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Evaluation of the prognostic significance of CDK6 in breast cancer

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Abstract

Cyclin-dependent kinase (CDK) gene family is an important cell cycle progression regulator, which may function as a tumor suppressor. We performed a systematic onco-informatics analysis to investigate the prognostic value of CDK6 in breast cancer. CDK6 expression was evaluated using the Oncomine and UALCAN database. The relevance between CDK6 level and clinical parameters and survival data in breast cancer was analyzed using the bc-GenExMiner, and Kaplan–meier plotter databases. The methylation status and heat map of CDK6 were analyzed by utilizing the UCSC Xena and UALCAN. It was identified that CDK6 was under-expressed in different subtypes of breast cancer. Estrogen receptor (ER) and progesterone receptor (PR) were negatively correlated with CDK6 expression. On the other hand, nottingham prognostic index (NPI), human epidermal growth factor receptor-2 (HER-2) status, basal-like status, scarff–bloom–richardson (SBR) grade, and triple-negative status were positively correlated with CDK6 level in breast cancer samples with respect to normal tissues. Besides, a positive correlation between CDK6 and pronecroptosis E3 ubiquitin ligase (PELI1) gene expression was confirmed. Our study revealed that CDK6 might be used as a biomarker for breast cancer prognosis with PELI1. However, more comprehensive experimental data are needed to clarify the value of CDK6 in breast cancer.

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Authors and Affiliations

  1. Department of Genetic Engineering and Biotechnology, Jashore University of Science and Technology, Jashore 7408, Bangladesh

    Jeba Afifa Zinia & Md. Shahedur Rahman

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  1. Jeba Afifa Zinia
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  2. Md. Shahedur Rahman
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Correspondence to Md. Shahedur Rahman.

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13721_2020_250_MOESM1_ESM.pptx

Supplementary file1 A heat map of CDK6 expression and DNA methylation status; B CDK6 expression in different DNA methylation clusters. (PPTX 179 kb)

Supplementary file2 (DOCX 27 kb)

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Zinia, J.A., Rahman, M.S. Evaluation of the prognostic significance of CDK6 in breast cancer. Netw Model Anal Health Inform Bioinforma 9, 40 (2020). https://doi.org/10.1007/s13721-020-00250-x

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