Evidence map›Paper›PMID 40591555›Full record

ArticlePloS one2025

Next-Generation Sequencing (NGS) in non-small cell lung carcinoma: A real-world experience in the public health system of Galicia (Northwest Spain).

Ihab Abdulkader-Nallib, José Manuel Cameselle-Teijeiro, Iván Lesende-Rodríguez, Raquel Pérez-Becerra, José Ramón Antúnez-López, Jorge García-González, Luis León-Mateos, María Sánchez-Ares

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Observational
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

8 authors.

Ihab Abdulkader-NallibDepartment of Pathology, Clinical University Hospital of Santiago de Compostela, Health Research Institute of Santiago de Compostela, Galician Healthcare Service (SERGAS), Santiago de Compostela, Spain.
José Manuel Cameselle-TeijeiroDepartment of Pathology, Clinical University Hospital of Santiago de Compostela, Health Research Institute of Santiago de Compostela, Galician Healthcare Service (SERGAS), Santiago de Compostela, Spain.ORCID https://orcid.org/0000-0002-5516-8914
Iván Lesende-RodríguezUniversity of A Coruña, A Coruña, Spain.ORCID https://orcid.org/0009-0000-1104-6141
Raquel Pérez-BecerraDepartment of Pathology, Clinical University Hospital of Santiago de Compostela, Health Research Institute of Santiago de Compostela, Galician Healthcare Service (SERGAS), Santiago de Compostela, Spain.
José Ramón Antúnez-LópezDepartment of Pathology, Clinical University Hospital of Santiago de Compostela, Health Research Institute of Santiago de Compostela, Galician Healthcare Service (SERGAS), Santiago de Compostela, Spain.
Jorge García-GonzálezDepartment of Medical Oncology, Clinical University Hospital of Santiago de Compostela, Galician Healthcare Service (SERGAS), Santiago de Compostela, Spain.ORCID https://orcid.org/0000-0001-7672-9867
Luis León-MateosDepartment of Medical Oncology, Clinical University Hospital of Santiago de Compostela, Galician Healthcare Service (SERGAS), Santiago de Compostela, Spain.ORCID https://orcid.org/0000-0002-0742-1209
María Sánchez-AresDepartment of Pathology, Clinical University Hospital of Santiago de Compostela, Health Research Institute of Santiago de Compostela, Galician Healthcare Service (SERGAS), Santiago de Compostela, Spain.ORCID https://orcid.org/0000-0003-0098-4161

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The validation of several predictive biomarkers has improved the clinical outcomes of non-small cell lung carcinoma (NSCLC) patients. Single tests do not cover the mutational co-occurrences, so they do not detect other alterations, which in many cases are responsible for disease progression. We describe the development and implementation of a customized next generation sequencing (NGS) panel. We analyzed 236 formalin-fixed paraffin-embedded (FFPE) NSCLC samples from the Clinical University Hospital of Santiago de Compostela (Galicia, Northwest Spain) in 2020. Detection of EGFR, KRAS, NRAS, BRAF mutations and ALK, ROS1 rearrangements were determined by real-time polymerase chain reaction (RT-PCR), immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH). These results were compared with those obtained by the NGS panel to evaluate the performance of the NGS method and to identify potential novel mutations. Ten discrepancies between NGS and the orthogonal methods were found: 2 cases in the EGFR gene, 1 in the KRAS gene, 5 in the BRAF gene and 2 in the ALK gene. The most prevalent pathogenic alterations detected by NGS were: TP53 (48.7%), KRAS (23.7%), STK11 (9.7%), EGFR (8.5%), PIK3CA (5.5%), CDKN2A (4.7%), BRAF (3.4%) and MET exon skipping 14 (3%); rearrangements were found in ALK and RET (3.5% and 1.7%, respectively). 41.5% of NSCLC patients are harbored co-occurring mutations. Our findings confirmed the robustness, sensitivity and specificity of NGS compared to conventional approaches. NGS has a role not only in the detection of actionable alterations (including concurrent mutations), but also in stratifying patients for therapy.

Indexed as

Carcinoma, Non-Small-Cell LungHigh-Throughput Nucleotide SequencingLung NeoplasmsAdultAgedAged, 80 and overAnaplastic Lymphoma KinaseBiomarkers, TumorErbB ReceptorsFemaleHumansMaleMiddle AgedMutationProto-Oncogene ProteinsProto-Oncogene Proteins B-rafALK protein, humanAnaplastic Lymphoma KinaseBiomarkers, TumorBRAF protein, humanEGFR protein, humanErbB ReceptorsKRAS protein, humanProto-Oncogene ProteinsProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)

Identifiers

PMID40591555
PMCPMC12212532

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.