Evidence map›Paper›PMID 40347070›Full record

ArticleCancer medicine2025

Enhanced IL36RN Expression and Its Association With Immune Microenvironment Predicts Poor Prognosis in Gastric Cancer.

Xiaojing Zhang, Sutian Jiang, Hang Yin, Hui Zhang, Lei Yang, Pingping Sun, Xiaoling Kuai, Chen Chen, Jianfei Huang

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Article in Cancer 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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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

9 authors.

Xiaojing ZhangClinical and Translational Research Center, Affiliated Hospital of Nantong University and Medical School of Nantong University, Nantong, Jiangsu, China.
Sutian JiangDepartment of Pathology, Lishui People's Hospital, Lishui, Zhejiang, China.
Hang YinClinical and Translational Research Center, Affiliated Hospital of Nantong University and Medical School of Nantong University, Nantong, Jiangsu, China.
Hui ZhangClinical and Translational Research Center, Affiliated Hospital of Nantong University and Medical School of Nantong University, Nantong, Jiangsu, China.
Lei YangClinical and Translational Research Center, Affiliated Hospital of Nantong University and Medical School of Nantong University, Nantong, Jiangsu, China.
Pingping SunClinical and Translational Research Center, Affiliated Hospital of Nantong University and Medical School of Nantong University, Nantong, Jiangsu, China.
Xiaoling KuaiDepartment of Gastroenterology, Nantong University Affiliated Hospital, Nantong, Jiangsu, China.
Chen ChenDepartment of Oncology, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and the Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Jianfei HuangClinical and Translational Research Center, Affiliated Hospital of Nantong University and Medical School of Nantong University, Nantong, Jiangsu, China.ORCID https://orcid.org/0000-0002-1276-5962

Funding

Jiangsu Province Capability Improvement Project through Science, Technology, and Education ZDXK202234Jiangsu Provincial Research Hospital YJXYY202204National Natural Science Foundation of China 81902334National Natural Science Foundation of China 82073025National Natural Science Foundation of China 82303008National Natural Science Foundation of China 82303877the China Postdoctoral Science Foundation Fund 2023M731819the Science and Technology Project of Nantong, Jiangsu, China MS2023049
6 · The paper itself

Abstract

backgroundGastric cancer (GC) remains a prevalent and lethal malignancy worldwide, underscoring the urgent need to identify novel therapeutic targets and elucidate the tumor microenvironment (TME) to enhance clinical outcomes.

methodsIL36RN mRNA expression in GC tissues was analyzed using The Cancer Genome Atlas (TCGA) dataset. Bioinformatics approaches, cellular models, and clinical tissue microarrays were employed to investigate the functional role of IL36RN, its interactions within the TME, and its prognostic significance.

resultsIL36RN expression was markedly upregulated in GC tissues and associated with unfavorable survival outcomes. Functional assays demonstrated that IL36RN silencing suppressed GC cell proliferation and invasion. Elevated IL36RN expression correlated with enhanced CD8

conclusionsIL36RN represents a potential prognostic biomarker and therapeutic target in GC, offering novel avenues for precision oncology and immunotherapeutic intervention.

Indexed as

Biomarkers, TumorInterleukinsStomach NeoplasmsTumor MicroenvironmentCD8-Positive T-LymphocytesCell Line, TumorCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansLymphocytes, Tumor-InfiltratingMaleMiddle AgedPrognosisBiomarkers, TumorInterleukinsCD8+ T cellsgastric cancerIL36RNprognosistumor microenvironment

Identifiers

PMID40347070
PMCPMC12065078

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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.