Prognostic Role of FGFR Alterations and FGFR mRNA Expression in Metastatic Urothelial Cancer Undergoing Checkpoint Inhibitor Therapy

Urology. 2021 Nov:157:93-101. doi: 10.1016/j.urology.2021.05.055. Epub 2021 Jun 19.

Abstract

Objective: To examine the disease-specific survival(DSS) after checkpoint inhibitor(CPI) therapy based on FGFR alterations and FGFR mRNA expression levels in patients with metastatic urothelial cancer(mUCa) within a multi-center cohort.

Methods: Within a cohort of 72 patients with mUCa from five academic centers in Germany FGFR alterations, as well as FGFR1-4 mRNA expression levels in tumor samples from the primary tumor or metastatic sites. Spearman rank correlations, logistic regression, as well as Kaplan-Meier survival analyses and univariate Cox proportional hazards regression models were employed to examine the impact of different FGFR patterns on the DSS after CPI treatment.

Results: FGFR3 mutations or gene fusions (gene alterations) were detected in 16.9% of all samples. Patients with or without FGFR3 gene alterations did not show different oncological outcomes undergoing CPI treatment. Low expression of FGFR2 mRNA alone, as well as the combination of either low FGFR2mRNA expression and FGFR3 gene alteration or high FGFR3mRNA expression (P = 0.027), identified a subgroup of patients with unfavorable outcomes, comprising 40% of the total cohort. This trend was also observed in univariate Cox proportional hazards regression analysis(FGFR3 gene alteration: Hazard ratio(HR) 5.33, 95%Confidence interval(CI)1.76-15.0, P = 0.004; FGFR3mRNA expression:HR 3.04, 95%CI 1.40-7.13, P = 0.005).

Conclusion: Assessment of FGFR mRNA expression identified a high-risk subgroup of patients with mUCa. These patients showing overexpression of FGFR3 mRNA were found to have unfavorable DSS after CPI treatment. Using this approach may be suitable for identifying a patient population with poor response to CPI treatment, which may benefit from early FGFR inhibition.

MeSH terms

  • Antibodies, Monoclonal, Humanized / therapeutic use
  • Antineoplastic Agents, Immunological / therapeutic use
  • Carcinoma, Transitional Cell / drug therapy*
  • Carcinoma, Transitional Cell / genetics
  • Carcinoma, Transitional Cell / metabolism*
  • Carcinoma, Transitional Cell / secondary
  • Female
  • Gene Expression
  • Gene Fusion
  • Humans
  • Immune Checkpoint Inhibitors / therapeutic use
  • Kaplan-Meier Estimate
  • Male
  • Mutation
  • Nivolumab / therapeutic use
  • Pilot Projects
  • Prognosis
  • Proportional Hazards Models
  • RNA, Messenger / metabolism
  • Receptor, Fibroblast Growth Factor, Type 1 / genetics
  • Receptor, Fibroblast Growth Factor, Type 1 / metabolism
  • Receptor, Fibroblast Growth Factor, Type 2 / genetics
  • Receptor, Fibroblast Growth Factor, Type 2 / metabolism
  • Receptor, Fibroblast Growth Factor, Type 3 / genetics
  • Receptor, Fibroblast Growth Factor, Type 3 / metabolism
  • Receptor, Fibroblast Growth Factor, Type 4 / genetics
  • Receptor, Fibroblast Growth Factor, Type 4 / metabolism
  • Receptors, Fibroblast Growth Factor / genetics*
  • Receptors, Fibroblast Growth Factor / metabolism*
  • Survival Rate
  • Urologic Neoplasms / drug therapy*
  • Urologic Neoplasms / genetics
  • Urologic Neoplasms / metabolism*
  • Urologic Neoplasms / pathology

Substances

  • Antibodies, Monoclonal, Humanized
  • Antineoplastic Agents, Immunological
  • Immune Checkpoint Inhibitors
  • RNA, Messenger
  • Receptors, Fibroblast Growth Factor
  • Nivolumab
  • atezolizumab
  • pembrolizumab
  • Receptor, Fibroblast Growth Factor, Type 1
  • Receptor, Fibroblast Growth Factor, Type 2
  • Receptor, Fibroblast Growth Factor, Type 3
  • Receptor, Fibroblast Growth Factor, Type 4