肿瘤非整倍体作为免疫检查点阻断的预后和预测性生物标志物

IF 31.7 1区 生物学 Q1 GENETICS & HEREDITY
Daniel Huang, Liam F. Spurr, Ralph R. Weichselbaum, Sean P. Pitroda
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引用次数: 0

摘要

非整倍体,以染色体不平衡为特征的癌症的标志,驱动肿瘤发生并促进癌症免疫逃避。虽然高肿瘤非整倍体与免疫检查点阻断(ICB)耐药性和预后不良有关,但有证据表明,这种耐药性可以通过强化治疗来克服,例如,在ICB上增加消融放疗。从这个角度来看,我们认为非整倍体的预测价值补充了已建立的生物标志物,如肿瘤突变负荷(TMB)或程序性死亡配体1 (PD-L1)表达。我们回顾了量化非整倍体的当代方法,探索了针对非整倍体肿瘤有丝分裂脆弱性的新方法,并强调了基于非整倍体的分层可以纳入早期,局部晚期和转移性癌症的基于icb的治疗范例的潜在领域。前瞻性试验纳入基于非整倍体的分层将是必要的,以验证其在个性化癌症治疗中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Tumor aneuploidy as a prognostic and predictive biomarker in immune checkpoint blockade

Tumor aneuploidy as a prognostic and predictive biomarker in immune checkpoint blockade

Aneuploidy, a hallmark of cancer characterized by chromosome imbalances, drives tumorigenesis and facilitates cancer immune evasion. While high tumor aneuploidy is linked to immune checkpoint blockade (ICB) resistance and poor prognosis, evidence suggests that this resistance can be overcome through treatment intensification, for example, with the addition of ablative radiotherapy to ICB. In this Perspective, we argue that the predictive value of aneuploidy complements established biomarkers, such as tumor mutational burden (TMB) or programmed death ligand 1 (PD-L1) expression. We review contemporary methods for quantifying aneuploidy, explore novel approaches that target mitotic vulnerabilities in aneuploid tumors and highlight potential areas where aneuploidy-based stratification could be incorporated into ICB-based treatment paradigms across early-stage, locally advanced and metastatic cancers. Prospective trials incorporating aneuploidy-based stratification will be essential to validate its role in personalized cancer therapy.

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来源期刊
Nature genetics
Nature genetics 生物-遗传学
CiteScore
43.00
自引率
2.60%
发文量
241
审稿时长
3 months
期刊介绍: Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation. Integrative genetic topics comprise, but are not limited to: -Genes in the pathology of human disease -Molecular analysis of simple and complex genetic traits -Cancer genetics -Agricultural genomics -Developmental genetics -Regulatory variation in gene expression -Strategies and technologies for extracting function from genomic data -Pharmacological genomics -Genome evolution
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