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Somatic mutational profiles of stage II and III gastric cancer according to tumor microenvironment immune type

体细胞 免疫系统 肿瘤微环境 癌症 生物 癌症研究 阶段(地层学) 肿瘤科 免疫学 医学 遗传学 基因 古生物学
作者
Jiwon Koh,Soo Kyung Nam,Hanseong Roh,Jonghyuk Kim,Byung‐Chul Lee,Jin Won Kim,Sang Hoon Ahn,Do Joong Park,Hyung‐Ho Kim,Kyoung Un Park,Jin Haeng Chung,Woo Ho Kim,Hye Seung Lee
出处
期刊:Genes, Chromosomes and Cancer [Wiley]
卷期号:58 (1): 12-22 被引量:15
标识
DOI:10.1002/gcc.22683
摘要

Abstract We aimed to determine somatic mutational profiles of stage II/III gastric cancers (GCs) according to their tumor microenvironment immune types (TMITs), which classify cancer based on co‐assessment of PD‐L1 expression and CD8 + tumor infiltrating lymphocytes. Eighty patients with stage II/III GC were classified as follows: TMIT I (PD‐L1 + /CD8 High ), TMIT II (PD‐L1 − /CD8 Low ), TMIT III (PD‐L1 + /CD8 Low ), and TMIT IV (PD‐L1 − /CD8 High ). Deep targeted sequencing using a panel of 170 cancer‐related genes was performed on an Illumina HiSeq‐2500 system. Most frequently mutated genes included GNAQ (41.3%), TP53 (38.8%), CREBBP (35.0%), and MAP3K1 (35.0%). PIK3CA mutations were observed more frequently in TMIT I (45.8%) and III (66.7%), than in II (12.0%) and IV (8.0%). Other genes with enriched mutations within TMIT I included ATM (33.3%), BRCA2 (33.3%), MAP3K4 (29.2%), and FLT4 (25.0%). FGFR3 , MAP3K1, and RUNX1 mutations were more frequently found in TMIT II. TMIT III had a unique somatic mutation profile harboring enriched mutations of histone modifiers including CREBBP and KMT2A , and we found FGFR2 amplification exclusively within TMIT IV. Fuzzy clustering analysis based on somatic mutation frequencies identified a hypermutated group (cluster 1) and a hypomutated group (cluster 2). Cluster 1 had significant associations with TMIT I, EBV + GCs, and MSI‐H GCs ( P = .023, .014, and .004), and had better overall survival ( P = .057) than Cluster 2. TMIT I, EBV + , and MSI‐H GCs were estimated to have greater tumor mutational burden ( P = .023, .003, and .015). By analyzing somatic mutation profiles according to TMIT classification, we identified TMIT‐specific genetic alterations that provide clues for biological linkage between GC genetics and microenvironment.

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