Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Ruchira Ranaweera"'
Autor:
Santiago D. Cárdenas, Constance J. Reznik, Ruchira Ranaweera, Feifei Song, Christine H. Chung, Elana J. Fertig, Jana L. Gevertz
Publikováno v:
npj Systems Biology and Applications, Vol 8, Iss 1, Pp 1-11 (2022)
Abstract The promise of precision medicine has been limited by the pervasive resistance to many targeted therapies for cancer. Inferring the timing (i.e., pre-existing or acquired) and mechanism (i.e., drug-induced) of such resistance is crucial for
Externí odkaz:
https://doaj.org/article/1199c17957c74b108d4b5b9e167bcb2a
Autor:
Genevieve Stein-O’Brien, Luciane T. Kagohara, Sijia Li, Manjusha Thakar, Ruchira Ranaweera, Hiroyuki Ozawa, Haixia Cheng, Michael Considine, Sandra Schmitz, Alexander V. Favorov, Ludmila V. Danilova, Joseph A. Califano, Evgeny Izumchenko, Daria A. Gaykalova, Christine H. Chung, Elana J. Fertig
Publikováno v:
Genome Medicine, Vol 10, Iss 1, Pp 1-22 (2018)
Abstract Background Targeted therapies specifically act by blocking the activity of proteins that are encoded by genes critical for tumorigenesis. However, most cancers acquire resistance and long-term disease remission is rarely observed. Understand
Externí odkaz:
https://doaj.org/article/840ecdadd96d4faa9799065ff37c62d1
Autor:
Thomas D Sherman, Luciane T Kagohara, Raymon Cao, Raymond Cheng, Matthew Satriano, Michael Considine, Gabriel Krigsfeld, Ruchira Ranaweera, Yong Tang, Sandra A Jablonski, Genevieve Stein-O'Brien, Daria A Gaykalova, Louis M Weiner, Christine H Chung, Elana J Fertig
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 4, p e1006935 (2018)
Bioinformatics techniques to analyze time course bulk and single cell omics data are advancing. The absence of a known ground truth of the dynamics of molecular changes challenges benchmarking their performance on real data. Realistic simulated time-
Externí odkaz:
https://doaj.org/article/0a55d63c2e434606ba55fc97bf6e811b
Autor:
Santiago D. Cardenas, Constance J. Reznik, Ruchira Ranaweera, Feifei Song, Christine H. Chung, Elana J. Fertig, Jana L. Gevertz
The promise of precision medicine has been limited by the pervasive therapeutic resistance to many targeted therapies for cancer. Inferring the timing (i.e., pre-existing or acquired) and mechanism (i.e., drug-induced) of such resistance is crucial f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2a8c1c9251da43cb53c75d97403f78d
https://doi.org/10.1101/2022.02.18.481078
https://doi.org/10.1101/2022.02.18.481078
Autor:
Manjusha Thakar, Ruchira Ranaweera, Robert M. Hughes, Hiroyuki Ozawa, Christine H. Chung, Alexander V. Favorov, Michael F. Ochs, Gabriel Krigsfeld, Genevieve Stein-O’Brien, Siân Jones, Jacob Carey, Jason D. Howard, Jimena Perez, Daria A. Gaykalova, Luciane T. Kagohara, Elana J. Fertig
Publikováno v:
Oncotarget
Patients with oncogene driven tumors are treated with targeted therapeutics including EGFR inhibitors. Genomic data from The Cancer Genome Atlas (TCGA) demonstrates molecular alterations to EGFR, MAPK, and PI3K pathways in previously untreated tumors
Autor:
Thomas D. Sherman, Daria A. Gaykalova, Raymon Cao, Genevieve Stein-O’Brien, Raymond Cheng, Louis M. Weiner, Ruchira Ranaweera, Gabriel Krigsfeld, Michael Considine, Luciane T. Kagohara, Matthew Satriano, Sandra A. Jablonski, Christine H. Chung, Yong Tang, Elana J. Fertig
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 14, Iss 4, p e1006935 (2018)
PLoS Computational Biology, Vol 14, Iss 4, p e1006935 (2018)
Bioinformatics techniques to analyze time course bulk and single cell omics data are advancing. The absence of a known ground truth of the dynamics of molecular changes challenges benchmarking their performance on real data. Realistic simulated time-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f90f881e4e4ade9cb94d3ca1c2de127a
Autor:
Stein-O’Brien, Genevieve, Kagohara, Luciane, Sijia Li, Manjusha Thakar, Ruchira Ranaweera, Ozawa, Hiroyuki, Haixia Cheng, Considine, Michael, Schmitz, Sandra, Favorov, Alexander, Danilova, Ludmila, Califano, Joseph, Izumchenko, Evgeny, Gaykalova, Daria, Chung, Christine, Fertig, Elana
Supplemental Figures S1 - S14. Figure S1 - Time course approach to induce resistance to cetuximab and measure gene expression and DNA methylation changes; Figure S2 - Anchorage-independent growth of cetuximab generation 10 (CTX-G10); Figure S3 - Heat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b5278dfb4d5c0edd998d5f0254f2697
Autor:
Hiromitsu Hatakeyama, Michael Considine, Gabriel Krigsfeld, Manjusha Thakar, Ruchira Ranaweera, Jimena Perez, Elana J. Fertig, Christine H. Chung, Haixia Cheng, Jason D. Howard, Hiroyuki Ozawa
Publikováno v:
Cancer Biology & Therapy. 16:1252-1258
Epidermal growth factor receptor (EGFR) is frequently overexpressed in head and neck squamous cell carcinoma (HNSCC) and cetuximab, a monoclonal antibody targeting this receptor, is widely used to treat these patients. In the following investigation,
Autor:
Xiaolu Yang, Ruchira Ranaweera
Publikováno v:
Journal of Biological Chemistry. 288:18939-18946
The RING domain E3 ubiquitin ligase Mdm2 is the master regulator of the tumor suppressor p53. It targets p53 for proteasomal degradation, restraining the potent activity of p53 and enabling cell survival and proliferation. Like most E3 ligases, Mdm2
Autor:
Janaki Parameswaran, Laura Martin, Jeffrey Wadsworth, Christine H. Chung, Jimmy J. Caudell, Louis B. Harrison, Nicholas T Gimbrone, Anna R. Giuliano, Juan C. Hernandez-Prera, Bruce M. Wenig, Feifei Song, Tessa Van Veen, Robbert J.C. Slebos, Janis De La Iglesia, Ruchira Ranaweera, Jude Masannat
Publikováno v:
Journal of Clinical Oncology. 36:6061-6061
6061Background: Treatments based on immune checkpoint inhibition have shown great promise in HNSCC. Comprehensive evaluation of lymphoid-inflamed tumor-immune microenvironment may contribute to the...