Evidence mapPaperPMID 39116105Full record

ArticlePloS one2024

An integrated bioinformatic investigation of kallikrein gene family members in kidney renel cell carcinoma.

Baoquan Wang, Lun Yang, Haiyun Qin, Fengzhen Li, Peitong Zhang

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Article in PloS one, 2024. 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.

Baoquan WangDepartment of Oncology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.ORCID https://orcid.org/0000-0002-2177-5708
Lun YangThe Second Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, China.
Haiyun QinThe Second Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, China.
Fengzhen LiThe Second Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, China.
Peitong ZhangDepartment of Oncology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.ORCID https://orcid.org/0000-0002-5608-7964

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundsKLKs have been proved to be key regulators of the tumor microenvironment. In this study, we explored the potential of Kallikrein-related peptidases (KLKs) as clinical diagnostic and prognostic markers in patients with kidney renal clear cell carcinoma (KIRC) as well as their relationship with common immuno-inhibitor and immune cell infiltration in the tumor microenvironment to provide new targets and novel ideas for KIRC therapy.

methodsOncomine, Gene Expression Profiling Interactive Analysis (GEPIA), UCSC Xena, Genotype-Tissue Expression (GTEx), Kaplan-Meier plotter, cBioPortal, STRING, GeneMANIA, and TISIDB were used to analyze the differential expression, prognostic value, gene changes, molecular interaction, and immune infiltration of KLKs in patients with KIRC.

resultsFrom the gene expression level, it can be determined that KLK1, KLK6, and KLK7 are differentially expressed in KIRC and normal tissues. From the perspective of clinical prognosis, KLK1, KLK13, and KLK14 are highly correlated with the clinical prognosis of KIRC. The expression of KLKs is regulated by various immunosuppressive agents, with KDR, PVRL2, and VTCN1 being the most significant. The expression of KLKs is significantly correlated with the infiltration of various immune cells, of which Eosinophils and Neutrophils are the most significant.

conclusionsKLK1, KLK6, KLK7, KLK13, and KLK14 have potential as diagnostic and prognostic biomarkers, among which KLK1 is the most significant. This study may provide detailed immune information and promising targets for KIRC immunotherapy to assist in designing new immunotherapies.

Indexed as

Carcinoma, Renal CellComputational BiologyKallikreinsKidney NeoplasmsBiomarkers, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisTumor MicroenvironmentBiomarkers, TumorKallikreins

Identifiers

PMID39116105
PMCPMC11309392

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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.