Evidence map›Paper›PMID 40556802›Full record

ArticleEcancermedicalscience2025

Molecular characterisation of KRAS mutations in non-small cell lung cancer across all stages.

Carla Climent, Sandra Soriano, Natalia Lopez, Julia Giner, Mari Carmen Blazquez, Ruben Carrera, Marina Sierra, Pablo Cobo, Monica Fragio, Mireia Busquets and 4 more

Abstract read
In one paragraph

Article in Ecancermedicalscience, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Review
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

14 authors.

Carla ClimentDepartment of Medical Oncology, Consorcio Hospital Universitario Parc Tauli, Sabadell 08208, Spain.
Sandra SorianoDepartment of Medical Oncology, Consorcio Hospital Universitario Parc Tauli, Sabadell 08208, Spain.
Natalia LopezDepartment of Medical Oncology, Consorcio Hospital Universitario Parc Tauli, Sabadell 08208, Spain.
Julia GinerDepartment of Medical Oncology, Consorcio Hospital Universitario Parc Tauli, Sabadell 08208, Spain.
Mari Carmen BlazquezDepartment of Pathological Anatomy, Consorcio Hospital Universitario Parc Tauli, Sabadell 08208, Spain.
Ruben CarreraDepartment of Pathological Anatomy, Consorcio Hospital Universitario Parc Tauli, Sabadell 08208, Spain.
Marina SierraDepartment of Medical Oncology, Consorcio Hospital Universitario Parc Tauli, Sabadell 08208, Spain.
Pablo CoboDepartment of Medical Oncology, Consorcio Hospital Universitario Parc Tauli, Sabadell 08208, Spain.
Monica FragioDepartment of Medical Oncology, Consorcio Hospital Universitario Parc Tauli, Sabadell 08208, Spain.
Mireia BusquetsDepartment of Medical Oncology, Consorcio Hospital Universitario Parc Tauli, Sabadell 08208, Spain.
Ona Cano I CanoDepartment of Medical Oncology, Consorcio Hospital Universitario Parc Tauli, Sabadell 08208, Spain.
Alicia CarrascoDepartment of Medical Oncology, Consorcio Hospital Universitario Parc Tauli, Sabadell 08208, Spain.
Miguel Ángel SeguíDepartment of Medical Oncology, Consorcio Hospital Universitario Parc Tauli, Sabadell 08208, Spain.
Laia VilaDepartment of Medical Oncology, Consorcio Hospital Universitario Parc Tauli, Sabadell 08208, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Kirsten rat sarcoma virus (KRAS) mutations (KRASms) are detected in approximately 25% of non-small cell lung cancer (NSCLC) patients with adenocarcinoma. Next-generation sequencing (NGS) has enabled the identification of diverse KRASm subtypes with distinct prognoses, co-mutation patterns and clinical characteristics. This study aimed to investigate the clinical and pathological characteristics of KRASm patients across all stages of NSCLC. Methods: We analysed NSCLC patients from 2019 to 2021 using the Illumina Focus 52-gene targeted NGS panel, which detects DNA and RNA alterations. PD-L1 expression was assessed using the SP263 antibody. We examined the clinical and pathological characteristics of KRASm patients, including KRASm subtypes and co-mutations. Results: Of the 123 patients, 62 (50.4%) had KRASm, with a median age of 67 years (range 49-92). Of these, 79% were male, 87.1% had adenocarcinomas and only 8.1% were non-smokers. NGS alone was sufficient for molecular characterisation in 19.4% of cases; in 75.8%, an additional single molecular test was required. KRASm subtypes were distributed as follows: G12C (33.8%), G12V (25.8%), G12D (21%) and Q61H (6.5%). G12V was more prevalent in non-smokers (60%). Co-mutations were detected in 24.2% of patients, with PIK3CA being the most frequent. PD-L1 expression >50% was observed in 19.4% of patients. No significant associations were identified between KRAS subtypes and PD-L1 expression levels or co-mutations.Significant differences in the clinical stage were noted across KRASm subtypes. Early-stage disease accounted for 24.19% of KRASm cases, with G12D observed in 40% of these patients. However, G12C and G12V subtypes were more frequently associated with metastatic disease ( Conclusion: This study underscores the importance of assessing KRAS status and subtypes in NSCLC, particularly in early-stage disease, due to their association with metastatic risk. This could have relevance in treatment strategies and subsequent monitoring, which could necessarily be closer in higher risk patients. Moreover, while PD-L1 status shows potential as a prognostic factor in KRASm patients, further research is needed to confirm this relationship.

Indexed as

co-mutationsKRAS mutationnon-small cell lung cancerPD-L1

Identifiers

PMID40556802
PMCPMC12185876

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.