Suppr超能文献

妇科恶性肿瘤中的基因组改变:组织学类型相关的驱动突变、分子分型方案及致瘤机制。

Genomic alterations in gynecological malignancies: histotype-associated driver mutations, molecular subtyping schemes, and tumorigenic mechanisms.

作者信息

Mori Seiichi, Gotoh Osamu, Kiyotani Kazuma, Low Siew Kee

机构信息

Project for Development of Innovative Research on Cancer Therapeutics, Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan.

Project for Immunogenomics, Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan.

出版信息

J Hum Genet. 2021 Sep;66(9):853-868. doi: 10.1038/s10038-021-00940-y. Epub 2021 Jun 7.

Abstract

There are numerous histological subtypes (histotypes) of gynecological malignancies, with each histotype considered to largely reflect a feature of the "cell of origin," and to be tightly linked with the clinical behavior and biological phenotype of the tumor. The recent advances in massive parallel sequencing technologies have provided a more complete picture of the range of the genomic alterations that can persist within individual tumors, and have highlighted the types and frequencies of driver-gene mutations and molecular subtypes often associated with these histotypes. Several large-scale genomic cohorts, including the Cancer Genome Atlas (TCGA), have been used to characterize the genomic features of a range of gynecological malignancies, including high-grade serous ovarian carcinoma, uterine corpus endometrial carcinoma, uterine cervical carcinoma, and uterine carcinosarcoma. These datasets have also been pivotal in identifying clinically relevant molecular targets and biomarkers, and in the construction of molecular subtyping schemes. In addition, the recent widespread use of clinical sequencing for the more ubiquitous types of gynecological cancer has manifested in a series of large genomic datasets that have allowed the characterization of the genomes, driver mutations, and histotypes of even rare cancer types, with sufficient statistical power. Here, we review the field of gynecological cancer, and seek to describe the genomic features by histotype. We also will demonstrate how these are linked with clinicopathological attributes and highlight the potential tumorigenic mechanisms.

摘要

妇科恶性肿瘤有众多组织学亚型(组织类型),每种组织类型在很大程度上被认为反映了“起源细胞”的特征,并与肿瘤的临床行为和生物学表型紧密相关。大规模平行测序技术的最新进展使人们对个体肿瘤中可能存在的基因组改变范围有了更全面的了解,并突出了驱动基因突变的类型和频率以及通常与这些组织类型相关的分子亚型。包括癌症基因组图谱(TCGA)在内的几个大规模基因组队列已被用于描述一系列妇科恶性肿瘤的基因组特征,包括高级别浆液性卵巢癌、子宫内膜癌、子宫颈癌和子宫癌肉瘤。这些数据集在识别临床相关分子靶点和生物标志物以及构建分子分型方案方面也发挥了关键作用。此外,近期临床测序在更常见的妇科癌症类型中的广泛应用产生了一系列大型基因组数据集,这些数据集凭借足够的统计能力,使得人们能够对甚至罕见癌症类型的基因组、驱动突变和组织类型进行特征描述。在此,我们回顾妇科癌症领域,并试图按组织类型描述基因组特征。我们还将展示这些特征如何与临床病理特征相关联,并突出潜在的致瘤机制。

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