Computational analysis of whole slide images predicts PD-L1 expression and progression-free survival in immunotherapy-treated non-small cell lung cancer patients

Our models, based on the analysis of histological images, can serve as predictive biomarkers for PD-L1 and PFS. This approach, focused on histological images, enables the distinction of patients based on treatment response, thus providing clinicians with a valuable tool for patient management. With further validation on external cohorts, these models could enhance clinical decision-making through analysis of routine medical images.

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Publication Details

Journal
Journal of Translational Medicine
Published
2025-05-06
DOI
https://doi.org/10.1186/s12967-025-06487-2
Citations
4
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
4.18

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article

Computational analysis of whole slide images predicts PD-L1 expression and progression-free survival in immunotherapy-treated non-small cell lung cancer patients

Andréanne Gagné, Michele Orain, Mathieu Laplante, Sevinj Yolchuyeva et al.
4 citations
Journal of Translational Medicine
Cancer Immunotherapy and Biomarkers
4.18
article

Computational analysis of whole slide images predicts PD-L1 expression and progression-free survival in immunotherapy-treated non-small cell lung cancer patients

Andréanne Gagné, Michele Orain, Mathieu Laplante, Sevinj Yolchuyeva, Bertrand Routy, Marion Tonneau, Wiam Belkaïd, Arielle Elkrief, Alona Kolnohuz, Drew F. K. Williamson, Venkata Manem, Steve Bilodeau, Fabien Lamaze, Abdou Khadir Dia, Philippe Joubert, François Coulombe, Florence Blais, Julie Malo
article en
4 citations

Abstract

Our models, based on the analysis of histological images, can serve as predictive biomarkers for PD-L1 and PFS. This approach, focused on histological images, enables the distinction of patients based on treatment response, thus providing clinicians with a valuable tool for patient management. With further validation on external cohorts, these models could enhance clinical decision-making through analysis of routine medical images.

Journal of Translational MedicineVol. 23(1)
Emory University (US), Lung Institute (US), Centre hospitalier de l'Université Laval (CA), Centre Hospitalier de l’Université de Montréal (CA), Université Laval (CA)
Institut de Valorisation des Données, Fonds de Recherche du Québec - Santé
Reduced inequalities
Openalex Percentile: Top 6%
Cancer Immunotherapy and Biomarkers
4.18
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