Suppr超能文献

系统研究癌细胞系中的遗传脆弱性揭示了卵巢癌中的谱系特异性依赖性。

Systematic investigation of genetic vulnerabilities across cancer cell lines reveals lineage-specific dependencies in ovarian cancer.

机构信息

Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA.

出版信息

Proc Natl Acad Sci U S A. 2011 Jul 26;108(30):12372-7. doi: 10.1073/pnas.1109363108. Epub 2011 Jul 11.

Abstract

A comprehensive understanding of the molecular vulnerabilities of every type of cancer will provide a powerful roadmap to guide therapeutic approaches. Efforts such as The Cancer Genome Atlas Project will identify genes with aberrant copy number, sequence, or expression in various cancer types, providing a survey of the genes that may have a causal role in cancer. A complementary approach is to perform systematic loss-of-function studies to identify essential genes in particular cancer cell types. We have begun a systematic effort, termed Project Achilles, aimed at identifying genetic vulnerabilities across large numbers of cancer cell lines. Here, we report the assessment of the essentiality of 11,194 genes in 102 human cancer cell lines. We show that the integration of these functional data with information derived from surveying cancer genomes pinpoints known and previously undescribed lineage-specific dependencies across a wide spectrum of cancers. In particular, we found 54 genes that are specifically essential for the proliferation and viability of ovarian cancer cells and also amplified in primary tumors or differentially overexpressed in ovarian cancer cell lines. One such gene, PAX8, is focally amplified in 16% of high-grade serous ovarian cancers and expressed at higher levels in ovarian tumors. Suppression of PAX8 selectively induces apoptotic cell death of ovarian cancer cells. These results identify PAX8 as an ovarian lineage-specific dependency. More generally, these observations demonstrate that the integration of genome-scale functional and structural studies provides an efficient path to identify dependencies of specific cancer types on particular genes and pathways.

摘要

全面了解每种癌症的分子弱点将为指导治疗方法提供有力的路线图。像癌症基因组图谱项目(The Cancer Genome Atlas Project)这样的努力将确定各种癌症类型中具有异常拷贝数、序列或表达的基因,从而对可能在癌症中起因果作用的基因进行调查。另一种互补的方法是进行系统的功能丧失研究,以确定特定癌症类型中的必需基因。我们已经开始了一项系统的努力,称为 Achilles 项目(Project Achilles),旨在鉴定大量癌细胞系中的遗传弱点。在这里,我们报告了对 102 个人类癌细胞系中的 11194 个基因的必需性评估。我们表明,将这些功能数据与从癌症基因组调查中得出的信息相结合,可以确定广泛癌症谱中的已知和以前未描述的谱系特异性依赖性。特别是,我们发现了 54 个基因,这些基因对于卵巢癌细胞的增殖和存活是特异性必需的,并且在原发性肿瘤中扩增或在卵巢癌细胞系中差异过表达。这样的一个基因是 PAX8,在 16%的高级别浆液性卵巢癌中存在焦点扩增,并在卵巢肿瘤中表达水平更高。PAX8 的抑制选择性地诱导卵巢癌细胞的凋亡性细胞死亡。这些结果将 PAX8 鉴定为卵巢谱系特异性依赖性。更一般地说,这些观察结果表明,整合基因组规模的功能和结构研究提供了一种有效的途径,可以确定特定癌症类型对特定基因和途径的依赖性。

相似文献

1
Systematic investigation of genetic vulnerabilities across cancer cell lines reveals lineage-specific dependencies in ovarian cancer.
Proc Natl Acad Sci U S A. 2011 Jul 26;108(30):12372-7. doi: 10.1073/pnas.1109363108. Epub 2011 Jul 11.
2
A role for PAX8 in the tumorigenic phenotype of ovarian cancer cells.
BMC Cancer. 2014 Apr 26;14:292. doi: 10.1186/1471-2407-14-292.
6
SOX17 and PAX8 constitute an actionable lineage-survival transcriptional complex in ovarian cancer.
Oncogene. 2022 Mar;41(12):1767-1779. doi: 10.1038/s41388-022-02210-3. Epub 2022 Feb 5.
7
Pair Box 8 (PAX8) protein expression in high grade, late stage (stages III and IV) ovarian serous carcinoma.
Gynecol Oncol. 2012 Oct;127(1):198-201. doi: 10.1016/j.ygyno.2012.06.012. Epub 2012 Jun 15.
8
Candidate genes and pathways downstream of PAX8 involved in ovarian high-grade serous carcinoma.
Oncotarget. 2016 Jul 5;7(27):41929-41947. doi: 10.18632/oncotarget.9740.
9
Essential gene profiles in breast, pancreatic, and ovarian cancer cells.
Cancer Discov. 2012 Feb;2(2):172-189. doi: 10.1158/2159-8290.CD-11-0224. Epub 2011 Dec 29.
10
PAX8 expression in ovarian surface epithelial cells.
Hum Pathol. 2015 Jul;46(7):948-56. doi: 10.1016/j.humpath.2015.03.017. Epub 2015 Apr 15.

引用本文的文献

1
Synthetic lethality in cancer drug discovery: challenges and opportunities.
Nat Rev Drug Discov. 2025 Sep 11. doi: 10.1038/s41573-025-01273-7.
2
Integrative multi-omic analysis reveals a PAX8-driven gene network linking tumor stemness to therapy response in ovarian cancer.
NAR Genom Bioinform. 2025 Aug 27;7(3):lqaf113. doi: 10.1093/nargab/lqaf113. eCollection 2025 Sep.
3
A Comprehensive Multiomics Signature of Doxorubicin-Induced Cellular Senescence in the Postmenopausal Human Ovary.
Aging Cell. 2025 Aug;24(8):e70111. doi: 10.1111/acel.70111. Epub 2025 Jun 1.
4
Metabolic dependency mapping identifies Peroxiredoxin 1 as a driver of resistance to ATM inhibition.
Redox Biol. 2025 Mar;80:103503. doi: 10.1016/j.redox.2025.103503. Epub 2025 Jan 19.
5
The present and future of the Cancer Dependency Map.
Nat Rev Cancer. 2025 Jan;25(1):59-73. doi: 10.1038/s41568-024-00763-x. Epub 2024 Oct 28.
9
MEMO1 binds iron and modulates iron homeostasis in cancer cells.
Elife. 2024 Apr 19;13:e86354. doi: 10.7554/eLife.86354.
10
Novel LIPA-Targeted Therapy for Treating Ovarian Cancer.
Cancers (Basel). 2024 Jan 24;16(3):500. doi: 10.3390/cancers16030500.

本文引用的文献

1
Integrated genomic analyses of ovarian carcinoma.
Nature. 2011 Jun 29;474(7353):609-15. doi: 10.1038/nature10166.
2
3
Predicting relapse in patients with medulloblastoma by integrating evidence from clinical and genomic features.
J Clin Oncol. 2011 Apr 10;29(11):1415-23. doi: 10.1200/JCO.2010.28.1675. Epub 2011 Feb 28.
5
Inhibition of mutated, activated BRAF in metastatic melanoma.
N Engl J Med. 2010 Aug 26;363(9):809-19. doi: 10.1056/NEJMoa1002011.
7
SOX2 is an amplified lineage-survival oncogene in lung and esophageal squamous cell carcinomas.
Nat Genet. 2009 Nov;41(11):1238-42. doi: 10.1038/ng.465. Epub 2009 Oct 4.
8
The biology of ovarian cancer: new opportunities for translation.
Nat Rev Cancer. 2009 Jun;9(6):415-28. doi: 10.1038/nrc2644.
9
Highly parallel identification of essential genes in cancer cells.
Proc Natl Acad Sci U S A. 2008 Dec 23;105(51):20380-5. doi: 10.1073/pnas.0810485105. Epub 2008 Dec 17.
10
Ovarian carcinoma subtypes are different diseases: implications for biomarker studies.
PLoS Med. 2008 Dec 2;5(12):e232. doi: 10.1371/journal.pmed.0050232.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验