139 results on '"Torchia, J."'
Search Results
2. β-Estradiol-dependent activation of the JAK/STAT pathway requires p/CIP and CARM1
- Author
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Coughlan, N., Thillainadesan, G., Andrews, J., Isovic, M., and Torchia, J.
- Published
- 2013
- Full Text
- View/download PDF
3. Adenovirus Evasion of Interferon-Mediated Innate Immunity by Direct Antagonism of a Cellular Histone Posttranslational Modification
- Author
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Fonseca, G.J., Thillainadesan, G., Yousef, A.F., Ablack, J.N., Mossman, K.L., Torchia, J., and Mymryk, J.S.
- Published
- 2012
- Full Text
- View/download PDF
4. Biochemical characterization of the zinc-finger protein 217 transcriptional repressor complex: identification of a ZNF217 consensus recognition sequence
- Author
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Cowger, J J M, Zhao, Q, Isovic, M, and Torchia, J
- Published
- 2007
- Full Text
- View/download PDF
5. Intratumoral Treg immunomodulation at a single site cures disseminated disease including in the brain: 21
- Author
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Marabelle, A, Kohrt, H, Brody, J, Torchia, J, Rajapaksa, R, Luong, R, Zhou, G, Levitsky, H I, Tse, V, and Levy, R
- Published
- 2012
6. OCTANE (Ontario-Wide Cancer Targeted Nucleic Acid Evaluation): A Platform for Intraprovincial, National, and International Clinical Data-Sharing
- Author
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Malone, E. R., primary, Saleh, R. R., additional, Yu, C., additional, Ahmed, L., additional, Pugh, T., additional, Torchia, J., additional, Bartlett, J., additional, Virtanen, C., additional, Hotte, S. J., additional, Hilton, J., additional, Welch, S., additional, Robinson, A., additional, McCready, E., additional, Lo, B., additional, Sadikovic, B., additional, Feilotter, H., additional, Hanna, T. P., additional, Kamel-Reid, S., additional, Stockley, T. L., additional, Siu, L. L., additional, and Bedard, Philippe L., additional
- Published
- 2019
- Full Text
- View/download PDF
7. A C19MC-LIN28A-MYCN Oncogenic Circuit Driven by Hijacked Super-enhancers Is a Distinct Therapeutic Vulnerability in ETMRs: A Lethal Brain Tumor
- Author
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Sin-Chan, P, Mumal, I, Suwal, T, Ho, B, Fan, X, Singh, I, Du, Y, Lu, M, Patel, N, Torchia, J, Popovski, D, Fouladi, M, Guilhamon, P, Hansford, JR, Leary, S, Hoffman, LM, Mulcahy Levy, JM, Lassaletta, A, Solano-Paez, P, Rivas, E, Reddy, A, Gillespie, GY, Gupta, N, Van Meter, TE, Nakamura, H, Wong, TT, Ra, YS, Kim, SK, Massimi, L, Grundy, RG, Fangusaro, J, Johnston, D, Chan, J, Lafay-Cousin, L, Hwang, EI, Wang, Y, Catchpoole, D, Michaud, J, Ellezam, B, Ramanujachar, R, Lindsay, H, Taylor, MD, Hawkins, CE, Bouffet, E, Jabado, N, Singh, SK, Kleinman, CL, Barsyte-Lovejoy, D, Li, XN, Dirks, PB, Lin, CY, Mack, SC, Rich, JN, Huang, A, Sin-Chan, P, Mumal, I, Suwal, T, Ho, B, Fan, X, Singh, I, Du, Y, Lu, M, Patel, N, Torchia, J, Popovski, D, Fouladi, M, Guilhamon, P, Hansford, JR, Leary, S, Hoffman, LM, Mulcahy Levy, JM, Lassaletta, A, Solano-Paez, P, Rivas, E, Reddy, A, Gillespie, GY, Gupta, N, Van Meter, TE, Nakamura, H, Wong, TT, Ra, YS, Kim, SK, Massimi, L, Grundy, RG, Fangusaro, J, Johnston, D, Chan, J, Lafay-Cousin, L, Hwang, EI, Wang, Y, Catchpoole, D, Michaud, J, Ellezam, B, Ramanujachar, R, Lindsay, H, Taylor, MD, Hawkins, CE, Bouffet, E, Jabado, N, Singh, SK, Kleinman, CL, Barsyte-Lovejoy, D, Li, XN, Dirks, PB, Lin, CY, Mack, SC, Rich, JN, and Huang, A
- Abstract
© 2019 Elsevier Inc. Embryonal tumors with multilayered rosettes (ETMRs) are highly lethal infant brain cancers with characteristic amplification of Chr19q13.41 miRNA cluster (C19MC) and enrichment of pluripotency factor LIN28A. Here we investigated C19MC oncogenic mechanisms and discovered a C19MC-LIN28A-MYCN circuit fueled by multiple complex regulatory loops including an MYCN core transcriptional network and super-enhancers resulting from long-range MYCN DNA interactions and C19MC gene fusions. Our data show that this powerful oncogenic circuit, which entraps an early neural lineage network, is potently abrogated by bromodomain inhibitor JQ1, leading to ETMR cell death. Sin-Chan et al. uncover a C19MC-LIN28A-MYCN super-enhancer-dependent oncogenic circuit in embryonal tumors with multilayered rosettes (ETMRs). The circuit entraps an early neural lineage network to sustain embryonic epigenetic programming and is vulnerable to bromodomain inhibition, which promotes ETMR cell death.
- Published
- 2019
8. A C19MC-LIN28A-MYCN Oncogenic Circuit Driven by Hijacked Super-enhancers Is a Distinct Therapeutic Vulnerability in ETMRs: A Lethal Brain Tumor
- Author
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Sin-Chan, P., Mumal, I., Suwal, T., Ho, B., Fan, X., Singh, I., Du, Y., Lu, M., Patel, N., Torchia, J., Popovski, D., Fouladi, M., Guilhamon, P., Hansford, J. R., Leary, S., Hoffman, L. M., Mulcahy Levy, J. M., Lassaletta, A., Solano-Paez, P., Rivas, E., Reddy, A., Gillespie, G. Y., Gupta, N., Van Meter, T. E., Nakamura, H., Wong, T. -T., Ra, Y. -S., Kim, S. -K., Massimi, Luca, Grundy, R. G., Fangusaro, J., Johnston, D., Chan, J., Lafay-Cousin, L., Hwang, E. I., Wang, Y., Catchpoole, D., Michaud, J., Ellezam, B., Ramanujachar, R., Lindsay, H., Taylor, M. D., Hawkins, C. E., Bouffet, E., Jabado, N., Singh, S. K., Kleinman, C. L., Barsyte-Lovejoy, D., Li, X. -N., Dirks, P. B., Lin, C. Y., Mack, S. C., Rich, J. N., Huang, A., Massimi L., Sin-Chan, P., Mumal, I., Suwal, T., Ho, B., Fan, X., Singh, I., Du, Y., Lu, M., Patel, N., Torchia, J., Popovski, D., Fouladi, M., Guilhamon, P., Hansford, J. R., Leary, S., Hoffman, L. M., Mulcahy Levy, J. M., Lassaletta, A., Solano-Paez, P., Rivas, E., Reddy, A., Gillespie, G. Y., Gupta, N., Van Meter, T. E., Nakamura, H., Wong, T. -T., Ra, Y. -S., Kim, S. -K., Massimi, Luca, Grundy, R. G., Fangusaro, J., Johnston, D., Chan, J., Lafay-Cousin, L., Hwang, E. I., Wang, Y., Catchpoole, D., Michaud, J., Ellezam, B., Ramanujachar, R., Lindsay, H., Taylor, M. D., Hawkins, C. E., Bouffet, E., Jabado, N., Singh, S. K., Kleinman, C. L., Barsyte-Lovejoy, D., Li, X. -N., Dirks, P. B., Lin, C. Y., Mack, S. C., Rich, J. N., Huang, A., and Massimi L.
- Abstract
Embryonal tumors with multilayered rosettes (ETMRs) are highly lethal infant brain cancers with characteristic amplification of Chr19q13.41 miRNA cluster (C19MC) and enrichment of pluripotency factor LIN28A. Here we investigated C19MC oncogenic mechanisms and discovered a C19MC-LIN28A-MYCN circuit fueled by multiple complex regulatory loops including an MYCN core transcriptional network and super-enhancers resulting from long-range MYCN DNA interactions and C19MC gene fusions. Our data show that this powerful oncogenic circuit, which entraps an early neural lineage network, is potently abrogated by bromodomain inhibitor JQ1, leading to ETMR cell death. Sin-Chan et al. uncover a C19MC-LIN28A-MYCN super-enhancer-dependent oncogenic circuit in embryonal tumors with multilayered rosettes (ETMRs). The circuit entraps an early neural lineage network to sustain embryonic epigenetic programming and is vulnerable to bromodomain inhibition, which promotes ETMR cell death.
- Published
- 2019
9. P3.16-07 The Impact of Clinical and Molecular Profile of Resected EGFR-Mutant Non-Small Cell Lung Cancer on the Risk of Developing Brain Metastases
- Author
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Moskovitz, M., primary, Cabanero, M., additional, Torchia, J., additional, Sorotsky, H., additional, Weiss, J., additional, Pintilie, M., additional, Leighl, N., additional, Bradbury, P., additional, Liu, G., additional, Zadeh, G., additional, Doherty, M., additional, Kia, A., additional, Torti, D., additional, Tsao, M., additional, Pugh, T., additional, and Shepherd, F., additional
- Published
- 2018
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10. P3.03-29 The Prognostic Effect of Tumor Mutation Burden and Smoking History in Resected EGFR Mutant Non-Small Cell Lung Cancer
- Author
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Sorotsky, H., primary, Cabanero, M., additional, Moskovitz, M., additional, Weiss, J., additional, Pintilie, M., additional, Leighl, N., additional, Bradbury, P., additional, Liu, G., additional, Kia, A., additional, Pugh, T., additional, Torti, D., additional, Torchia, J., additional, Tsao, M., additional, and Shepherd, F., additional
- Published
- 2018
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11. MA25.11 Clinical and Molecular Predictors of Outcome in Patients with EGFR mutant NSCLC Brain Metastases treated with RT
- Author
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Moraes, F., primary, Weiss, J., additional, Moskovitz, M., additional, Sorotsky, H., additional, Pintilie, M., additional, Leighl, N., additional, Bradbury, P., additional, Liu, G., additional, Zadeh, G., additional, Doherty, M., additional, Kia, A., additional, So, J., additional, Cabanero, M., additional, Pugh, T., additional, Sugumar, V., additional, Torti, D., additional, Tsao, M., additional, Torchia, J., additional, Shultz, D., additional, Shepherd, F., additional, and Lok, B., additional
- Published
- 2018
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- View/download PDF
12. Exploring cellular subpopulations in glioblastoma and matched organoids using single-cell RNA-seq
- Author
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Nassiri, F, primary, Nejad, R, additional, Yasheng, M, additional, Torchia, J, additional, Aldape, K, additional, and Zadeh, G, additional
- Published
- 2018
- Full Text
- View/download PDF
13. Integrated (epi)-Genomic Analyses Identify Subgroup-Specific Therapeutic Targets in CNS Rhabdoid Tumors.
- Author
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Torchia, J, Golbourn, B, Feng, S, Ho, KC, Sin-Chan, P, Vasiljevic, A, Norman, JD, Guilhamon, P, Garzia, L, Agamez, NR, Lu, M, Chan, TS, Picard, D, de Antonellis, P, Khuong-Quang, D-A, Planello, AC, Zeller, C, Barsyte-Lovejoy, D, Lafay-Cousin, L, Letourneau, L, Bourgey, M, Yu, M, Gendoo, DMA, Dzamba, M, Barszczyk, M, Medina, T, Riemenschneider, AN, Morrissy, AS, Ra, Y-S, Ramaswamy, V, Remke, M, Dunham, CP, Yip, S, Ng, H-K, Lu, J-Q, Mehta, V, Albrecht, S, Pimentel, J, Chan, JA, Somers, GR, Faria, CC, Roque, L, Fouladi, M, Hoffman, LM, Moore, AS, Wang, Y, Choi, SA, Hansford, JR, Catchpoole, D, Birks, DK, Foreman, NK, Strother, D, Klekner, A, Bognár, L, Garami, M, Hauser, P, Hortobágyi, T, Wilson, B, Hukin, J, Carret, A-S, Van Meter, TE, Hwang, EI, Gajjar, A, Chiou, S-H, Nakamura, H, Toledano, H, Fried, I, Fults, D, Wataya, T, Fryer, C, Eisenstat, DD, Scheinemann, K, Fleming, AJ, Johnston, DL, Michaud, J, Zelcer, S, Hammond, R, Afzal, S, Ramsay, DA, Sirachainan, N, Hongeng, S, Larbcharoensub, N, Grundy, RG, Lulla, RR, Fangusaro, JR, Druker, H, Bartels, U, Grant, R, Malkin, D, McGlade, CJ, Nicolaides, T, Tihan, T, Phillips, J, Majewski, J, Montpetit, A, Bourque, G, Bader, GD, Reddy, AT, Gillespie, GY, Warmuth-Metz, M, Rutkowski, S, Tabori, U, Lupien, M, Brudno, M, Schüller, U, Pietsch, T, Judkins, AR, Hawkins, CE, Bouffet, E, Kim, S-K, Dirks, PB, Taylor, MD, Erdreich-Epstein, A, Arrowsmith, CH, De Carvalho, DD, Rutka, JT, Jabado, N, Huang, A, Torchia, J, Golbourn, B, Feng, S, Ho, KC, Sin-Chan, P, Vasiljevic, A, Norman, JD, Guilhamon, P, Garzia, L, Agamez, NR, Lu, M, Chan, TS, Picard, D, de Antonellis, P, Khuong-Quang, D-A, Planello, AC, Zeller, C, Barsyte-Lovejoy, D, Lafay-Cousin, L, Letourneau, L, Bourgey, M, Yu, M, Gendoo, DMA, Dzamba, M, Barszczyk, M, Medina, T, Riemenschneider, AN, Morrissy, AS, Ra, Y-S, Ramaswamy, V, Remke, M, Dunham, CP, Yip, S, Ng, H-K, Lu, J-Q, Mehta, V, Albrecht, S, Pimentel, J, Chan, JA, Somers, GR, Faria, CC, Roque, L, Fouladi, M, Hoffman, LM, Moore, AS, Wang, Y, Choi, SA, Hansford, JR, Catchpoole, D, Birks, DK, Foreman, NK, Strother, D, Klekner, A, Bognár, L, Garami, M, Hauser, P, Hortobágyi, T, Wilson, B, Hukin, J, Carret, A-S, Van Meter, TE, Hwang, EI, Gajjar, A, Chiou, S-H, Nakamura, H, Toledano, H, Fried, I, Fults, D, Wataya, T, Fryer, C, Eisenstat, DD, Scheinemann, K, Fleming, AJ, Johnston, DL, Michaud, J, Zelcer, S, Hammond, R, Afzal, S, Ramsay, DA, Sirachainan, N, Hongeng, S, Larbcharoensub, N, Grundy, RG, Lulla, RR, Fangusaro, JR, Druker, H, Bartels, U, Grant, R, Malkin, D, McGlade, CJ, Nicolaides, T, Tihan, T, Phillips, J, Majewski, J, Montpetit, A, Bourque, G, Bader, GD, Reddy, AT, Gillespie, GY, Warmuth-Metz, M, Rutkowski, S, Tabori, U, Lupien, M, Brudno, M, Schüller, U, Pietsch, T, Judkins, AR, Hawkins, CE, Bouffet, E, Kim, S-K, Dirks, PB, Taylor, MD, Erdreich-Epstein, A, Arrowsmith, CH, De Carvalho, DD, Rutka, JT, Jabado, N, and Huang, A
- Abstract
We recently reported that atypical teratoid rhabdoid tumors (ATRTs) comprise at least two transcriptional subtypes with different clinical outcomes; however, the mechanisms underlying therapeutic heterogeneity remained unclear. In this study, we analyzed 191 primary ATRTs and 10 ATRT cell lines to define the genomic and epigenomic landscape of ATRTs and identify subgroup-specific therapeutic targets. We found ATRTs segregated into three epigenetic subgroups with distinct genomic profiles, SMARCB1 genotypes, and chromatin landscape that correlated with differential cellular responses to a panel of signaling and epigenetic inhibitors. Significantly, we discovered that differential methylation of a PDGFRB-associated enhancer confers specific sensitivity of group 2 ATRT cells to dasatinib and nilotinib, and suggest that these are promising therapies for this highly lethal ATRT subtype.
- Published
- 2016
14. ATYPICAL TERATOID RHABDOID TUMOUR
- Author
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Bertozzi, A. I., primary, Munzer, C., additional, Fouyssac, F., additional, Andre, N., additional, Boetto, S., additional, Leblond, P., additional, Bourdeaut, F., additional, Dufour, C., additional, Deshpande, R. K., additional, Bhat, K. G., additional, Mahalingam, S., additional, Muscat, A., additional, Cain, J., additional, Ferguson, M., additional, Popovski, D., additional, Algar, E., additional, Rossello, F. J., additional, Jayasekara, S., additional, Watkins, D. N., additional, Hodge, J., additional, Ashley, D., additional, Hishii, M., additional, Saito, M., additional, Arai, H., additional, Han, Z. Y., additional, Richer, W., additional, Lucchesi, C., additional, Freneaux, P., additional, Nicolas, A., additional, Grison, C., additional, Pierron, G., additional, Delattre, O., additional, Epari, S., additional, TS, N., additional, Gupta, T., additional, Chinnaswamy, G., additional, Sastri, J. G., additional, Shetty, P., additional, Moiyadi, A., additional, Jalali, R., additional, Fay-McClymont, T., additional, Johnston, D., additional, Janzen, L., additional, Guger, S., additional, Scheinemann, K., additional, Fleming, A., additional, Fryer, C., additional, Hukin, J., additional, Mabbott, D., additional, Huang, A., additional, Bouffet, E., additional, Lafay-Cousin, L., additional, Kawamura, A., additional, Yamamoto, K., additional, Nagashima, T., additional, Bartelheim, K., additional, Benesch, M., additional, Buchner, J., additional, Gerss, J., additional, Hasselblatt, M., additional, Kortmann, R.-D., additional, Fleischack, G., additional, Quiroga, E., additional, Reinhard, H., additional, Schneppenheim, R., additional, Seeringer, A., additional, Siebert, R., additional, Timmermann, B., additional, Warmuth-Metz, M., additional, Schmid, I., additional, Fruhwald, M. C., additional, Kerl, K., additional, Klingebiel, T., additional, Al-Kofide, A., additional, Khafaga, Y., additional, Al-Hindi, H., additional, Dababo, M., additional, Ul-Haq, A., additional, Anas, M., additional, Barria, M. G., additional, Siddiqui, K., additional, Hassounah, M., additional, Ayas, M., additional, Al-Shail, E., additional, Jeibmann, A., additional, Eikmeier, K., additional, Linge, A., additional, Johann, P., additional, Koos, B., additional, Kool, M., additional, Pfister, S. M., additional, Paulus, W., additional, Schuller, U., additional, Junckerstorff, R., additional, Rosenblum, M. K., additional, Alassiri, A. H., additional, Rossi, S., additional, Gottardo, N., additional, Toledano, H., additional, Viscardi, E., additional, Witkowski, L., additional, Nagel, I., additional, Oyen, F., additional, Foulkes, W. D., additional, Schrey, D., additional, Malietzis, G., additional, Chi, S., additional, Marshall, L., additional, Carceller, F., additional, Moreno, L., additional, Zacharoulis, S., additional, Bhardwaj, R., additional, Chakravadhanula, M., additional, Ozals, V., additional, Hampton, C., additional, Metpally, R., additional, Grillner, P., additional, Asmundsson, J., additional, Gustavsson, B., additional, Holm, S., additional, Johann, P. D., additional, Korshunov, A., additional, Ryzhova, M., additional, Milde, T., additional, Witt, O., additional, Jones, D. T. W., additional, Hovestadt, V., additional, Gajjar, A., additional, Fruhwald, M., additional, Pfister, S., additional, Finetti, M., additional, Pons, A. d. C., additional, Selby, M., additional, Smith, A., additional, Crosier, S., additional, Wood, J., additional, Skalkoyannis, B., additional, Bailey, S., additional, Clifford, S., additional, Williamson, D., additional, Rutkowski, S., additional, Kortmann, R. D., additional, Graf, N., additional, Boos, J., additional, Nysom, K., additional, Moreno, N., additional, Holsten, T., additional, Ahlfeld, J., additional, Mertins, J., additional, Hotfilder, M., additional, Schleicher, S., additional, Handgretinger, R., additional, Meisterernst, M., additional, Schmidt, C., additional, Dittmar, S., additional, Chan, G. C. F., additional, Shing, M. M. K., additional, Yuen, H. L., additional, Li, R. C. H., additional, Ling, S. L., additional, Slavc, I., additional, Peyrl, A., additional, Chocholous, M., additional, Azizi, A., additional, Czech, T., additional, Dieckmann, K., additional, Haberler, C., additional, Leiss, U., additional, Gotti, G., additional, Biassoni, V., additional, Schiavello, E., additional, Spreafico, F., additional, Pecori, E., additional, Gandola, L., additional, Massimino, M., additional, Kornelius, K., additional, Yano, H., additional, Nakayama, N., additional, Ohe, N., additional, Ozeki, M., additional, Kanda, K., additional, Kimura, T., additional, Hori, T., additional, Fukao, T., additional, Iwama, T., additional, Weil, A. G., additional, Diaz, A., additional, Gernsback, J., additional, Bhatia, S., additional, Ragheb, J., additional, Niazi, T., additional, Khatib, Z., additional, Zoghbi, A., additional, Meisterernst, a. M., additional, Birks, D., additional, Griesinger, A., additional, Amani, V., additional, Donson, A., additional, Posner, R., additional, Dunham, C., additional, Kleinschmidt-DeMasters, B. K., additional, Handler, M., additional, Vibhakar, R., additional, Foreman, N., additional, Zhou, L., additional, Catchpoole, D., additional, Kakkar, A., additional, Biswas, A., additional, Suri, V., additional, Sharma, M., additional, Kale, S., additional, Mahapatra, A., additional, Sarkar, C., additional, Torchia, J., additional, Picard, D., additional, Ho, K. C., additional, Khuong-Quang, D.-A., additional, Louterneau, L., additional, Bourgey, M., additional, Chan, T., additional, Golbourn, B., additional, Cousin, L.-L., additional, Taylor, M. D., additional, Dirks, P., additional, Rutka, J. T., additional, Hawkins, C., additional, Majewski, J., additional, Kim, S.-K., additional, Jabado, N., additional, Chang, J. H.-C., additional, Confer, M., additional, Chang, A., additional, Goldman, S., additional, Dunn, M., additional, and Hartsell, W., additional
- Published
- 2014
- Full Text
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15. Critical Components of the Pluripotency Network Are Targets for the p300/CBP Interacting Protein (p/CIP) in Embryonic Stem Cells
- Author
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Chitilian, J.M., primary, Thillainadesan, G., additional, Manias, J.L., additional, Chang, W.Y., additional, Walker, E., additional, Isovic, M., additional, Stanford, W.L., additional, and Torchia, J., additional
- Published
- 2014
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- View/download PDF
16. Poster Abstract #11: Brain Microdialysate and Plasma Concentrations of Inosine During Intravenous Inosine Infusion in Conscious Rats
- Author
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CUSACK, N, primary, HURTT, M, additional, KATNER, S, additional, TORCHIA, J, additional, SOLOMON, B, additional, GUINN, R, additional, ROHDE, C, additional, and THORNE, C, additional
- Published
- 2008
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17. Estrogen Deficiency Induces Bone Loss in Mice Lacking ITAM Adapter Proteins, DAP12 and FcRg (89.31)
- Author
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Wu, Y., primary, Torchia, J., additional, Yao, W., additional, Lane, N. E., additional, Lanier, L. L., additional, Nakamura, M. C., additional, and Humphrey, M. B., additional
- Published
- 2007
- Full Text
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18. Biochemical characterization of the zinc-finger protein 217 transcriptional repressor complex: identification of a ZNF217 consensus recognition sequence
- Author
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Cowger, J J M, primary, Zhao, Q, additional, Isovic, M, additional, and Torchia, J, additional
- Published
- 2006
- Full Text
- View/download PDF
19. A complex containing N-CoR, mSin3 and histone deacetylase mediates transcriptional repression
- Author
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Heinzel, T., Lavinsky, R. M., Mullen, T. M., Söderström, Mats, Laherty, C. D., Torchia, J., Yang, W. M., Brard, G., Ngo, S. D., Davie, J. R., Seto, E., Eisenman, R. N., Rose, D. W., Glass, C. K., Rosenfeld, M. G., Heinzel, T., Lavinsky, R. M., Mullen, T. M., Söderström, Mats, Laherty, C. D., Torchia, J., Yang, W. M., Brard, G., Ngo, S. D., Davie, J. R., Seto, E., Eisenman, R. N., Rose, D. W., Glass, C. K., and Rosenfeld, M. G.
- Abstract
Transcriptional repression by nuclear receptors has been correlated to binding of the putative co-repressor, N-CoR. A complex has been identified that contains N-CoR, the Mad presumptive co-repressor mSin3, and the histone deacetylase mRPD3, and which is required for both nuclear receptor- and Mad-dependent repression, but not for repression by transcription factors of the ets-domain family. These data predict that the ligand-induced switch of heterodimeric nuclear receptors from repressor to activator functions involves the exchange of complexes containing histone deacetylases with those that have histone acetylase activity.
- Published
- 1997
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20. Ligand-independent repression by the thyroid hormone receptor mediated by a nuclear receptor co-repressor
- Author
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Hörlein, A. J., Näär, A. M., Heinzel, T., Torchia, J., Gloss, B., Kurokawa, R., Ryan, A., Kamei, Y., Söderström, Mats, Glass, C. K., Rosenfeld, M. G., Hörlein, A. J., Näär, A. M., Heinzel, T., Torchia, J., Gloss, B., Kurokawa, R., Ryan, A., Kamei, Y., Söderström, Mats, Glass, C. K., and Rosenfeld, M. G.
- Abstract
Thyroid-hormone and retinoic-acid receptors exert their regulatory functions by acting as both activators and repressors of gene expression. A nuclear receptor co-repressor (N-CoR) of relative molecular mass 270K has been identified which mediates ligand-independent inhibition of gene transcription by these receptors, suggesting that the molecular mechanisms of repression by thyroid-hormone and retinoic-acid receptors are analogous to the co-repressor-dependent transcriptional inhibitory mechanisms of yeast and Drosophila.
- Published
- 1995
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21. Mechanisms of transcriptional activation by retinoic acid receptors
- Author
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Glass, C. K., primary, Rosenfeld, M. G., additional, Rose, D. W., additional, Kurokawa, R., additional, Kamel, Y., additional, Xu, L., additional, Torchia, J., additional, Ogliastro, M.-H., additional, and Westin, S., additional
- Published
- 1997
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22. Carbachol-stimulated phosphorylation of the Na-K-Cl cotransporter of avian salt gland. Requirement for Ca2+ and PKC Activation.
- Author
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Torchia, J, primary, Yi, Q, additional, and Sen, A K, additional
- Published
- 1994
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23. The Na-K-Cl cotransporter of avian salt gland. Phosphorylation in response to cAMP-dependent and calcium-dependent secretogogues.
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Torchia, J, primary, Lytle, C, additional, Pon, D.J., additional, Forbush, B, additional, and Sen, A.K., additional
- Published
- 1992
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24. Carbachol-stimulated phosphorylation of a 170-kDa endogenous protein in avian salt gland cells
- Author
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Torchia, J., primary, Qu, Y., additional, Francis, J., additional, Pon, D. J., additional, and Sen, A. K., additional
- Published
- 1991
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25. Thermochemistry of N<INF>3</INF>O<INF>2</INF><SUP>-</SUP>
- Author
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Torchia, J. W., Sullivan, K. O., and Sunderlin, L. S.
- Abstract
N
3 O2 - has been formed by the addition of 0.4 Torr of N2 O to a flowing afterglow apparatus. Energy-resolved collision-induced dissociation of this anion gives NO- as the dominant product. O- and N2 O- are also observed, and there is indirect evidence for electron detachment. The NO-−N2 O bond energy at 0 K is measured to be 0.76 ± 0.10 eV. Ab initio calculations at the MP2/aug-cc-pVDZ level give a bond strength of 0.78 eV, in good agreement with the experimental results. The predominance of NO- over N2 O- is consistent with a metastable N2 O- anion. The results suggest that dissociative photodetachment of N3 O2 - gives highly internally excited products.- Published
- 1999
26. Determinants of coactivator LXXLL motif specificity in nuclear receptor transcriptional activation.
- Author
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McInerney, E M, Rose, D W, Flynn, S E, Westin, S, Mullen, T M, Krones, A, Inostroza, J, Torchia, J, Nolte, R T, Assa-Munt, N, Milburn, M V, Glass, C K, and Rosenfeld, M G
- Abstract
Ligand-dependent activation of gene transcription by nuclear receptors is dependent on the recruitment of coactivators, including a family of related NCoA/SRC factors, via a region containing three helical domains sharing an LXXLL core consensus sequence, referred to as LXDs. In this manuscript, we report receptor-specific differential utilization of LXXLL-containing motifs of the NCoA-1/SRC-1 coactivator. Whereas a single LXD is sufficient for activation by the estrogen receptor, different combinations of two, appropriately spaced, LXDs are required for actions of the thyroid hormone, retinoic acid, peroxisome proliferator-activated, or progesterone receptors. The specificity of LXD usage in the cell appears to be dictated, at least in part, by specific amino acids carboxy-terminal to the core LXXLL motif that may make differential contacts with helices 1 and 3 (or 3') in receptor ligand-binding domains. Intriguingly, distinct carboxy-terminal amino acids are required for PPARgamma activation in response to different ligands. Related LXXLL-containing motifs in NCoA-1/SRC-1 are also required for a functional interaction with CBP, potentially interacting with a hydrophobic binding pocket. Together, these data suggest that the LXXLL-containing motifs have evolved to serve overlapping roles that are likely to permit both receptor-specific and ligand-specific assembly of a coactivator complex, and that these recognition motifs underlie the recruitment of coactivator complexes required for nuclear receptor function.
- Published
- 1998
27. Catabolism of leukotriene A4 into B4, C4, and D4 by rat liver subcellular fractions
- Author
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Pace-Asciak, C.R., primary, Klein, J., additional, Lombard, S., additional, Torchia, J., additional, and Rokach, J., additional
- Published
- 1985
- Full Text
- View/download PDF
28. 870 Exhaled nitric oxide levels during the early and late-phase allergic reaction after pulmonart allergen challenge
- Author
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Romero, F.A, Curtis, G, Kotschwar, T, Mahon, L.D, Showalter, M, Torchia, J, Yordt, S.A, Pasha, M, and Townley, R.G
- Published
- 2000
- Full Text
- View/download PDF
29. 17 Pre- and post-testing of comprehensive asthma education in asthmatic children at camp superkids®
- Author
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Mahon, L.D, Romero, F.A, Showalter, M.L, Torchia, J, Yordt, S.A, and Townley, R.G
- Published
- 2000
- Full Text
- View/download PDF
30. Co-activators and co-repressors in the integration of transcriptional responses
- Author
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Torchia, J
- Published
- 1998
- Full Text
- View/download PDF
31. Intertumoral Heterogeneity within Medulloblastoma Subgroups
- Author
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Luca Massimi, Caterina Giannini, Betty Luu, Cynthia Hawkins, Byung Kyu Cho, James T. Rutka, G. Yancey Gillespie, Timothy E. Van Meter, Almos Klekner, Young Shin Ra, Carolina Nor, Anna Goldenberg, Rajeev Vibhakar, Hideo Nakamura, Gaetano Finocchiaro, Massimo Zollo, John Peacock, Marta Perek-Polnik, Keren Isaev, Alvaro Lassaletta, Amulya A. Nageswara Rao, Florence M.G. Cavalli, Maura Massimino, Livia Garzia, Jüri Reimand, Charles G. Eberhart, Maryam Fouladi, Enrique López-Aguilar, Annie Huang, Cécile Faure-Conter, Gary D. Bader, Jaume Mora, Ho Keung Ng, James M. Olson, Jennifer A. Chan, Erwin G. Van Meir, Daniela Pretti da Cunha Tirapelli, Hamza Farooq, Fernando Chico Ponce de León, Linda M. Liau, Kay Ka Wai Li, Shenandoah Robinson, Anne Jouvet, Tomoko Shofuda, José Pimentel, Reid C. Thompson, Yuan Yao Thompson, Ian F. Pollack, Nada Jabado, Boleslaw Lach, Pim J. French, Joshua B. Rubin, Eric Bouffet, Alexandre Vasiljevic, Ali G. Saad, Michael K. Cooper, Satoru Osuka, Peter B. Dirks, Jaroslav Sterba, Johan M. Kros, Claudia C. Faria, Kyu-Chang Wang, Seung-Ki Kim, Shin Jung, Craig Daniels, A. Sorana Morrissy, Ladislav Rampášek, Andrew R. Hallahan, Sarah Leary, Wiesława Grajkowska, Uri Tabori, Marc Remke, Samer K. Elbabaa, Michael D. Taylor, Andrew S. Moore, Toshihiro Kumabe, Mario Perezpeña-Diazconti, Vijay Ramaswamy, Ronald L. Hamilton, Claudia M. Kuzan-Fischer, Marie Lise C. van Veelen, Helen Wheeler, Michal Zapotocky, Ji Yeoun Lee, David Shih, Jeffrey R. Leonard, Karel Zitterbart, Carlos Gilberto Carlotti, Steffen Albrecht, Jonathon Torchia, Peter Hauser, Ute Bartels, William A. Weiss, Sameer Agnihotri, Lola B. Chambless, Neurosurgery, Pathology, Neurology, Cavalli, Fmg, Remke, M, Rampasek, L, Peacock, J, Shih, Djh, Luu, B, Garzia, L, Torchia, J, Nor, C, Morrissy, A, Agnihotri, S, Thompson, Yy, Kuzan-Fischer, Cm, Farooq, H, Isaev, K, Daniels, C, Cho, Bk, Kim, Sk, Wang, Kc, Lee, Jy, Grajkowska, Wa, Perek-Polnik, M, Vasiljevic, A, Faure-Conter, C, Jouvet, A, Giannini, C, Nageswara Rao, Aa, Li, Kkw, Ng, Hk, Eberhart, Cg, Pollack, If, Hamilton, Rl, Gillespie, Gy, Olson, Jm, Leary, S, Weiss, Wa, Lach, B, Chambless, Lb, Thompson, Rc, Cooper, Mk, Vibhakar, R, Hauser, P, van Veelen, Mc, Kros, Jm, French, Pj, Ra, Y, Kumabe, T, López-Aguilar, E, Zitterbart, K, Sterba, J, Finocchiaro, G, Massimino, M, Van Meir, Eg, Osuka, S, Shofuda, T, Klekner, A, Zollo, M, Leonard, Jr, Rubin, Jb, Jabado, N, Albrecht, S, Mora, J, Van Meter, Te, Jung, S, Moore, A, Hallahan, Ar, Chan, Ja, Tirapelli, Dpc, Carlotti, Cg, Fouladi, M, Pimentel, J, Faria, Cc, Saad, Ag, Massimi, L, Liau, Lm, Wheeler, H, Nakamura, H, Elbabaa, Sk, Perezpeña-Diazconti, M, Chico Ponce de León, F, Robinson, S, Zapotocky, M, Lassaletta, A, Huang, Weiping, Hawkins, Ce, Tabori, U, Bouffet, E, Bartels, U, Dirks, Pb, Rutka, Jt, Bader, Gd, Reimand, J, Goldenberg, A, Ramaswamy, V, Taylor, Md, Cavalli F.M.G., Remke M., Rampasek L., Peacock J., Shih D.J.H., Luu B., Garzia L., Torchia J., Nor C., Morrissy A.S., Agnihotri S., Thompson Y.Y., Kuzan-Fischer C.M., Farooq H., Isaev K., Daniels C., Cho B.-K., Kim S.-K., Wang K.-C., Lee J.Y., Grajkowska W.A., Perek-Polnik M., Vasiljevic A., Faure-Conter C., Jouvet A., Giannini C., Nageswara Rao A.A., Li K.K.W., Ng H.-K., Eberhart C.G., Pollack I.F., Hamilton R.L., Gillespie G.Y., Olson J.M., Leary S., Weiss W.A., Lach B., Chambless L.B., Thompson R.C., Cooper M.K., Vibhakar R., Hauser P., van Veelen M.-L.C., Kros J.M., French P.J., Ra Y.S., Kumabe T., Lopez-Aguilar E., Zitterbart K., Sterba J., Finocchiaro G., Massimino M., Van Meir E.G., Osuka S., Shofuda T., Klekner A., Zollo M., Leonard J.R., Rubin J.B., Jabado N., Albrecht S., Mora J., Van Meter T.E., Jung S., Moore A.S., Hallahan A.R., Chan J.A., Tirapelli D.P.C., Carlotti C.G., Fouladi M., Pimentel J., Faria C.C., Saad A.G., Massimi L., Liau L.M., Wheeler H., Nakamura H., Elbabaa S.K., Perezpena-Diazconti M., Chico Ponce de Leon F., Robinson S., Zapotocky M., Lassaletta A., Huang A., Hawkins C.E., Tabori U., Bouffet E., Bartels U., Dirks P.B., Rutka J.T., Bader G.D., Reimand J., Goldenberg A., Ramaswamy V., and Taylor M.D.
- Subjects
0301 basic medicine ,Cancer Research ,medulloblastoma ,CURRENT CONSENSUS ,copy number ,Bioinformatics ,subgroups ,Cohort Studies ,Individual data ,Cluster Analysis ,R PACKAGE ,Precision Medicine ,GENECHIP DATA ,Sonic hedgehog ,ADULT MEDULLOBLASTOMA ,DNA Copy Number Variation ,Cancer ,Pediatric ,Genomics ,methylation ,CANCER ,3. Good health ,Oncology ,DNA methylation ,Human ,Pediatric Research Initiative ,DNA Copy Number Variations ,Pediatric Cancer ,Oncology and Carcinogenesis ,Computational biology ,Biology ,Article ,CLASSIFICATION ,Homogeneous clusters ,03 medical and health sciences ,Rare Diseases ,Genetics ,medicine ,Humans ,Oncology & Carcinogenesis ,Cerebellar Neoplasms ,RECURRENCE ,neoplasms ,Medulloblastoma ,Cluster Analysi ,gene expression ,MUTATIONS ,subgroup ,Gene Expression Profiling ,Human Genome ,Neurosciences ,integrative clustering ,DNA Methylation ,medicine.disease ,Precision medicine ,MEDULOBLASTOMA ,Brain Disorders ,nervous system diseases ,Brain Cancer ,Gene expression profiling ,stomatognathic diseases ,030104 developmental biology ,Genomic ,biology.protein ,MOLECULAR SUBGROUPS ,GENOMIC DATA ,Cohort Studie - Abstract
While molecular subgrouping has revolutionized medulloblastoma classification, the extent of heterogeneity within subgroups is unknown. Similarity network fusion (SNF) applied to genome-wide DNA methylation and gene expression data across 763 primary samples identifies very homogeneous clusters of patients, supporting the presence of medulloblastoma subtypes. After integration of somatic copy-number alterations, and clinical features specific to each cluster, we identify 12 different subtypes of medulloblastoma. Integrative analysis using SNF further delineates group 3 from group 4 medulloblastoma, which is not as readily apparent through analyses of individual data types. Two clear subtypes of infants with Sonic Hedgehog medulloblastoma with disparate outcomes and biology are identified. Medulloblastoma subtypes identified through integrative clustering have important implications for stratification of future clinical trials.
- Published
- 2017
32. Catabolism of leukotriene A 4 into B 4, C 4, and D 4 by rat liver subcellular fractions
- Author
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Pace-Asciak, C.R., Klein, J., Lombard, S., Torchia, J., and Rokach, J.
- Published
- 1985
- Full Text
- View/download PDF
33. Integrated (epi)-Genomic Analyses Identify Subgroup-Specific Therapeutic Targets in CNS Rhabdoid Tumors
- Author
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Constanze Zeller, Joseph D. Norman, Man Yu, Jian Qiang Lu, Doug Strother, Miklós Garami, C. Jane McGlade, Seung-Ki Kim, Misko Dzamba, Ronald Grant, David D. Eisenstat, Beverly Wilson, Anat Erdreich-Epstein, Almos Klekner, A. Sorana Morrissy, Richard Grundy, Young Shin Ra, Joanna J. Phillips, Alexandre Montpetit, Takafumi Wataya, Alexander R. Judkins, Shayna Zelcer, Nicholas K. Foreman, Rishi Lulla, Aline Cristiane Planello, Marc Remke, Harriet Druker, Annie Huang, Torsten Pietsch, José Pimentel, Jordan R. Hansford, Lindsey M. Hoffman, Mark Barszczyk, Tarik Tihan, Eugene Hwang, Vivek Mehta, László Bognár, Louis Letourneau, Donna L. Johnston, Stephen Yip, Lucie Lafay-Cousin, Mei Lu, Pasqualino De Antonellis, Katrin Scheinemann, Deena M.A. Gendoo, Shengrui Feng, James T. Rutka, G. Yancey Gillespie, Ho Keung Ng, Robert Hammond, David Malkin, Lúcia Roque, Anne Sophie Carret, King Ching Ho, Helen Toledano, Jennifer A. Chan, Monika Warmuth-Metz, Jacek Majewski, Jonathon Torchia, Livia Garzia, Stefan Rutkowski, Gino R. Somers, Tibor Hortobágyi, Ute Bartels, Peter Hauser, Ulrich Schüller, Cynthia Hawkins, Shih Hwa Chiou, Eric Bouffet, Adam Fleming, Alexandra N. Riemenschneider, Timothy E. Van Meter, Vijay Ramaswamy, Hideo Nakamura, Tiago Medina, Alexandre Vasiljevic, Noppadol Larbcharoensub, Patrick Sin-Chan, Christopher Dunham, Theodore Nicolaides, Iris Fried, Daniel Picard, Maryam Fouladi, Chris Fryer, Brian Golbourn, Mathieu Bourgey, Jean Michaud, Claudia C. Faria, Gary D. Bader, Mathieu Lupien, Amar Gajjar, Guillaume Bourque, Peter B. Dirks, Steffen Albrecht, Suradej Hongeng, Cheryl H. Arrowsmith, Uri Tabori, David A. Ramsay, Dalia Barsyte-Lovejoy, Paul Guilhamon, Michael Brudno, Nada Jabado, Juliette Hukin, Dong Anh Khuong-Quang, Michael D. Taylor, Tiffany Chan, Natalia R. Agamez, Daniel D. De Carvalho, Nongnuch Sirachainan, Samina Afzal, Seung Ah Choi, Diane K. Birks, Daniel W. Fults, Andrew S. Moore, Alyssa Reddy, Jason Fangusaro, Daniel Catchpoole, Yin Wang, Torchia, J., Golbourn, B., Feng, S., Ho, K. C., Sin-Chan, P., Vasiljevic, A., Norman, J. D., Guilhamon, P., Garzia, L., Agamez, N. R., Lu, M., Chan, T. S., Picard, D., de Antonellis, P., Khuong-Quang, D. -A., Planello, A. C., Zeller, C., Barsyte-Lovejoy, D., Lafay-Cousin, L., Letourneau, L., Bourgey, M., Yu, M., Gendoo, D. M. A., Dzamba, M., Barszczyk, M., Medina, T., Riemenschneider, A. N., Morrissy, A. S., Ra, Y. -S., Ramaswamy, V., Remke, M., Dunham, C. P., Yip, S., Ng, H. -K., Lu, J. -Q., Mehta, V., Albrecht, S., Pimentel, J., Chan, J. A., Somers, G. R., Faria, C. C., Roque, L., Fouladi, M., Hoffman, L. M., Moore, A. S., Wang, Y., Choi, S. A., Hansford, J. R., Catchpoole, D., Birks, D. K., Foreman, N. K., Strother, D., Klekner, A., Bognar, L., Garami, M., Hauser, P., Hortobagyi, T., Wilson, B., Hukin, J., Carret, A. -S., Van Meter, T. E., Hwang, E. I., Gajjar, A., Chiou, S. -H., Nakamura, H., Toledano, H., Fried, I., Fults, D., Wataya, T., Fryer, C., Eisenstat, D. D., Scheinemann, K., Fleming, A. J., Johnston, D. L., Michaud, J., Zelcer, S., Hammond, R., Afzal, S., Ramsay, D. A., Sirachainan, N., Hongeng, S., Larbcharoensub, N., Grundy, R. G., Lulla, R. R., Fangusaro, J. R., Druker, H., Bartels, U., Grant, R., Malkin, D., Mcglade, C. J., Nicolaides, T., Tihan, T., Phillips, J., Majewski, J., Montpetit, A., Bourque, G., Bader, G. D., Reddy, A. T., Gillespie, G. Y., Warmuth-Metz, M., Rutkowski, S., Tabori, U., Lupien, M., Brudno, M., Schuller, U., Pietsch, T., Judkins, A. R., Hawkins, C. E., Bouffet, E., Kim, S. -K., Dirks, P. B., Taylor, M. D., Erdreich-Epstein, A., Arrowsmith, C. H., De Carvalho, D. D., Rutka, J. T., Jabado, N., and Huang, A.
- Subjects
Epigenomics ,0301 basic medicine ,Cancer Research ,Dasatinib ,1109 Neurosciences, 1112 Oncology and Carcinogenesis ,ATRT ,Epigenesis, Genetic ,Central Nervous System Neoplasms ,genomic ,SMARCB1 ,Epigenesis ,Central Nervous System Neoplasm ,Teratoma ,SMARCB1 Protein ,Orvostudományok ,Chromatin ,3. Good health ,Oncology ,DNA methylation ,subgroup-specific therapeutic ,Human ,medicine.drug ,Epigenomic ,Cell Survival ,Protein Kinase Inhibitor ,Biology ,Klinikai orvostudományok ,Article ,Receptor, Platelet-Derived Growth Factor beta ,03 medical and health sciences ,Cell Line, Tumor ,medicine ,Humans ,Oncology & Carcinogenesis ,Epigenetics ,Protein Kinase Inhibitors ,rhabdoid tumor ,Rhabdoid Tumor ,Cell Proliferation ,Cancer ,DNA Methylation ,medicine.disease ,Pyrimidines ,030104 developmental biology ,Pyrimidine ,Mutation ,Cancer research ,enhancer - Abstract
We recently reported that atypical teratoid rhabdoid tumors (ATRTs) comprise at least two transcriptional subtypes with different clinical outcomes; however, the mechanisms underlying therapeutic heterogeneity remained unclear. In this study, we analyzed 191 primary ATRTs and 10 ATRT cell lines to define the genomic and epigenomic landscape of ATRTs and identify subgroup-specific therapeutic targets. We found ATRTs segregated into three epigenetic subgroups with distinct genomic profiles, SMARCB1 genotypes, and chromatin landscape that correlated with differential cellular responses to a panel of signaling and epigenetic inhibitors. Significantly, we discovered that differential methylation of a PDGFRB-associated enhancer confers specific sensitivity of group 2 ATRT cells to dasatinib and nilotinib, and suggest that these are promising therapies for this highly lethal ATRT subtype.
- Published
- 2016
34. Deformable image registration for composite planned doses during adaptive radiation therapy.
- Author
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Torchia J and Velec M
- Subjects
- Humans, Radiotherapy Planning, Computer-Assisted methods, Image Processing, Computer-Assisted methods, Radiographic Image Interpretation, Computer-Assisted methods, Head and Neck Neoplasms diagnostic imaging, Head and Neck Neoplasms radiotherapy, Sarcoma diagnostic imaging, Sarcoma radiotherapy
- Abstract
Introduction: Some patients have significant anatomic changes during radiotherapy, necessitating an adaptive repeat CT-simulation and re-planning. This yields two unique planning datasets that introduce uncertainty into total dose records. This study explored the impact of using deformable image registration (DIR) to spatially align repeat CT-simulation images and calculate total planned dose distributions., Materials & Methods: Data from 5 head-and-neck, 5 lung, and 5 sarcoma patients who had unanticipated re-planning during radiotherapy were analyzed in a treatment planning system (RayStation v6.1 RaySearch Laboratories). Total planned doses to normal tissues were calculated using two methods and the previously generated manual contours defined on each CT. The first method, termed 'parameter addition', simply sums the relevant DVH metrics from the initial and re-planned distributions without spatially registering the CTs. The second, termed 'dose accumulation', uses a validated hybrid contour/intensity-based DIR algorithm to deform initial CT and dose distribution onto the repeat CT and re-planning dose distribution. DVH metrics from the summed distribution on the repeat CT are then calculated. Dose differences for organs-at-risk between parameter addition and dose accumulation ≥100 cGy were assumed to be clinically relevant. To elucidate whether relevant differences were due to registration accuracy or contouring variability between CTs, the analysis was repeated using contours on the first CT and the same contours deformed to the repeat CT with DIR., Results: For all patients, high overall DIR accuracy was verified visually (qualitatively) and numerically (quantitatively) using image similarity and contour-based metrics. All head-and-neck and lung patients, and one sarcoma patient (11 of 15 total) had dose differences between parameter addition and dose accumulation ≥100 cGy, with absolute mean differences of 160 cGy (range 101-436 cGy) seen in 41 of 205 total DVH criteria. In 22 of these 41 criteria, these differences were attributed to contouring variability between CTs. After correcting for contouring variations using DIR, the mean absolute differences in 7 of these 22 criteria with a relevant result (across 6 patients) was 146 cGy (range 100-502 cGy). In only 4 DVH criteria, the DIR mapped contours had higher variations than the original contours. One lung patient had a DVH criteria exceeding the clinical dose constraint by 125 cGy with parameter addition, and with accurate DIR and dose accumulation, the criteria was actually 97 cGy lower than the constraint., Conclusions: The use of DIR to generate total planned dose records revealed substantial dose differences in most cases compared to commonly used clinical methods (i.e. parameter addition), and altered the planned acceptance criteria in a minority. DIR is recommended to be used for future adaptive re-plans to generate total planned dose records and facilitate accurate re-contouring. More accurate dose records may also improve our understanding of clinical outcomes., (Copyright © 2024. Published by Elsevier Inc.)
- Published
- 2024
- Full Text
- View/download PDF
35. Identifying Mechanisms of Resistance by Circulating Tumor DNA in EVOLVE, a Phase II Trial of Cediranib Plus Olaparib for Ovarian Cancer at Time of PARP Inhibitor Progression.
- Author
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Lheureux S, Prokopec SD, Oldfield LE, Gonzalez-Ochoa E, Bruce JP, Wong D, Danesh A, Torti D, Torchia J, Fortuna A, Singh S, Irving M, Marsh K, Lam B, Speers V, Yosifova A, Oaknin A, Madariaga A, Dhani NC, Bowering V, Oza AM, and Pugh TJ
- Subjects
- Humans, Female, Poly(ADP-ribose) Polymerase Inhibitors therapeutic use, Poly(ADP-ribose) Polymerase Inhibitors pharmacology, BRCA1 Protein genetics, BRCA2 Protein genetics, Circulating Tumor DNA genetics, Ovarian Neoplasms drug therapy, Ovarian Neoplasms genetics, Ovarian Neoplasms pathology, Antineoplastic Agents therapeutic use, Cell-Free Nucleic Acids genetics
- Abstract
Purpose: To evaluate the use of blood cell-free DNA (cfDNA) to identify emerging mechanisms of resistance to PARP inhibitors (PARPi) in high-grade serous ovarian cancer (HGSOC)., Experimental Design: We used targeted sequencing (TS) to analyze 78 longitudinal cfDNA samples collected from 30 patients with HGSOC enrolled in a phase II clinical trial evaluating cediranib (VEGF inhibitor) plus olaparib (PARPi) after progression on PARPi alone. cfDNA was collected at baseline, before treatment cycle 2, and at end of treatment. These were compared with whole-exome sequencing (WES) of baseline tumor tissues., Results: At baseline (time of initial PARPi progression), cfDNA tumor fractions were 0.2% to 67% (median, 3.25%), and patients with high ctDNA levels (>15%) had a higher tumor burden (sum of target lesions; P = 0.043). Across all timepoints, cfDNA detected 74.4% of mutations known from prior tumor WES, including three of five expected BRCA1/2 reversion mutations. In addition, cfDNA identified 10 novel mutations not detected by WES, including seven TP53 mutations annotated as pathogenic by ClinVar. cfDNA fragmentation analysis attributed five of these novel TP53 mutations to clonal hematopoiesis of indeterminate potential (CHIP). At baseline, samples with significant differences in mutant fragment size distribution had shorter time to progression (P = 0.001)., Conclusions: Longitudinal testing of cfDNA by TS provides a noninvasive tool for detection of tumor-derived mutations and mechanisms of PARPi resistance that may aid in directing patients to appropriate therapeutic strategies. With cfDNA fragmentation analyses, CHIP was identified in several patients and warrants further investigation., (©2023 The Authors; Published by the American Association for Cancer Research.)
- Published
- 2023
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- View/download PDF
36. Regulation of Chromatin Accessibility by the Farnesoid X Receptor Is Essential for Circadian and Bile Acid Homeostasis In Vivo.
- Author
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Hassan HM, Onabote O, Isovic M, Passos DT, Dick FA, and Torchia J
- Abstract
The Farnesoid X Receptor (FXR) belongs to the nuclear receptor superfamily and is an essential bile acid (BA) receptor that regulates the expression of genes involved in the metabolism of BAs. FXR protects the liver from BA overload, which is a major etiology of hepatocellular carcinoma. Herein, we investigated the changes in gene expression and chromatin accessibility in hepatocytes by performing RNA-seq in combination with the Assay for Transposase-Accessible Chromatin with high-throughput sequencing (ATAC-seq) using a novel FXR knockout mouse model ( Fxr
ex5Δ : Nr1h4ex5Δ/ex5Δ ) generated through CRISPR/Cas9. Consistent with previous Fxr knockout models, we found that Fxrex5Δ mice develop late-onset HCC associated with increased serum and hepatic BAs. FXR deletion was associated with a dramatic loss of chromatin accessibility, primarily at promoter-associated transcription factor binding sites. Importantly, several genes involved in BA biosynthesis and circadian rhythm were downregulated following loss of FXR, also displayed reduced chromatin accessibility at their promoter regions. Altogether, these findings suggest that FXR helps to maintain a transcriptionally active state by regulating chromatin accessibility through its binding and recruitment of transcription factors and coactivators.- Published
- 2022
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- View/download PDF
37. The Role of Thymine DNA Glycosylase in Transcription, Active DNA Demethylation, and Cancer.
- Author
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Onabote O, Hassan HM, Isovic M, and Torchia J
- Abstract
DNA methylation is an essential covalent modification that is required for growth and development. Once considered to be a relatively stable epigenetic mark, many studies have established that DNA methylation is dynamic. The 5-methylcytosine (5-mC) mark can be removed through active DNA demethylation in which 5-mC is converted to an unmodified cytosine through an oxidative pathway coupled to base excision repair (BER). The BER enzyme Thymine DNA Glycosylase (TDG) plays a key role in active DNA demethylation by excising intermediates of 5-mC generated by this process. TDG acts as a key player in transcriptional regulation through its interactions with various nuclear receptors and transcription factors, in addition to its involvement in classical BER and active DNA demethylation, which serve to protect the stability of the genome and epigenome, respectively. Recent animal studies have identified a connection between the loss of Tdg and the onset of tumorigenesis. In this review, we summarize the recent findings on TDG's function as a transcriptional regulator as well as the physiological relevance of TDG and active DNA demethylation in cancer.
- Published
- 2022
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38. Tumor genomic, transcriptomic, and immune profiling characterizes differential response to first-line platinum chemotherapy in high grade serous ovarian cancer.
- Author
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Weberpals JI, Pugh TJ, Marco-Casanova P, Goss GD, Andrews Wright N, Rath P, Torchia J, Fortuna A, Jones GN, Roudier MP, Bernard L, Lo B, Torti D, Leon A, Marsh K, Hodgson D, Duciaume M, Howat WJ, Lukashchuk N, Lazic SE, Whelan D, and Sekhon HS
- Subjects
- Adult, Aged, Aged, 80 and over, Antineoplastic Combined Chemotherapy Protocols therapeutic use, Ataxia Telangiectasia Mutated Proteins genetics, B7-H1 Antigen metabolism, Carboplatin administration & dosage, Class I Phosphatidylinositol 3-Kinases genetics, Cystadenocarcinoma, Serous drug therapy, Cystadenocarcinoma, Serous pathology, Cytoreduction Surgical Procedures, Female, Gene Amplification, Gene Expression Profiling, Genes, BRCA1, Genes, BRCA2, Genes, p53, Humans, MDS1 and EVI1 Complex Locus Protein genetics, Middle Aged, Mutation, Neoplasm Proteins metabolism, Nuclear Proteins genetics, Nuclear Proteins metabolism, Ovarian Neoplasms drug therapy, Ovarian Neoplasms pathology, Paclitaxel administration & dosage, Progression-Free Survival, Repressor Proteins metabolism, Retrospective Studies, Time Factors, Treatment Outcome, Exome Sequencing, Cystadenocarcinoma, Serous genetics, Cystadenocarcinoma, Serous immunology, Ovarian Neoplasms genetics, Ovarian Neoplasms immunology, Transcriptome genetics
- Abstract
Background: In high grade serous ovarian cancer (HGSOC), there is a spectrum of sensitivity to first line platinum-based chemotherapy. This study molecularly characterizes HGSOC patients from two distinct groups of chemotherapy responders (good vs. poor)., Methods: Following primary debulking surgery and intravenous carboplatin/paclitaxel, women with stage III-IV HGSOC were grouped by response. Patients in the good response (GR) and poor response (PR) groups respectively had a progression-free intervals (PFI) of ≥12 and ≤6 months. Analysis of surgical specimens interrogated genomic and immunologic features using whole exome sequencing. RNA-sequencing detected gene expression outliers and inference of immune infiltrate, with validation by targeted NanoString arrays. PD-L1 expression was scored by immunohistochemistry (IHC)., Results: A total of 39 patient samples were analyzed (GR = 20; PR = 19). Median PFI for GR and PR patient cohorts was 32 and 3 months, respectively. GR tumors were enriched for loss-of-function BRCA2 mutations and had a significantly higher nonsynonymous mutation rate compared to PR tumors (p = 0.001). Samples from the PR cohort were characterized by mutations in MGA and RAD51B and trended towards a greater rate of amplification of PIK3CA, MECOM, and ATR in comparison to GR tumors. Gene expression analysis by NanoString correlated increased PARP4 with PR and increased PD-L1 and EMSY with GR. There was greater tumor immune cell infiltration and higher immune cell PD-L1 protein expression in the GR group., Conclusions: Our research demonstrates that tumors from HGSOC patients responding poorly to first line chemotherapy have a distinct molecular profile characterized by actionable drug targets including PARP4., (© 2021 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)
- Published
- 2021
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39. Disrupting the DREAM transcriptional repressor complex induces apolipoprotein overexpression and systemic amyloidosis in mice.
- Author
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Perampalam P, Hassan HM, Lilly GE, Passos DT, Torchia J, Kiser PK, Bozovic A, Kulasingam V, and Dick FA
- Subjects
- Amyloid genetics, Animals, Apolipoproteins A genetics, Immunoglobulin Light-chain Amyloidosis genetics, Immunoglobulin Light-chain Amyloidosis pathology, Mice, Mice, Knockout, Multiprotein Complexes genetics, Organ Specificity genetics, Retinoblastoma-Like Protein p107 metabolism, Amyloid metabolism, Apolipoproteins A metabolism, Immunoglobulin Light-chain Amyloidosis metabolism, Multiprotein Complexes immunology, Retinoblastoma-Like Protein p107 deficiency
- Abstract
DREAM (Dp, Rb-like, E2F, and MuvB) is a transcriptional repressor complex that regulates cell proliferation, and its loss causes neonatal lethality in mice. To investigate DREAM function in adult mice, we used an assembly-defective p107 protein and conditional deletion of its redundant family member p130. In the absence of DREAM assembly, mice displayed shortened survival characterized by systemic amyloidosis but no evidence of excessive cellular proliferation. Amyloid deposits were found in the heart, liver, spleen, and kidneys but not the brain or bone marrow. Using laser-capture microdissection followed by mass spectrometry, we identified apolipoproteins as the most abundant components of amyloids. Intriguingly, apoA-IV was the most detected amyloidogenic protein in amyloid deposits, suggesting apoA-IV amyloidosis (AApoAIV). AApoAIV is a recently described form, whereby WT apoA-IV has been shown to predominate in amyloid plaques. We determined by ChIP that DREAM directly regulated Apoa4 and that the histone variant H2AZ was reduced from the Apoa4 gene body in DREAM's absence, leading to overexpression. Collectively, we describe a mechanism by which epigenetic misregulation causes apolipoprotein overexpression and amyloidosis, potentially explaining the origins of nongenetic amyloid subtypes.
- Published
- 2021
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40. TDG is a novel tumor suppressor of liver malignancies.
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Hassan HM, Isovic M, Underhill MT, and Torchia J
- Abstract
In a recent publication, we demonstrated that conditional deletion of the gene encoding thymine DNA glycosylase (TDG) leads to a late onset of hepatocellular carcinoma (HCC). TDG loss causes disruption in active DNA demethylation in the liver and dysregulation of the farnesoid X receptor and small heterodimer partner (FXR-SHP) regulatory cascade. This leads to a loss of bile acid and glucose homeostasis, which predisposes mice to HCC., (© 2020 The Author(s). Published with license by Taylor & Francis Group, LLC.)
- Published
- 2020
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41. Loss of Thymine DNA Glycosylase Causes Dysregulation of Bile Acid Homeostasis and Hepatocellular Carcinoma.
- Author
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Hassan HM, Isovic M, Kolendowski B, Bauer-Maison N, Onabote O, Cecchini M, Haig A, Maleki Vareki S, Underhill TM, and Torchia J
- Subjects
- Animals, Bile Acids and Salts genetics, Carcinoma, Hepatocellular metabolism, Female, Glucose metabolism, Hep G2 Cells, Homeostasis, Humans, Liver pathology, Liver Neoplasms metabolism, Liver Neoplasms physiopathology, Male, Mice, Mice, Inbred C57BL, Receptors, Cytoplasmic and Nuclear metabolism, Thymine DNA Glycosylase physiology, Bile Acids and Salts metabolism, Carcinoma, Hepatocellular physiopathology, Thymine DNA Glycosylase metabolism
- Abstract
Thymine DNA glycosylase (TDG) is a nuclear receptor coactivator that plays an essential role in the maintenance of epigenetic stability in cells. Here, we demonstrate that the conditional deletion of TDG in adult mice results in a male-predominant onset of hepatocellular carcinoma (HCC). TDG loss leads to a prediabetic state, as well as bile acid (BA) accumulation in the liver and serum of male mice. Consistent with these data, TDG deletion led to dysregulation of the farnesoid X receptor (FXR) and small heterodimer partner (SHP) regulatory cascade in the liver. FXR and SHP are tumor suppressors of HCC and play an essential role in BA and glucose homeostasis. These results indicate that TDG functions as a tumor suppressor of HCC by regulating a transcriptional program that protects against the development of glucose intolerance and BA accumulation in the liver., Competing Interests: Declaration of Interests The authors declare no competing interests., (Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.)
- Published
- 2020
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42. Isoform-specific promotion of breast cancer tumorigenicity by TBX3 involves induction of angiogenesis.
- Author
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Krstic M, Hassan HM, Kolendowski B, Hague MN, Anborgh PH, Postenka CO, Torchia J, Chambers AF, and Tuck AB
- Subjects
- Animals, Breast Neoplasms pathology, Cell Line, Tumor, Female, Humans, Mice, Mice, Nude, Neovascularization, Pathologic pathology, Osteopontin metabolism, Breast Neoplasms metabolism, Neovascularization, Pathologic metabolism, Protein Isoforms chemistry, Protein Isoforms genetics, Protein Isoforms metabolism, T-Box Domain Proteins chemistry, T-Box Domain Proteins genetics, T-Box Domain Proteins metabolism
- Abstract
TBX3 is a member of the highly conserved family of T-box transcription factors involved in embryogenesis, organogenesis and tumor progression. While the functional role of TBX3 in tumorigenesis has been widely studied, less is known about the specific functions of the different isoforms (TBX3iso1 and TBX3iso2) which differ in their DNA-binding domain. We therefore sought to investigate the functional consequence of this highly conserved splice event as it relates to TBX3-induced tumorigenesis. By utilizing a nude mouse xenograft model, we have identified differential tumorigenic potential between TBX3 isoforms, with TBX3iso1 overexpression more commonly associated with invasive carcinoma and high tumor vascularity. Transcriptional analysis of signaling pathways altered by TBX3iso1 and TBX3iso2 overexpression revealed significant differences in angiogenesis-related genes. Importantly, osteopontin (OPN), a cancer-associated secreted phosphoprotein, was significantly up-regulated with TBX3iso1 (but not TBX3iso2) overexpression. This pattern was observed across three non/weakly-tumorigenic breast cancer cell lines (21PT, 21NT, and MCF7). Up-regulation of OPN in TBX3iso1 overexpressing cells was associated with induction of hyaluronan synthase 2 (HAS2) expression and increased retention of hyaluronan in pericellular matrices. These transcriptional changes were accompanied by the ability to induce endothelial cell vascular channel formation by conditioned media in vitro, which could be inhibited through addition of an OPN neutralizing antibody. Within the TCGA breast cancer cohort, we identified an 8.1-fold higher TBX3iso1 to TBX3iso2 transcript ratio in tumors relative to control, and this ratio was positively associated with high-tumor grade and an aggressive molecular subtype. Collectively, the described changes involving TBX3iso1-dependent promotion of angiogenesis may thus serve as an adaptive mechanism within breast cancer cells, potentially explaining differences in tumor formation rates between TBX3 isoforms in vivo. This study is the first of its kind to report significant functional differences between the two TBX3 isoforms, both in vitro and in vivo.
- Published
- 2020
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43. Mapping the Diffusion of Technology in Orthopaedic Surgery: Understanding the Spread of Arthroscopic Rotator Cuff Repair in the United States.
- Author
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Austin DC, Torchia MT, Lurie JD, Jevsevar DS, and Bell JE
- Subjects
- Aged, Female, Humans, Male, Medicare statistics & numerical data, Practice Patterns, Physicians' statistics & numerical data, Procedures and Techniques Utilization, Referral and Consultation statistics & numerical data, Socioeconomic Factors, United States, Arthroscopy statistics & numerical data, Diffusion of Innovation, Rotator Cuff Injuries surgery
- Abstract
Background: The mechanism by which surgical innovation is spread in orthopaedic surgery is not well studied. The recent widespread transition from open to arthroscopic rotator cuff repair techniques provides us with the opportunity to study the spread of new technology; doing so would be important because it is unclear how novel orthopaedic techniques disseminate across time and geography, and previous studies of innovation in healthcare may not apply to the orthopaedic community., Questions/purposes: (1) How much regional variation was associated with the adoption of arthroscopic rotator cuff repair in the United States Medicare population between 2006 and 2014 and how did this change over time? (2) In which regions of the United States was arthroscopic rotator cuff repair first adopted and how did it spread geographically? (3) Which regional factors were associated with the adoption of this new technology?, Methods: We divided the United States into 306 hospital referral regions based upon referral patterns observed in the Centers for Medicare & Medicaid Services MedPAR database, which records all Medicare hospital admissions; this has been done in numerous previous studies using methodology introduced by the Dartmouth Atlas. The proportion of arthroscopic rotator cuff repairs versus open rotator cuff repairs in each hospital referral region was calculated using adjusted procedural rates from the Medicare Part B Carrier File from 2006 to 2014, as it provided a nationwide sample of patients, and was used as a measure of adoption. A population-weighted, multivariable linear regression analysis was used to identify regional characteristics independently associated with adoption., Results: There was substantial regional variation associated with the adoption of arthroscopy for rotator cuff repair as the percentage of rotator cuff repair completed arthroscopically in 2006 ranged widely among hospital referral regions with a high of 85.3% in Provo, UT, USA, and a low of 16.7% in Seattle, WA, USA (OR 30, 95% CI 17.6 to 52.2; p < 0.001). In 2006, regions in the top quartiles for Medicare spending (+9.1%; p = 0.008) independently had higher adoption rates than those in the bottom quartile, as did regions with a greater proportion of college-educated residents (+12.0%; p = 0.009). The Northwest region (-14.4%; p = 0.009) and the presence of an academic medical center (-5.8%; p = 0.026) independently had lower adoption than other regions and those without academic medical centers. In 2014, regions in the top quartiles for Medicare spending (+5.7%; p = 0.033) and regions with a greater proportion of college-educated residents (+9.4%; p = 0.005) independently had higher adoption rates than those in the bottom quartiles, while the Northwest (-9.6%; p = 0.009) and Midwest regions (-5.1%; p = 0.017) independently had lower adoption than other regions., Conclusion: The heterogeneous diffusion of arthroscopic rotator cuff repair across the United States highlights that Medicare beneficiaries across regions did not have equal access to these procedures and that these discrepancies continued to persist over time. A higher level of education and increased healthcare spending were both associated with greater adoption in a region and conversely suggest that regions with lower education and healthcare spending may pursue innovation more slowly. There was evidence that regions with academic medical centers adopted this technology more slowly and may highlight the role that private industry and physicians in nonacademic organizations play in surgical innovation. Future studies are needed to understand if this later adoption leads to inequalities in the quality and value of surgical care delivered to patients in these regions., Level of Evidence: Level III, therapeutic study.
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- 2019
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44. A C19MC-LIN28A-MYCN Oncogenic Circuit Driven by Hijacked Super-enhancers Is a Distinct Therapeutic Vulnerability in ETMRs: A Lethal Brain Tumor.
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Sin-Chan P, Mumal I, Suwal T, Ho B, Fan X, Singh I, Du Y, Lu M, Patel N, Torchia J, Popovski D, Fouladi M, Guilhamon P, Hansford JR, Leary S, Hoffman LM, Mulcahy Levy JM, Lassaletta A, Solano-Paez P, Rivas E, Reddy A, Gillespie GY, Gupta N, Van Meter TE, Nakamura H, Wong TT, Ra YS, Kim SK, Massimi L, Grundy RG, Fangusaro J, Johnston D, Chan J, Lafay-Cousin L, Hwang EI, Wang Y, Catchpoole D, Michaud J, Ellezam B, Ramanujachar R, Lindsay H, Taylor MD, Hawkins CE, Bouffet E, Jabado N, Singh SK, Kleinman CL, Barsyte-Lovejoy D, Li XN, Dirks PB, Lin CY, Mack SC, Rich JN, and Huang A
- Subjects
- Biomarkers, Tumor, Brain Neoplasms diagnosis, Brain Neoplasms therapy, Cell Cycle genetics, Cell Transformation, Neoplastic drug effects, Cell Transformation, Neoplastic genetics, Chromosomes, Human, Pair 2, DNA Copy Number Variations, Enhancer Elements, Genetic, Epigenesis, Genetic, Gene Expression Regulation, Gene Regulatory Networks, Genetic Association Studies, Genetic Predisposition to Disease, Humans, Models, Biological, Neoplasms, Germ Cell and Embryonal diagnosis, Neoplasms, Germ Cell and Embryonal therapy, Oncogenes, Brain Neoplasms etiology, Chromosomes, Human, Pair 19, MicroRNAs genetics, Multigene Family, N-Myc Proto-Oncogene Protein genetics, Neoplasms, Germ Cell and Embryonal etiology, RNA-Binding Proteins genetics
- Abstract
Embryonal tumors with multilayered rosettes (ETMRs) are highly lethal infant brain cancers with characteristic amplification of Chr19q13.41 miRNA cluster (C19MC) and enrichment of pluripotency factor LIN28A. Here we investigated C19MC oncogenic mechanisms and discovered a C19MC-LIN28A-MYCN circuit fueled by multiple complex regulatory loops including an MYCN core transcriptional network and super-enhancers resulting from long-range MYCN DNA interactions and C19MC gene fusions. Our data show that this powerful oncogenic circuit, which entraps an early neural lineage network, is potently abrogated by bromodomain inhibitor JQ1, leading to ETMR cell death., (Copyright © 2019 Elsevier Inc. All rights reserved.)
- Published
- 2019
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45. TBX3 promotes progression of pre-invasive breast cancer cells by inducing EMT and directly up-regulating SLUG.
- Author
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Krstic M, Kolendowski B, Cecchini MJ, Postenka CO, Hassan HM, Andrews J, MacMillan CD, Williams KC, Leong HS, Brackstone M, Torchia J, Chambers AF, and Tuck AB
- Subjects
- Breast Neoplasms genetics, Breast Neoplasms pathology, Carcinoma, Intraductal, Noninfiltrating genetics, Carcinoma, Intraductal, Noninfiltrating pathology, Cell Line, Tumor, Cell Movement, Disease Progression, Female, Gene Expression Regulation, Neoplastic, Humans, Middle Aged, Neoplasm Grading, Neoplasm Invasiveness, Neoplasm Staging, Signal Transduction, Snail Family Transcription Factors genetics, T-Box Domain Proteins genetics, Up-Regulation, Breast Neoplasms metabolism, Carcinoma, Intraductal, Noninfiltrating metabolism, Epithelial-Mesenchymal Transition, Snail Family Transcription Factors metabolism, T-Box Domain Proteins metabolism
- Abstract
The acquisition of cellular invasiveness by breast epithelial cells and subsequent transition from ductal carcinoma in situ (DCIS) to invasive breast cancer is a critical step in breast cancer progression. Little is known about the molecular dynamics governing this transition. We have previously shown that overexpression of the transcriptional regulator TBX3 in DCIS-like cells increases survival, growth, and invasiveness. To explore this mechanism further and assess direct transcriptional targets of TBX3 in a high-resolution, isoform-specific context, we conducted genome-wide chromatin-immunoprecipitation (ChIP) arrays coupled with transcriptomic analysis. We show that TBX3 regulates several epithelial-mesenchymal transition (EMT)-related genes, including SLUG and TWIST1. Importantly, we demonstrate that TBX3 is a direct regulator of SLUG expression, and SLUG expression is required for TBX3-induced migration and invasion. Assessing TBX3 by immunohistochemistry in early-stage (stage 0 and stage I) breast cancers revealed high expression in low-grade lesions. Within a second independent early-stage non-high-grade cohort, we observed an association between TBX3 level in the DCIS and size of the invasive focus. Additionally, there was a positive correlation between TBX3 and SLUG, and TBX3 and TWIST1 in the invasive carcinoma. Pathway analysis revealed altered expression of several proteases and their inhibitors, consistent with the ability to degrade basement membrane in vivo. These findings strongly suggest the involvement of TBX3 in the promotion of invasiveness and progression of early-stage pre-invasive breast cancer to invasive carcinoma through the low-grade molecular pathway. © 2019 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland., (© 2019 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.)
- Published
- 2019
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46. Mapping Retinoic Acid-Dependant 5mC Derivatives in Mouse Embryonic Fibroblasts.
- Author
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Hassan HM, Underhill TM, and Torchia J
- Subjects
- Animals, Cytosine analogs & derivatives, Cytosine metabolism, DNA Methylation, Fibroblasts physiology, Kruppel-Like Transcription Factors metabolism, Methyltransferases metabolism, Mice, Molecular Structure, 5-Methylcytosine metabolism, Fibroblasts metabolism, Kruppel-Like Transcription Factors genetics, Sequence Analysis, DNA methods, Tretinoin pharmacology
- Abstract
Methylase-assisted bisulfite sequencing (MAB-seq) is a derivatization technique to evaluate the presence of 5-formylcytosine (5-fC) and 5-carboxylcytosine (5-caC) at base-pair resolution. Although MAB-seq was originally designed to study these metabolites under steady-state conditions, we have developed an alternative protocol to evaluate the dynamics of 5-fC/5-caC accumulation in response to agonists, such as all-trans retinoic acid (ATRA). In addition, this protocol utilizes a lower quantity of the M.SssI enzyme without compromising methylation efficiency and requires less bench time. Herein, we describe the use of MAB-seq assay to evaluate the generation of 5-fC/5-caC in response to ATRA in mouse embryonic fibroblasts, using the hypermethylated in cancer 1 (Hic1) locus as a model system.
- Published
- 2019
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47. Genome-wide analysis reveals a role for TDG in estrogen receptor-mediated enhancer RNA transcription and 3-dimensional reorganization.
- Author
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Kolendowski B, Hassan H, Krstic M, Isovic M, Thillainadesan G, Chambers AF, Tuck AB, and Torchia J
- Subjects
- Breast Neoplasms drug therapy, Breast Neoplasms metabolism, Cell Movement drug effects, Cell Proliferation drug effects, Cell Survival drug effects, Chromatin Immunoprecipitation, DNA Methylation, Drug Synergism, Female, Humans, MCF-7 Cells, RNA Polymerase II genetics, Thymine DNA Glycosylase genetics, Whole Genome Sequencing methods, Breast Neoplasms genetics, Enhancer Elements, Genetic, Estradiol pharmacology, Receptors, Estrogen metabolism, Sequence Analysis, RNA methods, Tamoxifen pharmacology
- Abstract
Background: The estrogen receptor (ER) is a ligand-dependant transcription factor expressed in many breast cancers and is the target of many endocrine-based cancer therapies. Genome-wide studies have shown that the ER binds to gene-specific enhancer regions in response to β-estradiol (E2) which undergo transcription producing noncoding enhancer RNA (eRNA). While eRNAs are important for transcriptional activation of neighboring genes, the mechanism remains poorly understood., Results: Using ChIP-Seq we generate a global profile of thymine DNA glycosylase (TDG), an ER coactivator that plays an essential role in DNA demethylation, in response to E2 in the MCF7 breast cancer cell line. Remarkably, we found that in response to E2 TDG localized to enhancers which also recruit ERα, RNA Pol II and other coregulators and which are marked by histone modifications indicative of active enhancers. Importantly, depletion of TDG inhibits E2-mediated transcription of eRNAs and transcription of ER-target genes. Functionally, we find that TDG both sensitizes MCF7 cells to tamoxifen-mediated cytostasis and increases migration and invasion of MCF7 cells., Conclusions: Taken together we find that TDG plays a central role in mediating transcription at a subset of enhancers and governs how MCF7 cells respond to both estrogenic and anti-estrogenic compounds and may be an effective therapeutic target.
- Published
- 2018
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48. Human papillomavirus dysregulates the cellular apparatus controlling the methylation status of H3K27 in different human cancers to consistently alter gene expression regardless of tissue of origin.
- Author
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Gameiro SF, Kolendowski B, Zhang A, Barrett JW, Nichols AC, Torchia J, and Mymryk JS
- Abstract
High-risk human papillomaviruses (HPV) cause cancer at multiple distinct anatomical locations. Regardless of the tissue of origin, most HPV positive (HPV+) cancers show highly upregulated expression of the p16 product of the cyclin-dependent kinase inhibitor 2A (CDKN2A) gene. Paradoxically, HPV+ tumor cells require continuous expression of this tumor suppressor for survival. Thus, restoration of normal p16 regulation has potential therapeutic value against HPV induced cancers. Normally, p16 transcription is tightly controlled at the epigenetic level via polycomb repressive complex-mediated tri-methylation of histone 3 lysine 27 (H3K27me3). Although a mechanism by which HPV induces p16 has been proposed based on tissue culture models, it has not been extensively validated in human tumors. In this study, we used data from over 800 human cervical and head and neck tumors from The Cancer Genome Atlas (TCGA) to test this model. We determined the impact of HPV status on expression from the CDKN2A locus, the adjacent CDKN2B locus, and transcript levels of key epigenetic regulators of these loci. As expected, HPV+ tumors from both anatomical sites exhibited high levels of p16. Furthermore, HPV+ tumors expressed higher levels of KDM6A, which demethylates H3K27me3. CpG methylation of the CDKN2A locus was also consistently altered in HPV+ tumors. This data validates previous tissue culture studies and identifies remarkable similarities between the effects of HPV on gene expression and DNA methylation in both cervical and oral tumors in large human cohorts. Furthermore, these results support a model whereby HPV-mediated dysregulation of CDKN2A transcription requires KDM6A, a potentially druggable target., Competing Interests: CONFLICTS OF INTEREST Authors declare no conflicts of interest.
- Published
- 2017
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49. Intertumoral Heterogeneity within Medulloblastoma Subgroups.
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Cavalli FMG, Remke M, Rampasek L, Peacock J, Shih DJH, Luu B, Garzia L, Torchia J, Nor C, Morrissy AS, Agnihotri S, Thompson YY, Kuzan-Fischer CM, Farooq H, Isaev K, Daniels C, Cho BK, Kim SK, Wang KC, Lee JY, Grajkowska WA, Perek-Polnik M, Vasiljevic A, Faure-Conter C, Jouvet A, Giannini C, Nageswara Rao AA, Li KKW, Ng HK, Eberhart CG, Pollack IF, Hamilton RL, Gillespie GY, Olson JM, Leary S, Weiss WA, Lach B, Chambless LB, Thompson RC, Cooper MK, Vibhakar R, Hauser P, van Veelen MC, Kros JM, French PJ, Ra YS, Kumabe T, López-Aguilar E, Zitterbart K, Sterba J, Finocchiaro G, Massimino M, Van Meir EG, Osuka S, Shofuda T, Klekner A, Zollo M, Leonard JR, Rubin JB, Jabado N, Albrecht S, Mora J, Van Meter TE, Jung S, Moore AS, Hallahan AR, Chan JA, Tirapelli DPC, Carlotti CG, Fouladi M, Pimentel J, Faria CC, Saad AG, Massimi L, Liau LM, Wheeler H, Nakamura H, Elbabaa SK, Perezpeña-Diazconti M, Chico Ponce de León F, Robinson S, Zapotocky M, Lassaletta A, Huang A, Hawkins CE, Tabori U, Bouffet E, Bartels U, Dirks PB, Rutka JT, Bader GD, Reimand J, Goldenberg A, Ramaswamy V, and Taylor MD
- Subjects
- Cluster Analysis, Cohort Studies, DNA Copy Number Variations, DNA Methylation, Gene Expression Profiling, Genomics, Humans, Medulloblastoma genetics, Medulloblastoma therapy, Medulloblastoma classification, Precision Medicine
- Abstract
While molecular subgrouping has revolutionized medulloblastoma classification, the extent of heterogeneity within subgroups is unknown. Similarity network fusion (SNF) applied to genome-wide DNA methylation and gene expression data across 763 primary samples identifies very homogeneous clusters of patients, supporting the presence of medulloblastoma subtypes. After integration of somatic copy-number alterations, and clinical features specific to each cluster, we identify 12 different subtypes of medulloblastoma. Integrative analysis using SNF further delineates group 3 from group 4 medulloblastoma, which is not as readily apparent through analyses of individual data types. Two clear subtypes of infants with Sonic Hedgehog medulloblastoma with disparate outcomes and biology are identified. Medulloblastoma subtypes identified through integrative clustering have important implications for stratification of future clinical trials., (Copyright © 2017 Elsevier Inc. All rights reserved.)
- Published
- 2017
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50. Regulation of Active DNA Demethylation through RAR-Mediated Recruitment of a TET/TDG Complex.
- Author
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Hassan HM, Kolendowski B, Isovic M, Bose K, Dranse HJ, Sampaio AV, Underhill TM, and Torchia J
- Subjects
- Animals, Dioxygenases, Gene Deletion, Gene Silencing drug effects, Kruppel-Like Transcription Factors, Membrane Proteins metabolism, Mice, Transgenic, Phosphoproteins metabolism, Tretinoin pharmacology, DNA Demethylation drug effects, DNA-Binding Proteins metabolism, Proto-Oncogene Proteins metabolism, Receptors, Retinoic Acid metabolism, Thymine DNA Glycosylase metabolism
- Abstract
Retinoic acid (RA) plays important roles in development, growth, and homeostasis through regulation of the nuclear receptors for RA (RARs). Herein, we identify Hypermethylated in Cancer 1 (Hic1) as an RA-inducible gene. HIC1 encodes a tumor suppressor, which is often silenced by promoter hypermethylation in cancer. Treatment of cells with an RAR agonist causes a rapid recruitment of an RAR/RXR complex consisting of TDG, the lysine acetyltransferase CBP, and TET 1/2 to the Hic1 promoter. Complex binding coincides with a transient accumulation of 5fC/5caC and concomitant upregulation of Hic1 expression, both of which are TDG dependent. Furthermore, conditional deletion of Tdg in vivo is associated with Hic1 silencing and DNA hypermethylation of the Hic1 promoter. These findings suggest that the catalytic and scaffolding activities of TDG are essential for RA-dependent gene expression and provide important insights into the mechanisms underlying targeting of TET-TDG complexes., (Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.)
- Published
- 2017
- Full Text
- View/download PDF
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