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Members of Coronaviridae family have been the source of respiratory illnesses. The outbreak of SARS-CoV-2 that produced a severe lung disease in afflicted patients in China and other countries was the reason for the incredible attention paid toward this viral infection. It is known that SARS-CoV-2 is dependent on TMPRSS2 activity for entrance and subsequent infection of the host cells and TMPRSS2 is a host cell molecule that is important for the spread of viruses such as coronaviruses. Different factors can increase the risk of prostate cancer, including older age, a family history of the disease. Androgen receptor (AR) initiates a transcriptional cascade which plays a serious role in both normal and malignant prostate tissues. TMPRSS2 protein is highly expressed in prostate secretory epithelial cells, and its expression is dependent on androgen signals. One of the molecular signs of prostate cancer is TMPRSS2-ERG gene fusion. In TMPRSS2-ERG-positive prostate cancers different patterns of changed gene expression can be detected. The possible molecular relation between fusion positive prostate cancer patients and the increased risk of lethal respiratory viral infections especially SARS-CoV-2 can candidate TMPRSS2 as an attractive drug target. The studies show that some molecules such as nicotinamide, PARP1, ETS and IL-1R can be studied deeper in order to control SARS-CoV-2 infection especially in prostate cancer patients. This review attempts to investigate the possible relation between the gene expression pattern that is produced through TMPRSS2-ERG fusion positive prostate cancer and the possible influence of these fluctuations on the pathogenesis and development of viral infections such as SARS-CoV-2., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Identifying genetic diversity is important for studies in cancer as it can provide insights on disease progression and treatment. Although clinical outcome and major symptom of cancer might be same in all patients, the type of overexpressed gene could be different. Even though prostate-specific antigen assay is a good tool widely used for prostate cancer diagnosis, it is not capable of providing information on genetic differences. Therefore, screening method that can differentiate genetic differences is necessary. Here we detected different types of TMPRSS2-ERG, prostate cancer specific fusion genes, to verify the genetic diversity between the patients using high throughput screening method, bio-barcode assay. Prostate cancer patients with different types of fusion gene were successfully differentiated directly from untreated patients' urine, while traditional PSA assay could not. This non-invasive assay, when used with PSA assay, can be a strong secondary screening method which can offer new insights on disease progression and clinical outcome., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

TMPRSS2-ERG rearrangement is a genetic alteration exclusive to prostate cancer, associated with taxane resistance in preclinical models. Its detection in blood samples of metastatic resistant prostate cancer (mCRPC) patients may indicate the presence of circulating tumour cells with this genetic alteration and may predict taxane resistance. To test this hypothesis, we evaluated TMPRSS2-ERG expression using quantitative reverse transcription polymerase chain reaction in peripheral blood mononuclear cells and tumour tissue from mCPRC patients treated with taxanes. We examined peripheral blood mononuclear cells from 24 healthy controls, 50 patients treated with docetaxel, and 22 with cabazitaxel. TMPRSS2-ERG was detected in 0%, 16%, and 22.7% of them, respectively. In docetaxel-treated patients TMPRSS2-ERG detection correlated with lower prostatic-specific antigen (PSA) response rate (12.5% vs 68.3%, p=0.005), PSA-progression-free survival (PFS; 3.1 mo vs 7.5 mo, p<0.001), clinical/radiological-PFS (3.1 mo vs 8.2 mo, p<0.001), and it was independently associated with PSA-PFS (hazard ratio 3.7; p=0.009) and clinical/radiological-PFS (hazard ratio 6.3; p<0.001). Moreover, TMPRSS2-ERG also predicted low PSA-PFS to cabazitaxel. At progression, a switch from negative to positive TMPRSS2-ERG was observed in 41% of patients with undetected TMPRSS2-ERG at the baseline sample. Tissue TMPRSS2-ERG expression correlated with lower PSA-PFS (p=0.02) to docetaxel. Our findings support the potential role of TMPRSS2-ERG detection as a biomarker to tailor treatment strategies., Patient Summary: Taxanes are the most active chemotherapy agents in metastatic resistant prostate cancer. However, not all patients respond to this therapy. In the present study we show that the detection of TMPRSS2-ERG in blood from metastatic resistant prostate cancer patients predicts resistance to docetaxel and it may be useful to select treatment and to avoid possible toxicities in refractory patients., (Copyright © 2016 European Association of Urology. Published by Elsevier B.V. All rights reserved.)

Background: Compelling biomarkers identifying prostate cancer patients with a high risk of progression during active surveillance (AS) are needed., Objective: To examine the association between ERG expression at diagnosis and the risk of progression during AS., Design, Setting, and Participants: This study included 265 patients followed on AS with prostate-specific antigen (PSA) measurements, clinical examinations, and 10-12 core rebiopsies from 2002 to 2012 in a prospectively maintained database. ERG immunohistochemical staining was performed on diagnostic paraffin-embedded formalin-fixed sections with a ready-to-use kit (anti-ERG, EPR3864). Men were characterised as ERG positive if a minimum of one tumour focus demonstrated ERG expression., Outcome Measurements and Statistical Analysis: Overall AS progression was defined as clinical progression: increased clinical tumour category ≥cT2b by digital rectal examination and ultrasound, and/or histopathologic progression: upgrade of Gleason score, more than three positive cores or bilateral positive cores, and/or PSA progression: PSA doubling time <3 yr. Risk of progression was analysed using multiple cause-specific Cox regression and stratified cumulative incidences (Aalen-Johansen method). Curatively intended treatment, watchful waiting, and death without progression were treated as competing events., Results and Limitations: A total of 121 of 142 ERG-negative and 96 of 123 ERG-positive patients had complete diagnostic information. In competing risk models, the ERG-positive group showed significantly higher incidences of overall AS progression (p<0.0001) and of the subgroups PSA progression (p<0.0001) and histopathologic progression (p<0.0001). The 2-yr cumulative incidence of overall AS progression was 21.7% (95% confidence interval [CI], 14.3-29.1) in the ERG-negative group compared with 58.6% (95% CI, 48.7-68.5) in the ERG-positive group. ERG positivity was a significant predictor of overall AS progression in multiple Cox regression (hazard ratio: 2.45; 95% CI, 1.62-3.72; p<0.0001). The main limitation of this study is its observational nature., Conclusions: In our study, ERG positivity at diagnosis can be used to estimate the risk of progression during AS. If confirmed, ERG status can be used to individualise AS programmes., Patient Summary: The tissue biomarker ERG identifies active surveillance patients with an increased risk of disease progression., (Copyright © 2014 European Association of Urology. Published by Elsevier B.V. All rights reserved.)

In the era of upcoming techniques for molecular profiling, breakthroughs led to new discoveries in the field of prostate cancer (PCa) biomarkers. Since the early 1990s a tremendous increase in PCa incidence is seen, dedicated to the introduction of prostate specific antigen (PSA) testing. However, due to its lack of specificity many men undergo unnecessary biopsies, resulting in a rising incidence of clinically insignificant PCa. To overcome this drawback, cancer specific biomarkers are needed to identify patients who are at high risk of harbouring PCa and to distinguish patients with aggressive disease from patients with insignificant cancer. The most non-invasive, easy to obtain substrate for biomarker measurement is urine. The most promising markers to date are PCA3 and TMPRSS2-ERG. Both markers demonstrate to have a higher specificity and diagnostic accuracy for PCa outcome compared to serum PSA. This might better predict the presence of PCa and therefore reduce the number of unnecessary biopsies. Combining both markers in a panel might result in an even higher diagnostic accuracy, given the heterogeneity of the disease. In PCa management, circulating tumour cells (CTCs) detected in the blood seem a promising tool to predict treatment response and survival benefit. Although results appear to be encouraging, the biggest challenge about new markers in PCa is to validate them in large clinical trials and subsequently implement these markers into clinical practice. In this review we discuss the clinical usefulness of novel, non-invasive tests in PCa management., (© 2013.)

Background: Prostate cancer antigen 3 (PCA3) and v-ets erythroblastosis virus E26 oncogene homolog (TMPRSS2-ERG) gene fusions are promising prostate cancer (PCa) specific biomarkers that can be measured in urine., Objective: To evaluate the diagnostic and prognostic value of Progensa PCA3 and TMPRSS2-ERG gene fusions (as individual biomarkers and as a panel) for PCa in a prospective multicentre setting., Design, Setting, and Participants: At six centres, post-digital rectal examination first-catch urine specimens prior to prostate biopsies were prospectively collected from 497 men. We assessed the predictive value of Progensa PCA3 and TMPRSS2-ERG (quantitative nucleic acid amplification assay to detect TMPRSS2-ERG messenger RNA [mRNA]) for PCa, Gleason score, clinical tumour stage, and PCa significance (individually and as a marker panel). This was compared with serum prostate-specific antigen and the European Randomised Study of Screening for Prostate Cancer (ERSPC) risk calculator. In a subgroup (n=61) we evaluated biomarker association with prostatectomy outcome., Outcome Measurements and Statistical Analysis: Univariate and multivariate logistic regression analysis and receiver operating curves were used., Results and Limitations: Urine samples of 443 men contained sufficient mRNA for marker analysis. PCa was diagnosed in 196 of 443 men. Both PCA3 and TMPRSS2-ERG had significant additional predictive value to the ERSPC risk calculator parameters in multivariate analysis (p<0.001 and resp. p=0.002). The area under the curve (AUC) increased from 0.799 (ERSPC risk calculator), to 0.833 (ERSPC risk calculator plus PCA3), to 0.842 (ERSPC risk calculator plus PCA3 plus TMPRSS2-ERG) to predict PCa. Sensitivity of PCA3 increased from 68% to 76% when combined with TMPRSS2-ERG. TMPRSS2-ERG added significant predictive value to the ERSPC risk calculator to predict biopsy Gleason score (p<0.001) and clinical tumour stage (p=0.023), whereas PCA3 did not., Conclusions: TMPRSS2-ERG had independent additional predictive value to PCA3 and the ERSPC risk calculator parameters for predicting PCa. TMPRSS2-ERG had prognostic value, whereas PCA3 did not. Implementing the novel urinary biomarker panel PCA3 and TMPRSS2-ERG into clinical practice would lead to a considerable reduction of the number of prostate biopsies., (Copyright © 2012 European Association of Urology. Published by Elsevier B.V. All rights reserved.)

Background: The molecular basis of the clinical heterogeneity of prostate cancer (PCa) is not well understood., Objective: The purpose of our study was to identify and characterize genes in a clinically relevant gene expression signature in a subgroup of primary PCa positive for transmembrane protease, serine 2 (TMPRSS2)-v-ets erythroblastosis virus E26 oncogene homolog (avian) (ERG)., Design, Setting, and Participants: We studied gene expression profiles by unsupervised hierarchical clustering in 48 primary PCas from patients with a long clinical follow-up. Results were correlated with clinical outcome and validated in an independent patient cohort. Selected genes from a defined classifier were tested in vitro for biologic properties., Intervention: Initial treatment of primary tumors was radical prostatectomy., Outcome Measurements and Statistical Analysis: Associations between clinical and histopathologic variables were evaluated by the Pearson χ(2) test, Mann-Whitney U test, or Kruskal-Wallis test, where appropriate. The log-rank test or Breslow method was used for statistical analysis of Kaplan-Meier survival curves., Results and Limitations: Most tumors that overexpressed ERG clustered separately from other primary PCas. No differences in any clinical end points between ERG-positive and ERG-negative cancers were detected. Importantly, within the ERG-positive samples, two subgroups were identified, which differed significantly in prostate-specific antigen recurrence-free survival, and cancer-specific and overall survival. From our findings, we defined a gene expression classifier of 36 genes. In a second, completely independent tumor set, the classifier also distinguished ERG-positive subgroups with different clinical outcome. In both patient cohorts, the classifier was not predictive in ERG-negative tumors. Biologic processes regulated by genes in the classifier included cell adhesion and bone remodeling. Tumor growth factor-β signaling was indicated as the main differing signaling pathway between the two ERG subgroups. In vitro biologic assays of two selected genes from the classifier (inhibin, beta A [INHBA] and cadherin 11, type 2, OB-cadherin (osteoblast) [CDH11]) supported a functional role in PCa progression. Possible multifocality and limited number of PCa samples can be limitations of the study., Conclusions: The classifier identified can contribute to prediction of tumor progression in ERG-positive primary prostate tumors and might be instrumental in therapy decisions., (Copyright © 2013 European Association of Urology. Published by Elsevier B.V. All rights reserved.)

Objectives: To interrogate multifocal prostate cancer (PCa) to determine its predilection for metastasis, using ERG rearrangement as marker of clonality. A hallmark of PCa is that distinct tumor foci may arise independently, which has important biological and clinical implications. Recent studies characterizing ERG-rearranged PCa possessing intrafocal homogeneity but interfocal heterogeneity support this hypothesis., Methods: We studied 26 patients who underwent prostatectomy and lymphadenectomy with at least 2 distinct PCa foci and 1 lymph node (LN) metastasis. Each focus was assessed for size, Gleason score, ERG rearrangement, and TMPRSS2-ERG transcript., Results: Fifteen of 26 cases exhibited interfocal homogeneity with regard to ERG rearrangement (ie, presence vs absence of ERG rearrangement). ERG rearrangement was present in all foci for 6 and absent in all foci for 9 cases. Two cases revealed interfocal heterogeneity with regard to rearrangement mechanism (ie, rearrangement through insertion or deletion). Eight of 26 cases revealed interfocal heterogeneity with regard to rearrangement status. In all cases with at least 1 ERG rearranged focus, we found the corresponding LN metastasis harboring an ERG rearrangement. Interestingly, in a subset of cases the rearrangement status in the LN did not correspond to size or Gleason score. All but 2 ERG rearranged foci had detectable TMPRSS2-ERG transcript levels., Conclusions: When multifocal PCa demonstrates both ERG-positive and ERG-negative foci, the positive foci have a greater predilection for metastasis. Larger studies are needed to confirm the potential additional risk an ERG rearranged focus confers on the likelihood of disease progression., (Copyright 2010 Elsevier Inc. All rights reserved.)