Evidence map›Paper›PMID 39215019›Full record

ArticleScientific reports2024

Prognostic value of KLFs family genes in renal clear cell carcinoma.

MengRu Fu, YuanZhuo Du, Fei Liu, Jun Xiao, Li Zhang, Yan Zeng, YuJuan Yang, Yan Yan

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

MengRu Fu *Department of Nephrology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, Jiangxi Province, China.
YuanZhuo Du *Key Laboratory of Urinary System Diseases of Jiangxi Province, Nanchang, China.
Fei LiuDepartment of Nephrology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, Jiangxi Province, China.
Jun XiaoDepartment of Nephrology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, Jiangxi Province, China.
Li ZhangDepartment of Nephrology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, Jiangxi Province, China.
Yan ZengDepartment of Nephrology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, Jiangxi Province, China.
YuJuan YangDepartment of Nephrology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, Jiangxi Province, China.
Yan YanDepartment of Nephrology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, Jiangxi Province, China. ndyfy01234@ncu.edu.cn.

Funding

National Natural Science Foundation of China 82060148
6 · The paper itself

Abstract

Numerous studies have shown that the Krüppel-like factors (KLFs) family of transcription factors regulate various eukaryotic physiological processes including the proliferation, differentiation, senescence, death, and carcinogenesis of animal cells. In addition, they are involved in the regulation of key biological processes such as cell cycle, DNA repair, and immune response. Current studies focus on investigating the role of KLFs in normal physiological conditions and the incidence and development of diseases. However002C the significance of KLFs family genes in clear cell renal cell carcinoma (ccRCC) remains partly understood; therefore, an in-depth investigation of their role and clinical value in this cancer is desired. The study aimed to investigate the role of KLF family genes in the incidence, development, and prognosis of ccRCC, and to identify the related potential biomarkers and therapeutic targets. The expression of KLFs in the RNA sequencing data of 613 ccRCCs from the TCGA database was analyzed using R software, and UALCAN and GEPIA assessed the expression of KLF genes in ccRCC. Real-time fluorescence quantitative PCR analysis was performed using 10 pairs of paired ccRCC sample tissues and renal cancer cell lines from the First Affiliated Hospital of Nanchang University. Overall survival (OS), progression-free interval (PFI), and disease-specific survival (DSS) of Kidney Clear Cell Carcinoma (KIRC) samples at differential expressions of KLFs in the TCGA database were analyzed using the R software, followed by generating a nomogram prediction model. GSCALite assessed the interactions of KLF genes with miRNAs and generated network maps. Protein interaction network maps of 50 neighboring genes associated with KLF mutations were analyzed using STRING with GO and KEGG functional enrichment analyses. The cBioPortal determined the probability of KLF gene mutations and their impact on OS and disease-free survival (DFS) in patients with ccRCC. Immune cell infiltration of KLFs was analyzed using TIMER. Finally, GSCALite was used to analyze the drug sensitivity and associated pathways of action of KLFs. Correlation validation using cellular experiments. KLF3/5/9/15 were significantly downregulated in ccRCC tissues, whereas KLF16/17 were upregulated compared with the adjacent tissues. Patients with high mRNA levels of KLF16/17 showed significantly lower OS, PFI, and DSS, whereas KLF3/5/9 showed a reverse trend. In patients with ccRCC, a significant correlation was observed between KLF mutations and OS and DSS. Furthermore, the correlation of KLF3/5/9 with immune cell infiltration was stronger than that of KLF15/16, while KLF17 was significantly associated with the Epithelial-Mesenchymal Transition (EMT) pathway. Overexpression of KLF5 inhibits the proliferative and migratory capacity of renal cancer cells (786-O and OS-RC-2), as well as their sensitivity to relevant small molecule drugs. Our research revealed the expression levels and biological significance of KLF genes in ccRCC, particularly highlighting the potential of KLF5 as a promising biomarker and therapeutic target for effective prognosis and diagnosis of ccRCC.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellGene Expression Regulation, NeoplasticKidney NeoplasmsKruppel-Like Transcription FactorsCell Line, TumorFemaleHumansMaleMiddle AgedPrognosisBiomarkers, TumorKruppel-Like Transcription FactorsCcRCCFamily genesKLFsOnline databasesSurvival prognosis

Identifiers

PMID39215019
PMCPMC11364764

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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.