Evidence map›Paper›PMID 39993973›Full record

ArticleJournal of cellular and molecular medicine2025

Multi-Omics Analysis of Aberrances and Functional Implications of IRF5 in Digestive Tract Tumours.

Long Yao, Xiu Chen, Yanxin Fang, Yunlong Huang, Kaiming Wu, Xin Huang, Junrui Xu, Renquan Zhang

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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.

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

8 authors.

Long YaoDepartment of Thoracic Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.ORCID 0000-0002-9999-9736
Xiu ChenDepartment of Thoracic Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Yanxin FangDepartment of Cardiothoracic Surgery, Anhui No. 2 Provincial People's Hospital, Hefei, Anhui, China.
Yunlong HuangDepartment of Thoracic Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Kaiming WuDepartment of Thoracic Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Xin HuangDepartment of Thoracic Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Junrui XuDepartment of Thoracic Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Renquan ZhangDepartment of Thoracic Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.ORCID 0009-0001-5840-3529

Funding

Anhui Provincial Department of Education KJ2019ZD22
6 · The paper itself

Abstract

Oesophageal cancer (EC) is a common gastrointestinal malignancy and includes oesophageal squamous cell carcinoma (ESCC) and oesophageal adenocarcinoma (EAC) sub-types. Gene signatures predicting patient outcomes are not routinely used in clinical practice, particularly owing to batch effects and data standardisation. Here, we sought to establish and validate a reliable signature of senescence-related genes (SRGs) that would aid in predicting prognosis in patients with EC. We downloaded transcriptomics data, and a novel pairwise comparison algorithm selected valid SRG pairs (SRGPs) to construct a prognostic SRGP signature. The SRGPs were verified using Kaplan-Meier survival and receiver operating characteristic curve analyses. Additionally, the relationships between the SRGP signatures and prognosis, immune cell infiltration and chemotherapeutic drug responsiveness were evaluated. The random forest algorithm identified the most clinically significant genes, followed by experimental validation. 19 and 26 SRGP signatures were created for ESCC (n = 81) and EAC (n = 79), respectively. Patients with EC were divided into two groups based on the median risk score. The Kaplan-Meier analysis demonstrated significant differences in overall survival between the ESCC and EAC groups (p < 0.001). The sub-types exhibited different immune signatures. IRF5 was the most clinically significant gene for ESCC. It was highly expressed in ESCC cells, and IRF5 knockdown inhibited cell migration and proliferation, while promoting apoptosis and senescence. The SRGP signature may predict prognosis and immunotherapeutic responses, and IRF5 is a potential target gene for ESCC.

Indexed as

AdenocarcinomaEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaGastrointestinal NeoplasmsInterferon Regulatory FactorsBiomarkers, TumorCell Line, TumorCell ProliferationFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMaleMultiomicsPrognosisBiomarkers, TumorInterferon Regulatory FactorsIRF5 protein, humangene‐pair signatureoesophageal cancersenescencesingle‐cellspatial transcriptomics

Identifiers

PMID39993973
PMCPMC11850095

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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.