Xiangya Hospital, Central South University, Changsha, 410078 Hunan, China.
Hunan Provincial Key Laboratory for Synthetic Biology of Traditional Chinese Medicine, School of Public Health and Laboratory Medicine, Hunan University of Medicine, Huaihua, 418000 Hunan, China.
Biomed Res Int. 2020 Sep 9;2020:7905380. doi: 10.1155/2020/7905380. eCollection 2020.
Colorectal cancer (CRC) is the third most common cancer in the world, and most of them are adenocarcinomas. CRC could be classified as colon adenocarcinoma (COAD) and rectum adenocarcinoma (READ) according to the original tumorigenesis position. Increasing evidences indicated that microRNAs (miRNAs) play an important role in the occurrence of multiple tumors.
In this study, we firstly downloaded miRNA (COAD, 8 controls vs. 455 tumors; READ, 3 controls vs. 161 tumors) and mRNA (COAD, 41 controls vs. 478 tumors; READ, 10 controls vs. 166 tumors) data from The Cancer Genome Atlas (TCGA) database and then used DESeq2, RegParallel, miRDB, TargetScanHuman 7.2, DAVID 6.8, STRING, and Cytoscape software to identify the potential prognosis biomarkers.
We identified 175 differential expression miRNAs (DEMs) and 3747 differential expression genes (DEGs) in COAD and 184 DEMs and 3928 DEGs in READ. And then, we obtained 21 (13 in COAD and 8 in READ) DEMs associated with the survival rates, which correlated with 440 (217 in COAD and 223 in READ) overlapping DEGs. Through survival analysis for those overlapping DEGs, we found 11 (8 in COAD and 3 in READ) overlapping DGEs associated with survival rates of patients, which were correlated with 9 (7 in COAD and 2 in READ) DEMs significantly.
In this study, we found several candidate prognostic biomarkers which have been identified in various cancers and also found several new prognosis biomarkers of COAD and READ. In conclusion, this analysis based on theoretical knowledge and clinical outcomes we have done needs further confirmation by more researches.
结直肠癌（CRC）是世界上第三大常见癌症，其中大多数为腺癌。CRC 可根据原发肿瘤位置分为结肠癌（COAD）和直肠癌（READ）。越来越多的证据表明，microRNAs（miRNAs）在多种肿瘤的发生中起着重要作用。
本研究首先从癌症基因组图谱（TCGA）数据库中下载 miRNA（COAD，8 个对照与 455 个肿瘤；READ，3 个对照与 161 个肿瘤）和 mRNA（COAD，41 个对照与 478 个肿瘤；READ，10 个对照与 166 个肿瘤）数据，然后使用 DESeq2、RegParallel、miRDB、TargetScanHuman 7.2、DAVID 6.8、STRING 和 Cytoscape 软件识别潜在的预后生物标志物。
我们在 COAD 中鉴定出 175 个差异表达 miRNA（DEMs）和 3747 个差异表达基因（DEGs），在 READ 中鉴定出 184 个 DEMs 和 3928 个 DEGs。然后，我们获得了与生存率相关的 21 个（COAD 中有 13 个，READ 中有 8 个）DEMs，这些 DEMs 与 440 个（COAD 中有 217 个，READ 中有 223 个）重叠 DEGs 相关。通过对这些重叠 DEGs 的生存分析，我们发现与生存率相关的 11 个（COAD 中有 8 个，READ 中有 3 个）重叠 DGEs，这些 DGEs 与 9 个（COAD 中有 7 个，READ 中有 2 个）DEMs 显著相关。
本研究发现了一些已在多种癌症中鉴定出的候选预后生物标志物，也发现了 COAD 和 READ 的一些新的预后生物标志物。总之，这项基于理论知识和临床结果的分析需要更多的研究进一步证实。
