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难治性转移性癌症的综合泛癌症基因组和转录组分析。

Integrative Pan-Cancer Genomic and Transcriptomic Analyses of Refractory Metastatic Cancer.

机构信息

Université Paris-Saclay, CentraleSupélec, MICS lab, Gif-Sur-Yvette, France.

Gustave Roussy, Department of Medical Oncology, Villejuif, France.

出版信息

Cancer Discov. 2023 May 4;13(5):1116-1143. doi: 10.1158/2159-8290.CD-22-0966.

DOI:10.1158/2159-8290.CD-22-0966
PMID:36862804
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10157368/
Abstract

UNLABELLED

Metastatic relapse after treatment is the leading cause of cancer mortality, and known resistance mechanisms are missing for most treatments administered to patients. To bridge this gap, we analyze a pan-cancer cohort (META-PRISM) of 1,031 refractory metastatic tumors profiled via whole-exome and transcriptome sequencing. META-PRISM tumors, particularly prostate, bladder, and pancreatic types, displayed the most transformed genomes compared with primary untreated tumors. Standard-of-care resistance biomarkers were identified only in lung and colon cancers-9.6% of META-PRISM tumors, indicating that too few resistance mechanisms have received clinical validation. In contrast, we verified the enrichment of multiple investigational and hypothetical resistance mechanisms in treated compared with nontreated patients, thereby confirming their putative role in treatment resistance. Additionally, we demonstrated that molecular markers improve 6-month survival prediction, particularly in patients with advanced breast cancer. Our analysis establishes the utility of the META-PRISM cohort for investigating resistance mechanisms and performing predictive analyses in cancer.

SIGNIFICANCE

This study highlights the paucity of standard-of-care markers that explain treatment resistance and the promise of investigational and hypothetical markers awaiting further validation. It also demonstrates the utility of molecular profiling in advanced-stage cancers, particularly breast cancer, to improve the survival prediction and assess eligibility to phase I clinical trials. This article is highlighted in the In This Issue feature, p. 1027.

摘要

无标签

治疗后的转移复发是癌症死亡的主要原因,而大多数给予患者的治疗缺乏已知的耐药机制。为了弥补这一差距,我们分析了一个包含 1031 例难治性转移性肿瘤的泛癌队列(META-PRISM),这些肿瘤通过全外显子组和转录组测序进行了分析。与未治疗的原发性肿瘤相比,META-PRISM 肿瘤,特别是前列腺癌、膀胱癌和胰腺癌,显示出最具转化性的基因组。仅在肺癌和结肠癌中确定了标准治疗耐药生物标志物-9.6%的 META-PRISM 肿瘤,表明太少的耐药机制已经得到临床验证。相比之下,我们在治疗组与未治疗组患者中验证了多种研究中及假设的耐药机制的富集,从而证实了它们在治疗耐药中的潜在作用。此外,我们证明了分子标志物可改善 6 个月的生存预测,特别是在晚期乳腺癌患者中。我们的分析确立了 META-PRISM 队列在癌症耐药机制研究和预测性分析中的应用。

意义

本研究强调了缺乏解释治疗耐药性的标准治疗标志物,以及等待进一步验证的研究中及假设的标志物具有很大的应用前景。它还证明了分子谱分析在晚期癌症中的实用性,特别是在乳腺癌中,以提高生存预测并评估参与 I 期临床试验的资格。本文在本期特色文章中得到了强调,第 1027 页。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8051/10157368/39fbf0cfd625/1116fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8051/10157368/a54c91c3ef1a/1116fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8051/10157368/9379a4554d53/1116fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8051/10157368/9368b3d126b3/1116fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8051/10157368/2693d51a3349/1116fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8051/10157368/d377b7eab8fe/1116fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8051/10157368/1be4b76bebf5/1116fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8051/10157368/39fbf0cfd625/1116fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8051/10157368/a54c91c3ef1a/1116fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8051/10157368/9379a4554d53/1116fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8051/10157368/9368b3d126b3/1116fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8051/10157368/2693d51a3349/1116fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8051/10157368/d377b7eab8fe/1116fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8051/10157368/1be4b76bebf5/1116fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8051/10157368/39fbf0cfd625/1116fig7.jpg

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