The role of various collagen types in tumor biology: a review.

IF 3.5 3区 医学 Q2 ONCOLOGY Frontiers in Oncology Pub Date : 2025-03-05 eCollection Date: 2025-01-01 DOI:10.3389/fonc.2025.1549797
Yuchuan Zhou, Zhonghui Jiang, Lu Cao, Jianquan Yang
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Abstract

Collagen comprises approximately 30% of the body's protein content and is essential for maintaining the structural integrity, support, and strength of the skin, muscles, bones, and connective tissues. Recent research has further elucidated its role in various aspects of tumor biology, including tumorigenesis, invasion, migration, drug resistance, and recurrence. Furthermore, collagen is involved in prognostic assessments, the evaluation of therapeutic efficacy, immunoregulation, and the identification of potential treatment targets in oncology. This review examines a range of tumor types, including lung, gastric, breast, melanoma, and colorectal cancers, among others. Our objective is to differentiate these tumors based on the specific types of collagen present and to analyze the roles of various collagen types in tumor development, progression, prognosis, and their potential as therapeutic targets.

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各种胶原蛋白在肿瘤生物学中的作用综述。
胶原蛋白约占人体蛋白质含量的30%,对维持皮肤、肌肉、骨骼和结缔组织的结构完整性、支撑力和强度至关重要。近年来的研究进一步阐明了其在肿瘤发生、侵袭、迁移、耐药和复发等肿瘤生物学各方面的作用。此外,胶原蛋白还参与肿瘤预后评估、治疗效果评估、免疫调节和潜在治疗靶点的确定。本文综述了一系列肿瘤类型,包括肺癌、胃癌、乳腺癌、黑色素瘤和结直肠癌等。我们的目的是根据胶原蛋白的具体类型来区分这些肿瘤,并分析各种胶原蛋白在肿瘤发生、进展、预后中的作用,以及它们作为治疗靶点的潜力。
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来源期刊
Frontiers in Oncology
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.
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