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Assigning clinical meaning to somatic and germ-line whole-exome sequencing data in a prospective cancer precision medicine study.
Ghazani, Arezou A; Oliver, Nelly M; St Pierre, Joseph P; Garofalo, Andrea; Rainville, Irene R; Hiller, Elaine; Treacy, Daniel J; Rojas-Rudilla, Vanesa; Wood, Sam; Bair, Elizabeth; Parello, Michael; Huang, Franklin; Giannakis, Marios; Wilson, Frederick H; Stover, Elizabeth H; Corsello, Steven M; Nguyen, Tom; Rana, Huma Q; Church, Alanna J; Lowenstein, Carol; Cibulskis, Carrie; Amin-Mansour, Ali; Heng, Jennifer; Brais, Lauren; Santos, Abigail; Bauer, Patrick; Waldron, Amanda; Lo, Peter; Gorman, Megan; Lydon, Christine A; Welch, Marisa; McNamara, Philip; Gabriel, Stacey; Sholl, Lynette M; Lindeman, Neal I; Garber, Judy E; Joffe, Steven; Van Allen, Eliezer M; Gray, Stacy W; Ja Nne, Pasi A; Garraway, Levi A; Wagle, Nikhil.
Affiliation
  • Ghazani AA; Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Oliver NM; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • St Pierre JP; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Garofalo A; Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Rainville IR; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Hiller E; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Treacy DJ; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Rojas-Rudilla V; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Wood S; Center for Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Bair E; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Parello M; Center for Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Huang F; Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Giannakis M; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Wilson FH; Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Stover EH; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Corsello SM; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Nguyen T; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Rana HQ; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Church AJ; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Lowenstein C; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Cibulskis C; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Amin-Mansour A; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Heng J; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Brais L; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Santos A; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Bauer P; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Waldron A; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Lo P; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Gorman M; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Lydon CA; Center for Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Welch M; Department of Pathology, Boston Children's Hospital, Boston, Massachusetts, USA.
  • McNamara P; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Gabriel S; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Sholl LM; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Lindeman NI; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Garber JE; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Joffe S; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Van Allen EM; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Gray SW; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Ja Nne PA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Garraway LA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Wagle N; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Genet Med ; 19(7): 787-795, 2017 07.
Article in En | MEDLINE | ID: mdl-28125075
PURPOSE: Implementing cancer precision medicine in the clinic requires assessing the therapeutic relevance of genomic alterations. A main challenge is the systematic interpretation of whole-exome sequencing (WES) data for clinical care. METHODS: One hundred sixty-five adults with metastatic colorectal and lung adenocarcinomas were prospectively enrolled in the CanSeq study. WES was performed on DNA extracted from formalin-fixed paraffin-embedded tumor biopsy samples and matched blood samples. Somatic and germ-line alterations were ranked according to therapeutic or clinical relevance. Results were interpreted using an integrated somatic and germ-line framework and returned in accordance with patient preferences. RESULTS: At the time of this analysis, WES had been performed and results returned to the clinical team for 165 participants. Of 768 curated somatic alterations, only 31% were associated with clinical evidence and 69% with preclinical or inferential evidence. Of 806 curated germ-line variants, 5% were clinically relevant and 56% were classified as variants of unknown significance. The variant review and decision-making processes were effective when the process was changed from that of a Molecular Tumor Board to a protocol-based approach. CONCLUSION: The development of novel interpretive and decision-support tools that draw from scientific and clinical evidence will be crucial for the success of cancer precision medicine in WES studies.Genet Med advance online publication 26 January 2017.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Precision Medicine / Exome / Exome Sequencing Type of study: Guideline / Observational_studies / Prognostic_studies Limits: Adult / Humans Language: En Journal: Genet Med Journal subject: GENETICA MEDICA Year: 2017 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Precision Medicine / Exome / Exome Sequencing Type of study: Guideline / Observational_studies / Prognostic_studies Limits: Adult / Humans Language: En Journal: Genet Med Journal subject: GENETICA MEDICA Year: 2017 Document type: Article Affiliation country: United States Country of publication: United States