Evidence map›Paper›PMID 37196225›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

Advanced Non-small Cell Lung Cancer: EGFR Mutation Analysis Using Pyrosequencing and the Fully Automated qPCR-Based Idylla

Youssra Boustany, Abdelilah Laraqui, Sara El Zaitouni, Merieme Ghaouti, Asmae Benzekri, Fouad Kettani, Mohammed Oukabli, Khalid Ennibi, Bouchra Belkadi, Yassine Sekhsokh

Open access · goldAbstract read
In one paragraph

Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Osimertinib in uncommonTranslational lung cancer research · 2024
    Article
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 1 institution in 1 country.

Youssra BoustanyResearch and Biosafety Laboratory, Mohamed V Military Teaching Hospital, Faculty of Medicine and Pharmacy, Mohammed V University in Rabat, Rabat, Morocco.ORCID 0000-0002-1253-7636
Abdelilah LaraquiResearch and Biosafety Laboratory, Mohamed V Military Teaching Hospital, Faculty of Medicine and Pharmacy, Mohammed V University in Rabat, Rabat, Morocco.
Sara El ZaitouniResearch and Biosafety Laboratory, Mohamed V Military Teaching Hospital, Faculty of Medicine and Pharmacy, Mohammed V University in Rabat, Rabat, Morocco.
Merieme GhaoutiDepartment of Pathology, Nations-Unites Pathology Center, Université Mohammed V Agdal, Rabat, Morocco.
Asmae BenzekriDepartment of Pathology, Nations-Unites Pathology Center, Université Mohammed V Agdal, Rabat, Morocco.
Fouad KettaniDepartment of Pathology, Nations-Unites Pathology Center, Université Mohammed V Agdal, Rabat, Morocco.
Mohammed OukabliAnatomopathology Laboratory, Mohamed V Military Teaching Hospital, Faculty of Medicine and Pharmacy, Mohammed V University in Rabat, Rabat, Morocco.
Khalid EnnibiSequencing Unit, Virology Laboratory, Virology Center of Infectious and Tropical Diseases, Mohamed V Military, Teaching Hospital, Faculty of Medicine and Pharmacy, Mohammed V University in Rabat, Rabat, Morocco.
Bouchra BelkadiMicrobiology and Molecular Biology Team, Faculty of Sciences, Mohammed V University in Rabat, Rabat, Morocco.
Yassine SekhsokhResearch and Biosafety Laboratory, Mohamed V Military Teaching Hospital, Faculty of Medicine and Pharmacy, Mohammed V University in Rabat, Rabat, Morocco.
Mohammed V University · MA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidermal growth factor receptor (EGFR) mutation status is of a major clinical significance in non-small cell lung cancer (NSCLC) management, as it guides therapeutic decision making to target patients for a better response to therapy. This implicates the introduction of EGFR mutation analysis as the standard of care for Moroccan NSCLC patients, which in itself entails the implementation of targeted methods for routine EGFR mutation analysis in our laboratories. In this study, we aimed to present 2 targeted methods for EGFR mutation identification and to determine the prevalence and spectrum of EGFR mutations in NSCLC Moroccan patients.

methodsA retrospective investigation of a cohort of 340 patients was undertaken to analyze somatic EGFR mutations in exons 18 to 21 using pyrosequencing and the Idylla

resultsOf the enrolled patients, 70.9% were males and 29.1% were females. Predominately, 92% of cases had adenocarcinoma, and 53.7% of patients self-reported a history of smoking. Overall, 73 patients (21.7%) harbored an EGFR mutation, the most prevalent of which were the exon 19 deletions (53.4%) followed by exon 21 substitutions (31%). Exon 18 mutations and exon 20 alterations occurred in 8.1% and 6.7% of the positive EGFR mutation cases, respectively. Of the analyzed cases, all of the EGFR-mutated patients had adenocarcinoma. EGFR mutation prevalence was significantly higher in females (females vs males: 38.4% vs 14.5%,

conclusionThese findings underline the imperious need for implementing quick and efficient targeted methods for routine EGFR mutation testing among NSCLC patients, which is particularly useful in determining patients who are more likely to benefit from targeted therapy.

Indexed as

AdenocarcinomaCarcinoma, Non-Small-Cell LungLung NeoplasmsErbB ReceptorsFemaleHigh-Throughput Nucleotide SequencingHumansMaleMutationRetrospective StudiesEGFR protein, humanErbB Receptorsepidermal growth factor receptor mutationsIdyllaTMsystemnon-small cell lung cancerpyrosequencing

Identifiers

PMID37196225
PMCPMC10196548
OpenAlexW4376959648

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.