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Comprehensive Analysis of N6-Methyladenosine-Related lncRNA Signature for Predicting Prognosis and Immune Cell Infiltration in Patients with Colorectal Cancer

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机构: [1]Department of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou 510632, China [2]School of Basic Medicine, Jinan University, Guangzhou 510632, China [3]Department of Abdominal Surgery, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510632, China [4]Department of Oncology, The First Affiliated Hospital of Jinan University, Guangzhou 510632, China
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Background. Colorectal cancer (CRC) is the third most common tumor worldwide. Aberrant N6-methyladenosine (m6A) modification can influence the progress of the CRC. Additionally, long noncoding RNA (lncRNA) plays a critical role in CRC and has a close relationship with m6A modification. However, the prognostic potential of m6A-related lncRNAs in CRC patients still remains to be clarified. Methods. We use "limma" R package, "glmnet" R package, and "survival" R package to screen m6A-related-lncRNAs with prognostic potential. Then, we comprehensively analysed and integrated the related lncRNAs in different TNM stages from TCGA database using the LASSO Cox regression. Meanwhile, the relationship between functional enrichment of m6A-related lncRNAs and immune microenvironment in CRC was also investigated using the TCGA database. A prognostic model was constructed and validated to determine the association between m6A-related lncRNAs in different TNM stages and the prognosis of CRC. Result. We demonstrated that three related m6A lncRNAs in different TNM stages were associated with the prognosis of CRC patients. Patients from the TCGA database were classified into the low-risk and the high-risk groups based on the expression of these lncRNAs. The patients in the low-risk group had longer overall survival than the patients in the high-risk group (P<0.001). We further constructed and validated a prognostic nomogram based on these genes with a C-index of 0.80. The receiver operating characteristic curves confirmed the predictive capacity of the model. Meanwhile, we also found that the low-risk group has the correlation with the dendritic cell (DC). Finally, we discovered the relationship between the m6A regulators and the three lncRNAs. Conclusion. The prognostic model based on three m6A-related lncRNAs exhibits superior predictive performance, providing a novel prognostic model for the clinical evaluation of CRC patients.

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出版当年[2020]版:
大类 | 3 区 医学
小类 | 3 区 生物工程与应用微生物 3 区 遗传学 3 区 病理学 4 区 医学:研究与实验
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Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Q2 PATHOLOGY Q3 GENETICS & HEREDITY Q3 MEDICINE, RESEARCH & EXPERIMENTAL
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第一作者机构: [1]Department of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou 510632, China
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