Evidence map›Paper›PMID 38831455›Full record

ReviewJournal of hematology & oncology2024

Targeting FGFR for cancer therapy.

Pei Zhang, Lin Yue, QingQing Leng, Chen Chang, Cailing Gan, Tinghong Ye, Dan Cao

Abstract readReview
In one paragraph

Review in Journal of hematology & oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
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  7. Review
  8. Mutational Landscape ofCurrent issues in molecular biology · 2026
    Article
  9. Blockade of FGFR1 Trafficking to the Cell Surface Results in the Partial Mistargeting of the Receptor to Peroxisomes.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  10. [Advances in intravesical therapy for nonZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Cytokines and cancer-associated fibroblasts.Journal of hematology & oncology · 2026
    Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review

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.

Pei Zhang *Division of Abdominal Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, Sichuan, China.
Lin Yue *Laboratory of Gastrointestinal Cancer and Liver Disease, Department of Gastroenterology and Hepatology, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China.
QingQing LengDivision of Abdominal Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, Sichuan, China.
Chen ChangDivision of Abdominal Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, Sichuan, China.
Cailing GanLaboratory of Gastrointestinal Cancer and Liver Disease, Department of Gastroenterology and Hepatology, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China.
Tinghong YeLaboratory of Gastrointestinal Cancer and Liver Disease, Department of Gastroenterology and Hepatology, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China. yeth1309@scu.edu.cn.
Dan CaoDivision of Abdominal Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, Sichuan, China. caodan@scu.edu.cn.

Funding

1·3·5 project for disciplines of excellence-Clinical Research Incubation Project ZYJC21016
6 · The paper itself

Abstract

The FGFR signaling pathway is integral to cellular activities, including proliferation, differentiation, and survival. Dysregulation of this pathway is implicated in numerous human cancers, positioning FGFR as a prominent therapeutic target. Here, we conduct a comprehensive review of the function, signaling pathways and abnormal alterations of FGFR, as well as its role in tumorigenesis and development. Additionally, we provide an in-depth analysis of pivotal phase 2 and 3 clinical trials evaluating the performance and safety of FGFR inhibitors in oncology, thereby shedding light on the current state of clinical research in this field. Then, we highlight four drugs that have been approved for marketing by the FDA, offering insights into their molecular mechanisms and clinical achievements. Our discussion encompasses the intricate landscape of FGFR-driven tumorigenesis, current techniques for pinpointing FGFR anomalies, and clinical experiences with FGFR inhibitor regimens. Furthermore, we discuss the inherent challenges of targeting the FGFR pathway, encompassing resistance mechanisms such as activation by gatekeeper mutations, alternative pathways, and potential adverse reactions. By synthesizing the current evidence, we underscore the potential of FGFR-centric therapies to enhance patient prognosis, while emphasizing the imperative need for continued research to surmount resistance and optimize treatment modalities.

Indexed as

NeoplasmsReceptors, Fibroblast Growth FactorSignal TransductionAnimalsAntineoplastic AgentsHumansMolecular Targeted TherapyProtein Kinase InhibitorsAntineoplastic AgentsProtein Kinase InhibitorsReceptors, Fibroblast Growth FactorClinical trialsDrug resistanceFDA-approved drugsFGFRTumors

Identifiers

PMID38831455
PMCPMC11149307

What OpenQuestion holds

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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.