Genomic and Phenotypic Biomarkers for Precision Medicine Guidance in Advanced Prostate Cancer

被引:6
|
作者
Davoudi, Fatemeh [1 ,2 ]
Moradi, Afshin [1 ,3 ,4 ]
Becker, Therese M. M. [5 ,6 ]
Lock, John G. G. [5 ,6 ,7 ]
Abbey, Brian [8 ]
Fontanarosa, Davide [9 ,10 ]
Haworth, Annette [11 ]
Clements, Judith [1 ,4 ]
Ecker, Rupert C. C. [1 ,4 ]
Batra, Jyotsna [1 ,3 ,4 ]
机构
[1] Queensland Univ Technol, Fac Hlth, Sch Biomed Sci, Brisbane, Qld 4059, Australia
[2] Ahvaz Jundishapur Univ Med Sci, Sch Med, Dept Med Genet, Ahvaz, Iran
[3] Queensland Univ Technol, Ctr Genom & Personalised Hlth, Brisbane, Qld 4059, Australia
[4] Queensland Univ Technol, Translat Res Inst, Brisbane, Qld 4102, Australia
[5] Univ Western Sydney, Ingham Inst Appl Med Res, Liverpool, NSW 2170, Australia
[6] Univ New South Wales, Liverpool, NSW 2170, Australia
[7] Univ New South Wales, Fac Med & Hlth, Sch Biomed Sci, Sydney, NSW 2052, Australia
[8] La Trobe Univ, La Trobe Inst Mol Sci, Sch Comp Engn & Math Sci, Dept Math & Phys Sci, Bundoora, Vic, Australia
[9] Queensland Univ Technol, Sch Clin Sci, Gardens Point Campus,2 George St, Brisbane, Qld 4000, Australia
[10] Queensland Univ Technol, Ctr Biomed Technol CBT, Brisbane, Qld 4000, Australia
[11] Univ Sydney, Inst Med Phys, Sch Phys, Camperdown, NSW 2006, Australia
基金
英国医学研究理事会;
关键词
Advanced prostate cancer; Genotypic biomarkers; Phenotypic biomarkers; Precision medicine; CIRCULATING TUMOR-CELLS; PTEN PROTEIN LOSS; LIQUID BIOPSY; DNA; RISK; RESISTANCE; ANTIGEN; RNA; HETEROGENEITY; ENZALUTAMIDE;
D O I
10.1007/s11864-023-01121-z
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Opinion statementProstate cancer (PCa) is the second most diagnosed malignant neoplasm and is one of the leading causes of cancer-related death in men worldwide. Despite significant advances in screening and treatment of PCa, given the heterogeneity of this disease, optimal personalized therapeutic strategies remain limited. However, emerging predictive and prognostic biomarkers based on individual patient profiles in combination with computer-assisted diagnostics have the potential to guide precision medicine, where patients may benefit from therapeutic approaches optimally suited to their disease. Also, the integration of genotypic and phenotypic diagnostic methods is supporting better informed treatment decisions. Focusing on advanced PCa, this review discusses polygenic risk scores for screening of PCa and common genomic aberrations in androgen receptor (AR), PTEN-PI3K-AKT, and DNA damage response (DDR) pathways, considering clinical implications for diagnosis, prognosis, and treatment prediction. Furthermore, we evaluate liquid biopsy, protein biomarkers such as serum testosterone levels, SLFN11 expression, total alkaline phosphatase (tALP), neutrophil-to-lymphocyte ratio (NLR), tissue biopsy, and advanced imaging tools, summarizing current phenotypic biomarkers and envisaging more effective utilization of diagnostic and prognostic biomarkers in advanced PCa. We conclude that prognostic and treatment predictive biomarker discovery can improve the management of patients, especially in metastatic stages of advanced PCa. This will result in decreased mortality and enhanced quality of life and help design a personalized treatment regimen.
引用
收藏
页码:1451 / 1471
页数:21
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