ArticleCancer science2018
A group of long noncoding RNAs identified by data mining can predict the prognosis of lung adenocarcinoma.
Article in Cancer science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Mechanism of Shishiwei Wendan Decoction in the Prevention and Treatment of Lung Adenocarcinoma Using Network Pharmacology and Molecular Docking.BioMed research international · 2022Article
- Nonnegative matrix factorization-based bioinformatics analysis reveals that TPX2 and SELENBP1 are two predictors of the inner sub-consensuses of lung adenocarcinoma.Cancer medicine · 2021Article
- LncRNAs Associated with Chemoradiotherapy Response and Prognosis in Locally Advanced Rectal Cancer.Journal of inflammation research · 2021Article
- Identification of the Prognostic Significance of Somatic Mutation-Derived LncRNA Signatures of Genomic Instability in Lung Adenocarcinoma.Frontiers in cell and developmental biology · 2021Article
- A Long Intergenic Non-coding RNA, LINC01426, Promotes Cancer Progression via AZGP1 and Predicts Poor Prognosis in Patients with LUAD.Molecular therapy. Methods & clinical development · 2020Article
- Type2 diabetes mellitus prediction using data mining algorithms based on the long-noncoding RNAs expression: a comparison of four data mining approaches.BMC bioinformatics · 2020Article
- Dendrobium officinalis inhibited tumor growth in non-small cell lung cancer.Translational cancer research · 2020Article
- Identification of LncRNAs Associated With FOLFOX Chemoresistance in mCRC and Construction of a Predictive Model.Frontiers in cell and developmental biology · 2020Article
- Integrative Analysis of Siglec-15 mRNA in Human Cancers Based on Data Mining.Journal of Cancer · 2020Article
- Prognostic Value of the FOXK Family Expression in Patients with Locally Advanced Rectal Cancer Following Neoadjuvant Chemoradiotherapy.OncoTargets and therapy · 2020Article
- Survival analysis and functional annotation of long non-coding RNAs in lung adenocarcinoma.Journal of cellular and molecular medicine · 2019Article
- A group of long noncoding RNAs identified by data mining can predict the prognosis of lung adenocarcinoma.Cancer science · 2018Article
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Authors and funding
6 authors.
Funding
Abstract
Long noncoding RNAs (lncRNA) are reported to be potential cancer biomarkers. This study aims to find new lncRNA biomarker relevant to lung adenocarcinoma. Gene expression profile and clinical data of lung adenocarcinoma and lung squamous cell carcinoma patients were downloaded from the UCSC Xena database. These data were analyzed to identify potential lncRNA prognostic biomarkers, and the candidate lncRNAs were analyzed and verified with association analysis, meta-analysis, survival analysis, gene ontology analysis, gene set enrichment analysis, and other statistical methods. A group of 5 lncRNAs was identified from the 1965 differentially expressed (fold-change >2) genes. Four of these 5 lncRNAs were expressed at a lower level in lung adenocarcinoma tissues and the other one at a higher level (P < .0001). A risk score model was constructed using a linear combination of the expression levels of these lncRNAs. High-risk patients showed poorer overall survival (hazard ratio [HR] = 2.14; 95% confidence interval [CI], 1.67-3.06, P < .0001), disease-free survival (HR = 1.84; 95% CI, 1.26-2.35, P = .0007), and recurrence-free survival (HR = 1.51; 95% CI, 1.02-2.40, P = .04). The 5-fold cross-validation and subsequent meta-analysis further verified that patients in the low-risk group had better survival (95% CI, 0.74-1.79, Z = 4.72, P < .00001). Furthermore, both univariate and multivariate Cox regression analyses revealed that the prognostic value of these 5 lncRNAs was independent of other clinical prognostic factors. Further analysis indicated that these 5 lncRNAs might be associated with tumor metastasis. Taken together, our study suggests new prognostic lncRNA biomarkers for lung adenocarcinoma.
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