Trial reportBMC medical genomics2022
Risk stratification of lung adenocarcinoma using a nomogram combined with ferroptosis-related LncRNAs and subgroup analysis with immune and N6-methyladenosine modification.
Trial report in BMC medical genomics, 2022. 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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Who cites it
11 citing papers in PubMed.
- Review
- Mechanism and therapeutic prospects of ferroptosis regulation through m6A in cancer.Frontiers in cell and developmental biology · 2026Review
- Interactions between long non-coding RNAs and m6 A modification in cancer.Discover oncology · 2025Review
- Identification of a long non-coding RNA signature associated with cuproptosis for prognosis and immunotherapy response prediction in patients with lung adenocarcinoma.Discover oncology · 2025Article
- Emerging role of RNA modification and long noncoding RNA interaction in cancer.Cancer gene therapy · 2024Review
- Implications of GCLC in prognosis and immunity of lung adenocarcinoma and multi-omics regulation mechanisms.BMC pulmonary medicine · 2024Article
- Recent advances in the potential effects of natural products from traditional Chinese medicine against respiratory diseases targeting ferroptosis.Chinese medicine · 2024Review
- Regulation of Ferroptosis in Lung Adenocarcinoma.International journal of molecular sciences · 2023Review
- Development and validation of a mutation-based model to predict immunotherapeutic efficacy in NSCLC.Frontiers in oncology · 2023Article
- Prognostic immunogenic characteristics of iron pendant disease modifiers in colon cancer.Frontiers in immunology · 2023Article
- Characterization and validation of a ferroptosis-related LncRNA signature as a novel prognostic model for lung adenocarcinoma in tumor microenvironment.Frontiers in immunology · 2022Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDetermining the prognosis of lung adenocarcinoma (LUAD) is challenging. The present study aimed to identify prognostic ferroptosis-related long noncoding RNAs (FRLs) and construct a prognostic model. Moreover, differential analysis of immune and N6-methyladenosine (m6A)-related genes was systematically conducted.
methodsA total of 504 patients selected from a dataset from The Cancer Genome Atlas were included. The patients with LUAD were randomly divided into a training group and a test group at a ratio of 1:1. Pearson correlation analysis and univariate Cox regression analysis were used to identify the prognostic FRLs. Then, a prognostic model was constructed from the optimized subset of prognostic FRLs based on the least absolute shrinkage and selection operator (LASSO) algorithm. Subsequently, the receiver operating characteristic (ROC) curve and survival analysis were used to evaluate the performance of the model. The risk score based on the prognostic model was analyzed using Cox regression analysis. Moreover, gene set enrichment analysis and differential analysis of immune- and m6A-related genes were conducted.
resultsAfter univariate Cox regression analysis and LASSO algorithm analysis, a total of 19 prognostic FRLs were selected to construct the final model to obtain the risk score. The area under the ROC curve of the prognostic model for 1-year, 3-year, and 5-year overall survival (OS) was 0.763, 0.745, and 0.778 in the training set and 0.716, 0.724, and 0.736 in the validation set, respectively. Moreover, the OS of the high-risk group was significantly worse than that of the low-risk group in the training group (P < 0.001) and in the test group (P < 0.001). After univariate and multivariate Cox regression analysis, the risk score [hazard ratio (HR) = 1.734; P < 0.001] and stage (HR = 1.557; P < 0.001) were both considered significant prognostic factors for LUAD. A nomogram was constructed based on clinical features and risk score. The expression of 34 checkpoint genes and 13 m6A-related genes varied significantly between the two risk groups.
conclusionThis study constructed a prognostic model to effectively predict the OS of patients with LUAD, and these OS-related FRLs might serve as potential therapeutic targets of LUAD.
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