Evidence map›Paper›PMID 32114392›Full record

ArticleEBioMedicine2020

FGFR1 and FGFR4 oncogenicity depends on n-cadherin and their co-expression may predict FGFR-targeted therapy efficacy.

Álvaro Quintanal-Villalonga, Irene Ferrer, Elizabeth Guruceaga, Cristina Cirauqui, Ángela Marrugal, Laura Ojeda, Santiago García, Jon Zugazagoitia, Sandra Muñoz-Galván, Fernando Lopez-Rios and 5 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

18 citing papers in PubMed, 26 citations in OpenAlex.

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  15. Potential Therapeutic Applications of N-Cadherin Antagonists and Agonists.Frontiers in cell and developmental biology · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 3 countries.

Álvaro Quintanal-VillalongaH12O-CNIO Lung Cancer Clinical Research Unit, Instituto de Investigación Hospital 12 de Octubre & Centro Nacional de Investigaciones Oncológicas (CNIO), Madrid, Spain; Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Irene FerrerH12O-CNIO Lung Cancer Clinical Research Unit, Instituto de Investigación Hospital 12 de Octubre & Centro Nacional de Investigaciones Oncológicas (CNIO), Madrid, Spain; CIBERONC, Madrid, Spain.
Elizabeth GuruceagaBioinformatics Unit, Centre for Applied Medical Research (CIMA), Pamplona, Spain; PROTEORED, Madrid, Spain.
Cristina CirauquiH12O-CNIO Lung Cancer Clinical Research Unit, Instituto de Investigación Hospital 12 de Octubre & Centro Nacional de Investigaciones Oncológicas (CNIO), Madrid, Spain.
Ángela MarrugalH12O-CNIO Lung Cancer Clinical Research Unit, Instituto de Investigación Hospital 12 de Octubre & Centro Nacional de Investigaciones Oncológicas (CNIO), Madrid, Spain.
Laura OjedaH12O-CNIO Lung Cancer Clinical Research Unit, Instituto de Investigación Hospital 12 de Octubre & Centro Nacional de Investigaciones Oncológicas (CNIO), Madrid, Spain; CIBERONC, Madrid, Spain.
Santiago GarcíaH12O-CNIO Lung Cancer Clinical Research Unit, Instituto de Investigación Hospital 12 de Octubre & Centro Nacional de Investigaciones Oncológicas (CNIO), Madrid, Spain.
Jon ZugazagoitiaH12O-CNIO Lung Cancer Clinical Research Unit, Instituto de Investigación Hospital 12 de Octubre & Centro Nacional de Investigaciones Oncológicas (CNIO), Madrid, Spain; CIBERONC, Madrid, Spain; Medical Oncology Department, Hospital Universitario Doce de Octubre. Madrid, Spain.
Sandra Muñoz-GalvánCIBERONC, Madrid, Spain; Instituto de Biomedicina de Sevilla (IBIS) (HUVR, CSIC, Universidad de Sevilla), Sevilla, Spain.
Fernando Lopez-RiosCIBERONC, Madrid, Spain; Laboratorio de Dianas Terapéuticas, Hospital Universitario HM Sanchinarro, Madrid, Spain.
Luis MontuengaCIBERONC, Madrid, Spain; Program in Solid Tumors, Centre for Applied Medical Research (CIMA), Pamplona, Spain; Department of Pathology, Anatomy and Physiology, University of Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, SPAIN.
Silvestre VicentCIBERONC, Madrid, Spain; Program in Solid Tumors, Centre for Applied Medical Research (CIMA), Pamplona, Spain; Department of Pathology, Anatomy and Physiology, University of Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, SPAIN.
Sonia Molina-PineloCIBERONC, Madrid, Spain; Instituto de Biomedicina de Sevilla (IBIS) (HUVR, CSIC, Universidad de Sevilla), Sevilla, Spain. Electronic address: smolina-ibis@us.es.
Amancio CarneroCIBERONC, Madrid, Spain; Instituto de Biomedicina de Sevilla (IBIS) (HUVR, CSIC, Universidad de Sevilla), Sevilla, Spain.
Luis Paz-AresH12O-CNIO Lung Cancer Clinical Research Unit, Instituto de Investigación Hospital 12 de Octubre & Centro Nacional de Investigaciones Oncológicas (CNIO), Madrid, Spain; CIBERONC, Madrid, Spain; Medical Oncology Department, Hospital Universitario Doce de Octubre. Madrid, Spain; Medical School, Universidad Complutense, Madrid, Spain.
Research Institute Hospital 12 de Octubre · ESInstituto de Biomedicina de Sevilla · ESNavarre Institute of Health Research · ESChartered Institute of Management Accountants · GBHospital Universitario HM Sanchinarro · ESMemorial Sloan Kettering Cancer Center · USUniversidad Complutense de Madrid · ES

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundFibroblast growth factor receptor (FGFR)1 and FGFR4 have been associated with tumorigenesis in a variety of tumour types. As a therapeutic approach, their inhibition has been attempted in different types of malignancies, including lung cancer, and was initially focused on FGFR1-amplified tumours, though with limited success.

methodsIn vitro and in vivo functional assessments of the oncogenic potential of downregulated/overexpressed genes in isogenic cell lines were performed, as well as inhibitor efficacy tests in vitro and in vivo in patient-derived xenografts (PDXs). mRNA was extracted from FFPE non-small cell lung cancer samples to determine the prognostic potential of the genes under study.

findingsWe provide in vitro and in vivo evidence showing that expression of the adhesion molecule N-cadherin is key for the oncogenic role of FGFR1/4 in non-small cell lung cancer. According to this, assessment of the expression of genes in different lung cancer patient cohorts showed that FGFR1 or FGFR4 expression alone showed no prognostic potential, and that only co-expression of FGFR1 and/or FGFR4 with N-cadherin inferred a poorer outcome. Treatment of high-FGFR1 and/or FGFR4-expressing lung cancer cell lines and patient-derived xenografts with selective FGFR inhibitors showed high efficacy, but only in models with high FGFR1/4 and N-cadherin expression.

interpretationOur data show that the determination of the expression of FGFR1 or FGFR4 alone is not sufficient to predict anti-FGFR therapy efficacy; complementary determination of N-cadherin expression may further optimise patient selection for this therapeutic strategy.

Indexed as

Drug Resistance, NeoplasmAnimalsAntineoplastic AgentsBenzamidesBiomarkers, TumorCadherinsCarcinoma, Non-Small-Cell LungCell Line, TumorFemaleHumansLung NeoplasmsMiceMice, NudePiperazinesPyrazolesReceptor, Fibroblast Growth Factor, Type 1Antineoplastic AgentsAZD4547BenzamidesBiomarkers, TumorCadherinsFGFR1 protein, humanFGFR4 protein, humanPiperazinesPyrazolesReceptor, Fibroblast Growth Factor, Type 1Receptor, Fibroblast Growth Factor, Type 4FGFR1FGFR4FGFR inhibitorsN-cadherinPredictive biomarker

Identifiers

PMID32114392
PMCPMC7047190
OpenAlexW3009031247

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.