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Review

FGFR Fusions in Cancer: From Diagnostic Approaches to Therapeutic Intervention

by
Antonella De Luca
1,
Riziero Esposito Abate
1,
Anna Maria Rachiglio
1,
Monica Rosaria Maiello
1,
Claudia Esposito
1,
Clorinda Schettino
2,
Francesco Izzo
3,
Guglielmo Nasti
4 and
Nicola Normanno
1,*
1
Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, 80131 Naples, Italy
2
Clinical Trials Unit, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, 80131 Naples, Italy
3
Division of Surgical Oncology, Hepatobiliary Unit, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, 80131 Naples, Italy
4
SSD Innovative Therapies for Abdominal Cancers, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, 80131 Naples, Italy
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2020, 21(18), 6856; https://0-doi-org.brum.beds.ac.uk/10.3390/ijms21186856
Submission received: 31 July 2020 / Revised: 15 September 2020 / Accepted: 15 September 2020 / Published: 18 September 2020
(This article belongs to the Special Issue FGF/FGFR Signaling Pathway in Development and Human Diseases)
Browse Figure
Review Reports Versions Notes

Abstract

:
Fibroblast growth factor receptors (FGFRs) are tyrosine kinase receptors involved in many biological processes. Deregulated FGFR signaling plays an important role in tumor development and progression in different cancer types. FGFR genomic alterations, including FGFR gene fusions that originate by chromosomal rearrangements, represent a promising therapeutic target. Next-generation-sequencing (NGS) approaches have significantly improved the discovery of FGFR gene fusions and their detection in clinical samples. A variety of FGFR inhibitors have been developed, and several studies are trying to evaluate the efficacy of these agents in molecularly selected patients carrying FGFR genomic alterations. In this review, we describe the most frequent FGFR aberrations in human cancer. We also discuss the different approaches employed for the detection of FGFR fusions and the potential role of these genomic alterations as prognostic/predictive biomarkers.

1. Introduction

Fibroblast growth factor receptors (FGFRs) are highly conserved tyrosine kinase receptors that play an important role in human cancer. Following the binding of growth factors of the fibroblast growth factor (FGF) family, FGFRs dimerize and activate intracellular signaling pathways responsible of cellular proliferation and survival [1]. The FGFR system regulates several crucial developmental processes, including the induction of organogenesis and morphogenesis, and homeostatic processes in adult tissues, such as repair and remodeling [2]. Aberrant activation of FGFRs is observed in different cancer types and plays a role in tumor development and progression. Deregulated FGFR signaling results from different mechanisms. Overexpression of FGFRs might occur either in the presence or absence of genetic alterations (i.e., gene amplification). Mutations (single nucleotide variants, SNVs) of FGFRs have been described in different tumor types. Aberrant activation of FGFRs might also be driven by autocrine and paracrine circuits supported by increased synthesis and release of FGFR ligands [3]. Chromosomal rearrangements leading to FGFR gene fusions have been also found to be involved in the pathogenesis of human cancer.
Gene fusions are hybrid genes that originate from the chromosomal rearrangement of two genes, in the form of translocation, insertion, inversion, and deletion [4]. Fusion events, which involve a variety of partner genes, result in the formation of fusion proteins capable of oncogenic transformation and induction of oncogene addiction. The discovery of targetable fusions and the improvement of techniques used for detecting these alterations allowed the development of specific therapies for the treatment of fusion-driven tumors [5].
The growing therapeutic relevance of FGFR alterations, including fusions, in different cancer types has greatly supported the development of a variety of novel agents along with the improvement of diagnostic tests. In this review, we will focus on the biology of the FGFR system and on the frequency of FGFR aberrations in human cancer. We will also describe the different approaches employed for the detections of fusions and the potential role of these genomic alterations as prognostic/predictive biomarkers.

2. The FGFR/FGF System

The FGFR family comprises four highly conserved tyrosine kinase receptors (RTKs): FGFR1, FGFR2, FGFR3, and FGFR4, consisting of three extracellular immunoglobulin (Ig)-type domains (D1–D3), a single transmembrane domain, and a cytoplasmic tyrosine kinase domain [6]. A unique characteristic of FGFRs is the presence of an acidic, serine-rich sequence, termed the acid box, in the linker region between D1 and D2. The D2–D3 region is necessary for ligand binding and specificity. The D1 domain and the acid box seem to play a role in FGFR autoinhibition [7]. A fifth member of the FGFR family has been discovered, termed fibroblast growth factor receptor-like 1 (FGFRL1/FGFR5), which interacts with heparin and FGF ligands [8]. Like the other members of the FGFR family, FGFR5 consists of three extracellular Ig-like domains and a single transmembrane helix, but it lacks the tyrosine kinase domain, which is replaced by a short intracellular tail with a peculiar histidine-rich motif [9]. The biological function of FGFR5 is unclear. A recent study suggested that it functions as a cell–cell adhesion protein, acting as a tumor suppressor gene [10].
Alternative splicing in the D3 domain of FGFR1, 2, and 3, generates isoforms IIIb and IIIc with different FGF-binding specificity. The IIIb isoforms are predominantly expressed in epithelial tissues, whereas IIIc isoforms are expressed in mesenchymal tissues. Alternative splicing and switching from epithelial to mesenchymal isoforms are involved in the epithelial-to-mesenchymal transition and in tumor progression [11]. In this regard, genomic rearrangements leading to the generation of fusion proteins might also alter the splicing of FGFR isoforms. However, no data on the involvement of this phenomenon in the growth of cancer addicted to FGFR fusions are available. Soluble splice variants of FGFR4 have been recently described, although further studies are required to better define the biological functions of these isoforms [12,13].
The FGF family of proteins is composed of 18 ligands (FGF1–FGF10 and FGF16–FGF23). Members of five of the six subfamilies act as paracrine factors, whereas members of the FGF19 subfamily (FGF19, FGF21, and FGF23) work in an endocrine fashion [7]. Four FGF homologous factors (previously indicated as FGF11–FGF14) fail to activate any FGFRs and are not considered members of the FGF family [14], whereas FGF15 is the mouse orthologue of FGF19. FGF ligands interact with heparan sulfate proteoglycans that are present both at the cell surface and in the pericellular and extracellular matrix. Heparan sulfate proteoglycans are obligatory cofactors of paracrine FGFs for FGFR activation, whereas endocrine FGFs preferentially require Klotho proteins as co-receptors to initiate FGFR signaling [15].
Ligand binding to the receptor induces FGFR dimerization and the subsequent phosphorylation of the tyrosine kinase domain. Activation of the receptor promotes the phosphorylation of intracellular substrates, including FGFR substrate 2α (FRS2α) and phospholipase Cγ1 (PLCγ1). FRS2α activates RAS/MEK/ERK and PI3K/AKT signaling pathways that regulate cell proliferation and survival, whereas PLCγ1 stimulates cell motility through the activation of protein kinase C (PKC) and calcium-dependent proteins [2]. Other pathways are activated by FGFRs, including JAK/STAT, p38MAPK, Jun N-terminal kinase, and RSK2 [16]. Different negative regulators, including Sprouty proteins and MAPK phosphatase 3 attenuate FGFR signaling [6].

3. Genetic Alterations of FGFRs in Human Cancers

Deregulated FGFR signaling is observed in various tumor types. A recent study that analyzed the FGFR genomic alterations in 4853 tumor samples by next-generation sequencing (NGS), described the presence of FGFR alterations in 7.1% of cases [17]. Genetic aberrations of FGFR1 are more frequently observed in human cancers (2.86%), followed by alterations in FGFR3 (2.21%), FGFR2 (1.77%), and FGFR4 (1.54%).

3.1. FGFR Amplifications and Mutations

Gene amplifications are the most frequent FGFR alterations reported in human cancers accounting for 66% of all FGFR aberrations [17]. Gene amplification often leads to the overexpression of FGFR proteins, resulting in the aberrant activation of the receptors and an increased downstream signaling [1]. FGFR1 is the most commonly amplified gene (2.25%) [18]. FGFR1 amplification is frequently observed in breast, lung, and colon cancer [18]. FGFR2 amplification is less frequent (0.34%) and has been described in some cancer types, including breast, gastric, and esophageal carcinoma [18]. FGFR3 gene amplification (0.31%) has been observed in breast carcinoma, bladder carcinoma, glioblastoma multiforme, pancreatic cancer, and lung adenocarcinoma. FGFR4 amplification is rare (0.16%).
FGFR mutations are less frequent than FGFR amplifications, representing 26% of the aberrations detected in FGFR-altered tumors [17]. FGFR mutations can affect the extracellular or the transmembrane or the kinase domains of FGFRs and result in a deregulated FGFR signaling through various mechanisms, including the increased kinase activation, the reduced degradation of the receptor, or the abnormal receptor dimerization [1,16]. Mutations in FGFR1 have been observed in 1.12% of cases, with a prevalence in lung, colon, breast, endometrial adenocarcinoma, and glioblastoma multiforme. The most frequent FGFR1 activating mutation is the N546K (0.12%) [18] in the kinase domain of the receptor that alters the tyrosine auto-phosphorylation with an increased kinase activation [19]. Mutations in FGFR2 and FGFR3 are more frequent (1.36% and 1.83%, respectively) [18]. The most common FGFR2 activating mutations are the S252W mutation in the extracellular domain (0.17%), the N549K mutation in the tyrosine kinase domain (0.06%), and the C382R mutation affecting the transmembrane domain of the receptor (0.06%) [18]. The most frequent FGFR3 activating mutation is the S249C missense mutation that resides in the extracellular domain of the receptor (0.54%) [18]. This mutation induces ligand-independent dimerization and constitutive phosphorylation of the receptor [20]. The FGFR3 S249C mutation is relatively frequent in bladder cancer (66.6%) [21]. FGFR4-activating mutations are rare and are detected in some pediatric tumors, such as rhabdomyosarcoma [22]. A novel oncogenic mutation of FGFR4 (G636C) has been recently discovered in gastric cancer [23].

3.2. FGFR Family Gene Fusions

FGFR fusions have been described in several tumor types, although the incidence is low (8%) [17]. FGFR fusions can be classified into type I or type II fusions. In type I fusions, where the FGFR is the 3′ fusion partner, the extracellular and the transmembrane domains are excluded from the fusion protein, which includes only the FGFR kinase domain linked to the 5′ protein partner. In type II fusions, with the FGFR as the 5′ fusion gene, the breakpoint usually occurs in exons 17, 18, or 19, and the extracellular, the transmembrane, and the kinase domain remain intact [16]. In both types of fusion proteins, the diverse FGFR fusion partners contribute with specific domains that favor the dimerization, including the coiled-coil, the SPFH, the sterile alpha motif (SAM), the LIS1-homologous (LisH), the IMD, and the caspase domains [24]. Such ligand-independent increased dimerization provides oncogenic potential to the FGFR fusion protein. Fusion genes between FGFR1–2–3 and multiple partners have been identified in several tumor types (Table 1). It is rare to find FGFR fusions together with FGFR mutations, suggesting that the presence of unique alterations is sufficient to drive cancer progression.
FGFR1 fusions are rare in solid tumors. A FGFR1–HOOK3 gene fusion has been observed in gastrointestinal stromal tumor (GIST) [25]. FGFR1–TACC1 was detected in GIST, in grade II IDH wild-type glioma, and in glioblastoma [25,26,27], whereas FGFR1–ZNF703 was detected in breast cancer [28]. These fusions involve the N-terminus of the FGFR1 protein and the coiled coil of the fusion partners to induce activation of the receptor and downstream signaling. The FGFR1–NTM fusion, whose functional effect is unknown, was detected in bladder urothelial carcinoma [17,29]. BAG4–FGFR1 was identified in non-small cell lung cancer (NSCLC) [30,31].
FGFR2 fusions are the most frequent FGFR fusions [17]. As compared with the other member of the FGFR family, FGFR2 had several reported partners and FGFR2 fusions are particularly common in cholangiocarcinoma. In this regard, FGFR2–AHCYL, FGFR2–BICC1, FGFR2–PPHLN1, and FGFR2–TACC3 fusions have been frequently described in patients with intrahepatic cholangiocarcinoma, although over 100 different FGFR2 partners have been reported in this disease [32,33,34,35,36,37,38]. These fusions activate the canonical FGFR signaling and possess oncogenic activity [37,39]. The FGFR2–CCDC6 fusion has been demonstrated to induce cancer cell proliferation and tumorigenesis in vivo [38,40]. Several other partners involved in FGFR2 fusion genes, whose biological activity has not been fully characterized, have been described in cholangiocarcinoma, including KIAA1217, KIAA1598, DDX21, LAMC1, NRAP, NOL4, PHC1, RABGAP1L, RASAL2, ROCK1, TFEC, AFF4, CELF2, DCTN2, DNAJC12, DZIP1, FOXP1, INA, KCTD1,LGSN, LPXN, MYPN, PRKN, PCM1, RNF41, SH3GLB1, STK3, SORBS1, TBC1D1, and UBQLN1 [33,34,35].
FGFR2–BICC1 has been also identified in colorectal cancer and hepatocarcinoma, although with low frequency [32]. Two FGFR2–KIAA1598 fusions and other FGFR2 fusions with novel partners (CIT, ERC1, LZTFL1, POC1B, SORBS1, TP73, TXLNA) have been recently identified in a large cohort (n = 26054) of lung cancer patients [31].
FGFR3 fusions are more commonly observed in glioblastoma, bladder, and lung cancer [18]. The majority of FGFR3 fusions are with transforming acidic coiled-coil 3 (TACC3) and result from the in-frame fusion of the FGFR3 N-terminus with the TACC3 C-terminus [27]. TACC3 protein has a coiled-coil domain at the C terminus and is involved in mitotic spindle assembly and stability [41]. FGFR3–TACC3 fusions have been described in different tumor types, including glioma, lung cancer, bladder cancer, head and neck squamous cancer, lung squamous cell carcinoma, and cervical cancer [26,27,30,31,38,42,43]. The FGFR3–TACC3 fusion protein induces a constitutive activation of the tyrosine kinase domain with the consequent activation of MEK/ERK and STAT1 signaling, but not PLCγ1, as the tyrosine residue in exon 19, responsible for the interaction with PLCγ1, is lost [38,42]. The FGFR3–TACC3 protein also induces mitotic and chromosomal segregation defects and generates aneuploidy [27]. The presence of the FGFR3–TACC3 fusion increased the proliferation of cancer cell lines [27,38] and induced tumorigenesis in mice [27].
Among other FGFR3 fusions, FGFR3–BAIAP2L1 has been described in bladder and lung cancer [42,44]. FGFR3–BAIAP2L1 fusion promotes the constitutive activation of FGFR3 signaling with a potent oncogenic activity [42,44]. Other fusion partners of FGFR3 include AES, ELAVL3, JAKMIP1, TNIP2, and WHSC1 [5,17].
Recently, FGFR4 fusions (ANO3–FGFR4, NSD1–FGFR4) have been identified in NSCLC patients [31].

4. Approaches to Detect FGFR Fusions in Clinical Diagnostics

Since the discovery of the first chromosomal rearrangements in hematologic malignancies using chromosomal-banding techniques, technological advancements have enabled the detection of a wide number of gene fusions in many tumor types [4,5,45,46]. The development of fluorescence in situ hybridization (FISH) technique in combination with cytogenetics allowed the simultaneous visualization of different chromosome structures in different colors, significantly improving the localization of chromosomal breakpoints. This approach employs fluorescently labeled DNA probes that bind to specific complementary target sequences. Detection of the signals is performed by fluorescence microscopy [47]. In particular, the break-apart FISH assay allows the identification of gene translocations using probes specific for loci that are physically close in the wild-type configuration. The wild-type signal pattern shows two pairs of closely approximated or fused signals, whereas the two colors split apart when a translocation occur [48].
As compared to standard cytogenetics, FISH analyses do not require living cells; can be easily performed on clinical formalin-fixed, paraffin-embedded (FFPE) samples; and are a technique with a relatively fast turnaround time. However, the resolution is low, and complex rearrangements are not usually easily detectable. Intrachromosomal rearrangements, which account for about 50% of FGFR2 fusions in intrahepatic cholangiocarcinoma, can also lead to false-negative results of FISH analysis. In addition, the analysis is mainly restricted to the detection of DNA. FISH analysis, using break-apart probes, has been frequently used to detect FGFR fusions in clinical samples [36,44]. Recently, a novel RNA-FISH assay allowed the detection of FGFR3–TACC3 fusions in bladder cancer [49].
Immunohistochemistry can also detect fusions when rearrangements lead to overexpression of the kinase. Immunohistochemistry is inexpensive and provides information about specific fusions by protein localization, but this approach has a very low sensitivity in identifying rare fusions. So far, no immunohistochemistry method has been proven to have sufficient sensitivity and specificity to detect FGFR fusions [30].
The introduction of NGS technologies, able to identify different types of genomic alterations, including fusions either at DNA or RNA level in a single experiment, allowed the discovery of about the 90% of about 10,000 known gene fusions [4]. Among the NGS analytical strategies, whole-genome sequencing (WGS) has the advantage of identifying a large number of rearrangements and characterize breakpoints, including those in non-coding regions, and it is particularly useful for the discovery of novel fusions. However, this approach is very expensive and time consuming, due to the large quantity of data generated and computational analyses. Whole-exome sequencing (WES) is less suitable than WGS, as it can detect few rearrangements with breakpoints in or near exons [50]. Instead, whole-transcriptome sequencing has been used for the discovery of several gene fusions in different cancer types [32,51]. As compared with WGS, RNA-based testing is more sensitive, efficient, and functionally definitive considering that, although many rearrangements might be present in the genome of tumor samples, only few produce transcripts. A next-generation transcriptome approach was indeed used for the discovery of the first FGFR family gene fusion, FGFR3–TACC3 in glioblastoma multiforme [27]. However, whole-transcriptome analysis is quite expensive, requires personnel with expertise in bioinformatics for data analysis and interpretation, and is not applicable for routine clinical-grade testing.
Targeted sequencing approaches that allow the isolation and sequencing of subsets of genes or regions of the entire genome can detect fusions in a more focused manner. This strategy is a sensitive approach in detecting fusions, as the sequencing coverage is higher than that of WGS. In addition, targeted sequencing is a suitable approach for detecting fusions in clinical diagnostics, as it can investigate DNA and/or RNA and does not require extensive validation of the method, being available several CE-IVD panels (Table 2). DNA-based methods have the advantage that DNA is more stable than RNA, but the detection of novel fusions might be limited, especially when large intronic regions are involved. RNA-based methods are able to distinguish in-frame, transcribed gene fusions versus out-of-frame fusions and avoid difficulties of sequencing large intronic regions. The main weaknesses of RNA-based methods are that the sensitivity depends on the fusion expression level and that RNA is less stable than DNA, especially when FFPE samples are used.
Different approaches are currently available for detecting fusions, i.e., hybrid capture-based methods, amplicon-based approaches, and anchored multiplex PCR (Table 2). Hybridization-capture methods use sequence-specific probes complementary to a specific region of interest that are longer than PCR primers, making it possible to sequence target regions and regions flanking the target. As compared to amplicon-based approaches, hybridization-based strategies are less likely to miss variants, although the detection of fusions might be challenging if introns are long (Figure 1). Amplicon-based enrichment methods use primers specific to known fusion partners and allow the detection of fusions starting from a very low input (≥10 ng) of RNA. This approach can be suitable also for degraded RNA commonly derived from FFPE clinical samples. Other advantages include a simplified workflow, a reduced complexity of data analysis, and a short time for test execution. However, amplicon-based methods limit the discovery of novel fusions, without a prior knowledge of potential partners. A number of FGFR fusions have been detected in clinical samples using these approaches [31,33].
A recent strategy used for target enrichment of RNA libraries for NGS is the anchored multiplex PCR, for example, using the Archer FusionPlex chemistry that uses gene-specific primers anchored to an exon–intron boundary and universal reverse primers that permit the amplification of both known and unknown genomic regions of interest (Table 2 and Figure 1). The main advantage of this technology is the enrichment of a target region with knowledge of only one of its ends [52]. In particular, this method allows the detection of any fusion partner, even if only one of the fusion partners is known, and gives information on the imbalance between 5′ expression and 3′ expression, a phenomenon frequently observed in samples positive for fusions involving a driver gene. Anchored multiplex PCR has been recently used to identify various FGFR2 fusions in cholangiocarcinoma clinical samples [53].

5. Prognostic Significance of FGFR Fusions

The improvement of diagnostic strategies for detection of FGFR alterations allowed the identification of a number of FGFR fusions that might potentially predict the outcome of cancer patients. The prognostic role of FGFR fusions has mainly investigated in biliary tract cancer. In this regard, a study evaluated the presence of FGFR2 translocations in 152 cholangiocarcinoma and 4 intraductal papillary neoplasms of the bile duct by FISH [54]. Thirteen specimens were positive for FGFR2 translocations. The median cancer-specific survival interval for patients carrying FGFR2 translocations was significantly longer (123 months) than that for patients without FGFR2 translocations (37 months, P = 0.039) [54]. In a study in which 377 patients with biliary tract cancer were enrolled, 95 FGFR genetic alterations, including 63 FGFR2 fusions, were detected. Patients with FGFR alterations experienced significantly longer overall survival (OS) than patients without FGFR aberrations (37 vs. 20 months; P <0.001) [35]. In a recent study in patients with fluke associated-intrahepatic cholangiocarcinoma, the presence of rare FGFR2 fusions indicated a trend toward better OS compared with that of fusion-negative tumors, although the difference was not statistically significant [53]. The presence of FGFR genomic alterations, including FGFR2 fusions genes identified by NGS in 55 patients with intrahepatic cholangiocarcinoma, has been associated with an indolent disease course and prolonged survival [55]. However, in this study, FGFR2 fusions have been reported only in three patients. Interestingly, one patient with an FGFR2–NOL4 fusion and a co-existing BAP1 mutation had a rapidly progressive course [55]. In the study of Arai et al. in which seven FGFR2–AHCYL1-positive and two FGFR2–BICC1-positive intrahepatic cholangiocarcinomas were identified, no significant differences in term of prognosis between fusion-positive and -negative patients were observed [32]. In this study, KRAS and BRAF mutations were mutually exclusive with FGFR2 fusions.
The prognostic significance of FGFR1–3 fusions was explored in NSCLC. In a study in which 1328 NSCLC patients were enrolled, 17 had FGFR fusions (2 BAG4–FGFR1 and 15 FGFR3–TACC3) [30]. No significant differences in relapse-free survival (RFS) or OS were observed between patients with FGFR-fusion-positive and FGFR-fusion-negative tumors [30].

6. FGFR Fusions as Therapeutic Target for Solid Tumors

Even though FGFR fusions are rare in human cancers, the field of therapies targeting these molecular alterations has exponentially progressed, thanks to development of a number of novel compounds, including non-selective and selective tyrosine kinase inhibitors (TKIs).
The first anti-FGFR agents were multi-kinase non-selective inhibitors (e.g., dovitinib, lenvatinib, lucitanib, nintedanib, derazantinib, and ponatinib) that, in addition to inhibit FGFRs, are active against different tyrosine kinases, including VEGFRs, RET, KIT, and PDGFRs, due to the similarity of the intracellular tyrosine kinase domains (Table 3). However, these compounds lack specificity and potency for treatment of FGFR-driven tumors, with an increased risk of adverse events at the doses required for FGFR inhibition. In this regard, the occurrence of several adverse events, including cardiovascular effects, have been reported [56,57,58]. Different clinical trials of non-selective TKIs are ongoing in patients with FGFR alterations (Table 3). Few studies reported some activity of these agents in FGFR-driven tumors. In this regard, in a study of dovitinib in 13 patients with Bacillus Calmette–Guerin (BCG)-refractory urothelial carcinoma and FGFR3 alterations, three patients had FGFR3 mutations [58]. The response rate (RR) was 8% with only one complete response (CR) in a patient carrying the FGFR3 S249C mutation. All patients experienced grade 3–4 toxicity [58]. In a clinical study in FGFR2-mutant or wild-type endometrial cancer patients treated with dovitinib, the RR in the FGFR2 mutant group was 5% (11% for all patients); only 1/22 FGFR2 mutant patients achieved a partial response (PR) [57]. Treatment with derazantinib produced an overall RR (ORR) of 20.7%, a disease control rate (DCR) of 82.8%, and a median progression-free survival (PFS) of 5.7 months in patients with advanced, unresectable intrahepatic cholangiocarcinoma and FGFR2 fusions who progressed after chemotherapy [59]. In a phase I/II trial of lucitanib, the clinical activity of the drug was evaluated in an expansion cohort of 23 patients with FGFR-aberrant tumors. The RR was 30.4% with a PFS of 32.1 weeks [60].
More recently, inhibitors that reversibly or irreversibly bind to the adenosine triphosphate (ATP) pocket of FGFRs and selectively inhibit the activity of the receptors have been developed.
Only two selective FGFR-TKIs have been approved up to now by the Food and Drug Administration (FDA) for the treatment of FGFR-driven cancer. In particular, erdafitinib has been approved for the treatment of patients with locally advanced or metastatic urothelial carcinoma with FGFR3 or FGFR2 genetic alterations, including R248C, S249C, G370C, and Y373C mutations and FGFR3–TACC3 fusions, on the basis of the BLC2001 trial [61]. In this phase 2 study that enrolled 99 patients with advanced urothelial carcinoma carrying FGFR3 or FGFR2/3 genomic alterations, an RR of 40%, with 3% of patients obtaining a CR, was observed. In the subgroup of 25 patients with FGFR fusions, the RR was 16% [61]. Pemigatinib was granted FDA-accelerated approval in April 2020 for the treatment of cholangiocarcinoma patients with FGFR2 fusions or rearrangements. The efficacy of the drug was evaluated in the FIGHT-202 study in 107 patients with cholangiocarcinoma and FGFR2 gene fusions. The ORR was 35.5%, including 3 CRs. No CRs or PRs were observed in patients with other FGF/FGFR alterations or no FGF/FGFR alterations [62].
A number of different reversible competitive inhibitors directed against multiple FGFRs (e.g., erdafitinib, pemigatinib, infigratinib, rogaratinib, AZD4547, Debio1347) are in clinical development in patients with hematologic and solid tumors who carry FGFR alterations (Table 4). FGFR4 selective agents (fisogatinib, H3B-6527, and FGF401) are also under investigation.
The majority of FGFR selective inhibitors are under evaluation in clinical trials in which only patients harboring FGFR genomic alterations are enrolled (Table 4). In a phase II trial of AZD4547 in patients with advanced cancers with FGFR1–3 aberrations, PRs were observed in 4 of 48 (8%) patients, including 2 patients with FGFR mutations and 2 with FGFR3–TACC3 fusions [63]. The estimated median PFS was 3.4 months. The 6-month PFS rate was low for patients with FGFR amplifications (0%) and for patients carrying FGFR mutations (6%) and higher for patients with FGFR fusions (56%). Three of nine patients with FGFR fusions had a PFS > 10 months [63]. In a multicenter, open label, phase II study on infigratinib in chemotherapy-refractory advanced or metastatic cholangiocarcinoma with FGFR alterations, including 48 FGFR2 fusions, all responsive cases harbored FGFR2 fusions [64]. The RR was 14.8 % and the DCR 75.4% (18.8% and 83.3% for patients with FGFR2 fusions, respectively). Reduced target lesion size in at least one disease evaluation was observed in 36/48 patients with tumors bearing FGFR2 fusions [64].
Only few studies with selective reversible FGFR-TKIs are planned in patients specifically carrying only FGFR fusions, presumably due to the low frequency of these alterations (Table 4).
In this regard, a study exploring the effects of AZD4547 is ongoing in patients with glioma and the FGFR3–TACC3 fusion (ClinicalTrials.gov Identifier: NCT02824133). Infigratinib is under evaluation in a phase III study as first-line treatment for patients with cholangiocarcinoma and FGFR2 gene fusions/translocations (ClinicalTrials.gov Identifier: NCT03773302) and in a phase I study in patients with high-grade glioma and FGFR3–TACC3 translocations (ClinicalTrials.gov Identifier: NCT04424966).
Irreversible inhibitors that covalently bind to a highly conserved P-loop cysteine residue in the ATP pocket of FGFRs have also been developed. Futibatinib is a potent and high selective, irreversible FGFR1–4 inhibitor [65] (Table 4). In a trial exploring futibatinib in previously treated cholangiocarcinoma patients with FGFR alterations, 20/28 patients carrying FGFR2 fusions experienced tumor shrinkage and 7/28 confirmed PR. The ORR was 25% and the DCR 79% [66]. The irreversible FGFR inhibitor futibatinib is currently under evaluation in a phase III clinical study in patients with advanced cholangiocarcinoma harboring FGFR2 gene rearrangements (ClinicalTrials.gov Identifier: NCT04093362).

7. Conclusions and Perspectives

Increasing evidence suggests that the FGFR system plays an important role in cancer development and progression. However, the results of clinical trials have clearly demonstrated that only tumors carrying genetic alterations of the FGFRs such as mutations or fusions might respond to treatment with FGFR inhibitors, at least when used as single agents. In this respect, targeted therapies for FGFR-aberrant tumors may offer an effective therapeutic strategy in some cancer types, such as cholangiocarcinoma, which is often diagnosed in advanced stages when only palliative treatment is available [67]. In the last years, the rapid improvement in the development of drugs targeting FGFR alterations, including fusions, combined with the availability of ever more efficient diagnostic tests, allowed the selection of patients who might benefit from FGFR inhibitors. However, some issues should be considered, such as the need of adequate tools for the detection of FGFR genetic alterations, the identification of the mechanisms of resistance to FGFR inhibitors and the possibility of performing clinical trials specifically for patients with rare alterations.
FGFR fusions are relatively rare genetic alterations. The introduction in clinical diagnostics of NGS panels for comprehensive genomic profiling allowed significant improvement in the detection of FGFR alterations [31,33,53]. However, most available targeted sequencing panels for the detection of FGFR fusions have some limits as we discussed in this review. In addition, lack of tumor tissue is still a limit to perform genomic profiling of patients with advanced disease. In this respect, analysis of circulating cell-free DNA (cfDNA) might represent an alternative approach in patients with no tissue available for genomic profiling [68]. Different targeted sequencing panels have been developed that allow the analysis of a large number of genes, including FGFRs, in cfDNA. Analysis of cfDNA for the detection of FGFR fusions might also serve as a non-invasive tool for monitoring patients undergoing FGFR-targeted therapies and for the identification of biomarkers of resistance. However, some technical issues, such as the low recovery of cfDNA, the low fraction of circulating tumor DNA (<0.1% to 50%) in cfDNA, the short half-life, and the high grade of fragmentation, should be resolved for implementing the clinical validity and utility of this approach [69].
Despite the encouraging results of FGFR inhibitors in clinical trials, mechanisms of acquired resistance with the occurrence of secondary mutations have been described, thus limiting the duration of the response. In particular, in three fusion-positive patients with cholangiocarcinoma treated with BGJ398, the emergence of a secondary FGFR2 kinase domain mutation in one patient and multiple FGFR2 mutations in the remaining two patients was observed [70]. Interestingly, one FGFR2 point mutation (p.V564F) was identified in all patients, suggesting a relevant role of this genomic alteration in the resistance to anti-FGFR agents [70]. A recent study in patients with fusion-positive intrahepatic cholangiocarcinoma who progressed on BGJ398 or Debio1347 revealed that treatment with the FGFR irreversible inhibitor futibatinib might overcome the acquired resistance to FGFR reversible inhibitors [71]. Prospective studies in a large population of patients might confirm these findings.
Finally, it is important to consider that FGFR fusions occur at low frequency in human tumors [17]. The clinical development of targeted agents directed against rare alterations in a specific tumor type is difficult, due to the small number of patients who can be included in clinical studies. Basket trials, in which a sufficient number of patients with specific genetic alterations can be enrolled, regardless of the tumor type, are required, in order to study the significance of these alterations in a larger population and to offer a personalized treatment to patients carrying these rare genomic aberrations. In this respect, clinical trials are ongoing to explore the agnostic role of FGFR fusions as marker of response to drugs targeting the FGFR kinase.
In conclusion, the awareness that FGFR alterations, including fusions, play an important role in cancer has greatly enhanced the clinical development of FGFR inhibitors together with the improvement of NGS-based molecular tests. The design of basket trials might significantly improve the approval of FGFR agents for patients carrying FGFR fusions.

Author Contributions

Conceptualization, A.D.L. and N.N.; Writing—Original Draft Preparation, A.D.L. and N.N.; Writing—Review & Editing, R.E.A., A.M.R., M.R.M., C.E., C.S., F.I., G.N.; Supervision, N.N. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Italian Ministry of Health: M4/9 (A.D.L.) and M4/2 (N.N.)

Conflicts of Interest

N.N. reports personal fees from MSD, grants and personal fees from Qiagen, grants and personal fees from Biocartis, personal fees from Incyte, grants and personal fees from Roche, grants and personal fees from BMS, grants and personal fees from MERCK, grants and personal fees from Thermofisher, grants and personal fees from Boehringer Ingelheim, grants and personal fees from Astrazeneca, personal fees from Sanofi, personal fees from Eli Lilly, personal fees from Bayer, personal fees from ArcherDX, grants and personal fees from Illumina, and personal fees from Amgen, outside the submitted work. The other authors declare no conflict of interest.

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Ijms 21 06856 g001 550
Figure 1. DNA- and RNA-targeted sequencing approaches for detecting FGFR fusions. Hybrid capture methods use sequence specific probes complementary to a specific region of interest that are longer than PCR primers, whereas amplicon-based enrichment methods use primers specific to known fusion partners. The anchored multiplex PCR approach uses gene-specific primers and universal reverse primers that permit the amplification of both known and unknown genomic regions of interest. When DNA is used as starting material, hybrid capture probes can be designed to capture both exons and introns. RNA-based methods detect only functional transcripts, avoiding the difficulties of sequencing large intronic regions.
Figure 1. DNA- and RNA-targeted sequencing approaches for detecting FGFR fusions. Hybrid capture methods use sequence specific probes complementary to a specific region of interest that are longer than PCR primers, whereas amplicon-based enrichment methods use primers specific to known fusion partners. The anchored multiplex PCR approach uses gene-specific primers and universal reverse primers that permit the amplification of both known and unknown genomic regions of interest. When DNA is used as starting material, hybrid capture probes can be designed to capture both exons and introns. RNA-based methods detect only functional transcripts, avoiding the difficulties of sequencing large intronic regions.
Ijms 21 06856 g001
Table
Table 1. Most frequent fibroblast growth factor receptor (FGFR) fusions in solid tumors.
Table 1. Most frequent fibroblast growth factor receptor (FGFR) fusions in solid tumors.
Gene5′-Gene3′-GeneTumor TypeNo. of Cases Reported (Ref.)
FGFR1FGFR1HOOK3GIST1/186 [25]
FGFR1TACC1GIST1/186 [25]
Glioma1/795 [26]
Glioblastoma1/97 [27]
FGFR1ZNF703Breast cancer1/24 [28]
FGFR1NTMBladder urothelial carcinoma1/295 [29]
BAG4FGFR1Non-small cell lung cancer2/1328 [30]; 1/26,054 [31]
FGFR2FGFR2AHCYLCholangiocarcinoma7/102 [32]
FGFR2BICC1Cholangiocarcinoma2/102 [32]; 6/195 [34]; 8/377 [35]; 40/107 [37];
Colorectal cancer1/149 [32];
Hepatocarcinoma1/96 [32]
FGFR2PPHLN1Cholangiocarcinoma16/107 [37]
FGFR2TACC3Cholangiocarcinoma1/6 [36]
FGFR2CCDC6Cholangiocarcinoma3/377 [35]
FGFR2KIAA1598Non-small cell lung cancer2/26054 [31]
FGFR3FGFR3TACC3Glioblastoma2/97 [27]
Glioma20/795 [26]
Non-small cell lung cancer15/1328 [30]; 37/26,054 [31]
Bladder cancer3/2375 [38]
Head and neck squamous cancer2/2375 [38]
Lung squamous cell carcinoma4/2375 [38]
FGFR3BAIAP2L1Bladder cancer1/2375 [38]; 2/46 [44]
Lung cancer2/83 [44]
GIST, gastrointestinal stromal tumor.
Table
Table 2. Commercially available targeted sequencing kits for fusion detection.
Table 2. Commercially available targeted sequencing kits for fusion detection.
TechnologyKitSample Nucleic Acid InputNo. of Genes No. of Fusion Genes
Hybrid Capture-basedFoundationOneCDx (Foundation Medicine)FFPEDNAModerate (≥50 ng FFPE RNA)32436, including FGFR1–3
TruSight Tumor 170 (Illumina) FFPEDNA/RNAModerate (≥40 ng FFPE DNA/RNA)17055, including FGFR1–4
TruSight Oncology 500
(Illumina)		FFPEDNA/RNAModerate (≥40 ng FFPE DNA/RNA)52355, including FGFR1–4
Amplicon-basedOncomine comprehensive assay (Thermofisher)FFPEDNA/RNALow (≥10 ng FFPE DNA/RNA)16151, including FGFR1–3
Oncomine Focus Assay (Thermofisher)FFPEDNA/RNALow (≥10 ng FFPE DNA/RNA)5223, including FGFR1–3
Anchored multiplex PCR-basedFusionPlex Oncology Research(ArcherDX)Fresh, frozen, and FFPERNAModerate (≥50 ng § FFPE RNA)7575¥, including FGFR1–3
FusionPlex Solid Tumor (ArcherDX)Fresh, frozen, and FFPERNAModerate (≥50 ng § FFPE RNA)5353 ¥, including FGFR1–3
FusionPlex Comprehensive Thyroid and Lung (CTL) (ArcherDX)Fresh, frozen, and FFPERNAModerate (≥50 ng § FFPE RNA)3616 ¥, including FGFR1–3
FusionPlex Lung (ArcherDX)Fresh, frozen, and FFPERNAModerate (≥50 ng § FFPE RNA)1413 ¥, including FGFR1–3
Abbreviations: FFPE formalin-fixed, paraffin-embedded; § recommended input in the absence of PreSeq screening; ¥ fusion, splicing, or exon-skipping.
Table
Table 3. Clinical trials of non-selective FGFR inhibitors in patients with solid tumors and FGFR genetic alterations.
Table 3. Clinical trials of non-selective FGFR inhibitors in patients with solid tumors and FGFR genetic alterations.
CompoundTargetEligibility on the Basis of FGFR AlterationsTumor TypePhaseClinicalTrial Identifier
DovitinibFGFR1–2–3; VEGFR1–2–3; PDGFRβFGFR3 mutation/over-expressionBCG refractory urothelial carcinomaIINCT01732107
FGFR mutation/ amplification/ translocationSolid and hematologic tumorsIINCT01831726
FGFR2 amplificationMetastatic or unresectable gastric cancerIINCT01719549
FGFR2 mutation or FGFR2 wild typeAdvanced and/or metastatic endometrial cancerIINCT01379534
LucitanibFGFR1–2–3; VEGFR 1–2–3; PDGFRα-β; CSF1RFGFR 1–3 gene fusion/activating mutationAdvanced/metastatic lung cancerIINCT02109016
FGFR aberrationsAdvanced cancersIINCT02747797
FGFR1 amplification or FGFR1 wild typeEstrogen receptor-positive metastatic breast cancerIINCT02053636
NintedanibFGFR1–2–3; VEGFR 1–2–3; PDGFRα-βFGFR 1–3 alterationsAdvanced non-small cell lung cancerIINCT02299141
FGFR3 mutation/ overexpression or FGFR3 wild typeAdvanced urothelial carcinomaIINCT02278978
PonatinibFGFR1, VEGFR2; BCR–ABL, SRC; KIT; PDGFRαFGFR mutation/ fusion/amplificationAdvanced cancersIINCT02272998
FGFR2 fusionAdvanced biliary cancerIINCT02265341
DerazantinibFGFR1–3, CSF1R, RET; KIT; PDGFRβFGFR aberrationsAdvanced urothelial cancerI/IINCT04045613
FGFR genetic alterationsAdvanced solid tumorsI/IINCT01752920
FGFR2 fusion/ mutation/amplificationInoperable or advanced intrahepatic cholangiocarcinomaIINCT03230318
BCG, Bacillus Calmette–Guerin.
Table
Table 4. Clinical trials with selective FGFR inhibitors.
Table 4. Clinical trials with selective FGFR inhibitors.
DrugTargetTumor TypePhaseStatusClinical Trial Identifier
Reversible FGFR inhibitors
Erdafitinib (JNJ-42756493)FGFR1–4FGFRaberrant advanced refractory solid tumors, lymphomas, or multiple myelomaIIrecruitingNCT02465060
FGFR-aberrant urothelial cancerIIactiveNCT02365597
FGFR-aberrant advanced squamous non-small-cell lung carcinoma IIrecruitingNCT03827850
FGFR-aberrant urothelial cancerIIIrecruitingNCT03390504
ER+/HER2-/FGFR-amplified metastatic breast cancerIrecruitingNCT03238196
FGFR-aberrant advanced non-small-cell lung cancer, urothelial cancer, esophageal cancer, or cholangiocarcinomaIIrecruitingNCT02699606
Advanced solid tumor with FGFR mutation or gene fusionIIrecruitingNCT04083976
Pemigatinib (INCB054828)FGFR1–3FGFR-aberrant advanced solid malignanciesI/IIrecruitingNCT02393248
FGFR3 mutant or rearranged metastatic or unresectable urothelial carcinomaIIrecruitingNCT04003610
FGFR2 rearranged unresectable or metastatic cholangiocarcinomaIIIrecruitingNCT03656536
FGFR-aberrant unresectable advanced, relapsed, or metastatic solid tumorsInot yet recruitingNCT04258527
FGFR-aberrant metastatic or unresectable colorectal cancerIInot yet recruitingNCT04096417
FGFR-aberrant metastatic or surgically unresectable urothelial carcinoma IIrecruitingNCT02872714
Locally advanced/metastatic or surgically unresectable solid tumor malignancies with activating FGFR mutations or translocationsIIrecruitingNCT03822117
High-risk patients with urothelial carcinoma with activating FGFR mutations or translocationsIInot yet recruitingNCT04294277
Infigratinib (BGJ398)FGFR1–3Advanced or metastatic cholangiocarcinoma with FGFR2 gene fusions or translocations or other FGFR genetic alterationsIIrecruitingNCT02150967
Invasive urothelial carcinoma and FGFR3 genetic alterations IIIrecruitingNCT04197986
Advanced or metastatic solid tumors with FGFR1–3 gene fusions or other FGFR genetic alterationsIIRecruitingNCT04233567
Unresectable locally advanced or metastatic cholangiocarcinoma with FGFR2 gene fusions/translocationsIIIrecruitingNCT03773302
Recurrent high-grade glioma with FGFR1 K656E or FGFR3 K650E mutation or FGFR3–TACC3 translocationIrecruitingNCT04424966
Rogaratinib (BAY1163877)FGFR1–4Recurrent or metastatic squamous cell carcinoma of the head and neck with FGFR1/2/3 mRNA overexpressionIIrecruitingNCT03088059
Metastatic gastric cancer with FGFR mutation/fusionIInot yet recruitingNCT04077255
FGFR-positive locally advanced or metastatic urothelial carcinomaII/IIIactive, not recruitingNCT03410693
FGFR1–3-positive advanced squamous-cell non-small cell lung cancerIIrecruitingNCT03762122
AZD4547FGFR1–3FGFR-aberrant advanced refractory solid tumors, lymphomas, or multiple myelomaIIrecruitingNCT02465060
Muscle-invasive bladder cancer with FGFR mutations/fusionsIactive not recruitingNCT02546661
ER+ breast cancer patients with FGFR1 polysomy (FISH4/5) or gene amplificationI/IIcompletedNCT01202591
FGFR-aberrant squamous cell lung cancer II/IIIactive not recruitingNCT02965378
FGFR1-amplified squamous non-small-cell lung cancerI/IIcompletedNCT01824901
Recurrent malignant glioma expressing FGFR–TACC Gene FusionI/IIcompletedNCT02824133
Advanced refractory cancers/lymphomas/multiple myelomaIIactive not recruitingNCT04439240
DEBIO 1347 (CH5183284)FGFR1–3Solid tumors harboring a fusion of FGFR1, FGFR2, or FGFR3IIactive not recruitingNCT03834220
FGFR-amplified metastatic breast cancerI/IIrecruitingNCT03344536
FGFR-aberrant advanced solid tumors Iactive not recruitingNCT01948297
Irreversible FGFR inhibitors
Futibatinib (TAS-120)FGFR1–4FGFR-aberrant advanced or metastatic solid tumor, advanced or metastatic gastric or gastroesophageal cancer, myeloid or lymphoid neoplasms IInot yet recruitingNCT04189445
Advanced cholangiocarcinoma harboring FGFR2 gene rearrangementsIIInot yet recruitingNCT04093362
FGF/FGFR aberrant advanced solid tumorsI/IIactive, not recruitingNCT02052778

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De Luca, A.; Esposito Abate, R.; Rachiglio, A.M.; Maiello, M.R.; Esposito, C.; Schettino, C.; Izzo, F.; Nasti, G.; Normanno, N. FGFR Fusions in Cancer: From Diagnostic Approaches to Therapeutic Intervention. Int. J. Mol. Sci. 2020, 21, 6856. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms21186856

AMA Style

De Luca A, Esposito Abate R, Rachiglio AM, Maiello MR, Esposito C, Schettino C, Izzo F, Nasti G, Normanno N. FGFR Fusions in Cancer: From Diagnostic Approaches to Therapeutic Intervention. International Journal of Molecular Sciences. 2020; 21(18):6856. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms21186856

Chicago/Turabian Style

De Luca, Antonella, Riziero Esposito Abate, Anna Maria Rachiglio, Monica Rosaria Maiello, Claudia Esposito, Clorinda Schettino, Francesco Izzo, Guglielmo Nasti, and Nicola Normanno. 2020. "FGFR Fusions in Cancer: From Diagnostic Approaches to Therapeutic Intervention" International Journal of Molecular Sciences 21, no. 18: 6856. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms21186856

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