ArticleMediators of inflammation2026
Analysis of Autophagy-Related Gene Signature Associated With Clinical Prognosis and Immune Microenvironment in Colorectal Cancer.
Article in Mediators of inflammation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Analysis of Autophagy-Related Gene Signature Associated With Clinical Prognosis and Immune Microenvironment in Colorectal Cancer.Mediators of inflammation · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
backgroundAutophagy has a critical involvement in the initiation and progression of various cancers, including colorectal cancer (CRC). The feasibility of using autophagy-related genes (ATGs) as prognostic tools for CRC patients is yet to be determined.
methodsRNA sequencing data and clinical information for CRC were obtained from The Cancer Genome Atlas (TCGA) (training set) and Gene Expression Omnibus (GEO) datasets GSE39582 and GSE44076 (validation). ARGs were retrieved from the Human Autophagy Database, and differentially expressed ARGs (DAGs) were identified using the "limma" R package. Prognostic signature DAGs were established via univariate Cox and LASSO Cox regression analyses. The obtained signature was validated through expression analysis, autophagy scoring, survival prediction, and correlation with immune status. Immunohistochemistry assays and in vitro functional experiments in SW480 cells were performed to assess the biological roles of selected DAGs, particularly WIPI2.
resultsWe constructed an 11-gene prognostic signature (CANX, NRG1, WIPI1, EIF2AK3, WDR45, PELP1, ULK1, WIPI2, DAPK1, ULK3, and MAP1LC3C), with high-risk patients showing significantly reduced overall survival compared to low-risk patients. WIPI2, highly expressed in SW480 cells, was selected for functional validation. Knockdown of WIPI2 inhibited cell proliferation, suppressed autophagy (decreased LC3B-II, increased p62), and promoted apoptosis (increased cleaved caspase-3). These findings confirm the pro-survival role of WIPI2 in CRC. The prognostic signature remained independently predictive after adjusting for clinical factors and showed a strong correlation with immune infiltration in TCGA CRC samples.
conclusionThe autophagy-related signature independently predicts CRC prognosis and guides immunotherapy strategies.
Indexed as
Identifiers
What OpenQuestion holds
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.