ArticleExperimental and therapeutic medicine2020
A novel CpG-based signature for survival prediction of lung adenocarcinoma patients.
Article in Experimental and therapeutic medicine, 2020. 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- A model-free and distribution-free multi-omics integration approach for detecting novel lung adenocarcinoma genes.Scientific reports · 2024Article
- A Novel Methylation-based Model for Prognostic Prediction in Lung Adenocarcinoma.Current genomics · 2024Article
- A methylation-based nomogram for predicting survival in patients with lung adenocarcinoma.BMC cancer · 2021Article
- A Review of DUSP26: Structure, Regulation and Relevance in Human Disease.International journal of molecular sciences · 2021Review
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung adenocarcinoma (LACA) is the leading cause of cancer-associated death worldwide. The present study intended to identify DNA methylation patterns that may serve as diagnostic and prognostic biomarkers for LACA. Data on DNA methylation and the survival data of the patients of LACA were obtained from The Cancer Genome Atlas. Kaplan-Meier curves and receiver operating characteristic curve analysis were utilized to build diagnostic and prognostic models. A total of 13 CpG sites were identified and validated as the optimal diagnostic and prognostic signature for overall survival. It was concluded that the CpG-based signature is a reliable predictor for the diagnosis and prognosis of patients with LACA.
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