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Pancreatic Neoplasms: HELP
Articles by Catherine A. O'Brien
Based on 2 articles published since 2010
(Why 2 articles?)
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Between 2010 and 2020, Catherine O'Brien wrote the following 2 articles about Pancreatic Neoplasms.
 
+ Citations + Abstracts
1 Article Sensitive tumour detection and classification using plasma cell-free DNA methylomes. 2018

Shen, Shu Yi / Singhania, Rajat / Fehringer, Gordon / Chakravarthy, Ankur / Roehrl, Michael H A / Chadwick, Dianne / Zuzarte, Philip C / Borgida, Ayelet / Wang, Ting Ting / Li, Tiantian / Kis, Olena / Zhao, Zhen / Spreafico, Anna / Medina, Tiago da Silva / Wang, Yadon / Roulois, David / Ettayebi, Ilias / Chen, Zhuo / Chow, Signy / Murphy, Tracy / Arruda, Andrea / O'Kane, Grainne M / Liu, Jessica / Mansour, Mark / McPherson, John D / O'Brien, Catherine / Leighl, Natasha / Bedard, Philippe L / Fleshner, Neil / Liu, Geoffrey / Minden, Mark D / Gallinger, Steven / Goldenberg, Anna / Pugh, Trevor J / Hoffman, Michael M / Bratman, Scott V / Hung, Rayjean J / De Carvalho, Daniel D. ·Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada. · Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada. · Memorial Sloan Kettering Cancer Center, New York, NY, USA. · Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada. · Genome Technologies, Ontario Institute for Cancer Research, Toronto, Ontario, Canada. · UMR_S 1236, Univ Rennes 1, Inserm, Etablissement Fran├žais du sang Bretagne, Rennes, France. · Department of Biochemistry and Molecular Medicine, UC Davis Comprehensive Cancer Center, Sacramento, CA, USA. · Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada. · Fred Litwin Centre for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada. · Department of Surgery, Toronto General Hospital, Toronto, Ontario, Canada. · Department of Computer Science, University of Toronto, Toronto, Ontario, Canada. · Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada. rayjean.hung@lunenfeld.ca. · Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada. rayjean.hung@lunenfeld.ca. · Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada. ddecarv@uhnresearch.ca. · Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada. ddecarv@uhnresearch.ca. ·Nature · Pubmed #30429608.

ABSTRACT: The use of liquid biopsies for cancer detection and management is rapidly gaining prominence

2 Article A negative genetic interaction map in isogenic cancer cell lines reveals cancer cell vulnerabilities. 2013

Vizeacoumar, Franco J / Arnold, Roland / Vizeacoumar, Frederick S / Chandrashekhar, Megha / Buzina, Alla / Young, Jordan T F / Kwan, Julian H M / Sayad, Azin / Mero, Patricia / Lawo, Steffen / Tanaka, Hiromasa / Brown, Kevin R / Baryshnikova, Anastasia / Mak, Anthony B / Fedyshyn, Yaroslav / Wang, Yadong / Brito, Glauber C / Kasimer, Dahlia / Makhnevych, Taras / Ketela, Troy / Datti, Alessandro / Babu, Mohan / Emili, Andrew / Pelletier, Laurence / Wrana, Jeff / Wainberg, Zev / Kim, Philip M / Rottapel, Robert / O'Brien, Catherine A / Andrews, Brenda / Boone, Charles / Moffat, Jason. ·1] Donnelly Centre and Banting and Best Department of Medical Research, University of Toronto, Toronto, Ontario, Canada [2] Saskatchewan Cancer Agency, Department of Biochemistry, University of Saskatchewan, Saskatoon, Saskatchewan, Canada. ·Mol Syst Biol · Pubmed #24104479.

ABSTRACT: Improved efforts are necessary to define the functional product of cancer mutations currently being revealed through large-scale sequencing efforts. Using genome-scale pooled shRNA screening technology, we mapped negative genetic interactions across a set of isogenic cancer cell lines and confirmed hundreds of these interactions in orthogonal co-culture competition assays to generate a high-confidence genetic interaction network of differentially essential or differential essentiality (DiE) genes. The network uncovered examples of conserved genetic interactions, densely connected functional modules derived from comparative genomics with model systems data, functions for uncharacterized genes in the human genome and targetable vulnerabilities. Finally, we demonstrate a general applicability of DiE gene signatures in determining genetic dependencies of other non-isogenic cancer cell lines. For example, the PTEN(-/-) DiE genes reveal a signature that can preferentially classify PTEN-dependent genotypes across a series of non-isogenic cell lines derived from the breast, pancreas and ovarian cancers. Our reference network suggests that many cancer vulnerabilities remain to be discovered through systematic derivation of a network of differentially essential genes in an isogenic cancer cell model.