Your browser doesn't support javascript.
loading
Systematic Functional Annotation of Somatic Mutations in Cancer.
Ng, Patrick Kwok-Shing; Li, Jun; Jeong, Kang Jin; Shao, Shan; Chen, Hu; Tsang, Yiu Huen; Sengupta, Sohini; Wang, Zixing; Bhavana, Venkata Hemanjani; Tran, Richard; Soewito, Stephanie; Minussi, Darlan Conterno; Moreno, Daniela; Kong, Kathleen; Dogruluk, Turgut; Lu, Hengyu; Gao, Jianjiong; Tokheim, Collin; Zhou, Daniel Cui; Johnson, Amber M; Zeng, Jia; Ip, Carman Ka Man; Ju, Zhenlin; Wester, Matthew; Yu, Shuangxing; Li, Yongsheng; Vellano, Christopher P; Schultz, Nikolaus; Karchin, Rachel; Ding, Li; Lu, Yiling; Cheung, Lydia Wai Ting; Chen, Ken; Shaw, Kenna R; Meric-Bernstam, Funda; Scott, Kenneth L; Yi, Song; Sahni, Nidhi; Liang, Han; Mills, Gordon B.
Afiliación
  • Ng PK; Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Li J; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Jeong KJ; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Shao S; Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Chen H; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA.
  • Tsang YH; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
  • Sengupta S; Division of Oncology, Department of Medicine, Washington University, St. Louis, MO 63108, USA.
  • Wang Z; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Bhavana VH; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
  • Tran R; Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Soewito S; Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Minussi DC; Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Moreno D; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
  • Kong K; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
  • Dogruluk T; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
  • Lu H; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
  • Gao J; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Tokheim C; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA; Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, USA.
  • Zhou DC; Division of Oncology, Department of Medicine, Washington University, St. Louis, MO 63108, USA.
  • Johnson AM; Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Zeng J; Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Ip CKM; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Ju Z; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Wester M; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Yu S; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Li Y; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Vellano CP; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Schultz N; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Karchin R; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA; Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, USA; Department of Oncology, Johns Hopkins Medicine, Baltimore, MD 21287, USA.
  • Ding L; Division of Oncology, Department of Medicine, Washington University, St. Louis, MO 63108, USA; Siteman Cancer Center, Washington University, St. Louis, MO 63108, USA.
  • Lu Y; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Cheung LWT; HKU Shenzhen Institute of Research and Innovation, Shenzhen, China; School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR.
  • Chen K; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Shaw KR; Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Meric-Bernstam F; Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Investigational Cancer Therapeutics, The University o
  • Scott KL; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
  • Yi S; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. Electronic address: syi2@mdanderson.org.
  • Sahni N; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA. Electronic address: nsahni@mdanderson.org.
  • Liang H; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program in Quantitative and Computational Biosciences,
  • Mills GB; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Cancer Cell ; 33(3): 450-462.e10, 2018 03 12.
Article en En | MEDLINE | ID: mdl-29533785
ABSTRACT
The functional impact of the vast majority of cancer somatic mutations remains unknown, representing a critical knowledge gap for implementing precision oncology. Here, we report the development of a moderate-throughput functional genomic platform consisting of efficient mutant generation, sensitive viability assays using two growth factor-dependent cell models, and functional proteomic profiling of signaling effects for select aberrations. We apply the platform to annotate >1,000 genomic aberrations, including gene amplifications, point mutations, indels, and gene fusions, potentially doubling the number of driver mutations characterized in clinically actionable genes. Further, the platform is sufficiently sensitive to identify weak drivers. Our data are accessible through a user-friendly, public data portal. Our study will facilitate biomarker discovery, prediction algorithm improvement, and drug development.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biomarcadores de Tumor / Mutación / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Cancer Cell Asunto de la revista: NEOPLASIAS Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biomarcadores de Tumor / Mutación / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Cancer Cell Asunto de la revista: NEOPLASIAS Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos