Table 1.
Class | Marker | Description | Clinical utility | Ref |
---|---|---|---|---|
Mainstream diagnostic markers Clinically and commercially available |
PSA | First-Line treatment | Screening and monitoring PCa | [4] |
Total PSA, free-PSA, p2PSA isoform/serum | Prostate Health Index (PHI) |
Prediction of high grade PCa Avoiding unnecessary biopsies Improve the performance of serum PSA |
[5, 6] | |
Total PSA, free-PSA, intact PSA, hK2 /serum | 4-kallikrein score (4Kscore) |
Risk prediction for mPCa Avoiding unnecessary biopsies |
[5, 6] | |
HOXC6 and DLX1 mRNA/post-DRE urine | SelectMDx | Predictive for high grade PCa | [5, 6] | |
Exosomal level of RNA expression of three genes (e.g., SPDEF, ERG and PCA3)/urine | ExoDx Prostate Intelliscore (EPI) | predictive for the probability of high-grade PCa from Grade Group (GG) 2 or higher | [5, 6] | |
PCA3 and TMPRSS2-ERG mRNA, PSA/post-DRE urine | MyProstateScore (MPS) | Avoiding unnecessary biopsies | [5, 6] | |
22-gene microarray-based genomic classifier (GC) | Decipher (post-PR testing) | Risk estimating for metastases development | [7] | |
Genotypic biomarkers | Genome-wide association studies (GWAS) | High-throughput genotyping | Uncovering the genomic variants associated-risk in developing a trait/disease | [8] |
Polygenic risk scores (PRSs) | Numerical indicators | Estimating the individual's genetic liability to a trait/disease | [9] | |
AR point mutations, AR amplifications, and AR variants HSD3B1(1245C) genotype |
Androgen receptor (AR) |
Potentially predictive for optimal treatment Worse OS and early development of CRPC Potentially predictive for time of progression to CRPC in response to ADT |
||
PTEN loss | PTEN and PI3K-AKT pathway |
Lack of response to abiraterone acetate, but a more desirable response to docetaxel Potentially predictive for AKT inhibitors Poor survival |
[18, 19] | |
Homologous recombination deficiency (HRD); BRCA2, ATM, CDK12, and BRCA1 variants Mismatch repair deficiency (MMRd); MSH2 and MSH6 mutations |
DNA damage response (DDR) |
Predictive for PARP inhibitors Worse prognosis Potentially predictive for PD-1 inhibitors Shorter OS |
||
CTCs and ctDNA RNA-based fragments Exosomes |
Reducing the necessity of invasive biopsies |
Commercially available/clinical usage Clinical trial Clinical trial |
[26, 27] | |
Phenotypic biomarkers (Clinical trials) |
Serum testosterone level (pre-treatment) |
Levels ≥ 5 ng/dL vs. < 5 Levels > 0.05 vs. 0.05 > ng/mL |
levels ≥ 5 ng/dL; patients benefit more from AR-targeted therapy/longer PSA-PFS and OS Levels < 5; treatment with abiraterone; prolonged PSA-PFS and higher PSA response Levels > 0.05 ng/mL; treatment with enzalutamide; superior PFS, while worse PFS with docetaxel |
[28] [29] |
SLFN11 expression | Overexpression of SLFN11 | Predictive for platinum-based chemotherapy/longer radiographic PFS, diminishing PSA ≥ 50% | [30] | |
Total alkaline phosphatase (tALP) | Normalization of tALP |
prognostic for OS Treatment with Radium-223; better OS |
[31] | |
Neutrophil-to-lymphocyte ratio (NLR) |
Higher baseline NLR NLR ≤ 5 vs. NLR > 5 NLR ≥ 2.5 vs. NLR < 2.5 |
Receiving abiraterone; worse OS Receiving enzalutamide; inferior OS and CSS Treatment with 223Ra; improved OS Better 1-year rPFS and 2-year CSS; received post-docetaxel ARAT agents compared to patients with pre-docetaxel ARAT Lower 1-year rPFS and 2-year CSS |
[32] [33] [33] |
|
PD-L1 expression | Tumor pathology |
Higher risk of progression Higher risk of recurrence after radical prostatectomy Immune checkpoint-inhibiting therapies |
[34] | |
PSMA and choline proteins | Radioligand-based imaging modalities | Detecting nodal and distant metastatic disease | [35] |