A Novel Gene Signature Associated With "E2F Target" Pathway for Predicting the Prognosis of Prostate Cancer

Haoran Xia; Miaomiao Wang; Xiaonan Su; Zhengtong Lv; Qiuxia Yan; Xiaoxiao Guo; Ming Liu

doi:10.3389/fmolb.2022.838654

A Novel Gene Signature Associated With "E2F Target" Pathway for Predicting the Prognosis of Prostate Cancer

Front Mol Biosci. 2022 Apr 13:9:838654. doi: 10.3389/fmolb.2022.838654. eCollection 2022.

Authors

Haoran Xia^{1

2}, Miaomiao Wang^{1

2}, Xiaonan Su³, Zhengtong Lv^{1

2}, Qiuxia Yan^{1

4}, Xiaoxiao Guo^{1

2}, Ming Liu^{1

2}

Affiliations

¹ Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
² Graduate School of Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
³ Department of Urology, Zoucheng People's Hospital, Zoucheng, China.
⁴ Peking University Fifth School of Clinical Medicine, Beijing, China.

Abstract

Background: The effect of the adenoviral early region 2 binding factors (E2Fs) target pathway on prostate cancer is not clear. It is necessary to establish an E2F target-related gene signature to predict prognosis and facilitate clinical decision-making. Methods: An E2F target-related gene signature was established by univariate and LASSO Cox regression analyses, and its predictive ability was verified in multiple cohorts. Moreover, the enrichment pathway, immune microenvironment, and drug sensitivity of the activated E2F target pathway were also explored. Results: The E2F target-related gene signature consisted of MXD3, PLK1, EPHA10, and KIF4A. The patients with high-risk scores showed poor prognosis, therapeutic resistance, and immunosuppression, along with abnormal growth characteristics of cells. Tinib drugs showed high sensitivity to the expression of MXD3 and EPHA10 genes. Conclusion: Our research established an E2F target-related signature for predicting the prognosis of prostate cancer. This study provides insights into formulating individualized detection and treatment as well as provides a theoretical basis for future research.

Keywords: gene signature; immune infiltration; prognosis; prostate cancer; therapeutic resistance; “E2F target” pathway.