118 results on '"Siegel, EM"'
Search Results
2. Impact of COVID-19 Pandemic on Healthcare Delivery, Behavioral Outcomes, and Financial Stress in 1,253 Individuals with Cancer at Huntsman Cancer Institute (HCI)
- Author
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Peoples, AR, primary, Himbert, C, additional, Hathaway, CA, additional, Kirchhoff, AC, additional, Ose, J, additional, Lin, T, additional, Colman, H, additional, Jones, KB, additional, Akerley, WL, additional, Grossman, D, additional, Hunt, JP, additional, Penedo, FJ, additional, Siegel, EM, additional, Ulrich, CM, additional, and Tworoger, SS, additional
- Published
- 2021
- Full Text
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3. Novel Common Genetic Susceptibility Loci for Colorectal Cancer
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Schmit, SL, Edlund, CK, Schumacher, FR, Gong, J, Harrison, TA, Huyghe, JR, Qu, C, Melas, M, Van den Berg, DJ, Wang, H, Tring, S, Plummer, SJ, Albanes, D, Alonso, MH, Amos, CI, Anton, K, Aragaki, AK, Arndt, V, Barry, EL, Berndt, SI, Bezieau, S, Bien, S, Bloomer, A, Boehm, J, Boutron-Ruault, M-C, Brenner, H, Brezina, S, Buchanan, DD, Butterbach, K, Caan, BJ, Campbell, PT, Carlson, CS, Castelao, JE, Chan, AT, Chang-Claude, J, Chanock, SJ, Cheng, I, Cheng, Y-W, Chin, LS, Church, JM, Church, T, Coetzee, GA, Cotterchio, M, Correa, MC, Curtis, KR, Duggan, D, Easton, DF, English, D, Feskens, EJM, Fischer, R, FitzGerald, LM, Fortini, BK, Fritsche, LG, Fuchs, CS, Gago-Dominguez, M, Gala, M, Gallinger, SJ, Gauderman, WJ, Giles, GG, Giovannucci, EL, Gogarten, SM, Gonzalez-Villalpando, C, Gonzalez-Villalpando, EM, Grady, WM, Greenson, JK, Gsur, A, Gunter, M, Haiman, CA, Hampe, J, Harlid, S, Harju, JF, Hayes, RB, Hofer, P, Hoffmeister, M, Hopper, JL, Huang, S-C, Huerta, JM, Hudson, TJ, Hunter, DJ, Idos, GE, Iwasaki, M, Jackson, RD, Jacobs, EJ, Jee, SH, Jenkins, MA, Jia, W-H, Jiao, S, Joshi, AD, Kolonel, LN, Kono, S, Kooperberg, C, Krogh, V, Kuehn, T, Kury, S, LaCroix, A, Laurie, CA, Lejbkowicz, F, Lemire, M, Lenz, H-J, Levine, D, Li, CI, Li, L, Lieb, W, Lin, Y, Lindor, NM, Liu, Y-R, Loupakis, F, Lu, Y, Luh, F, Ma, J, Mancao, C, Manion, FJ, Markowitz, SD, Martin, V, Matsuda, K, Matsuo, K, McDonnell, KJ, McNeil, CE, Milne, R, Molina, AJ, Mukherjee, B, Murphy, N, Newcomb, PA, Offit, K, Omichessan, H, Palli, D, Cotore, JPP, Perez-Mayoral, J, Pharoah, PD, Potter, JD, Raskin, L, Rennert, G, Rennert, HS, Riggs, BM, Schafmayer, C, Schoen, RE, Sellers, TA, Seminara, D, Severi, G, Shi, W, Shibata, D, Shu, X-O, Siegel, EM, Slattery, ML, Southey, M, Stadler, ZK, Stern, MC, Stintzing, S, Taverna, D, Thibodeau, SN, Thomas, DC, Trichopoulou, A, Tsugane, S, Ulrich, CM, van Duijnhoven, FJB, van Guelpan, B, Vijai, J, Virtamo, J, Weinstein, SJ, White, E, Win, AK, Wolk, A, Woods, M, Wu, AH, Wu, K, Xiang, Y-B, Yen, Y, Zanke, BW, Zeng, Y-X, Zhang, B, Zubair, N, Kweon, S-S, Figueiredo, JC, Zheng, W, Le Marchand, L, Lindblom, A, Moreno, V, Peters, U, Casey, G, Hsu, L, Conti, DV, Gruber, SB, Schmit, SL, Edlund, CK, Schumacher, FR, Gong, J, Harrison, TA, Huyghe, JR, Qu, C, Melas, M, Van den Berg, DJ, Wang, H, Tring, S, Plummer, SJ, Albanes, D, Alonso, MH, Amos, CI, Anton, K, Aragaki, AK, Arndt, V, Barry, EL, Berndt, SI, Bezieau, S, Bien, S, Bloomer, A, Boehm, J, Boutron-Ruault, M-C, Brenner, H, Brezina, S, Buchanan, DD, Butterbach, K, Caan, BJ, Campbell, PT, Carlson, CS, Castelao, JE, Chan, AT, Chang-Claude, J, Chanock, SJ, Cheng, I, Cheng, Y-W, Chin, LS, Church, JM, Church, T, Coetzee, GA, Cotterchio, M, Correa, MC, Curtis, KR, Duggan, D, Easton, DF, English, D, Feskens, EJM, Fischer, R, FitzGerald, LM, Fortini, BK, Fritsche, LG, Fuchs, CS, Gago-Dominguez, M, Gala, M, Gallinger, SJ, Gauderman, WJ, Giles, GG, Giovannucci, EL, Gogarten, SM, Gonzalez-Villalpando, C, Gonzalez-Villalpando, EM, Grady, WM, Greenson, JK, Gsur, A, Gunter, M, Haiman, CA, Hampe, J, Harlid, S, Harju, JF, Hayes, RB, Hofer, P, Hoffmeister, M, Hopper, JL, Huang, S-C, Huerta, JM, Hudson, TJ, Hunter, DJ, Idos, GE, Iwasaki, M, Jackson, RD, Jacobs, EJ, Jee, SH, Jenkins, MA, Jia, W-H, Jiao, S, Joshi, AD, Kolonel, LN, Kono, S, Kooperberg, C, Krogh, V, Kuehn, T, Kury, S, LaCroix, A, Laurie, CA, Lejbkowicz, F, Lemire, M, Lenz, H-J, Levine, D, Li, CI, Li, L, Lieb, W, Lin, Y, Lindor, NM, Liu, Y-R, Loupakis, F, Lu, Y, Luh, F, Ma, J, Mancao, C, Manion, FJ, Markowitz, SD, Martin, V, Matsuda, K, Matsuo, K, McDonnell, KJ, McNeil, CE, Milne, R, Molina, AJ, Mukherjee, B, Murphy, N, Newcomb, PA, Offit, K, Omichessan, H, Palli, D, Cotore, JPP, Perez-Mayoral, J, Pharoah, PD, Potter, JD, Raskin, L, Rennert, G, Rennert, HS, Riggs, BM, Schafmayer, C, Schoen, RE, Sellers, TA, Seminara, D, Severi, G, Shi, W, Shibata, D, Shu, X-O, Siegel, EM, Slattery, ML, Southey, M, Stadler, ZK, Stern, MC, Stintzing, S, Taverna, D, Thibodeau, SN, Thomas, DC, Trichopoulou, A, Tsugane, S, Ulrich, CM, van Duijnhoven, FJB, van Guelpan, B, Vijai, J, Virtamo, J, Weinstein, SJ, White, E, Win, AK, Wolk, A, Woods, M, Wu, AH, Wu, K, Xiang, Y-B, Yen, Y, Zanke, BW, Zeng, Y-X, Zhang, B, Zubair, N, Kweon, S-S, Figueiredo, JC, Zheng, W, Le Marchand, L, Lindblom, A, Moreno, V, Peters, U, Casey, G, Hsu, L, Conti, DV, and Gruber, SB
- Abstract
BACKGROUND: Previous genome-wide association studies (GWAS) have identified 42 loci (P < 5 × 10-8) associated with risk of colorectal cancer (CRC). Expanded consortium efforts facilitating the discovery of additional susceptibility loci may capture unexplained familial risk. METHODS: We conducted a GWAS in European descent CRC cases and control subjects using a discovery-replication design, followed by examination of novel findings in a multiethnic sample (cumulative n = 163 315). In the discovery stage (36 948 case subjects/30 864 control subjects), we identified genetic variants with a minor allele frequency of 1% or greater associated with risk of CRC using logistic regression followed by a fixed-effects inverse variance weighted meta-analysis. All novel independent variants reaching genome-wide statistical significance (two-sided P < 5 × 10-8) were tested for replication in separate European ancestry samples (12 952 case subjects/48 383 control subjects). Next, we examined the generalizability of discovered variants in East Asians, African Americans, and Hispanics (12 085 case subjects/22 083 control subjects). Finally, we examined the contributions of novel risk variants to familial relative risk and examined the prediction capabilities of a polygenic risk score. All statistical tests were two-sided. RESULTS: The discovery GWAS identified 11 variants associated with CRC at P < 5 × 10-8, of which nine (at 4q22.2/5p15.33/5p13.1/6p21.31/6p12.1/10q11.23/12q24.21/16q24.1/20q13.13) independently replicated at a P value of less than .05. Multiethnic follow-up supported the generalizability of discovery findings. These results demonstrated a 14.7% increase in familial relative risk explained by common risk alleles from 10.3% (95% confidence interval [CI] = 7.9% to 13.7%; known variants) to 11.9% (95% CI = 9.2% to 15.5%; known and novel variants). A polygenic risk score identified 4.3% of the population at an odds ratio for developing CRC of at least 2.0. CONCLUSIONS: T
- Published
- 2019
4. Shared heritability and functional enrichment across six solid cancers
- Author
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Jiang, X, Finucane, HK, Schumacher, FR, Schmit, SL, Tyrer, JP, Han, Y, Michailidou, K, Lesseur, C, Kuchenbaecker, KB, Dennis, J, Conti, DV, Casey, G, Gaudet, MM, Huyghe, JR, Albanes, D, Aldrich, MC, Andrew, AS, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Antonenkova, NN, Arnold, SM, Aronson, KJ, Arun, BK, Bandera, EV, Barkardottir, RB, Barnes, DR, Batra, J, Beckmann, MW, Benitez, J, Benlloch, S, Berchuck, A, Berndt, SI, Bickeboeller, H, Bien, SA, Blomqvist, C, Boccia, S, Bogdanova, NV, Bojesen, SE, Bolla, MK, Brauch, H, Brenner, H, Brenton, JD, Brook, MN, Brunet, J, Brunnstrom, H, Buchanan, DD, Burwinkel, B, Butzow, R, Cadoni, G, Caldes, T, Caligo, MA, Campbell, I, Campbell, PT, Cancel-Tassin, G, Cannon-Albright, L, Campa, D, Caporaso, N, Carvalho, AL, Chan, AT, Chang-Claude, J, Chanock, SJ, Chen, C, Christiani, DC, Claes, KBM, Claessens, F, Clements, J, Collee, JM, Correa, MC, Couch, FJ, Cox, A, Cunningham, JM, Cybulski, C, Czene, K, Daly, MB, defazio, A, Devilee, P, Diez, O, Gago-Dominguez, M, Donovan, JL, Doerk, T, Duell, EJ, Dunning, AM, Dwek, M, Eccles, DM, Edlund, CK, Edwards, DRV, Ellberg, C, Evans, DG, Fasching, PA, Ferris, RL, Liloglou, T, Figueiredo, JC, Fletcher, O, Fortner, RT, Fostira, F, Franceschi, S, Friedman, E, Gallinger, SJ, Ganz, PA, Garber, J, Garcia-Saenz, JA, Gayther, SA, Giles, GG, Godwin, AK, Goldberg, MS, Goldgar, DE, Goode, EL, Goodman, MT, Goodman, G, Grankvist, K, Greene, MH, Gronberg, H, Gronwald, J, Guenel, P, Hakansson, N, Hall, P, Hamann, U, Hamdy, FC, Hamilton, RJ, Hampe, J, Haugen, A, Heitz, F, Herrero, R, Hillemanns, P, Hoffmeister, M, Hogdall, E, Hong, Y-C, Hopper, JL, Houlston, R, Hulick, PJ, Hunter, DJ, Huntsman, DG, Idos, G, Imyanitov, EN, Ingles, SA, Isaacs, C, Jakubowska, A, James, P, Jenkins, MA, Johansson, M, John, EM, Joshi, AD, Kaneva, R, Karlan, BY, Kelemen, LE, Kuhl, T, Khaw, K-T, Khusnutdinova, E, Kibel, AS, Kiemeney, LA, Kim, J, Kjaer, SK, Knight, JA, Kogevinas, M, Kote-Jarai, Z, Koutros, S, Kristensen, VN, Kupryjanczyk, J, Lacko, M, Lam, S, Lambrechts, D, Landi, MT, Lazarus, P, Le, ND, Lee, E, Lejbkowicz, F, Lenz, H-J, Leslie, G, Lessel, D, Lester, J, Levine, DA, Li, L, Li, CI, Lindblom, A, Lindor, NM, Liu, G, Loupakis, F, Lubinski, J, Maehle, L, Maier, C, Mannermaa, A, Le Marchand, L, Margolin, S, May, T, McGuffog, L, Meindl, A, Middha, P, Miller, A, Milne, RL, MacInnis, RJ, Modugno, F, Montagna, M, Moreno, V, Moysich, KB, Mucci, L, Muir, K, Mulligan, AM, Nathanson, KL, Neal, DE, Ness, AR, Neuhausen, SL, Nevanlinna, H, Newcomb, PA, Newcomb, LF, Nielsen, FC, Nikitina-Zake, L, Nordestgaard, BG, Nussbaum, RL, Offit, K, Olah, E, Al Olama, AA, Olopade, OI, Olshan, AF, Olsson, H, Osorio, A, Pandha, H, Park, JY, Pashayan, N, Parsons, MT, Pejovic, T, Penney, KL, Peters, WHM, Phelan, CM, Phipps, AI, Plaseska-Karanfilska, D, Pring, M, Prokofyeva, D, Radice, P, Stefansson, K, Ramus, SJ, Raskin, L, Rennert, G, Rennert, HS, van Rensburg, EJ, Riggan, MJ, Risch, HA, Risch, A, Roobol, MJ, Rosenstein, BS, Rossing, MA, De Ruyck, K, Saloustros, E, Sandler, DP, Sawyer, EJ, Schabath, MB, Schleutker, J, Schmidt, MK, Setiawan, VW, Shen, H, Siegel, EM, Sieh, W, Singer, CF, Slattery, ML, Sorensen, KD, Southey, MC, Spurdle, AB, Stanford, JL, Stevens, VL, Stintzing, S, Stone, J, Sundfeldt, K, Sutphen, R, Swerdlow, AJ, Tajara, EH, Tangen, CM, Tardon, A, Taylor, JA, Teare, MD, Teixeira, MR, Terry, MB, Terry, KL, Thibodeau, SN, Thomassen, M, Bjorge, L, Tischkowitz, M, Toland, AE, Torres, D, Townsend, PA, Travis, RC, Tung, N, Tworoger, SS, Ulrich, CM, Usmani, N, Vachon, CM, Van Nieuwenhuysen, E, Vega, A, Aguado-Barrera, ME, Wang, Q, Webb, PM, Weinberg, CR, Weinstein, S, Weissler, MC, Weitzel, JN, West, CML, White, E, Whittemore, AS, Wichmann, H-E, Wiklund, F, Winqvist, R, Wolk, A, Woll, P, Woods, M, Wu, AH, Wu, X, Yannoukakos, D, Zheng, W, Zienolddiny, S, Ziogas, A, Zorn, KK, Lane, JM, Saxena, R, Thomas, D, Hung, RJ, Diergaarde, B, Mckay, J, Peters, U, Hsu, L, Garcia-Closas, M, Eeles, RA, Chenevix-Trench, G, Brennan, PJ, Haiman, CA, Simard, J, Easton, DF, Gruber, SB, Pharoah, PDP, Price, AL, Pasaniuc, B, Amos, CI, Kraft, P, Lindstrom, S, Jiang, X, Finucane, HK, Schumacher, FR, Schmit, SL, Tyrer, JP, Han, Y, Michailidou, K, Lesseur, C, Kuchenbaecker, KB, Dennis, J, Conti, DV, Casey, G, Gaudet, MM, Huyghe, JR, Albanes, D, Aldrich, MC, Andrew, AS, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Antonenkova, NN, Arnold, SM, Aronson, KJ, Arun, BK, Bandera, EV, Barkardottir, RB, Barnes, DR, Batra, J, Beckmann, MW, Benitez, J, Benlloch, S, Berchuck, A, Berndt, SI, Bickeboeller, H, Bien, SA, Blomqvist, C, Boccia, S, Bogdanova, NV, Bojesen, SE, Bolla, MK, Brauch, H, Brenner, H, Brenton, JD, Brook, MN, Brunet, J, Brunnstrom, H, Buchanan, DD, Burwinkel, B, Butzow, R, Cadoni, G, Caldes, T, Caligo, MA, Campbell, I, Campbell, PT, Cancel-Tassin, G, Cannon-Albright, L, Campa, D, Caporaso, N, Carvalho, AL, Chan, AT, Chang-Claude, J, Chanock, SJ, Chen, C, Christiani, DC, Claes, KBM, Claessens, F, Clements, J, Collee, JM, Correa, MC, Couch, FJ, Cox, A, Cunningham, JM, Cybulski, C, Czene, K, Daly, MB, defazio, A, Devilee, P, Diez, O, Gago-Dominguez, M, Donovan, JL, Doerk, T, Duell, EJ, Dunning, AM, Dwek, M, Eccles, DM, Edlund, CK, Edwards, DRV, Ellberg, C, Evans, DG, Fasching, PA, Ferris, RL, Liloglou, T, Figueiredo, JC, Fletcher, O, Fortner, RT, Fostira, F, Franceschi, S, Friedman, E, Gallinger, SJ, Ganz, PA, Garber, J, Garcia-Saenz, JA, Gayther, SA, Giles, GG, Godwin, AK, Goldberg, MS, Goldgar, DE, Goode, EL, Goodman, MT, Goodman, G, Grankvist, K, Greene, MH, Gronberg, H, Gronwald, J, Guenel, P, Hakansson, N, Hall, P, Hamann, U, Hamdy, FC, Hamilton, RJ, Hampe, J, Haugen, A, Heitz, F, Herrero, R, Hillemanns, P, Hoffmeister, M, Hogdall, E, Hong, Y-C, Hopper, JL, Houlston, R, Hulick, PJ, Hunter, DJ, Huntsman, DG, Idos, G, Imyanitov, EN, Ingles, SA, Isaacs, C, Jakubowska, A, James, P, Jenkins, MA, Johansson, M, John, EM, Joshi, AD, Kaneva, R, Karlan, BY, Kelemen, LE, Kuhl, T, Khaw, K-T, Khusnutdinova, E, Kibel, AS, Kiemeney, LA, Kim, J, Kjaer, SK, Knight, JA, Kogevinas, M, Kote-Jarai, Z, Koutros, S, Kristensen, VN, Kupryjanczyk, J, Lacko, M, Lam, S, Lambrechts, D, Landi, MT, Lazarus, P, Le, ND, Lee, E, Lejbkowicz, F, Lenz, H-J, Leslie, G, Lessel, D, Lester, J, Levine, DA, Li, L, Li, CI, Lindblom, A, Lindor, NM, Liu, G, Loupakis, F, Lubinski, J, Maehle, L, Maier, C, Mannermaa, A, Le Marchand, L, Margolin, S, May, T, McGuffog, L, Meindl, A, Middha, P, Miller, A, Milne, RL, MacInnis, RJ, Modugno, F, Montagna, M, Moreno, V, Moysich, KB, Mucci, L, Muir, K, Mulligan, AM, Nathanson, KL, Neal, DE, Ness, AR, Neuhausen, SL, Nevanlinna, H, Newcomb, PA, Newcomb, LF, Nielsen, FC, Nikitina-Zake, L, Nordestgaard, BG, Nussbaum, RL, Offit, K, Olah, E, Al Olama, AA, Olopade, OI, Olshan, AF, Olsson, H, Osorio, A, Pandha, H, Park, JY, Pashayan, N, Parsons, MT, Pejovic, T, Penney, KL, Peters, WHM, Phelan, CM, Phipps, AI, Plaseska-Karanfilska, D, Pring, M, Prokofyeva, D, Radice, P, Stefansson, K, Ramus, SJ, Raskin, L, Rennert, G, Rennert, HS, van Rensburg, EJ, Riggan, MJ, Risch, HA, Risch, A, Roobol, MJ, Rosenstein, BS, Rossing, MA, De Ruyck, K, Saloustros, E, Sandler, DP, Sawyer, EJ, Schabath, MB, Schleutker, J, Schmidt, MK, Setiawan, VW, Shen, H, Siegel, EM, Sieh, W, Singer, CF, Slattery, ML, Sorensen, KD, Southey, MC, Spurdle, AB, Stanford, JL, Stevens, VL, Stintzing, S, Stone, J, Sundfeldt, K, Sutphen, R, Swerdlow, AJ, Tajara, EH, Tangen, CM, Tardon, A, Taylor, JA, Teare, MD, Teixeira, MR, Terry, MB, Terry, KL, Thibodeau, SN, Thomassen, M, Bjorge, L, Tischkowitz, M, Toland, AE, Torres, D, Townsend, PA, Travis, RC, Tung, N, Tworoger, SS, Ulrich, CM, Usmani, N, Vachon, CM, Van Nieuwenhuysen, E, Vega, A, Aguado-Barrera, ME, Wang, Q, Webb, PM, Weinberg, CR, Weinstein, S, Weissler, MC, Weitzel, JN, West, CML, White, E, Whittemore, AS, Wichmann, H-E, Wiklund, F, Winqvist, R, Wolk, A, Woll, P, Woods, M, Wu, AH, Wu, X, Yannoukakos, D, Zheng, W, Zienolddiny, S, Ziogas, A, Zorn, KK, Lane, JM, Saxena, R, Thomas, D, Hung, RJ, Diergaarde, B, Mckay, J, Peters, U, Hsu, L, Garcia-Closas, M, Eeles, RA, Chenevix-Trench, G, Brennan, PJ, Haiman, CA, Simard, J, Easton, DF, Gruber, SB, Pharoah, PDP, Price, AL, Pasaniuc, B, Amos, CI, Kraft, P, and Lindstrom, S
- Abstract
Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (rg = 0.57, p = 4.6 × 10-8), breast and ovarian cancer (rg = 0.24, p = 7 × 10-5), breast and lung cancer (rg = 0.18, p =1.5 × 10-6) and breast and colorectal cancer (rg = 0.15, p = 1.1 × 10-4). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.
- Published
- 2019
5. Shared heritability and functional enrichment across six solid cancers (vol 10, 431, 2019)
- Author
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Jiang, X, Finucane, HK, Schumacher, FR, Schmit, SL, Tyrer, JP, Han, Y, Michailidou, K, Lesseur, C, Kuchenbaecker, KB, Dennis, J, Conti, DV, Casey, G, Gaudet, MM, Huyghe, JR, Albanes, D, Aldrich, MC, Andrew, AS, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Antonenkova, NN, Arnold, SM, Aronson, KJ, Arun, BK, Bandera, EV, Barkardottir, RB, Barnes, DR, Batra, J, Beckmann, MW, Benitez, J, Benlloch, S, Berchuck, A, Berndt, SI, Bickeboller, H, Bien, SA, Blomqvist, C, Boccia, S, Bogdanova, NV, Bojesen, SE, Bolla, MK, Brauch, H, Brenner, H, Brenton, JD, Brook, MN, Brunet, J, Brunnstrom, H, Buchanan, DD, Burwinkel, B, Butzow, R, Cadoni, G, Caldes, T, Caligo, MA, Campbell, I, Campbell, PT, Cancel-Tassin, G, Cannon-Albright, L, Campa, D, Caporaso, N, Carvalho, AL, Chan, AT, Chang-Claude, J, Chanock, SJ, Chen, C, Christiani, DC, Claes, KBM, Claessens, F, Clements, J, Collee, JM, Correa, MC, Couch, FJ, Cox, A, Cunningham, JM, Cybulski, C, Czene, K, Daly, MB, deFazio, A, Devilee, P, Diez, O, Gago-Dominguez, M, Donovan, JL, Dork, T, Duell, EJ, Dunning, AM, Dwek, M, Eccles, DM, Edlund, CK, Edwards, DRV, Ellberg, C, Evans, DG, Fasching, PA, Ferris, RL, Liloglou, T, Figueiredo, JC, Fletcher, O, Fortner, RT, Fostira, F, Franceschi, S, Friedman, E, Gallinger, SJ, Ganz, PA, Garber, J, Garcia-Saenz, JA, Gayther, SA, Giles, GG, Godwin, AK, Goldberg, MS, Goldgar, DE, Goode, EL, Goodman, MT, Goodman, G, Grankvist, K, Greene, MH, Gronberg, H, Gronwald, J, Guenel, P, Hakansson, N, Hall, P, Hamann, U, Hamdy, FC, Hamilton, RJ, Hampe, J, Haugen, A, Heitz, F, Herrero, R, Hillemanns, P, Hoffmeister, M, Hogdall, E, Hong, Y-C, Hopper, JL, Houlston, R, Hulick, PJ, Hunter, DJ, Huntsman, DG, Idos, G, Imyanitov, EN, Ingles, SA, Isaacs, C, Jakubowska, A, James, P, Jenkins, MA, Johansson, M, John, EM, Joshi, AD, Kaneva, R, Karlan, BY, Kelemen, LE, Kuehl, T, Khaw, K-T, Khusnutdinova, E, Kibel, AS, Kiemeney, LA, Kim, J, Kjaer, SK, Knight, JA, Kogevinas, M, Kote-Jarai, Z, Koutros, S, Kristensen, VN, Kupryjanczyk, J, Lacko, M, Lam, S, Lambrechts, D, Landi, MT, Lazarus, P, Le, ND, Lee, E, Lejbkowicz, F, Lenz, H-J, Leslie, G, Lessel, D, Lester, J, Levine, DA, Li, L, Li, CI, Lindblom, A, Lindor, NM, Liu, G, Loupakis, F, Lubinski, J, Maehle, L, Maier, C, Mannermaa, A, Le Marchand, L, Margolin, S, May, T, McGuffog, L, Meindl, A, Middha, P, Miller, A, Milne, RL, MacInnis, RJ, Modugno, F, Montagna, M, Moreno, V, Moysich, KB, Mucci, L, Muir, K, Mulligan, AM, Nathanson, KL, Neal, DE, Ness, AR, Neuhausen, SL, Nevanlinna, H, Newcomb, PA, Newcomb, LF, Nielsen, FC, Nikitina-Zake, L, Nordestgaard, BG, Nussbaum, RL, Offit, K, Olah, E, Al Olama, AA, Olopade, OI, Olshan, AF, Olsson, H, Osorio, A, Pandha, H, Park, JY, Pashayan, N, Parsons, MT, Pejovic, T, Penney, KL, Peters, WHM, Phelan, CM, Phipps, AI, Plaseska-Karanfilska, D, Pring, M, Prokofyeva, D, Radice, P, Stefansson, K, Ramus, SJ, Raskin, L, Rennert, G, Rennert, HS, van Rensburg, EJ, Riggan, MJ, Risch, HA, Risch, A, Roobol, MJ, Rosenstein, BS, Rossing, MA, De Ruyck, K, Saloustros, E, Sandler, DP, Sawyer, EJ, Schabath, MB, Schleutker, J, Schmidt, MK, Setiawan, VW, Shen, H, Siegel, EM, Sieh, W, Singer, CF, Slattery, ML, Sorensen, KD, Southey, MC, Spurdle, AB, Stanford, JL, Stevens, VL, Stintzing, S, Stone, J, Sundfeldt, K, Sutphen, R, Swerdlow, AJ, Tajara, EH, Tangen, CM, Tardon, A, Taylor, JA, Teare, MD, Teixeira, MR, Terry, MB, Terry, KL, Thibodeau, SN, Thomassen, M, Bjorge, L, Tischkowitz, M, Toland, AE, Torres, D, Townsend, PA, Travis, RC, Tung, N, Tworoger, SS, Ulrich, CM, Usmani, N, Vachon, CM, Van Nieuwenhuysen, E, Vega, A, Elias Aguado-Barrera, M, Wang, Q, Webb, PM, Weinberg, CR, Weinstein, S, Weissler, MC, Weitzel, JN, West, CML, White, E, Whittemore, AS, Wichmann, H-E, Wiklund, F, Winqvist, R, Wolk, A, Woll, P, Woods, M, Wu, AH, Wu, X, Yannoukakos, D, Zheng, W, Zienolddiny, S, Ziogas, A, Zorn, KK, Lane, JM, Saxena, R, Thomas, D, Hung, RJ, Diergaarde, B, McKay, J, Peters, U, Hsu, L, Garcia-Closas, M, Eeles, RA, Chenevix-Trench, G, Brennan, PJ, Haiman, CA, Simard, J, Easton, DF, Gruber, SB, Pharoah, PDP, Price, AL, Pasaniuc, B, Amos, CI, Kraft, P, Lindstrom, S, Jiang, X, Finucane, HK, Schumacher, FR, Schmit, SL, Tyrer, JP, Han, Y, Michailidou, K, Lesseur, C, Kuchenbaecker, KB, Dennis, J, Conti, DV, Casey, G, Gaudet, MM, Huyghe, JR, Albanes, D, Aldrich, MC, Andrew, AS, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Antonenkova, NN, Arnold, SM, Aronson, KJ, Arun, BK, Bandera, EV, Barkardottir, RB, Barnes, DR, Batra, J, Beckmann, MW, Benitez, J, Benlloch, S, Berchuck, A, Berndt, SI, Bickeboller, H, Bien, SA, Blomqvist, C, Boccia, S, Bogdanova, NV, Bojesen, SE, Bolla, MK, Brauch, H, Brenner, H, Brenton, JD, Brook, MN, Brunet, J, Brunnstrom, H, Buchanan, DD, Burwinkel, B, Butzow, R, Cadoni, G, Caldes, T, Caligo, MA, Campbell, I, Campbell, PT, Cancel-Tassin, G, Cannon-Albright, L, Campa, D, Caporaso, N, Carvalho, AL, Chan, AT, Chang-Claude, J, Chanock, SJ, Chen, C, Christiani, DC, Claes, KBM, Claessens, F, Clements, J, Collee, JM, Correa, MC, Couch, FJ, Cox, A, Cunningham, JM, Cybulski, C, Czene, K, Daly, MB, deFazio, A, Devilee, P, Diez, O, Gago-Dominguez, M, Donovan, JL, Dork, T, Duell, EJ, Dunning, AM, Dwek, M, Eccles, DM, Edlund, CK, Edwards, DRV, Ellberg, C, Evans, DG, Fasching, PA, Ferris, RL, Liloglou, T, Figueiredo, JC, Fletcher, O, Fortner, RT, Fostira, F, Franceschi, S, Friedman, E, Gallinger, SJ, Ganz, PA, Garber, J, Garcia-Saenz, JA, Gayther, SA, Giles, GG, Godwin, AK, Goldberg, MS, Goldgar, DE, Goode, EL, Goodman, MT, Goodman, G, Grankvist, K, Greene, MH, Gronberg, H, Gronwald, J, Guenel, P, Hakansson, N, Hall, P, Hamann, U, Hamdy, FC, Hamilton, RJ, Hampe, J, Haugen, A, Heitz, F, Herrero, R, Hillemanns, P, Hoffmeister, M, Hogdall, E, Hong, Y-C, Hopper, JL, Houlston, R, Hulick, PJ, Hunter, DJ, Huntsman, DG, Idos, G, Imyanitov, EN, Ingles, SA, Isaacs, C, Jakubowska, A, James, P, Jenkins, MA, Johansson, M, John, EM, Joshi, AD, Kaneva, R, Karlan, BY, Kelemen, LE, Kuehl, T, Khaw, K-T, Khusnutdinova, E, Kibel, AS, Kiemeney, LA, Kim, J, Kjaer, SK, Knight, JA, Kogevinas, M, Kote-Jarai, Z, Koutros, S, Kristensen, VN, Kupryjanczyk, J, Lacko, M, Lam, S, Lambrechts, D, Landi, MT, Lazarus, P, Le, ND, Lee, E, Lejbkowicz, F, Lenz, H-J, Leslie, G, Lessel, D, Lester, J, Levine, DA, Li, L, Li, CI, Lindblom, A, Lindor, NM, Liu, G, Loupakis, F, Lubinski, J, Maehle, L, Maier, C, Mannermaa, A, Le Marchand, L, Margolin, S, May, T, McGuffog, L, Meindl, A, Middha, P, Miller, A, Milne, RL, MacInnis, RJ, Modugno, F, Montagna, M, Moreno, V, Moysich, KB, Mucci, L, Muir, K, Mulligan, AM, Nathanson, KL, Neal, DE, Ness, AR, Neuhausen, SL, Nevanlinna, H, Newcomb, PA, Newcomb, LF, Nielsen, FC, Nikitina-Zake, L, Nordestgaard, BG, Nussbaum, RL, Offit, K, Olah, E, Al Olama, AA, Olopade, OI, Olshan, AF, Olsson, H, Osorio, A, Pandha, H, Park, JY, Pashayan, N, Parsons, MT, Pejovic, T, Penney, KL, Peters, WHM, Phelan, CM, Phipps, AI, Plaseska-Karanfilska, D, Pring, M, Prokofyeva, D, Radice, P, Stefansson, K, Ramus, SJ, Raskin, L, Rennert, G, Rennert, HS, van Rensburg, EJ, Riggan, MJ, Risch, HA, Risch, A, Roobol, MJ, Rosenstein, BS, Rossing, MA, De Ruyck, K, Saloustros, E, Sandler, DP, Sawyer, EJ, Schabath, MB, Schleutker, J, Schmidt, MK, Setiawan, VW, Shen, H, Siegel, EM, Sieh, W, Singer, CF, Slattery, ML, Sorensen, KD, Southey, MC, Spurdle, AB, Stanford, JL, Stevens, VL, Stintzing, S, Stone, J, Sundfeldt, K, Sutphen, R, Swerdlow, AJ, Tajara, EH, Tangen, CM, Tardon, A, Taylor, JA, Teare, MD, Teixeira, MR, Terry, MB, Terry, KL, Thibodeau, SN, Thomassen, M, Bjorge, L, Tischkowitz, M, Toland, AE, Torres, D, Townsend, PA, Travis, RC, Tung, N, Tworoger, SS, Ulrich, CM, Usmani, N, Vachon, CM, Van Nieuwenhuysen, E, Vega, A, Elias Aguado-Barrera, M, Wang, Q, Webb, PM, Weinberg, CR, Weinstein, S, Weissler, MC, Weitzel, JN, West, CML, White, E, Whittemore, AS, Wichmann, H-E, Wiklund, F, Winqvist, R, Wolk, A, Woll, P, Woods, M, Wu, AH, Wu, X, Yannoukakos, D, Zheng, W, Zienolddiny, S, Ziogas, A, Zorn, KK, Lane, JM, Saxena, R, Thomas, D, Hung, RJ, Diergaarde, B, McKay, J, Peters, U, Hsu, L, Garcia-Closas, M, Eeles, RA, Chenevix-Trench, G, Brennan, PJ, Haiman, CA, Simard, J, Easton, DF, Gruber, SB, Pharoah, PDP, Price, AL, Pasaniuc, B, Amos, CI, Kraft, P, and Lindstrom, S
- Abstract
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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- 2019
6. The Life of the Society of the Holy Child Jesus in the United States, 1862 to Present: An Ecclesial Perspective
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McDougall, Roseanne and Siegel, Emily
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- 2022
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7. MEDICAL SURVEILLANCE OF CLANDESTINE DRUG LAB INVESTIGATORS
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Burgess, JL, Kovalchick, DF, Siegel, EM, and McCurdy, SA
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Police -- Health aspects ,Drug traffic ,Environmental issues ,Health ,Pharmaceuticals and cosmetics industries - Abstract
Objective: To evaluate risk factors for longitudinal changes in medical surveillance data in law enforcement officers investigating clandestine drug laboratories. Methods: Lab investigators with initial training and at least one annual update and two medical surveillance examinations were eligible for the study. Participants completed a questionnaire evaluating occupational and personal health history. Medical surveillance examinations and administrative records were reviewed. Longitudinal analysis using a first-order random effects model (REM), which is similar to multiple regression, was implemented to identify risk factors for longitudinal changes in pulmonary function ([FEV.sub.1]), and laboratory tests (ALT, AST, hemoglobin, platelets, and WBC). Results: Forty-two (48%) of 88 eligible subjects participated in the study. Participants had an average of 3.8 medical evaluations for the period 1991 to 1998. Average annual decline in [FEV.sub.1] was 0.11 mL/y (range 0.007-0.670). There were no associations between longitudinal changes in [FEV.sub.1], duration of exposure, and extent of respiratory protection used. For ALT, body mass index (coef. 1.38, p = 0.006), minutes spent in level B protection during entry (coef. 0.16, p = 0.008), and minutes spent in level D protection during entry (coef. -0.04, p = 0.017), but not alcohol use, were significant risk factors. For AST age (coef. -0.43, p = 0.023) and minutes spent in level D protection during entry (coef. -0.03, p = 0.024) were significant risk factors. No significant association was found between changes in hematologic parameters and measures of occupational exposure. Conclusions: No association was found between indices of exposure to methamphetamine labs and longitudinal changes in [FEV.sub.1]. Contrary to expectations, ALT and AST decreased with longer periods of unprotected exposure during lab entry., Burgess JL, Kovalchick DF, Siegel EM, McCurdy SA. University of Arizona, Tucson, AZ; University of Washington, Seattle, WA; University of California, Davis, [...]
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- 2000
8. 25(OH)D, folate, and vitamin B12 biomarkers among international colorectal cancer patients
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Ulrich, C, Siegel, EM, Brenner, H, Chang-Claude, J, Kotzmann, J, Song, X, Owen, R, Hoffmeister, M, Becher, H, Shibata, D, Tosic, S, Abbenhardt, C, Makar, K, Sellers, TA, Grady, W, Ulrich, C, Siegel, EM, Brenner, H, Chang-Claude, J, Kotzmann, J, Song, X, Owen, R, Hoffmeister, M, Becher, H, Shibata, D, Tosic, S, Abbenhardt, C, Makar, K, Sellers, TA, and Grady, W
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- 2011
9. Circulating tryptophan-kynurenine pathway metabolites are associated with all-cause mortality among patients with stage I-III colorectal cancer.
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Damerell V, Klaassen-Dekker N, Brezina S, Ose J, Ulvik A, van Roekel EH, Holowatyj AN, Baierl A, Böhm J, Bours MJL, Brenner H, de Wilt JHW, Grady WM, Habermann N, Hoffmeister M, Keski-Rahkonen P, Lin T, Schirmacher P, Schrotz-King P, Ulrich AB, van Duijnhoven FJB, Warby CA, Shibata D, Toriola AT, Figueiredo JC, Siegel EM, Li CI, Gsur A, Kampman E, Schneider M, Ueland PM, Weijenberg MP, Ulrich CM, Kok DE, and Gigic B
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- Humans, Male, Female, Middle Aged, Aged, Prospective Studies, Neoplasm Staging, Prognosis, 3-Hydroxyanthranilic Acid metabolism, Biomarkers, Tumor blood, Xanthurenates blood, Quinolinic Acid blood, Kynurenic Acid blood, Metabolic Networks and Pathways, ortho-Aminobenzoates, Kynurenine blood, Kynurenine analogs & derivatives, Tryptophan blood, Tryptophan metabolism, Colorectal Neoplasms mortality, Colorectal Neoplasms blood, Colorectal Neoplasms pathology
- Abstract
Alterations within the tryptophan-kynurenine metabolic pathway have been linked to the etiology of colorectal cancer (CRC), but the relevance of this pathway for prognostic outcomes in CRC patients needs further elucidation. Therefore, we investigated associations between circulating concentrations of tryptophan-kynurenine pathway metabolites and all-cause mortality among CRC patients. This study utilizes data from 2102 stage I-III CRC patients participating in six prospective cohorts involved in the international FOCUS Consortium. Preoperative circulating concentrations of tryptophan, kynurenine, kynurenic acid (KA), 3-hydroxykynurenine (HK), xanthurenic acid (XA), 3-hydroxyanthranilic acid (HAA), anthranilic acid (AA), picolinic acid (PA), and quinolinic acid (QA) were measured by liquid chromatography-tandem mass spectrometry. Using Cox proportional hazards regression, we examined associations of above-mentioned metabolites with all-cause mortality, adjusted for potential confounders. During a median follow-up of 3.2 years (interquartile range: 2.2-4.9), 290 patients (13.8%) deceased. Higher blood concentrations of tryptophan, XA, and PA were associated with a lower risk of all-cause mortality (per doubling in concentrations: tryptophan: HR = 0.56; 95%CI:0.41,0.76, XA: HR = 0.74; 95%CI:0.64,0.85, PA: HR = 0.76; 95%CI:0.64,0.92), while higher concentrations of HK and QA were associated with an increased risk of death (per doubling in concentrations: HK: HR = 1.80; 95%CI:1.47,2.21, QA: HR = 1.31; 95%CI:1.05,1.63). A higher kynurenine-to-tryptophan ratio, a marker of cell-mediated immune activation, was associated with an increased risk of death (per doubling: HR = 2.07; 95%CI:1.52,2.83). In conclusion, tryptophan-kynurenine pathway metabolites may be prognostic markers of survival in CRC patients., (© 2024 The Author(s). International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.)
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- 2025
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10. The gut microbiome is associated with disease-free survival in stage I-III colorectal cancer patients.
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Byrd DA, Damerell V, Gomez Morales MF, Hogue SR, Lin T, Ose J, Himbert C, Ilozumba MN, Kahlert C, Shibata D, Toriola AT, Li CI, Figueiredo J, Stephens WZ, Warby CA, Hardikar S, Siegel EM, Round J, Ulrich CM, and Gigic B
- Abstract
Colorectal cancer (CRC) is the second overall leading cause of cancer death in the United States, with recurrence being a frequent cause of mortality. Approaches to improve disease-free survival (DFS) are urgently needed. The gut microbiome, reflected in fecal samples, is likely mechanistically linked to CRC progression and may serve as a non-invasive biomarker. Accordingly, we leveraged baseline fecal samples from N = 166 stage I-III CRC patients in the ColoCare Study, a prospective cohort of newly diagnosed CRC patients. We sequenced the V3 and V4 regions of the 16S rRNA gene to characterize fecal bacteria. We calculated estimates of alpha diversity, beta diversity, and a priori- and exploratory-selected bacterial presence/absence and relative abundance. Associations of microbial metrics with DFS were estimated using multivariable Cox proportional hazards models. We found that alpha diversity was strongly associated with improved DFS, most strongly among rectal cancer patients (Shannon HR
rectum = 0.40 95% CI = 0.19, 0.87; p = .02). Overall microbiome composition differences (beta diversity), as characterized by principal coordinate axes, were statistically significantly associated with DFS. Peptostreptococcus was statistically significantly associated with worse DFS (HR = 1.62, 95% CI = 1.13, 2.31; p = .01 per 1-SD) and Order Clostridiales was associated with improved DFS (HR = 0.62, 95% CI = 0.43-0.88; p = .01 per 1-SD). In exploratory analyses, Coprococcus and Roseburia were strongly associated with improved DFS. Overall, higher bacterial diversity and multiple bacteria were strongly associated with DFS. Metagenomic sequencing to elucidate species, gene, and functional level details among larger, diverse patient populations are critically needed to support the microbiome as a biomarker of CRC outcomes., (© 2025 UICC.)- Published
- 2025
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11. The Functional Transcriptomic Landscape Informs Therapeutic Strategies in Multiple Myeloma.
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Sudalagunta PR, Canevarolo RR, Meads MB, Silva M, Zhao X, Cubitt CL, Sansil SS, DeAvila G, Alugubelli RR, Bishop RT, Tungesvik A, Zhang Q, Hampton O, Teer JK, Welsh EA, Yoder SJ, Shah BD, Hazlehurst L, Gatenby RA, Van Domelen DR, Chai Y, Wang F, DeCastro A, Bloomer AM, Siegel EM, Lynch CC, Sullivan DM, Alsina M, Nishihori T, Brayer J, Cleveland JL, Dalton W, Walker CJ, Landesman Y, Baz R, Silva AS, and Shain KH
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- Humans, Triazoles pharmacology, Triazoles therapeutic use, Biomarkers, Tumor genetics, Biomarkers, Tumor metabolism, Drug Resistance, Neoplasm genetics, Gene Expression Regulation, Neoplastic drug effects, Gene Expression Profiling methods, Multiple Myeloma genetics, Multiple Myeloma drug therapy, Multiple Myeloma pathology, Transcriptome, Hydrazines pharmacology, Hydrazines therapeutic use, Antibodies, Monoclonal therapeutic use, Antibodies, Monoclonal pharmacology
- Abstract
Several therapeutic agents have been approved for treating multiple myeloma, a cancer of bone marrow-resident plasma cells. Predictive biomarkers for drug response could help guide clinical strategies to optimize outcomes. In this study, we present an integrated functional genomic analysis of tumor samples from patients multiple myeloma that were assessed for their ex vivo drug sensitivity to 37 drugs, clinical variables, cytogenetics, mutational profiles, and transcriptomes. This analysis revealed a multiple myeloma transcriptomic topology that generates "footprints" in association with ex vivo drug sensitivity that have both predictive and mechanistic applications. Validation of the transcriptomic footprints for the anti-CD38 mAb daratumumab (DARA) and the nuclear export inhibitor selinexor (SELI) demonstrated that these footprints can accurately classify clinical responses. The analysis further revealed that DARA and SELI have anticorrelated mechanisms of resistance, and treatment with a SELI-based regimen immediately after a DARA-containing regimen was associated with improved survival in three independent clinical trials, supporting an evolutionary-based strategy involving sequential therapy. These findings suggest that this unique repository and computational framework can be leveraged to inform underlying biology and to identify therapeutic strategies to improve treatment of multiple myeloma. Significance: Functional genomic analysis of primary multiple myeloma samples elucidated predictive biomarkers for drugs and molecular pathways mediating therapeutic response, which revealed a rationale for sequential therapy to maximize patient outcomes., (©2024 The Authors; Published by the American Association for Cancer Research.)
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- 2025
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12. Alcohol Consumption and Smoking History at the Time of Diagnosis and the Risk of Colorectal Cancer Recurrence and Mortality: Results from the ColoCare Study.
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Loroña NC, Himbert C, Ose J, Cohen SA, Strehli I, Ulrich CM, Cobos S, Jean-Baptiste E, Bloomer AM, Figueiredo JC, Gigic B, Hardikar S, Karchi M, Mutch M, Peoples AR, Schneider M, Shibata D, Siegel EM, Toriola AT, Wood EH, and Li CI
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- Humans, Male, Female, Middle Aged, Aged, Risk Factors, Longitudinal Studies, Colorectal Neoplasms mortality, Colorectal Neoplasms pathology, Colorectal Neoplasms epidemiology, Alcohol Drinking adverse effects, Alcohol Drinking epidemiology, Neoplasm Recurrence, Local epidemiology, Smoking adverse effects, Smoking epidemiology
- Abstract
Background: Findings from studies investigating the impacts of alcohol use and smoking on colorectal cancer outcomes are inconclusive. This study aimed to investigate associations between alcohol use and smoking status at the time of diagnosis on recurrence and overall mortality among patients with colorectal cancer., Methods: The present study included 2,216 stage I-IV patients with colorectal cancer from the longitudinal multicenter ColoCare Study, with available data on recurrence and colorectal cancer-specific mortality. Cox proportional hazards models adjusted for age, sex, race, ethnicity, stage, tumor site, treatment, comorbidities, body mass index, and study site were fit, with imputations for missing data., Results: We observed 235 recurrences and 308 colorectal cancer-specific deaths over an average of 3 years of follow-up. After adjusting for confounders, current alcohol consumption and ever smoking, relative to not current consumption and never smoking, respectively, were not statistically significantly associated with colorectal cancer recurrence [alcohol-HR, 0.95. 95% confidence interval (CI), 0.71-1.29; ever smoking-HR, 0.98, 95% CI, 0.75-1.29] or colorectal cancer-specific mortality (alcohol-HR, 0.95. 95% CI, 0.74-1.22; ever smoking-HR, 0.98, 95% CI, 0.77-1.24)., Conclusions: No associations were observed between alcohol and smoking at diagnosis and clinical outcomes in this well-annotated longitudinal cohort., Impact: Our cohort study reports no significant associations; however, limiting alcohol use and avoiding smoking are health behaviors recommended for colorectal cancer survivors for prevention of other cancers and chronic conditions., (©2024 American Association for Cancer Research.)
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- 2025
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13. Social isolation, depression, and anxiety among young adult cancer survivors: The mediating role of social connectedness.
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Li X, Hathaway CA, Small BJ, Tometich DB, Gudenkauf LM, Hoogland AI, Fox RS, Victorson DE, Salsman JM, Gonzalez BD, Jim HSL, Siegel EM, Tworoger SS, and Oswald LB
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- Humans, Female, Male, Adult, Young Adult, Adolescent, Neoplasms psychology, Surveys and Questionnaires, Psychological Distress, Cohort Studies, Social Isolation psychology, Cancer Survivors psychology, Anxiety psychology, Anxiety epidemiology, Depression psychology, Depression epidemiology, Social Support
- Abstract
Background: Social isolation and social connectedness are health determinants and aspects of social well-being with strong associations with psychological distress. This study evaluated relationships among social isolation, social connectedness, and psychological distress (i.e., depression, anxiety) over 1 year in young adult (YA) cancer survivors 18-39 years old., Methods: Participants were YAs in a large cohort study that completed questionnaires every 2 months for 1 year. Social isolation, aspects of social connectedness (i.e., companionship, emotional support, instrumental support, and informational support), depression, and anxiety were assessed with Patient-Reported Outcomes Measurement Information System short form measures. Mixed-effect models were used to evaluate changes over time. Confirmatory factor analysis and multilevel structural equation modeling were used to define social connectedness as a latent construct and determine whether relationships between social isolation and psychological distress were mediated by social connectedness., Results: Participants (N = 304) were mean (M) = 33.5 years old (SD = 4.7) and M = 4.5 years (SD = 3.5) post-initial cancer diagnosis. Most participants were female (67.4%) and non-Hispanic White (68.4%). Average scores for social well-being and psychological distress were within normative ranges and did not change (p values >.05). However, large proportions of participants reported at least mild social isolation (27%-30%), depressive symptoms (36%-37%), and symptoms of anxiety (49%-51%) at each time point. Across participants, more social isolation was related to less social connectedness (p values <.001), more depressive symptoms (p < .001), and more symptoms of anxiety (p < .001). Social connectedness mediated the relationship between social isolation and depression (p = .004), but not anxiety (p > .05)., Conclusions: Social isolation and connectedness could be intervention targets for reducing depression among YA cancer survivors., (© 2024 American Cancer Society.)
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- 2024
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14. Associations Between Dietary Patterns and Quality of Life in a Longitudinal Cohort of Colorectal Cancer Survivors.
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Smith KS, Gudenkauf LM, Hoogland AI, Li X, Hoobler R, Playdon MC, Gigic B, Small BJ, Gonzalez BD, Oswald LB, Byrd DA, Greathouse KL, Ulrich CM, Li CI, Shibata D, Toriola AT, Peoples AR, Siegel EM, Figueiredo JC, Jim HSL, and Crowder SL
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- Humans, Female, Male, Middle Aged, Aged, Longitudinal Studies, Prospective Studies, Adult, Cross-Sectional Studies, Feeding Behavior psychology, United States epidemiology, Quality of Life, Colorectal Neoplasms psychology, Cancer Survivors psychology, Cancer Survivors statistics & numerical data, Diet
- Abstract
Purpose: To characterize dietary patterns and examine associations with cross-sectional and longitudinal changes in quality of life (QOL) over approximately one year after colorectal cancer (CRC) diagnosis., Methods: The ColoCare Study is an international, multi-center, prospective cohort study of newly diagnosed CRC survivors of any stage. A subset of participants with CRC in the United States completed patient-reported outcome measures at 6- and 12-months post-enrollment, including the Food Frequency Questionnaire (FFQ) and European Organization for the Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30). Dietary patterns at 6 months (around the time of treatment completion) were identified using Principal Component Analysis (PCA) with varimax rotation. Adherence scores were calculated for participants within each dietary pattern, with higher scores indicating higher adherence. Mixed models were used to examine the effect of each dietary pattern on changes in QOL at 6- and 12-month follow-ups, controlling for cancer stage, biological sex, body mass index (BMI), smoking status, and age., Results: Participants (N = 174) were, on average, 56 ± 14 years old and were mostly female (51.5%), stage III or IV (51.7%), never smokers (60.2%), non-Hispanic (97.1%), and White (83.3%) with a BMI of 27.9 ± 6.1 kg/m
2 . PCA revealed two emerging dietary patterns: "Western diet", characterized by processed meats, refined grains, and sugars, and "Prudent diet" characterized by lean proteins, fruits, and vegetables. Higher adherence to a Western diet was associated with worse social functioning at 6-month follow-up (FE = -12.6, p = 0.010). Loss of appetite from 6 to 12 months was associated with higher adherence to both the Western and Prudent dietary patterns (FE = 1.5, p = 0.044; FE = 1.3, p = 0.046, respectively). Neither dietary pattern was associated with global QOL score at 6- or 12-month follow-up ( p 's > 0.05)., Conclusions: Among CRC survivors in the United States, the Western diet was concurrently associated with worse social functioning. Loss of appetite was reported by CRC survivors following both dietary patterns, suggesting that loss of appetite may be a global experience for CRC survivors during this timeframe. Further research is needed to understand specific social challenges experienced by CRC survivors and develop supportive care interventions to address appetite and nutritional concerns.- Published
- 2024
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15. Fusobacterium nucleatum Abundance is Associated with Cachexia in Colorectal Cancer Patients: The ColoCare Study.
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Ilozumba MN, Lin T, Hardikar S, Byrd DA, Round JL, Stephens WZ, Holowatyj AN, Warby CA, Damerell V, Li CI, Figueiredo JC, Toriola AT, Shibata D, Fillmore GC, Pickron B, Siegel EM, Kahlert C, Florou V, Gigic B, Ose J, and Ulrich CM
- Subjects
- Humans, Male, Female, Aged, Middle Aged, Fusobacterium Infections complications, Fusobacterium Infections microbiology, Neoplasm Staging, Risk Factors, Colorectal Neoplasms complications, Colorectal Neoplasms microbiology, Cachexia etiology, Cachexia microbiology, Fusobacterium nucleatum isolation & purification, Feces microbiology
- Abstract
Background: Cachexia accounts for about 20% of all cancer-related deaths and indicates poor prognosis. The impact of Fusobacterium nucleatum (Fn), a microbial risk factor for colorectal cancer (CRC), on the development of cachexia in CRC has not been established., Methods: We evaluated the association between Fn abundance in pre-surgical stool samples and onset of cachexia at 6 months post-surgery in n = 87 patients with stages I-III CRC in the ColoCare Study., Results: High fecal Fn abundance compared to negative/low fecal Fn abundance was associated with 4-fold increased risk of cachexia onset at 6 months post-surgery (OR = 4.82, 95% CI = 1.15, 20.10, p = 0.03)., Conclusion: Our findings suggest that high fecal Fn abundance was associated with an increased risk of cachexia at 6 months post-surgery in CRC patients. This is the first study to link Fn abundance with cachexia in CRC patients, offering novel insights into biological mechanisms and potential management of cancer cachexia. Due to the small sample size, our results should be interpreted with caution. Future studies with larger sample sizes are needed to validate these findings., (© 2024 The Author(s). Cancer Medicine published by John Wiley & Sons Ltd.)
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- 2024
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16. Age-related differences in employment, insurance, and financial hardship among colorectal cancer patients: a report from the ColoCare Study.
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Berghuijs KMVT, Kaddas HK, Trujillo G, Rouhani G, Chevrier A, Ose J, Shibata D, Toriola AT, Figueiredo JC, Peoples AR, Li CI, Hardikar S, Siegel EM, Gigic B, Schneider M, Ulrich CM, and Kirchhoff AC
- Subjects
- Humans, Middle Aged, Male, Female, Adult, Cross-Sectional Studies, Aged, Age Factors, Young Adult, Adolescent, Cancer Survivors psychology, Insurance, Health, Insurance Coverage, Colorectal Neoplasms economics, Colorectal Neoplasms psychology, Colorectal Neoplasms therapy, Employment, Financial Stress epidemiology
- Abstract
Purpose: Employment and financial hardships are common issues for working-age colorectal cancer patients. We surveyed colorectal cancer survivors to investigate employment, insurance, and financial outcomes by age at diagnosis., Methods: Cross-sectional survey of six ColoCare Study sites regarding employment, insurance, and financial hardship outcomes. Eligible participants were 1 to 5 years from colorectal cancer diagnosis. Diagnosis age (18-49, 50-64, 65+ years) with outcomes of interest were compared using chi-square and t-tests. Multivariable logistic and Poisson regressions were fit to examine association of demographic factors with any material/psychological hardship (yes/no) and the count of hardships., Results: N = 202 participants completed the survey (age: 18-49 (n = 42, 20.8%), 50-64 (n = 79, 39.1%), 65+ (n = 81, 40.1%)). Most diagnosed age < 65 worked at diagnosis (18-49: 83%; 50-64: 64%; 65+ : 14%, p < 0.001) and continued working after diagnosis (18-49: 76%; 50-64: 59%; 65+ : 13%; p < 0.001). Participants age 18-49 reported cancer-related difficulties with mental (81.3%) and physical (89%) tasks at work more than those working in the older age groups (45%-61%). In regression models, among those reporting any hardship, the rates of material and psychological hardships were higher among those age 18-64 (Incidence Rate Ratios (IRR) range 1.5-2.3 vs. age 65+) and for those with < college (IRR range 1.3-1.6 vs. college +)., Conclusions: Younger colorectal cancer patients are more likely to work after a cancer diagnosis and during cancer treatment, but report higher levels of financial hardship than older patients., Implications for Cancer Survivors: Younger colorectal cancer patients may encounter financial hardship, thus may feel a need to work during and after treatment., (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
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- 2024
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17. Risk factors and health behaviors associated with loneliness among cancer survivors during the COVID-19 pandemic.
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Aßmann ES, Ose J, Hathaway CA, Oswald LB, Hardikar S, Himbert C, Chellam V, Lin T, Daniels B, Kirchhoff AC, Gigic B, Grossman D, Tward J, Varghese TK Jr, Shibata D, Figueiredo JC, Toriola AT, Beck A, Scaife C, Barnes CA, Matsen C, Ma DS, Colman H, Hunt JP, Jones KB, Lee CJ, Larson M, Onega T, Akerley WL, Li CI, Grady WM, Schneider M, Dinkel A, Islam JY, Gonzalez BD, Otto AK, Penedo FJ, Siegel EM, Tworoger SS, Ulrich CM, and Peoples AR
- Subjects
- Humans, Female, Loneliness psychology, Pandemics, Risk Factors, Health Behavior, COVID-19, Cancer Survivors, Neoplasms
- Abstract
Loneliness may exacerbate poor health outcomes particularly among cancer survivors during the COVID-19 pandemic. Little is known about the risk factors of loneliness among cancer survivors. We evaluated the risk factors of loneliness in the context of COVID-19 pandemic-related prevention behaviors and lifestyle/psychosocial factors among cancer survivors. Cancer survivors (n = 1471) seen at Huntsman Cancer Institute completed a survey between August-September 2020 evaluating health behaviors, medical care, and psychosocial factors including loneliness during COVID-19 pandemic. Participants were classified into two groups: 'lonely' (sometimes, usually, or always felt lonely in past month) and 'non-lonely' (never or rarely felt lonely in past month). 33% of cancer survivors reported feeling lonely in the past month. Multivariable logistic regression showed female sex, not living with a spouse/partner, poor health status, COVID-19 pandemic-associated lifestyle factors including increased alcohol consumption and marijuana/CBD oil use, and psychosocial stressors such as disruptions in daily life, less social interaction, and higher perceived stress and financial stress were associated with feeling lonely as compared to being non-lonely (all p < 0.05). A significant proportion of participants reported loneliness, which is a serious health risk among vulnerable populations, particularly cancer survivors. Modifiable risk factors such as unhealthy lifestyle behaviors and psychosocial stress were associated with loneliness. These results highlight the need to screen for unhealthy lifestyle factors and psychosocial stressors to identify cancer survivors at increased risk of loneliness and to develop effective management strategies., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
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- 2024
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18. Functional quality of life among newly diagnosed young adult colorectal cancer survivors compared to older adults: results from the ColoCare Study.
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Oswald LB, Bloomer A, Li X, Jean-Baptiste E, Trujillo G, Felder S, Small BJ, Ose J, Hardikar S, Strehli I, Huang LC, Mooney K, Mutch MG, Chao D, Cohen SA, Karchi M, Wood EH, Damerell V, Loroña NC, Gong J, Toriola AT, Li CI, Shibata D, Schneider M, Gigic B, Figueiredo JC, Jim HSL, Ulrich CM, and Siegel EM
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- Aged, Humans, Young Adult, Emotions, Quality of Life psychology, Survivors psychology, Adolescent, Adult, Middle Aged, Cancer Survivors psychology, Colorectal Neoplasms therapy, Colorectal Neoplasms psychology
- Abstract
Purpose: Colorectal cancer (CRC) incidence and mortality are increasing among young adults (YAs) aged 18-39. This study compared quality of life (QOL) between YA and older adult CRC survivors in the ColoCare Study., Methods: Participants were grouped by age (years) as follows: 18-39 (YA), 40-49, 50-64, and 65 + . Functional QOL (physical, social, role, emotional, cognitive) and global QOL were assessed with the EORTC-QLQ-C30 at enrollment, 3, 6, and 12 months. Average scores were compared between groups over time using longitudinal mixed-effect modeling. Proportions with clinically meaningful QOL impairment were calculated using age-relevant thresholds and compared between groups over time using logistic regression with mixed effects., Results: Participants (N = 1590) were n = 81 YAs, n = 196 aged 40-49, n = 627 aged 50-64, and n = 686 aged 65 + . Average physical function was better among YAs than participants aged 50-64 (p = 0.010) and 65 + (p < 0.001), and average social function was worse among YAs than aged 65 + (p = 0.046). Relative to YAs, all age groups were less likely to report clinically meaningful social dysfunction (aged 40-49 OR = 0.13, 95%CI = 0.06-0.29; aged 50-64 OR = 0.10, 95%CI = 0.05-0.21; aged 65 + OR = 0.07, 95%CI = 0.04-0.15) and role dysfunction (aged 40-49 OR = 0.36, 95%CI = 0.18-0.75; aged 50-64 OR = 0.41, 95%CI = 0.22-0.78; aged 65 + OR = 0.32, 95%CI = 0.17-0.61). Participants aged 40-49 were also less likely to report physical dysfunction (OR = 0.42, 95%CI = 0.19-0.93)., Conclusion: YA CRC survivors reported better physical and worse social function compared to older CRC survivors, and YA CRC survivors were more likely to report clinically meaningful social, role, and physical disfunction. Future work should further investigate QOL using age-relevant benchmarks to inform best practices for CRC survivorship care., Trial Registration: NCT02328677, registered December 2014., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
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- 2024
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19. Genomic Classification and Individualized Prognosis in Multiple Myeloma.
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Maura F, Rajanna AR, Ziccheddu B, Poos AM, Derkach A, Maclachlan K, Durante M, Diamond B, Papadimitriou M, Davies F, Boyle EM, Walker B, Hultcrantz M, Silva A, Hampton O, Teer JK, Siegel EM, Bolli N, Jackson GH, Kaiser M, Pawlyn C, Cook G, Kazandjian D, Stein C, Chesi M, Bergsagel L, Mai EK, Goldschmidt H, Weisel KC, Fenk R, Raab MS, Van Rhee F, Usmani S, Shain KH, Weinhold N, Morgan G, and Landgren O
- Subjects
- Humans, Prognosis, Melphalan, Genomics, Transplantation, Autologous, Retrospective Studies, Multiple Myeloma genetics, Multiple Myeloma therapy, Multiple Myeloma diagnosis, Hematopoietic Stem Cell Transplantation adverse effects
- Abstract
Purpose: Outcomes for patients with newly diagnosed multiple myeloma (NDMM) are heterogenous, with overall survival (OS) ranging from months to over 10 years., Methods: To decipher and predict the molecular and clinical heterogeneity of NDMM, we assembled a series of 1,933 patients with available clinical, genomic, and therapeutic data., Results: Leveraging a comprehensive catalog of genomic drivers, we identified 12 groups, expanding on previous gene expression-based molecular classifications. To build a model predicting individualized risk in NDMM (IRMMa), we integrated clinical, genomic, and treatment variables. To correct for time-dependent variables, including high-dose melphalan followed by autologous stem-cell transplantation (HDM-ASCT), and maintenance therapy, a multi-state model was designed. The IRMMa model accuracy was significantly higher than all comparator prognostic models, with a c-index for OS of 0.726, compared with International Staging System (ISS; 0.61), revised-ISS (0.572), and R2-ISS (0.625). Integral to model accuracy was 20 genomic features, including 1q21 gain/amp, del 1p, TP53 loss, NSD2 translocations, APOBEC mutational signatures, and copy-number signatures (reflecting the complex structural variant chromothripsis). IRMMa accuracy and superiority compared with other prognostic models were validated on 256 patients enrolled in the GMMG-HD6 (ClinicalTrials.gov identifier: NCT02495922) clinical trial. Individualized patient risks were significantly affected across the 12 genomic groups by different treatment strategies (ie, treatment variance), which was used to identify patients for whom HDM-ASCT is particularly effective versus patients for whom the impact is limited., Conclusion: Integrating clinical, demographic, genomic, and therapeutic data, to our knowledge, we have developed the first individualized risk-prediction model enabling personally tailored therapeutic decisions for patients with NDMM.
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- 2024
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20. Spectrum of somatic mutational features of colorectal tumors in ancestrally diverse populations.
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Matejcic M, Teer JK, Hoehn HJ, Diaz DB, Shankar K, Gong J, Nguyen NT, Lorona N, Coppola D, Fulmer C, Saglam O, Jiang K, Cress D, Muñoz-Antonia T, Flores I, Gordian E, Oliveras Torres JA, Felder SI, Sanchez JA, Fleming J, Siegel EM, Freedman JA, Dutil J, Stern MC, Fridley BL, Figueiredo JC, and Schmit SL
- Abstract
Ancestrally diverse and admixed populations, including the Hispanic/Latino/a/x/e community, are underrepresented in cancer genetic and genomic studies. Leveraging the Latino Colorectal Cancer Consortium, we analyzed whole exome sequencing data on tumor/normal pairs from 718 individuals with colorectal cancer (128 Latino, 469 non-Latino) to map somatic mutational features by ethnicity and genetic ancestry. Global proportions of African, East Asian, European, and Native American ancestries were estimated using ADMIXTURE. Associations between global genetic ancestry and somatic mutational features across genes were examined using logistic regression. TP53 , APC , and KRAS were the most recurrently mutated genes. Compared to non-Latino individuals, tumors from Latino individuals had fewer KRAS (OR=0.64, 95%CI=0.41-0.97, p=0.037) and PIK3CA mutations (OR=0.55, 95%CI=0.31-0.98, p=0.043). Genetic ancestry was associated with presence of somatic mutations in 39 genes (FDR-adjusted LRT p<0.05). Among these genes, a 10% increase in African ancestry was associated with significantly higher odds of mutation in KNCN (OR=1.34, 95%CI=1.09-1.66, p=5.74×10
-3 ) and TMEM184B (OR=1.53, 95%CI=1.10-2.12, p=0.011). Among RMGs, we found evidence of association between genetic ancestry and mutation status in CDC27 (LRT p=0.0084) and between SMAD2 mutation status and AFR ancestry (OR=1.14, 95%CI=1.00-1.30, p=0.046). Ancestry was not associated with tumor mutational burden. Individuals with above-average Native American ancestry had a lower frequency of microsatellite instable (MSI-H) vs microsatellite stable tumors (OR=0.45, 95%CI=0.21-0.99, p=0.048). Our findings provide new knowledge about the relationship between ancestral haplotypes and somatic mutational profiles that may be useful in developing precision medicine approaches and provide additional insight into genomic contributions to cancer disparities., Significance: Our data in ancestrally diverse populations adds essential information to characterize mutational features in the colorectal cancer genome. These results will help enhance equity in the development of precision medicine strategies.- Published
- 2024
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21. Relationships Among Physical Activity, Sleep, and Cancer-related Fatigue: Results From the International ColoCare Study.
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Crowder SL, Li X, Himbert C, Viskochil R, Hoogland AI, Gudenkauf LM, Oswald LB, Gonzalez BD, Small BJ, Ulrich CM, Ose J, Peoples AR, Li CI, Shibata D, Toriola AT, Gigic B, Playdon MC, Hardikar S, Bower J, Siegel EM, Figueiredo JC, and Jim HSL
- Subjects
- Aged, Female, Humans, Male, Middle Aged, Cross-Sectional Studies, Exercise, Fatigue complications, Quality of Life, Sleep, Colorectal Neoplasms complications, Sleep Wake Disorders complications
- Abstract
Background: Risk factors for cancer-related fatigue are understudied in colorectal cancer., Purpose: This study aimed to address this critical gap in the literature by (a) describing changes in colorectal cancer-related fatigue and health behavior (physical activity, sleep problems) and (b) examining if physical activity and sleep problems predict fatigue trajectories from baseline (approximately at the time of diagnosis), to 6- and 12 months after enrollment., Methods: Patients participating in the international ColoCare Study completed self-report measures at baseline (approximately time of diagnosis), 6-, and 12 months assessing physical activity using the International Physical Activity Questionnaire (IPAQ) and fatigue and sleep using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC-QLQ-C30). Mixed-effect models examined changes in physical activity, sleep problems, and fatigue. Cross-lagged panel models examined bidirectional relationships between physical activity or sleep and fatigue across time., Results: Colorectal cancer patients (n = 649) had a mean age of 61 ± 13 years. Most were male (59%), non-Hispanic White (91%), diagnosed with Stages III-IV (56%) colon cancer (58%), and treated with surgery (98%). Within-person cross-lagged models indicated higher physical activity at Month 6 was associated with higher fatigue at Month 12 (β = 0.26, p = .016). When stratified by cancer stage (I-II vs. III-IV), the relationship between physical activity at Month 6 and fatigue at Month 12 existed only for patients with advanced cancer (Stages III and IV, β = 0.43, p = .035). Cross-lagged associations for sleep and fatigue from baseline to Month 6 were only observed in patients with Stages III or IV cancer, however, there was a clear cross-sectional association between sleep problems and fatigue at baseline and Month 6., Conclusions: Within-person and cross-lagged association models suggest fatiguability may become increasingly problematic for patients with advanced colorectal cancer the first year after diagnosis. In addition, sleep problems were consistently associated with higher fatigue in the first year, regardless of cancer stage., Trial Registration: The international ColoCare Study was registered on clinicaltrials.gov, NCT02328677, in December 2014., (© Society of Behavioral Medicine 2023. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
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- 2024
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22. Trajectories and risk factors of fatigue following colorectal cancer diagnosis.
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Li X, Hoogland AI, Small BJ, Crowder SL, Gonzalez BD, Oswald LB, Sleight AG, Nguyen N, Lorona NC, Damerell V, Komrokji KR, Mooney K, Playdon MC, Ulrich CM, Li CI, Shibata D, Toriola AT, Ose J, Peoples AR, Siegel EM, Bower JE, Schneider M, Gigic B, Figueiredo JC, and Jim HSL
- Subjects
- Male, Humans, Middle Aged, Aged, Female, Fatigue etiology, Fatigue epidemiology, Risk Factors, Germany epidemiology, Surveys and Questionnaires, Quality of Life, Colorectal Neoplasms complications, Colorectal Neoplasms diagnosis
- Abstract
Aim: This study sought to identify groups of colorectal cancer patients based upon trajectories of fatigue and examine how demographic, clinical and behavioural risk factors differentiate these groups., Method: Patients were from six cancer centres in the United States and Germany. Fatigue was measured using the fatigue subscale of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) at five time points (baseline/enrolment and 3, 6, 12 and 24 months after diagnosis). Piecewise growth mixture models identified latent trajectories of fatigue. Logistic regression models examined differences in demographic, clinical and behavioural characteristics between fatigue trajectory groups., Results: Among 1615 participants (57% men, 86% non-Hispanic White, mean age 61 ± 13 years at diagnosis), three distinct groups were identified. In the high fatigue group (36%), fatigue significantly increased in the first 6 months after diagnosis and then showed statistically and clinically significant improvement from 6 to 24 months (P values < 0.01). Throughout the study period, average fatigue met or exceeded cutoffs for clinical significance. In the moderate (34%) and low (30%) fatigue groups, fatigue levels remained below or near population norms across the study period. Patients who were diagnosed with Stage II-IV disease and/or current smokers were more likely to be in the high fatigue than in the moderate fatigue group (P values < 0.05)., Conclusion: A large proportion of colorectal cancer patients experienced sustained fatigue after initiation of cancer treatment. Patients with high fatigue at the time of diagnosis may benefit from early supportive care., (© 2023 Association of Coloproctology of Great Britain and Ireland.)
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- 2023
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23. Elevated EVL Methylation Level in the Normal Colon Mucosa Is a Potential Risk Biomarker for Developing Recurrent Adenomas.
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Yu M, Carter KT, Baker KK, Redman MW, Wang T, Vickers K, Li CI, Cohen SA, Krane M, Ose J, Gigic B, Figueiredo JC, Toriola AT, Siegel EM, Shibata D, Schneider M, Ulrich CM, Dzubinski LA, Schoen RE, and Grady WM
- Subjects
- Humans, Colonoscopy, Intestinal Mucosa pathology, Methylation, Adenoma epidemiology, Colonic Polyps epidemiology, Colorectal Neoplasms epidemiology
- Abstract
Background: Individuals with adenomatous colorectal polyps undergo repeated colonoscopy surveillance to identify and remove metachronous adenomas. However, many patients with adenomas do not develop recurrent adenomas. Better methods to evaluate who benefits from increased surveillance are needed. We evaluated the use of altered EVL methylation as a potential biomarker for risk of recurrent adenomas., Methods: Patients with ≥1 colonoscopy had EVL methylation (mEVL) measured with an ultra-accurate methylation-specific droplet digital PCR assay on normal colon mucosa. The association between EVL methylation levels and adenoma or colorectal cancer was evaluated using three case/control definitions in three models: unadjusted (model 1), adjusting for baseline characteristics (model 2), and an adjusted model excluding patients with colorectal cancer at baseline (model 3)., Results: Between 2001 and 2020, 136 patients were included; 74 healthy patients and 62 patients with a history of colorectal cancer. Older age, never smoking, and baseline colorectal cancer were associated with higher levels of mEVL (P ≤ 0.05). Each log base 10 difference in mEVL was associated with an increased risk of adenoma(s) or cancer at/after baseline for model 1 [OR, 2.64; 95% confidence interval (CI), 1.09-6.36], and adenoma(s) or cancer after baseline for models 1 (OR, 2.01; 95% CI, 1.04-3.90) and model 2 (OR, 3.17; 95% CI, 1.30-7.72)., Conclusions: Our results suggest that EVL methylation level detected in the normal colon mucosa has the potential to be a biomarker for monitoring the risk for recurrent adenomas., Impact: These findings support the potential utility of EVL methylation for improving the accuracy for assigning risk for recurrent colorectal adenomas and cancer., (©2023 American Association for Cancer Research.)
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- 2023
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24. Risk Stratification for Early-onset Colorectal Cancer Screening: Are We Ready for Implementation?
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Siegel EM, Ulrich CM, and Shibata D
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- Male, Humans, Early Detection of Cancer, Risk Factors, Risk Assessment, Veterans, Colorectal Neoplasms diagnosis, Colorectal Neoplasms epidemiology
- Abstract
Early-onset colorectal cancer (EOCRC) is increasing at alarming rates and identifying risk factors is a high priority. There is a need to develop risk stratification approaches for colorectal cancer screening among younger populations. Although there is a growing body of evidence identifying risk factors for EOCRC, including the report by Imperiale and colleagues in this issue, risk stratification for EOCRC screening has not been implemented into practice. This publication highlights how essential it is to bring research findings into practice and bridge the gaps between developing risk prediction modeling in epidemiology and implementation science. While encouraging, we are still a long way off from having a clinically applicable risk prediction tool. See related article by Imperiale et al., p. 513., (©2023 American Association for Cancer Research.)
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- 2023
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25. Metabolic Dysregulation Explains the Diverse Impacts of Obesity in Males and Females with Gastrointestinal Cancers.
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Rosario SR, Dong B, Zhang Y, Hsiao HH, Isenhart E, Wang J, Siegel EM, Monjazeb AM, Owen DH, Dey P, Tabung FK, Spakowicz DJ, Murphy WJ, Edge S, Yendamuri S, Ibrahimi S, Kolesar JM, McDonald PH, Vadehra D, Churchman M, Liu S, Kalinski P, and Mukherjee S
- Subjects
- Male, Female, Humans, Kynurenine, Tryptophan, Leukocytes, Mononuclear, Obesity genetics, Gastrointestinal Neoplasms genetics, Adenocarcinoma
- Abstract
The prevalence of obesity, defined as the body mass index (BMI) ≥ 30 kg/m
2 , has reached epidemic levels. Obesity is associated with an increased risk of various cancers, including gastrointestinal ones. Recent evidence has suggested that obesity disproportionately impacts males and females with cancer, resulting in varied transcriptional and metabolic dysregulation. This study aimed to elucidate the differences in the metabolic milieu of adenocarcinomas of the gastrointestinal (GI) tract both related and unrelated to sex in obesity. To demonstrate these obesity and sex-related effects, we utilized three primary data sources: serum metabolomics from obese and non-obese patients assessed via the Biocrates MxP Quant 500 mass spectrometry-based kit, the ORIEN tumor RNA-sequencing data for all adenocarcinoma cases to assess the impacts of obesity, and publicly available TCGA transcriptional analysis to assess GI cancers and sex-related differences in GI cancers specifically. We applied and integrated our unique transcriptional metabolic pipeline in combination with our metabolomics data to reveal how obesity and sex can dictate differential metabolism in patients. Differentially expressed genes (DEG) analysis of ORIEN obese adenocarcinoma as compared to normal-weight adenocarcinoma patients resulted in large-scale transcriptional reprogramming (4029 DEGs, adj. p < 0.05 and |logFC| > 0.58). Gene Set Enrichment and metabolic pipeline analysis showed genes enriched for pathways relating to immunity (inflammation, and CD40 signaling, among others) and metabolism. Specifically, we found alterations to steroid metabolism and tryptophan/kynurenine metabolism in obese patients, both of which are highly associated with disease severity and immune cell dysfunction. These findings were further confirmed using the TCGA colorectal adenocarcinoma (CRC) and esophageal adenocarcinoma (ESCA) data, which showed similar patterns of increased tryptophan catabolism for kynurenine production in obese patients. These patients further showed disparate alterations between males and females when comparing obese to non-obese patient populations. Alterations to immune and metabolic pathways were validated in six patients (two obese and four normal weight) via CD8+/CD4+ peripheral blood mononuclear cell RNA-sequencing and paired serum metabolomics, which showed differential kynurenine and lipid metabolism, which corresponded with altered T-cell transcriptome in obese populations. Overall, obesity is associated with differential transcriptional and metabolic programs in various disease sites. Further, these alterations, such as kynurenine and tryptophan metabolism, which impact both metabolism and immune phenotype, vary with sex and obesity together. This study warrants further in-depth investigation into obesity and sex-related alterations in cancers that may better define biomarkers of response to immunotherapy.- Published
- 2023
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26. Whole-Exome sequencing analysis identified TMSB10/TRABD2A locus to be associated with carfilzomib-related cardiotoxicity among patients with multiple myeloma.
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Tantawy M, Yang G, Algubelli RR, DeAvila G, Rubinstein SM, Cornell RF, Fradley MG, Siegel EM, Hampton OA, Silva AS, Lenihan D, Shain KH, Baz RC, and Gong Y
- Abstract
Background: Proteasome inhibitor Carfilzomib (CFZ) is effective in treating patients with refractory or relapsed multiple myeloma (MM) but has been associated with cardiovascular adverse events (CVAE) such as hypertension, cardiomyopathy, and heart failure. This study aimed to investigate the contribution of germline genetic variants in protein-coding genes in CFZ-CVAE among MM patients using whole-exome sequencing (WES) analysis., Methods: Exome-wide single-variant association analysis, gene-based analysis, and rare variant analyses were performed on 603,920 variants in 247 patients with MM who have been treated with CFZ and enrolled in the Oncology Research Information Exchange Network (ORIEN) at the Moffitt Cancer Center. Separate analyses were performed in European Americans and African Americans followed by a trans-ethnic meta-analysis., Results: The most significant variant in the exome-wide single variant analysis was a missense variant rs7148 in the thymosin beta-10/TraB Domain Containing 2A ( TMSB10/TRABD2A ) locus. The effect allele of rs7148 was associated with a higher risk of CVAE [odds ratio (OR) = 9.3 with a 95% confidence interval of 3.9-22.3, p = 5.42*10
-7 ]. MM patients with rs7148 AG or AA genotype had a higher risk of CVAE (50%) than those with GG genotype (10%). rs7148 is an expression quantitative trait locus (eQTL) for TRABD2A and TMSB10 . The gene-based analysis also showed TRABD2A as the most significant gene associated with CFZ-CVAE ( p = 1.06*10-6 )., Conclusions: We identified a missense SNP rs7148 in the TMSB10/TRABD2A as associated with CFZ-CVAE in MM patients. More investigation is needed to understand the underlying mechanisms of these associations., Competing Interests: MGF: research funding from Medtronic; Advisory board/consulting fees: Abbott, AstraZeneca, Myovant, Takeda, and Zoll. RCB: research funding from Janssen, Karyopharm, BMS, and Abbvie; Advisory board member for Janssen, Karyopharm, BMS, Shattuck labs, GSK, Pfizer, and Abbvie. RFC: Employed at AbbVie and stock shareholder. SMR: Advisory board member for Janssen, Sanofi, Roche Diagnostics, and EUSA pharma. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (© 2023 Tantawy, Yang, Algubelli, DeAvila, Rubinstein, Cornell, Fradley, Siegel, Hampton, Silva, Lenihan, Shain, Baz and Gong.)- Published
- 2023
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27. Associations of combined physical activity and body mass index groups with colorectal cancer survival outcomes.
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Himbert C, Ose J, Gigic B, Viskochil R, Santuci K, Lin T, Ashworth A, Cohan JN, Scaife CL, Jedrzkiewicz J, Damerell V, Atkins KM, Gong J, Mutch MG, Bernadt C, Felder S, Sanchez J, Cohen SA, Krane MK, Hinkle N, Wood E, Peoples AR, Figueiredo JC, Toriola AT, Siegel EM, Li CI, Shibata D, Boucher K, Round JL, Ulrich AB, Schneider M, Huang LC, Hardikar S, and Ulrich CM
- Subjects
- Humans, Body Mass Index, Overweight complications, Overweight epidemiology, Exercise, Risk Factors, Obesity complications, Colorectal Neoplasms
- Abstract
Background: Physical activity and BMI have been individually associated with cancer survivorship but have not yet been studied in combinations in colorectal cancer patients. Here, we investigate individual and combined associations of physical activity and BMI groups with colorectal cancer survival outcomes., Methods: Self-reported physical activity levels (MET hrs/wk) were assessed using an adapted version of the International Physical Activity Questionnaire (IPAQ) at baseline in 931 patients with stage I-III colorectal cancer and classified into 'highly active' and'not-highly active'(≥ / < 18 MET hrs/wk). BMI (kg/m
2 ) was categorized into 'normal weight', 'overweight', and 'obese'. Patients were further classified into combined physical activity and BMI groups. Cox-proportional hazard models with Firth correction were computed to assess associations [hazard ratio (HR), 95% profile HR likelihood confidence interval (95% CI) between individual and combined physical activity and BMI groups with overall and disease-free survival in colorectal cancer patients., Results: 'Not-highly active' compared to 'highly active' and 'overweight'/ 'obese' compared to 'normal weight' patients had a 40-50% increased risk of death or recurrence (HR: 1.41 (95% CI: 0.99-2.06), p = 0.03; HR: 1.49 (95% CI: 1.02-2.21) and HR: 1.51 (95% CI: 1.02-2.26), p = 0.04, respectively). 'Not-highly active' patients had worse disease-free survival outcomes, regardless of their BMI, compared to 'highly active/normal weight' patients. 'Not-highly active/obese' patients had a 3.66 times increased risk of death or recurrence compared to 'highly active/normal weight' patients (HR: 4.66 (95% CI: 1.75-9.10), p = 0.002). Lower activity thresholds yielded smaller effect sizes., Conclusion: Physical activity and BMI were individually associated with disease-free survival among colorectal cancer patients. Physical activity seems to improve survival outcomes in patients regardless of their BMI., (© 2023. The Author(s).)- Published
- 2023
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28. Pre-Surgery Inflammatory and Angiogenesis Biomarkers as Predictors of 12-Month Cancer-Related Distress: Results from the ColoCare Study.
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Lindley CL, Gigic B, Peoples AR, Han CJ, Lin T, Himbert C, Warby CA, Boehm J, Hardikar S, Ashworth A, Schneider M, Ulrich A, Schrotz-King P, Figueiredo JC, Li CI, Shibata D, Siegel EM, Toriola AT, Ulrich CM, Syrjala KL, and Ose J
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- Humans, Quality of Life psychology, Interleukin-6, Vascular Endothelial Growth Factor A, Biomarkers, Inflammation, Vascular Endothelial Growth Factor D, Colorectal Neoplasms pathology
- Abstract
Background: Patients with colorectal cancer commonly suffer from complex psychological distress. Elevated distress may be linked to systemic biomarkers. We investigated associations of biomarkers of inflammation and angiogenesis with cancer-related distress (CTXD) score., Methods: N = 315 patients (stage I-IV) from 2 centers of the ColoCare Study were included: Huntsman Cancer Institute and University of Heidelberg. Biomarkers (e.g., IL6, VEGF-A, VEGF-D) were measured in serum collected pre-surgery and 12 months thereafter. The CTXD overall score and 4 subscales were collected 12 months after surgery and dichotomized to investigate biomarkers as predictors of distress 12 months after surgery; adjusted for age, sex, body mass index, tumor stage, center, and baseline levels of biomarkers., Results: Doubling of IL6 predicted future increased risk of overall distress [odds ratio (OR), 1.20; 95% confidence interval (CI), 1.02-1.41; P = 0.03]. VEGF-A-predicted future increased risk of high family strain (VEGF-A: OR, 1.21; 95% CI, 1.01-1.44; P = 0.04) and VEGF-D was associated with medical and financial demands (OR, 1.34; 95% CI, 1.01-1.74; P = 0.03)., Conclusions: This is the first study to show that systemic biomarkers are significantly associated with future CTXD score. Distress was not measured at baseline; we cannot rule out ongoing associations of inflammation and distress throughout treatment versus a direct effect of inflammation on distress. Nonetheless, these data add to evidence that biobehavioral processes interact and that systemic biomarkers are associated with cancer-related distress one year after surgery., Impact: Exercise and diet interventions that lower systemic cytokine levels may impact longer-term CTXD score and improve quality of life of patients with colorectal cancer., (©2023 American Association for Cancer Research.)
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- 2023
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29. Low muscle mass is associated with a higher risk of all-cause and cardiovascular disease-specific mortality in cancer survivors.
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Zhang D, Spiropoulos KA, Wijayabahu A, Christou DD, Karanth SD, Anton SD, Leeuwenburgh C, Liang M, Wheeler M, Yang D, Livingstone AP, Mankowski RT, Cheng TD, Zhang H, Siegel EM, Penedo FJ, Licht JD, and Braithwaite D
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- Male, Adult, Humans, Female, Nutrition Surveys, Prognosis, Muscles, Risk Factors, Cardiovascular Diseases diagnosis, Cancer Survivors, Neoplasms complications
- Abstract
Objectives: Individuals with prior cancer diagnosis are more likely to have low muscle mass (LMM) than their cancer-free counterparts. Understanding the effects of LMM on the prognosis of cancer survivors can be clinically important. The aim of this study was to investigate whether risks for all-cause and cardiovascular disease (CVD)-specific mortality differ by status of LMM in cancer survivors and a matched cohort without cancer history., Methods: We used cohort data from the 1999-2006 and 2011-2014 National Health and Nutrition Examination Survey. Participants included 946 adults surviving for ≥1 since cancer diagnosis and a matched cohort (by age, sex, and race) without cancer history (N = 1857). LMM was defined by appendicular lean mass and body height (men <7.26 kg/m
2 , women <5.45 kg/m2 ). Death was ascertained via the National Death Index and cause of death was assessed via International Classification of Diseases, Tenth Revision. Multivariable Cox proportional hazards models were used to estimate adjusted hazard ratio (aHR) and 95% confidence interval (CI) of LMM., Results: The mean age of cancer survivors and matched cohort was 60.6 y (SD 15) and 60.2 y (SD 14.9), respectively. The median follow-up was 10.5 y for survivors and 10.9 y for matched cohort. Overall, 22.2% of cancer survivors and 19.7% of the matched cohort had LMM, respectively. In all, 321 survivors (33.9%) and 495 participants (26.7%) in the matched cohort died during follow-up. CVD-specific deaths were identified in 58 survivors (6.1%) and 122 participants in the matched cohort (6.6%). The multivariable Cox model suggested that LMM was positively associated with all-cause (aHR, 1.73; 95% CI, 1.31-2.29) and CVD-specific (aHR, 2.13; 95% CI, 1.14-4.00) mortality in cancer survivors. The associations between LMM and risk for all-cause (aHR, 1.24; 95% CI, 0.98-1.56) and CVD-specific (aHR, 1.21; 95% CI, 0.75-1.93) mortality were not statistically significant in the matched cohort., Conclusion: Cancer survivors with LMM have an increased risk for all-cause and CVD-specific mortality. This increase appears to be larger than that in counterparts without cancer history., (Copyright © 2022 Elsevier Inc. All rights reserved.)- Published
- 2023
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30. Detectable Lipidomes and Metabolomes by Different Plasma Exosome Isolation Methods in Healthy Controls and Patients with Advanced Prostate and Lung Cancer.
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Soupir AC, Tian Y, Stewart PA, Nunez-Lopez YO, Manley BJ, Pellini B, Bloomer AM, Zhang J, Mo Q, Marchion DC, Liu M, Koomen JM, Siegel EM, and Wang L
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- Male, Humans, Lipidomics, Prostate metabolism, Metabolome, Lipids analysis, Lectins metabolism, Lung Neoplasms metabolism, Carcinoma, Non-Small-Cell Lung metabolism, Exosomes metabolism, Prostatic Neoplasms, Castration-Resistant metabolism
- Abstract
Circulating exosomes in the blood are promising tools for biomarker discovery in cancer. Due to their heterogeneity, different isolation methods may enrich distinct exosome cargos generating different omic profiles. In this study, we evaluated the effects of plasma exosome isolation methods on detectable multi-omic profiles in patients with non-small cell lung cancer (NSCLC), castration-resistant prostate cancer (CRPC), and healthy controls, and developed an algorithm to quantify exosome enrichment. Plasma exosomes were isolated from CRPC (n = 10), NSCLC (n = 14), and healthy controls (n = 10) using three different methods: size exclusion chromatography (SEC), lectin binding, and T-cell immunoglobulin domain and mucin domain-containing protein 4 (TIM4) binding. Molecular profiles were determined by mass spectrometry of extracted exosome fractions. Enrichment analysis of uniquely detected molecules was performed for each method with MetaboAnalyst. The exosome enrichment index (EEI) scores methods based on top differential molecules between patient groups. The lipidomic analysis detected 949 lipids using exosomes from SEC, followed by 246 from lectin binding and 226 from TIM4 binding. The detectable metabolites showed SEC identifying 191 while lectin binding and TIM4 binding identified 100 and 107, respectively. When comparing uniquely detected molecules, different methods showed preferential enrichment of different sets of molecules with SEC enriching the greatest diversity. Compared to controls, SEC identified 28 lipids showing significant difference in NSCLC, while only 1 metabolite in NSCLC and 5 metabolites in CRPC were considered statistically significant (FDR < 0.1). Neither lectin-binding- nor TIM4-binding-derived exosome lipids or metabolites demonstrated significant differences between patient groups. We observed the highest EEI from SEC in lipids (NSCLC: 871.33) which was also noted in metabolites. These results support that the size exclusion method of exosome extraction implemented by SBI captures more heterogeneous exosome populations. In contrast, lectin-binding and TIM4-binding methods bind surface glycans or phosphatidylserine moieties of the exosomes. Overall, these findings suggest that specific isolation methods select subpopulations which may significantly impact cancer biomarker discovery.
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- 2023
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31. Associations of Individual and Combined Physical Activity and Body Mass Index Groups with Proinflammatory Biomarkers among Colorectal Cancer Patients.
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Himbert C, Warby CA, Gigic B, Ose J, Lin T, Viskochil R, Peoples AR, Ashworth A, Schrotz-King P, Scaife CL, Cohan JN, Jedrzkiewicz J, Schirmacher P, Grady WM, Cohen SA, Krane M, Figueiredo JC, Toriola AT, Siegel EM, Shibata D, Round JL, Huang LC, Li CI, Schneider M, Ulrich A, Hardikar S, and Ulrich CM
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- Humans, Body Mass Index, Tumor Necrosis Factor-alpha, Interleukin-6, Obesity, Exercise, Biomarkers, C-Reactive Protein metabolism, Inflammation, Overweight complications, Colorectal Neoplasms
- Abstract
Background: Physical activity and obesity are well-established factors of colorectal cancer risk and prognosis. Here, we investigate associations of individual and combined physical activity and body mass index (BMI) groups with proinflammatory biomarkers in colorectal cancer patients., Methods: Self-reported physical activity levels were classified as "active" (≥8.75 MET-hours/week) versus "inactive" (<8.75 MET-hours/week) in n = 579 stage I-IV colorectal cancer patients enrolled in the ColoCare Study. BMI [normal weight (≥18.5-<25 kg/m2), overweight (≥25-<30 kg/m2), and obese (≥30 kg/m2)] was abstracted from medical records. Patients were classified into four combinations of physical activity levels and BMI. Biomarkers [C-reactive protein (CRP), SAA, IL6, IL8, and TNFα] in presurgery serum samples were measured using the Mesoscale Discovery Platform. Regression models were used to compute relative percent differences in biomarker levels by physical activity and BMI groups., Results: "Inactive" patients had non-statistically significant higher IL6 levels compared with "active" patients (+36%, P = 0.10). "Obese" patients had 88% and 17% higher CRP and TNFα levels compared with "normal weight" patients (P = 0.03 and 0.02, respectively). Highest CRP levels were observed among "overweight or obese/inactive" compared with "normal weight/active" patients (P = 0.03)., Conclusions: We provide evidence of associations between individual and combined physical activity and BMI groups with proinflammatory biomarkers. Although BMI was identified as the key driver of inflammation, biomarker levels were higher among "inactive" patients across BMI groups., Impact: This is the largest study in colorectal cancer patients investigating associations of energy balance components with inflammatory biomarkers. Our results suggest that physical activity may reduce obesity-induced inflammation in colorectal cancer patients and support the design of randomized controlled trials testing this hypothesis., (©2022 American Association for Cancer Research.)
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- 2022
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32. Individual-level factors associated with COVID-19 vaccine acceptance among U.S. patients with cancer.
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Hathaway CA, Siegel EM, Gonzalez BD, Oswald LB, Peoples AR, Ulrich CM, Penedo FJ, Tworoger SS, and Islam JY
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- Humans, COVID-19 Vaccines therapeutic use, Pandemics prevention & control, Patient Acceptance of Health Care, Cross-Sectional Studies, Vaccination, COVID-19 prevention & control, Neoplasms
- Abstract
Introduction: Vaccine hesitancy in the wake of the COVID-19 pandemic is a major public health concern in the US. Cancer patients are especially vulnerable to adverse COVID-19 outcomes and require targeted prevention efforts against COVID-19., Methods: We used longitudinal survey data from patients seen at Moffitt Cancer Center to identify attitudes, beliefs, and sociodemographic factors associated with COVID-19 vaccination acceptance among cancer patients. Patients with confirmed invasive cancer diagnosis through Cancer Registry data were asked about vaccine acceptance through the question "Now that a COVID-19 vaccine is available, are you likely to get it?" and dichotomized into high accepters (already received it, would get it when available) and low accepters (waiting for a doctor to recommend it, waiting until more people received it, not likely to get it)., Results: Most patients (86.8% of 5,814) were high accepters of the COVID-19 vaccine. High accepters had more confidence in the effectiveness and safety of the vaccine than low accepters. Multivariable logistic regression showed older individuals (70-89 vs.18-49: OR:2.57, 95% CI:1.33-4.86), those with greater perceived severity of COVID-19 infection (very serious vs. not at all serious: OR:2.55, 95% CI:1.76-3.70), practicing more risk mitigation behaviors (per one standard deviation OR:1.75, 95% CI:1.57-1.95), and history of receiving the flu shot versus not (OR:6.56, 95% CI:5.25-8.20) had higher odds of vaccine acceptance. Individuals living with more than one other person (vs. alone: OR: 0.53, 95% CI: 0.35, 0.79) and those who were more socioeconomically disadvantaged (per 10 percentile points: OR: 0.89, 95 %CI: 0.85, 0.93) had lower odds of reporting vaccine acceptance., Conclusion: Most patients with cancer have or would receive the COVID-19 vaccine. Those who are less likely to accept the vaccine have more concerns regarding effectiveness and side effects, are younger, more socioeconomically disadvantaged, and have lower perceptions of COVID-19 severity., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier Ltd. All rights reserved.)
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- 2022
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33. Differences in the gut microbiome by physical activity and BMI among colorectal cancer patients.
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Himbert C, Stephens WZ, Gigic B, Hardikar S, Holowatyj AN, Lin T, Ose J, Swanson E, Ashworth A, Warby CA, Peoples AR, Nix D, Jedrzkiewicz J, Bronner M, Pickron B, Scaife C, Cohan JN, Schrotz-King P, Habermann N, Boehm J, Hullar M, Figueiredo JC, Toriola AT, Siegel EM, Li CI, Ulrich AB, Shibata D, Boucher K, Huang LC, Schneider M, Round JL, and Ulrich CM
- Abstract
Associations of energy balance components, including physical activity and obesity, with colorectal cancer risk and mortality are well established. However, the gut microbiome has not been investigated as underlying mechanism. We investigated associations of physical activity, BMI, and combinations of physical activity/BMI with gut microbiome diversity and differential abundances among colorectal cancer patients. N=179 patients with colorectal cancer (stages I-IV) were included in the study. Pre-surgery stool samples were used to perform 16S rRNA gene sequencing (Illumina). Physical activity (MET hrs/wk) during the year before diagnosis was assessed by questionnaire and participants were classified as being active vs. inactive based on guidelines. BMI at baseline was abstracted from medical records. Patients were classified into four combinations of physical activity levels/BMI. Lower gut microbial diversity was observed among 'inactive' vs. 'active' patients (Shannon: P =0.01, Simpson: P =0.03), 'obese' vs. 'normal weight' patients (Shannon, Simpson, and Observed species: P =0.02, respectively), and 'overweight/obese/inactive' vs. 'normal weight/active' patients (Shannon: P =0.02, Observed species: P =0.04). Results differed by sex and tumor site. Two phyla and 12 genera (Actinobacteria and Fusobacteria, Adlercreutzia, Anaerococcus, Clostridium, Eubacterium, Mogibacteriaceae, Olsenella, Peptinophilus, Pyramidobacter, RFN20, Ruminococcus, Succinivibrio, Succiniclasticum ) were differentially abundant across physical activity and BMI groups. This is the first evidence for associations of physical activity with gut microbiome diversity and abundances, directly among colorectal cancer patients. Our results indicate that physical activity may offset gut microbiome dysbiosis due to obesity. Alterations in gut microbiota may contribute mechanistically to the energy balance-colorectal cancer link and impact clinical outcomes., Competing Interests: None., (AJCR Copyright © 2022.)
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- 2022
34. Impact of the COVID-19 pandemic on rural and urban cancer patients' experiences, health behaviors, and perceptions.
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Peoples AR, Oswald LB, Ose J, Daniels B, Himbert C, Hathaway CA, Gigic B, Kirchhoff AC, Lin T, Grossman D, Tward J, Varghese TK Jr, Figueiredo JC, Toriola AT, Beck A, Scaife C, Shibata D, LaStayo P, Gonzalez B, Salas K, Ashworth A, Matsen C, Christenson C, Ma DS, Colman H, Hunt JP, Jones KB, Lee CJ, Larson M, Onega T, Akerley WL, Li CI, Schneider M, Penedo FJ, Siegel EM, Tworoger SS, and Ulrich CM
- Subjects
- Adult, Female, Health Behavior, Humans, Male, Middle Aged, Pandemics, Urban Population, COVID-19 epidemiology, Hand Sanitizers, Neoplasms epidemiology, Neoplasms therapy
- Abstract
Purpose: The COVID-19 pandemic has disrupted many facets of life. We evaluated pandemic-related health care experiences, COVID-19 prevention behaviors and measures, health behaviors, and psychosocial outcomes among rural and urban cancer patients., Methods: Among 1,472 adult cancer patients, who visited Huntsman Cancer Institute in the past 4 years and completed a COVID-19 survey (August-September 2020), we assessed the impact of the pandemic on medical appointments, prevention/health behaviors, and psychosocial factors, stratified by urbanicity., Findings: Mean age was 61 years, with 52% female, 97% non-Hispanic White, and 27% were residing in rural areas. Rural versus urban patients were more likely to be older, not employed, uninsured, former/current smokers, consume alcohol, and have pandemic-related changes/cancellations in surgery appointments (all P<.05). Changes/cancellations in other health care access (eg, doctor's visits) were also common, particularly among urban patients. Urban versus rural patients were more likely to socially distance, use masks and hand sanitizer, and experience changes in exercise habits and in their daily lives (all P<.05). Less social interaction and financial stress were common among cancer patients but did not differ by urbanicity., Conclusions: These findings suggest that the COVID-19 pandemic had a substantial impact on cancer patients, with several challenges specific to rural patients. This comprehensive study provides unique insights into the first 6 months of COVID-19 pandemic-related experiences and continuity of care among rural and urban cancer patients predominantly from Utah. Further research is needed to better characterize the pandemic's short- and long-term effects on rural and urban cancer patients and appropriate interventions., (© 2022 National Rural Health Association.)
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- 2022
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35. Presurgery Adhesion Molecules and Angiogenesis Biomarkers Are Differently Associated with Outcomes in Colon and Rectal Cancer: Results from the ColoCare Study.
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Ose J, Gigic B, Hardikar S, Lin T, Himbert C, Warby CA, Peoples AR, Lindley CL, Boehm J, Schrotz-King P, Figueiredo JC, Toriola AT, Siegel EM, Li CI, Ulrich A, Schneider M, Shibata D, and Ulrich CM
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- Biomarkers, Colon, Humans, Prognosis, Vascular Endothelial Growth Factor D, Cell Adhesion Molecules, Neovascularization, Pathologic, Rectal Neoplasms diagnosis, Rectal Neoplasms surgery
- Abstract
Background: Cell-to-cell adhesion and angiogenesis are hallmarks of cancer. No studies have examined associations of adhesion molecules and angiogenesis biomarkers with clinical outcomes in colorectal cancer., Methods: In presurgery serum from n = 426 patients with colorectal cancer (stage I-III), we investigated associations of CRP, SAA, adhesion molecules (sICAM-1, sVCAM-1), and angiogenesis markers (VEGF-A and VEGF-D) with overall survival (OS), disease-free survival (DFS), and risk of recurrence. We computed HRs and 95% confidence intervals; adjusted for age, sex, BMI, stage, site, and study site, stratified by tumor site in exploratory analyses., Results: N = 65 (15%) were deceased, and 39 patients (14%) had a recurrence after a median follow-up of 31 months. We observed significant associations of biomarkers with OS, DFS, and risk of recurrence on a continuous scale and comparing top to bottom tertile, with HRs ranging between 1.19 and 13.92. CRP was associated with risk of death and recurrence in patients in the top tertile compared with patients in the bottom tertile, for example, risk of recurrence HRQ3-Q1: 13.92 (1.72-112.56). Significant heterogeneity between biomarkers and clinical outcomes was observed in stratified analysis by tumor site for CRP, SAA, sICAM-1, sVCAM-1, and VEGF-D. VEGF-D was associated with a 3-fold increase in risk of death for rectal cancer (HRlog2: 3.26; 95% CI, 1.58-6.70) compared with no association for colon cancer (HRlog2: 0.78; 95% CI, 0.35-1.73; Pheterogenity = 0.01)., Conclusions: Adhesion molecules and angiogenesis biomarkers are independent prognostic markers for colorectal cancer, with differences by tumor site., Impact: There is need for tailored treatment for colon and rectal cancer., (©2022 American Association for Cancer Research.)
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- 2022
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36. Factors associated with changes in exercise behaviors during the COVID-19 pandemic.
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Himbert C, Hathaway CA, Daniels B, Salas K, Ashworth A, Gigic B, Lin T, Viskochil R, Kirchhoff AC, Grossman D, Ose J, Tward J, Scaife C, Figueiredo JC, Toriola AT, Beck A, Shibata D, Gonzalez BD, Matsen C, Christenson C, Ma DS, Colman H, Hunt JP, Jones KB, Lee CJ, Larson M, Onega T, Akerley WL, Li CI, Schneider M, Penedo FJ, Siegel EM, Tworoger SS, Ulrich CM, and Peoples AR
- Subjects
- Exercise psychology, Health Behavior, Humans, Pandemics, Smoking psychology, COVID-19 epidemiology
- Abstract
Purpose: There is limited information on how the COVID-19 pandemic has changed health behaviors among cancer patients. We examined changes in exercise behaviors since the pandemic and identified characteristics associated with these changes among cancer patients., Methods: Cancer patients (n = 1,210) completed a survey from August to September 2020 to assess COVID-19 pandemic-related changes in health behaviors and psychosocial factors. Patients were categorized into three groups: exercising less, exercising did not change, and exercising more. Patient characteristics were compared by exercise groups., Results: One-third of the patients reported a decreased amount of regular exercise, while 10% reported exercising more during the pandemic. Patients who exercised less were more likely to be unemployed/retired and have poor health status and psychosocial stressors such as disruptions in daily life while less likely to be former smokers (all p < 0.05). In contrast, patients who exercised more were younger, had stage IV diagnosis, and also reported disruptions in daily life (all p < 0.05). Patients who were living in rural areas were also more likely not to experience changes in exercise habits (all p < 0.05), although rural-urban status was not identified as a strong predictor., Conclusion: A significant proportion of cancer patients experienced changes in exercise habits, especially exercising less, during the first 6 months of the COVID-19 pandemic. Age, employment status, tumor stage, health status, smoking status, and psychosocial factors were associated with changes in exercise behaviors. Our results highlight the importance of promoting physical activity guidelines for cancer survivorship during the COVID-19 pandemic and may help improve the identification of cancer patients susceptible to exercising less., (© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)
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- 2022
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37. Racial and ethnic differences in clonal hematopoiesis, tumor markers, and outcomes of patients with multiple myeloma.
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Peres LC, Colin-Leitzinger CM, Teng M, Dutil J, Alugubelli RR, DeAvila G, Teer JK, Du D, Mo Q, Siegel EM, Hampton OA, Alsina M, Brayer J, Blue B, Baz R, Silva AS, Nishihori T, Shain KH, and Gillis N
- Subjects
- Biomarkers, Tumor, Clonal Hematopoiesis, Hispanic or Latino genetics, Humans, Middle Aged, Hematopoietic Stem Cell Transplantation, Multiple Myeloma genetics, Multiple Myeloma therapy
- Abstract
Multiple myeloma (MM) incidence, mortality, and survival vary by race and ethnicity, but the causes of differences remain unclear. We investigated demographic, clinical, and molecular features of diverse MM patients to elucidate mechanisms driving clinical disparities. This study included 495 MM patients (self-reported Hispanic, n = 45; non-Hispanic Black, n = 52; non-Hispanic White, n = 398). Hispanic and non-Hispanic Black individuals had an earlier age of onset than non-Hispanic White individuals (53 and 57 vs 63 years, respectively, P < .001). There were no differences in treatment by race and ethnicity groups, but non-Hispanic Black patients had a longer time to hematopoietic cell transplant than non-Hispanic White patients (376 days vs 248 days; P = .01). Overall survival (OS) was improved for non-Hispanic Black compared with non-Hispanic White patients (HR, 0.50; 95% CI, 0.31-0.81; P = .005), although this association was attenuated after adjusting for clinical features (HR, 0.62; 95% CI, 0.37-1.03; P = .06). Tumor mutations in IRF4 were most common in Hispanic patients, and mutations in SP140, AUTS2, and SETD2 were most common in non-Hispanic Black patients. Differences in tumor expression of BCL7A, SPEF2, and ANKRD26 by race and ethnicity were observed. Clonal hematopoiesis was detected in 12% of patients and associated with inferior OS in non-Hispanic Black patients compared with patients without clonal hematopoiesis (HR, 4.36; 95% CI, 1.36-14.00). This study provides insight into differences in molecular features that may drive clinical disparities in MM patients receiving comparable treatment, with the novel inclusion of Hispanic individuals., (© 2022 by The American Society of Hematology. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting only noncommercial, nonderivative use with attribution. All other rights reserved.)
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- 2022
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38. Association of circulating leukocyte telomere length with survival in patients with colorectal cancer.
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Pauleck S, Gigic B, Cawthon RM, Ose J, Peoples AR, Warby CA, Sinnott JA, Lin T, Boehm J, Schrotz-King P, Li CI, Shibata D, Siegel EM, Figueiredo JC, Toriola AT, Schneider M, Ulrich AB, Hoffmeister A, Ulrich CM, and Hardikar S
- Subjects
- Disease-Free Survival, Humans, Kaplan-Meier Estimate, Leukocytes, Colorectal Neoplasms genetics, Telomere genetics
- Abstract
Introduction: Telomere shortening, as seen with aging, can cause chromosomal instability and promote cancer progression. We investigated the association between circulating telomere length and overall and disease-free survival in a sub-cohort of patients with colorectal cancer., Methods: Baseline genomic DNA from blood leukocytes was extracted from N = 92 newly diagnosed stage I-IV patients with colorectal cancer enrolled at the ColoCare Study site in Heidelberg, Germany. Detailed information on clinicodemographic (including age) and lifestyle risk factors, and clinical outcomes (including recurrence and survival) was collected. Telomere length was measured in DNA using multiplex quantitative polymerase chain reaction. Kaplan Meier survival curves were generated comparing shorter to longer telomere lengths with log-rank testing., Results: The mean T/S ratio for study patients was 0.5 (range: 0.3-0.9). Shorter telomeres were associated with older age at baseline. Patients with shorter telomeres experienced a worse overall and disease-free survival, although this association did not reach statistical significance. Kaplan-Meier survival curves for those with circulating telomere length below vs. above the median showed poorer overall (log-rank p = 0.31) and disease-free survival (long-rank p = 0.23)., Conclusions: Our results suggest that individuals with shorter telomeres, as seen with aging, may experience a worse overall and disease-free survival after colorectal cancer diagnosis. Larger sample sizes with longer follow-up are needed to further evaluate telomere length as a prognostic biomarker in colorectal cancer progression., (Copyright © 2022 Elsevier Ltd. All rights reserved.)
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- 2022
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39. Evaluation of Antibody Response to SARS-CoV-2 mRNA-1273 Vaccination in Patients With Cancer in Florida.
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Giuliano AR, Lancet JE, Pilon-Thomas S, Dong N, Jain AG, Tan E, Ball S, Tworoger SS, Siegel EM, Whiting J, Mo Q, Cubitt CL, Dukes CW, Hensel JA, Keenan RJ, and Hwu P
- Subjects
- Aged, Cohort Studies, Female, Florida, Hematologic Neoplasms, Humans, Immunoglobulin G, Male, Middle Aged, Prospective Studies, SARS-CoV-2, Spike Glycoprotein, Coronavirus, Vaccination, 2019-nCoV Vaccine mRNA-1273 immunology, Antibody Formation, COVID-19 epidemiology, COVID-19 prevention & control, Neoplasms immunology
- Abstract
Importance: Patients with cancer experience high rates of morbidity and mortality after SARS-CoV-2 infection. Immune response to mRNA-1273 vaccination across multiple cancer types and treatments remains to be established., Objective: To quantitate antibody responses after mRNA-1273 vaccination among patients with solid tumors and hematologic cancer and to assess clinical and treatment factors associated with vaccine response., Design, Setting, and Participants: This cohort study included patients with cancer who were aged 18 years or older, spoke English or Spanish, had received their first mRNA-1273 dose between January 12 and 25, 2021, and agreed to blood tests before and after vaccination., Exposures: Receipt of 1 and 2 mRNA-1273 SARS-CoV-2 vaccine doses., Main Outcomes and Measures: Seroconversion after each vaccine dose and IgG levels against SARS-CoV-2 spike protein obtained immediately before the first and second vaccine doses and 57 days (plus or minus 14 days) after the first vaccine dose. Cancer diagnoses and treatments were ascertained by medical record review. Serostatus was assessed via enzyme-linked immunosorbent assay. Paired t tests were applied to examine days 1, 29, and 57 SARS-CoV-2 antibody levels. Binding antibody IgG geometric mean titers were calculated based on log10-transformed values., Results: The 515 participants were a mean (SD) age of 64.5 (11.4) years; 262 (50.9%) were women; and 32 (6.2%) were Hispanic individuals and 479 (93.0%) White individuals; race and ethnicity data on 4 (0.7%) participants were missing. Seropositivity after vaccine dose 2 was 90.3% (465; 95% CI, 87.4%-92.7%) among patients with cancer, was significantly lower among patients with hematologic cancer (84.7% [255]; 95% CI, 80.1%-88.6%) vs solid tumors (98.1% [210]; 95% CI, 95.3%-99.5%), and was lowest among patients with lymphoid cancer (70.0% [77]; 95% CI, 60.5%-78.4%). Patients receiving a vaccination within 6 months after anti-CD20 monoclonal antibody treatment had a significantly lower seroconversion (6.3% [1]; 95% CI, 0.2%-30.2%) compared with those treated 6 to 24 months earlier (53.3% [8]; 95% CI, 26.6%-78.7%) or those who never received anti-CD20 treatment (94.2% [456]; 95% CI, 91.7%-96.1%). Low antibody levels after vaccination were observed among patients treated with anti-CD20 within 6 months before vaccination (GM, 15.5 AU/mL; 95% CI, 9.8-24.5 AU/mL), patients treated with small molecules (GM, 646.7 AU/mL; 95% CI, 441.9-946.5 AU/mL), and patients with low lymphocyte (GM, 547.4 AU/mL; 95% CI, 375.5-797.7 AU/mL) and IgG (GM, 494.7 AU/mL; 95% CI, 304.9-802.7 AU/mL) levels., Conclusions and Relevance: This cohort study found that the mRNA-1273 SARS-CoV-2 vaccine induced variable antibody responses that differed by cancer diagnosis and treatment received. These findings suggest that patients with hematologic cancer and those who are receiving immunosuppressive treatments may need additional vaccination doses.
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- 2022
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40. A New Approach to Understanding Cancer-Related Fatigue: Leveraging the 3P Model to Facilitate Risk Prediction and Clinical Care.
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Sleight AG, Crowder SL, Skarbinski J, Coen P, Parker NH, Hoogland AI, Gonzalez BD, Playdon MC, Cole S, Ose J, Murayama Y, Siegel EM, Figueiredo JC, and Jim HSL
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A major gap impeding development of new treatments for cancer-related fatigue is an inadequate understanding of the complex biological, clinical, demographic, and lifestyle mechanisms underlying fatigue. In this paper, we describe a new application of a comprehensive model for cancer-related fatigue: the predisposing, precipitating, and perpetuating (3P) factors model. This model framework outlined herein, which incorporates the emerging field of metabolomics, may help to frame a more in-depth analysis of the etiology of cancer-related fatigue as well as a broader and more personalized set of approaches to the clinical treatment of fatigue in oncology care. Included within this review paper is an in-depth description of the proposed biological mechanisms of cancer-related fatigue, as well as a presentation of the 3P model's application to this phenomenon. We conclude that a clinical focus on organization risk stratification and treatment around the 3P model may be warranted, and future research may benefit from expanding the 3P model to understand fatigue not only in oncology, but also across a variety of chronic conditions.
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- 2022
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41. Factors associated with self-reported social isolation among patients with cancer during the COVID-19 pandemic.
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Hathaway CA, Bloomer AM, Oswald LB, Siegel EM, Peoples AR, Ulrich CM, Penedo FJ, Tworoger SS, and Gonzalez BD
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- Adolescent, Adult, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Pandemics, Self Report, Social Isolation psychology, Surveys and Questionnaires, Young Adult, COVID-19, Neoplasms epidemiology
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Objective: We aimed to identify patient-level demographic and behavioral characteristics associated with higher social isolation among patients with cancer throughout the coronavirus disease 2019 (COVID-19) pandemic., Method: Moffitt Cancer Center patients seen on or after January 1, 2015, had a last known alive vital status, a valid e-mail address, and were 18-89 years old, were emailed a survey regarding social isolation. We collected information on age, sex, race, ethnicity, marital status, smoking, self-reported cancer diagnosis, cancer treatment, and perceived life changes due to the COVID-19 pandemic. We calculated a COVID-19 risk mitigation score by summing the frequency of risk mitigation behaviors (e.g., mask wearing). Social isolation was assessed with the self-reported Patient-Reported Outcomes Measurement Information System (PROMIS) Social Isolation Short Form. Logistic regression models compared characteristics of participants reporting higher versus lower social isolation (T-scores >60 vs. ≤60)., Results: Most participants (N = 9,579) were female (59.2%), White (93.0%), and non-Hispanic (92.5%). Participants at greater odds of higher social isolation were younger (per 10 years decrease odds ratio [OR] = 1.36, 95% confidence interval, CI [1.30, 1.43]), female (vs. male OR = 1.54, 95% CI [1.36, 1.74]), unmarried (vs. married OR = 1.83, 95% CI [1.62, 2.08]), current smokers (vs. never OR = 2.38, 95% CI [1.88, 3.00]), reporting more risk mitigation behaviors (per 1 SD; OR = 1.33, 95% CI [1.24, 1.42]), and more perceived life changes (vs. little/no change; OR = 2.64, 95% CI [2.08, 3.35])., Conclusions: We identified younger age, females, unmarried, current smokers, more risk mitigation behaviors, and more perceived life changes increased odds of social isolation for patients with cancer during the COVID-19 pandemic. This can inform identification of patients with cancer at higher risk of social isolation for targeted mitigation strategies. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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- 2022
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42. Characterization of Epigenomic Alterations in HPV16+ Head and Neck Squamous Cell Carcinomas.
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Berglund A, Muenyi C, Siegel EM, Ajidahun A, Eschrich SA, Wong D, Hendrick LE, Putney RM, Kim S, Hayes DN, and Shibata D
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- DNA-Binding Proteins, Epigenomics, Human papillomavirus 16 genetics, Humans, Mitochondrial Proteins, Papillomaviridae genetics, Squamous Cell Carcinoma of Head and Neck genetics, Transcription Factors, Carcinoma, Squamous Cell pathology, Head and Neck Neoplasms genetics, Papillomavirus Infections complications, Papillomavirus Infections genetics, Papillomavirus Infections pathology
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Background: Epigenetic changes associated with human papillomavirus (HPV)-driven tumors have been described; however, HPV type-specific alterations are less well understood. We sought to compare HPV16-specific methylation changes with those in virus-unassociated head and neck squamous cell carcinomas (HNSCC)., Methods: Within The Cancer Genome Atlas, 59 HPV16+ HNSCC, 238 nonviral HNSCC (no detectable HPV or other viruses), and 50 normal head and neck tissues were evaluated. Significant differentially methylated regions (DMR) were selected, and key associated genes were identified. Partial least squares models were generated to predict HPV16 status in additional independent samples., Results: HPV infection in HNSCC is associated with type-specific methylomic profiles. Multiple significant DMRs were identified between HPV16+, nonviral, and normal samples. The most significant differentially methylated genes, SYCP2, MSX2, HLTF, PITX2, and GRAMD4, demonstrated HPV16-associated methylation patterns with corresponding alterations in gene expression. Phylogenetically related HPV types (alpha-9 species; HPV31, HPV33, and HPV35) demonstrated a similar methylation profile to that of HPV16 but differed from those seen in other types, such as HPV18 and 45 (alpha-7)., Conclusions: HNSCC linked to HPV16 and types from the same alpha species are associated with a distinct methylation profile. This HPV16-associated methylation pattern is also detected in cervical cancer and testicular germ cell tumors. We present insights into both shared and unique methylation alterations associated with HPV16+ tumors and may have implications for understanding the clinical behavior of HPV-associated HNSCC., Impact: HPV type-specific methylomic changes may contribute to understanding biologic mechanisms underlying differences in clinical behavior among different HPV+ and HPV- HNSCC., (©2022 American Association for Cancer Research.)
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- 2022
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43. Quantification of T- and B-cell Immune Receptor Distribution Diversity Characterizes Immune Cell Infiltration and Lymphocyte Heterogeneity in Clear Cell Renal Cell Carcinoma.
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Ferrall-Fairbanks MC, Chakiryan NH, Chobrutskiy BI, Kim Y, Teer JK, Berglund A, Mulé JJ, Fournier M, Siegel EM, Dhillon J, Falasiri SSA, Arturo JF, Katende EN, Blanck G, Manley BJ, and Altrock PM
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- Female, Humans, Lymphocytes, Tumor-Infiltrating, Male, Prognosis, Receptors, Antigen, B-Cell, Receptors, Antigen, T-Cell, alpha-beta, Tumor Microenvironment, Carcinoma, Renal Cell pathology, Kidney Neoplasms
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Immune-modulating systemic therapies are often used to treat advanced cancer such as metastatic clear cell renal cell carcinoma (ccRCC). Used alone, sequence-based biomarkers neither accurately capture patient dynamics nor the tumor immune microenvironment. To better understand the tumor ecology of this immune microenvironment, we quantified tumor infiltration across three distinct ccRCC patient tumor cohorts using complementarity determining region-3 (CDR3) sequence recovery counts in tumor-infiltrating lymphocytes and a generalized diversity index (GDI) for CDR3 sequence distributions. GDI can be understood as a curve over a continuum of diversity scales that allows sensitive characterization of distributions to capture sample richness, evenness, and subsampling uncertainty, along with other important metrics that characterize tumor heterogeneity. For example, richness quantified the total unique sequence count, while evenness quantified similarities across sequence frequencies. Significant differences in receptor sequence diversity across gender and race revealed that patients with larger and more clinically aggressive tumors had increased richness of recovered tumoral CDR3 sequences, specifically in those from T-cell receptor alpha and B-cell immunoglobulin lambda light chain. The GDI inflection point (IP) allowed for a novel and robust measure of distribution evenness. High IP values were associated with improved overall survival, suggesting that normal-like sequence distributions lead to better outcomes. These results propose a new quantitative tool that can be used to better characterize patient-specific differences related to immune cell infiltration, and to identify unique characteristics of tumor-infiltrating lymphocyte heterogeneity in ccRCC and other malignancies., Significance: Assessment of tumor-infiltrating T-cell and B-cell diversity in renal cell carcinoma advances the understanding of tumor-immune system interactions, linking tumor immune ecology with tumor burden, aggressiveness, and patient survival. See related commentary by Krishna and Hakimi, p. 764., (©2022 The Authors; Published by the American Association for Cancer Research.)
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- 2022
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44. Genome-wide host methylation profiling of anal and cervical carcinoma.
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Siegel EM, Ajidahun A, Berglund A, Guerrero W, Eschrich S, Putney RM, Magliocco A, Riggs B, Winter K, Simko JP, Ajani JA, Guha C, Okawara GS, Abdalla I, Becker MJ, Pizzolato JF, Crane CH, Brown KD, and Shibata D
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- Adult, Aged, Anus Neoplasms genetics, Anus Neoplasms therapy, Carcinoma, Squamous Cell genetics, Carcinoma, Squamous Cell therapy, Chemoradiotherapy methods, Clinical Trials, Phase III as Topic, Female, Follow-Up Studies, Humans, Male, Middle Aged, Prognosis, Randomized Controlled Trials as Topic, Survival Rate, Uterine Cervical Neoplasms genetics, Uterine Cervical Neoplasms therapy, Young Adult, Anus Neoplasms pathology, Biomarkers, Tumor genetics, Carcinoma, Squamous Cell pathology, DNA Methylation, Gene Expression Regulation, Neoplastic, Genome, Human, Uterine Cervical Neoplasms pathology
- Abstract
HPV infection results in changes in host gene methylation which, in turn, are thought to contribute to the neoplastic progression of HPV-associated cancers. The objective of this study was to identify joint and disease-specific genome-wide methylation changes in anal and cervical cancer as well as changes in high-grade pre-neoplastic lesions. Formalin-fixed paraffin-embedded (FFPE) anal tissues (n = 143; 99% HPV+) and fresh frozen cervical tissues (n = 28; 100% HPV+) underwent microdissection, DNA extraction, HPV genotyping, bisulfite modification, DNA restoration (FFPE) and analysis by the Illumina HumanMethylation450 Array. Differentially methylated regions (DMR; t test q<0.01, 3 consecutive significant CpG probes and mean Δβ methylation value>0.3) were compared between normal and cancer specimens in partial least squares (PLS) models and then used to classify anal or cervical intraepithelial neoplasia-3 (AIN3/CIN3). In AC, an 84-gene PLS signature (355 significant probes) differentiated normal anal mucosa (NM; n = 9) from AC (n = 121) while a 36-gene PLS signature (173 significant probes) differentiated normal cervical epithelium (n = 10) from CC (n = 9). The CC progression signature was validated using three independent publicly available datasets (n = 424 cases). The AC and CC progression PLS signatures were interchangeable in segregating normal, AIN3/CIN3 and AC and CC and were found to include 17 common overlapping hypermethylated genes. Moreover, these signatures segregated AIN3/CIN3 lesions similarly into cancer-like and normal-like categories. Distinct methylation changes occur across the genome during the progression of AC and CC with overall similar profiles and add to the evidence suggesting that HPV-driven oncogenesis may result in similar non-random methylomic events. Our findings may lead to identification of potential epigenetic drivers of HPV-associated cancers and also, of potential markers to identify higher risk pre-cancerous lesions., Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: Dr. Berglund discloses grants from NIH and from Florida Biomedical Research program, during the conduct of the study. Dr. Eschrich reports grants from the NCI, during the conduct of the study and other relevant financial activities with Cvergenx, Inc., outside the submitted work. Dr. Guha reports grants and personal fees from Johnson & Johnson, grants from Celldex, and other financial activities from Focused Ultrasound Foundation and Varian, outside the submitted work. Dr. Siegel reports grant from the NIH and from the Florida Biomedical Research Program, during the conduct of the study. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
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- 2021
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45. Cancer Detection and Classification by CpG Island Hypermethylation Signatures in Plasma Cell-Free DNA.
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Huang J, Soupir AC, Schlick BD, Teng M, Sahin IH, Permuth JB, Siegel EM, Manley BJ, Pellini B, and Wang L
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Cell-free DNA (cfDNA) methylation has emerged as a promising biomarker for early cancer detection, tumor type classification, and treatment response monitoring. Enrichment-based cfDNA methylation profiling methods such as cfMeDIP-seq have shown high accuracy in the classification of multiple cancer types. We have previously optimized another enrichment-based approach for ultra-low input cfDNA methylome profiling, termed cfMBD-seq. We reported that cfMBD-seq outperforms cfMeDIP-seq in the enrichment of high-CpG-density regions, such as CpG islands. However, the clinical feasibility of cfMBD-seq is unknown. In this study, we applied cfMBD-seq to profiling the cfDNA methylome using plasma samples from cancer patients and non-cancer controls. We identified 1759, 1783, and 1548 differentially hypermethylated CpG islands (DMCGIs) in lung, colorectal, and pancreatic cancer patients, respectively. Interestingly, the vast majority of DMCGIs were overlapped with aberrant methylation changes in corresponding tumor tissues, indicating that DMCGIs detected by cfMBD-seq were mainly driven by tumor-specific DNA methylation patterns. From the overlapping DMCGIs, we carried out machine learning analyses and identified a set of discriminating methylation signatures that had robust performance in cancer detection and classification. Overall, our study demonstrates that cfMBD-seq is a powerful tool for sensitive detection of tumor-derived epigenomic signals in cfDNA.
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- 2021
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46. Impact of the COVID-19 pandemic on exercise habits among cancer patients.
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Himbert C, Hathaway CA, Daniels B, Salas K, Ashworth A, Gigic B, Lin T, Viskochil R, Kirchhoff AC, Grossman D, Ose J, Tward J, Scaife C, Figueiredo JC, Toriola AT, Beck A, Shibata D, Gonzalez BD, Matsen C, Christenson C, Ma DS, Colman H, Hunt JP, Jones KB, Lee CJ, Larson M, Onega T, Akerley WL, Li CI, Schneider M, Penedo FJ, Siegel EM, Tworoger SS, Ulrich CM, and Peoples AR
- Abstract
Purpose There is limited information on how the COVID-19 pandemic has changed health behaviors among cancer patients. We examined the impact of the pandemic on changes in exercise behaviors and identified characteristics associated with these changes among cancer patients. Methods Cancer patients (n = 1,361) completed a survey from August-September 2020 to assess COVID-19 pandemic-related changes in health behaviors and psychosocial factors. Patients were categorized into 3 groups: exercising less, exercising did not change, and exercising more. Patient characteristics were compared by exercise groups. Results One-third of the patients reported a decreased amount of regular exercise, while 11% reported exercising more during the pandemic. Patients who exercised less were more likely to be unemployed/retired, undergoing active treatment, and had increased pandemic-related alcohol consumption and psychosocial stressors such as loneliness and financial stress (all p < 0.05). In contrast, patients who exercised more were younger, female, full-time employed, did not consume alcohol, and had good health status and more social interactions (all p < 0.05). Patients who were living in rural areas and did not experience changes in daily life, were also more likely not to experience changes in exercise habits (all p < 0.05). Conclusion Our results indicate that a significant proportion of cancer patients experienced changes in exercise habits during the first 6 months of the COVID-19 pandemic. Age, sex, employment status, health status, alcohol consumption, and psychosocial factors were associated with changes in exercise behaviors. Providers should monitor for changes in health behaviors, such as exercise, because of their importance in improving cancer survivorship.
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- 2021
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47. Correction: Effects of Tobacco Smoking On the Tumor Immune Microenvironment in Head and Neck Squamous Cell Carcinoma.
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de la Iglesia JV, Slebos RJC, Martin-Gomez L, Wang X, Teer JK, Tan AC, Gerke TA, Aden-Buie G, van Veen T, Masannat J, Chaudhary R, Song F, Fournier M, Siegel EM, Schabath MB, Wadsworth JT, Caudell J, Harrison L, Wenig BM, Conejo-Garcia J, Hernandez-Prera JC, and Chung CH
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- 2021
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48. Fusobacterium nucleatum and Clinicopathologic Features of Colorectal Cancer: Results From the ColoCare Study.
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Eisele Y, Mallea PM, Gigic B, Stephens WZ, Warby CA, Buhrke K, Lin T, Boehm J, Schrotz-King P, Hardikar S, Huang LC, Pickron TB, Scaife CL, Viskochil R, Koelsch T, Peoples AR, Pletneva MA, Bronner M, Schneider M, Ulrich AB, Swanson EA, Toriola AT, Shibata D, Li CI, Siegel EM, Figueiredo J, Janssen KP, Hauner H, Round J, Ulrich CM, Holowatyj AN, and Ose J
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- Humans, Microsatellite Instability, Prognosis, Prospective Studies, Colorectal Neoplasms, Fusobacterium nucleatum
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Background: Fusobacterium nucleatum (Fn), a bacterium associated with a wide spectrum of infections, has emerged as a key microbe in colorectal carcinogenesis. However, the underlying mechanisms and clinical relevance of Fn in colorectal cancer (CRC) remain incompletely understood., Patients and Methods: We examined associations between Fn abundance and clinicopathologic characteristics among 105 treatment-naïve CRC patients enrolled in the international, prospective ColoCare Study. Electronic medical charts, including pathological reports, were reviewed to document clinicopathologic features. Quantitative real-time polymerase chain reaction (PCR) was used to amplify/detect Fn DNA in preoperative fecal samples. Multinomial logistic regression was used to analyze associations between Fn abundance and patient sex, age, tumor stage, grade, site, microsatellite instability, body mass index (BMI), alcohol consumption, and smoking history. Cox proportional hazards models were used to investigate associations of Fn abundance with overall survival in adjusted models., Results: Compared to patients with undetectable or low Fn abundance, patients with high Fn abundance (n = 22) were 3-fold more likely to be diagnosed with rectal versus colon cancer (odds ratio [OR] = 3.01; 95% confidence interval [CI], 1.06-8.57; P = .04) after adjustment for patient sex, age, BMI, and study site. Patients with high Fn abundance also had a 5-fold increased risk of being diagnosed with rectal cancer versus right-sided colon cancer (OR = 5.32; 95% CI, 1.23-22.98; P = .03). There was no statistically significant association between Fn abundance and overall survival., Conclusion: Our findings suggest that Fn abundance in fecal samples collected prior to surgery varies by tumor site among treatment-naïve CRC patients. Overall, fecal Fn abundance may have diagnostic and prognostic significance in the clinical management of CRC., (Copyright © 2021. Published by Elsevier Inc.)
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- 2021
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49. Improving Electronic Survey Response Rates Among Cancer Center Patients During the COVID-19 Pandemic: Mixed Methods Pilot Study.
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Hathaway CA, Chavez MN, Kadono M, Ketcher D, Rollison DE, Siegel EM, Peoples AR, Ulrich CM, Penedo FJ, Tworoger SS, and Gonzalez BD
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Background: Surveys play a vital role in cancer research. During the COVID-19 pandemic, the use of electronic surveys is crucial to improve understanding of the patient experience. However, response rates to electronic surveys are often lower compared with those of paper surveys., Objective: The aim of this study was to determine the best approach to improve response rates for an electronic survey administered to patients at a cancer center during the COVID-19 pandemic., Methods: We contacted 2750 patients seen at Moffitt Cancer Center in the prior 5 years via email to complete a survey regarding their experience during the COVID-19 pandemic, with patients randomly assigned to a series of variations of prenotifications (ie, postcard, letter) or incentives (ie, small gift, modest gift card). In total, eight combinations were evaluated. Qualitative interviews were conducted to understand the level of patient understanding and burden with the survey, and quantitative analysis was used to evaluate the response rates between conditions., Results: A total of 262 (9.5%) patients completed the survey and 9 participated in a qualitative interview. Interviews revealed minimal barriers in understanding or burden, which resulted in minor survey design changes. Compared to sending an email only, sending a postcard or letter prior to the email improved response rates from 3.7% to 9.8%. Similarly, inclusion of an incentive significantly increased the response rate from 5.4% to 16.7%, especially among racial (3.0% to 12.2%) and ethnic (6.4% to 21.0%) minorities, as well as among patients with low socioeconomic status (3.1% to 14.9%)., Conclusions: Strategies to promote effective response rates include prenotification postcards or letters as well as monetary incentives. This work can inform future survey development to increase response rates for electronic surveys, particularly among hard-to-reach populations., (©Cassandra A Hathaway, Melody N Chavez, Mika Kadono, Dana Ketcher, Dana E Rollison, Erin M Siegel, Anita R Peoples, Cornelia M Ulrich, Frank J Penedo, Shelley S Tworoger, Brian D Gonzalez. Originally published in JMIR Cancer (https://cancer.jmir.org), 06.08.2021.)
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- 2021
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50. Clinical Characteristics and Outcomes of Colorectal Cancer in the ColoCare Study: Differences by Age of Onset.
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Himbert C, Figueiredo JC, Shibata D, Ose J, Lin T, Huang LC, Peoples AR, Scaife CL, Pickron B, Lambert L, Cohan JN, Bronner M, Felder S, Sanchez J, Dessureault S, Coppola D, Hoffman DM, Nasseri YF, Decker RW, Zaghiyan K, Murrell ZA, Hendifar A, Gong J, Firoozmand E, Gangi A, Moore BA, Cologne KG, El-Masry MS, Hinkle N, Monroe J, Mutch M, Bernadt C, Chatterjee D, Sinanan M, Cohen SA, Wallin U, Grady WM, Lampe PD, Reddi D, Krane M, Fichera A, Moonka R, Herpel E, Schirmacher P, Kloor M, von Knebel-Doeberitz M, Nattenmueller J, Kauczor HU, Swanson E, Jedrzkiewicz J, Schmit SL, Gigic B, Ulrich AB, Toriola AT, Siegel EM, Li CI, Ulrich CM, and Hardikar S
- Abstract
Early-onset colorectal cancer has been on the rise in Western populations. Here, we compare patient characteristics between those with early- (<50 years) vs. late-onset (≥50 years) disease in a large multinational cohort of colorectal cancer patients ( n = 2193). We calculated descriptive statistics and assessed associations of clinicodemographic factors with age of onset using mutually-adjusted logistic regression models. Patients were on average 60 years old, with BMI of 29 kg/m
2 , 52% colon cancers, 21% early-onset, and presented with stage II or III (60%) disease. Early-onset patients presented with more advanced disease (stages III-IV: 63% vs. 51%, respectively), and received more neo and adjuvant treatment compared to late-onset patients, after controlling for stage (odds ratio (OR) (95% confidence interval (CI)) = 2.30 (1.82-3.83) and 2.00 (1.43-2.81), respectively). Early-onset rectal cancer patients across all stages more commonly received neoadjuvant treatment, even when not indicated as the standard of care, e.g., during stage I disease. The odds of early-onset disease were higher among never smokers and lower among overweight patients (1.55 (1.21-1.98) and 0.56 (0.41-0.76), respectively). Patients with early-onset colorectal cancer were more likely to be diagnosed with advanced stage disease, to have received systemic treatments regardless of stage at diagnosis, and were less likely to be ever smokers or overweight.- Published
- 2021
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