Genomic biomarkers in prostate cancer

Transl Androl Urol 2018 Genomics 7 Explanations View Original
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Page 1
The Clinical Need for Better Prostate Cancer Biomarkers

Prostate cancer is the most common non-cutaneous cancer in American men, with over 169,000 new diagnoses and 29,000 deaths projected in 2018. A fundamental challenge is that the disease spans an enormous biological spectrum -- from slow-growing tumors that may never threaten a patient's life to aggressive cancers that require immediate and intensive treatment. Distinguishing between these extremes at the time of diagnosis or biopsy remains one of the most consequential problems in urology.

While traditional clinical tools -- including PSA levels, digital rectal exam (DRE), and the Gleason grading system from biopsy -- provide useful information, they are insufficient on their own for personalized treatment decisions. Clinical nomograms (mathematical prediction tools) have helped, but the past decade has seen an explosion of genomic and molecular biomarker assays that add substantial new information to guide decisions about biopsy, active surveillance, surgery, radiation, or more intensive therapy.

This review provides a comprehensive overview of the validated biomarker tests available at each stage of the prostate cancer management pathway -- from the pre-biopsy setting through post-treatment monitoring. It covers both liquid biomarkers derived from blood or urine samples and tissue-based biomarkers extracted from biopsy or surgical specimens, describing the evidence behind each commercially available test.

TL;DR: The inability to reliably distinguish aggressive from indolent prostate cancer using PSA and Gleason grade alone has driven the development of multiple genomic biomarker tests now available at each stage of disease management.
Pages 2-3
PSA and Its Improved Variants: Liquid Biomarkers for Initial Detection

Prostate-specific antigen (PSA), approved by the FDA for screening in 1994, remains the most widely used prostate cancer biomarker. However, it has significant limitations -- PSA is elevated not only by cancer but also by benign prostate hyperplasia (BPH), inflammation, and trauma. At the common cutoff of 4 ng/mL, PSA has sensitivity of 67-75% and specificity of only 60-71%, meaning many men receive unnecessary biopsies while some cancers are missed.

The Prostate Health Index (PHI) improves on total PSA by incorporating [-2]proPSA, a PSA precursor more enriched in malignant tissue, along with free PSA. This formula achieves an AUC of 0.703 for detecting Gleason score 7 or higher cancer, and at 95% sensitivity, PHI is more specific (35%) than total PSA (17%) or free PSA (19%) -- meaning it could eliminate roughly 41% of unnecessary biopsies in men with mildly elevated PSA.

The 4Kscore combines four kallikrein proteins (total PSA, free PSA, intact PSA, and human kallikrein 2) with clinical factors like age, DRE result, and biopsy history. In a validation cohort of 1,012 men, the 4Kscore achieved an AUC of 0.818 for detecting high-grade cancer. Using a 7.5% risk cutoff, 360 biopsies could have been avoided while missing only 16 out of 215 aggressive cancers. Both PHI and 4Kscore significantly outperform PSA alone in head-to-head comparisons.

TL;DR: PHI and 4Kscore improve on PSA by incorporating multiple PSA isoforms and clinical factors, reducing unnecessary biopsies by up to 41% while maintaining high sensitivity for aggressive cancer detection.
Pages 3-5
Urine-Based Biomarkers: Non-Invasive Cancer Detection

PCA3 (prostate cancer antigen 3) is an FDA-approved urine test that detects a long noncoding RNA overexpressed in 95% of prostate cancers with a 66-fold median up-regulation compared to normal tissue. Unlike PSA, PCA3 expression is independent of prostate volume, making it more specific. It is FDA approved to guide re-biopsy decisions in men with a previous negative biopsy, where a PCA3 score above 25 is strongly associated with a positive repeat biopsy (odds ratio 4.56).

The Mi-Prostate Score (MiPS) combines urine PCA3, the TMPRSS2:ERG gene fusion, and serum PSA into a single algorithm. The TMPRSS2:ERG fusion is present in approximately 50% of prostate cancers and represents a distinct molecular subtype. In a validation cohort of 1,225 men, MiPS achieved an AUC of 0.772 for detecting Gleason 7 or higher cancer, significantly outperforming PSA alone (AUC 0.651).

The ExoDx Prostate Intelliscore (EPI) represents a novel approach using RNA from urinary exosomes -- tiny vesicles shed by prostate cancer cells that contain cancer-specific RNA. Unlike most urine tests, EPI does not require a digital rectal exam before sample collection. In a validation cohort of 519 men, EPI combined with clinical factors achieved an AUC of 0.73 and could reduce biopsies by 27% while missing only 5% of cancers with dominant Gleason pattern 4 or higher.

SelectMDx measures two urine RNA markers (HOXC6 and DLX1) that, when combined with clinical factors, achieved an AUC of 0.90 for high-grade prostate cancer in the validation cohort. With a negative predictive value (NPV) of 94%, SelectMDx is particularly useful for ruling out clinically significant cancer and avoiding unnecessary biopsies in low-risk patients.

TL;DR: Urine-based tests including PCA3, MiPS, ExoDx, and SelectMDx detect cancer-specific RNA from urine samples, providing non-invasive tools with higher specificity than PSA for identifying men who truly need biopsy.
Pages 5-7
Tissue-Based Biomarkers: Refining Risk After Biopsy

ConfirmMDx uses epigenetic testing to detect DNA methylation of three tumor suppressor genes (GSTP1, APC, and RASSF1) in histologically negative biopsy tissue. The assay exploits the concept of a "field effect" -- molecular changes in tissue adjacent to a tumor that persist even in areas where no cancer cells are directly visible. With a negative predictive value of 96% for Gleason 7 or higher cancer, a negative ConfirmMDx result provides strong reassurance that a repeat biopsy can be safely deferred.

Prolaris measures the expression of 31 cell cycle progression (CCP) genes in biopsy or surgical specimens. Rapidly proliferating cells with dysregulated cell cycle machinery represent more aggressive cancers. Each unit increase in CCP score was associated with a nearly doubling of prostate cancer-specific mortality risk and biochemical recurrence after surgery. Prolaris has been validated across multiple clinical contexts including active surveillance, radical prostatectomy, and radiation therapy cohorts.

The OncotypeDx Genomic Prostate Score (GPS) is a 17-gene expression assay from needle biopsy samples that evaluates four biological pathways: stromal response, cellular organization, androgen signaling, and cell proliferation. GPS was associated with adverse pathology at surgery in men who met criteria for active surveillance, and in a validation cohort, each 20-unit increase in GPS was linked to a 2.7-fold increased risk of biochemical recurrence. GPS is designed to help identify patients who appear to have low-risk cancer by Gleason grade but actually harbor more aggressive disease.

TL;DR: Tissue-based assays including ConfirmMDx, Prolaris, and OncotypeDx GPS measure epigenetic and gene expression features from biopsy specimens to distinguish indolent from aggressive cancer with greater precision than Gleason grade alone.
Pages 7-8
Decipher: Predicting Metastasis and Treatment Response

Decipher is a 22-gene genomic classifier (GC) developed from transcriptome-wide RNA profiling of radical prostatectomy specimens. The 22 genes, which include both protein-coding RNAs and non-coding RNAs involved in cell proliferation, immune response, adhesion, and motility, are combined in a machine learning algorithm. In the initial validation, Decipher achieved an AUC of 0.75 for predicting metastasis, and in high-risk patient subgroups the AUC rose to 0.79 -- outperforming any individual clinical variable.

Decipher has been validated on biopsy specimens as well as surgical specimens. In men treated with radiation therapy and androgen deprivation therapy, each 0.1-unit increase in biopsy Decipher score was independently associated with time to distant metastasis (hazard ratio 1.36). Importantly, in this cohort the Decipher C-index of 0.76 dramatically outperformed standard tools like CAPRA (0.45) and NCCN risk grouping (0.63) for predicting survival at 5 years.

Beyond prognosis, Decipher technology has been used to develop two additional predictive signatures. The PORTOS score (24 genes) predicts which patients will benefit from post-operative radiation therapy. The PAM50 subtyping system, originally developed for breast cancer, has been adapted to classify prostate cancers into luminal A, luminal B, and basal subtypes -- with the luminal B subtype carrying the worst prognosis and showing the strongest benefit from androgen deprivation therapy in retrospective analysis.

TL;DR: Decipher uses a 22-gene expression classifier to predict metastasis risk and inform treatment escalation decisions, with additional signatures (PORTOS, PAM50) predicting response to specific therapies like radiation and hormone therapy.
Page 9
ProMark: Protein Biomarkers for Treatment Planning

ProMark is an automated immunofluorescence assay that measures the expression of eight proteins (DERL1, CUL2, SMAD4, PDSS2, HSPA9, FUS, phospho-S6, and YBOX1) in biopsy tissue. These proteins were selected from 39 candidates based on their consistent association with adverse pathology -- specifically cancers that are higher grade or have spread beyond the prostate capsule -- at radical prostatectomy.

ProMark addresses a specific limitation of Gleason grading: significant variability between pathologists in scoring the same biopsy sample, and the challenge that biopsy sampling does not always capture the highest-grade region of a multifocal tumor. By measuring quantitative protein levels rather than relying on subjective morphological assessment, ProMark aims to provide more reproducible risk stratification.

In men with Gleason 3+3 or 3+4 biopsies who represent the group where treatment vs. surveillance decisions are most uncertain, ProMark's 8-protein assay achieved AUC values of 0.72-0.75 for predicting adverse pathology at surgery. When combined with standard risk stratification tools (NCCN and D'Amico risk grouping), the AUC improved to 0.75, suggesting ProMark adds information beyond traditional clinical factors.

TL;DR: ProMark measures eight protein biomarkers in biopsy tissue using automated immunofluorescence, offering reproducible risk stratification that complements Gleason scoring for men with low-to-intermediate grade cancer.
Pages 9-10
Gaps and Future Directions in Prostate Cancer Biomarkers

Despite the remarkable expansion of available biomarker assays, significant gaps remain. A major unmet need is in the active surveillance setting, where men with low-risk cancer are monitored without immediate treatment. No prospectively validated liquid or tissue-based biomarker currently exists that can reliably predict which patients will need reclassification to higher risk and require treatment -- a prediction that would allow safer delay or avoidance of repeat biopsies.

Another important gap is the absence of head-to-head comparison studies between different biomarker platforms. Multiple tests (such as Decipher and Prolaris) can be applied to the same patient and claim to predict similar outcomes, yet it remains unclear which performs best in specific clinical scenarios. Prospective registries systematically collecting outcomes alongside biomarker results would help resolve these uncertainties without requiring decades-long randomized trials.

Financial considerations also deserve attention -- many of these tests can be costly, and their contribution to financial toxicity for patients is a real concern. As the field continues to evolve rapidly, clinicians face the increasingly complex challenge of selecting the right test for the right patient at the right decision point, requiring familiarity with both the validated clinical evidence and the limitations of each commercially available assay.

TL;DR: Despite the growing arsenal of prostate cancer biomarkers, key gaps remain -- particularly for active surveillance monitoring and head-to-head comparisons between competing assays -- requiring better prospective validation to guide evidence-based clinical use.
Citation: Open Access, . Available at: PMC6043739.