論文 - 詳細
| RRC ID | 66110 |
|---|---|
| 著者 | Kim JW, Abudayyeh OO, Yeerna H, Yeang CH, Stewart M, Jenkins RW, Kitajima S, Konieczkowski DJ, Medetgul-Ernar K, Cavazos T, Mah C, Ting S, Van Allen EM, Cohen O, Mcdermott J, Damato E, Aguirre AJ, Liang J, Liberzon A, Alexe G, Doench J, Ghandi M, Vazquez F, Weir BA, Tsherniak A, Subramanian A, Meneses-Cime K, Park J, Clemons P, Garraway LA, Thomas D, Boehm JS, Barbie DA, Hahn WC, Mesirov JP, Tamayo P. |
| タイトル | Decomposing Oncogenic Transcriptional Signatures to Generate Maps of Divergent Cellular States. |
| ジャーナル | Cell Syst |
| Abstract |
The systematic sequencing of the cancer genome has led to the identification of numerous genetic alterations in cancer. However, a deeper understanding of the functional consequences of these alterations is necessary to guide appropriate therapeutic strategies. Here, we describe Onco-GPS (OncoGenic Positioning System), a data-driven analysis framework to organize individual tumor samples with shared oncogenic alterations onto a reference map defined by their underlying cellular states. We applied the methodology to the RAS pathway and identified nine distinct components that reflect transcriptional activities downstream of RAS and defined several functional states associated with patterns of transcriptional component activation that associates with genomic hallmarks and response to genetic and pharmacological perturbations. These results show that the Onco-GPS is an effective approach to explore the complex landscape of oncogenic cellular states across cancers, and an analytic framework to summarize knowledge, establish relationships, and generate more effective disease models for research or as part of individualized precision medicine paradigms. |
| 巻・号 | 5(2) |
| ページ | 105-118.e9 |
| 公開日 | 2017-8-23 |
| DOI | 10.1016/j.cels.2017.08.002 |
| PII | S2405-4712(17)30335-6 |
| PMID | 28837809 |
| PMC | PMC5639711 |
| MeSH | Biomarkers, Tumor / metabolism Cell Line, Tumor Gene Expression Profiling / methods Gene Expression Regulation, Neoplastic* Genes, ras / genetics Genome Humans MAP Kinase Signaling System Neoplasms / genetics* Neoplasms / pathology Precision Medicine |
| IF | 8.673 |
| オルトメトリクス指標 |
オルトメトリクス指標項目
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| 最多言及媒体 | X(Twitter) |
| 各媒体での言及数の合計 | 22 |
| 過去6か月間でのオルトメトリクス指標の変動値 | 0.0 |
| リソース情報 | |
| ヒト・動物細胞 | KP4(RCB1005) |