ArticleBioMed research international2020
A 5-Gene Signature Is Closely Related to Tumor Immune Microenvironment and Predicts the Prognosis of Patients with Non-Small Cell Lung Cancer.
Article in BioMed research international, 2020. 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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12 citing papers in PubMed, 19 citations in OpenAlex.
- Radiogenomics models for predicting prognosis in locally advanced non-small cell lung cancer patients undergoing definitive chemoradiotherapy.Translational lung cancer research · 2024Article
- Prognostic correlation between specialized capillary endothelial cells and lung adenocarcinoma.Heliyon · 2024Article
- Construction and validation of a nomogram based on N6-Methylandenosine-related lncRNAs for predicting the prognosis of non-small cell lung cancer patients.Cancer medicine · 2023Article
- A new immune signature for survival prediction and immune checkpoint molecules in non-small cell lung cancer.Frontiers in oncology · 2023Article
- Novel pyroptosis-associated genes signature for predicting the prognosis of sarcoma and validation.Bioscience reports · 2022Article
- Predicting Differences in Treatment Response and Survival Time of Lung Adenocarcinoma Patients Based on a Prognostic Risk Model of Glycolysis-Related Genes.Frontiers in genetics · 2022Article
- Integrating Radiomics with Genomics for Non-Small Cell Lung Cancer Survival Analysis.Journal of oncology · 2022Article
- Review
- Systematic profiling of invasion-related gene signature predicts prognostic features of lung adenocarcinoma.Journal of cellular and molecular medicine · 2021Article
- Homology-Based Image Processing for Automatic Classification of Histopathological Images of Lung Tissue.Cancers · 2021Article
- A bioinformatic analysis of the inhibin-betaglycan-endoglin/CD105 network reveals prognostic value in multiple solid tumors.PloS one · 2021Article
- Development and validation of an immune-related prognostic signature in lung adenocarcinoma.Cancer medicine · 2020Article
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Authors and funding
8 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeEstablishing prognostic gene signature to predict clinical outcomes and guide individualized adjuvant therapy is necessary. Here, we aim to establish the prognostic efficacy of a gene signature that is closely related to tumor immune microenvironment (TIME). METHODS AND
resultsThere are 13,035 gene expression profiles from 130 tumor samples of the non-small cell lung cancer (NSCLC) in the data set GSE103584. A 5-gene signature was identified by using univariate survival analysis and Least Absolute Shrinkage and Selection Operator (LASSO) to build risk models. Then, we used the CIBERSORT method to quantify the relative levels of different immune cell types in complex gene expression mixtures. It was found that the ratio of dendritic cells (DCs) activated and mast cells (MCs) resting in the low-risk group was higher than that in the high-risk group, and the difference was statistically significant (
conclusionThe 5-gene signature is a powerful and independent predictor that could predict the prognosis of NSCLC patients. In addition, our gene signature is correlated with TIME parameters, such as DCs activated and MCs resting. Our findings suggest that the 5-gene signature closely related to TIME could predict the prognosis of NSCLC patients and provide some reference for immunotherapy.
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