Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Victor J Weigman"'
Autor:
Jan Budczies, David Fabrizio, H. Mellert, Mark Li, M. Butler, Phillip Stafford, K. Eyring, Diana Merino Vega, Mark Stewart, Dinesh Cyanam, Kristen Meier, Chen Zhao, Paul M. Williams, Justin Newberg, Warren Tom, Sarabjot Pabla, Ethan Sokol, A. Stenzinger, V.R. Gregersen, Vincent Funari, P. Beer, Roberto Salgado, Lisa M. McShane, G. Pestano, Jen-Hao Cheng, L.K. Bruce, Mingchao Xie, Laura M. Yee, J. Carl Barrett, Jeffrey M. Conroy, Laura Lasiter, R. Samara, Victor J. Weigman, George Green, Jonathan F. Baden, Tomas Vilimas, Jeff Allen, Matthew D. Hellmann, K.C. Valkenburg, Ahmet Zehir, A. J. Lazar, Elizabeth P. Garcia, Laura E. MacConaill, Laurel Keefer, Shu-Jen Chen, X.Z. Wang, Li Chen, A. Pallavajjalla, Yingdong Zhao, Q. Xie
Publikováno v:
Annals of Oncology. 32:1626-1636
Background Tumor mutational burden (TMB) measurements aid in identifying patients who are likely to benefit from immunotherapy; however, there is empirical variability across panel assays and factors contributing to this variability have not been com
Autor:
Jon S. Zawistowski, Isai Salas-Gonzalez, Tia A. Tate, Tatiana V. Morozova, Katherine Kennedy, Durga M. Arvapalli, Swetha D. Velivela, Jamie E. Remington, Josh Croteau, Kevin Taylor, Jeff G. Blackinton, Victor J. Weigman, Jeffrey R. Marks, Eun-Sil Shelley Hwang, Gary L. Harton, Jay A. West
Publikováno v:
Cancer Research. 83:5933-5933
The ResolveOME™ single-cell amplification solution unites whole-genome and full-length transcriptome information from the same cell, providing critical insight between these layers not possible when analyzed in isolation. We expand here upon the co
Autor:
Jon S. Zawistowski, Isai Salas-González, Tatiana V. Morozova, Jeff G. Blackinton, Tia Tate, Durga Arvapalli, Swetha Velivela, Gary L. Harton, Jeffrey R. Marks, E. Shelley Hwang, Victor J. Weigman, Jay A.A. West
Discovering genomic variation in the absence of information about transcriptional consequence of that variation or, conversely, a transcriptional signature without understanding underlying genomic contributions, hinders understanding of molecular mec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f02b57120e0460e9c1b8272715c52b35
https://doi.org/10.1101/2022.04.29.489440
https://doi.org/10.1101/2022.04.29.489440
Autor:
Vikas Gupta, Arnaud Papin, Warren Tom, Mingchao Xie, Elizabeth P. Garcia, Christopher D. Gocke, Lauryn Keeler, Jen-Hao Cheng, Laura E. MacConaill, Brett Kennedy, Lisa Haley, David Fabrizio, Ethan Sokol, Jeff Allen, Sean T. Glenn, Laurel Keefer, Jeffrey M. Conroy, J. Carl Barrett, Shu-Jen Chen, Matthew D. Hellmann, Laura M. Yee, Lisa M. McShane, Alexander J. Lazar, Diana M. Merino, Chen Zhao, Rajesh Patidar, Victor J. Weigman, Vincent Funari, Naiyer A. Rizvi, Kristen Meier, John F. Thompson, Kenneth R. Eyring, Tomas Vilimas, Mark Stewart, Dinesh Cyanam, Phillip Stafford, P. Mickey Williams
Publikováno v:
Cancer Research. 80:5671-5671
Introduction: Tumor mutational burden (TMB) is the number of somatic mutations per megabase in a tumor's genome and has shown promise as a predictive biomarker of response to immune checkpoint inhibitors across several cancers. TMB is typically measu
Autor:
Richard Bourgon, Yinghui Guan, Garret Hampton, Shan Lu, Yibing Yan, David Wang, Hartmut Koeppen, Weiru Wang, Yulei Wang, Mark R. Lackner, Lisa Ryner, Lukas C. Amler, Victor J. Weigman, Rajesh Patel
Publikováno v:
Clinical Cancer Research. 20:2080-2091
Purpose: Tailoring cancer treatment to tumor molecular characteristics promises to make personalized medicine a reality. However, reliable genetic profiling of archived clinical specimens has been hindered by limited sensitivity and high false-positi
Autor:
Victor J. Weigman, Rajiv Raja, Tingting Jiang, Stephanie B. Hastings, Philip Brohawn, Gunjan Hariani, Chen Zhao, Patrick Hurban, Traci Pawlowski
Publikováno v:
Cancer Research. 79:1346-1346
Checkpoint inhibitor (CPI) therapy demonstrates a remarkable clinical benefit in many cancer types. However, the ability to successfully select patients who will benefit from CPIs is still limited. Tumor mutational burden (TMB), a measure of the numb
Autor:
Shu-Jen Chen, Victor J Weigman, Chen Zhao, Arnaud Papin, Matthew James Butler, Laura E. MacConaill, Vincent Funari, David Fabrizio, Ahmet Zehir, Aparna Pallavajjala, Diana M. Merino, Jeffrey M. Conroy, Ruchi Chaudhary, Paul M. Williams, Wangjuh Sting Chen, Matthew D. Hellmann, Mark Sausen, Lisa M. McShane, Mingchao Xie
Publikováno v:
Journal of Clinical Oncology. 37:2624-2624
2624 Background: Tumor mutational burden (TMB) is a predictive biomarker of response to immune checkpoint inhibitors across multiple cancers. In Phase 1 of the Friends of Cancer Research Harmonization Project, we demonstrated a robust correlation bet
Autor:
Joel S. Parker, Hann Hsiang Chao, Silje H. Nordgard, Charles M. Perou, Andrey A. Shabalin, Chika Nwachukwu, Tatyana A. Grushko, Vessela N. Kristensen, Anne Lise Børresen-Dale, Dezheng Huo, Victor J. Weigman, Xiaping He, Andrew B. Nobel, Olufunmilayo I. Olopade
Publikováno v:
Breast Cancer Research and Treatment
Breast cancer is a heterogeneous disease with known expression-defined tumor subtypes. DNA copy number studies have suggested that tumors within gene expression subtypes share similar DNA Copy number aberrations (CNA) and that CNA can be used to furt
Autor:
Silje H. Nordgard, Peter Van Loo, Anders Zetterberg, Anne Lise Børresen-Dale, Inga H. Rye, Wei Sun, Vessela N. Kristensen, Victor J. Weigman, Charles M. Perou, Ole Christian Lingjærde, Hege G. Russnes, Bjørn Naume, Peter Marynen
Publikováno v:
Proceedings of the National Academy of Sciences. 107:16910-16915
We present an allele-specific copy number analysis of the in vivo breast cancer genome. We describe a unique bioinformatics approach, ASCAT (allele-specific copy number analysis of tumors), to accurately dissect the allele-specific copy number of sol
Autor:
Robert A. Jones, Jason I. Herschkowitz, Huiqin Li, Charles M. Perou, Eldad Zacksenhaus, Victor J. Weigman, Tao Deng, Ming-Sound Tsao, Timothy F. Lane, Jeff C. Liu, Zhe Jiang
Publikováno v:
Journal of Clinical Investigation. 120:3296-3309
Breast cancer is a highly heterogeneous disease, with several different subtypes being characterized by distinct histology, gene expression patterns, and genetic alterations. The tumor suppressor gene retinoblastoma 1 (RB1) is frequently lost in both