Evidence map›Paper›PMID 40775249›Full record

ArticleScientific reports2025

ITGAV as a promising diagnostic, immunological, and prognostic biomarker in pan-cancer.

Hanyang Su, Jie Wang, Xinyu Cao, Xiangqian Zhang, Huajun Zhang, Xiaojin Liu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Hanyang Su *Department of Respiratory Medicine & Teaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, China.
Jie Wang *Department of Physiology, Xiangya School of Basic Medical Sciences, Central South University, Changsha, China.
Xinyu Cao *Department of Physiology, Xiangya School of Basic Medical Sciences, Central South University, Changsha, China.
Xiangqian ZhangDepartment of Oncology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Huajun ZhangDepartment of Ultrasonic Imaging, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China. zhanghuajun_91@163.com.
Xiaojin LiuDepartment of Plastic and Cosmetic Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China. xiaojin_liu@csu.edu.cn.

Funding

the National Natural Science Foundation of China (No. 81501676)the Natural Science Foundation of Hunan Province No.2023JJ41020
6 · The paper itself

Abstract

Integrin αV (ITGAV) plays a key role in cell adhesion, migration, and immune regulation, and is implicated in tumor progression. However, its comprehensive expression profile and functional relevance across different cancers remain poorly understood. We conducted an integrative pan-cancer analysis of ITGAV using data from TCGA, GTEx, CCLE, and other public databases. Expression, diagnostic value (via ROC analysis), and prognostic significance (via Cox and Kaplan-Meier analyses of OS, DSS, PFS, and DFS) were assessed. We further explored ITGAV's correlation with immune cell infiltration and immune-related genes, its predictive role in immunotherapy response based on immunophenoscore (IPS), and its drug-binding potential through molecular docking. (1) ITGAV was significantly overexpressed in multiple cancer types including LIHC, COAD, and STAD. (2) ROC analysis confirmed its strong diagnostic value, particularly in HNSC, UCEC, and ESCA. (3) High ITGAV expression was associated with poorer survival outcomes in most cancers, while a protective role was observed in KIRC. (4) ITGAV expression was positively correlated with immune cell infiltration and co-expressed with immune-activating and immunosuppressive genes. (5) The expression level of ITGAV correlates with the IPS score, suggesting its predictive value for the benefit of immunotherapy. (6) Molecular docking identified strong binding affinities between ITGAV and six candidate compounds, including gemcitabine and pioglitazone. Our findings demonstrate that ITGAV is a promising biomarker for diagnosis, prognosis, and immunotherapy prediction across cancers. Its immunological associations and druggability highlight its potential as a candidate therapeutic target.

Indexed as

Biomarkers, TumorNeoplasmsGene Expression Regulation, NeoplasticHumansImmunotherapyKaplan-Meier EstimateMolecular Docking SimulationPrognosisROC CurveBiomarkers, TumorBiomarkerImmune infiltrationImmunotherapyITGAVPan-cancerPrognosis

Identifiers

PMID40775249
PMCPMC12332088

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Registered trials

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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.