Evidence map›Paper›PMID 37370859›Full record

ArticleCancers2023

Genomic Mapping of Epidermal Growth Factor Receptor and Mesenchymal-Epithelial Transition-Up-Regulated Tumors Identifies Novel Therapeutic Opportunities.

Lucía Paniagua-Herranz, Bernard Doger, Cristina Díaz-Tejeiro, Adrián Sanvicente, Cristina Nieto-Jiménez, Víctor Moreno, Pedro Pérez Segura, Balazs Gyorffy, Emiliano Calvo, Alberto Ocana

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Antibody-drug conjugate engineering: from design to efficacy and safety.Signal transduction and targeted therapy · 2026
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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

10 authors at 5 institutions in 2 countries.

Lucía Paniagua-HerranzExperimental Therapeutics in Cancer Unit, Medical Oncology Department, Hospital Clínico San Carlos (HCSC), Instituto de Investigación Sanitaria (IdISSC) and CIBERONC, 28040 Madrid, Spain.
Bernard DogerSTART Madrid-HM Centro Integral Oncológico Clara Campal (CIOCC), Early Phase Program, HM Sanchinarro University Hospital, 28050 Madrid, Spain.
Cristina Díaz-TejeiroExperimental Therapeutics in Cancer Unit, Medical Oncology Department, Hospital Clínico San Carlos (HCSC), Instituto de Investigación Sanitaria (IdISSC) and CIBERONC, 28040 Madrid, Spain.ORCID 0000-0003-3413-0738
Adrián SanvicenteExperimental Therapeutics in Cancer Unit, Medical Oncology Department, Hospital Clínico San Carlos (HCSC), Instituto de Investigación Sanitaria (IdISSC) and CIBERONC, 28040 Madrid, Spain.ORCID 0000-0002-6511-2498
Cristina Nieto-JiménezExperimental Therapeutics in Cancer Unit, Medical Oncology Department, Hospital Clínico San Carlos (HCSC), Instituto de Investigación Sanitaria (IdISSC) and CIBERONC, 28040 Madrid, Spain.
Víctor MorenoSTART Madrid-Fundación Jiménez Díaz (FJD), Early Phase Program, Fundación Jiménez Díaz Hospital, 28040 Madrid, Spain.ORCID 0000-0001-6099-4236
Pedro Pérez SeguraExperimental Therapeutics in Cancer Unit, Medical Oncology Department, Hospital Clínico San Carlos (HCSC), Instituto de Investigación Sanitaria (IdISSC) and CIBERONC, 28040 Madrid, Spain.
Balazs GyorffyDepartment of Bioinformatics, Semmelweis University, 1094 Budapest, Hungary.ORCID 0000-0002-5772-3766
Emiliano CalvoSTART Madrid-HM Centro Integral Oncológico Clara Campal (CIOCC), Early Phase Program, HM Sanchinarro University Hospital, 28050 Madrid, Spain.ORCID 0000-0003-4921-829X
Alberto OcanaExperimental Therapeutics in Cancer Unit, Medical Oncology Department, Hospital Clínico San Carlos (HCSC), Instituto de Investigación Sanitaria (IdISSC) and CIBERONC, 28040 Madrid, Spain.ORCID 0000-0002-1067-9630
Instituto de Investigación Sanitaria del Hospital Clínico San Carlos · ESHospital Universitario HM Sanchinarro · ESHospital Universitario Fundación Jiménez Díaz · ESSemmelweis University · HUUniversidad Complutense de Madrid · ES

Funding

CRIS Cancer Foundation PPSC02Instituto de Salud Carlos III PI19/00808
6 · The paper itself

Abstract

backgroundThe identification of proteins in the cellular membrane of the tumoral cell is a key to the design of therapeutic agents. Recently, the bi-specific antibody amivantamab, targeting the oncogenic membrane proteins EGFR and MET, received regulatory approval for the treatment of adult patients with locally advanced or metastatic NSCLC.

methodsThe authors interrogated several publicly available genomic datasets to evaluate the expression of both receptors and PD-L1 in most of the solid and hematologic malignancies and focused on prostate adenocarcinoma (PRAD) and pancreatic adenocarcinoma (PAAD).

resultsIn PAAD, EGFR highly correlated with PD-L1 and MET, and MET showed a moderate correlation with PD-L1, while in PRAD, EGFR, MET and PD-L1 showed a strong correlation. In addition, in tumors treated with immune checkpoint inhibitors, including anti-PD(L)1 and anti-CTLA4, a high expression of EGFR and MET predicted detrimental survival. When exploring the relationship of immune populations with these receptors, the authors observed that in PAAD and PRAD, EGFR moderately correlated with CD8+ T cells. Furthermore, EGFR and MET correlated with neutrophils in PRAD.

conclusionsThe authors identified tumor types where EGFR and MET were highly expressed and correlated with a high expression of PD-L1, opening the door for the future combination of bi-specific EGFR/MET antibodies with anti-PD(L)1 inhibitors.

Indexed as

anti-PD-L1bi-specific antibodiesEGFRimmune checkpoint therapiesMETpancreatic adenocarcinomaprostate adenocarcinoma

Identifiers

PMID37370859
PMCPMC10297015
OpenAlexW4381429210

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.