Clinically conserved genomic subtypes of gastric adenocarcinoma

Author:

Jeong Yun Seong,Eun Young-Gyu,Lee Sung Hwan,Kang Sang-Hee,Yim Sun Young,Kim Eui Hyun,Noh Joo Kyung,Sohn Bo Hwa,Woo Seon Rang,Kong Moonkyoo,Nam Deok Hwa,Jang Hee-Jin,Lee Hyun-Sung,Song Shumei,Oh Sang Cheul,Lee Jeeyun,Ajani Jaffer A.,Lee Ju-Seog

Abstract

AbstractGastric adenocarcinoma (GAC) is a lethal disease characterized by genomic and clinical heterogeneity. By integrating 8 previously established genomic signatures for GAC subtypes, we identified 6 clinically and molecularly distinct genomic consensus subtypes (CGSs). CGS1 have the poorest prognosis, very high stem cell characteristics, and high IGF1 expression, but low genomic alterations. CGS2 is enriched with canonical epithelial gene expression. CGS3 and CGS4 have high copy number alterations and low immune reactivity. However, CGS3 and CGS4 differ in that CGS3 has high HER2 activation, while CGS4 has high SALL4 and KRAS activation. CGS5 has the high mutation burden and moderately high immune reactivity that are characteristic of microsatellite instable tumors. Most CGS6 tumors are positive for Epstein Barr virus and show extremely high levels of methylation and high immune reactivity. In a systematic analysis of genomic and proteomic data, we estimated the potential response rate of each consensus subtype to standard and experimental treatments such as radiation therapy, targeted therapy, and immunotherapy. Interestingly, CGS3 was significantly associated with a benefit from chemoradiation therapy owing to its high basal level of ferroptosis. In addition, we also identified potential therapeutic targets for each consensus subtype. Thus, the consensus subtypes produced a robust classification and provide for additional characterizations for subtype-based customized interventions.

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology,Molecular Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Gastric cancer patient-derived organoids model for the therapeutic drug screening;Biochimica et Biophysica Acta (BBA) - General Subjects;2024-04

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