Evidence map›Paper›PMID 24376723›Full record

ArticlePloS one2013

Next-generation sequencing of lung cancer EGFR exons 18-21 allows effective molecular diagnosis of small routine samples (cytology and biopsy).

Dario de Biase, Michela Visani, Umberto Malapelle, Francesca Simonato, Valentina Cesari, Claudio Bellevicine, Annalisa Pession, Giancarlo Troncone, Ambrogio Fassina, Giovanni Tallini

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

  1. Diagnostic accuracy of next-generation sequencing (NGS) for identifying actionable mutations in advanced non-small cell lung cancer: Systematic Review and Meta-Analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  17. Long-term clinical benefit from salvage EGFR tyrosine kinase inhibitors in advanced non-small-cell lung cancer patients with EGFR wild-type tumors.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2018
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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.

Dario de BiaseDepartment of Medicine (DIMES) - Anatomic Pathology Unit, Bellaria Hospital, University of Bologna, Bologna, Italy.
Michela VisaniDepartment of Pharmacology and Biotechnology (FaBiT), University of Bologna, Bologna, Italy.
Umberto MalapelleDepartment of Public Health, University of Naples Federico II, Naples, Italy.
Francesca SimonatoDepartment of Medicine (DIMED) - Surgical Pathology & Cytopathology Unit, University of Padua, Padua, Italy.
Valentina CesariDepartment of Medicine (DIMES) - Anatomic Pathology Unit, Bellaria Hospital, University of Bologna, Bologna, Italy ; Department of Pharmacology and Biotechnology (FaBiT), University of Bologna, Bologna, Italy.
Claudio BellevicineDepartment of Public Health, University of Naples Federico II, Naples, Italy.
Annalisa PessionDepartment of Pharmacology and Biotechnology (FaBiT), University of Bologna, Bologna, Italy.
Giancarlo TronconeDepartment of Public Health, University of Naples Federico II, Naples, Italy.
Ambrogio FassinaDepartment of Medicine (DIMED) - Surgical Pathology & Cytopathology Unit, University of Padua, Padua, Italy.
Giovanni TalliniDepartment of Medicine (DIMES) - Anatomic Pathology Unit, Bellaria Hospital, University of Bologna, Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selection of lung cancer patients for therapy with tyrosine kinase inhibitors directed at EGFR requires the identification of specific EGFR mutations. In most patients with advanced, inoperable lung carcinoma limited tumor samples often represent the only material available for both histologic typing and molecular analysis. We defined a next generation sequencing protocol targeted to EGFR exons 18-21 suitable for the routine diagnosis of such clinical samples. The protocol was validated in an unselected series of 80 small biopsies (n=14) and cytology (n=66) specimens representative of the material ordinarily submitted for diagnostic evaluation to three referral medical centers in Italy. Specimens were systematically evaluated for tumor cell number and proportion relative to non-neoplastic cells. They were analyzed in batches of 100-150 amplicons per run, reaching an analytical sensitivity of 1% and obtaining an adequate number of reads, to cover all exons on all samples analyzed. Next generation sequencing was compared with Sanger sequencing. The latter identified 15 EGFR mutations in 14/80 cases (17.5%) but did not detected mutations when the proportion of neoplastic cells was below 40%. Next generation sequencing identified 31 EGFR mutations in 24/80 cases (30.0%). Mutations were detected with a proportion of neoplastic cells as low as 5%. All mutations identified by the Sanger method were confirmed. In 6 cases next generation sequencing identified exon 19 deletions or the L858R mutation not seen after Sanger sequencing, allowing the patient to be treated with tyrosine kinase inhibitors. In one additional case the R831H mutation associated with treatment resistance was identified in an EGFR wild type tumor after Sanger sequencing. Next generation sequencing is robust, cost-effective and greatly improves the detection of EGFR mutations. Its use should be promoted for the clinical diagnosis of mutations in specimens with unfavorable tumor cell content.

Indexed as

AgedCarcinoma, Non-Small-Cell LungDNA Mutational AnalysisErbB ReceptorsExonsFemaleHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsMaleMolecular Diagnostic TechniquesErbB Receptors

Identifiers

PMID24376723
PMCPMC3871524

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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.