Unknown

Dataset Information

0

Systematic Functional Annotation of Somatic Mutations in Cancer.


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.

SUBMITTER: Ng PK 

PROVIDER: S-EPMC5926201 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

Systematic Functional Annotation of Somatic Mutations in Cancer.

Ng Patrick Kwok-Shing PK   Li Jun J   Jeong Kang Jin KJ   Shao Shan S   Chen Hu H   Tsang Yiu Huen YH   Sengupta Sohini S   Wang Zixing Z   Bhavana Venkata Hemanjani VH   Tran Richard R   Soewito Stephanie S   Minussi Darlan Conterno DC   Moreno Daniela D   Kong Kathleen K   Dogruluk Turgut T   Lu Hengyu H   Gao Jianjiong J   Tokheim Collin C   Zhou Daniel Cui DC   Johnson Amber M AM   Zeng Jia J   Ip Carman Ka Man CKM   Ju Zhenlin Z   Wester Matthew M   Yu Shuangxing S   Li Yongsheng Y   Vellano Christopher P CP   Schultz Nikolaus N   Karchin Rachel R   Ding Li L   Lu Yiling Y   Cheung Lydia Wai Ting LWT   Chen Ken K   Shaw Kenna R KR   Meric-Bernstam Funda F   Scott Kenneth L KL   Yi Song S   Sahni Nidhi N   Liang Han H   Mills Gordon B GB  

Cancer cell 20180301 3


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 aberra  ...[more]

Similar Datasets

| S-EPMC8321657 | biostudies-literature
| S-EPMC2763410 | biostudies-literature
| S-EPMC3040948 | biostudies-literature
| S-EPMC4177034 | biostudies-literature
| S-EPMC9630446 | biostudies-literature
| S-EPMC5260099 | biostudies-literature
| S-DIXA-D-1117 | biostudies-other
| S-EPMC4371858 | biostudies-literature
| S-EPMC9747925 | biostudies-literature
| S-EPMC9319598 | biostudies-literature