Evidence map›Paper›PMID 37921939›Full record

ArticleTargeted oncology2023

Histo-Molecular Factors of Response to Combined Chemotherapy and Immunotherapy in Non-Small Cell Lung Cancers.

Marine Marchal, Vincent Leroy, Hélène Behal, Eric Dansin, Nicolas Paris, Soraya Bordier, Sarah Humez, Fabienne Escande, Clément Gauvain, Alexis B Cortot

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Targeted oncology, 2023. 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
0.3field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Mechanisms of primary resistance to immune checkpoint inhibitors in NSCLC.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    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

10 authors at 5 institutions in 1 country.

Marine MarchalDepartment of Thoracic Oncology, Univ. Lille, CHU Lille, Boulevard du Professeur Leclercq, 59000, Lille, France. marine.marchal@chu-lille.fr.ORCID 0009-0008-2167-7893
Vincent LeroyDepartment of Pneumology, Clinique Tessier, Valenciennes, France.
Hélène BehalBiostatistics Department, CHU Lille, 59000, Lille, France.
Eric DansinDepartment of Medical Oncology, Centre Oscar Lambret, Lille, France.
Nicolas ParisDepartment of Pneumology, Dunkerque Hospital, Dunkerque, France.
Soraya BordierDepartment of Pneumology, Roubaix Hospital, Roubaix, France.
Sarah HumezDepartment of Pathology, CHU Lille, Univ. Lille, CHU de Lille, 59000, Lille, France.
Fabienne EscandeDepartment of Biochemistry and Molecular Biology, CHU Lille, Univ. Lille, CHU de Lille, 59000, Lille, France.
Clément GauvainDepartment of Thoracic Oncology, Univ. Lille, CHU Lille, Boulevard du Professeur Leclercq, 59000, Lille, France.
Alexis B CortotDepartment of Thoracic Oncology, Univ. Lille, CHU Lille, Boulevard du Professeur Leclercq, 59000, Lille, France.
Université de Lille · FRCentre National de la Recherche Scientifique · FRCentre Hospitalier de Roubaix · FRCentre Hospitalier Universitaire de Lille · FRCentre Oscar Lambret · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChemo-immunotherapy (CIT) is the standard of care for advanced non-small cell lung cancer (NSCLC), but the impact of routinely available histo-molecular biomarkers on its efficacy has not yet been fully assessed.

objectiveThe purpose of this multicenter study was to evaluate the clinical activity of CIT according to oncogenic drivers, STK11 and TP53 mutations, and MET overexpression. PATIENTS AND

methodsPatients receiving CIT for advanced NSCLC with available comprehensive molecular profile were included. The primary endpoint was progression-free survival (PFS), adjusted on main confounding factors, and secondary endpoints were overall survival (OS) and objective response rate.

resultsAmong the 195 patients included between September 2018 and October 2021, 88 (41%) had a KRAS mutation, 16 (8.2%) an EGFR mutation or an ALK, ROS1, or RET rearrangement, 11 (5.6%) a BRAF mutation, 6 (3.1%) a MET exon 14 mutation or MET amplification, and 5 (2.6%) a HER2 mutation. Seventy-seven patients (39.5%) had none of these alterations. The median PFS was 6.4 months (95% CI 5.3-7.3). Per subgroup, the median PFS was 7.1 months (5.4-8.9) for KRAS, 5.5 months (2.5-15.3) for EGFR/ALK/ROS1/RET, 12.9 months (2.6-not reached [NR]) for BRAF, 1.5 months (0.6-NR) for MET, 3.9 months (2.6-NR) for HER2, and 5.6 months (4.7-7.8) for patients without any oncogenic alteration. No difference in PFS was observed between the KRAS, BRAF, EGFR/ALK/ROS1/RET, and no-driver subgroups. STK11 mutations were associated with poor PFS (HR 1.59 [95% CI 1.01-2.51]) whereas TP53 mutations had no impact. MET overexpression was associated with longer PFS (HR 0.59 [95% CI 0.35-0.99]).

conclusionThis study suggests that the efficacy of combining pembrolizumab with pemetrexed and platinum-based chemotherapy differs according to the histo-molecular biomarkers, which may help to identify patients liable to benefit from CIT.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsBiomarkersErbB ReceptorsHumansImmunotherapyMutationProtein-Tyrosine KinasesProto-Oncogene ProteinsProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)Receptor Protein-Tyrosine KinasesBiomarkersErbB ReceptorsProtein-Tyrosine KinasesProto-Oncogene ProteinsProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)Receptor Protein-Tyrosine Kinases

Identifiers

PMID37921939
PMCPMC10663251
OpenAlexW4388328466

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.