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Biomarkers for Prostate Cancer: From Diagnosis to Treatment.
Chen, Jia-Yan; Wang, Pei-Yan; Liu, Ming-Zhu; Lyu, Feng; Ma, Ming-Wei; Ren, Xue-Ying; Gao, Xian-Shu.
Affiliation
  • Chen JY; Department of Radiation Oncology, Peking University First Hospital, Beijing 100034, China.
  • Wang PY; School of Information, University of Michigan, Ann Arbor, MI 48109, USA.
  • Liu MZ; Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou 350014, China.
  • Lyu F; Department of Radiation Oncology, Peking University First Hospital, Beijing 100034, China.
  • Ma MW; Department of Radiation Oncology, Peking University First Hospital, Beijing 100034, China.
  • Ren XY; Department of Radiation Oncology, Peking University First Hospital, Beijing 100034, China.
  • Gao XS; Department of Radiation Oncology, Peking University First Hospital, Beijing 100034, China.
Diagnostics (Basel) ; 13(21)2023 Oct 31.
Article in En | MEDLINE | ID: mdl-37958246
ABSTRACT
Prostate cancer (PCa) is a widespread malignancy with global significance, which substantially affects cancer-related mortality. Its spectrum varies widely, from slow-progressing cases to aggressive or even lethal forms. Effective patient stratification into risk groups is crucial to therapeutic decisions and clinical trials. This review examines a wide range of diagnostic and prognostic biomarkers, several of which are integrated into clinical guidelines, such as the PHI, the 4K score, PCA3, Decipher, and Prolaris. It also explores the emergence of novel biomarkers supported by robust preclinical evidence, including urinary miRNAs and isoprostanes. Genetic alterations frequently identified in PCa, including BRCA1/BRCA2, ETS gene fusions, and AR changes, are also discussed, offering insights into risk assessment and precision treatment strategies. By evaluating the latest developments and applications of PCa biomarkers, this review contributes to an enhanced understanding of their role in disease management.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Diagnostics (Basel) Year: 2023 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Diagnostics (Basel) Year: 2023 Document type: Article Affiliation country: China
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