Skip to main content
Cancers logoLink to Cancers
. 2010 Jul 6;2(3):1432–1440. doi: 10.3390/cancers2031432

PCA3 and TMPRSS2-ERG: Promising Biomarkers in Prostate Cancer Diagnosis

Maciej Salagierski 1,2, Jack A Schalken 1,*
PMCID: PMC3837315  PMID: 24281166

Abstract

The search for the biomarkers to precisely and non-invasively characterize the biology of prostate cancer (PCa) is the focus of many laboratories across the world. Although prostate-specific antigen (PSA) remains the standard diagnostic tool for PCa, its low specificity leads to unnecessary biopsies in a substantial number of patients. More importantly, with the current status of knowledge, it is very difficult to early identify individuals with a life-threatening disease who require an immediate treatment. The significant advances in genetics and biotechnology in recent years has led to the discovery of new molecular markers including PCA3 and the TMPRSS2:ERG genomic fusion. Both PCA3 and TMPRSS2:ERG, compared to PSA, show an increased specificity in PCa detection. However, the quest for a single PCa marker that can fully satisfy urologists and their patients is still ongoing. The aim of this review is to present the recent findings on PCA3 and TMPRSS2:ERG and to describe their clinical implications and performance.

Keywords: prostate cancer, diagnosis, molecular, marker, PCA3, TMPRSS2:ERG

1. Introduction

Prostate cancer (PCa) constitutes the most common cancer in men with a steadily rising incidence affecting on average one in six men during their lifetime [1]. The increase in morbidity is related to the increasing overall life expectancy, more frequent prostate-specific antigen (PSA) testing and larger number of men undergoing biopsy. Unfortunately, currently used diagnostic tools are rarely able to determine the progression of PCa or to predict its clinical outcome. As a consequence, it is not only difficult to identify a life-threatening early stage disease requiring rapid radical treatment, but also large numbers of patients with indolent tumors are over-treated, i.e., receiving unnecessary inadequate and costly therapies that do not result in a survival benefit. The significance of prostate-specific antigen (PSA) by itself as a standard diagnostic tool in PCa has been recently frequently questioned due to its diagnostic limitations, mainly its low positive predictive value (PPV). A PPV of PSA within its ‘gray zone’ between 4.0 and 10.0 ng/mL, ranges from 25 to 40%, resulting in an elevated, up to 75%, negative biopsy rate [2]. Repetition of the first negative biopsy, although strongly recommended in cases of PSA elevation, does also not perform well. Therefore, there is an urgent need for the development and implementation of new markers with improved specificity in PCa detection, both being able to identify patients with an early aggressive or clinically significant disease and to determine its prognosis.

Markers research has been the focus of many laboratories across the world. Within the last decade, due to a significant advance in genetics and cell biology, new emerging molecular markers have been widely investigated [3]. Their appearance has been the natural consequence of recently described genetic changes in PCa including gene fusions and messenger RNA (mRNA) alterations. Several worth reporting biomarkers have been identified and a great amount of work has been done so far in an effort to develop new assays based on the recent findings. The only marker that has been introduced into clinic remains Prostate Cancer Gene 3 (PCA3). A very promising and highly prostate cancer specific marker is the fusion transcript TMPRSS2:ERG. However, the heterogeneity of the disease among the affected individuals, multifocality and marked variability in the progression of PCa makes implementation of new biomarkers complex. Our objective is to present recent findings on the application of PCA3 and TMPRSS2:ERG in prostate cancer diagnosis and management. The clinical implications and performance of biomarkers will be also reviewed.

2. PCA3

2.1. Structure and Specificity

PCA3 is a non-coding RNA and the most specific clinically available prostate malignancy marker described so far: PCA3 RNA expression is restricted to prostate, i.e., it is not expressed in any other normal human tissue nor in any other tumor [6,7]. The presence of PCA3 RNA was firstly reported by Bussemakers et al. in 1999. The gene encoding PCA3 is located on chromosome 9q21–22 and consists of four exons [4]. The most frequent transcript contains exons 1, 3, 4a and 4b. Since its discovery, the structure of PCA3 has been widely investigated, and most recently four new transcription start sites as well as two additional exon 2 sequences and four additional polyadenylation sites have been described [5]. The PCA3 RNA is highly overexpressed in 95% of tumors compared to normal or benign hyperplastic prostate tissue. Hessels et al. reported a median 66-fold upregulation of PCA3 in PCa tissue compared with normal prostate tissue. In addition, an average 11-fold upregulation was revealed in prostate tissue specimens containing less than 10% of PCa cells [6]. Several years following PCA3 identification, an assay that detects PCA3 in urine has been developed.

2.2. PCA3 Assay and PCA3 Score

Apart from being highly sensitive and specific, a biomarker should be easily detectable with non-invasive methods, e.g., using blood or urine samples. As cancerous cells with high levels of PCA3 are shed from the prostate into the urine, the levels of PCA3 RNA can be measured not only in prostate tissue specimens but also in urine and the urinary sediments after prostatic massage. The collection of 20–30 mL of voided urine after a digital rectal examination (DRE) (three strikes per prostate lobe) is required to perform the test. The only assay available commercially- APTIMA PCA3 test (Gen-Probe Incorporated, San Diego, CA, USA) quantitatively detects the expression of PCA3 RNA in urine and prostatic fluids using transcription-mediated amplification [7]. In order to assess the probability of PCa detection on prostate biopsy, the quantitative PCA3 score was developed. The PCA3 score is defined as PCA3-RNA/PSA-mRNA ratio, meaning that PCA3 expression is normalized with the PSA expression used as a housekeeping gene.

2.3. PCA3 Score for Biopsy Making Decisions

The PCA3 score correlates with the likelihood of positive biopsy and by that means helps clinicians in biopsy making decisions. The higher the PCA3 score the greater the probability of a positive biopsy. Deras et al. reported a 14% positive biopsy rate for men with a PCA3 score <5 versus almost 70% positive biopsy rate for PCA3 scores over 100 [8]. As the PCA3 score of 35 yielded the greatest diagnostic utility, demonstrating the optimal balance between specificity and sensitivity, it has been adopted as a cut-off score. The average sensitivity and specificity of the PCA3 urine test is relatively high—66% and 76%, respectively (vs. 47 % specificity for serum PSA level) [9]. Haese et al., on a group of 463 patients, showed that men with a PCA3 score over 35 have a 39% chance of a positive repeat biopsy compared to 22% likelihood in men with a PCA3 score lower than 35 [10]. This study confirmed that the PCA3 score is significantly higher in men with a positive biopsy (median value of 33.7) than in men with a negative biopsy (median value of 19.5). Moreover, the negative predictive value of the test is very high, reaching—depending on a PCA3 cut-off value—90%. The authors reported that when using a threshold PCA3 score of 20 in their group, a 44% reduction of repeat biopsy could be achieved while missing only 9% of clinically significant cancers (Gleason score ≥ 7).

2.4. PCA3—A Correlation with Gleason Score and Pathological Findings

As the results of different studies are conflicting, the questionable aspect of PCA3 score remains its ability to assess PCa aggressiveness or its clinical behavior. The discrepancies between studies are most probably related to cohort differences, different end points, etc.

In one of the recently published papers, Hessels et al. did not reveal significant association between PCA3 score in urinary sediments after DRE (see PCA3 assay) and any of PCa prognostic parameters including Gleason grade, tumor volume and tumor stage [11]. Those results are in agreement with the previous study of van Gils et al. [12]. Likewise, no correlation was found between PCA3 expression in PCa tissue and Gleason score [13]. Conversely, Nakanishi et al. have described a relationship between the preoperative PCA3 score and radical prostatectomy specimen’s tumor volume. The average PCA3 score was statistically lower in low volume (less than 0.5 cc) tumors. This study also showed that increasing PCA3 score was associated with a higher Gleason score [14]. Marks et al. supported the findings of Nakanishi et al. demonstrating the presence of a higher PCA3 score in men with a Gleason score ≥ 7 [15]. Importantly, Whitman et al. observed that PCA3 detected in the post-DRE urine of patients with PCa correlated with pathological findings, i.e., extracapsular extension and tumor volume [16].

2.5. Clinical Implications of PCA3 Score

Advantageously for diagnostic purposes, unlike PSA concentration, PCA3 score is independent of prostate volume, the number of prior biopsies and unaffected by patients’ age. Most importantly, the test is not influenced by principal causes of non-cancerous PSA elevations, i.e., benign prostatic hyperplasia (BPH) and prostatitis. Thus, the PCA3 assay, being more specific than serum PSA, appears extremely useful for detecting the presence of PCa in men with frequently observed alternative causes of PSA elevation, including inflammation of the gland and increase of its size. Conversely, in patients with normal or low (<4 ng/mL) PSA values, PCA3 could constitute a valuable tool in PCa diagnosis, enabling detection of clinically relevant tumors. It appears that PCA3 expression is unaffected by the pharmacotherapy of the gland including the application of type I and II 5-α reductase inhibitors. Further, PCA3 seems very helpful for establishing treatment decisions in PCa patients undergoing active surveillance by helping clinicians to select individuals requiring rapid treatment, e.g., demanding prompt surgery or radiotherapy.

In addition, PCA3 test allows detection of the precancerous lesion known in PCa as high grade prostatic intraepithelial neoplasia (HGPIN). Popa et al. demonstrated that over 90% of HGPIN tissue expressed PCA3 [17]. Another study by Haese et al. demonstrated that PCA3 score in HGPIN patients was 16% higher than in tissue of men without this lesion [10]. As a consequence, the PCA3 test might be helpful in monitoring patients with the presence of HGPIN, i.e., an increase in PCA3 score would trigger biopsy decision. Thus, clinical application of the PCA3 assay appears much broader than only testing men with an elevated PSA and a negative biopsy.

3. TMPRSS2: ERG

3.1. Mechanism of the Fusion

Genetic alterations are considered as initial events in oncogenesis occurring in almost all human malignancies [18]. Although gene rearrangements are frequent in hematologic malignancies, they have rarely been reported in solid tumors, which account for more than 80% of cancer-related deaths [1]. The discovery of imatinib (Gleevec)—the drug targeting the kinase domain of the BCR-ABL fusion (BCR gene from chromosome 9 and ABL gene of chromosome 22) has revolutionized the management of chronic myeloid leukemia by significantly improving patient’s survival. Therefore, the identification of new cancer specific fusion products might constitute a cornerstone for the implementation of targeted drug therapy not only limited to blood malignancies. In the near future, targeting gene rearrangements might become an important innovative approach in solid tumors management.

In recent studies gene rearrangements involving androgen regulated gene TMPRSS2 (trans-membrane protease, serine 2) and ETS transcription factor genes (ERG, ETV1, ETV4 and ETV5) have been identified in PCa patients. Importantly, ERG is currently considered as a key oncogene in PCa [19]. TMPRSS2:ERG fusion constitutes the most common variant, occurring in approximately 50% of PCa patients. Both fusion partners map to chromosome 21; TMPRSS2 at 21q22.3 and ERG at 21q22.2. The predominant mechanism for gene fusion is the loss of 2.8 Mb of genomic DNA between TMPRSS2 and ERG [20]. Considering the high prevalence of PCa, TMPRSS2:ERG fusion is the most common genetic aberration described so far in human malignancies [21]. Interestingly, the gene rearrangement occurs almost exclusively (in 95% of cases) in patients with marked overexpression of ERG.

3.2. Clinical Implications of TMPRSS2: ERG

TMPRSS2:ERG rearrangement can be, similarly to the PCA3 gene, detected in urine after DRE [22]. The detection of TMPRSS2:ERG fusion in urine as described by Hessels et al. has an over 90% specificity and 94% positive predictive value for PCa detection [22]. Given the high specificity of the test, fusion status in ERG positive men may soon serve in the clinic as a viable biomarker for establishing the presence or absence of PCa [21]. The TMPRSS2:ERG fusion product can be found in 20% of prostatic intraepithelial neoplasia (PIN) adjacent to fusion positive cancer tissue but not in benign prostate tissue specimens or proliferative inflammatory atrophy (PIA) [23].

The data on the association between TMPRSS2:ERG fusions and patients outcome remain conflicting. Several studies suggest that TMPRSS2:ERG fusion prostate cancer contribute to a more aggressive cancer phenotype, which is associated with higher tumor stage and prostate cancer-specific death [24,25]. Demichelis et al., in the group of 252 patients under active surveillance for T1a-b, Nx, M0 tumors with a median follow-up of 9.1 years, demonstrated that the fusion transcript was associated with metastases and lethal prostate cancer [19]. The fusion-positive tumors had also significantly higher Gleason scores. However, in the mentioned study, the TMPRSS2:ERG fusion product was identified only in 15% of PCa patients, which is much less than found by other authors. Conversely, the recently published study by Gopalan and his colleagues [26] showed no correlation between TMPRSS2:ERG rearrangement and outcome in patients treated with radical prostatectomy. In this study, the clinical association between the presence of fusion transcript and outcome was analyzed on a large group of 521 PCa patients. The presence of the fusion product was even associated with lower PCa stage. Interestingly enough, the aggressive tumor behavior, i.e., metastatic disease, was associated with a copy number increase of TMPRSS2:ERG loci on chromosome 21. In the most recently published study, Rubio and colleagues reported no association between fusion gene status and prostate cancer clinicopathological characteristics. Although the presence of the TMPRSS2:ERG translocation was not related to biochemical or clinical progression, the authors were able to identify two groups of patients with different prognosis of PCa based on the presence or absence of the fusion [27]. Importantly, Clark et al. demonstrated that the best diagnostic performance in predicting prostate biopsy outcome might be achieved by combining TMPRSS2:ERG with PSA and DRE [28].

3.3. Combination of PCA3 with TMPRSS2: ERG

Currently, we are still unable to discriminate between clinically important and indolent prostate malignancies, e.g., a low PCA3 score does not exclude a clinically significant tumor. Therefore, some authors are trying to evaluate whether the specificity and sensitivity of PCa detection could increase by combining novel molecular biomarkers. Hessels et al. analyzed the urinary sediments of 108 men for the presence of both PCA3 and TMPRSS2:ERG products, and showed that by combining two assays the sensitivity of PCa detection markedly increases (from 63% for PCA3 alone to 73% for both tests) without compromising the specificity [22]. By that means, the very satisfying diagnostic performance of PCa detection was achieved. Similar findings were reported by Laxman et al., who by incorporating four urine biomarkers, including PCA3 and TMPRSS2:ERG, achieved a 65.9% specificity and 76.0% sensitivity in PCa detection. This quantitative multiplex biomarker study also outperformed PCA3 alone in the detection of PCa [29]. Petrovics et al. demonstrated a very promising gene panel for PCa diagnosis by investigating a marker panel composed of ERG, PCA3 and the alpha-methylacyl-CoA racemase (AMACR). The study showed that at least one of the three genes included in the panel was overexpressed in almost all examined PCa specimens (54 of 55) [30]. This kind of innovative approach for the development of a urine multiplex test may be an important and necessary step (considering the heterogeneity of PCa) in creating a marker panel with a very high accuracy in PCa detection and in predicting prognosis of the disease [31].

4. Conclusions

Taken together, PSA testing revolutionized the management of PCa in the last century. However, considering the well-known limitation of PSA in cancer detection, especially its low specificity, the development of new markers are necessary. With the current status of knowledge, PCA3 assay might be a useful tool for biopsy making decisions to helps urologists avoid unnecessary biopsies, as well as serving as a very good test for screening patients with unspecific causes of PSA elevations. Despite very promising data, further investigations and prospective clinical trials are required mainly to assess prognostic performance of PCA3 score. The presence of positive prostate biopsy findings despite the negative PCA3 result (low PCA3 score does not exclude PCa) [10] doesn’t support PCA3 assay as sufficient for PCa management. The combination of PCA3 and TMPRSS2:ERG assays by significantly improving diagnostic performance might become extremely helpful in therapeutic decisions. Further, new emerging molecular markers might soon lead to both a decrease in patients morbidity related to current PCa therapies and to the reduction of the cost of PCa management.

Acknowledgements

Maciej Salagierski was awarded a European Urological Scholarship Programme grant: S-02-2008 from the European Association of Urology for performing the project: New targets for molecular diagnostic of Prostate Cancer in the Department of Urology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.

References

  • 1.Jemal A., Siegel R., Ward E., Hao Y., Xu J., Murray T., Thun M.J. Cancer statistics, 2008. CA Cancer J. Clin. 2008;58:71–96. doi: 10.3322/CA.2007.0010. [DOI] [PubMed] [Google Scholar]
  • 2.Roobol M.J., Zappa M., Maattanen L., Ciatto S. The value of different screening tests in predicting prostate biopsy outcome in screening for prostate cancer data from a multicenter study (ERSPC) Prostate. 2007;67:439–446. doi: 10.1002/pros.20545. [DOI] [PubMed] [Google Scholar]
  • 3.Parekh D.J., Ankerst D.P., Troyer D., Srivastava S., Thompson I.M. Biomarkers for prostate cancer detection. J. Urol. 2007;178:2252–2259. doi: 10.1016/j.juro.2007.08.055. [DOI] [PubMed] [Google Scholar]
  • 4.Bussemakers M.J., van Bokhoven A., Verhaegh G.W., Smit F.P., Karthaus H.F., Schalken J.A., Debruyne F.M., Ru N., Isaacs W.B. DD3: a new prostate-specific gene, highly overexpressed in prostate cancer. Cancer Res. 1999;59:5975–5979. [PubMed] [Google Scholar]
  • 5.Clarke R.A., Zhao Z., Guo A.Y., Roper K., Teng L., Fang Z.M., Samaratunga H., Lavin M.F., Gardiner R.A. New genomic structure for prostate cancer specific gene PCA3 within BMCC1: implications for prostate cancer detection and progression. PLoS ONE. 2009;4:e4995. doi: 10.1371/journal.pone.0004995. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Hessels D., Klein Gunnewiek J.M., van Oort I., Karthaus H.F., van Leenders G.J., van Balken B., Kiemeney L.A., Witjes J.A., Schalken J.A. DD3(PCA3)-based molecular urine analysis for the diagnosis of prostate cancer. Eur. Urol. 2003;44:8–15. doi: 10.1016/S0302-2838(03)00201-X. [DOI] [PubMed] [Google Scholar]
  • 7.Schalken J.A., Hessels D., Verhaegh G. New targets for therapy in prostate cancer: differential display code 3 (DD3(PCA3)), a highly prostate cancer-specific gene. Urology. 2003;62:34–43. doi: 10.1016/S0090-4295(03)00759-3. [DOI] [PubMed] [Google Scholar]
  • 8.Deras I.L., Aubin S.M., Blase A., Day J.R., Koo S., Partin A.W., Ellis W.J., Marks L.S., Fradet Y., Rittenhouse H., Groskopf J. PCA3: a molecular urine assay for predicting prostate biopsy outcome. J. Urol. 2008;179:1587–1592. doi: 10.1016/j.juro.2007.11.038. [DOI] [PubMed] [Google Scholar]
  • 9.van Gils M.P., Hessels D., van Hooij O., Jannink S.A., Peelen W.P., Hanssen S.L., Witjes J.A., Cornel E.B., Karthaus H.F., Smits G.A., Dijkman G.A., Mulders P.F., Schalken J.A. The time-resolved fluorescence-based PCA3 test on urinary sediments after digital rectal examination; a Dutch multicenter validation of the diagnostic performance. Clin. Cancer Res. 2007;13:939–943. doi: 10.1158/1078-0432.CCR-06-2679. [DOI] [PubMed] [Google Scholar]
  • 10.Haese A., de la Taille A., van Poppel H., Marberger M., Stenzl A., Mulders P.F., Huland H., Abbou C.C., Remzi M., Tinzl M., Feyerabend S., Stillebroer A.B., van Gils M.P., Schalken J.A. Clinical utility of the PCA3 urine assay in European men scheduled for repeat biopsy. Eur. Urol. 2008;54:1081–1088. doi: 10.1016/j.eururo.2008.06.071. [DOI] [PubMed] [Google Scholar]
  • 11.Hessels D., van Gils M.P., van Hooij O., Jannink S.A., Witjes J.A., Verhaegh G.W., Schalken J.A. Predictive value of PCA3 in urinary sediments in determining clinico-pathological characteristics of prostate cancer. Prostate. 2010;70:10–16. doi: 10.1002/pros.21032. [DOI] [PubMed] [Google Scholar]
  • 12.van Gils M.P., Hessels D., Hulsbergen-van de Kaa C.A., Witjes J.A., Jansen C.F., Mulders P.F., Rittenhouse H.G., Schalken J.A. Detailed analysis of histopathological parameters in radical prostatectomy specimens and PCA3 urine test results. Prostate. 2008;68:1215–1222. doi: 10.1002/pros.20781. [DOI] [PubMed] [Google Scholar]
  • 13.Salagierski M., Verhaegh G.W., Jannink S.A., Smit F.P., Hessels D., Schalken J.A. Differential expression of PCA3 and its overlapping PRUNE2 transcript in prostate cancer. Prostate. 2010;70:70–78. doi: 10.1002/pros.21040. [DOI] [PubMed] [Google Scholar]
  • 14.Nakanishi H., Groskopf J., Fritsche H.A., Bhadkamkar V., Blase A., Kumar S.V., Davis J.W., Troncoso P., Rittenhouse H., Babaian R.J. PCA3 molecular urine assay correlates with prostate cancer tumor volume: implication in selecting candidates for active surveillance. J. Urol. 2008;179:1804–1809. doi: 10.1016/j.juro.2008.01.013. [DOI] [PubMed] [Google Scholar]
  • 15.Marks L.S., Fradet Y., Deras I.L., Blase A., Mathis J., Aubin S.M., Cancio A.T., Desaulniers M., Ellis W.J., Rittenhouse H., Groskopf J. PCA3 molecular urine assay for prostate cancer in men undergoing repeat biopsy. Urology. 2007;69:532–535. doi: 10.1016/j.urology.2006.12.014. [DOI] [PubMed] [Google Scholar]
  • 16.Whitman E.J., Groskopf J., Ali A., Chen Y., Blase A., Furusato B., Petrovics G., Ibrahim M., Elsamanoudi S., Cullen J. PCA3 score before radical prostatectomy predicts extracapsular extension and tumor volume. J. Urol. 2008;180:1975–1978. doi: 10.1016/j.juro.2008.07.060. [DOI] [PubMed] [Google Scholar]
  • 17.Popa I., Fradet Y., Beaudry G., Hovington H., Beaudry G., Tetu B. Identification of PCA3 (DD3) in prostatic carcinoma by in situ hybridization. Mod. Pathol. 2007;20:1121–1127. doi: 10.1038/modpathol.3800963. [DOI] [PubMed] [Google Scholar]
  • 18.Mitelman F., Johansson B., Mertens F. The impact of translocations and gene fusions on cancer causation. Nat. Rev. Cancer. 2007;7:233–245. doi: 10.1038/nrc2091. [DOI] [PubMed] [Google Scholar]
  • 19.Demichelis F., Fall K., Perner S., Andren O., Schmidt F., Setlur S.R., Hoshida Y., Mosquera J.M., Pawitan Y., Lee C., Adami H.O., Mucci L.A., Kantoff P.W., Andersson S.O., Chinnaiyan A.M., Johansson J.E., Rubin M.A. TMPRSS2:ERG gene fusion associated with lethal prostate cancer in a watchful waiting cohort. Oncogene. 2007;26:4596–4599. doi: 10.1038/sj.onc.1210237. [DOI] [PubMed] [Google Scholar]
  • 20.Perner S., Demichelis F., Beroukhim R., Schmidt F.H., Mosquera J.M., Setlur S., Tchinda J., Tomlins S.A., Hofer M.D., Pienta K.G., Kuefer R., Vessella R., Sun X.W., Meyerson M., Lee C., Sellers W.R., Chinnaiyan A.M., Rubin M.A. TMPRSS2:ERG fusion-associated deletions provide insight into the heterogeneity of prostate cancer. Cancer Res. 2006;66:8337–8341. doi: 10.1158/0008-5472.CAN-06-1482. [DOI] [PubMed] [Google Scholar]
  • 21.Perner S., Mosquera J.M., Demichelis F., Hofer M.D., Paris P.L., Simko J., Collins C., Bismar T.A., Chinnaiyan A.M., De Marzo A.M., Rubin M.A. TMPRSS2-ERG fusion prostate cancer: an early molecular event associated with invasion. Am. J. Surg. Pathol. 2007;31:882–888. doi: 10.1097/01.pas.0000213424.38503.aa. [DOI] [PubMed] [Google Scholar]
  • 22.Hessels D., Smit F.P., Verhaegh G.W., Witjes J.A., Cornel E.B., Schalken J.A. Detection of TMPRSS2-ERG fusion transcripts and prostate cancer antigen 3 in urinary sediments may improve diagnosis of prostate cancer. Clin. Cancer Res. 2007;13:5103–5108. doi: 10.1158/1078-0432.CCR-07-0700. [DOI] [PubMed] [Google Scholar]
  • 23.Morris D.S., Tomlins S.A., Montie J.E., Chinnaiyan A.M. The discovery and application of gene fusions in prostate cancer. BJU Int. 2008;102:276–282. doi: 10.1111/j.1464-410X.2008.07665.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Barry M., Perner S., Demichelis F., Rubin M.A. TMPRSS2-ERG fusion heterogeneity in multifocal prostate cancer: clinical and biologic implications. Urology. 2007;70:630–633. doi: 10.1016/j.urology.2007.08.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Demichelis F., Fall K., Perner S., Andren O., Schmidt F., Setlur S.R., Hoshida Y., Mosquera J.M., Pawitan Y., Lee C., Adami H.O., Mucci L.A., Kantoff P.W., Andersson S.O., Chinnaiyan A.M., Johansson J.E., Rubin M.A. TMPRSS2:ERG gene fusion associated with lethal prostate cancer in a watchful waiting cohort. Urol. Oncol. 2007;25:448–449. doi: 10.1038/sj.onc.1210237. [DOI] [PubMed] [Google Scholar]
  • 26.Gopalan A., Leversha M.A., Satagopan J.M., Zhou Q., Al-Ahmadie H.A., Fine S.W., Eastham J.A., Scardino P.T., Scher H.I., Tickoo S.K., Reuter V.E., Gerald W.L. TMPRSS2-ERG Gene Fusion Is Not Associated with Outcome in Patients Treated by Prostatectomy. Cancer Res. 2009;69:1400–1406. doi: 10.1158/0008-5472.CAN-08-2467. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Rubio-Briones J., Fernández-Serra A., Calatrava A., García-Casado Z., Rubio L., Bonillo M.A., Iborra I., Solsona E., López-Guerrero J.A. Clinical implications of TMPRSS2-ERG gene fusion expression in patients with prostate cancer treated with radical prostatectomy. J. Urol. 2010;183:2054–2061. doi: 10.1016/j.juro.2009.12.096. [DOI] [PubMed] [Google Scholar]
  • 28.Clark J.P., Munson K.W., Gu J.W., Lamparska-Kupsik K., Chan K.G., Yoshida J.S., Kawachi M.H., Crocitto L.E., Wilson T.G., Feng Z. Performance of a single assay for both type III and type VI TMPRSS2:ERG fusions in noninvasive prediction of prostate biopsy outcome. Clin. Chem. 2008;54:2007–2017. doi: 10.1373/clinchem.2008.108845. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Laxman B., Morris D.S., Yu J., Siddiqui J., Cao J., Mehra R., Lonigro R.J., Tsodikov A., Wei J.T., Tomlins S.A., Chinnaiyan A.M. A first-generation multiplex biomarker analysis of urine for the early detection of prostate cancer. Cancer Res. 2008;68:645–649. doi: 10.1158/0008-5472.CAN-07-3224. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Petrovics G., Liu A., Shaheduzzaman S., Furusato B., Sun C., Chen Y., Nau M., Ravindranath L., Chen Y., Dobi A., Srikantan V., Sesterhenn I.A., McLeod D.G., Vahey M., Moul J.W., Srivastava S. Frequent overexpression of ETS-related gene-1 (ERG1) in prostate cancer transcriptome. Oncogene. 2005;24:3847–3852. doi: 10.1038/sj.onc.1208518. [DOI] [PubMed] [Google Scholar]
  • 31.Risk M.C., Lin D.W. New and novel markers for prostate cancer detection. Curr. Urol. Rep. 2009;10:179–186. doi: 10.1007/s11934-009-0031-x. [DOI] [PubMed] [Google Scholar]

Articles from Cancers are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES