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

机译:根据肿瘤微环境免疫型阶段II和III胃癌的体细胞突变谱

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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.
机译:我们的旨在根据其肿瘤微环境免疫类型(TMITS)来确定阶段II / III胃癌(GCS)的体细胞突变谱,其根据PD-L1表达和CD8(+)肿瘤浸润淋巴细胞进行分类癌症。八十名患有第II阶段/ III型GC的患者分类如下:TMIT I(PD-L1(+)/ CD8(高)),TMIT II(PD-L1()/ CD8(低)),TMIT III(PD- L1(+)/ CD8(低))和TMIT IV(PD-L1( - )/ CD8(高))。在Illumina Hiseq-2500系统上进行使用170个癌症相关基因的面板进行深度靶向测序。最常突变的基因包括GNAQ(41.3%),TP53(38.8%),CREBBP(35.0%)和MAP3K1(35.0%)。在TMIT I(45.8%)和III(66.7%)中更频繁地观察PIK3CA突变,而不是II(12.0%)和IV(8.0%)。在TMIT I内具有富集突变的其他基因包括ATM(33.3%),BRCA2(33.3%),MAP3K4(29.2%)和FLT4(25.0%)。在TMIT II中更常见FGFR3,MAP3K1和RUNX1突变。 TMIT III具有独特的体细胞突变型材,含有富集的组蛋白改性剂的富集突变,包括CREBBP和KMT2A,并且我们发现FGFR2扩增仅在TMIT IV内。基于体细胞突变频率的模糊聚类分析鉴定了一种超乳化群(簇1)和下修正组(簇2)。群集1与TMIT I,EBV + GCS和MSI-H GCS(P = .023,.014和.004)具有显着关联,并且具有比群集更好的整体生存(p = .057)2. TMIT I,EBV +并且估计MSI-H GCS具有更大的肿瘤突变负担(P = .023,.003和.015)。通过根据TMIT分类分析体细胞突变谱,我们确定了特异性特异性遗传改变,其提供GC遗传学和微环境之间的生物联系的线索。

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