Department of Pathology, Seoul National University Hospital, Seoul, Republic of Korea.
Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea.
Genes Chromosomes Cancer. 2019 Jan;58(1):12-22. doi: 10.1002/gcc.22683. Epub 2018 Oct 16.
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 ), TMIT II (PD-L1 /CD8 ), TMIT III (PD-L1 /CD8 ), and TMIT IV (PD-L1 /CD8 ). 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.
我们旨在根据肿瘤微环境免疫类型(TMIT)确定 II/III 期胃癌(GC)的体细胞突变谱,TMIT 基于 PD-L1 表达和 CD8 肿瘤浸润淋巴细胞的共同评估对癌症进行分类。80 名 II/III 期 GC 患者分为以下几类:TMIT I(PD-L1/CD8+)、TMIT II(PD-L1/CD8-)、TMIT III(PD-L1/CD8-)和 TMIT IV(PD-L1/CD8-)。使用 170 个癌症相关基因的面板在 Illumina HiSeq-2500 系统上进行深度靶向测序。最常突变的基因包括 GNAQ(41.3%)、TP53(38.8%)、CREBBP(35.0%)和 MAP3K1(35.0%)。PIK3CA 突变在 TMIT I(45.8%)和 III(66.7%)中比 II(12.0%)和 IV(8.0%)更常见。在 TMIT I 中还发现其他富含突变的基因包括 ATM(33.3%)、BRCA2(33.3%)、MAP3K4(29.2%)和 FLT4(25.0%)。FGFR3、MAP3K1 和 RUNX1 突变在 TMIT II 中更为常见。TMIT III 具有独特的体细胞突变谱,富含组蛋白修饰剂突变,包括 CREBBP 和 KMT2A,我们发现 FGFR2 扩增仅存在于 TMIT IV 中。基于体细胞突变频率的模糊聚类分析确定了一个高突变组(簇 1)和一个低突变组(簇 2)。簇 1 与 TMIT I、EBV GC 和 MSI-H GC 显著相关(P=0.023、0.014 和 0.004),并且总生存期优于簇 2(P=0.057)。TMIT I、EBV 和 MSI-H GC 估计具有更高的肿瘤突变负担(P=0.023、0.003 和 0.015)。通过根据 TMIT 分类分析体细胞突变谱,我们确定了 TMIT 特异性遗传改变,为 GC 遗传学与微环境之间的生物学联系提供了线索。