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Construction and Characterization of n6-Methyladenosine-Related lncRNA Prognostic Signature and Immune Cell Infiltration in Kidney Renal Clear Cell Carcinoma. JOURNAL OF ONCOLOGY 2022; 2022:7495183. [PMID: 36213821 PMCID: PMC9536954 DOI: 10.1155/2022/7495183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Accepted: 08/12/2022] [Indexed: 11/17/2022]
Abstract
Background. Kidney renal clear cell carcinoma (KIRC) lacks effective prognostic biomarkers and the role and mechanism of N6-methyladenosine (m6A) modification of long noncoding RNAs (lncRNAs) in KIRC remain unclear. Methods. We extracted standard mRNA-sequencing and clinical data from the TCGA database. The prognostic risk model was obtained by Lasso regression and Cox regression. We randomly divided the samples into training and test sets, each taking half of the cases. Based on Lasso regression and Cox regression for training set, the prognostic risk signature was constructed; risk scores were calculated with the R package “glmnet.” Based on the median value of the prognostic risk score, risk scores were calculated for each patient and we divided all KIRC samples into high-risk and low-risk groups. Then, high- and low-risk subtypes were established and their prognosis, clinical features, and immune infiltration microenvironment were evaluated in test set and the entire sampled data set. The reliability of the prognostic model was confirmed by receiver operating characteristic curve analysis. Results. We found 28 prognostic m6A-related lncRNAs and established a m6A-related lncRNAs prognostic signature.
The signature showed a better predictive ability than other clinical indicators, including tumor node metastasis classification (TNM), histological, and pathological stages. In the high-risk group, M0 macrophages, CD8+ T cells, and regulatory T cells had significantly higher scores. Contrarily, in the low-risk group, activated dendritic cells, M1 macrophages, mast resting cells, and monocytes had significantly higher scores. In the high-risk group, LSECtin was overexpressed. In the low-risk group, PD-L1 was overexpressed. Moreover, high-risk patients may benefit more from AZ628. Conclusions. In conclusion, prognosis prediction of patients with KIRC and new insights for immunotherapy are provided by the m6A-related lncRNA prognostic signature.
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Ni L, Tang C, Wang Y, Wan J, Charles MG, Zhang Z, Li C, Zeng R, Jin Y, Song P, Wei M, Li B, Zhang J, Wu Z. Construction of a miRNA-Based Nomogram Model to Predict the Prognosis of Endometrial Cancer. J Pers Med 2022; 12:jpm12071154. [PMID: 35887651 PMCID: PMC9318842 DOI: 10.3390/jpm12071154] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 07/14/2022] [Accepted: 07/15/2022] [Indexed: 12/11/2022] Open
Abstract
Objective: To investigate the differential expression of microRNA (miRNA) in patients with endometrial cancer and its relationship with prognosis and survival. Method: We used The Cancer Genome Atlas (TCGA) database to analyze differentially expressed miRNAs in endometrial cancer tissues and adjacent normal tissues. In addition, we successfully screened out key microRNAs to build nomogram models for predicting prognosis and we performed survival analysis on the key miRNAs as well. Result: We identified 187 differentially expressed miRNAs, which includes 134 up-regulated miRNAs and 53 down-regulated miRNAs. Further univariate Cox regression analysis screened out 47 significantly differentially expressed miRNAs and selected 12 miRNAs from which the prognostic nomogram model for ECA patients by LASSO analysis was constructed. Survival analysis showed that high expression of hsa-mir-138-2, hsa-mir-548f-1, hsa-mir-934, hsa-mir-940, and hsa-mir-4758 as well as low-expression of hsa-mir-146a, hsa-mir-3170, hsa-mir-3614, hsa-mir-3616, and hsa-mir-4687 are associated with poor prognosis in EC patients. However, significant correlations between the expressions levels of has-mir-876 and hsa-mir-1269a and patients' prognosis are not found. Conclusion: Our study found that 12 significantly differentially expressed miRNAs might promote the proliferation, invasion, and metastasis of cancer cells by regulating the expression of upstream target genes, thereby affecting the prognosis of patients with endometrial cancer.
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Affiliation(s)
- Leyi Ni
- School of Medicine, I.M. Sechenov First Moscow State Medical University, Ministry of Health, Russian Federation, 8/2 Trubetskaya Street, 119991 Moscow, Russia; (L.N.); (C.T.); (Y.W.); (J.W.); (M.G.C.); (Z.Z.); (R.Z.); (Y.J.); (P.S.); (M.W.); (B.L.)
| | - Chengyun Tang
- School of Medicine, I.M. Sechenov First Moscow State Medical University, Ministry of Health, Russian Federation, 8/2 Trubetskaya Street, 119991 Moscow, Russia; (L.N.); (C.T.); (Y.W.); (J.W.); (M.G.C.); (Z.Z.); (R.Z.); (Y.J.); (P.S.); (M.W.); (B.L.)
| | - Yuning Wang
- School of Medicine, I.M. Sechenov First Moscow State Medical University, Ministry of Health, Russian Federation, 8/2 Trubetskaya Street, 119991 Moscow, Russia; (L.N.); (C.T.); (Y.W.); (J.W.); (M.G.C.); (Z.Z.); (R.Z.); (Y.J.); (P.S.); (M.W.); (B.L.)
| | - Jiaming Wan
- School of Medicine, I.M. Sechenov First Moscow State Medical University, Ministry of Health, Russian Federation, 8/2 Trubetskaya Street, 119991 Moscow, Russia; (L.N.); (C.T.); (Y.W.); (J.W.); (M.G.C.); (Z.Z.); (R.Z.); (Y.J.); (P.S.); (M.W.); (B.L.)
| | - Morgan G. Charles
- School of Medicine, I.M. Sechenov First Moscow State Medical University, Ministry of Health, Russian Federation, 8/2 Trubetskaya Street, 119991 Moscow, Russia; (L.N.); (C.T.); (Y.W.); (J.W.); (M.G.C.); (Z.Z.); (R.Z.); (Y.J.); (P.S.); (M.W.); (B.L.)
| | - Zilong Zhang
- School of Medicine, I.M. Sechenov First Moscow State Medical University, Ministry of Health, Russian Federation, 8/2 Trubetskaya Street, 119991 Moscow, Russia; (L.N.); (C.T.); (Y.W.); (J.W.); (M.G.C.); (Z.Z.); (R.Z.); (Y.J.); (P.S.); (M.W.); (B.L.)
| | - Chen Li
- Department of Biology, Chemistry, Pharmacy, Free University of Berlin, 14195 Berlin, Germany;
| | - Ruijie Zeng
- School of Medicine, I.M. Sechenov First Moscow State Medical University, Ministry of Health, Russian Federation, 8/2 Trubetskaya Street, 119991 Moscow, Russia; (L.N.); (C.T.); (Y.W.); (J.W.); (M.G.C.); (Z.Z.); (R.Z.); (Y.J.); (P.S.); (M.W.); (B.L.)
| | - Yiyao Jin
- School of Medicine, I.M. Sechenov First Moscow State Medical University, Ministry of Health, Russian Federation, 8/2 Trubetskaya Street, 119991 Moscow, Russia; (L.N.); (C.T.); (Y.W.); (J.W.); (M.G.C.); (Z.Z.); (R.Z.); (Y.J.); (P.S.); (M.W.); (B.L.)
| | - Penghao Song
- School of Medicine, I.M. Sechenov First Moscow State Medical University, Ministry of Health, Russian Federation, 8/2 Trubetskaya Street, 119991 Moscow, Russia; (L.N.); (C.T.); (Y.W.); (J.W.); (M.G.C.); (Z.Z.); (R.Z.); (Y.J.); (P.S.); (M.W.); (B.L.)
| | - Ming Wei
- School of Medicine, I.M. Sechenov First Moscow State Medical University, Ministry of Health, Russian Federation, 8/2 Trubetskaya Street, 119991 Moscow, Russia; (L.N.); (C.T.); (Y.W.); (J.W.); (M.G.C.); (Z.Z.); (R.Z.); (Y.J.); (P.S.); (M.W.); (B.L.)
| | - Bocen Li
- School of Medicine, I.M. Sechenov First Moscow State Medical University, Ministry of Health, Russian Federation, 8/2 Trubetskaya Street, 119991 Moscow, Russia; (L.N.); (C.T.); (Y.W.); (J.W.); (M.G.C.); (Z.Z.); (R.Z.); (Y.J.); (P.S.); (M.W.); (B.L.)
| | - Jin Zhang
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, MS 39216, USA
- Correspondence: (J.Z.); (Z.W.)
| | - Zhenghao Wu
- School of Medicine, I.M. Sechenov First Moscow State Medical University, Ministry of Health, Russian Federation, 8/2 Trubetskaya Street, 119991 Moscow, Russia; (L.N.); (C.T.); (Y.W.); (J.W.); (M.G.C.); (Z.Z.); (R.Z.); (Y.J.); (P.S.); (M.W.); (B.L.)
- Correspondence: (J.Z.); (Z.W.)
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