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25000 例患者前瞻性临床测序的转移模式的基因组特征分析。

Genomic characterization of metastatic patterns from prospective clinical sequencing of 25,000 patients.

机构信息

Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Molecular Pharmacology Program, Sloan Kettering Institute, New York, NY, USA; Urology and Renal Transplantation Service, Virginia Mason Medical Center, Seattle, WA, USA.

出版信息

Cell. 2022 Feb 3;185(3):563-575.e11. doi: 10.1016/j.cell.2022.01.003.

Abstract

Metastatic progression is the main cause of death in cancer patients, whereas the underlying genomic mechanisms driving metastasis remain largely unknown. Here, we assembled MSK-MET, a pan-cancer cohort of over 25,000 patients with metastatic diseases. By analyzing genomic and clinical data from this cohort, we identified associations between genomic alterations and patterns of metastatic dissemination across 50 tumor types. We found that chromosomal instability is strongly correlated with metastatic burden in some tumor types, including prostate adenocarcinoma, lung adenocarcinoma, and HR+/HER2+ breast ductal carcinoma, but not in others, including colorectal cancer and high-grade serous ovarian cancer, where copy-number alteration patterns may be established early in tumor development. We also identified somatic alterations associated with metastatic burden and specific target organs. Our data offer a valuable resource for the investigation of the biological basis for metastatic spread and highlight the complex role of chromosomal instability in cancer progression.

摘要

转移进展是癌症患者死亡的主要原因,而驱动转移的潜在基因组机制在很大程度上仍不清楚。在这里,我们组建了 MSK-MET,这是一个包含超过 25000 名转移性疾病患者的泛癌症队列。通过分析来自该队列的基因组和临床数据,我们在 50 种肿瘤类型中发现了基因组改变与转移扩散模式之间的关联。我们发现,在某些肿瘤类型中,包括前列腺腺癌、肺腺癌和 HR+/HER2+乳腺导管癌,染色体不稳定性与转移负担强烈相关,但在其他肿瘤类型中则不然,包括结直肠癌和高级别浆液性卵巢癌,在这些肿瘤类型中,拷贝数改变模式可能在肿瘤发展的早期就已经建立。我们还鉴定出与转移负担和特定靶器官相关的体细胞改变。我们的数据为研究转移扩散的生物学基础提供了有价值的资源,并强调了染色体不稳定性在癌症进展中的复杂作用。

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