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EUROPEAN UROLOGY 67 (2015) 202–203 available at www.sciencedirect.com journal homepage: www.europeanurology.com Platinum Priority – Editorial Referring to the article published on pp. 198–201 of this issue The Molecular Background of Urothelial Cancer: Ready for Action? Michiel S. van der Heijden a,b, Bas W.G. van Rhijn c,* a Department of Medical Oncology, Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands; b Division of Molecular Carcinogenesis, Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands; c Department of Surgical Oncology (Urology), Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands Bladder cancer is a common cancer worldwide, with a prevalence of 2.7 million patients. Although bladder cancer is often noninvasive at diagnosis, 30–40% of patients present with more advanced disease or progress to more aggressive disease. Urothelial carcinomas can be staged clinically or classified into various histologic subtypes. Although these classification systems convey some information on prognosis, individual clinical behavior cannot easily be predicted [1]. Urothelial cancers that appear similar under the microscope can vary greatly in their clinical behavior. For example, patients with extensive lymph node metastases can have remarkable and lasting remissions on cisplatin-containing chemotherapy, whereas patients with small urothelial cancers can have an aggressive and short clinical course from presentation to death. In recent years, knowledge about the molecular background of bladder cancer has greatly increased with the completion of several comprehensive sequencing studies. The most influential of these studies is the effort by The Cancer Genome Atlas consortium, providing an in-depth overview of the genetic background of bladder cancer [2]. These efforts have produced several important new insights. First, the average number of somatic mutations per cancer genome is among the highest mutation rates of any cancer. This high number of mutations in bladder cancer is presumably caused by toxic compounds (eg, related to cigarette smoking). Second, several mutations in kinases such as the receptor tyrosine kinases and members of the PI3K pathway are present, providing potential targets for treatment. Finally, it has become clear that epigenetic reprogramming could play an important role in bladder cancer, as evidenced by a very high frequency of mutations in histone-modifying enzymes and chromatin-remodeling genes. Because it was expected that these molecular characteristics could possibly predict clinical behavior, a plethora of studies have aimed to establish prognostic biomarkers. Mutations in the fibroblast growth factor receptor 3 (FGFR3) and phosphatidylinositol-4,5-biphosphate 3-kinase, catalytic subunit alpha (PIK3CA) genes are known to be associated with lack of progression from superficial disease to muscle-invasive bladder cancer [3]. Whether these mutations are associated with prognosis when they occur in muscle-invasive disease is still unclear. Several studies reported recently on frequent mutations in the stromal antigen 2 (STAG2) gene. However, association with prognosis appears conflicting [4,5]. Many of these studies are difficult to interpret because of small sample size and the mixed composition of tumor sets (eg, muscle invasive and superficial). The use of assays that do not assess the full spectrum of genetic cancer-related aberrations that can occur in a gene has perhaps also resulted in false-positive or negative results. One such an example would be the assessment of hotspot mutations in the FGFR3 gene without testing for gene fusions. In a retrospective single-center study by Kim et al. [6] in this month’s issue of European Urology, 300 genes commonly associated with cancer were sequenced using a capture-based assay in 109 patients with high-grade bladder cancer, and mutations/pathways were compared with clinical outcome in 89 radical cystectomy cases. Mutations in the tumor protein p53 (TP53) gene were most common (57%) and associated with poor histopathologic DOI of original article: http://dx.doi.org/10.1016/j.eururo.2014.06.050. * Corresponding author. Department of Surgical Oncology (Urology), Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands. Tel. +31 20 5122553; Fax: +31 20 5122459. E-mail address: [email protected] (Bas W.G. van Rhijn). http://dx.doi.org/10.1016/j.eururo.2014.07.017 0302-2838/# 2014 European Association of Urology. Published by Elsevier B.V. All rights reserved. EUROPEAN UROLOGY 67 (2015) 202–203 characteristics (pT/pN) but not independently with clinical outcome. PIK3CA mutations were associated with favorable clinical outcome but not with histopathologic characteristics. Cyclin-dependent kinase inhibitor 2A (CDKN2A) alterations were associated with worse clinical outcome but not with histopathologic characteristics. The authors should be applauded for achieving such a comprehensive analysis of a relatively large collection of clinically annotated samples. However, this study has some limitations that make it difficult to predict how the results can be used in clinical practice. Multivariable testing of 22 genes or pathways, in a cohort of 89 cases with 33 events, impairs the reliability of the analysis. Statistical type I and type II errors are likely to occur if multiple variables are tested in a relatively small patient population. Also, groups were heterogeneous in the tissue used (transurethral resection or cystectomy), and patients who both did and did not receive perioperative chemotherapy were included. The genes found to carry prognostic value should therefore be confirmed in an external data set to establish the validity of these biomarkers. Even if confirmed in an independent data set, it is unclear how this will change our approach in clinical practice because prognostic biomarkers are not necessarily predictive of treatment effects [1]. More than ever before, detailed knowledge of most of the genes and pathways that are altered in bladder cancer is available. Using this information to direct treatments by matching the right drug to the right patient should be the highest priority. As an example, actionable alterations include activating point mutations and translocations in the FGFR3 gene. Highly selective inhibitors can now target these alterations. Early data suggest that these new inhibitors may be effective [7]. Other drug targets include v-erb b2 avian erythroblastic leukemia viral oncogene homolog 2 (ERBB2) (point mutations and amplification) and members of the PI3K/AKT pathway. In a recent elegant study, inactivation of tuberous sclerosis 1 (TSC1) was found to be associated with a remarkable response to the mammalian target of rapamycin inhibitor everolimus [8]. Because single drugs for single targets are unlikely to be sufficiently active in most patients, exploring combinatorial approaches based on preclinical evidence should accompany early-phase trials of targeted agents. Using a conceptually different approach, early trials with immunotherapy are aimed at the expression of PD-L1 [9] and MAGE-A3 [10]. The epigenetic events that contribute to the development of bladder cancer are still largely unknown, but judging by the high mutation rate in histone- and chromatin-modifying genes, epigenetic reprogramming is likely to play an important 203 driving role. As compounds that target epigenetic pathways are increasingly developed, opportunities to test hypotheses are mounting. Again, dedicated preclinical efforts exploring the best combinations to be tested in patients are of paramount importance. In conclusion, the molecular landscape of bladder cancer has greatly expanded in recent years, providing various targets for treatment. Our therapeutic toolbox has never been richer, with drugs targeting the immune system, epigenetic programs, and kinases involved in key growthpromoting pathways. Laboratory researchers and dedicated clinicians should therefore join forces to put these tools into action and finally improve the prognosis for our patients with this deadly disease. Conflicts of interest: The authors have nothing to disclose. References [1] Van Rhijn BW, Catto J, Goebel PJ, et al. Molecular markers for urothelial bladder cancer prognosis: towards implementation in clinical practice. Urol Oncol 2014;32:1078–87. [2] Cancer Genome Atlas Research, Network. Comprehensive molecular characterization of urothelial bladder, carcinoma. Nature 2014;507:315–22. [3] Kompier LC, Lurkin I, van der Aa MN, van Rhijn BW, van der Kwast TH, Zwarthoff EC. FGFR3, HRAS, KRAS, NRAS and PIK3CA mutations in bladder cancer and their potential as biomarkers for surveillance and therapy. PLoS ONE 2010;5:e13821. [4] Balbas-Martinez C, Sagrera A, Carrillo-de-Santa-Pau E, et al. Recurrent inactivation of STAG2 in bladder cancer is not associated with aneuploidy. Nat Genet 2013;45:1464–9. [5] Solomon DA, Kim JS, Bondaruk J, et al. Frequent truncating mutations of STAG2 in bladder cancer. Nat Genet 2013;45:1428–30. [6] Kim PH, Cha EK, Sfakianos JP, et al. Genomic predictors of survival in patients with high-grade urothelial carcinoma of the bladder. Eur Urol 2015;67:198–201. [7] Sequist LV, Cassier P, Varga A, et al. Phase I study of BGJ398, a selective pan-FGFR inhibitor in genetically preselected advanced solid tumors [abstract CT326]. Paper presented at: 105th Annual Meeting of the American Association for Cancer Research; April 5-9, 2014; San Diego, CA, USA. [8] Iyer G, Hanrahan AJ, Milowsky MI, et al. Genome sequencing identifies a basis for everolimus sensitivity. Science 2012;338:221. [9] Powles T, Vogelzang NJ, Fine GD, et al. Inhibition of PD-L1 by MPDL3280A and clinical activity in pts with metastatic urothelial bladder cancer (UBC) [abstract 5011]. J Clin Oncol 2014;32:5s, Suppl. [10] Colombel M, Heidenreich A, Martinez-Pineiro L, et al. Perioperative chemotherapy in muscle-invasive bladder cancer: overview and the unmet clinical need for alternative adjuvant therapy as studied in the MAGNOLIA trial. Eur Urol 2014;65:509–11.