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Research Paper|Volume 16, Issue 21|pp 13392—13408

Pan-cancer analysis identifies the oncogenic role of CCNE1 in human cancers

Yujie Ouyang1, Ziyi Wu2, Dilihumaer Aili3, Chunhua Yang4, Hui Zhang5, Tong Wu4
  • 1Department of Dermatology, The Third Xiangya Hospital of Central South University, Changsha, Hunan 410013, China
  • 2Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
  • 3Department of Orthopedic Surgery, Affiliated Hospital of Traditional Chinese Medicine, Xinjiang Medical University, Ürümqi 830054, China
  • 4Department of Orthopedics, Changsha Hospital, Xiangya Medical College, Central South University, Changsha 410005, China
  • 5Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
* Co-first authors
Received: March 9, 2024Accepted: November 11, 2024Published: November 25, 2024
https://doi.org/10.18632/aging.206163

Copyright: © 2024 Ouyang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Objective: To investigate expression, prognosis, immune cell infiltration of Cyclin E1 (CCNE1) in cancer.

Methods: We used TIMER and GEPIA datasets to analyze the differential expression of CCNE1 in multiple tumors. GEPIA and Kaplan-Meier plotter databases were utilized to observe the prognostic significance of CCNE1 in cancer. TIMER and cBioPortal databases were adopted for the analysis regarding immune infiltration and mutation respectively.

Results: The results showed that CCNE1 was highly expressed in multiple cancers including BLCA, BRCA, CHOL, COAD, ESCA, HNSC, KICH, KIRC, KIRP, LIHC, LUAD, LUSC, READ, STAD, THCA, UCEC (P < 0.001) and CESC (P < 0.01). High CCNE1 expression was associated with a poor overall survival prognosis in several cancers, including ACC, BRCA, KIRC, KIRP, LGG, LIHC, LUAD and MESO. Additionally, CCNE1 expression was correlated with the cancer-associated immune infiltration level in BRCA, COAD, LUSC, STAD and THYM.

Conclusions: CCNE1 is expected to be a potential biomarker for tumor prognosis and immune infiltration in various cancers.