ArticleJournal of clinical laboratory analysis2022
Development of six immune-related lncRNA signature prognostic model for smoking-positive lung adenocarcinoma.
Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 9 citations in OpenAlex.
- A 4-cuproptosis-related lncRNA theragnostic signature predicts survival and immunotherapy response in patients with lung adenocarcinoma.Molecular and clinical oncology · 2026Article
- Decoding LncRNA in COPD: Unveiling Prognostic and Diagnostic Power and Their Driving Role in Lung Cancer Progression.International journal of molecular sciences · 2024Review
- Article
- Development of six immune-related lncRNA signature prognostic model for smoking-positive lung adenocarcinoma.Journal of clinical laboratory analysis · 2022Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundSmoking is one of the most hazardous risk factors for the development of lung adenocarcinoma (LUAD). Many survival and prognosis-related biomarkers were discovered using database mining. However, the precision of immune-related long noncoding RNAs (lncRNAs) predictions is insufficient. We identified a novel signature to improve the estimate of smoking-related LUAD prognosis.
methodsThe Cancer Genome Atlas database (TCGA) was used to obtain the LUAD lncRNA expression profiles. The smoking-related LUAD cohort was randomly split into discovery and validation cohorts. To determine the risk score, use the LASSO Cox regression technique on the prognostic immune-related lncRNA. The risk signature has been developed.
resultsA total of 643 immune-related lncRNAs were identified as potential candidates for a risk signature. Finally, six immune-related lncRNAs (AL359915.2, AP000695.1, HSPC324, TGFB2-AS1, AC026355.1, and AC002128.2) were identified and used to carry out risk signature, which showed a close association with overall survival in the discovery cohort. We classified patients as high risk or low risk based on a median risk score of 1.0783. In the discovery cohort, overall survival was marginally longer in the low-risk group than in the high-risk category (p = 2.28e08). The area under the curves (AUC) for 1-, 3-, and 5-year survival was 0.67, 0.7, and 0.82, respectively. Furthermore, we successfully validated and combined cohorts using this risk profile. We discovered a strong positive connection between HSPC324 and VIPR1 as a possible novel biomarker for smoking-related LUAD development in our study.
conclusionsOur research has established a six immune-lncRNA signature that may be used to predict the prognosis of smoking-related LUAD with great accuracy.
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