Evidence map›Paper›PMID 42328119›Full record

ArticleInternational journal of medical sciences2026

A Hypoxia and Immune Escape-Related Gene Signature for the Diagnosis of Prostate Cancer: An Integrated Bioinformatics Study.

Hexia Gan, Jiana Jiang, Jiebin Yang, Feng Shen, Weihong Lu, Peng Lai, Lingyu Chen, Zhibing Xu, Jianping Zhang, Jianming Guo and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of medical sciences, 2026. 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

11 authors.

Hexia GanDepartment of Oncology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Jiana JiangDepartment of Oncology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Jiebin YangDepartment of Oncology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Feng ShenDepartment of Oncology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Weihong LuClinical Research Center for Precision Medicine of Abdominal Tumor of Fujian Province, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Peng LaiClinical Research Center for Precision Medicine of Abdominal Tumor of Fujian Province, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Lingyu ChenClinical Research Center for Precision Medicine of Abdominal Tumor of Fujian Province, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Zhibing XuClinical Research Center for Precision Medicine of Abdominal Tumor of Fujian Province, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Jianping ZhangClinical Research Center for Precision Medicine of Abdominal Tumor of Fujian Province, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Jianming GuoClinical Research Center for Precision Medicine of Abdominal Tumor of Fujian Province, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.
Fan ChaoClinical Research Center for Precision Medicine of Abdominal Tumor of Fujian Province, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer remains a major global health concern for men, with hypoxia and immune escape being key drivers of tumor progression; however, no reliable diagnostic signature integrating both processes has been established for clinical use. In this study, we integrated RNA sequencing and microarray data from The Cancer Genome Atlas (TCGA)-PRAD, Genotype-Tissue Expression (GTEx), and Gene Expression Omnibus (GEO) datasets to identify hypoxia and immune escape-related genes (HIERGs). Through differential expression analysis, functional enrichment, and machine learning algorithms including Random Forest, SVM-RFE, and LASSO regression, we constructed a robust six-gene diagnostic signature comprising

Indexed as

Biomarkers, TumorHypoxiaProstatic NeoplasmsTumor EscapeComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleProstateTranscriptomeTumor MicroenvironmentBiomarkers, Tumordiagnosisgene signaturehypoxiaimmune escapeprostate cancer

Identifiers

PMID42328119
PMCPMC13280752

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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.