High throughput somatic expression analyses of colon adenocarcinoma conducted so far were mostly in the western population, and no major studies are currently available in the Indian population. We have performed Nanostring PanCancer pathway panel assay in Stage II colon cancer (n = 11) and compared against normal colon tissues (n = 4). Differentially expressed (DE) genes were identified and superimposed on the Cancer Genome Atlas (TCGA) data, from the Genome Expression Profiling Interactive Analysis (GEPIA) and Tumor Immune Estimation Resource (TIMER).83 out of 730 genes were significantly different (p-value < 0.01), 19 of which had a fold-change |FC(log2)| ≥ 2. A comparison of these signals on TCGA COAD data revealed four common (MET, MCM2, ETV4, and MMP7) and15 uncommon genes. On group comparison, ETV4 expression was significantly higher in microsatellite stable (MSS). Significant DE genes, unique in the study, were INHBA, COL1A1, COL11A1, COMP, SFRP4, and SPP1, which were clustered in STRING.db network analysis and correlated with tumor-infiltrating immune cells in TIMER.MMR functions of colon cancer pathogenesis in India may be differentiated by validating the somatic expression of most common genes identified in the study.

中文翻译：

---

在南印度人口中结肠腺癌的表达分析揭示了发病机理的新信号。

迄今为止，对结肠腺癌进行的高通量体细胞表达分析主要在西方人群中进行，而印度人群目前尚无重大研究。我们已经在II期结肠癌（n = 11）中进行了Nanostring PanCancer通路检测，并与正常结肠组织（n = 4）进行了比较。从基因组表达谱分析（GEPIA）和肿瘤免疫估计资源（TIMER）中鉴定出差异表达（DE）基因并将其叠加在癌症基因组图谱（TCGA）数据上。在730个基因中有83个存在显着差异（p-值<0.01），其中19个具有折叠变化| FC（log2）| ≥2。在TCGA COAD数据上比较这些信号后，发现了四个常见基因（MET，MCM2，ETV4和MMP7）和15个罕见基因。在小组比较中 在微卫星稳定（MSS）中ETV4表达明显更高。在研究中独特的重要DE基因是INHBA，COL1A1，COL11A1，COMP，SFRP4和SPP1，它们聚集在STRING.db网络分析中，并与肿瘤浸润免疫细胞的TIMER相关.MMR在结肠癌发病机理中的作用可以通过验证研究中鉴定的最常见基因的体细胞表达来区分印度。