Evidence map›Paper›PMID 33067323›Full record

ReviewESMO open2020

Understanding EGFR heterogeneity in lung cancer.

Antonio Passaro, Umberto Malapelle, Marzia Del Re, Ilaria Attili, Alessandro Russo, Elena Guerini-Rocco, Caterina Fumagalli, Pasquale Pisapia, Francesco Pepe, Caterina De Luca and 6 more

Abstract readReview
In one paragraph

Review in ESMO open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  7. Mutation-Specific Response to Ramucirumab inJTO clinical and research reports · 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

16 authors.

Antonio PassaroDivision of Thoracic Oncology, European Institute of Oncology IRCCS, Milan, Italy. Electronic address: Antonio.Passaro@ieo.it.
Umberto MalapelleDepartment of Public Health, University of Naples Federico II, Napoli, Campania, Italy.
Marzia Del ReClinical and Experimental Medicine, University Hospital of Pisa, Pisa, Italy.
Ilaria AttiliDivision of Thoracic Oncology, European Institute of Oncology IRCCS, Milan, Italy.
Alessandro RussoMedical Oncology Unit, A.O. Papardo & Department of Human Pathology, University of Messina, Messina, Italy.
Elena Guerini-RoccoDepartment of Oncology and Hemato-oncology, University of Milan, Milan, Italy; Division of Pathology, European Institute of Oncology, IRCCS, Milan, Italy.
Caterina FumagalliDivision of Pathology, European Institute of Oncology, IRCCS, Milan, Italy.
Pasquale PisapiaDepartment of Public Health, University of Naples Federico II, Napoli, Campania, Italy.
Francesco PepeDepartment of Public Health, University of Naples Federico II, Napoli, Campania, Italy.
Caterina De LucaDepartment of Public Health, University of Naples Federico II, Napoli, Campania, Italy.
Federico CucchiaraClinical and Experimental Medicine, University Hospital of Pisa, Pisa, Italy.
Giancarlo TronconeDepartment of Public Health, University of Naples Federico II, Napoli, Campania, Italy.
Romano DanesiClinical and Experimental Medicine, University Hospital of Pisa, Pisa, Italy.
Lorenzo SpaggiariDepartment of Oncology and Hemato-oncology, University of Milan, Milan, Italy; Division of Thoracic Surgery,European Insitute of Oncology IRCCS, Milan, Italy.
Filippo De MarinisDivision of Thoracic Oncology, European Institute of Oncology IRCCS, Milan, Italy.
Christian RolfoThoracic Oncology Department and Early Phase Clinical Trials Section, School of Medicine, University of Maryland, Baltimore, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advances in understanding the inherited biological mechanisms of non-small cell lung cancer harbouring epidermal growth factor receptor (EGFR) mutations led to a significant improvement in the outcomes of patients treated with EGFR tyrosine kinase inhibitors. Despite these clinically impressive results, clinical results are not always uniform, suggesting the need for deepening the molecular heterogeneity of this molecularly defined subgroup of patients beyond the clinical and biological surface.The availability of tissue and blood-based tumour genotyping allows us to improve the understanding of molecular and genetic intratumor heterogeneity, driving the measurement of clonal evaluation in patients with lung cancer carrying EGFR mutations. Genetic diversification, clonal expansion and selection are highly variable patterns of genetic diversity, resulting in different biological entities, also a prerequisite for Darwinian selection and therapeutic failure.Such emerging pieces of evidence on the genetic diversity, including adaptive and immunomodulated aspects, provide further evidence for the role of the tumour microenvironment (TME) in drug-resistance and immune-mediated mechanisms. Matching in daily clinical practice, the detailed genomic profile of lung cancer disease and tracking the clonal evolution could be the way to individualise the further target treatments in EGFR-positive disease. Characterising the tumour and immune microenvironment during the time of the cancer evaluation could be the way forward for the qualitative leap needed from bench to bedside. Such a daring approach, aiming at personalising treatment selection in order to exploit the TME properties and weaken tumour adaptivity, should be integrated into clinical trial design to optimise patient outcome.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsErbB ReceptorsHumansMutationProtein Kinase InhibitorsTumor MicroenvironmentEGFR protein, humanErbB ReceptorsProtein Kinase InhibitorsEGFRheterogeneitymutationsNSCLC

Identifiers

PMID33067323
PMCPMC7569934

What OpenQuestion holds

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Registered trials

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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.