Evidence mapPaperPMID 41822318Full record

ArticleWorld journal of oncology2026

Analysis of Prognosis and Immune Microenvironment of Protein Kinase C Substrate 80K-H in Diabetic Lung Cancer Patients.

Xiang Ying Li, Yue Feng, Cun Feng Li, Hong Qiao

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Article in World journal of oncology, 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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2 · The registry

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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

4 authors.

Xiang Ying LiDepartment of Endocrinology, The Fifth People's Hospital of Shenyang City, Shenyang, Liaoning, China.
Yue FengDepartment of Rehabilitation, The Second Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Liaoning, Shenyang, China.
Cun Feng LiDepartment of Rehabilitation Medicine, Shaoxing Hospital of Traditional Chinese Medicine, Shaoxing, Zhejiang, China.
Hong QiaoDepartment of Endocrinology, Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A substantial association has been established between diabetes and an elevated risk of lung cancer. This study aimed to elucidate the prognosis and characterize alterations in the immune microenvironment linked to the protein kinase C substrate 80K-H ( Methods: The expression profile of receptor for advanced glycation end products (RAGE) genes in lung adenocarcinoma (LUAD) and diabetic cohorts was analyzed utilizing data from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO). The methodological framework included single-sample gene set enrichment analysis (ssGSEA), hallmark pathway enrichment analysis, Pearson's correlation, and Wilcoxon tests, employing data from the Cancer Single Cell State Atlas (CancerSEA), tracking tumor immunophenotype (TIP) meta-server, and the Genomics of Drug Sensitivity in Cancer (GDSC) platform. Results: The analysis identified five RAGE genes with dysregulated expression in both diabetic and LUAD conditions, which were significantly associated with the activation of signaling pathways and patterns of immune cell enrichment in diabetes. PRKCSH has been identified as an independent prognostic marker in LUAD, with associations with key biological processes such as cell cycle regulation, genomic instability responses, inflammatory mediation, and stem cell characteristics. Comprehensive pathway analysis revealed inverse relationships between PRKCSH expression and immune-related molecular mechanisms. Detailed immune profiling indicated reduced infiltration levels of various immune cell populations in association with elevated PRKCSH expression. Notably, increased PRKCSH activity in LUAD was linked to enhanced enzymatic pathway responses and greater therapeutic sensitivity to specific enzyme inhibitors. Experimental validation via gene silencing demonstrated that suppression of PRKCSH effectively reduced malignant cell proliferation while promoting apoptotic mechanisms in lung cancer models. Conclusions: This extensive investigation positioned PRKCSH as a critical prognostic biomarker and a promising therapeutic target for personalized immunotherapeutic strategies in the management of LUAD.

Indexed as

Bioinformatics analysisDiabetesImmune cell infiltrationLung cancerPRKCSHPrognosisRAGE

Identifiers

PMID41822318
PMCPMC12978409

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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 Socratic graph.