ArticleTranslational cancer research2021
LncRNA NEAT1-miR-101-3p/miR-335-5p/miR-374a-3p/miR-628-5p-TRIM6 axis identified as the prognostic biomarker for lung adenocarcinoma via bioinformatics and meta-analysis.
Article in Translational cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 23 citations in OpenAlex.
- Analysis of the mechanism and prognostic value of PRKCQ-AS1 in inhibiting the progression of lung adenocarcinoma via regulating the PD-1/PD-L1 pathway.Scientific reports · 2026Article
- Integrated bioinformatics and experimental analysis of CHAF1B as a novel biomarker and immunotherapy target in LUAD.Discover oncology · 2025Article
- Unraveling NEAT1's complex role in lung cancer biology: a comprehensive review.EXCLI journal · 2024Review
- Article
- A new prognostic model forJournal of thoracic disease · 2023Article
- The effects of the prognostic biomarker SAAL1 on cancer growth and its association with the immune microenvironment in lung adenocarcinoma.BMC cancer · 2023Article
- LncRNA TEX41 regulates autophagy by increasing Runx2 expression in lung adenocarcinoma bone metastasis.American journal of translational research · 2023Article
- Tripartite motif protein 6 promotes hepatocellular carcinoma progression via multiple pathways.Turkish journal of medical sciences · 2023Article
- Article
- SLC25A25-AS1 over-expression could be predicted the dismal prognosis and was related to the immune microenvironment in prostate cancer.Frontiers in oncology · 2022Article
- TRAT1 overexpression delays cancer progression and is associated with immune infiltration in lung adenocarcinoma.Frontiers in oncology · 2022Article
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Authors and funding
6 authors at 2 institutions in 1 country.
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Abstract
backgroundOverexpression of the tripartite motif containing 6 (TRIM6) is associated with dismal prognosis in cancer patients, but its exact roles in lung adenocarcinoma (LUAD) have not been reported.
methodsThe roles of TRIM6 are identified by using The Cancer Genome Atlas (TCGA), TIMER2, Gene Expression Omnibus (GEO), etc., and the regulatory networks and related-prognostic biomarkers of TRIM6 are identified via the ENCORI and LNCAR databases in the LUAD progression.
resultsTRIM6 expression level in LUAD tissues was significantly increased. TRIM6 over-expression level in LUAD patients was associated with smoking, clinical stage, histological type, lymph node metastasis, TP53 mutation and dismal prognosis, and related to prognosis-related age, race, sex, clinical stage and tumor purity of LUAD patients. TRIM6 overexpression was associated with the levels of CD8
conclusionsNEAT1-miR-101-3p/335-5p/374a-3p/628-5p-TRIM6 network, which we constructed from our results, might be an important factor in the dismal prognosis of LUAD patients.
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