Evidence map›Paper›PMID 42348103›Full record

ReviewClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2026

Real-world prevalence of actionable genomic alterations detected by next-generation sequencing in non-small cell lung cancer: a systematic review and meta-analysis.

Manuel Pérez-Pérez, Carmen García de Sola-Llamas, María Del Carmen Aranda-Pérez, Laura Macías-García

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In one paragraph

Review in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Manuel Pérez-PérezCentro de Anatomía Patológica y Citopatología Doctor Galera, Dr. Felipe Martínez, 2, Accesorio B, 41018, Seville, Spain. mpperez1992@gmail.com.ORCID http://orcid.org/0000-0001-7595-6419
Carmen García de Sola-LlamasDepartment of Anatomic Pathology, Virgen Macarena University Hospital, Seville, Spain.
María Del Carmen Aranda-PérezDepartment of Pneumology, Puerto Real University Hospital, Cádiz, Spain.
Laura Macías-GarcíaDepartment of Pneumology, Puerto Real University Hospital, Cádiz, Spain.

Funding

Agencia Estatal de Investigación MICIU/AEI/10.13039/501100011033
6 · The paper itself

Abstract

backgroundNext-generation sequencing (NGS) has become central to molecular profiling in non-small cell lung cancer (NSCLC), enabling the detection of both common and low-frequency actionable genomic alterations. However, the real-world prevalence of rare actionable drivers remains uncertain due to heterogeneity in cohort selection and testing strategies.

methodsWe conducted a systematic review and meta-analysis of clinical NSCLC cohorts assessed by NGS, focusing on non-enriched populations to better reflect routine practice. The primary outcomes were MET exon 14 skipping, RET fusions, and ROS1 fusions. Secondary outcomes included EGFR uncommon mutations, EGFR exon 20 insertions, HER2/ERBB2 exon 20 insertions, and NTRK fusions. Pooled prevalence estimates were calculated using random-effects models with restricted maximum likelihood.

resultsTwenty-seven studies were retained in the reconstructed dataset, including 22 non-enriched studies for the primary analysis and 5 sensitivity studies. In the primary non-enriched analysis, pooled prevalence estimates were 1.99% (95% CI 1.46-2.70) for MET exon 14 skipping, 1.34% (95% CI 0.88-2.04) for RET fusions, and 1.45% (95% CI 0.86-2.45) for ROS1 fusions. Estimates were generally stable across prespecified restriction and sensitivity analyses. Secondary alterations showed lower prevalence and greater uncertainty, particularly for sparse outcomes.

conclusionsRare actionable genomic alterations are recurrently identified in NGS-assessed NSCLC cohorts. These findings support the clinical value of broad genomic profiling, provide realistic expectations for diagnostic yield in routine practice, and may inform precision oncology implementation, molecular-testing pathways, and resource allocation.

Indexed as

MET exon 14 skippingMolecular profilingNext-generation sequencingNSCLCRET fusionROS1 fusion

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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.