Evidence map›Paper›PMID 33568192›Full record

ReviewJournal of hematology & oncology2021

FGFR-TKI resistance in cancer: current status and perspectives.

Sitong Yue, Yukun Li, Xiaojuan Chen, Juan Wang, Meixiang Li, Yongheng Chen, Daichao Wu

Open access · goldAbstract readReview
In one paragraph

Review in Journal of hematology & oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
9.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

70 citing papers in PubMed, 138 citations in OpenAlex.

  1. Evaluating Debio 1347 in Patients with FGFR Fusion-Positive Advanced Solid Tumors from the FUZE Multicenter, Open-Label, Phase II Basket Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Trial
  2. Trial
  3. Trial
  4. Article
  5. Fibroblast growth factor receptor signaling in head and neck tumors: molecular pathogenesis and potential therapeutic targets.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

10 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Sitong Yue *Department of Oncology, Laboratory of Structural Biology, NHC Key Laboratory of Cancer Proteomics, State Local Joint Engineering Laboratory for Anticancer Drugs, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Yukun Li *Clinical Anatomy and Reproductive Medicine Application Institute, Department of Histology and Embryology, Hunan Province Key Laboratory of Cancer Cellular and Molecular Pathology, University of South China, Hengyang, 421001, China.
Xiaojuan ChenDepartment of Oncology, Laboratory of Structural Biology, NHC Key Laboratory of Cancer Proteomics, State Local Joint Engineering Laboratory for Anticancer Drugs, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Juan WangClinical Anatomy and Reproductive Medicine Application Institute, Department of Histology and Embryology, Hunan Province Key Laboratory of Cancer Cellular and Molecular Pathology, University of South China, Hengyang, 421001, China.
Meixiang LiClinical Anatomy and Reproductive Medicine Application Institute, Department of Histology and Embryology, Hunan Province Key Laboratory of Cancer Cellular and Molecular Pathology, University of South China, Hengyang, 421001, China.
Yongheng ChenDepartment of Oncology, Laboratory of Structural Biology, NHC Key Laboratory of Cancer Proteomics, State Local Joint Engineering Laboratory for Anticancer Drugs, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China. yonghenc@163.com.
Daichao WuDepartment of Oncology, Laboratory of Structural Biology, NHC Key Laboratory of Cancer Proteomics, State Local Joint Engineering Laboratory for Anticancer Drugs, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China. wudc_lab@163.com.ORCID 0000-0003-2086-0190
Central South University · CNUniversity of South China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Drug Resistance, NeoplasmAnimalsAntineoplastic AgentsHumansMolecular Targeted TherapyMutationNeoplasmsProtein Kinase InhibitorsProtein-Tyrosine KinasesReceptors, Fibroblast Growth FactorSignal TransductionAntineoplastic AgentsProtein Kinase InhibitorsProtein-Tyrosine KinasesReceptors, Fibroblast Growth FactorDrug resistanceFGFRGatekeeper mutationLysosome sequestrationTyrosine kinase inhibitor

Identifiers

PMID33568192
PMCPMC7876795
OpenAlexW3126629350

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.