CENP-H as a new prognostic biomarker for tumors: a real-world literature review.

IF 3.5 3区医学 Q2 ONCOLOGY

Frontiers in Oncology Pub Date : 2025-02-25 eCollection Date: 2025-01-01 DOI:10.3389/fonc.2025.1521988

Qiao Li, Yang Tang, Jie-Bin Zuo, Hao Han, Guang-Xu Tu, Cheng Chen

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引用次数: 0

Abstract

Centromere protein H (CENP-H) is an important component of a functional centromere. Studies have demonstrated that CENP-H is overexpressed in renal cell, gastric, hypopharyngeal squamous cell, nasopharyngeal, endometrial, lung, cervical, esophageal, liver, colorectal, oral squamous cell, breast, and tongue carcinomas. CENP-H overexpression is positively correlated with a poor prognosis, pathological stage, T stage, and lymph node metastasis in patients with the above carcinomas. CENP-H can promote cancer growth and metastasis through PI3K/AKT, survivin, and mitochondrial apoptosis signaling mechanisms, and it can be regulated by long non-coding ribonucleic acid (lncRNA) plasmacytoma variant translocation 1 (PVT1)/miR-612, Sp1, or Sp3. This review aims to summarize the expression of CENP-H, the relationship between CENP-H expression and prognostic features, growth and metastasis of cancer in patients, as well as the mechanism of CENP-H in cancer. It also proposes a new candidate molecule for treating patients with cancer.

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来源期刊

Frontiers in Oncology Biochemistry, Genetics and Molecular Biology-Cancer Research

CiteScore

6.20

自引率

10.60%

发文量

6641

审稿时长

14 weeks

期刊介绍： Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.