Evidence map›Paper›PMID 41681864›Full record

ArticleCancers2026

Identification and Validation of an Autophagy-Related Gene Signature for Prognostic Prediction and Immunotherapy Response in Esophageal Squamous Cell Carcinoma.

Rui Chen, Xinran Wang, Guanyang Li, Hao Zhang, Fangqiu Fu, Hanlin Zhou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rui ChenCenter for Medical Research and Innovation, School of Life Sciences, Human Phenome Institute, Shanghai Pudong Hospital, Fudan University, Shanghai 200438, China.
Xinran WangCenter for Medical Research and Innovation, School of Life Sciences, Human Phenome Institute, Shanghai Pudong Hospital, Fudan University, Shanghai 200438, China.
Guanyang LiCenter for Medical Research and Innovation, School of Life Sciences, Human Phenome Institute, Shanghai Pudong Hospital, Fudan University, Shanghai 200438, China.
Hao ZhangShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.ORCID 0000-0001-5544-5347
Fangqiu FuDepartment of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Hanlin ZhouCenter for Medical Research and Innovation, School of Life Sciences, Human Phenome Institute, Shanghai Pudong Hospital, Fudan University, Shanghai 200438, China.

Funding

National Natural Science Foundation of China Grant No. 62472415
6 · The paper itself

Abstract

purposeDespite existing signatures, there remains a lack of robust autophagy-based biomarkers validated across multi-omics datasets and independent clinical cohorts in ESCC. The aim of our study was to develop an autophagy-related prognostic model for ESCC.

methodsUsing transcriptomic data of ESCC from GEO/TCGA and autophagy-related genes (ARGs) from five autophagy-specific datasets, we identified the intersection between ARGs and tumor-normal differentially expressed genes (DEGs). We constructed a prognostic model using stepwise multivariate Cox regression based on these genes in GSE53625 (

resultsWe successfully established a robust prognostic 4-ARGs model comprising

conclusionWe developed a novel 4-ARGs prognostic model and identified

Indexed as

autophagyautophagy-related genesesophageal squamous cell carcinomapersonalized treatmentprognostic modeltranscriptomic datatumor microenvironment

Identifiers

PMID41681864
PMCPMC12897147

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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.