Evidence map›Paper›PMID 35004240›Full record

ArticleTranslational lung cancer research2021

EGFR-dependent mechanisms of resistance to osimertinib determined by ctDNA NGS analysis identify patients with better outcome.

Julie A Vendrell, Xavier Quantin, Audrey Aussel, Isabelle Solassol, Isabelle Serre, Jérôme Solassol

Open access · diamondAbstract read
In one paragraph

Article in Translational lung cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

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  6. Recent Advances in the Use ofPharmaceutics · 2025
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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

6 authors at 4 institutions in 1 country.

Julie A VendrellCHU Montpellier, Department of Pathology and Onco-biology, Univ Montpellier, Montpellier, France.
Xavier QuantinIRCM, INSERM, Univ Montpellier, ICM, Montpellier, France.
Audrey AusselCHU Montpellier, Department of Pathology and Onco-biology, Univ Montpellier, Montpellier, France.
Isabelle SolassolIURT, ICM, Montpellier, France.
Isabelle SerreCHU Montpellier, Department of Pathology and Onco-biology, Univ Montpellier, Montpellier, France.
Jérôme SolassolCHU Montpellier, Department of Pathology and Onco-biology, Univ Montpellier, Montpellier, France.
Centre Hospitalier Universitaire de Montpellier · FRInserm · FRInstitut de Recherche en Cancérologie de Montpellier · FRUniversité de Montpellier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsimertinib is an epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) that is highly selective for

methodsPlasma samples from patients treated with osimertinib as a second-line therapy were collected and the presence of molecular alterations of acquired resistance was evaluated after relapse under osimertinib using ctDNA molecular profiling by next-generation sequencing (NGS) assays. The clinical implications of these genomic alterations for the efficiency of the third-generation TKI were further assessed.

resultsOur ctDNA molecular profiling of plasma samples highlighted large number of actionable genomic alterations. According to ctDNA NGS results, patients were classified as having developed an

conclusionsOur study highlights the potential of ctDNA NGS to rapidly select the appropriate drug after osimertinib failure and to determine clinical outcomes of patients. We suggest that ctDNA NGS should be more intensively used in clinical practice to follow patients under third-generation TKIs.

Indexed as

circulating tumor DNAclinical outcomeEGFR-TKI resistancelung cancerosimertinib

Identifiers

PMID35004240
PMCPMC8674606
OpenAlexW3217485852

What OpenQuestion holds

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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.