ArticleFrontiers in oncology2022
Identification of N6-Methyladenosine-Related lncRNAs as a Prognostic Signature in Glioma.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- The m6A Reader YTHDF3 Promotes Glioma Progression by Regulating the m6A Modification of lncRNA-PAR5.Analytical cellular pathology (Amsterdam) · 2026Article
- Overview of the interplay between m6A methylation modification and non-coding RNA and their impact on tumor cells.Translational cancer research · 2024Review
- Article
- EPYC functions as a novel prognostic biomarker for pancreatic cancer.Scientific reports · 2024Article
- MBNL1‑AS1 attenuates tumor cell proliferation by regulating the miR‑29c‑3p/BVES signal in colorectal cancer.Oncology reports · 2023Article
- The lncRNA epigenetics: The significance of m6A and m5C lncRNA modifications in cancer.Frontiers in oncology · 2023Review
- Gene signature of mScientific reports · 2022Article
- Potential biomarkers for predicting the overall survival outcome of kidney renal papillary cell carcinoma: an analysis of ferroptosis-related LNCRNAs.BMC urology · 2022Article
- An m6A/m5C/m1A/m7G-Related Long Non-coding RNA Signature to Predict Prognosis and Immune Features of Glioma.Frontiers in genetics · 2022Article
- Pan-Cancer Gene Analysis of m6A Modification and Immune Infiltration in Uterine Corpus Endometrial Carcinoma.Computational intelligence and neuroscience · 2022Article
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
N6-methyladenosine (m6A) modification is the most abundant modification in long noncoding RNAs (lncRNAs). Current studies have shown that the abnormal expression of m6A-related genes is closely associated with the tumorigenesis and progression of glioma. However, the role of m6A-related lncRNAs in glioma development is still unclear. Herein, we screened 566 m6A-related lncRNAs in glioma from The Cancer Genome Atlas (TCGA) database. The expression pattern of these lncRNAs could cluster samples into two groups, in which various classical tumor-related functions and the tumor immune microenvironment were significantly different. Subsequently, a nine-factor m6A-related lncRNA prognostic signature (MLPS) was constructed by using a LASSO regression analysis in the training set and was validated in the test set and independent datasets. The AUC values of the MLPS were 0.881, 0.918 and 0.887 for 1-, 3- and 5-year survival in the training set, respectively, and 0.856, 0.916 and 0.909 for 1-, 3-, and 5-year survival in the test set, respectively. Stratification analyses of the MLPS illustrated its prognostic performance in gliomas with different characteristics. Correlation analyses showed that the infiltrations of monocytes and tumor-associated macrophages (TAMs) were significantly relevant to the risk score in the MLPS. Moreover, we detected the expression of four MLPS factors with defined sequences in glioma and normal cells by using RT-PCR. Afterwards, we investigated the functions of LNCTAM34A (one of the MLPS factors) in glioma cells, which have rarely been reported.
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