516 results on '"Badve, S"'
Search Results
2. Correction to: Inflammatory breast cancer defined: proposed common diagnostic criteria to guide treatment and research
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Jagsi, R., Mason, G., Overmoyer, B. A., Woodward, W. A., Badve, S., Schneider, R. J., Lang, J. E., Alpaugh, M., Williams, K. P., Vaught, D., Smith, A., Smith, K., and Miller, K. D.
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- 2022
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3. Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer
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Jahangir, CA, Page, DB, Broeckx, G, Gonzalez, CA, Burke, C, Murphy, C, Reis-Filho, JS, Ly, A, Harms, PW, Gupta, RR, Vieth, M, Hida, A, Kahila, M, Kos, Z, van Diest, PJ, Verbandt, S, Thagaard, J, Khiroya, R, Abduljabbar, K, Haab, GA, Acs, B, Adams, S, Almeida, JS, Alvarado-Cabrero, I, Azmoudeh-Ardalan, F, Badve, S, Baharun, NB, Bellolio, ER, Bheemaraju, V, Blenman, KRM, Fujimoto, LBM, Burgues, O, Chardas, A, Cheang, MCU, Ciompi, F, Cooper, LAD, Coosemans, A, Corredor, G, Portela, FLD, Deman, F, Demaria, S, Dudgeon, SN, Elghazawy, M, Fernandez-Martin, C, Fineberg, S, Fox, SB, Giltnane, JM, Gnjatic, S, Gonzalez-Ericsson, P, Grigoriadis, A, Halama, N, Hanna, MG, Harbhajanka, A, Hart, SN, Hartman, J, Hewitt, S, Horlings, HM, Husain, Z, Irshad, S, Janssen, EAM, Kataoka, TR, Kawaguchi, K, Khramtsov, A, Kiraz, U, Kirtani, P, Kodach, LL, Korski, K, Akturk, G, Scott, E, Kovacs, A, Laenkholm, A-V, Lang-Schwarz, C, Larsimont, D, Lennerz, JK, Lerousseau, M, Li, X, Madabhushi, A, Maley, SK, Narasimhamurthy, VM, Marks, DK, McDonald, ES, Mehrotra, R, Michiels, S, Kharidehal, D, Minhas, FUAA, Mittal, S, Moore, DA, Mushtaq, S, Nighat, H, Papathomas, T, Penault-Llorca, F, Perera, RD, Pinard, CJ, Pinto-Cardenas, JC, Pruneri, G, Pusztai, L, Rajpoot, NM, Rapoport, BL, Rau, TT, Ribeiro, JM, Rimm, D, Vincent-Salomon, A, Saltz, J, Sayed, S, Hytopoulos, E, Mahon, S, Siziopikou, KP, Sotiriou, C, Stenzinger, A, Sughayer, MA, Sur, D, Symmans, F, Tanaka, S, Taxter, T, Tejpar, S, Teuwen, J, Thompson, EA, Tramm, T, Tran, WT, van Der Laak, J, Verghese, GE, Viale, G, Wahab, N, Walter, T, Waumans, Y, Wen, HY, Yang, W, Yuan, Y, Bartlett, J, Loibl, S, Denkert, C, Savas, P, Loi, S, Stovgaard, ES, Salgado, R, Gallagher, WM, Rahman, A, Jahangir, CA, Page, DB, Broeckx, G, Gonzalez, CA, Burke, C, Murphy, C, Reis-Filho, JS, Ly, A, Harms, PW, Gupta, RR, Vieth, M, Hida, A, Kahila, M, Kos, Z, van Diest, PJ, Verbandt, S, Thagaard, J, Khiroya, R, Abduljabbar, K, Haab, GA, Acs, B, Adams, S, Almeida, JS, Alvarado-Cabrero, I, Azmoudeh-Ardalan, F, Badve, S, Baharun, NB, Bellolio, ER, Bheemaraju, V, Blenman, KRM, Fujimoto, LBM, Burgues, O, Chardas, A, Cheang, MCU, Ciompi, F, Cooper, LAD, Coosemans, A, Corredor, G, Portela, FLD, Deman, F, Demaria, S, Dudgeon, SN, Elghazawy, M, Fernandez-Martin, C, Fineberg, S, Fox, SB, Giltnane, JM, Gnjatic, S, Gonzalez-Ericsson, P, Grigoriadis, A, Halama, N, Hanna, MG, Harbhajanka, A, Hart, SN, Hartman, J, Hewitt, S, Horlings, HM, Husain, Z, Irshad, S, Janssen, EAM, Kataoka, TR, Kawaguchi, K, Khramtsov, A, Kiraz, U, Kirtani, P, Kodach, LL, Korski, K, Akturk, G, Scott, E, Kovacs, A, Laenkholm, A-V, Lang-Schwarz, C, Larsimont, D, Lennerz, JK, Lerousseau, M, Li, X, Madabhushi, A, Maley, SK, Narasimhamurthy, VM, Marks, DK, McDonald, ES, Mehrotra, R, Michiels, S, Kharidehal, D, Minhas, FUAA, Mittal, S, Moore, DA, Mushtaq, S, Nighat, H, Papathomas, T, Penault-Llorca, F, Perera, RD, Pinard, CJ, Pinto-Cardenas, JC, Pruneri, G, Pusztai, L, Rajpoot, NM, Rapoport, BL, Rau, TT, Ribeiro, JM, Rimm, D, Vincent-Salomon, A, Saltz, J, Sayed, S, Hytopoulos, E, Mahon, S, Siziopikou, KP, Sotiriou, C, Stenzinger, A, Sughayer, MA, Sur, D, Symmans, F, Tanaka, S, Taxter, T, Tejpar, S, Teuwen, J, Thompson, EA, Tramm, T, Tran, WT, van Der Laak, J, Verghese, GE, Viale, G, Wahab, N, Walter, T, Waumans, Y, Wen, HY, Yang, W, Yuan, Y, Bartlett, J, Loibl, S, Denkert, C, Savas, P, Loi, S, Stovgaard, ES, Salgado, R, Gallagher, WM, and Rahman, A
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- 2024
4. Recommendations for standardized pathological characterization of residual disease for neoadjuvant clinical trials of breast cancer by the BIG-NABCG collaboration
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Bossuyt, V, Provenzano, E, Symmans, WF, Boughey, JC, Coles, C, Curigliano, G, Dixon, JM, Esserman, LJ, Fastner, G, Kuehn, T, Peintinger, F, von Minckwitz, G, White, J, Yang, W, Badve, S, Denkert, C, MacGrogan, G, Penault-Llorca, F, Viale, G, Cameron, D, collaboration, Breast International Group-North American Breast Cancer Group, Earl, Helena, Alba, Emilio, Lluch, Ana, Albanell, Joan, Amos, Keith, Biernat, Wojciech, Bonnefoi, Hervé, Buzdar, Aman, Cane, Paul, Pinder, Sarah, Carson, Lesley, Dickson-Witmer, Diana, Gong, Gyungyub, Green, Jimmy, Hsu, Chih-Yi, Tseng, Ling-Ming, Kroep, Judith, Leitch, A Marilyn, Sarode, Venetia, Mamounas, Eleftherios, Marcom, Paul Kelly, Nuciforo, Paolo, Paik, Soonmyung, Peg, Vicente, Peston, David, Pierga, Jean-Yves, Quintela-Fandino, Miguel, Salgado, Roberto, Sikov, William, Thomas, Jeremy, Unzeitig, Gary, and Wesseling, Jelle
- Subjects
Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Clinical Research ,Breast Cancer ,Cancer ,Antineoplastic Combined Chemotherapy Protocols ,Breast Neoplasms ,Chemotherapy ,Adjuvant ,Clinical Trials as Topic ,Female ,Humans ,Neoadjuvant Therapy ,Neoplasm Staging ,Neoplasm ,Residual ,Practice Guidelines as Topic ,Prognosis ,breast cancer ,neoadjuvant systemic therapy ,residual disease ,pathologic complete response ,pathologic assessment ,response evaluation ,Breast International Group-North American Breast Cancer Group (BIG-NABCG) collaboration ,Oncology & Carcinogenesis ,Clinical sciences ,Oncology and carcinogenesis - Abstract
Neoadjuvant systemic therapy (NAST) provides the unique opportunity to assess response to treatment after months rather than years of follow-up. However, significant variability exists in methods of pathologic assessment of response to NAST, and thus its interpretation for subsequent clinical decisions. Our international multidisciplinary working group was convened by the Breast International Group-North American Breast Cancer Group (BIG-NABCG) collaboration and tasked to recommend practical methods for standardized evaluation of the post-NAST surgical breast cancer specimen for clinical trials that promote accurate and reliable designation of pathologic complete response (pCR) and meaningful characterization of residual disease. Recommendations include multidisciplinary communication; clinical marking of the tumor site (clips); and radiologic, photographic, or pictorial imaging of the sliced specimen, to map the tissue sections and reconcile macroscopic and microscopic findings. The information required to define pCR (ypT0/is ypN0 or ypT0 yp N0), residual ypT and ypN stage using the current AJCC/UICC system, and the Residual Cancer Burden system were recommended for quantification of residual disease in clinical trials.
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- 2015
5. Applied Proteomics in Breast Cancer
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Lai, Xianyin, Badve, S., Badve, Sunil, editor, and Gökmen-Polar, Yesim, editor
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- 2016
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6. Refined estimates of local recurrence risks by DCIS score adjusting for clinicopathological features: a combined analysis of ECOG-ACRIN E5194 and Ontario DCIS cohort studies
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Rakovitch, E., Gray, R., Baehner, F. L., Sutradhar, R., Crager, M., Gu, S., Nofech-Mozes, S., Badve, S. S., Hanna, W., Hughes, L. L., Wood, W. C., Davidson, N. E., Paszat, L., Shak, S., Sparano, J. A., and Solin, L. J.
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- 2018
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7. P240 Computerized Quantification of Tumor Infiltrating Lymphocyte (TIL) as a prognostic and predictive factor in ductal carcinoma in situ: Results from the UK/ANZ DCIS randomized trial
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Li, H., primary, Madabhushi, A., additional, Badve, S., additional, Cuzick, J., additional, and Thorat, M.A., additional
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- 2023
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8. P225 Impact Of Oncoplasty in Increasing Breast Conservation Rates Post Neo-Adjuvant Chemotherapy
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Koppiker, C.B, primary, Kelkar, D.A, additional, Kulkarni, M., additional, Pai, M., additional, Dhar, U., additional, Deshmukh, C., additional, Varghese, B., additional, Jumle, N., additional, Zamre, V., additional, Kadu, S., additional, Joshi, A., additional, Unde, R., additional, Banale, R., additional, Namewar, N., additional, Vaid, P., additional, Thomas, G., additional, Nare, S., additional, Pereira, J., additional, and Badve, S., additional
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- 2023
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9. Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: a report of the international immuno-oncology biomarker working group
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Thagaard, J, Broeckx, G, Page, DB, Jahangir, CA, Verbandt, S, Kos, Z, Gupta, R, Khiroya, R, Abduljabbar, K, Acosta Haab, G, Acs, B, Akturk, G, Almeida, JS, Alvarado-Cabrero, I, Amgad, M, Azmoudeh-Ardalan, F, Badve, S, Baharun, NB, Balslev, E, Bellolio, ER, Bheemaraju, V, Blenman, KRM, Botinelly Mendonca Fujimoto, L, Bouchmaa, N, Burgues, O, Chardas, A, Cheang, MU, Ciompi, F, Cooper, LAD, Coosemans, A, Corredor, G, Dahl, AB, Dantas Portela, FL, Deman, F, Demaria, S, Dore Hansen, J, Dudgeon, SN, Ebstrup, T, Elghazawy, M, Fernandez-Martin, C, Fox, SB, Gallagher, WM, Giltnane, JM, Gnjatic, S, Gonzalez-Ericsson, P, Grigoriadis, A, Halama, N, Hanna, MG, Harbhajanka, A, Hart, SN, Hartman, J, Hauberg, S, Hewitt, S, Hida, A, Horlings, HM, Husain, Z, Hytopoulos, E, Irshad, S, Janssen, EAM, Kahila, M, Kataoka, TR, Kawaguchi, K, Kharidehal, D, Khramtsov, A, Kiraz, U, Kirtani, P, Kodach, LL, Korski, K, Kovacs, A, Laenkholm, A-V, Lang-Schwarz, C, Larsimont, D, Lennerz, JK, Lerousseau, M, Li, X, Ly, A, Madabhushi, A, Maley, SK, Manur Narasimhamurthy, V, Marks, DK, McDonald, ES, Mehrotra, R, Michiels, S, Minhas, FUAA, Mittal, S, Moore, DA, Mushtaq, S, Nighat, H, Papathomas, T, Penault-Llorca, F, Perera, RD, Pinard, CJ, Pinto-Cardenas, JC, Pruneri, G, Pusztai, L, Rahman, A, Rajpoot, NM, Rapoport, BL, Rau, TT, Reis-Filho, JS, Ribeiro, JM, Rimm, D, Roslind, A, Vincent-Salomon, A, Salto-Tellez, M, Saltz, J, Sayed, S, Scott, E, Siziopikou, KP, Sotiriou, C, Stenzinger, A, Sughayer, MA, Sur, D, Fineberg, S, Symmans, F, Tanaka, S, Taxter, T, Tejpar, S, Teuwen, J, Thompson, EA, Tramm, T, Tran, WT, van Der Laak, J, van Diest, PJ, Verghese, GE, Viale, G, Vieth, M, Wahab, N, Walter, T, Waumans, Y, Wen, HY, Yang, W, Yuan, Y, Zin, RM, Adams, S, Bartlett, J, Loibl, S, Denkert, C, Savas, P, Loi, S, Salgado, R, Specht Stovgaard, E, Thagaard, J, Broeckx, G, Page, DB, Jahangir, CA, Verbandt, S, Kos, Z, Gupta, R, Khiroya, R, Abduljabbar, K, Acosta Haab, G, Acs, B, Akturk, G, Almeida, JS, Alvarado-Cabrero, I, Amgad, M, Azmoudeh-Ardalan, F, Badve, S, Baharun, NB, Balslev, E, Bellolio, ER, Bheemaraju, V, Blenman, KRM, Botinelly Mendonca Fujimoto, L, Bouchmaa, N, Burgues, O, Chardas, A, Cheang, MU, Ciompi, F, Cooper, LAD, Coosemans, A, Corredor, G, Dahl, AB, Dantas Portela, FL, Deman, F, Demaria, S, Dore Hansen, J, Dudgeon, SN, Ebstrup, T, Elghazawy, M, Fernandez-Martin, C, Fox, SB, Gallagher, WM, Giltnane, JM, Gnjatic, S, Gonzalez-Ericsson, P, Grigoriadis, A, Halama, N, Hanna, MG, Harbhajanka, A, Hart, SN, Hartman, J, Hauberg, S, Hewitt, S, Hida, A, Horlings, HM, Husain, Z, Hytopoulos, E, Irshad, S, Janssen, EAM, Kahila, M, Kataoka, TR, Kawaguchi, K, Kharidehal, D, Khramtsov, A, Kiraz, U, Kirtani, P, Kodach, LL, Korski, K, Kovacs, A, Laenkholm, A-V, Lang-Schwarz, C, Larsimont, D, Lennerz, JK, Lerousseau, M, Li, X, Ly, A, Madabhushi, A, Maley, SK, Manur Narasimhamurthy, V, Marks, DK, McDonald, ES, Mehrotra, R, Michiels, S, Minhas, FUAA, Mittal, S, Moore, DA, Mushtaq, S, Nighat, H, Papathomas, T, Penault-Llorca, F, Perera, RD, Pinard, CJ, Pinto-Cardenas, JC, Pruneri, G, Pusztai, L, Rahman, A, Rajpoot, NM, Rapoport, BL, Rau, TT, Reis-Filho, JS, Ribeiro, JM, Rimm, D, Roslind, A, Vincent-Salomon, A, Salto-Tellez, M, Saltz, J, Sayed, S, Scott, E, Siziopikou, KP, Sotiriou, C, Stenzinger, A, Sughayer, MA, Sur, D, Fineberg, S, Symmans, F, Tanaka, S, Taxter, T, Tejpar, S, Teuwen, J, Thompson, EA, Tramm, T, Tran, WT, van Der Laak, J, van Diest, PJ, Verghese, GE, Viale, G, Vieth, M, Wahab, N, Walter, T, Waumans, Y, Wen, HY, Yang, W, Yuan, Y, Zin, RM, Adams, S, Bartlett, J, Loibl, S, Denkert, C, Savas, P, Loi, S, Salgado, R, and Specht Stovgaard, E
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- 2023
10. Spatial analyses of immune cell infiltration in cancer: current methods and future directions. A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer
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Page, DB, Broeckx, G, Jahangir, CA, Jahangir, C, Verbandt, S, Gupta, RR, Thagaard, J, Khiroya, R, Kos, Z, Abduljabbar, K, Acosta Haab, G, Acs, B, Almeida, JS, Alvarado-Cabrero, I, Azmoudeh-Ardalan, F, Badve, S, Baharun, NB, Bellolio, ER, Bheemaraju, V, Blenman, KRM, Botinelly Mendonca Fujimoto, L, Burgues, O, Cheang, MCU, Ciompi, F, Cooper, LAD, Coosemans, A, Corredor, G, Dantas Portela, FL, Deman, F, Demaria, S, Dudgeon, SN, Elghazawy, M, Ely, S, Fernandez-Martin, C, Fineberg, S, Fox, SB, Gallagher, WM, Giltnane, JM, Gnjatic, S, Gonzalez-Ericsson, P, Grigoriadis, A, Halama, N, Hanna, MG, Harbhajanka, A, Hardas, A, Hart, SN, Hartman, J, Hewitt, S, Hida, A, Horlings, HM, Husain, Z, Hytopoulos, E, Irshad, S, Janssen, EAM, Kahila, M, Kataoka, TR, Kawaguchi, K, Kharidehal, D, Khramtsov, A, Kiraz, U, Kirtani, P, Kodach, LL, Korski, K, Kovacs, A, Laenkholm, A-V, Lang-Schwarz, C, Larsimont, D, Lennerz, JK, Lerousseau, M, Li, X, Ly, A, Madabhushi, A, Maley, SK, Manur Narasimhamurthy, V, Marks, DK, McDonald, ES, Mehrotra, R, Michiels, S, Minhas, FUAA, Mittal, S, Moore, DA, Mushtaq, S, Nighat, H, Papathomas, T, Penault-Llorca, F, Perera, RD, Pinard, CJ, Pinto-Cardenas, JC, Pruneri, G, Pusztai, L, Rahman, A, Rajpoot, NM, Rapoport, BL, Rau, TT, Reis-Filho, JS, Ribeiro, JM, Rimm, D, Salomon, A-V, Salto-Tellez, M, Saltz, J, Sayed, S, Siziopikou, KP, Sotiriou, C, Stenzinger, A, Sughayer, MA, Sur, D, Symmans, F, Tanaka, S, Taxter, T, Tejpar, S, Teuwen, J, Thompson, EA, Tramm, T, Tran, WT, van Der Laak, J, van Diest, PJ, Verghese, GE, Viale, G, Vieth, M, Wahab, N, Walter, T, Waumans, Y, Wen, HY, Yang, W, Yuan, Y, Adams, S, Bartlett, JMS, Loibl, S, Denkert, C, Savas, P, Loi, S, Salgado, R, Specht Stovgaard, E, Akturk, G, Bouchmaa, N, Page, DB, Broeckx, G, Jahangir, CA, Jahangir, C, Verbandt, S, Gupta, RR, Thagaard, J, Khiroya, R, Kos, Z, Abduljabbar, K, Acosta Haab, G, Acs, B, Almeida, JS, Alvarado-Cabrero, I, Azmoudeh-Ardalan, F, Badve, S, Baharun, NB, Bellolio, ER, Bheemaraju, V, Blenman, KRM, Botinelly Mendonca Fujimoto, L, Burgues, O, Cheang, MCU, Ciompi, F, Cooper, LAD, Coosemans, A, Corredor, G, Dantas Portela, FL, Deman, F, Demaria, S, Dudgeon, SN, Elghazawy, M, Ely, S, Fernandez-Martin, C, Fineberg, S, Fox, SB, Gallagher, WM, Giltnane, JM, Gnjatic, S, Gonzalez-Ericsson, P, Grigoriadis, A, Halama, N, Hanna, MG, Harbhajanka, A, Hardas, A, Hart, SN, Hartman, J, Hewitt, S, Hida, A, Horlings, HM, Husain, Z, Hytopoulos, E, Irshad, S, Janssen, EAM, Kahila, M, Kataoka, TR, Kawaguchi, K, Kharidehal, D, Khramtsov, A, Kiraz, U, Kirtani, P, Kodach, LL, Korski, K, Kovacs, A, Laenkholm, A-V, Lang-Schwarz, C, Larsimont, D, Lennerz, JK, Lerousseau, M, Li, X, Ly, A, Madabhushi, A, Maley, SK, Manur Narasimhamurthy, V, Marks, DK, McDonald, ES, Mehrotra, R, Michiels, S, Minhas, FUAA, Mittal, S, Moore, DA, Mushtaq, S, Nighat, H, Papathomas, T, Penault-Llorca, F, Perera, RD, Pinard, CJ, Pinto-Cardenas, JC, Pruneri, G, Pusztai, L, Rahman, A, Rajpoot, NM, Rapoport, BL, Rau, TT, Reis-Filho, JS, Ribeiro, JM, Rimm, D, Salomon, A-V, Salto-Tellez, M, Saltz, J, Sayed, S, Siziopikou, KP, Sotiriou, C, Stenzinger, A, Sughayer, MA, Sur, D, Symmans, F, Tanaka, S, Taxter, T, Tejpar, S, Teuwen, J, Thompson, EA, Tramm, T, Tran, WT, van Der Laak, J, van Diest, PJ, Verghese, GE, Viale, G, Vieth, M, Wahab, N, Walter, T, Waumans, Y, Wen, HY, Yang, W, Yuan, Y, Adams, S, Bartlett, JMS, Loibl, S, Denkert, C, Savas, P, Loi, S, Salgado, R, Specht Stovgaard, E, Akturk, G, and Bouchmaa, N
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- 2023
11. Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: a report of the international immuno-oncology biomarker working group.
- Author
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Thagaard, J., Broeckx, G., Page, D.B., Jahangir, C.A., Verbandt, S., Kos, Z., Gupta, R., Khiroya, R., AbdulJabbar, K., Haab, G.A., Acs, B., Akturk, G., Almeida, J.S., Alvarado-Cabrero, I., Amgad, M., Azmoudeh-Ardalan, F., Badve, S., Baharun, N.B., Balslev, E., Bellolio, E.R., Bheemaraju, V., Blenman, K.R., Botinelly Mendonça Fujimoto, L., Bouchmaa, N., Burgues, O., Chardas, A., Chon U Cheang, M., Ciompi, F., Cooper, L.A., Coosemans, A., Corredor, G., Dahl, A.B., Dantas Portela, F.L., Deman, F., Demaria, S., Doré Hansen, J., Dudgeon, S.N., Ebstrup, T., Elghazawy, M., Fernandez-Martín, C., Fox, S.B., Gallagher, W.M., Giltnane, J.M., Gnjatic, S., Gonzalez-Ericsson, P.I., Grigoriadis, A., Halama, N., Hanna, M.G., Harbhajanka, A., Hart, S.N., Hartman, J., Hauberg, S., Hewitt, S., Hida, A.I., Horlings, H.M., Husain, Z., Hytopoulos, E., Irshad, S., Janssen, E.a, Kahila, M., Kataoka, T.R., Kawaguchi, K., Kharidehal, D., Khramtsov, A.I., Kiraz, U., Kirtani, P., Kodach, L.L., Korski, K., Kovács, A., Laenkholm, A.V., Lang-Schwarz, C., Larsimont, D., Lennerz, J.K., Lerousseau, M., Li, Xiaoxian, Ly, Amy, Madabhushi, A., Maley, S.K., Manur Narasimhamurthy, V., Marks, D.K., McDonald, E.S., Mehrotra, R., Michiels, S., Minhas, F.U.A.A., Mittal, S., Moore, D.A., Mushtaq, S., Nighat, H., Papathomas, T., Penault-Llorca, F., Perera, R.D., Pinard, C.J., Pinto-Cardenas, J.C., Pruneri, G., Pusztai, L., Rahman, A., Rajpoot, N.M., Rapoport, B.L., Rau, T.T., Reis-Filho, J.S., Ribeiro, J.M., Rimm, D., Roslind, A., Vincent-Salomon, A., Salto-Tellez, M., Saltz, J., Sayed, S., Scott, E., Siziopikou, K.P., Sotiriou, C., Stenzinger, A., Sughayer, M.A., Sur, D., Fineberg, S., Symmans, F., Tanaka, S., Taxter, T., Tejpar, S., Teuwen, J., Thompson, E.A., Tramm, T., Tran, W.T., Laak, J.A.W.M. van der, Diest, P.J. van, Verghese, G.E., Viale, G., Vieth, M., Wahab, N., Walter, T., Waumans, Y., Wen, H.Y., Yang, W, Yuan, Y., Zin, R.M., Adams, S., Bartlett, J., Loibl, S., Denkert, C., Savas, P., Loi, S., Salgado, R., Specht Stovgaard, E., Thagaard, J., Broeckx, G., Page, D.B., Jahangir, C.A., Verbandt, S., Kos, Z., Gupta, R., Khiroya, R., AbdulJabbar, K., Haab, G.A., Acs, B., Akturk, G., Almeida, J.S., Alvarado-Cabrero, I., Amgad, M., Azmoudeh-Ardalan, F., Badve, S., Baharun, N.B., Balslev, E., Bellolio, E.R., Bheemaraju, V., Blenman, K.R., Botinelly Mendonça Fujimoto, L., Bouchmaa, N., Burgues, O., Chardas, A., Chon U Cheang, M., Ciompi, F., Cooper, L.A., Coosemans, A., Corredor, G., Dahl, A.B., Dantas Portela, F.L., Deman, F., Demaria, S., Doré Hansen, J., Dudgeon, S.N., Ebstrup, T., Elghazawy, M., Fernandez-Martín, C., Fox, S.B., Gallagher, W.M., Giltnane, J.M., Gnjatic, S., Gonzalez-Ericsson, P.I., Grigoriadis, A., Halama, N., Hanna, M.G., Harbhajanka, A., Hart, S.N., Hartman, J., Hauberg, S., Hewitt, S., Hida, A.I., Horlings, H.M., Husain, Z., Hytopoulos, E., Irshad, S., Janssen, E.a, Kahila, M., Kataoka, T.R., Kawaguchi, K., Kharidehal, D., Khramtsov, A.I., Kiraz, U., Kirtani, P., Kodach, L.L., Korski, K., Kovács, A., Laenkholm, A.V., Lang-Schwarz, C., Larsimont, D., Lennerz, J.K., Lerousseau, M., Li, Xiaoxian, Ly, Amy, Madabhushi, A., Maley, S.K., Manur Narasimhamurthy, V., Marks, D.K., McDonald, E.S., Mehrotra, R., Michiels, S., Minhas, F.U.A.A., Mittal, S., Moore, D.A., Mushtaq, S., Nighat, H., Papathomas, T., Penault-Llorca, F., Perera, R.D., Pinard, C.J., Pinto-Cardenas, J.C., Pruneri, G., Pusztai, L., Rahman, A., Rajpoot, N.M., Rapoport, B.L., Rau, T.T., Reis-Filho, J.S., Ribeiro, J.M., Rimm, D., Roslind, A., Vincent-Salomon, A., Salto-Tellez, M., Saltz, J., Sayed, S., Scott, E., Siziopikou, K.P., Sotiriou, C., Stenzinger, A., Sughayer, M.A., Sur, D., Fineberg, S., Symmans, F., Tanaka, S., Taxter, T., Tejpar, S., Teuwen, J., Thompson, E.A., Tramm, T., Tran, W.T., Laak, J.A.W.M. van der, Diest, P.J. van, Verghese, G.E., Viale, G., Vieth, M., Wahab, N., Walter, T., Waumans, Y., Wen, H.Y., Yang, W, Yuan, Y., Zin, R.M., Adams, S., Bartlett, J., Loibl, S., Denkert, C., Savas, P., Loi, S., Salgado, R., and Specht Stovgaard, E.
- Abstract
01 augustus 2023, Contains fulltext : 296181.pdf (Publisher’s version ) (Open Access), The clinical significance of the tumor-immune interaction in breast cancer is now established, and tumor-infiltrating lymphocytes (TILs) have emerged as predictive and prognostic biomarkers for patients with triple-negative (estrogen receptor, progesterone receptor, and HER2-negative) breast cancer and HER2-positive breast cancer. How computational assessments of TILs might complement manual TIL assessment in trial and daily practices is currently debated. Recent efforts to use machine learning (ML) to automatically evaluate TILs have shown promising results. We review state-of-the-art approaches and identify pitfalls and challenges of automated TIL evaluation by studying the root cause of ML discordances in comparison to manual TIL quantification. We categorize our findings into four main topics: (1) technical slide issues, (2) ML and image analysis aspects, (3) data challenges, and (4) validation issues. The main reason for discordant assessments is the inclusion of false-positive areas or cells identified by performance on certain tissue patterns or design choices in the computational implementation. To aid the adoption of ML for TIL assessment, we provide an in-depth discussion of ML and image analysis, including validation issues that need to be considered before reliable computational reporting of TILs can be incorporated into the trial and routine clinical management of patients with triple-negative breast cancer. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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- 2023
12. Spatial analyses of immune cell infiltration in cancer: current methods and future directions. A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer.
- Author
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Page, D.B., Broeckx, G., Jahangir, C.A., Verbandt, S., Gupta, R.R., Thagaard, J., Khiroya, R., Kos, Z., AbdulJabbar, K., Acosta Haab, G., Acs, B., Akturk, G., Almeida, J.S., Alvarado-Cabrero, I., Azmoudeh-Ardalan, F., Badve, S., Baharun, N.B., Bellolio, E.R., Bheemaraju, V., Blenman, K.R., Botinelly Mendonça Fujimoto, L., Bouchmaa, N., Burgues, O., Cheang, M.C.U., Ciompi, F., Cooper, L.A., Coosemans, A., Corredor, G., Dantas Portela, F.L., Deman, F., Demaria, S., Dudgeon, S.N., Elghazawy, M., Ely, S., Fernandez-Martín, C., Fineberg, S., Fox, S.B., Gallagher, W.M., Giltnane, J.M., Gnjatic, S., Gonzalez-Ericsson, P.I., Grigoriadis, A., Halama, N., Hanna, M.G., Harbhajanka, A., Hardas, A., Hart, S.N., Hartman, J., Hewitt, S., Hida, A.I., Horlings, H.M., Husain, Z., Hytopoulos, E., Irshad, S., Janssen, E.a, Kahila, M., Kataoka, T.R., Kawaguchi, K., Kharidehal, D., Khramtsov, A.I., Kiraz, U., Kirtani, P., Kodach, L.L., Korski, K., Kovács, A., Laenkholm, A.V., Lang-Schwarz, C., Larsimont, D., Lennerz, J.K., Lerousseau, M., Li, Xiaoxian, Ly, Amy, Madabhushi, A., Maley, S.K., Manur Narasimhamurthy, V., Marks, D.K., McDonald, E.S., Mehrotra, R., Michiels, S., Minhas, F.U.A.A., Mittal, S., Moore, D.A., Mushtaq, S., Nighat, H., Papathomas, T., Penault-Llorca, F., Perera, R.D., Pinard, C.J., Pinto-Cardenas, J.C., Pruneri, G., Pusztai, L., Rahman, A., Rajpoot, N.M., Rapoport, B.L., Rau, T.T., Reis-Filho, J.S., Ribeiro, J.M., Rimm, D., Vincent-Salomon, A., Salto-Tellez, M., Saltz, J., Sayed, S., Siziopikou, K.P., Sotiriou, C., Stenzinger, A., Sughayer, M.A., Sur, D., Symmans, F., Tanaka, S., Taxter, T., Tejpar, S., Teuwen, J., Thompson, E.A., Tramm, T., Tran, W.T., Laak, J.A.W.M. van der, Diest, P.J. van, Verghese, G.E., Viale, G., Vieth, M., Wahab, N., Walter, T., Waumans, Y., Wen, H.Y., Yang, W, Yuan, Y., Adams, S., Bartlett, J.M.S., Loibl, S., Denkert, C., Savas, P., Loi, S., Salgado, R., Specht Stovgaard, E., Page, D.B., Broeckx, G., Jahangir, C.A., Verbandt, S., Gupta, R.R., Thagaard, J., Khiroya, R., Kos, Z., AbdulJabbar, K., Acosta Haab, G., Acs, B., Akturk, G., Almeida, J.S., Alvarado-Cabrero, I., Azmoudeh-Ardalan, F., Badve, S., Baharun, N.B., Bellolio, E.R., Bheemaraju, V., Blenman, K.R., Botinelly Mendonça Fujimoto, L., Bouchmaa, N., Burgues, O., Cheang, M.C.U., Ciompi, F., Cooper, L.A., Coosemans, A., Corredor, G., Dantas Portela, F.L., Deman, F., Demaria, S., Dudgeon, S.N., Elghazawy, M., Ely, S., Fernandez-Martín, C., Fineberg, S., Fox, S.B., Gallagher, W.M., Giltnane, J.M., Gnjatic, S., Gonzalez-Ericsson, P.I., Grigoriadis, A., Halama, N., Hanna, M.G., Harbhajanka, A., Hardas, A., Hart, S.N., Hartman, J., Hewitt, S., Hida, A.I., Horlings, H.M., Husain, Z., Hytopoulos, E., Irshad, S., Janssen, E.a, Kahila, M., Kataoka, T.R., Kawaguchi, K., Kharidehal, D., Khramtsov, A.I., Kiraz, U., Kirtani, P., Kodach, L.L., Korski, K., Kovács, A., Laenkholm, A.V., Lang-Schwarz, C., Larsimont, D., Lennerz, J.K., Lerousseau, M., Li, Xiaoxian, Ly, Amy, Madabhushi, A., Maley, S.K., Manur Narasimhamurthy, V., Marks, D.K., McDonald, E.S., Mehrotra, R., Michiels, S., Minhas, F.U.A.A., Mittal, S., Moore, D.A., Mushtaq, S., Nighat, H., Papathomas, T., Penault-Llorca, F., Perera, R.D., Pinard, C.J., Pinto-Cardenas, J.C., Pruneri, G., Pusztai, L., Rahman, A., Rajpoot, N.M., Rapoport, B.L., Rau, T.T., Reis-Filho, J.S., Ribeiro, J.M., Rimm, D., Vincent-Salomon, A., Salto-Tellez, M., Saltz, J., Sayed, S., Siziopikou, K.P., Sotiriou, C., Stenzinger, A., Sughayer, M.A., Sur, D., Symmans, F., Tanaka, S., Taxter, T., Tejpar, S., Teuwen, J., Thompson, E.A., Tramm, T., Tran, W.T., Laak, J.A.W.M. van der, Diest, P.J. van, Verghese, G.E., Viale, G., Vieth, M., Wahab, N., Walter, T., Waumans, Y., Wen, H.Y., Yang, W, Yuan, Y., Adams, S., Bartlett, J.M.S., Loibl, S., Denkert, C., Savas, P., Loi, S., Salgado, R., and Specht Stovgaard, E.
- Abstract
01 augustus 2023, Contains fulltext : 296131.pdf (Publisher’s version ) (Closed access), Modern histologic imaging platforms coupled with machine learning methods have provided new opportunities to map the spatial distribution of immune cells in the tumor microenvironment. However, there exists no standardized method for describing or analyzing spatial immune cell data, and most reported spatial analyses are rudimentary. In this review, we provide an overview of two approaches for reporting and analyzing spatial data (raster versus vector-based). We then provide a compendium of spatial immune cell metrics that have been reported in the literature, summarizing prognostic associations in the context of a variety of cancers. We conclude by discussing two well-described clinical biomarkers, the breast cancer stromal tumor infiltrating lymphocytes score and the colon cancer Immunoscore, and describe investigative opportunities to improve clinical utility of these spatial biomarkers. © 2023 The Pathological Society of Great Britain and Ireland.
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- 2023
13. Tumor infiltrating lymphocyte stratification of prognostic staging of early-stage triple negative breast cancer
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Loi, S, Salgado, R, Adams, S, Pruneri, G, Francis, PA, Lacroix-Triki, M, Joensuu, H, Dieci, MV, Badve, S, Demaria, S, Gray, R, Munzone, E, Drubay, D, Lemonnier, J, Sotiriou, C, Kellokumpu-Lehtinen, PL, Vingiani, A, Gray, K, Andre, F, Denkert, C, Piccart, M, Roblin, E, Michiels, S, Loi, S, Salgado, R, Adams, S, Pruneri, G, Francis, PA, Lacroix-Triki, M, Joensuu, H, Dieci, MV, Badve, S, Demaria, S, Gray, R, Munzone, E, Drubay, D, Lemonnier, J, Sotiriou, C, Kellokumpu-Lehtinen, PL, Vingiani, A, Gray, K, Andre, F, Denkert, C, Piccart, M, Roblin, E, and Michiels, S
- Abstract
The importance of integrating biomarkers into the TNM staging has been emphasized in the 8th Edition of the American Joint Committee on Cancer (AJCC) Staging system. In a pooled analysis of 2148 TNBC-patients in the adjuvant setting, TILs are found to strongly up and downstage traditional pathological-staging in the Pathological and Clinical Prognostic Stage Groups from the AJJC 8th edition Cancer Staging System. This suggest that clinical and research studies on TNBC should take TILs into account in addition to stage, as for example patients with stage II TNBC and high TILs have a better outcome than patients with stage I and low TILs.
- Published
- 2022
14. Breast Cancer and Transplantation
- Author
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Wong, G., Au, E., Badve, S. V., and Lim, W. H.
- Published
- 2017
- Full Text
- View/download PDF
15. The tale of TILs in breast cancer: A report from The International Immuno-Oncology Biomarker Working Group
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El Bairi, K., Haynes, H. R., Blackley, E., Fineberg, S., Shear, J., Turner, S., de Freitas, J. R., Sur, D., Amendola, L. C., Gharib, M., Kallala, A., Arun, I., Azmoudeh-Ardalan, F., Fujimoto, L., Sua, L. F., Liu, S. -W., Lien, H. -C., Kirtani, P., Balancin, M., El Attar, H., Guleria, P., Yang, W., Shash, E., Chen, I. -C., Bautista, V., Do Prado Moura, J. F., Rapoport, B. L., Castaneda, C., Spengler, E., Acosta-Haab, G., Frahm, I., Sanchez, J., Castillo, M., Bouchmaa, N., Md Zin, R. R., Shui, R., Onyuma, T., Husain, Z., Willard-Gallo, K., Coosemans, A., Perez, E. A., Provenzano, E., Ericsson, P. G., Richardet, E., Mehrotra, R., Sarancone, S., Ehinger, A., Rimm, D. L., Bartlett, J. M. S., Viale, G., Denkert, C., Hida, A. I., Sotiriou, C., Loibl, S., Hewitt, S. M., Badve, S., Symmans, W. F., Kim, R. S., Pruneri, G., Goel, S., Francis, P. A., Inurrigarro, G., Yamaguchi, R., Garcia-Rivello, H., Horlings, H., Afqir, S., Salgado, R., Adams, S., Kok, M., Dieci, M. V., Michiels, S., Demaria, S., Loi, S., Schelfhout, V., Arbzadeh, E., Bondanar, A., Reyes, S. A. G., Ruz, J. R., Kang, J., Xiang, L., Zimovjanova, M., Togores, P., Ozturk, T., Patil, A., Corpa, M., Whitehouse, A., Tan, B., de Paula, A., Rossetti, C., Lang-Schwarz, C., Mahon, S., Giacometti, C., Linderholm, B., Deman, F., Montagna, G., Gong, G., Pavcovich, M., Chaer, Y., Cabrero, I. A., de Brito, M. L., Ilieva, N., Fulop, A., Souza, M., Bilancia, D., Idowu, M., Johri, R., Szpor, J., Bachani, L., Schmitt, F., Giannotti, M., Kurebayashi, Y., Ramirez, B. E. A., Salido, E., Bortesi, L., Bonetto, S., Elomina, K., Lopez, P., Sharma, V., Edirisinghe, A., Mathur, D., Sahay, A., Mouloud, M. A., Giang, C. H., Mukolwe, E., Kiruka, E., Samberg, N., Abe, N., Brown, M., Millar, E., X. B., Li, Yuan, Z., Pasupathy, A., Miele, R., Luff, R., e Porfirio, M. M. A., Ajemba, O., Soni, R., Orvieto, E., Dimaio, M., Thomas, J., Merard, R., Subramaniam, M. M., Apolinario, T., Preda, O., Preda, R., Makanga, A., Maior, M. S., Li, L., Saghatchian, M., Saurine, T., Janssen, E., Cochran, J., Vlada, N., Cappellesso, R., Elfer, K., Hollick, M., Desai, S., Oner, G., Schreurs, A., Liu, S., Perera, R., Mercurio, P., Garcia, F., Hosny, K., Matsumoto, H., van Deurzen, C., Bianchini, G., Coban, I., Jahangir, A., Rahman, A., Stover, D., Luz, P., Martel, A., Waumans, Y., Stenzinger, A., Cortes, J., Dimitrova, P., Nauwelaers, I., Velasco, M., Fan, F., Akturk, G., Firer, M., Roxanis, I., Schneck, M., Wen, H., Cockenpot, V., Konstantinov, A., Calatrava, A., Vidya, M. N., Choi, H. J., Jank, P., Ciinen, A. H., Sabanathan, D., Floris, G., Hoeflmayer, D., Hamada, T., Laudus, N., Grigoriadis, A., Porcellato, I., Acs, B., Miglietta, F., Parrodi, J., Clunie, D., Calhoun, B., F. -I., Lu, Lefevre, A., Tabbarah, S., Tran, W., Garcia-murillas, I., Jelinic, P., Boeckx, C., Souza, S., Cebollero, M. C., Felip, E., Rendon, J. L. S., El Gabry, E., Saltz, J., Bria, E., Garufi, G., Hartman, J., Sebastian, M., Olofsson, H., Kooreman, L., Cucherousset, J., Mathieu, M. -C., Ballesteros-Merino, C., Siziopikou, P., Fong, J., Klein, M., Qulis, I. R. I., Wesseling, J., Bellolio, E., Araya, J. C., Naber, S., Cheang, M., Castellano, I., Ales, A., Laenkholm, A. -V., Kulka, J., Quinn, C., Sapino, A., Amendoeira, I., Marchio, C., Braybrooke, J., Vincent-Salomon, A., Korski, K. P., Sofopoulos, M., Stovgaard, E. I. S., Bianchi, S., Bago-Horvath, Z., Yu, C., Regitnig, P., Hall, S., Kos, Z., Sant, S., Tille, J. -C., Gallas, B., Bethmann, D., Savas, P., Mendes, L., Soler, T., van Seijen, M., Gruosso, T., Quintana, A., Giltnane, J., Van den Eynden, G., Duregon, E., de Cabo, R., Recamo, P. C., Gaboury, L., Zimmerman, J., Pop, C. S., Wernicke, A., Williams, D., Gill, A., Solomon, B., Thapa, B., Farshid, G., Gilham, L., Christie, M., O'Toole, S., Hendry, S., Fox, S. B., Luen, S. J., Lakhani, S. R., Fuchs, T., John, T., Brcic, I., Hainfellner, J., Sigurd, L., Preusser, M., Poortmans, P., Decaluwe, A., Carey, C., Colpaert, C., Larsimont, D., Peeters, D., Broeckx, G., van de Vijver, K., Buisseret, L., Dirix, L., Hertoghs, M., Piccart, M., Ignatiadis, M., Van Bockstal, M., Sirtaine, N., Vermeulen, P., de Wind, R., Declercq, S., Gevaert, T., Haibe-Kans, B., Nelson, B. H., Watson, P. H., Leung, S., Nielsen, T., Shi, L., Balslev, E., Thagaard, J., Almangush, A., Makitie, A., Joensuu, H., Lundin, J., Drubay, D., Roblin, E., Andre, F., Penault-Llorca, F., Lemonnier, J., Adam, J., Lacroix-Triki, M., Ternes, N., Radosevic-Robin, N., Klaushen, F., Weber, K., Harbeck, N., Gluz, O., Wienert, S., Cserni, G., Vingiani, A., Criscitiello, C., Solinas, C., Curigliano, G., Konishi, E., Suzuki, E., Yoshikawa, K., Kawaguchi, K., Takada, M., Toi, M., Ishida, M., Shibata, N., Saji, S., Kogawa, T., Sakatani, T., Okamoto, T., Moriya, T., Kataoka, T., Shimoi, T., Sugie, T., Mukohara, T., Shu, Y., Kikawa, Y., Kozuka, Y., Sayed, S., Rahayu, R., Ramsaroop, R., Senkus-Konefka, E., Chmielik, E., Cardoso, F., Ribeiro, J., Chan, J., Dent, R., Martin, M., Hagen, C., Guerrero, A., Rojo, F., Comerma, L., Nuciforo, P., Serrano, V. V., Camaea, V. P., Steenbruggen, T., Ciompi, F., Nederlof, I., Jan, Hudecek, van der Laak, J., van den Berg, J., Voorwerk, L., van de Vijver, M., de Maaker, M., Linn, S., Mckenzie, H., Somaiah, N., Tutt, A., Swanton, C., Hiley, C., Moore, D. A., Hall, J. A., Le Quesne, J., Jabbar, K. A., al Bakir, M., Hills, R., Irshad, S., Yuan, Y., Li, Z., Liu, M., Klein, J., Fadare, O., Thompson, A., Lazar, A. J., Gown, A., Lo, A., Garrido Castro, A. C., Madabhushi, A., Moreira, A., Richardson, A., Beck, A. H., Bellizzi, A. M., Wolff, A., Harbhajanka, A., Sharma, A., Cimino-Mathews, A., Srinivasan, A., Singh, B., Chennubhotla, C. S., Chauhan, C., Dillon, D. A., Zardavas, D., Johnson, D. B., Thompson, A. E., Brogi, E., Reisenbichler, E., Huang, E., Hirsch, F. R., Mcarthur, H., Ziai, J., Brock, J., Kerner, J., Zha, J., Lennerz, J. K., Carter, J. M., Reis-Filho, J., Sparano, J., Balko, J. M., Pogue-Geile, K., Steele, K. E., Blenman, K. R. M., Allison, K. H., Pusztai, L., Cooper, L., Estrada, V. M., Flowers, M., Robson, M., Rebelatto, M. C., Hanna, M. G., Goetz, M. P., Khojasteh, M., Sanders, M. E., Regan, M. M., Misialek, M., Amgad, M., Tung, N., Singh, R., Huang, R., Pierce, R. H., Leon-Ferre, R., Swain, S., Ely, S., Kim, S. -R., Bedri, S., Paik, S., Schnitt, S., D'Alfons, T., Kurkure, U., Bossuyt, V., Tong, W., Wang, Y., Dos Anjos, C. H., Gaire, F., Van Diest, P. J., El Bairi, Khalid [0000-0002-8414-4145], de Freitas, Juliana Ribeiro [0000-0003-4978-7273], Sur, Daniel [0000-0002-0926-4614], Amendola, Luis Claudio [0000-0002-6404-450X], Azmoudeh-Ardalan, Farid [0000-0003-4701-0532], Kirtani, Pawan [0000-0002-2343-7016], Yang, Wenxian [0000-0002-5349-9680], Castillo, Miluska [0000-0002-0111-3176], Provenzano, Elena [0000-0003-3345-3965], Mehrotra, Ravi [0000-0001-9453-1408], Ehinger, Anna [0000-0001-9225-7396], Rimm, David L [0000-0001-5820-4397], Bartlett, John MS [0000-0002-0347-3888], Denkert, Carsten [0000-0002-2249-0982], Hida, Akira I [0000-0002-4486-8819], Sotiriou, Christos [0000-0002-5745-9977], Hewitt, Stephen M [0000-0001-8283-1788], Badve, Sunil [0000-0001-8861-9980], Symmans, William Fraser [0000-0002-1526-184X], Goel, Shom [0000-0001-8329-9084], Francis, Prudence A [0000-0002-7207-9286], Horlings, Hugo [0000-0003-4782-8828], Salgado, Roberto [0000-0002-1110-3801], Demaria, Sandra [0000-0003-4426-0499], Loi, Sherene [0000-0001-6137-9171], Apollo - University of Cambridge Repository, UCL - SSS/IREC/SLUC - Pôle St.-Luc, UCL - (SLuc) Service d'anatomie pathologique, Imagerie Moléculaire et Stratégies Théranostiques (IMoST), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Clermont Auvergne (UCA), Centre Jean Perrin [Clermont-Ferrand] (UNICANCER/CJP), and UNICANCER
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Oncology ,medicine.medical_treatment ,[SDV]Life Sciences [q-bio] ,TRASTUZUMAB ,Improved survival ,MICROENVIRONMENT ,Review Article ,SUBTYPES ,NEOADJUVANT CHEMOTHERAPY ,0302 clinical medicine ,Breast cancer ,Ecology,Evolution & Ethology ,PROGNOSTIC-SIGNIFICANCE ,Medicine and Health Sciences ,Pharmacology (medical) ,TUMOR-INFILTRATING LYMPHOCYTES ,Stage (cooking) ,RC254-282 ,Chemical Biology & High Throughput ,0303 health sciences ,Human Biology & Physiology ,Genome Integrity & Repair ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,ASSOCIATION ,3. Good health ,030220 oncology & carcinogenesis ,Biomarker (medicine) ,Life Sciences & Biomedicine ,Genetics & Genomics ,medicine.medical_specialty ,chemical and pharmacologic phenomena ,International Immuno-Oncology Biomarker Working Group ,Predictive markers ,03 medical and health sciences ,Signalling & Oncogenes ,SDG 3 - Good Health and Well-being ,Internal medicine ,692/53/2423 ,medicine ,Radiology, Nuclear Medicine and imaging ,In patient ,030304 developmental biology ,Computational & Systems Biology ,Science & Technology ,IDENTIFICATION ,business.industry ,review-article ,Cancer ,03.01. Általános orvostudomány ,Immunotherapy ,Tumour Biology ,medicine.disease ,PREDICTIVE-VALUE ,692/4028/67/1347 ,Programmed death 1 ,business ,FREE SURVIVAL - Abstract
The advent of immune-checkpoint inhibitors (ICI) in modern oncology has significantly improved survival in several cancer settings. A subgroup of women with breast cancer (BC) has immunogenic infiltration of lymphocytes with expression of programmed death-ligand 1 (PD-L1). These patients may potentially benefit from ICI targeting the programmed death 1 (PD-1)/PD-L1 signaling axis. The use of tumor-infiltrating lymphocytes (TILs) as predictive and prognostic biomarkers has been under intense examination. Emerging data suggest that TILs are associated with response to both cytotoxic treatments and immunotherapy, particularly for patients with triple-negative BC. In this review from The International Immuno-Oncology Biomarker Working Group, we discuss (a) the biological understanding of TILs, (b) their analytical and clinical validity and efforts toward the clinical utility in BC, and (c) the current status of PD-L1 and TIL testing across different continents, including experiences from low-to-middle-income countries, incorporating also the view of a patient advocate. This information will help set the stage for future approaches to optimize the understanding and clinical utilization of TIL analysis in patients with BC. ispartof: NPJ BREAST CANCER vol:7 issue:1 ispartof: location:United States status: published
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- 2021
16. The evaluation of tumor-infiltrating lymphocytes (TILs) in breast cancer: recommendations by an International TILs Working Group 2014
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Salgado, R., Denkert, C., Demaria, S., Sirtaine, N., Klauschen, F., Pruneri, G., Wienert, S., Van den Eynden, G., Baehner, F. L., Penault-Llorca, F., Perez, E. A., Thompson, E. A., Symmans, W. F., Richardson, A. L., Brock, J., Criscitiello, C., Bailey, H., Ignatiadis, M., Floris, G., Sparano, J., Kos, Z., Nielsen, T., Rimm, D. L., Allison, K. H., Reis-Filho, J. S., Loibl, S., Sotiriou, C., Viale, G., Badve, S., Adams, S., Willard-Gallo, K., and Loi, S.
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- 2015
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17. The tale of TILs in breast cancer: A report from The International Immuno-Oncology Biomarker Working Group
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El Bairi, K, Haynes, HR, Blackley, E, Fineberg, S, Shear, J, Turner, S, de Freitas, JR, Sur, D, Amendola, LC, Gharib, M, Kallala, A, Arun, I, Azmoudeh-Ardalan, F, Fujimoto, L, Sua, LF, Liu, S-W, Lien, H-C, Kirtani, P, Balancin, M, El Attar, H, Guleria, P, Yang, W, Shash, E, Chen, I-C, Bautista, V, Do Prado Moura, JF, Rapoport, BL, Castaneda, C, Spengler, E, Acosta-Haab, G, Frahm, I, Sanchez, J, Castillo, M, Bouchmaa, N, Zin, RRM, Shui, R, Onyuma, T, Husain, Z, Willard-Gallo, K, Coosemans, A, Perez, EA, Provenzano, E, Ericsson, PG, Richardet, E, Mehrotra, R, Sarancone, S, Ehinger, A, Rimm, DL, Bartlett, JMS, Viale, G, Denkert, C, Hida, AI, Sotiriou, C, Loibl, S, Hewitt, SM, Badve, S, Symmans, WF, Kim, RS, Pruneri, G, Goel, S, Francis, PA, Inurrigarro, G, Yamaguchi, R, Garcia-Rivello, H, Horlings, H, Afqir, S, Salgado, R, Adams, S, Kok, M, Dieci, MV, Michiels, S, Demaria, S, Loi, S, El Bairi, K, Haynes, HR, Blackley, E, Fineberg, S, Shear, J, Turner, S, de Freitas, JR, Sur, D, Amendola, LC, Gharib, M, Kallala, A, Arun, I, Azmoudeh-Ardalan, F, Fujimoto, L, Sua, LF, Liu, S-W, Lien, H-C, Kirtani, P, Balancin, M, El Attar, H, Guleria, P, Yang, W, Shash, E, Chen, I-C, Bautista, V, Do Prado Moura, JF, Rapoport, BL, Castaneda, C, Spengler, E, Acosta-Haab, G, Frahm, I, Sanchez, J, Castillo, M, Bouchmaa, N, Zin, RRM, Shui, R, Onyuma, T, Husain, Z, Willard-Gallo, K, Coosemans, A, Perez, EA, Provenzano, E, Ericsson, PG, Richardet, E, Mehrotra, R, Sarancone, S, Ehinger, A, Rimm, DL, Bartlett, JMS, Viale, G, Denkert, C, Hida, AI, Sotiriou, C, Loibl, S, Hewitt, SM, Badve, S, Symmans, WF, Kim, RS, Pruneri, G, Goel, S, Francis, PA, Inurrigarro, G, Yamaguchi, R, Garcia-Rivello, H, Horlings, H, Afqir, S, Salgado, R, Adams, S, Kok, M, Dieci, MV, Michiels, S, Demaria, S, and Loi, S
- Abstract
The advent of immune-checkpoint inhibitors (ICI) in modern oncology has significantly improved survival in several cancer settings. A subgroup of women with breast cancer (BC) has immunogenic infiltration of lymphocytes with expression of programmed death-ligand 1 (PD-L1). These patients may potentially benefit from ICI targeting the programmed death 1 (PD-1)/PD-L1 signaling axis. The use of tumor-infiltrating lymphocytes (TILs) as predictive and prognostic biomarkers has been under intense examination. Emerging data suggest that TILs are associated with response to both cytotoxic treatments and immunotherapy, particularly for patients with triple-negative BC. In this review from The International Immuno-Oncology Biomarker Working Group, we discuss (a) the biological understanding of TILs, (b) their analytical and clinical validity and efforts toward the clinical utility in BC, and (c) the current status of PD-L1 and TIL testing across different continents, including experiences from low-to-middle-income countries, incorporating also the view of a patient advocate. This information will help set the stage for future approaches to optimize the understanding and clinical utilization of TIL analysis in patients with BC.
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- 2021
18. Sodium-glucose cotransporter protein-2 (SGLT-2) inhibitors and glucagon-like peptide-1 (GLP-1) receptor agonists for type 2 diabetes: systematic review and network meta-analysis of randomised controlled trials
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Palmer, SC, Tendal, B, Mustafa, RA, Vandvik, PO, Li, S, Hao, Q, Tunnicliffe, D, Ruospo, M, Natale, P, Saglimbene, V, Nicolucci, A, Johnson, DW, Tonelli, M, Rossi, MC, Badve, S, Cho, Y, Nadeau-Fredette, A-C, Burke, M, Faruque, L, Lloyd, A, Ahmad, N, Liu, Y, Tiv, S, Millard, T, Gagliardi, L, Kolanu, N, Barmanray, RD, McMorrow, R, Cortez, AKR, White, H, Chen, X, Zhou, X, Liu, J, Rodriguez, AF, Gonzalez-Colmenero, AD, Wang, Y, Li, L, Sutanto, S, Solis, RC, Gonzalez-Colmenero, FD, Rodriguez-Gutierrez, R, Walsh, M, Guyatt, G, Strippoli, GFM, Palmer, SC, Tendal, B, Mustafa, RA, Vandvik, PO, Li, S, Hao, Q, Tunnicliffe, D, Ruospo, M, Natale, P, Saglimbene, V, Nicolucci, A, Johnson, DW, Tonelli, M, Rossi, MC, Badve, S, Cho, Y, Nadeau-Fredette, A-C, Burke, M, Faruque, L, Lloyd, A, Ahmad, N, Liu, Y, Tiv, S, Millard, T, Gagliardi, L, Kolanu, N, Barmanray, RD, McMorrow, R, Cortez, AKR, White, H, Chen, X, Zhou, X, Liu, J, Rodriguez, AF, Gonzalez-Colmenero, AD, Wang, Y, Li, L, Sutanto, S, Solis, RC, Gonzalez-Colmenero, FD, Rodriguez-Gutierrez, R, Walsh, M, Guyatt, G, and Strippoli, GFM
- Abstract
OBJECTIVE: To evaluate sodium-glucose cotransporter-2 (SGLT-2) inhibitors and glucagon-like peptide-1 (GLP-1) receptor agonists in patients with type 2 diabetes at varying cardiovascular and renal risk. DESIGN: Network meta-analysis. DATA SOURCES: Medline, Embase, and Cochrane CENTRAL up to 11 August 2020. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Randomised controlled trials comparing SGLT-2 inhibitors or GLP-1 receptor agonists with placebo, standard care, or other glucose lowering treatment in adults with type 2 diabetes with follow up of 24 weeks or longer. Studies were screened independently by two reviewers for eligibility, extracted data, and assessed risk of bias. MAIN OUTCOME MEASURES: Frequentist random effects network meta-analysis was carried out and GRADE (grading of recommendations assessment, development, and evaluation) used to assess evidence certainty. Results included estimated absolute effects of treatment per 1000 patients treated for five years for patients at very low risk (no cardiovascular risk factors), low risk (three or more cardiovascular risk factors), moderate risk (cardiovascular disease), high risk (chronic kidney disease), and very high risk (cardiovascular disease and kidney disease). A guideline panel provided oversight of the systematic review. RESULTS: 764 trials including 421 346 patients proved eligible. All results refer to the addition of SGLT-2 inhibitors and GLP-1 receptor agonists to existing diabetes treatment. Both classes of drugs lowered all cause mortality, cardiovascular mortality, non-fatal myocardial infarction, and kidney failure (high certainty evidence). Notable differences were found between the two agents: SGLT-2 inhibitors reduced admission to hospital for heart failure more than GLP-1 receptor agonists, and GLP-1 receptor agonists reduced non-fatal stroke more than SGLT-2 inhibitors (which appeared to have no effect). SGLT-2 inhibitors caused genital infection (high certainty), whereas GLP-1 receptor agon
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- 2021
19. Control of EVI-1 oncogene expression in metastatic breast cancer cells through microRNA miR-22
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Patel, J B, Appaiah, H N, Burnett, R M, Bhat-Nakshatri, P, Wang, G, Mehta, R, Badve, S, Thomson, M J, Hammond, S, Steeg, P, Liu, Y, and Nakshatri, H
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- 2011
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20. Oestrogen-receptor-positive breast cancer: towards bridging histopathological and molecular classifications
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Badve, S. and Nakshatri, H.
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Breast cancer -- Diagnosis ,Breast cancer -- Development and progression ,Genetic markers -- Identification and classification ,Estrogen -- Receptors ,Estrogen -- Measurement ,Estrogen -- Physiological aspects ,Estrogen -- Genetic aspects ,Health - Published
- 2009
21. Forkhead box A1 expression in breast cancer is associated with luminal subtype and good prognosis
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Thorat, M.A., Marchio, C., Morimiya, A., Savage, K., Nakshatri, H., Reis-Filho, J.S., and Badve, S.
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Breast cancer -- Development and progression ,Breast cancer -- Genetic aspects ,Breast cancer -- Research ,DNA binding proteins -- Research ,Gene expression -- Research ,Health - Published
- 2008
22. NF-κB represses E-cadherin expression and enhances epithelial to mesenchymal transition of mammary epithelial cells: potential involvement of ZEB-1 and ZEB-2
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Chua, H L, Bhat-Nakshatri, P, Clare, S E, Morimiya, A, Badve, S, and Nakshatri, H
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- 2007
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23. Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer
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Kos, Z., Roblin, E., Kim, R. S., Michiels, S., Gallas, B. D., Chen, W., van de Vijver, K. K., Goel, S., Adams, S., Demaria, S., Viale, G., Nielsen, T. O., Badve, S. S., Symmans, W. F., Sotiriou, C., Rimm, D. L., Hewitt, S., Denkert, C., Loibl, S., Luen, S. J., Bartlett, J. M. S., Savas, P., Pruneri, G., Dillon, D. A., Cheang, M. C. U., Tutt, A., Hall, J. A., Kok, M., Horlings, H. M., Madabhushi, A., van der Laak, J., Ciompi, F., Laenkholm, A. -V., Bellolio, E., Gruosso, T., Fox, S. B., Araya, J. C., Floris, G., Hudecek, J., Voorwerk, L., Beck, A. H., Kerner, J., Larsimont, D., Declercq, S., Van den Eynden, G., Pusztai, L., Ehinger, A., Yang, W., Abduljabbar, K., Yuan, Y., Singh, R., Hiley, C., Bakir, M., Lazar, A. J., Naber, S., Wienert, S., Castillo, M., Curigliano, G., Dieci, M. -V., Andre, F., Swanton, C., Reis-Filho, J., Sparano, J., Balslev, E., Chen, I. -C., Stovgaard, E. I. S., Pogue-Geile, K., Blenman, K. R. M., Penault-Llorca, F., Schnitt, S., Lakhani, S. R., Vincent-Salomon, A., Rojo, F., Braybrooke, J. P., Hanna, M. G., Soler-Monso, M. T., Bethmann, D., Castaneda, C. A., Willard-Gallo, K., Sharma, A., Lien, H. -C., Fineberg, S., Thagaard, J., Comerma, L., Gonzalez-Ericsson, P., Brogi, E., Loi, S., Saltz, J., Klaushen, F., Cooper, L., Amgad, M., Moore, D. A., Salgado, R., Hyytiainen, A., Hida, A. I., Thompson, A., Lefevre, A., Gown, A., Lo, A., Sapino, A., Moreira, A. M., Richardson, A., Vingiani, A., Bellizzi, A. M., Guerrero, A., Grigoriadis, A., Garrido-Castro, A. C., Cimino-Mathews, A., Srinivasan, A., Acs, B., Singh, B., Calhoun, B., Haibe-Kans, B., Solomon, B., Thapa, B., Nelson, B. H., Ballesteroes-Merino, C., Criscitiello, C., Boeckx, C., Colpaert, C., Quinn, C., Chennubhotla, C. S., Solinas, C., Drubay, D., Sabanathan, D., Peeters, D., Zardavas, D., Hoflmayer, D., Johnson, D. B., Thompson, E. A., Perez, E., Elgabry, E. A., Blackley, E. F., Reisenbichler, E., Chmielik, E., Gaire, F., F. -I., Lu, Azmoudeh-Ardalan, F., Peale, F., Hirsch, F. R., Acosta-Haab, G., Farshid, G., Broeckx, G., Koeppen, H., Haynes, H. R., Mcarthur, H., Joensuu, H., Olofsson, H., Cree, I., Nederlof, I., Frahm, I., Brcic, I., Chan, J., Ziai, J., Brock, J., Weseling, J., Giltnane, J., Lemonnier, J., Zha, J., Ribeiro, J., Lennerz, J. K., Carter, J. M., Hartman, J., Hainfellner, J., Le Quesne, J., Juco, J. W., van den Berg, J., Sanchez, J., Cucherousset, J., Adam, J., Balko, J. M., Saeger, K., Siziopikou, K., Sikorska, K., Weber, K., Steele, K. E., Emancipator, K., El Bairi, K., Allison, K. H., Korski, K., Buisseret, L., Shi, L., Kooreman, L. F. S., Molinero, L., Estrada, M. V., Van Seijen, M., Lacroix-Triki, M., Sebastian, M. M., Balancin, M. L., Mathieu, M. -C., van de Vijver, M., Rebelatto, M. C., Piccart, M., Goetz, M. P., Preusser, M., Khojasteh, M., Sanders, M. E., Regan, M. M., Barnes, M., Christie, M., Misialek, M., Ignatiadis, M., de Maaker, M., Van Bockstal, M., Harbeck, N., Tung, N., Laudus, N., Sirtaine, N., Burchardi, N., Ternes, N., Radosevic-Robin, N., Gluz, O., Grimm, O., Nuciforo, P., Jank, P., Kirtani, P., Watson, P. H., Jelinic, P., Francis, P. A., Russell, P. A., Pierce, R. H., Hills, R., Leon-Ferre, R., de Wind, R., Shui, R., Leung, S., Tabbarah, S., Souza, S. C., O'Toole, S., Swain, S., Dudgeon, S., Willis, S., Ely, S., Bedri, S., Irshad, S., Liu, S., Hendry, S., Bianchi, S., Braganca, S., Paik, S., Luz, S., Gevaert, T., D'Alfons, T., John, T., Sugie, T., Kurkure, U., Bossuyt, V., Manem, V., Camaea, V. P., Tong, W., Tran, W. T., Wang, Y., Allory, Y., Husain, Z., Bago-Horvath, Z., Service de biostatistique et d'épidémiologie (SBE), Direction de la recherche clinique [Gustave Roussy], Institut Gustave Roussy (IGR)-Institut Gustave Roussy (IGR), Institut Gustave Roussy (IGR), Division of Pathology and Laboratory Medicine, Università degli Studi di Milano [Milano] (UNIMI)-European Institute of Oncology [Milan] (ESMO), Institut Jules Bordet [Bruxelles], Faculté de Médecine [Bruxelles] (ULB), Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB), Charité, Institute of Pathology, Translational Tumorpathology Unit, German Breast Group, University of the Sunshine Coast (USC), European Institute of Oncology [Milan] (ESMO), Breakthrough Breast Cancer Centre, London Institute of Cancer, Department of Pathology, The Netherlands Cancer Institute, Division of Experimental Therapy, The Netherlands Cancer Institute NKI/AvL, Odense University Hospital, Unité de génétique et biologie des cancers (U830), Université Paris Descartes - Paris 5 (UPD5)-Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Department of Breast Medical Oncology [Houston], The University of Texas M.D. Anderson Cancer Center [Houston], Helsingborg Hospital, Division of Experimental Therapeutics [Milan, Italy], Département de médecine oncologique [Gustave Roussy], Cancer Research UK Lung Cancer Centre of Excellence [Londres, Royaume-Uni], University College of London [London] (UCL), Memorial Sloane Kettering Cancer Center [New York], Herlev and Gentofte Hospital, Centre Jean Perrin [Clermont-Ferrand] (UNICANCER/CJP), UNICANCER, Imagerie Moléculaire et Stratégies Théranostiques (IMoST), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut National de la Santé et de la Recherche Médicale (INSERM), University of Southern Queensland (USQ), Pharmacogenomics Unit [Paris], Department of Genetics [Paris], Institut Curie [Paris]-Institut Curie [Paris], Instituto de Física Teórica UAM/CSIC (IFT), Universidad Autonoma de Madrid (UAM)-Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Ctr Biomol Struct & Org, University of Maryland [College Park], University of Maryland System-University of Maryland System, The University of Sydney, Breast Cancer Translational Research Laboratory, Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB)-Faculté de Médecine [Bruxelles] (ULB), Innovation North - Faculty of Information and Technology, Leeds Metropolitan University, Int Immuno-Oncology Biomarker, Graduate School, CCA - Cancer biology and immunology, Pathology, Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Oncostat (U1018 (Équipe 2)), Institut Gustave Roussy (IGR)-Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Università degli Studi di Milano = University of Milan (UNIMI)-European Institute of Oncology [Milan] (ESMO), German Breast Group (GBG), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Universidad Autónoma de Madrid (UAM)-Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Gallas, Brandon D [0000-0001-7332-1620], van de Vijver, Koen K [0000-0002-2026-9790], Demaria, Sandra [0000-0003-4426-0499], Badve, Sunil S [0000-0001-8861-9980], Symmans, W Fraser [0000-0002-1526-184X], Rimm, David L [0000-0001-5820-4397], Savas, Peter [0000-0001-5999-428X], Hall, Jacqueline A [0000-0003-0708-1360], Horlings, Hugo M [0000-0003-4782-8828], van der Laak, Jeroen [0000-0001-7982-0754], Bellolio, Enrique [0000-0003-0079-5264], Araya, Juan Carlos [0000-0003-3501-8203], Floris, Giuseppe [0000-0003-2391-5425], Hudeček, Jan [0000-0003-1071-5686], Ehinger, Anna [0000-0001-9225-7396], Lazar, Alexander J [0000-0002-6395-4499], Castillo, Miluska [0000-0002-0111-3176], Curigliano, Giuseppe [0000-0003-1781-2518], Sparano, Joseph [0000-0002-9031-2010], Braybrooke, Jeremy P [0000-0003-1943-7360], Hanna, Matthew G [0000-0002-7536-1746], Willard-Gallo, Karen [0000-0002-1150-1295], Sharma, Ashish [0000-0002-1011-6504], Comerma, Laura [0000-0002-0249-4636], Gonzalez-Ericsson, Paula [0000-0002-6292-6963], Loi, Sherene [0000-0001-6137-9171], Cooper, Lee [0000-0002-3504-4965], Apollo - University of Cambridge Repository, Research Programs Unit, Heikki Joensuu / Principal Investigator, HUS Comprehensive Cancer Center, Department of Oncology, Medicum, Gallas, Brandon D. [0000-0001-7332-1620], van de Vijver, Koen K. [0000-0002-2026-9790], Badve, Sunil S. [0000-0001-8861-9980], Symmans, W. Fraser [0000-0002-1526-184X], Rimm, David L. [0000-0001-5820-4397], Hall, Jacqueline A. [0000-0003-0708-1360], Horlings, Hugo M. [0000-0003-4782-8828], Lazar, Alexander J. [0000-0002-6395-4499], Braybrooke, Jeremy P. [0000-0003-1943-7360], and Hanna, Matthew G. [0000-0002-7536-1746]
- Subjects
Oncology ,[SDV]Life Sciences [q-bio] ,THERAPY ,Tumours of the digestive tract Radboud Institute for Health Sciences [Radboudumc 14] ,Prognostic markers ,0302 clinical medicine ,Breast cancer ,Medicine and Health Sciences ,Pharmacology (medical) ,Lymphocytes ,Stromal tumor ,health care economics and organizations ,0303 health sciences ,CHEMOTHERAPY ,Sciences bio-médicales et agricoles ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,3. Good health ,Women's cancers Radboud Institute for Health Sciences [Radboudumc 17] ,PROGNOSTIC VALUE ,Clinical Practice ,030220 oncology & carcinogenesis ,Educational resources ,Immunosurveillance ,medicine.medical_specialty ,3122 Cancers ,[SDV.CAN]Life Sciences [q-bio]/Cancer ,IMMUNITY ,lcsh:RC254-282 ,Article ,Limfòcits ,Càncer de mama ,03 medical and health sciences ,Gastrointestinal cancer ,SDG 3 - Good Health and Well-being ,Internal medicine ,692/53/2422 ,medicine ,Radiology, Nuclear Medicine and imaging ,Càncer gastrointestinal ,030304 developmental biology ,Predictive biomarker ,Tumor-infiltrating lymphocytes ,business.industry ,Médecine pathologie humaine ,medicine.disease ,Cancérologie ,Human medicine ,business ,SYSTEM ,631/67/580/1884 - Abstract
Stromal tumor-infiltrating lymphocytes (sTILs) are important prognostic and predictive biomarkers in triple-negative (TNBC) and HER2-positive breast cancer. Incorporating sTILs into clinical practice necessitates reproducible assessment. Previously developed standardized scoring guidelines have been widely embraced by the clinical and research communities. We evaluated sources of variability in sTIL assessment by pathologists in three previous sTIL ring studies. We identify common challenges and evaluate impact of discrepancies on outcome estimates in early TNBC using a newly-developed prognostic tool. Discordant sTIL assessment is driven by heterogeneity in lymphocyte distribution. Additional factors include: technical slide-related issues; scoring outside the tumor boundary; tumors with minimal assessable stroma; including lymphocytes associated with other structures; and including other inflammatory cells. Small variations in sTIL assessment modestly alter risk estimation in early TNBC but have the potential to affect treatment selection if cutpoints are employed. Scoring and averaging multiple areas, as well as use of reference images, improve consistency of sTIL evaluation. Moreover, to assist in avoiding the pitfalls identified in this analysis, we developed an educational resource available at www.tilsinbreastcancer.org/pitfalls., info:eu-repo/semantics/published
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- 2020
24. Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials
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Hudecek, J., Voorwerk, L., van Seijen, M., Nederlof, I., de Maaker, M., van den Berg, J., van de Vijver, K. K., Sikorska, K., Adams, S., Demaria, S., Viale, G., Nielsen, T. O., Badve, S. S., Michiels, S., Symmans, W. F., Sotiriou, C., Rimm, D. L., Hewitt, S. M., Denkert, C., Loibl, S., Loi, S., Bartlett, J. M. S., Pruneri, G., Dillon, D. A., Cheang, M. C. U., Tutt, A., Hall, J. A., Kos, Z., Salgado, R., Kok, M., Horlings, H. M., Hyytiainen, A., Hida, A. I., Thompson, A., Lefevre, A., Lazar, A. J., Gown, A., Lo, A., Sapino, A., Madabhushi, A., Moreira, A., Richardson, A., Vingiani, A., Beck, A. H., Bellizzi, A. M., Guerrero, A., Grigoriadis, A., Ehinger, A., Garrido-Castro, A., Vincent-Salomon, A., Laenkholm, A. -V., Sharma, A., Cimino-Mathews, A., Srinivasan, A., Acs, B., Singh, B., Calhoun, B., Haibe-Kans, B., Solomon, B., Thapa, B., Nelson, B. H., Gallas, B. D., Castaneda, C., Ballesteros-Merino, C., Criscitiello, C., Boeckx, C., Colpaert, C., Quinn, C., Chennubhotla, C. S., Swanton, C., Solinas, C., Hiley, C., Drubay, D., Bethmann, D., Moore, D. A., Larsimont, D., Sabanathan, D., Peeters, D., Zardavas, D., Hoflmayer, D., Johnson, D. B., Thompson, E. A., Brogi, E., Perez, E., Elgabry, E. A., Stovgaard, E. S., Blackley, E. F., Roblin, E., Reisenbichler, E., Bellolio, E., Balslev, E., Chmielik, E., Gaire, F., Andre, F., F. -I., Lu, Azmoudeh-Ardalan, F., Rojo, F., Gruosso, T., Ciompi, F., Peale, F., Hirsch, F. R., Klauschen, F., Penault-Llorca, F., Acosta Haab, G., Farshid, G., van den Eynden, G., Curigliano, G., Floris, G., Broeckx, G., Gonzalez-Ericsson, Koeppen, H., Haynes, H. R., Mcarthur, H., Joensuu, H., Olofsson, H., Lien, H. -C., Chen, I. -C., Cree, I., Frahm, I., Brcic, I., Chan, J., Ziai, J., Brock, J., Wesseling, J., Giltnane, J., Kerner, J. K., Thagaard, J., Braybrooke, J. P., van der Laak, J. A. W. M., Lemonnier, J., Zha, J., Ribeiro, J., Lennerz, J. K., Carter, J. M., Saltz, J., Hartman, J., Hainfellner, J., Quesne, J. L., Juco, J. W., Reis-Filho, J., Sanchez, J., Sparano, J., Cucherousset, J., Araya, J. C., Adam, J., Balko, J. M., Saeger, K., Siziopikou, K., Willard-Gallo, K., Weber, K., Pogue-Geile, K. L., Steele, K. E., Emancipator, K., Abduljabbar, K., El Bairi, K., Blenman, K. R. M., Allison, K. H., Korski, K., Pusztai, L., Comerma, L., Buisseret, L., Cooper, L. A. D., Shi, L., Kooreman, L. F. S., Molinero, L., Estrada, M. V., Lacroix-Triki, M., Al Bakir, M., Sebastian, M. M., van de Vijver, M., Balancin, M. L., Dieci, M. V., Mathieu, M. -C., Rebelatto, M. C., Piccart, M., Hanna, M. G., Goetz, M. P., Preusser, M., Khojasteh, M., Sanders, M. E., Regan, M. M., Barnes, M., Christie, M., Misialek, M., Ignatiadis, M., van Bockstal, M., Castillo, M., Amgad, M., Harbeck, N., Tung, N., Laudus, N., Sirtaine, N., Burchardi, N., Ternes, N., Radosevic-Robin, N., Gluz, O., Grimm, O., Nuciforo, P., Jank, P., Gonzalez-Ericsson, P., Kirtani, P., Jelinic, P., Watson, P. H., Savas, P., Francis, P. A., Russell, P. A., Singh, R., Kim, R. S., Pierce, R. H., Hills, R., Leon-Ferre, R., de Wind, R., Shui, R., De Clercq, S., Leung, S., Tabbarah, S., Souza, S. C., O'Toole, S., Swain, S., Dudgeon, S., Willis, S., Ely, S., Kim, S. -R., Bedri, S., Irshad, S., Liu, S. -W., Goel, S., Hendry, S., Bianchi, S., Braganca, S., Paik, S., Wienert, S., Fox, S. B., Luen, S. J., Naber, S., Schnitt, S. J., Sua, L. F., Lakhani, S. R., Fineberg, S., Soler, T., Gevaert, T., D'Alfonso, T., John, T., Sugie, T., Kurkure, U., Bossuyt, V., Manem, V., Camara, V. P., Tong, W., Chen, W., Yang, W., Tran, W. T., Wang, Y., Yuan, Y., Allory, Y., Husain, Z., Bago-Horvath, Z., Division of Pathology and Laboratory Medicine, Università degli Studi di Milano [Milano] (UNIMI)-European Institute of Oncology [Milan] (ESMO), Service de biostatistique et d'épidémiologie (SBE), Direction de la recherche clinique [Gustave Roussy], Institut Gustave Roussy (IGR)-Institut Gustave Roussy (IGR), Institut Gustave Roussy (IGR), Institut Jules Bordet [Bruxelles], Faculté de Médecine [Bruxelles] (ULB), Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB), Charité, Institute of Pathology, Translational Tumorpathology Unit, German Breast Group, Breast Cancer Translational Research Laboratory, Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB)-Faculté de Médecine [Bruxelles] (ULB), University of the Sunshine Coast (USC), European Institute of Oncology [Milan] (ESMO), Breakthrough Breast Cancer Centre, London Institute of Cancer, Department of Pathology, The Netherlands Cancer Institute, Division of Experimental Therapy, The Netherlands Cancer Institute NKI/AvL, Imagerie Moléculaire et Stratégies Théranostiques (IMoST), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Jean Perrin [Clermont-Ferrand] (UNICANCER/CJP), UNICANCER, Hudeček, Jan [0000-0003-1071-5686], van de Vijver, Koen K [0000-0002-2026-9790], Demaria, Sandra [0000-0003-4426-0499], Badve, Sunil S [0000-0001-8861-9980], Symmans, William Fraser [0000-0002-1526-184X], Rimm, David L [0000-0001-5820-4397], Loi, Sherene [0000-0001-6137-9171], Hall, Jacqueline A [0000-0003-0708-1360], Horlings, Hugo M [0000-0003-4782-8828], Apollo - University of Cambridge Repository, van de Vijver, Koen K. [0000-0002-2026-9790], Badve, Sunil S. [0000-0001-8861-9980], Rimm, David L. [0000-0001-5820-4397], Hall, Jacqueline A. [0000-0003-0708-1360], Horlings, Hugo M. [0000-0003-4782-8828], Università degli Studi di Milano = University of Milan (UNIMI)-European Institute of Oncology [Milan] (ESMO), Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Oncostat (U1018 (Équipe 2)), Institut Gustave Roussy (IGR)-Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, German Breast Group (GBG), and Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])
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0301 basic medicine ,Oncology ,medicine.medical_specialty ,[SDV]Life Sciences [q-bio] ,medicine.medical_treatment ,MEDLINE ,[SDV.CAN]Life Sciences [q-bio]/Cancer ,Review Article ,lcsh:RC254-282 ,631/67/1857 ,Tumour biomarkers ,Tumours of the digestive tract Radboud Institute for Health Sciences [Radboudumc 14] ,03 medical and health sciences ,0302 clinical medicine ,Breast cancer ,692/53 ,Internal medicine ,Medicine and Health Sciences ,medicine ,Pharmacology (medical) ,Radiology, Nuclear Medicine and imaging ,692/4028/67/580 ,Stromal tumor ,Biomarkers ,Tumour immunology ,business.industry ,Risk management framework ,review-article ,Médecine pathologie humaine ,631/67/1347 ,Immunotherapy ,Sciences bio-médicales et agricoles ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,medicine.disease ,Women's cancers Radboud Institute for Health Sciences [Radboudumc 17] ,3. Good health ,Review article ,Clinical trial ,Cancérologie ,030104 developmental biology ,030220 oncology & carcinogenesis ,Biomarker (medicine) ,business - Abstract
Stromal tumor-infiltrating lymphocytes (sTILs) are a potential predictive biomarker for immunotherapy response in metastatic triple-negative breast cancer (TNBC). To incorporate sTILs into clinical trials and diagnostics, reliable assessment is essential. In this review, we propose a new concept, namely the implementation of a risk-management framework that enables the use of sTILs as a stratification factor in clinical trials. We present the design of a biomarker risk-mitigation workflow that can be applied to any biomarker incorporation in clinical trials. We demonstrate the implementation of this concept using sTILs as an integral biomarker in a single-center phase II immunotherapy trial for metastatic TNBC (TONIC trial, NCT02499367), using this workflow to mitigate risks of suboptimal inclusion of sTILs in this specific trial. In this review, we demonstrate that a web-based scoring platform can mitigate potential risk factors when including sTILs in clinical trials, and we argue that this framework can be applied for any future biomarker-driven clinical trial setting., info:eu-repo/semantics/published
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- 2020
25. The path to a better biomarker: application of a risk management framework for the implementation of PD-L1 and TILs as immuno-oncology biomarkers in breast cancer clinical trials and daily practice
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Gonzalez-Ericsson, P, Stovgaard, ES, Sua, LF, Reisenbichler, E, Kos, Z, Carter, JM, Michiels, S, Le Quesne, J, Nielsen, TO, Laenkholm, A-V, Fox, SB, Adam, J, Bartlett, JMS, Rimm, DL, Quinn, C, Peeters, D, Dieci, M, Vincent-Salomon, A, Cree, I, Hida, A, Balko, JM, Haynes, HR, Frahm, I, Acosta-Haab, G, Balancin, M, Bellolio, E, Yang, W, Kirtani, P, Sugie, T, Ehinger, A, Castaneda, CA, Kok, M, McArthur, H, Siziopikou, K, Badve, S, Fineberg, S, Gown, A, Viale, G, Schnitt, SJ, Pruneri, G, Penault-Llorca, F, Hewitt, S, Thompson, EA, Allison, KH, Symmans, WF, Bellizzi, AM, Brogi, E, Moore, DA, Larsimont, D, Dillon, DA, Lazar, A, Lien, H, Goetz, MP, Broeckx, G, El Bairi, K, Harbeck, N, Cimino-Mathews, A, Sotiriou, C, Adams, S, Liu, S-W, Loibl, S, Chen, I-C, Lakhani, SR, Juco, JW, Denkert, C, Blackley, EF, Demaria, S, Leon-Ferre, R, Gluz, O, Zardavas, D, Emancipator, K, Ely, S, Loi, S, Salgado, R, Sanders, M, Gonzalez-Ericsson, P, Stovgaard, ES, Sua, LF, Reisenbichler, E, Kos, Z, Carter, JM, Michiels, S, Le Quesne, J, Nielsen, TO, Laenkholm, A-V, Fox, SB, Adam, J, Bartlett, JMS, Rimm, DL, Quinn, C, Peeters, D, Dieci, M, Vincent-Salomon, A, Cree, I, Hida, A, Balko, JM, Haynes, HR, Frahm, I, Acosta-Haab, G, Balancin, M, Bellolio, E, Yang, W, Kirtani, P, Sugie, T, Ehinger, A, Castaneda, CA, Kok, M, McArthur, H, Siziopikou, K, Badve, S, Fineberg, S, Gown, A, Viale, G, Schnitt, SJ, Pruneri, G, Penault-Llorca, F, Hewitt, S, Thompson, EA, Allison, KH, Symmans, WF, Bellizzi, AM, Brogi, E, Moore, DA, Larsimont, D, Dillon, DA, Lazar, A, Lien, H, Goetz, MP, Broeckx, G, El Bairi, K, Harbeck, N, Cimino-Mathews, A, Sotiriou, C, Adams, S, Liu, S-W, Loibl, S, Chen, I-C, Lakhani, SR, Juco, JW, Denkert, C, Blackley, EF, Demaria, S, Leon-Ferre, R, Gluz, O, Zardavas, D, Emancipator, K, Ely, S, Loi, S, Salgado, R, and Sanders, M
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- 2020
26. TWO CASES OF ATYPICAL HAEMOLYTIC UREMIC SYNDROME TREATED WITH ECULIZUMAB: 245
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BOSE, B, MALLETT, A, BADVE, S V, JOHNSON, D W, HAWLEY, C, MUDGE, D, VAN EPS, C, CAMPBELL, S, and ISBEL, N
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- 2012
27. 170P β2-adrenergic receptor gene expression as a prognostic and predictive biomarker in HER2-positive early-stage breast cancer patients enrolled on the NCCTG-N9831 (Alliance) trial
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Caparica, R., primary, Ma, Y., additional, De Angelis, C., additional, Richard, F., additional, Desmedt, C., additional, Awada, A.H., additional, Piccart, M., additional, Perez, E., additional, Moreno-Aspitia, A., additional, Badve, S., additional, Thompson, E.A., additional, and de Azambuja, E., additional
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- 2020
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28. Amplified in breast cancer 1 expression in breast cancer
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Thorat, M A, Turbin, D, Morimiya, A, Leung, S, Zhang, Q, Jeng, M-H, Huntsman, D G, Nakshatri, H, and Badve, S
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- 2008
29. The effects of canagliflozin on uric acid and gout in patients with type 2 diabetes in the CANVAS programme
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Mahaffey, K. W., Li, J., Badve, S. V., Zhou, Z., Oh, R., Lee, M., Perkovic, V., de Zeeuw, D., Fulcher, G., Matthews, D. R., Neal, B., and Groningen Kidney Center (GKC)
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Endocrinology & Metabolism ,Science & Technology ,1114 Paediatrics and Reproductive Medicine ,1103 Clinical Sciences ,Life Sciences & Biomedicine ,1117 Public Health and Health Services - Published
- 2019
30. Does Sevelamer reduce mortality by slowing of progression of coronary calcification?
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Badve, S V and Magner, P O
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- 2007
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31. Small Cells in Hepatoblastoma Lack “Oval” Cell Phenotype
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Badve, S, Logdberg, L, Lal, A, de Davila, M T G, Greco, M A, Mitsudo, S, and Saxena, R
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- 2003
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32. Clinical outcomes by chemotherapy regimen in patients with RS 26-100 in TAILORx
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Sparano, J., primary, Gray, R.J., additional, Makower, D., additional, Albain, K., additional, Saphner, T.J., additional, Badve, S., additional, Wagner, L., additional, Mihalcioiu, C., additional, Desbiens, C., additional, Hayes, D.F., additional, Dees, E.C., additional, Geyer, C., additional, Olson, J., additional, Wood, W.C., additional, Lively, T., additional, Paik, S., additional, Ellis, M., additional, Abrams, J.S., additional, and Sledge, G.W., additional
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- 2019
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33. SUN-292 BENEFITS AND HARMS OF VITAMIN D COMPOUNDS IN ADULTS WITH CHRONIC KIDNEY DISEASE: A SYSTEMATIC REVIEW AND META-ANALYSIS OF RANDOMISED CONTROLLED TRIALS
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YEUNG, W.C.G., primary, Talbot, B., additional, Shah, N., additional, Palmer, S., additional, Mangos, G., additional, Gallagher, M., additional, Toussaint, N., additional, and Badve, S., additional
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- 2019
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34. Lack of Expression of the Epstein-Barr Virus (EBV) Gene Products, EBERs, EBNA1, LMP1, and LMP2A, in Breast Cancer Cells
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Deshpande, C G, Badve, S, Kidwai, N, and Longnecker, R
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- 2002
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35. Prospective prediction of resistance to neoadjuvant therapy in patients with locoregional esophageal adenocarcinoma
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Rosen DG, Shan W, Lassen N, Johnson C, Oelschlager K, Bierman-Harrar Y, Kesler KA, Maetzold D, Badve S, Cook RW, and Saxena R
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lcsh:Diseases of the digestive system. Gastroenterology ,lcsh:RC799-869 ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,lcsh:RC254-282 - Abstract
Daniel G Rosen,1 Weiwei Shan,2 Natalie Lassen,2 Clare Johnson,2 Kristen Oelschlager,2 Yaeli Bierman-Harrar,1 Kenneth A Kesler,3 Derek Maetzold,2 Sunil Badve,3 Robert W Cook,2 Romil Saxena3 1Baylor College of Medicine, Houston TX, USA; 2Castle Biosciences, Incorporated, Friendswood, TX, USA; 3Indiana University, Indianapolis, IN, USA Background: To clinically validate a multianalyte algorithmic immunohistochemistry (IHC) assay that has been previously shown to accurately identify patients with locoregional esophageal adenocarcinoma (EC) who will exhibit extreme resistance to neoadjuvant chemoradiotherapy. Methods: Archived biopsy specimens of EC were subject to IHC examination of compartmentalized immunoreactivity of nuclear factor kappa B (NF-κB), Sonic Hedgehog (SHH), and GLI family zinc finger 1 (Gli-1), and a labeling index score was assigned to each biomarker. Test prediction was generated by logistic regression predictive modeling, using the labeling index scores for all three analytes from each sample, referring to a validated training set of 167 EC patients. Accuracy of the test was determined by comparing the predicted outcomes with pathologically determined College of American Pathologists tumor response grade. Analytical validity of the test was measured by comparing validation set prediction results obtained in two independent Clinical Laboratory Improvement Amendment-certified laboratories, and by measuring concordance between two trained labeling index readers. Results: Specimens from 64 patients that met specific criteria were collected. No technical failure was encountered during the IHC labeling procedures. The logistic regression algorithm generated an area under the curve of 0.96 and 0.85 for the 64 sample cohort in two independent clinical laboratories, respectively, comparing predictive results with the established training set. Positive predictive values of 88% and 82% were also achieved in each laboratory, respectively. A negative predictive value of 83% was reported by both laboratories. Interobserver concordance was 97%. Discussion: We report the second validation of a multianalyte algorithmic IHC-based predictive test that accurately identifies EC patient response to fluorouracil-based neoadjuvant chemoradiotherapy regimens under College of American Pathologists-accredited Clinical Laboratory Improvement Amendment-certified laboratory protocols. The validated assay provides the opportunity to identify patients with EC who have extreme resistance to neoadjuvant chemoradiotherapy who are resistant to fluorouracil-based neoadjuvant chemoradiotherapy, allowing for more effective treatment planning by clinicians and less toxicity for patients. Keywords: neoadjuvant chemoradiation, immunohistochemistry, predictive test, validation
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- 2015
36. Risk predictors and causes of technique failure within the first year of peritoneal dialysis.
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Johnson D., Badve S., Boudville N., Clayton P., Sud K., Polkinghorne K., Borlace M., Cho Y., Pascoe E., Hawley C., See E., Johnson D., Badve S., Boudville N., Clayton P., Sud K., Polkinghorne K., Borlace M., Cho Y., Pascoe E., Hawley C., and See E.
- Abstract
Introduction and Aims: Technique failure is a major complication of peritoneal dialysis (PD) treatment and is associated with significant risk to patients and health services. The first year has been recognised as a particularly vulnerable period, with studies estimating that just under one-half of patients who develop technique failure do so within this time. This study aimed to identify the key risk factors and risk periods for early transfer to haemodialysis or death in incident PD patients. Method(s): Using data from the ANZDATA Registry, this study included all adult patients who commenced PD in Australia and New Zealand between 2000 and 2014. Competing risk regression models were used to analyse the primary outcome, which was technique failure within the first year (kidney transplantation was the competing risk), as well as the secondary outcomes, which examined each cause of technique failure (kidney transplantation and other causes of technique failure were the competing risks). Patients were censored at the time of kidney transplantation, recovery of renal function, loss to follow up, or at 365.25 days after commencement of PD. Result(s): Of 16,748 patients who commenced PD during the study period, 4,389 patients reached the primary outcome. Factors associated with increased risk included age >70 years, diabetes or vascular disease, prior renal replacement therapy, late referral to a nephrology service, or management in a smaller centre. Asian or other race and use of continuous ambulatory PD were associated with reduced risk, as was commencement of PD between 2010 and 2014. Although the risk of technique failure due to death or infection was constant over the first year, mechanical and other causes accounted for a greater number of cases within the initial 9 months of treatment. [Figure Presented] Conclusion(s): Several modifiable and non-modifiable factors are associated with early technique failure. Variation in the principal cause of early technique fai
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- 2018
37. MYBL1 rearrangements and MYB amplification in breast adenoid cystic carcinomas lacking the MYB-NFIB fusion gene
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Kim, J, Geyer, FC, Martelotto, LG, Ng, CKY, Lim, RS, Selenica, P, Li, A, Pareja, F, Fusco, N, Edelweiss, M, Kumar, R, Gularte-Merida, R, Forbes, AN, Khurana, E, Mariani, O, Badve, S, Vincent-Salomon, A, Norton, L, Reis-Filho, JS, Weigelt, B, Kim, J, Geyer, FC, Martelotto, LG, Ng, CKY, Lim, RS, Selenica, P, Li, A, Pareja, F, Fusco, N, Edelweiss, M, Kumar, R, Gularte-Merida, R, Forbes, AN, Khurana, E, Mariani, O, Badve, S, Vincent-Salomon, A, Norton, L, Reis-Filho, JS, and Weigelt, B
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- 2018
38. Invasion in breast lesions: the role of the epithelial-stroma barrier
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Rakha, EA, Miligy, IM, Gorringe, KL, Toss, MS, Green, AR, Fox, SB, Schmitt, FC, Tan, P-H, Tse, GM, Badve, S, Decker, T, Vincent-Salomon, A, Dabbs, DJ, Foschini, MP, Moreno, F, Yang, W, Geyer, FC, Reis-Filho, JS, Pinder, SE, Lakhani, SR, Ellis, IO, Rakha, EA, Miligy, IM, Gorringe, KL, Toss, MS, Green, AR, Fox, SB, Schmitt, FC, Tan, P-H, Tse, GM, Badve, S, Decker, T, Vincent-Salomon, A, Dabbs, DJ, Foschini, MP, Moreno, F, Yang, W, Geyer, FC, Reis-Filho, JS, Pinder, SE, Lakhani, SR, and Ellis, IO
- Abstract
Despite the significant biological, behavioural and management differences between ductal carcinoma in situ (DCIS) and invasive carcinoma of the breast, they share many morphological and molecular similarities. Differentiation of these two different lesions in breast pathological diagnosis is based typically on the presence of an intact barrier between the malignant epithelial cells and stroma; namely, the myoepithelial cell (MEC) layer and surrounding basement membrane (BM). Despite being robust diagnostic criteria, the identification of MECs and BM to differentiate in-situ from invasive carcinoma is not always straightforward. The MEC layer around DCIS may be interrupted and/or show an altered immunoprofile. MECs may be absent in some benign locally infiltrative lesions such as microglandular adenosis and infiltrating epitheliosis, and occasionally in non-infiltrative conditions such as apocrine lesions, and in these contexts this does not denote malignancy or invasive disease with metastatic potential. MECs may also be absent around some malignant lesions such as some forms of papillary carcinoma, yet these behave in an indolent fashion akin to some DCIS. In Paget's disease, malignant mammary epithelial cells extend anteriorly from the ducts to infiltrate the epidermis of the nipple but do not typically infiltrate through the BM into the dermis. Conversely, BM-like material can be seen around invasive carcinoma cells and around metastatic tumour cell deposits. Here, we review the role of MECs and BM in breast pathology and highlight potential clinical implications. We advise caution in interpretation of MEC features in breast pathology and mindfulness of the substantive evidence base in the literature associated with behaviour and clinical outcome of lesions classified as benign on conventional morphological examination before changing classification to an invasive lesion on the sole basis of MEC characteristics.
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- 2018
39. Scoring of tumor-infiltrating lymphocytes: From visual estimation to machine learning
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Klauschen, Frederick, Müller, Klaus Robert, Binder, Alexander, Bockmayr, Michael, Hägele, M., Seegerer, P., Wienert, Stephan, Pruneri, Giancarlo, de Maria, S., Badve, S, Michiels, Stefan, Nielsen, Torsten T.O., Adams, Sylvia, Savas, Peter, Symmans, F., Willis, Scooter, Gruosso, Tina, Park, Morag, Haibe-Kains, Benjamin, Gallas, Brandon, Thompson, Abbey A.M., Cree, Ian, Sotiriou, Christos, Solinas, Cinzia, Preusser, Matthias, Hewitt, Stephen M, Rimm, David D.L., Viale, Giuseppe, Loi, S., Loibl, Sibylle, Salgado, Roberto, Denkert, Carsten, Klauschen, Frederick, Müller, Klaus Robert, Binder, Alexander, Bockmayr, Michael, Hägele, M., Seegerer, P., Wienert, Stephan, Pruneri, Giancarlo, de Maria, S., Badve, S, Michiels, Stefan, Nielsen, Torsten T.O., Adams, Sylvia, Savas, Peter, Symmans, F., Willis, Scooter, Gruosso, Tina, Park, Morag, Haibe-Kains, Benjamin, Gallas, Brandon, Thompson, Abbey A.M., Cree, Ian, Sotiriou, Christos, Solinas, Cinzia, Preusser, Matthias, Hewitt, Stephen M, Rimm, David D.L., Viale, Giuseppe, Loi, S., Loibl, Sibylle, Salgado, Roberto, and Denkert, Carsten
- Abstract
The extent of tumor-infiltrating lymphocytes (TILs), along with immunomodulatory ligands, tumor-mutational burden and other biomarkers, has been demonstrated to be a marker of response to immune-checkpoint therapy in several cancers. Pathologists have therefore started to devise standardized visual approaches to quantify TILs for therapy prediction. However, despite successful standardization efforts visual TIL estimation is slow, with limited precision and lacks the ability to evaluate more complex properties such as TIL distribution patterns. Therefore, computational image analysis approaches are needed to provide standardized and efficient TIL quantification. Here, we discuss different automated TIL scoring approaches ranging from classical image segmentation, where cell boundaries are identified and the resulting objects classified according to shape properties, to machine learning-based approaches that directly classify cells without segmentation but rely on large amounts of training data. In contrast to conventional machine learning (ML) approaches that are often criticized for their “black-box” characteristics, we also discuss explainable machine learning. Such approaches render ML results interpretable and explain the computational decision-making process through high-resolution heatmaps that highlight TILs and cancer cells and therefore allow for quantification and plausibility checks in biomedical research and diagnostics., SCOPUS: re.j, info:eu-repo/semantics/published
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- 2018
40. POS-311 POLYPHARMACY IN PATIENTS WITH CHRONIC KIDNEY DISEASE AND HIGH PROGRESSION RISK
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CHENG, L., Badve, S., and on behalf of the CKD-FIX Study Investigators, L
- Published
- 2021
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41. P1.14-17 Identification of Molecular Subtypes of Thymic Epithelial Tumors and Novel Treatments Using a Computational Biological Model
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Padda, S., primary, Gokmen-Polar, Y., additional, Badve, S., additional, Vasista, S., additional, Basu, K., additional, Kumar, A., additional, Vali, S., additional, Abbasi, T., additional, and Wakelee, H., additional
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- 2018
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42. Scoring of tumor-infiltrating lymphocytes: From visual estimation to machine learning
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Klauschen, F., primary, Müller, K.-R., additional, Binder, A., additional, Bockmayr, M., additional, Hägele, M., additional, Seegerer, P., additional, Wienert, S., additional, Pruneri, G., additional, de Maria, S., additional, Badve, S., additional, Michiels, S., additional, Nielsen, T.O., additional, Adams, S., additional, Savas, P., additional, Symmans, F., additional, Willis, S., additional, Gruosso, T., additional, Park, M., additional, Haibe-Kains, B., additional, Gallas, B., additional, Thompson, A.M., additional, Cree, I., additional, Sotiriou, C., additional, Solinas, C., additional, Preusser, M., additional, Hewitt, S.M., additional, Rimm, D., additional, Viale, G., additional, Loi, S., additional, Loibl, S., additional, Salgado, R., additional, and Denkert, C., additional
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- 2018
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43. Abstract P1-06-08: Independent validation of EarlyR gene signature in E2197: A randomized clinical trial comparing doxorubicin plus docetaxel to doxorubicin plus cyclophosphamide as adjuvant chemotherapy in breast cancer
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Badve, S, primary, Wang, V, additional, Willis, S, additional, Leyland-Jones, B, additional, Gokmen-Polar, Y, additional, Shulman, L, additional, Martino, S, additional, Sparano, J, additional, Davidson, N, additional, Goldstein, L, additional, and Buechler, S, additional
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- 2018
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44. Abstract P4-09-12: Quantitative image features of nuclear and tubule architecture distinguish high and low oncotype DX risk categories of ductal carcinoma in situ from H&E tissue images
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Li, H, primary, Whitney, J, additional, Thawani, R, additional, Gilmore, H, additional, Badve, S, additional, and Madabhushi, A, additional
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- 2018
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45. Abstract P2-05-03: Novel driver genetic alterations in MYB-NFIB-negative breast adenoid cystic carcinomas
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Kim, J, primary, Geyer, FC, additional, Martelotto, LG, additional, Ng, CKY, additional, Lim, RS, additional, Selenica, P, additional, Li, A, additional, Pareja, F, additional, Fusco, N, additional, Edelweiss, M, additional, Mariani, O, additional, Badve, S, additional, Vincent-Salomon, A, additional, Norton, L, additional, Reis-Filho, JS, additional, and Weigelt, B, additional
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- 2018
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46. Assessing Tumor-Infiltrating Lymphocytes in Solid Tumors: A Practical Review for Pathologists and Proposal for a Standardized Method from the International Immuno-Oncology Biomarkers Working Group: Part 2: TILs in Melanoma, Gastrointestinal Tract Carcinomas, Non-Small Cell Lung Carcinoma and Mesothelioma, Endometrial and Ovarian Carcinomas, Squamous Cell Carcinoma of the Head and Neck, Genitourinary Carcinomas, and Primary Brain Tumors.
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Hendry, Shona, Salgado, Roberto, Gevaert, Thomas, Russell, PA, John, T, Thapa, B, Christie, M, Van De Vijver, Kristin Inneke, Estrada, Mónica Valeria, Gonzales-Ericsson, PI, Sanders, Melinda M.E., Solomon, B, Solinas, Cinzia, Van den Eynden, Gert, Allory, Y, Preusser, Matthias, Hainfellner, J, Pruneri, Giancarlo, Vingiani, Andrea, Demaria, S, Symmans, Fraser, Nuciforo, Paolo, Comerma, L, Thompson, E A, Lakhani, Sunil S.R., Kim, Su Ryang, Schnitt, S, Colpaert, S, Sotiriou, Christos, Ignatiadis, Michail, Badve, S, Pierce, RH, Viale, G, Sirtaine, N., Pénault-Llorca, Frederique, Sugie, T, Fineberg, Daniel, Paik, Soon, Srinivasa, A, Richardson, A L, Wang, Y, Chmielik, E, Johnson, Douglas D.B., Balko, Justin J.M., Wienert, S, Bossuyt, V, Michiels, S, Ternest, N, Burchardi, N, Luen, SJ, Savas, P, Klauschen, F, Watson, PH, Nelson, BH, Criscitiello, Carmen, O'Toole, S, Larsimont, Denis, De Wind, Roland, Curigliano, G, André, F, Lacroix-Triki, M, Van de Vijver, Marc J, Rojo Fernandez, José Manuel, Floris, Giuseppe, Svatos, Bedrich, Sparano, Joseph, Rimm, David D.L., Nielsen, T, Kos, Z, Hewitt, Stephen M, Singh, Bal Ram, Farshid, G, Loibl, Sibylle, Allison, K H, Tung Ngu, Chan, Adams, S., Willard-Gallo, Karen, Horlings, HM, Gandhi, L, Moreira, A., Hirsch, F, Dieci, Maria V, Urbanowicz, M, Brcic, I, Korski, K, Gaire, F, Koeppen, A.H., Lo, A., Giltnane, Jennifer J.M., Rebelatto, MC, Steele, KE, Zha, J, Emancipator, K, Juco, JW, Denkert, Carsten, Reis-Filho, Jorge Sergio, Loi, Sherene, Fox, Stephen B, Hendry, Shona, Salgado, Roberto, Gevaert, Thomas, Russell, PA, John, T, Thapa, B, Christie, M, Van De Vijver, Kristin Inneke, Estrada, Mónica Valeria, Gonzales-Ericsson, PI, Sanders, Melinda M.E., Solomon, B, Solinas, Cinzia, Van den Eynden, Gert, Allory, Y, Preusser, Matthias, Hainfellner, J, Pruneri, Giancarlo, Vingiani, Andrea, Demaria, S, Symmans, Fraser, Nuciforo, Paolo, Comerma, L, Thompson, E A, Lakhani, Sunil S.R., Kim, Su Ryang, Schnitt, S, Colpaert, S, Sotiriou, Christos, Ignatiadis, Michail, Badve, S, Pierce, RH, Viale, G, Sirtaine, N., Pénault-Llorca, Frederique, Sugie, T, Fineberg, Daniel, Paik, Soon, Srinivasa, A, Richardson, A L, Wang, Y, Chmielik, E, Johnson, Douglas D.B., Balko, Justin J.M., Wienert, S, Bossuyt, V, Michiels, S, Ternest, N, Burchardi, N, Luen, SJ, Savas, P, Klauschen, F, Watson, PH, Nelson, BH, Criscitiello, Carmen, O'Toole, S, Larsimont, Denis, De Wind, Roland, Curigliano, G, André, F, Lacroix-Triki, M, Van de Vijver, Marc J, Rojo Fernandez, José Manuel, Floris, Giuseppe, Svatos, Bedrich, Sparano, Joseph, Rimm, David D.L., Nielsen, T, Kos, Z, Hewitt, Stephen M, Singh, Bal Ram, Farshid, G, Loibl, Sibylle, Allison, K H, Tung Ngu, Chan, Adams, S., Willard-Gallo, Karen, Horlings, HM, Gandhi, L, Moreira, A., Hirsch, F, Dieci, Maria V, Urbanowicz, M, Brcic, I, Korski, K, Gaire, F, Koeppen, A.H., Lo, A., Giltnane, Jennifer J.M., Rebelatto, MC, Steele, KE, Zha, J, Emancipator, K, Juco, JW, Denkert, Carsten, Reis-Filho, Jorge Sergio, Loi, Sherene, and Fox, Stephen B
- Abstract
info:eu-repo/semantics/published
- Published
- 2017
47. Association between serum hepcidin-25 and primary resistance to erythropoiesis-stimulating agents in chronic kidney disease: a secondary analysis of the HERO trial
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Gummer, J., Trengove, R., Pascoe, E., Badve, S., Cass, A., Clarke, P., McDonald, S., Morrish, A., Pedagogos, E., Perkovic, V., Reidlinger, D., Scaria, A., Walker, R., Vergara, L., Hawley, C., Johnson, D., Olynyk, John, Ferrari, P., Gummer, J., Trengove, R., Pascoe, E., Badve, S., Cass, A., Clarke, P., McDonald, S., Morrish, A., Pedagogos, E., Perkovic, V., Reidlinger, D., Scaria, A., Walker, R., Vergara, L., Hawley, C., Johnson, D., Olynyk, John, and Ferrari, P.
- Abstract
Background: Pentoxifylline has been shown to increase haemoglobin levels in patients with chronic kidney disease (CKD) and erythropoietin-stimulating agent (ESA)-hyporesponsive anaemia in the Handling Erythropoietin Resistance with Oxpentifylline multicentre double-blind, randomized controlled trial. The present sub-study evaluated the effects of pentoxifylline on the iron-regulatory hormone hepcidin in patients with ESA-hyporesponsive CKD. Methods: This sub-study included 13 patients in the pentoxifylline arm (400 mg daily) and 13 in the matched placebo arm. Hepcidin-25 was measured by ultra performance liquid chromatography/quadrupole time-of-flight mass spectrometry following isolation from patient serum. Serum hepcidin-25, serum iron biomarkers, haemoglobin and ESA dosage were compared within and between the two groups. Results: Hepcidin-25 concentration at 4 months adjusted for baseline did not differ significantly in pentoxifylline versus placebo treated patients (adjusted mean difference (MD) -7.9 nmol, P = 0.114), although the difference between the groups mean translated into a > 25% reduction of circulating hepcidin-25 due to pentoxifylline compared with the placebo baseline. In paired analysis, serum hepcidin-25 levels were significantly decreased at 4 months compared with baseline in the pentoxifylline group (-5.47 ± 2.27 nmol/l, P < 0.05) but not in the placebo group (2.82 ± 4.29 nmol/l, P = 0.24). Pentoxifylline did not significantly alter serum ferritin (MD 55.4 mcg/l), transferrin saturation (MD 4.04%), the dosage of ESA (MD -9.93 U/kg per week) or haemoglobin concentration (MD 5.75 g/l). Conclusion: The reduction of circulating hepcidin-25 due to pentoxifylline did not reach statistical significance; however, the magnitude of the difference suggests that pentoxifylline may be a clinically and biologically meaningful modulator of hepcidin-25 in dialysis of patients with ESA-hyporesponsive anaemia. © 2016 Asian Pacific Society of Nephrology.
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- 2017
48. Abstract P6-09-09: Evaluation of tumor infiltrating lymphocytes (TILs) and their association with homologous recombination deficiency and BRCA1/2 mutation status in triple-negative breast cancer (TNBC): A pooled analysis
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Telli, ML, primary, Badve, S, additional, Vinayak, S, additional, Silver, DP, additional, Isakoff, SJ, additional, Kaklamani, VG, additional, Gradishar, WJ, additional, Stearns, V, additional, Connolly, RM, additional, Ford, JM, additional, Adams, S, additional, Garber, JE, additional, Evans, B, additional, Timms, K, additional, Wenstrup, R, additional, and Richardson, AL, additional
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- 2017
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49. Abstract OT3-04-01: BRE12-158: A phase II randomized controlled trial of genomically directed therapy after preoperative chemotherapy in patients with triple negative breast cancer (TNBC)
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Schneider, B, primary, Miller, KD, additional, Badve, S, additional, O'Neil, B, additional, Helft, P, additional, Chitambar, C, additional, Falkson, C, additional, Nanda, R, additional, McCormick, M, additional, Danso, M, additional, Blaya, M, additional, Langdon, R, additional, Lippman, M, additional, Paplomata, E, additional, Walling, R, additional, Thompson, M, additional, Robin, E, additional, Aggarwal, L, additional, Shalaby, I, additional, Canfield, V, additional, Adesunloye, B, additional, Lee, T, additional, Daily, K, additional, Ma, C, additional, Erban, J, additional, Radhakrishnan, N, additional, Bruetman, D, additional, Graham, M, additional, Reddy, NA, additional, Lynce, FC, additional, and Radovich, M, additional
- Published
- 2017
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50. Abstract P1-06-02: Impact of heterogeneity of DCIS on immune cell infiltrations
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Badve, S, primary, Gökmen-Polar, Y, additional, Harris, AL, additional, Sui, Y, additional, Sevinsky, C, additional, Santamaria-Pang, A, additional, Ginty, F, additional, Tan, PH, additional, and Gerdes, MJ, additional
- Published
- 2017
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- View/download PDF
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