Anti-tumour Treatment
The future of bladder cancer therapy: Optimizing the inhibition of the fibroblast growth factor receptor

https://doi.org/10.1016/j.ctrv.2020.102000Get rights and content

Highlights

  • Targeted therapies in advanced/metastastic bladder cancer have significant challenges due to molecular heterogeneity.

  • FGFRs have been considered as promising drug targets for the therapy of various cancers, including advanced/metastatic bladder cancer.

  • Several inhibitors targeting FGFRs are in development.

  • Erdafitinib has been approved by FDA as a therapy for metastatic BC in patients who have progressed to platinum-based chemotherapy.

Abstract

Therapeutic options for metastatic bladder cancer (BC) have seen minimal evolution over the past 30 years, with platinum-based chemotherapy remaining the mainstay of standard of care for metastatic BC. Recently, five immune checkpoint inhibitors (ICIs) have been approved by the FDA as second-line therapy, and two ICIs are approved as first-line treatment in selected patients. Molecular alterations of muscle-invasive bladder cancer (MIBC) have been reported by The Cancer Genome Atlas. About 15% of patients with MIBC have molecular alterations in the fibroblast growth factor (FGF) axis. Several ongoing trials are testing novel FGF receptor (FGFR) inhibitors in patients with FGFR genomic aberrations. Recently, erdafitinib, a pan-FGFR inhibitor, was approved by the FDA in patients with metastatic BC who have progressed on platinum-based chemotherapy. We reviewed the literature over the last decade and provide a summary of current knowledge of FGF signaling, and the prognosis associated with FGFR mutations in BC. We cover the role of FGFR inhibition with non-selective and selective tyrosine kinase inhibitors as well as novel agents in metastatic BC. Efficacy and safety data including insights from mechanism-based toxicity are reported for selected populations of metastatic BC with FGFR aberrations. Current strategies to managing resistance to anti-FGFR agents is addressed, and the importance of developing reliable biomarkers as the therapeutic landscape moves towards an individualized therapeutic approach.

Introduction

Bladder cancer (BC) is a major global health challenge with 549,393 new cases and nearly 200,000 deaths during 2018 [1]. In 2018, estimated BC incidence and mortality in Europe were 197,100 and 65,000 cases, respectively [2]. Urothelial carcinoma (UC) is the most common histologic subtype of BC and represents nearly 90% of all cases. Other less common subtypes are squamous cell carcinoma, adenocarcinoma, and small cell carcinoma [3]. Around 30% of cases are diagnosed as muscle-invasive bladder cancer (MIBC) and most are locally advanced or metastatic at diagnosis, requiring systemic treatment [4].

The initial The Cancer Genome Atlas (TCGA) analysis in 131 BCs identified several targetable genomic alterations in 69% of the tumors [5]. More recently, a cohort of 412 chemotherapy-naïve MIBC tumors from the TCGA project was reported [6]. About 70% of all mutations were due to apoliprotein B mRNA editing catalytic polypeptide-like (APOBEC) mediated mutagenesis [7]. The analysis identified 58 significantly-mutated genes, the most frequent being TP53, PI3K, KRAS, FGFR, ERBB2, RB1, ELF3 and chromatin-modifying genes such as MLL2, ARID1A and KDM6A [5]. According to the TCGA study, FGFR3 is altered in approximately 12% of cases. Using mRNA sequencing data from 408 tumors, the TCGA defined BC into five mRNA expression-based subtypes [5]: luminal-papillary (defined by FGFR3 mutations, TACC3 fusions, and low progression risk), luminal-infiltrated (fibroblastic and immune marker expression), luminal (KRT20 and SNX31 expression), basal-squamous (female preponderance and immune marker expression) and neuronal (neuroendocrine gene expression and high proliferation signatures). High mutation load was more commonly found in APOBEC-high tumors and chromatin regulatory in DNA damage response gene, while APOBEC-low tumors were associated with mutations in FGFR3 and KRAS. APOBEC-high tumors were associated with better overall survival (OS) compared to APOBEC-low tumors [5], [6].

A wealth of preclinical studies in BC cell lines and xenograft models have confirmed that FGFR alterations confer sensitivity to FGFR inhibitors, forming the basis for the clinical development of FGFR3 inhibitors in selected patients with BC harboring FGFR dysregulations.

We performed a literature review to identify preclinical and clinical advances with inhibitors of the FGF signaling pathway in BC over the last decade. An overview of the FGF/FGFR axis is presented along with the current clinical status of FGFR inhibitors that represent potential novel therapeutic drugs targeting the FGFR pathway. We also describe potential mechanisms for primary or secondary resistance and discuss mechanism-based toxicity in targeting the FGFR pathway.

Section snippets

Methods

A systematic analysis of the literature was conducted by performing a MeSH search in PubMed using the terms ‘FGFR’ and ‘FGF’ combined with ‘bladder cancer’ and ‘therapy’. The search was limited to English-language articles published between 1999 and 2019. Abstracts from annual meetings of the American Society of Clinical Oncology (ASCO), European Society of Medical Oncology (ESMO) and American Association for Cancer Research (AACR-NCI-EORTC) International Conference on Molecular Targets and

Fibroblast growth factor signaling

FGFs comprise a large family of 22 structurally related ligands. They bind to an FGF receptor (FGFR), regulating a wide range of cellular processes including proliferation, angiogenesis, and apoptosis [8], [9], [10], [11], [12]. Four homologous human receptors (FGFR1-4) have been identified, while FGFR5 binds FGF ligands but lacks an intracellular kinase domain [11]. Each of the four FGFRs recognizes a unique subset of FGF family of ligands [11], [12].

FGFRs have a canonical tyrosine kinase

FGFR mutations and prognosis in bladder cancer

The link between BC and FGFR mutations has been clearly established [8], [12], [14], [15]. While overall incidence of FGFR mutations is low, ranging from 0.8% to 7% depending on receptor type [11], [13], [15], high incidence has been associated with specific cancer types, with mutations in FGFR3 detected in approximately 80% of non-muscle-invasive papillary BC [16], while FGFR mutations are reported in 20% of MIBC [17]. The most common alterations are in FGFR2 and FGFR3. The TACC gene has been

FGFR inhibitors in bladder cancer

FGFR genetic aberrations identified as potential novel targets in the management of metastatic BC can be divided in two groups depending upon the molecular and mechanism of action: non-selective and selective FGFR inhibitors. Two additional classes of compounds, monoclonal antibodies and FGF-ligand traps have also been investigated. A summary of results of key selective FGFR inhibitors is presented in for efficacy in Table 1 and safety in Table 2. Table 3 summarizes planned studies with FGF

Mechanism-based toxicity of FGFR inhibition

Non-selective FGFR inhibitors have shown limited clinical response with excessive toxicity, while selective pan-FGFR inhibitors had favorable response rates with generally better toxicity profiles. The most common AEs include hyperphosphatemia, fatigue, skin and nail toxicity, diarrhea and stomatitis (Table 2).

Hyperphosphatemia is one of the most common related AEs and has emerged as a mechanism-based toxicity seen with several potent pan-FGFR inhibitors [37], [38], [41], [42], [44], [45], [46]

Molecular mechanisms of primary and acquired resistance

Despite FGFR alterations predicting sensitivity to selective FGFR inhibitors, progression occurs in up to 18% of patients [38], [42], [45], [58]. Interestingly, patients with FGFR alterations harboring PIK3CA and/or RAS mutations were less likely to respond to rogaratinib than those without [45]. Liu et al reported two FGF mutant cancer cell lines harboring KRASG12V mutations are non-responsive to FGFR inhibition, regardless of the FGFR alteration [73]. These data suggest that PIK3CA and/or RAS

Exploiting biomarkers for FGFR-targeted treatment

BC is a complex malignancy and effective clinical management requires both a thorough knowledge of the relevance of patient characteristics and a comprehensive molecular characterization. Biomarker assessment to determine FGFR status is essential for treatment decision-making in advanced BC, moving the treatment paradigm towards individualized therapy. Several assays to identify FGFR alterations in tissue sample have been developed. FGFR3 mutations and FGFR3-TACC3 translocations have been

Conclusions and future perspectives

Cisplatin-based combination chemotherapy has historically been the standard of care for cisplatin eligible patients with locally advanced or metastatic BC. Table 4. Although cisplatin-based regimens are the optimal therapy, up to 50% of these patients are cisplatin-ineligible. For these latter patients, carboplatin plus gemcitabine is the preferred treatment. At the start of 2020, five ICIs (pembrolizumab, atezolizumab, nivolumab, durvalumab and avelumab) had been approved in the second-line

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

We thank Sarah MacKenzie PhD for writing assistance.

Funding

This work was supported by the Vall d́Hebron Institute of Oncology. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Financial disclosure

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript.

Authors Contributions

Conceptualization and design: Rafael Morales-Barrera, Cristina Suárez, Juan Morote and Joan Carles.

Acquisition/investigation of data: Rafael Morales-Barrera, Macarena González, Claudia Valverde, Ester Serra, Joaquín Mateo.

Analysis and interpretation of data: Rafael Morales-Barrera, Cristina Suárez, Macarena González, Claudia Valverde, Ester Serra, Joaquín Mateo, Carles Raventos, Xavier Maldonado, Juan Morote and Joan Carles.

Writitng, review, and/or revision of the manuscript: Rafael

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