Integrated Multiomics Analysis of Microsatellite Instability-High Colorectal Cancer Identifies a Subtype With Poor Outcome

IF 6.6 1区 医学 Q1 PATHOLOGY
Modern Pathology Pub Date : 2025-12-01 Epub Date: 2025-09-22 DOI:10.1016/j.modpat.2025.100896
Gangzhi Zhang , Biting Zhou , Xiaoxian Xu , Yang Che , Wenjie Hong , Shu Zheng , Suzhan Zhang , Wangxiong Hu , Yanmei Yang
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引用次数: 0

Abstract

Up to 50% of patients with metastatic microsatellite instability-high (MSI-H) colorectal cancer (CRC) are resistant to immunotherapy and experience progression or recurrence after treatment. We integrated the genomic, epigenomic, transcriptomic, and proteomic data for 99 patients in a Chinese MSI-H CRC cohort. Proteomic profiling of primary tumors clearly classified MSI-H tumors into 2 subtypes. We found that the 2 subtypes have different mutational signatures, enriched pathways, gene fusion networks, and clinical outcomes. Notably, NCAM1 could serve as a potential biomarker for checkpoint inhibitor response in MSI-H CRC. Thus, there is an urgent need to stratify the MSI-H group into different subtypes and adopt more targeted therapies to prolong patient survival.
MSI-H结直肠癌的综合多组学分析确定了预后较差的亚型。
高达50%的转移性微卫星不稳定性高(MSI-H)结直肠癌(CRC)患者对免疫治疗有耐药性,治疗后出现进展或复发。我们整合了中国MSI-H CRC队列中99例患者的基因组、表观基因组、转录组和蛋白质组数据。原发肿瘤的蛋白质组学分析明确将MSI-H肿瘤分为两个亚型。我们发现这两种亚型具有不同的突变特征、丰富的途径、基因融合网络和临床结果。值得注意的是,NCAM1可以作为MSI-H CRC中检查点抑制剂反应的潜在生物标志物。因此,迫切需要将MSI-H组划分为不同的亚型,并采取更有针对性的治疗来延长患者的生存期。
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来源期刊
Modern Pathology
Modern Pathology 医学-病理学
CiteScore
14.30
自引率
2.70%
发文量
174
审稿时长
18 days
期刊介绍: Modern Pathology, an international journal under the ownership of The United States & Canadian Academy of Pathology (USCAP), serves as an authoritative platform for publishing top-tier clinical and translational research studies in pathology. Original manuscripts are the primary focus of Modern Pathology, complemented by impactful editorials, reviews, and practice guidelines covering all facets of precision diagnostics in human pathology. The journal's scope includes advancements in molecular diagnostics and genomic classifications of diseases, breakthroughs in immune-oncology, computational science, applied bioinformatics, and digital pathology.
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