Evidence map›Paper›PMID 41845026›Full record

ArticleReproductive sciences (Thousand Oaks, Calif.)2026

Comprehensive Analysis of the Predictive Value of Adenylate Cyclase 4 on Clinical Significance, Prognosis, and Immunotherapy in Human Cancers.

Cui Yu, Liu Fang, Cai Meijuan, Wang Yuanli, Fang Min

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Article in Reproductive sciences (Thousand Oaks, Calif.), 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Cui YuDepartment of Obstetrics, Yantai Yuhuangding Hospital, Yantai, Shandong, China.
Liu FangDepartment of Pathology, Qingdao Chengyang People's Hospital, Qingdao, Shandong, China.
Cai MeijuanDepartment of Clinical Laboratory, Qilu Hospital of Shandong University (Qingdao), Qingdao, Shandong, China.
Wang YuanliDepartment of Obstetrics, Yantai Yuhuangding Hospital, Yantai, Shandong, China. ytwyl2010@sina.com.
Fang MinDepartment of Gynecology, Qingdao Women's and Children's Hospital, Qingdao University, Qingdao, Shandong, China. fangminfm202108@163.com.ORCID http://orcid.org/0009-0009-7461-0622

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdenylate cyclase 4 (ADCY4), a member of the adenylate cyclase family, is an enzyme responsible for catalyzing the synthesis of the secondary messenger cyclic adenosine monophosphate (cAMP). Emerging evidence suggests a potential link between ADCY4 expression and the prognosis as well as biological behaviors of specific malignancies. Nevertheless, a systematic investigation into the role of ADCY4 in pan-cancer prognosis and its regulatory influence on the tumor microenvironment remains insufficient.

methodsThis study employed the HPA and GEPIA 2.0 databases to access ADCY4 expression across various human cancers. Utilizing R programming, we analyzed the relationship between ADCY4 expression and clinical characteristics, immune regulatory genes, immune checkpoint molecules, tumor microenvironment (TME) composition, tumor mutational burden (TMB), microsatellite instability (MSI) and drug sensitivity. DNA methylation levels of ADCY4 in uterine corpus endometrial carcinoma (UCEC) tissues were quantified using MethylTarget assay. Furthermore, in vitro experiments were conducted to validate ADCY4 expression patterns and to investigate its functional impact on UCEC cell proliferation and migratory capacity.

resultsAnalysis of TCGA datasets revealed a widespread downregulation of ADCY4 expression in multiple cancer types compared to corresponding normal tissues. ADCY4 expression levels demonstrated significant association with patient's prognosis, the expression of immune regulatory genes and checkpoints, and the degree of immune cell infiltration. Enrichment analysis, including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG), indicated that ADCY4-related genes are predominantly involved in the cAMP signaling pathway. In UCEC, high ADCY4 expression was significantly associated with improved overall survival (OS) and disease specific survival (DSS). ADCY4 was confirmed to be downregulated in both UCEC tissues and cell lines. The MethylTarget assay indicated hypermethylation of ADCY4 in UCEC tissues relative to normal controls. Functional assays demonstrated that modulating ADCY4 expression significantly influenced cell proliferation and migration.

conclusionsOur collective findings suggest that ADCY4 holds promise as a potential prognostic biomarker and a novel target for cancer immunotherapy.

Indexed as

Adenylyl CyclasesBiomarkers, TumorImmunotherapyNeoplasmsCell Line, TumorCell ProliferationDNA MethylationFemaleGene Expression Regulation, NeoplasticHumansPredictive Value of TestsPrognosisTumor MicroenvironmentAdenylyl CyclasesBiomarkers, TumorADCY4ImmunotherapyPan-cancerPrognosisTumor immune microenvironment

Identifiers

PMID41845026

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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.