ArticleCancer cell international2018
Integrated TCGA analysis implicates lncRNA CTB-193M12.5 as a prognostic factor in lung adenocarcinoma.
Article in Cancer cell international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- Expression and potential molecular mechanisms of miR‑204‑5p in breast cancer, based on bioinformatics and a meta‑analysis of 2,306 cases.Molecular medicine reports · 2019Pooled it
- The regulatory mechanism of m6A modification in gastric cancer.Discover oncology · 2024Review
- Integration of lncRNAs, Protein-Coding Genes and Pathology Images for Detecting Metastatic Melanoma.Genes · 2022Article
- N7-methylguanosine-related lncRNAs: Predicting the prognosis and diagnosis of colorectal cancer in the cold and hot tumors.Frontiers in genetics · 2022Article
- CTB-193M12.5 Promotes Hepatocellular Carcinoma Progression via Enhancing NSD1-Mediated WNT10B/Wnt/β-Catenin Signaling Activation.Journal of hepatocellular carcinoma · 2022Article
- Characterization of glucose metabolism in breast cancer to guide clinical therapy.Frontiers in surgery · 2022Article
- Identification of a apoptosis-related LncRNA signature to improve prognosis prediction and immunotherapy response in lung adenocarcinoma patients.Frontiers in genetics · 2022Article
- A glycolysis-based three-gene signature predicts survival in patients with lung squamous cell carcinoma.BMC cancer · 2021Article
- The prognostic value of an autophagy-related lncRNA signature in hepatocellular carcinoma.BMC bioinformatics · 2021Article
- LncRNA ADAMTS9-AS2 is a Prognostic Biomarker and Correlated with Immune Infiltrates in Lung Adenocarcinoma.International journal of general medicine · 2021Article
- Characterization of the Prognostic m6A-Related lncRNA Signature in Gastric Cancer.Frontiers in oncology · 2021Article
- Construction and Characterization of Long Non-Coding RNA-Associated Networks to Reveal Potential Prognostic Biomarkers in Human Lung Adenocarcinoma.Frontiers in oncology · 2021Article
- Bioinformatics analysis to reveal key biomarkers for early and late hepatocellular carcinoma.Translational cancer research · 2020Article
- Evaluation of X-Ray Repair Cross-Complementing Family Members as Potential Biomarkers for Predicting Progression and Prognosis in Hepatocellular Carcinoma.BioMed research international · 2020Article
- Identification of novel biomarkers affecting the metastasis of colorectal cancer through bioinformatics analysis and validation through qRT-PCR.Cancer cell international · 2020Article
- Screening of differential expressed genes from gene chip and sequencing data and evaluate its prognostic values in males with digestive system neoplasms.Translational cancer research · 2019Article
- Identification of a novel glycolysis-related gene signature that can predict the survival of patients with lung adenocarcinoma.Cell cycle (Georgetown, Tex.) · 2019Article
- Comprehensive analysis of peroxiredoxins expression profiles and prognostic values in breast cancer.Biomarker research · 2019Article
- Screening key lncRNAs for human lung adenocarcinoma based on machine learning and weighted gene co-expression network analysis.Cancer biomarkers : section A of Disease markers · 2019Article
- Microarray expression profile of long non-coding RNAs in human lung adenocarcinoma.Thoracic cancer · 2018Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLung cancer is a malignant tumor with the highest incidence and mortality around the world. Recent advances in RNA sequencing technology have enabled insights into long non-coding RNAs (lncRNAs), a previously largely overlooked species in dissecting lung cancer pathology.
methodsIn this study, we used a comprehensive bioinformatics analysis strategy to identify lncRNAs closely associated with lung adenocarcinoma, using the RNA sequencing datasets collected from more than 500 lung adenocarcinoma patients and deposited at The Cancer Genome Atlas (TCGA) database.
resultsDifferential expression analysis highlighted lncRNAs CTD-2510F5.4 and CTB-193M12.5, both of which were significantly upregulated in cancerous specimens. Moreover, network analyses showed highly correlated expression levels of both lncRNAs with those of differentially expressed protein-coding genes, and suggested central regulatory roles of both lncRNAs in the gene co-expression network. Importantly, expression of CTB-193M12.5 showed strong negative correlation with patient survival.
conclusionsOur study mined existing TCGA datasets for novel factors associated with lung adenocarcinoma, and identified a largely unknown lncRNA as a potential prognostic factor. Further investigation is warranted to characterize the roles and significance of CTB-193M12.5 in lung adenocarcinoma biology.
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