FGFR-TKI resistance in cancer: current status and perspectives
Open accessAbstract
Fibroblast growth factor receptors (FGFRs) play key roles in promoting the proliferation, differentiation, and migration of cancer cell. Inactivation of FGFRs by tyrosine kinase inhibitors (TKI) has achieved great success in tumor-targeted therapy. However, resistance to FGFR-TKI has become a concern. Here, we review the mechanisms of FGFR-TKI resistance in cancer, including gatekeeper mutations, alternative signaling pathway activation, lysosome-mediated TKI sequestration, and gene fusion. In addition, we summarize strategies to overcome resistance, including developing covalent inhibitors, developing dual-target inhibitors, adopting combination therapy, and targeting lysosomes, which will facilitate the transition to precision medicine and individualized treatment.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Dysregulated FGF-FGFR signaling participates in cancer development by activating MAPK, PI3K, and PLC-γ pathways.
“Dysregulated fibroblast growth factor-fibroblast growth factor receptor (FGF-FGFR) signaling participates in cancer development by activating MAPK, PI3K, and PLC-γ pathways [232, 233].”
From Combination strategies with PD-1/PD-L1 blockade: current advances and future directions (2022) · cites this paper as [232]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 129 · Cited by 145
- Authors
- Yue, S., Li, Y., Chen, X., Wang, J., Li, M., Chen, Y., & Wu, D.
- Affiliations
- Central South University (CN)
- University of South China (CN)
- Corresponding author
- Chen, Yongheng
- Wu, Daichao
- Venue
- Journal of Hematology & Oncology
- Published
- 2021-02-10
- Volume
- 14
- Issue
- 1
- Pages
- 23-23
- ISSN
- 1756-8722 (ISSN-L)
- PMC
- PMC7876795
- OpenAlex
- W3126629350
- Cited by
- 145
- References
- 129
- Citations by year
- 2026: 16 · 2025: 25 · 2024: 38 · 2023: 22 · 2022: 33 · 2021: 10
- FWCI
- 2.86
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Journal of Hematology & Oncology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (81974074 and 81570537)
- Outstanding Youth Project of Hunan Education Department (19B475)
- Open Project of State Local Joint Engineering Laboratory for Anticancer Drugs (KAYW-FK-20-01)
- Scientific Research Foundation of the University of South China (190XQD016)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fibroblast Growth Factor Research
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
- Health Sciences › Medicine › Pathology and Forensic Medicine › Cancer Mechanisms and Therapy
- Keywords
- fibroblast growth factor receptor, tyrosine kinase inhibitors, drug resistance, gatekeeper mutation, alternative signaling pathways, covalent inhibitors, dual inhibitors, combination therapy, lysosomal targeting, precision medicine
- MeSH terms
- Animals, Antineoplastic Agents, Humans, Mutation, Neoplasms, Protein-Tyrosine Kinases, Signal Transduction, Receptors, Fibroblast Growth Factor, Drug Resistance, Neoplasm, Protein Kinase Inhibitors, Molecular Targeted Therapy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review