Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Dianne Newton"'
Autor:
Li Chen, Biswajit Das, Ting-Chia Chang, Yvonne A. Evrard, Chris A. Karlovich, Alyssa Chapman, Brandie Fullmer, Ashley Hayes, Ruth Thornton, Nikitha Nair, Shahanawaz Jiwani, Lindsay Dutko, Kelly Benauer, Gloryvee Rivera, Corinne Camalier, John Carter, Suzanne Borgel, Tiffanie Miner, Chelsea McGlynn, Justine Mills, Shannon Uzelac, Tia Shearer, Lauren Hicks, Michelle Norris, Carley Border, Sergio Alcoser, Thomas Walsh, Michael Mullendore, Michelle Eugeni, Dianne Newton, Melinda G. Hollingshead, P. Mickey Williams, James H. Doroshow
Publikováno v:
Cancer Research. 83:6072-6072
Introduction: Structural variants (SVs) are a unique class of mutations which have certain therapeutic implications for the tumor. Certain SVs, such as chromosomal aneuploidy, whole-genome doubling (WGD), have specific therapeutic implications. The u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d9f6fce97020668d97e29fc5d2a9ed7
https://doi.org/10.1158/1538-7445.am2023-6072
https://doi.org/10.1158/1538-7445.am2023-6072
Autor:
Thomas S. Dexheimer, Thomas Silvers, Rene Delosh, Russell Reinhart, Chad Ogle, Zahra Davoudi, Eric Jones, Debbie Trail, John Carter, Justine Mills, Kyle Georgius, Howard Stotler, Michelle Norris, Shannon Uzelac, Suzanne Borgel, Tiffanie Minor, Luke Stockwin, Michael Mullendore, Kevin Plater, Keegan Kalmbach, Jessica Steed, Matthew Murphy, Gareth Bliss, Carrie Bonomi, Kelly Dougherty, Marion Gibson, Kevin Cooper, Dianne Newton, Cindy R. Timme, Yvonne A. Evrard, Melinda G. Hollingshead, Nathan P. Coussens, Ralph E. Parchment, James H. Doroshow, Beverly A. Teicher
Publikováno v:
Cancer Research. 83:5720-5720
There is a major need in oncology drug development to establish predictive preclinical assays with high translational relevance to patient responses. The National Cancer Institute’s Patient-Derived Models Repository (https://pdmr.cancer.gov) offers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dc770c93cecc749d787dff7c8b1bb82
https://doi.org/10.1158/1538-7445.am2023-5720
https://doi.org/10.1158/1538-7445.am2023-5720
Autor:
Peter I. Wu, Lindsay Dutko, Shahanawaz Jiwani, Li Chen, Biswajit Das, Ting-Chia Chang, Yvonne A. Evrard, Chris A. Karlovich, Alyssa Chapman, Brandie Fullmer, Ashley Hayes, Ruth Thornton, Nikitha Nair, Kelly Benauer, Gloryvee Rivera, Thomas Forbes, John Carter, Suzanne Borgel, Tiffanie Miner, Chelsea McGlynn, Justine Mills, Shannon Uzelac, Tia Shearer, Lauren Hicks, Michelle Norris, Carley Border, Sergio Alcoser, Thomas Walsh, Michael Mullendore, Michelle Eugeni, Dianne Newton, Melinda G. Hollingshead, P. M. Williams, James H. Doroshow
Publikováno v:
Cancer Research. 83:2050-2050
Background: Breast cancer is the second most common cancer in women. In 2022, it accounted for 15% of total new cancer cases and is the number four cause of death among all cancer types. To benefit from precision medicine, distinguishing molecular su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d64a43a4a3d5a16ac42b2936c7c001d2
https://doi.org/10.1158/1538-7445.am2023-2050
https://doi.org/10.1158/1538-7445.am2023-2050
Autor:
Ting-Chia Chang, Li Chen, Biswajit Das, Yvonne A. Evrard, Chris A. Karlovich, Tomas Vilimas, Alyssa Chapman, Nikitha Nair, Luis Romero, Anna J. Lee Fong, Amanda Peach, Brandie Fullmer, Lindsay Dutko, Kelly Benauer, Gloryvee Rivera, Erin Cantu, Shahanawaz Jiwani, Nastaran Neishaboori, Tomas Forbes, Corinne Camalier, Luke Stockwin, Michael Mullendore, Michelle A. Eugeni, Dianne Newton, Melinda G. Hollingshead, Mickey P. Williams, James H. Doroshow
Publikováno v:
Cancer Research. 82:1913-1913
Background: The National Cancer Institute's Patient-Derived Models Repository (NCI PDMR; pdmr.cancer.gov) is developing a variety of patient-derived xenograft (PDX) models for pre-clinical drug studies. All NCI PDMR models undergo quality control (QC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::608b45fcb5af95f88de1e2b3c298e8d2
https://doi.org/10.1158/1538-7445.am2022-1913
https://doi.org/10.1158/1538-7445.am2022-1913
Autor:
Curtis Hose, Erik Harris, John Connelly, Petreena S. Campbell, Mariaestela Ortiz, Eric Jones, Dianne Newton, Yvonne A. Evrard, Melinda Hollingshead, Ralph Parchment, Beverly A. Teicher, Nathan P. Coussens, James H. Doroshow, Annamaria Rapisarda
Publikováno v:
Cancer Research. 82:3091-3091
Patient-derived organoids (PDOrgs) are heterogeneous three-dimensional cellular clusters that have been shown to recapitulate the tumor histology and genetic alterations of their originating tissue. Numerous studies suggest the in vitro drug response
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eddd3a5a41e4eb3b50b8a1af84ff7afc
https://doi.org/10.1158/1538-7445.am2022-3091
https://doi.org/10.1158/1538-7445.am2022-3091
Autor:
Li Chen, Rini Pauly, Ting-Chia Chang, Biswajit Das, Yvonne A. Evrard, Chris A. Karlovich, Tomas Vilimas, Alyssa Chapman, Nikitha Nair, Luis Romero, Anna Lee Fong, Amanda Peach, Shahanawaz Jiwani, Nastaran Neishaboori, Lindsay Dutko, Kelly Benauer, Gloryvee Rivera, Erin Cantu, Corinne Camalier, Thomas Forbes, Michelle Gottholm-Ahalt, John Carter, Suzanne Borgel, Chelsea McGlynn, Candace Mallow, Emily Delaney, Tiffanie Miner, Michelle A. Eugeni, Dianne Newton, Melinda G. Hollingshead, P. Mickey Williams, James H. Doroshow
Publikováno v:
Cancer Research. 82:80-80
Background: The National Cancer Institute’s Patient-Derived Models Repository (NCI PDMR; https://pdmr.cancer.gov) has developed a large number of patient-derived xenograft (PDX) models from a diverse set of rare cancers. These models have been geno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10450d3c7a263b0e337c1177a78ba90c
https://doi.org/10.1158/1538-7445.am2022-80
https://doi.org/10.1158/1538-7445.am2022-80
Autor:
Dianne Newton
Publikováno v:
Day Care & Early Education. 11:45-45
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71bfa7d3d1ada207338a49feee1f6bcc
https://doi.org/10.1007/bf01616772
https://doi.org/10.1007/bf01616772