Pan-Cancer Gene Analysis of m6A Modification and Immune Infiltration in Uterine Corpus Endometrial Carcinoma

• Published in: Computational intelligence and neuroscience Vol. 2022; pp. 1 - 11
• Main Authors: Xie, Bing-fan, Xia, Yan, Lin, Dan-huan, Lian, Bing, Zhang, Meng-li, Liu, Lu, Qin, Chun-Rong
• Format: Journal Article
• Language: English
• Published: New York Hindawi 26.09.2022; John Wiley & Sons, Inc; Hindawi Limited
• Subjects: Analysis; B cells; Cancer; Carcinoma; Care and treatment; CD27 antigen; CD28 antigen; CD70 antigen; CD80 antigen; CD86 antigen; Dendritic cells; Endometrial cancer; Endometrium; Epigenetics; Genes; Genetic aspects; Genetics; Genomes; Genomics; Infiltration; Interferon; Language; Lymphocytes; Lymphocytes B; Lymphocytes T; Major histocompatibility complex; Mathematical analysis; Medical prognosis; Methyltransferases; Microenvironments; N6-methyladenosine; Non-coding RNA; Patients; Periodical publishing; Potassium channels (inwardly-rectifying); Regression analysis; Ribonucleic acid; Risk; Risk groups; RNA; Survival; Survival analysis; T cells; Uterine cancer; Uterus
• ISSN: 1687-5265; 1687-5273
• DOI: 10.1155/2022/6530884

Objective. This investigation was to test the potential role of m6A-related long non-coding RNAs (lncRNAs) and immune infiltration as crucial factors in the diagnosis and treatment of uterine corpus endometrial cancer (UCEC). Method. The UCEC RNA-seq data were downloaded in the Cancer Genome Atlas (TCGA, https://portal.gdc.cancer.gov/). There were 587 samples totally, containing 543 UCEC cases and 35 healthy cases. The clinical information of UCEC cases included survival time, survival status, gender, age, stage, and TMN stage. Twenty-three m6A-related genes were found in published journals. The RNA-seq documents of UCEC were downloaded in the Cancer Genome Atlas (TCGA). The hub gene data of UCEC were downloaded from GEPIA2 database. The different packages of R language were applied to calculate and analyze in this research. Results. Among 587 cases in our study, we discovered 3039 lncRNAs in the TCGA-UCEC database. After the differential analysis, 23 m6A-associated genetics were screened and twenty-one m6A-associated differential genetics were found. In the end, we obtained 20 m6A-related lncRNAs. LNCTAM34A was considered as a predictive gene through univariate and multivariate Cox regression analysis. In addition to the above, patients with high LNCTAM34A expression had better outcomes than those with low LNCTAM34A expression. The high-risk cohort had greater scores of activated dendritic cells (aDCs), B cells, and T cell regulatory (Tregs) than low-risk cohort; in the meanwhile, high-risk cohort had lower scores of DCs and iDCs. Then, the high-risk cohort displayed greater scores in the immune functions of MHC class I, para-inflammation, and type I IFN response than those of low-risk cohort. Among 27 immune-inducible genes, the level of CD244, KIR3DLI, NRP1, PDCD1LG2, and TNFRSF8 was reduced in UCEC samples and the level of CD27, CD28, CD70, CD80, CD86, HAVCR2, ICOS, IDO1, LAIR1, PDCD1, TIGIT, TNFRSF18, -25, -9, -14, and VTCN1 was increased in UCEC samples. Conclusion. The key role of M6A-related lncRNAs in immune microenvironment in high-risk patients of UCEC. The patients with strong expression of LNCTAM34A have a good prognosis, and LNCTAM34A can be used as a prognostic gene for UCEC. m6A-related lncRNAs can be used as a potential treatment for UCEC. Our observations can be used as a hypothetical basis for future in vitro and animal experiments.