Survival impact of a KEAP1-NFE2L2 radiomics model in PDL1 ≥ 50% non-small cell lung cancer treated with pembrolizumab: the PEMBROMIC study

In PD-L1 TPS ≥ 50% NSCLC patients treated with pembrolizumab, our results suggest an improved PFS in patients predicted to be KEAP1/NFE2L2 mutated.

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Publication Details

Journal
Cancer Imaging
Published
2025-11-22
DOI
https://doi.org/10.1186/s40644-025-00957-y
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Survival impact of a KEAP1-NFE2L2 radiomics model in PDL1 ≥ 50% non-small cell lung cancer treated with pembrolizumab: the PEMBROMIC study

R. Descourt, Coline Le Meur, Vincent Bourbonne, Matthieu Chasseray et al.
Cancer Imaging
Radiomics and Machine Learning in Medical Imaging
article

Survival impact of a KEAP1-NFE2L2 radiomics model in PDL1 ≥ 50% non-small cell lung cancer treated with pembrolizumab: the PEMBROMIC study

R. Descourt, Coline Le Meur, Vincent Bourbonne, Matthieu Chasseray, Ronan Abgral, David Bourhis, Karim Amrane, Olivier Pradier
article en

Abstract

In PD-L1 TPS ≥ 50% NSCLC patients treated with pembrolizumab, our results suggest an improved PFS in patients predicted to be KEAP1/NFE2L2 mutated.

Cancer ImagingVol. 25(1)
Inserm (FR), Université de Bretagne Occidentale (FR), Centre Hospitalier Régional Universitaire de Brest (FR), Clinique Pasteur (FR), Centre Hospitalier des Pays de Morlaix (FR), Laboratoire de Traitement de l'Information Médicale (FR)
Openalex Percentile: Top 49%
Radiomics and Machine Learning in Medical Imaging
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Survival impact of a KEAP1-NFE2L2 radiomics model in PDL1 ≥ 50% non-small cell lung cancer treated with pembrolizumab: the PEMBROMIC study — R. Descourt, Coline Le Meur, et al. · Cancer Imaging (2025) | TGRS Research Map | TGRS