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Urothelial Cancer| Volume 21, P61-68, October 2020

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Fibroblast Growth Factor Receptor 3 Mutation as a Prognostic Indicator in Patients with Urothelial Carcinoma: A Systematic Review and Meta-analysis

Open AccessPublished:October 13, 2020DOI:https://doi.org/10.1016/j.euros.2020.08.008

      Abstract

      Background

      Fibroblast growth factor receptor 3 (FGFR3) mutations have been implicated in urothelial tumorigenesis. FGFR3 inhibitors are being explored in clinical trials.

      Objective

      We aimed to study the association between FGFR3 mutations and survival in urothelial carcinoma.

      Design, setting, and participants

      We performed a systematic literature search of PubMed, Cochrane, Ovid, and Web of Science from January 1985 to October 2018. The search terms were as follows: targeted therapies, FGFR and its subtypes, urothelial, bladder, and cancer. We included case-control or cohort studies of FGFR3 mutations in urothelial carcinoma. We included studies reporting hazard ratios (HRs) and 95% confidence intervals (CIs) for outcomes comparing FGFR3 mutations with FGFR3 wild type. Two reviewers performed article selection.

      Outcome measurements and statistical analysis

      We assessed heterogeneity among study-specific HRs using I2 statistic. We used a random effect model to obtain HR and 95% CI for event-free survival (EFS), composed of recurrence-free and progression-free survival. Statistical tests were two sided.

      Results and limitations

      Eleven studies (seven retrospective and four prospective) comprising 2162 patients were included. Analysis was performed for two groups. The first group included 1651 patients with non–muscle-invasive (NMI) urothelial carcinomas (886 [53.6%] had FGFR3 mutations). Compared with FGFR3 wild type, FGFR3 mutation did not influence EFS (HR = 0.99, CI = 0.77–1.28, p =  0.96). There was no significant heterogeneity (I2 = 25%). The second group included 511 patients with NMI and muscle-invasive (MI) urothelial carcinomas (151 [30%] had FGFR3 mutations). FGFR3 mutation was not prognostic (HR = 1.54, CI = 0.41–5.81, p =  0.52). There was heterogeneity (I2 = 91%).

      Conclusions

      There is no association between FGFR3 mutation and EFS in NMI urothelial carcinoma, and in NMI and MI urothelial carcinoma groups.

      Patient summary

      Fibroblast growth factor receptor 3 (FGFR3) mutation is not associated with a worse survival outcome in urothelial carcinoma. This is important as FGFR inhibitors are emerging as a new treatment option.

      Keywords

      1. Introduction

      The treatment of urothelial carcinoma is continually evolving. Multiple therapies have shown efficacy in urothelial carcinoma, which include chemotherapy, immunotherapy, and targeted therapies. As newer effective treatment options come forth, there is a need for biomarkers for the diagnosis, risk stratification, monitoring of treatment modalities, and prognosticating.
      The biomarker profile of urothelial carcinomas can be mapped and used to guide treatment with targeted therapies. Urothelial carcinoma subtypes, non–muscle invasive (NMI) and muscle invasive (MI), have distinct molecular pathways of urothelial tumorigenesis and progression. In the NMI type, the bladder epithelial cells can have mutation in RAS, fibroblast growth factor receptor 3 (FGFR3), or PIK3CA. Loss of heterozygosity of chromosome 9q has been associated with high-grade transformation of superficial papillary urothelial carcinoma. Loss of CDKN2A is associated with invasive carcinoma. Invasive transformation is associated with chromosome 9p and 9q loss of heterozygosity, TP53 mutation, and RB1 loss. As more mutations accumulate, urothelial carcinoma becomes more invasive and acquires metastatic potential [
      • Castillo-Martin M.
      • Domingo-Domenech J.
      • Karni-Schmidt O.
      • Matos T.
      • et al.
      Molecular pathways of urothelial development and bladder tumorigenesis.
      ].
      FGFR alterations are among the earliest changes detected in urothelial carcinogenesis and may play a role in malignant transformation. FGFR3 mutations are found in 80% of stage Ta tumours and 10–20% of ≥ stage T2 tumours. Five mechanisms could occur: (1) FGFR3 point mutation that activates the RAS-MAPK pathway and phospholipase Cγ; (2) switch of FGFR3-IIIb isoform to FGFR3-IIIc isoform leading to autocrine or paracrine signalling; (3) Altered splicing by introduction of a single nucleotide polymorphism in the intron of the FGFR3 gene; (4) chromosomal translocations that can generate FGFR3 fusion proteins that are highly oncogenic; or (5) upregulation of FGFR3 expression [
      • Knowles M.A.
      • Hurst C.D.
      Molecular biology of bladder cancer: new insights into pathogenesis and clinical diversity.
      ].
      Hence, alterations in FGFR3 are potentially important in urothelial carcinoma tumorigenesis. Currently, clinical trials are underway to study the effects of FGFR3 inhibitors in urothelial carcinomas. Considering that FGFR3 mutation is one of the molecular targets for treatment, here, we aimed to determine the impact of FGFR3 mutations on outcomes in urothelial carcinoma.

      2. Patients and methods

      2.1 Databases and searches

      An electronic search of PubMed, Cochrane, Ovid, and Web of Science was performed from January 1985 to October 2018. The search was limited to English-language articles. The search terms included targeted therapies, FGFR and its subtypes, urothelial, bladder, and cancer. The citation lists of retrieved articles were screened manually to ensure sensitivity of the search strategy.

      2.2 Study selection

      The inclusion criteria included studies on NMI and MI urothelial cancers with recurrence or progression-free survival outcomes. There was no restriction based on study methodology. The exclusion criteria included studies on metastatic disease and duplicate publications. One reviewer (S.K.) evaluated the titles and abstracts identified by the search strategy, and all potentially relevant publications were retrieved as complete pdf documents. Two independent reviewers (S.K. and J.E.) then assessed the articles for study eligibility, and their disagreement was resolved by consensus.

      2.3 Endpoints of interest

      The recurrence-free and progression-free survival outcomes were the studies’ endpoints of interest. Recurrence-free and progression-free survival outcomes were defined interchangeably between the studies; hence, we combined the two for our analysis and used the term event-free survival (EFS).

      2.4 Data extraction

      Data were extracted from the full-text articles. The following variables were collected: number of participants, sex, mean age, disease stage (NMI and MI), tumour grade, FGFR3 mutation positive or negative, FGFR3 mutation testing and company, duration of follow-up, treatment, and hazard ratio (HR) and 95% confidence interval (CI) for EFS. Outcome data were collected from the tables or figures where available; otherwise, they were estimated from Kaplan-Meier curves. We collected and analysed the data in two groups. One of the groups was NMI. The other group consisted of both NMI and MI, as the studies combined both of them together when presenting the results. We also conducted an analysis after combining all the studies and their outcomes.

      2.5 Statistical analysis

      Data were presented as means and proportions. Differences between groups were tested using χ2 test. The prognostic value of FGFR3-mutated compared with wild-type tumours was presented as HR with 95% CI. Data were combined into a meta-analysis using RevMan 5.3 analysis software (2014; Cochrane Collaboration, Copenhagen, Denmark). Estimates of HR were weighted and pooled using generic inverse variance and the random effect model. Statistical heterogeneity was assessed using the Cochran’s Q and I2 statistics. All statistical tests were two sided, and statistical significance was defined as p <  0.05. The random effect model was used due to heterogeneity between the studies. A funnel plot was used to determine publication bias.

      3. Results

      3.1 Study screening

      The initial search yielded 828 titles. After reviewing the titles and abstracts, we excluded 649 as they did not contain data on FGFR mutation. Of the remaining 179 abstracts, 103 were excluded as they were not original articles or were animal or preclinical studies. An additional 63 articles were excluded as the inclusion criteria of NMI and MI with recurrence-free and progression-free survival outcomes were not met. Some of these studies did not analyse progression-free or recurrence-free survival, some included other diagnostic methods such as urine testing for recurrence, and some incorporated other mutations as part of their analysis, for example, CDKN2A and TP53. An additional two studies were excluded as they contained duplicate data. Consequently, 11 studies were selected for analysis. The flow diagram for the literature review is illustrated in Fig. 1.
      Fig. 1
      Fig. 1Flow diagram of included studies. FGFR = fibroblast growth factor receptor.

      3.2 Study characteristics and meta-analysis results

      Characteristics of the included studies are shown in Table 1 [
      • Burger M.
      • van der Aa M.N.
      • van Oers J.M.
      • et al.
      Prediction of progression of non-muscle-invasive bladder cancer by WHO 1973 and 2004 grading and by FGFR3 mutation status: a prospective study.
      ,
      • Hernandez S.
      • Lopez-Knowles E.
      • Lloreta J.
      • et al.
      Prospective study of FGFR3 mutations as a prognostic factor in nonmuscle invasive urothelial bladder carcinomas.
      ,
      • Mhawech-Fauceglia P.
      • Cheney R.T.
      • Fischer G.
      • Beck A.
      • Hermann F.R.
      FGFR3 and p53 protein expressions in patients with pTa and pT1 urothelial bladder cancer.
      ,
      • Van der Aa M.N.
      • van Leenders G.J.
      • Steyerberg E.W.
      • et al.
      A new system for substaging pT1 papillary bladder cancer: a prognostic evaluation.
      ,
      • Van Rhijn B.W.
      • Zuiverloon T.C.
      • Vis A.N.
      • et al.
      Molecular grade (FGFR3/MIB-1) and EORTC risk scores are predictive in primary non-muscle-invasive bladder cancer.
      ,
      • Van Rhijn B.W.
      • Liu L.
      • Vis A.N.
      • et al.
      Prognostic value of molecular markers, sub-stage and European organisation for research and treatment of cancer risk scores in primary T1 bladder cancer.
      ,
      • Bertz S.
      • Abee C.
      • Schwarz-Furlan S.
      • et al.
      Increased angiogenesis and FGFR protein expression indicate a favourable prognosis in bladder cancer.
      ,
      • Eltze E.
      • Wild P.J.
      • Wulfing C.
      • et al.
      Expression of the endothelin axis in noninvasive and superficially invasive bladder cancer: relation to clinicopathologic and molecular prognostic parameters.
      ,
      • Kim P.H.
      • Cha E.K.
      • Sfakianos J.P.
      • et al.
      Genomic predictors of survival in patients with high-grade urothelial carcinoma of the bladder.
      ,
      • Lim S.
      • Koh M.J.
      • Jeong H.J.
      • et al.
      Fibroblast growth factor receptor 1 overexpression is associated with poor survival in patients with resected muscle invasive urothelial carcinoma.
      ,
      • Mhawech-Fauceglia P.
      • Fischer G.
      • Alvarez Jr, V.
      • Ahmed A.
      • Hermann F.R.
      Predicting outcome in minimally invasive (T1a and T1b) urothelial bladder carcinoma using a panel of biomarkers: a high throughput tissue microarray analysis.
      ]. The studies comprised a total of 2162 patients. The cohort of NMI urothelial cancer comprised 1651 patients. The mean age was 68 yr, 80% were male patients, and 27% had a high tumour grade. FGFR3 mutation was positive in 886 (53.6%). The median follow-up period ranged from 28 to 101 mo. FGFR3 mutation in NMI urothelial carcinomas was not associated with EFS (HR = 0.99, 95% CI = 0.77–1.28, p =  0.96). There was no evidence of statistically significant heterogeneity between the studies (Cochran’s Q p =  0.25, I2 = 25%; Fig. 2A).
      Table 1Study characteristics.
      StudySample sizeFGFR3+FGFR3+ analysisMean age (yr)SexDisease stageGradeTreatmentMedian follow-up (mo)
      NMI
      Burger (2008)
      • Burger M.
      • van der Aa M.N.
      • van Oers J.M.
      • et al.
      Prediction of progression of non-muscle-invasive bladder cancer by WHO 1973 and 2004 grading and by FGFR3 mutation status: a prospective study.
      221141SNaPshot68Male 77%NMIWHO (1973):TUR35
      G1—86 (39%), G2—110 (50%), G3—25 (11%)
      WHO (2004):
      PUNLMP—49 (22%), low grade—119 (55%), high grade—50 (23%)
      Hernandez (2006)
      • Hernandez S.
      • Lopez-Knowles E.
      • Lloreta J.
      • et al.
      Prospective study of FGFR3 mutations as a prognostic factor in nonmuscle invasive urothelial bladder carcinomas.
      764385PCR and direct sequencing66Male 87%NMIWHO (2004):TUR—306 (40%)63
      LMPN—43 (6%), TaG1—251 (33%), TaG2—239 (31%), TaG3—88 (11%), T1G2—24 (3%), T1G3—119 (15%)TUR + BCG—201 (26%)
      TUR + chemotherapy—179 (23%)
      TUR + BCG + chemotherapy—43 (6%)
      Other—24 (3%)
      Mhawech-Fauceglia (2006)
      • Mhawech-Fauceglia P.
      • Cheney R.T.
      • Fischer G.
      • Beck A.
      • Hermann F.R.
      FGFR3 and p53 protein expressions in patients with pTa and pT1 urothelial bladder cancer.
      254151IHC69Male 79%NMIWHO (1973):TUR—193 (76%)28
      G1—82 (32%), G2—105 (41%), G3—67 (26%)TUR + BCG—28 (11%)
      Partial cystectomy—2 (0.8%)
      Radical cystectomy—4 (1.6%)
      Therapy unknown—27 (11%)
      Van der Aa (2005)
      • Van der Aa M.N.
      • van Leenders G.J.
      • Steyerberg E.W.
      • et al.
      A new system for substaging pT1 papillary bladder cancer: a prognostic evaluation.
      5317PCR—T7 sequence v2.068Male 79%NMIWHO (1973):TUR, then 42 (79%) treated with immunotherapy or chemotherapy by intravesical instillation at the time of progression55
      G1—2 (4%), G2—24 (45%), G3—27 (51%)
      WHO/ISUP (1998):
      Low grade—14 (26%), high grade—39 (74%)
      van Rhijn (2010)
      • Van Rhijn B.W.
      • Zuiverloon T.C.
      • Vis A.N.
      • et al.
      Molecular grade (FGFR3/MIB-1) and EORTC risk scores are predictive in primary non-muscle-invasive bladder cancer.
      230155SNaPshot65Male 76%NMIWHO (1973):TUR—72 (31%)101
      G1—88 (38%), G2—108 (47%), G3—34 (15%)TUR + chemotherapy—58 (25%)
      WHO (2004):TUR + BCG—58 (25%)
      PUN-LMP—82 (36%), LG-PUC—80 (35%), HG-PUC—68 (29%)TUR + BCG + chemotherapy—42 (19%)
      van Rhijn (2012)
      • Van Rhijn B.W.
      • Liu L.
      • Vis A.N.
      • et al.
      Prognostic value of molecular markers, sub-stage and European organisation for research and treatment of cancer risk scores in primary T1 bladder cancer.
      12937SNaPshot69Male 81%NMIWHO (1973):TUR + BCG—106 (82%)78
      G2—55 (43%), G3—74 (57%)TUR + BCG + chemotherapy—23 (18%)
      WHO (2004):
      Low grade—26 (20%), high grade—103 (80%)
      NMI + MI
      Bertz (2014)
      • Bertz S.
      • Abee C.
      • Schwarz-Furlan S.
      • et al.
      Increased angiogenesis and FGFR protein expression indicate a favourable prognosis in bladder cancer.
      5628SNaPshot71Male 80%NMI, MIWHO (1973):TUR53
      G1—11 (18%), G2—31 (51%), G3—19 (31%)
      WHO (2004):
      Low grade—25 (41%), high grade—36 (59%)
      Eltze (2008)
      • Eltze E.
      • Wild P.J.
      • Wulfing C.
      • et al.
      Expression of the endothelin axis in noninvasive and superficially invasive bladder cancer: relation to clinicopathologic and molecular prognostic parameters.
      15461SNaPshot68Male 72%NMI, MIWHO:TUR68
      G1—47 (31%), G2—43 (28%), G3—64 (42%)
      Kim (2015)
      • Kim P.H.
      • Cha E.K.
      • Sfakianos J.P.
      • et al.
      Genomic predictors of survival in patients with high-grade urothelial carcinoma of the bladder.
      10922MSK-IMPACT assay68Male 75%NMI, MIHigh gradeRadical cystectomy + neoadjuvant chemotherapy—42 (39%)1.7
      Radical cystectomy—67 (61%)
      Lim (2016)
      • Lim S.
      • Koh M.J.
      • Jeong H.J.
      • et al.
      Fibroblast growth factor receptor 1 overexpression is associated with poor survival in patients with resected muscle invasive urothelial carcinoma.
      9814IHC70Male 84%NMI, MIHigh gradeCystectomy—51 (52%)34
      Cystectomy + adjuvant chemotherapy—47 (48%)
      Mhawech-Fauceglia (2007)
      • Mhawech-Fauceglia P.
      • Fischer G.
      • Alvarez Jr, V.
      • Ahmed A.
      • Hermann F.R.
      Predicting outcome in minimally invasive (T1a and T1b) urothelial bladder carcinoma using a panel of biomarkers: a high throughput tissue microarray analysis.
      9426IHC70Male 84%NMI, MIWHO (2003):TUR—32 (71%)12
      Low grade—36 (80%), high grade—9 (20%)TUR + BCG—7 (16%)
      Cystectomy—6 (13%)
      BCG = bacillus Calmette–Guérin; FGFR3 = fibroblast growth factor receptor 3; HG-PUC = high-grade papillary urothelial carcinoma; IHC = immunohistochemistry; ISUP = International Society of Urological Pathology; LG-PUC = low-grade papillary urothelial carcinoma; LMPN = low malignant potential neoplasm; MI = muscle invasive; NMI = non–muscle invasive; PCR = polymerase chain reaction; PUN-LMP = papillary urothelial neoplasm of low malignant potential; TUR = transurethral resection; WHO = World Health Organization.
      Fig. 2
      Fig. 2Forest plots displaying HR in FGFR3-positive and FGFR3-negative groups for EFS: (A) NMI and (B) NMI + MI. CI = confidence interval; EFS = event-free survival; FGFR3 = fibroblast growth factor receptor 3; HR = hazard ratio; IV = inverse variance; MI = muscle invasive; NMI = non–muscle invasive.
      The second group included 511 patients with both NMI and MI urothelial carcinomas. The mean age was 69 yr, 79% were male patients, and 62% had a high tumour grade. FGFR3 mutation was present in 151 (30%). The median follow-up period ranged from 1.7 to 68 mo. FGFR3 mutation was associated with nonsignificantly worse EFS (HR = 1.54, 95% CI = 0.41–5.81, p =  0.52; Fig. 2B). There was evidence of statistically significant heterogeneity between studies (Cochran’s Q p = <0.001, I2 = 91%). This could suggest clinical heterogeneity due to the combination of NMI and MI groups, and different treatments that were utilised. In the outliers, Bertz et al’s [
      • Bertz S.
      • Abee C.
      • Schwarz-Furlan S.
      • et al.
      Increased angiogenesis and FGFR protein expression indicate a favourable prognosis in bladder cancer.
      ] study consisted mainly of NMI tumours and Lim et al’s [
      • Lim S.
      • Koh M.J.
      • Jeong H.J.
      • et al.
      Fibroblast growth factor receptor 1 overexpression is associated with poor survival in patients with resected muscle invasive urothelial carcinoma.
      ] dataset comprised mainly MI tumours, which received more extensive treatments that impacted outcomes.
      We also conducted a combined analysis of the two groups, in which FGFR3 mutation was not associated with a worse EFS outcome (HR = 1.15, 95% CI = 0.70–1.86, p =  0.59). There is statistically significant heterogeneity between studies (Cochran’s Q p = <0.00001, I2 = 83%).

      3.3 Publication bias

      A funnel plot depicted a consistent distribution of the studies, suggesting a lack of publication bias (Fig. 3).
      Fig. 3
      Fig. 3Funnel plot of the studies. MI = muscle invasive; NMI = non–muscle invasive; SE = standard error.

      4. Discussion

      After reviewing 11 studies, which included 2162 patients, our meta-analysis shows that FGFR3 mutation compared with FGFR3 wild type did not influence EFS in NMI urothelial carcinoma. A nonsignificant association with worse outcome was observed in an analysis of a mixed cohort of NMI and MI urothelial carcinomas. These findings support that FGFR3 mutation does not lead to worse outcomes.
      FGFR3 mutation may be able to serve as a biomarker for urothelial cancers to help with diagnosis, treatment, and prognostication. Robertson et al [
      • Robertson A.G.
      • Kim J.
      • Al-Ahmadie
      • et al.
      Comprehensive molecular characterization of muscle invasive bladder cancer.
      ] examined the molecular characterisation of 412 urothelial carcinomas—MI high grade, and noted that urothelial cancers have one of the highest mutation rates compared with other cancers. Of these, in luminal papillary tumours, FGFR3 mutations occurred in 42/57. The FGFR3 mutations were more frequent in lower stages and had better survival. Through next-generation sequencing, urothelial tumours were analysed for FGFR aberrations: 15% had activating FGFR3 somatic mutations, 7% had FGFR1 amplifications, 6% had gene fusions, and 3% had FGFR3 amplifications [
      • Helsten T.
      • Elkin S.
      • Arthur E.
      • Tomson B.N.
      • Carter J.
      • Kurzrock R.
      The FGFR landscape in cancer: analysis of 4,853 tumors by next-generation sequencing.
      ]. Hence, FGFR mutations might play an important role in guiding treatment. Furthermore, FGFR mutation status can be combined with known biomarkers to determine treatment efficacy. As programmed cell death (PD)-1/PD-ligand 1 (PD-L1) inhibitors are approved for treating urothelial carcinoma, some real-world evidence data suggested that FGFR alterations had higher positivity rates in early stages, and lower PD-L1 expression was observed in patients with FGFR mutation [
      • Maraz A.
      • Takacs P.
      • Lawson J.
      • et al.
      Correlation between FGFR mutation and PD-L1 expression of urinary bladder cancers: a real-world based biomarker study.
      ]. This highlights that a different treatment option could be followed for patients with FGFR mutations. Additional studies are required to determine whether FGFR mutation could be utilised as a predictive or prognostic biomarker.
      Our meta-analysis did not suggest a significant effect of FGFR3 mutations on outcomes. However, in clinical trials, FGFR3 mutation is an actionable target for targeted therapies, as specific intervention can impact survival outcomes in urothelial carcinomas. Recent clinical studies have shown promising results for FGFR inhibitors in urothelial carcinoma with FGFR3 mutations. In a phase II trial, erdafitinib was administered to patients with locally advanced, surgically unresectable, or metastatic urothelial carcinoma. Objective tumour response occurred in 40% (3% complete and 37% partial response) with erdafitinib [
      • Loriot Y.
      • Necchi A.
      • Park S.H.
      • et al.
      Erdafitinib in locally advanced or metastatic urothelial carcinoma.
      ]. Additionally, in another phase II trial, BCGJ398, a selective pan-FGFR, was administered to patients with metastatic urothelial carcinoma and the overall response rate was 25.4%, with disease stabilisation in 38.8% of patients [
      • Pal S.K.
      • Rosenberg J.E.
      • Hoffman-Censits J.H.
      • et al.
      Efficacy of BGJ398, a fibroblast growth factor receptor 1-3 inhibitor, in patients with previously treated advanced urothelial carcinoma with FGFR3 alterations.
      ]. Based on these results, erdafitinib received accelerated Food and Drug Administration approval [

      U.S. Food and Drug Administration. FDA approves first targeted therapy for metastatic bladder cancer. April 12, 2019. https://www.fda.gov/news-events/press-announcements/fda-approves-first-targeted-therapy-metastatic-bladder-cancer.

      ]. In a phase I study, rogaratinib, an oral pan-FGFR inhibitor, was administered to patients with urothelial, and head and neck squamous and non–small-cell lung cancers. Of 100 patients, 15 (15%) achieved an objective response, and 10 of these15 (67%) patients had FGFR mRNA overexpressing tumours [
      • Schuler M.
      • Cho B.C.
      • Sayehli C.M.
      • et al.
      Rogaratinib in patients with advanced cancers selected by FGFR mRNA expression: a phase 1 dose-escalation and dose-expansion study.
      ]. In the phase I expansion cohort in urothelial carcinoma, rogaratinib was studied further. A total of 219 patients with urothelial carcinoma were prescreened for FGR1–3 mRNA expression levels and FGFR3 activating mutations, 45% of whom were FGFR positive. Of these FGFR-positive patients, 87% were positive for FGFR3 mRNA and 5% for FGFR1 mRNA, and 8% were double FGFR mRNA positive; 7% had FGFR3 mutation. The objective response rate was 24%. In addition, 10 FGFR-positive urothelial carcinoma patients progressed on immunotherapy, and after treatment with rogaratinib, the objective response rate was 30% and the disease control rate was 80%. This supports that rogaratinib had response and disease control rates in urothelial patients who were refractory to previous immunotherapy [
      • Joerger M.
      • Cassier P.
      • Penel N.
      • et al.
      Rogaratinib treatment of patients with advanced urothelial carcinomas prescreened for tumor FGFR mRNA expression.
      ].
      As FGFR inhibitors are being studied in various cancers and have shown efficacy, phase III trials are being conducted to assess them further. A phase III clinical trial is underway to study erdafitinib compared with vinflunine or docetaxel or pembrolizumab in locally advanced urothelial cancer with FGFR aberrations [

      National Cancer Institute. A study of erdafitinib compared with vinflunine or docetaxel or pembrolizumab in participants with advanced urothelial cancer and selected fibroblast growth factor receptor (FGFR) gene aberrations. https://www.cancer.gov/about-cancer/treatment/clinical-trials/search/v?id=NCI-2018-01443&r=1.

      ]. Likewise, FGFR inhibitors are being used in combination with immunotherapy to improve response rates and survival outcomes. BISCAY, a randomised, multidrug, biomarker-directed, multicentre, multiarm phase 1b study in patients with MI urothelial cancer, who were platinum refractory and immune therapy naïve, were divided into four cohorts through DNA analysis and next-generation sequencing. In arm A, patients had FGFR 1, 2, and 3 mutations/fusions, and were given AZD4547 or AZD4547 + durvalumab. In arm B, patients with ATM, BRCA 1/2, and HRR gene mutations were assigned to olaparib + durvalumab. In arm C, patients with RICTOR, TSC1, and TSC2 mutations were assigned to receive vistusertib + durvalumab. In arm D, no mutations were detected and the patients were given durvalumab. The objective response rates in these arms were as follows: arm A with AZD4547—20% and with AZD4547 + durvalumab—28.6%, arm B—35.7%, arm C—24.1%, and arm D—27.6%. It was concluded that AZD4547 monotherapy had similar response rates to the combination of AZD4547 and durvalumab [
      • Powles T.B.
      • Balar A.
      • Gravis G.
      • et al.
      An adaptive, biomarker directed platform study in metastatic urothelial cancer (BISCAY) with durvalumab in combination with targeted therapies.
      ]. Furthermore, IMvigor130 phase III clinical trial studied atezolizumab with or without platinum-based chemotherapy in untreated metastatic urothelial carcinoma. The interim analysis results stated a clinically meaningful benefit in overall survival in the arm that consisted of atezolizumab with platinum and gemcitabine, but it did not cross the prespecified interim efficacy boundary, and a follow-up analysis is pending [
      • Grande E.
      • Galsky M.
      • Arranz Arija J.A.
      • et al.
      IMvigor130: a phase III study of atezolizumab with or without platinum-based chemotherapy in previously untreated metastatic urothelial carcinoma.
      ]. As immune therapy has a role in urothelial cancer, trials are underway to study the combination of immune therapy with FGFR inhibitors.
      Additionally, to further study the effects of combination therapy, a phase 1b/2 study, FIDES-02, is being conducted with a pan-FGFR kinase inhibitor, derazantinib, in combination with the PD-L1 inhibitor atezolizumab in advanced urothelial cancer, including metastatic, surgically unresectable, and FGFR gene aberrations [

      ClinicalTrials.gov. Derazantinib and atezolizumab in patients with urothelial cancer (FIDES-02). August 5, 2019. https://clinicaltrials.gov/ct2/show/NCT04045613.

      ]. Preclinical models have also shown that the activity of pan-FGFR inhibitors in urothelial carcinoma is higher in PIK3CA wild type. Copanlisib, a pan class I PI3K inhibitor, when combined with rogaratinib had synergistic activity to reduce tumour growth. Hence, a clinical trial with rogaratinib and copanlisib in FGFR cancers is on-going [
      • Jerchel I.S.
      • Lejeune P.
      • Lampignano R.
      • et al.
      Abstract 3080: Activity of pan-FGFR inhibitor rogaratinib and PI3K inhibitor copanlisib in preclinical urothelial bladder cancer models.
      ].
      Our meta-analysis has limitations. Most of the selected studies included patients with NMI disease only, while a group of them combined both NMI and MI urothelial cancer patients for their analysis, and we were unable to differentiate between outcomes of these patient groups. There was clinical heterogeneity in the analysis. It is likely that this heterogeneity was driven by the combination of NMI and MI patients. We were unable to analyse the EFS for the advanced disease MI, as studies including MI patients only were not available. Data on overall survival was lacking; hence, overall survival was not analysed and EFS was utilised. In addition, we were unable to conduct a subgroup analysis according to grade for EFS, as the studies did not separate urothelial carcinoma into groups in their analysis. Furthermore, we were unable to analyse the EFS for upper tract and bladder urothelial carcinomas separately, as the selected studies did not analyse outcomes for these two particular groups. In our meta-analysis, we included studies in which patients tested positive for FGFR3 mainly through the immunohistochemistry or SNaPshot method. There is on-going research about which method to utilise in current practice to test for FGFR3 positivity, especially with the FGFR3 inhibitors as a therapeutic option [
      • Poyet C.
      • Hermanns T.
      • Zhong Q.
      • et al.
      Positive fibroblast growth factor receptor 3 immunoreactivity is associated with low-grade non-invasive urothelial bladder cancer.
      ,
      • Tomlinson D.C.
      • Baldo O.
      • Harnden P.
      • Knowles M.A.
      FGFR3 protein expression and its relationship to mutation status and prognostic variables in bladder cancer.
      ]. The studies included in the meta-analysis are nonrandomised and can be related to a publishing bias.

      5. Conclusions

      Our meta-analysis shows that in the NMI urothelial carcinoma, and in the NMI and MI urothelial carcinoma groups, FGFR3 mutation status is not associated with a worse outcome. Several clinical trials are underway to study the effects of FGFR inhibitors on urothelial carcinomas with FGFR3 aberrations. As phase II clinical trials have resulted in better response rates, phase III clinical trials for FGFR inhibitors are on-going. Clinical trials comparing the efficacy of FGFR inhibitors, chemotherapy, and/or immunotherapy are also in progress. Studying FGFR3 in clinical trials is of utmost importance, as it could be a potential treatment option for patients with chemoresistant cancers or when immune therapy is not effective/contraindicated in urothelial carcinoma; therefore, embedded correlative studies for biomarker testing should be a priority in the design of these studies. Hence, in future, a pooled analysis for MI and metastatic urothelial cancers to assess survival outcomes could be conducted.
      Author contributions: Francisco E. Vera-Badillo had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
      Study concept and design: Vera-Badillo.
      Acquisition of data: Vera-Badillo.
      Analysis and interpretation of data: Vera-Badillo, Khalid, Emack.
      Drafting of the manuscript: Vera-Badillo, Khalid.
      Critical revision of the manuscript for important intellectual content: Vera-Badillo, Khalid, Emack, Basulaiman, Booth, Duran, Robinson, Berman, Smoragiewicz, Amir.
      Statistical analysis: Vera-Badillo, Khalid.
      Obtaining funding: Vera-Badillo.
      Administrative, technical, or material support: Vera-Badillo.
      Supervision: Vera-Badillo.
      Other: None.
      Financial disclosures: Francisco E. Vera-Badillo certifies that all conflicts of interest, including specific financial interests and relationships and affiliations relevant to the subject matter or materials discussed in the manuscript (eg, employment/affiliation, grants or funding, consultancies, honoraria, stock ownership or options, expert testimony, royalties, or patents filed, received, or pending), are the following: None.
      Funding/Support and role of the sponsor: This work was supported by Queen’s University, Kingston, ON, Canada
      Acknowledgements: We thank Dr. Bas W.G. van Rhijn, from Division of Urology at Princess Margaret Hospital, Toronto, CA, and Dr. David B. Solit, from Medicine and Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, and Weill Medical College of Cornell University, New York, NY, for sharing non-published data. We also acknowledge Dr. Adrian Verdines, from the Department of Medicine, Instituto Mexicano del Seguro Social (IMSS) in Monterrey, Mexico, for conducting the systematic search.

      CRediT authorship contribution statement

      Sidra Khalid: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Resources, Writing - original draft, Writing - review & editing. Bassam Mohammed Basulaiman: Conceptualization, Methodology, Validation, Resources, Investigation, Writing - review & editing. Jeffrey Emack: Validation, Investigation, Resources, Writing - review & editing. Christopher M. Booth: Validation, Data curation, Writing - review & editing. Ignacio Duran: Validation, Data curation, Writing - review & editing. Andrew Robinson: Validation, Data curation, Writing - review & editing. David Berman: Validation, Data curation, Writing - original draft, Writing - review & editing. Martin Smoragiewicz: Validation, Data curation, Writing - review & editing. Eitan Amir: Conceptualization, Methodology, Validation, Formal analysis, Data curation, Writing - original draft, Writing - review & editing, Supervision. Francisco E. Vera-Badillo : Conceptualization, Methodology, Validation, Formal analysis, Data curation, Writing - original draft, Writing - review & editing, Supervision.

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