Skip to main content
Journal cover image

A model for decoding resistance in precision oncology: acquired resistance to FGFR inhibitors in cholangiocarcinoma.

Publication ,  Journal Article
Goyal, L; DiToro, D; Facchinetti, F; Martin, EE; Peng, P; Baiev, I; Iyer, R; Maurer, J; Reyes, S; Zhang, K; Majeed, U; Berchuck, JE; Chen, CT ...
Published in: Ann Oncol
April 2025

BACKGROUND: Fibroblast growth factor receptor (FGFR) inhibitors have significantly improved outcomes for patients with FGFR-altered cholangiocarcinoma, leading to their regulatory approval in multiple countries. As with many targeted therapies, however, acquired resistance limits their efficacy. A comprehensive, multimodal approach is crucial to characterizing resistance patterns to FGFR inhibitors. PATIENTS AND METHODS: This study integrated data from six investigative strategies: cell-free DNA, tissue biopsy, rapid autopsy, statistical genomics, in vitro and in vivo studies, and pharmacology. We characterized the diversity, clonality, frequency, and mechanisms of acquired resistance to FGFR inhibitors in patients with FGFR-altered cholangiocarcinoma. Clinical samples were analyzed longitudinally as part of routine care across 10 institutions. RESULTS: Among 138 patients evaluated, 77 met eligibility, yielding a total of 486 clinical samples. Patients with clinical benefit exhibited a significantly higher rate of FGFR2 kinase domain mutations compared with those without clinical benefit (65% versus 10%, P < 0.0001). We identified 26 distinct FGFR2 kinase domain mutations, with 63% of patients harboring multiple. While IC50 assessments indicated strong potency of pan-FGFR inhibitors against common resistance mutations, pharmacokinetic studies revealed that low clinically achievable drug concentrations may underly polyclonal resistance. Molecular brake and gatekeeper mutations predominated, with 94% of patients with FGFR2 mutations exhibiting one or both, whereas mutations at the cysteine residue targeted by covalent inhibitors were rare. Statistical genomics and functional studies demonstrated that mutation frequencies were driven by their combined effects on drug binding and kinase activity rather than intrinsic mutational processes. CONCLUSION: Our multimodal analysis led to a model characterizing the biology of acquired resistance, informing the rational design of next-generation FGFR inhibitors. FGFR inhibitors should be small, high-affinity, and selective for specific FGFR family members. Tinengotinib, a novel small molecule inhibitor with these characteristics, exhibited preclinical and clinical activity against key resistance mutations. This integrated approach offers a blueprint for advancing drug resistance research across cancer types.

Duke Scholars

Published In

Ann Oncol

DOI

EISSN

1569-8041

Publication Date

April 2025

Volume

36

Issue

4

Start / End Page

426 / 443

Location

England

Related Subject Headings

  • Receptors, Fibroblast Growth Factor
  • Receptor, Fibroblast Growth Factor, Type 2
  • Protein Kinase Inhibitors
  • Precision Medicine
  • Oncology & Carcinogenesis
  • Mutation
  • Middle Aged
  • Male
  • Humans
  • Female
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Goyal, L., DiToro, D., Facchinetti, F., Martin, E. E., Peng, P., Baiev, I., … Juric, D. (2025). A model for decoding resistance in precision oncology: acquired resistance to FGFR inhibitors in cholangiocarcinoma. Ann Oncol, 36(4), 426–443. https://doi.org/10.1016/j.annonc.2024.12.011
Goyal, L., D. DiToro, F. Facchinetti, E. E. Martin, P. Peng, I. Baiev, R. Iyer, et al. “A model for decoding resistance in precision oncology: acquired resistance to FGFR inhibitors in cholangiocarcinoma.Ann Oncol 36, no. 4 (April 2025): 426–43. https://doi.org/10.1016/j.annonc.2024.12.011.
Goyal L, DiToro D, Facchinetti F, Martin EE, Peng P, Baiev I, et al. A model for decoding resistance in precision oncology: acquired resistance to FGFR inhibitors in cholangiocarcinoma. Ann Oncol. 2025 Apr;36(4):426–43.
Goyal, L., et al. “A model for decoding resistance in precision oncology: acquired resistance to FGFR inhibitors in cholangiocarcinoma.Ann Oncol, vol. 36, no. 4, Apr. 2025, pp. 426–43. Pubmed, doi:10.1016/j.annonc.2024.12.011.
Goyal L, DiToro D, Facchinetti F, Martin EE, Peng P, Baiev I, Iyer R, Maurer J, Reyes S, Zhang K, Majeed U, Berchuck JE, Chen CT, Walmsley C, Pinto C, Vasseur D, Gordan JD, Mody K, Borad M, Karasic T, Damjanov N, Danysh BP, Wehrenberg-Klee E, Kambadakone AR, Saha SK, Hoffman ID, Nelson KJ, Iyer S, Qiang X, Sun C, Wang H, Li L, Javle M, Lin B, Harris W, Zhu AX, Cleary JM, Flaherty KT, Harris T, Shroff RT, Leshchiner I, Parida L, Kelley RK, Fan J, Stone JR, Uboha NV, Hirai H, Sootome H, Wu F, Bensen DC, Hollebecque A, Friboulet L, Lennerz JK, Getz G, Juric D. A model for decoding resistance in precision oncology: acquired resistance to FGFR inhibitors in cholangiocarcinoma. Ann Oncol. 2025 Apr;36(4):426–443.
Journal cover image

Published In

Ann Oncol

DOI

EISSN

1569-8041

Publication Date

April 2025

Volume

36

Issue

4

Start / End Page

426 / 443

Location

England

Related Subject Headings

  • Receptors, Fibroblast Growth Factor
  • Receptor, Fibroblast Growth Factor, Type 2
  • Protein Kinase Inhibitors
  • Precision Medicine
  • Oncology & Carcinogenesis
  • Mutation
  • Middle Aged
  • Male
  • Humans
  • Female