Dataset Information

Vitamin D receptor (VDR) mRNA overexpression is associated with poor prognosis in breast carcinoma.

ABSTRACT:

Purpose

The prognostic value of vitamin D receptor gene (VDR) expression in breast cancer development is unclear. Here, we aimed to investigate whether VDR expression can be used as a prognostic indicator of breast cancer.

Methods

We used various public bioinformatics platforms: Oncomine, GEPIA, UALCAN, Kaplan-Meier plotter, UCSC XENA, bc-GenExMiner, WebGestalt, and STRING database.

Results

We found that VDR was upregulated in breast cancer in comparison to normal tissues. Overexpression of VDR was significantly associated with worse overall survival in breast cancer. The expression of VDR was related to age, TNM stages, estrogen receptor status, progesterone receptor status, human epidermal growth factor receptor 2 status, basal-like (PAM 50) status, triple-negative breast cancer (TNBC) status, and basal-like (PAM 50) & TNBC status (P < 0.05). Increased VDR expression in breast cancer was significantly associated with older age. The 5 hub genes for VDR were NCOA1, EP300, CREBBP, and RXRA.

Conclusion

Our investigation offers hints about the prognostic role of VDR in breast cancer. The findings suggest that VDR expression might be used as a marker to determine a breast cancer patient's prognosis. Nevertheless, further validation is warranted.

SUBMITTER: Nam SE

PROVIDER: S-EPMC9582618 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

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Publications

Vitamin D receptor (<i>VDR</i>) mRNA overexpression is associated with poor prognosis in breast carcinoma.

Nam Sang Eun SE Jin TongYi T Park Kyoung Sik KS Saindane Madhuri M Noh Woo Chul WC Yoo Young Bum YB Park Won Seo WS Yun Ik Jin IJ

Annals of surgical treatment and research 20221007 4

<h4>Purpose</h4>The prognostic value of vitamin D receptor gene (<i>VDR</i>) expression in breast cancer development is unclear. Here, we aimed to investigate whether <i>VDR</i> expression can be used as a prognostic indicator of breast cancer.<h4>Methods</h4>We used various public bioinformatics platforms: Oncomine, GEPIA, UALCAN, Kaplan-Meier plotter, UCSC XENA, bc-GenExMiner, WebGestalt, and STRING database.<h4>Results</h4>We found that <i>VDR</i> was upregulated in breast cancer in compariso ...[more]

PMID: 36304189

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