ArticleAging2021
Development and validation of prognostic model based on the analysis of autophagy-related genes in colon cancer.
Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.
- Combination of pemetrexed with bevacizumab for non-small-cell lung cancer: a meta-analysis study.Journal of cardiothoracic surgery · 2024Pooled it
- Ferroptosis is a protective factor for the prognosis of cancer patients: a systematic review and meta-analysis.BMC cancer · 2024Pooled it
- Autophagy-Apoptosis Crosstalk in Cancer: Mechanisms, Signaling Pathways, and Therapeutic Targeting.Cancers · 2026Review
- Analysis of Autophagy-Related Gene Signature Associated With Clinical Prognosis and Immune Microenvironment in Colorectal Cancer.Mediators of inflammation · 2026Article
- Integration of single-cell and bulk RNA-seq via machine learning to reveal ferroptosis- and lipid metabolism-driven immune landscape heterogeneity and predict immunotherapy response in colon cancer.Frontiers in immunology · 2025Article
- PLCG2, A Regulator of Lung Adenocarcinoma Proliferation and Migration Associated with Immune Infiltration.Current cancer drug targets · 2025Article
- Comprehensive analysis of the prognostic value and immunological role of IDO1 gene in pan-cancer.European journal of medical research · 2024Article
- Prognostic value and immunological role of PD-L1 gene in pan-cancer.BMC cancer · 2024Article
- Identification of AP002498.1 and LINC01871 as prognostic biomarkers and therapeutic targets for distant metastasis of colorectal adenocarcinoma.Cancer medicine · 2024Article
- Identifying new biomarkers and potential therapeutic targets for breast cancer through the integration of human plasma proteomics: a Mendelian randomization study and colocalization analysis.Frontiers in endocrinology · 2024Article
- Machine learning algorithm to construct cuproptosis- and immune-related prognosis prediction model for colon cancer.World journal of gastrointestinal oncology · 2023Review
- Constructing a novel signature and predicting the immune landscape of colon cancer using N6-methylandenosine-related lncRNAs.Frontiers in genetics · 2023Article
- Identification of cuproptosis-based molecular subtypes, construction of prognostic signature and characterization of immune landscape in colon cancer.Frontiers in oncology · 2023Article
- Article
- LncRNAFrontiers in genetics · 2022Article
- PANoptosis-based molecular clustering and prognostic signature predicts patient survival and immune landscape in colon cancer.Frontiers in genetics · 2022Article
- Immunotherapeutic Value of MAP1LC3C and Its Candidate FDA-Approved Drugs Identified by Pan-Cancer Analysis, Virtual Screening and Sensitivity Analysis.Frontiers in pharmacology · 2022Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAutophagy, a process of self-digestion, is closely related to multiple biological processes of colon cancer. This study aimed to construct and evaluate prognostic signature of autophagy-related genes (ARGs) to predict overall survival (OS) in colon cancer patients. MATERIALS AND
methodsFirst, a total of 234 ARGs were downloaded via The Cancer Genome Atlas (TCGA) database. Based on the TCGA dataset, differentially expressed ARGs were identified in colon cancer. The univariate and multivariate Cox regression analysis was performed to screen prognostic ARGs to construct the prognostic model. The feasibility of the prognostic model was evaluated using receiver operating characteristic curves and Kaplan-Meier curves. A prognostic model integrating the gene signature with clinical parameters was established with a nomogram.
resultsWe developed an autophagy risk signature based on the 6 ARGs (
conclusionWe innovatively identified and validated 6 autophagy-related gene signature that can independently predict prognosis and reflect overall immune response intensity in the colon cancer microenvironment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.