Suppr超能文献

肿瘤内遗传异质性和克隆进化解析子宫内膜癌的进展。

Intratumor genetic heterogeneity and clonal evolution to decode endometrial cancer progression.

机构信息

MD Anderson International Foundation, 28033, Madrid, Spain.

Biochemistry Department, Universidad Autónoma de Madrid (UAM), Instituto de Investigaciones Biomédicas 'Alberto Sols' (CSIC-UAM), IdiPaz, 28029, Madrid, Spain.

出版信息

Oncogene. 2022 Mar;41(13):1835-1850. doi: 10.1038/s41388-022-02221-0. Epub 2022 Feb 10.

Abstract

Analyzing different tumor regions by next generation sequencing allows the assessment of intratumor genetic heterogeneity (ITGH), a phenomenon that has been studied widely in some tumor types but has been less well explored in endometrial carcinoma (EC). In this study, we sought to characterize the spatial and temporal heterogeneity of 9 different ECs using whole-exome sequencing, and by performing targeted sequencing validation of the 42 primary tumor regions and 30 metastatic samples analyzed. In addition, copy number alterations of serous carcinomas were assessed by comparative genomic hybridization arrays. From the somatic mutations, identified by whole-exome sequencing, 532 were validated by targeted sequencing. Based on these data, the phylogenetic tree reconstructed for each case allowed us to establish the tumors' evolution and correlate this to tumor progression, prognosis, and the presence of recurrent disease. Moreover, we studied the genetic landscape of an ambiguous EC and the molecular profile obtained was used to guide the selection of a potential personalized therapy for this patient, which was subsequently validated by preclinical testing in patient-derived xenograft models. Overall, our study reveals the impact of analyzing different tumor regions to decipher the ITGH in ECs, which could help make the best treatment decision.

摘要

通过下一代测序分析不同的肿瘤区域,可以评估肿瘤内遗传异质性(ITGH),这一现象在某些肿瘤类型中已经得到了广泛研究,但在子宫内膜癌(EC)中研究较少。在这项研究中,我们试图通过全外显子组测序来描述 9 种不同的 EC 的空间和时间异质性,并对分析的 42 个原发性肿瘤区域和 30 个转移性样本进行靶向测序验证。此外,通过比较基因组杂交阵列评估浆液性癌的拷贝数改变。通过全外显子组测序确定的体细胞突变中,有 532 个通过靶向测序得到验证。基于这些数据,为每个病例重建的系统发育树使我们能够确定肿瘤的进化,并将其与肿瘤进展、预后和复发性疾病相关联。此外,我们研究了一个有争议的 EC 的遗传景观,获得的分子谱用于指导为该患者选择潜在的个性化治疗,随后在患者来源的异种移植模型中进行了临床前测试验证。总的来说,我们的研究揭示了分析不同肿瘤区域以破译 EC 中 ITGH 的影响,这有助于做出最佳治疗决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f423/8956509/ab488cbd35c4/41388_2022_2221_Fig1_HTML.jpg

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