Development and validation of a kinase-related gene signature as a novel diagnostic and prognostic model for prostate cancer

IF 4.2 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Yaqiang Huang , Haiying Zhu , Zhenguo Liang , Weiyang Wei , Hao Yang , Qi Wang , Hongxing Huang , Huichan He , Rujun Mo , Jianheng Ye , Qishan Dai , Weide Zhong , Yingke Liang
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引用次数: 0

Abstract

Background

Prostate cancer (PCa) is a prevalent malignant tumor in men worldwide. Kinases play a key role in the development of multiple tumors. Nevertheless, the role of kinases in PCa remains largely unclear.

Methods

A kinase-related gene signature was constructed by LASSO Cox regression analysis using the TCGA_PRAD cohort. The diagnostic and prognostic values of the signature were then evaulated. Furthermore, a loss-of-function assay was carried out to explore the function of NEK5 in PCa.

Results

A signature of 13 kinase-related genes (NEK5, FRK, STK39, STYK1, IGF1R, RPS6KC1, TTK, CDK1, NEK2, PTK6, DAPK1, MELK and EPHA10) was constructed. The PCa patients presenting a high-risk score according to the signature demonstrated poorer disease-free survival compared to those with a low score. Additionally, TMB was found to be remarkably increased in patients categorized as high-risk relative to low-risk patients. Moreover, the 13-gene signature may also have good predictive value for PCa diagnosis. Furthermore, NEK5 expression was remarkably elevated in PCa tissues relative to benign tissues. NEK5 deficiency significantly inhibited PCa cell growth and suppressed mitochondrial OXPHOS.

Conclusion

The 13-gene signature constructed in this study may exhibit good performance in PCa diagnosis and prognosis evaluation. We identified the oncogenic role of NEK5 in PCa. NEK5 may serve as a therapeutic target for treatting PCa.
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来源期刊
CiteScore
12.30
自引率
0.00%
发文量
218
审稿时长
32 days
期刊介绍: BBA Molecular Basis of Disease addresses the biochemistry and molecular genetics of disease processes and models of human disease. This journal covers aspects of aging, cancer, metabolic-, neurological-, and immunological-based disease. Manuscripts focused on using animal models to elucidate biochemical and mechanistic insight in each of these conditions, are particularly encouraged. Manuscripts should emphasize the underlying mechanisms of disease pathways and provide novel contributions to the understanding and/or treatment of these disorders. Highly descriptive and method development submissions may be declined without full review. The submission of uninvited reviews to BBA - Molecular Basis of Disease is strongly discouraged, and any such uninvited review should be accompanied by a coverletter outlining the compelling reasons why the review should be considered.
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