Deep Learning Model for Predicting Immunotherapy Response in Advanced Non−Small Cell Lung Cancer

The findings of this cohort study demonstrate a strong and independent deep learning-based feature associated with ICI response in patients with NSCLC across various cohorts. Clinical use of this deep learning model could refine treatment precision and better identify patients who are likely to benefit from ICI for treatment of advanced NSCLC.

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Publication Details

Journal
JAMA Oncology
Published
2024-12-26
DOI
https://doi.org/10.1001/jamaoncol.2024.5356
Citations
64
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
18.08

Funders

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article

Deep Learning Model for Predicting Immunotherapy Response in Advanced Non−Small Cell Lung Cancer

David James Pinato, Tom Dønnem, Elin Richardsen, Fabrizio Citarella et al.
64 citations
JAMA Oncology
Cancer Immunotherapy and Biomarkers
18.08
article

Deep Learning Model for Predicting Immunotherapy Response in Advanced Non−Small Cell Lung Cancer

David James Pinato, Tom Dønnem, Elin Richardsen, Fabrizio Citarella, Cássio Murilo Trovo Hidalgo Filho, Ilias Houda, Biagio Ricciuti, Falah Jabar, Claudia Angela Maria Fulgenzi, Giuseppe Perrone, Åslaug Helland, Sayed M.S. Hashemi, Lorenzo Nibid, Alessio Cortellini, Elio Adib, Mehrdad Rakaee, Alessandro Di Federico, Idris Bahce, Masoud Tafavvoghi, Lill‐Tove Busund, Joao V. Alessi, Mark M. Awad, Lynette M. Sholl, David J. Kwiatkowski
article en
64 citations

Abstract

The findings of this cohort study demonstrate a strong and independent deep learning-based feature associated with ICI response in patients with NSCLC across various cohorts. Clinical use of this deep learning model could refine treatment precision and better identify patients who are likely to benefit from ICI for treatment of advanced NSCLC.

JAMA OncologyVol. 11(2)
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” (IT), Oslo University Hospital (NO), Brigham and Women's Hospital (US), University Hospital of North Norway (NO), Harvard University (US), Università Campus Bio-Medico (IT), University of Oslo (NO), Dana-Farber Cancer Institute (US), Campus Bio Medico University Hospital (IT), Imperial College London (GB), UiT The Arctic University of Norway (NO)
Amgen, Bristol-Myers Squibb, Eli Lilly and Company, AstraZeneca, GlaxoSmithKline, Brigham and Women's Hospital, Universitetet i Tromsø, Regeneron Pharmaceuticals, Universitetet i Oslo, Genentech, EMD Serono
Good health and well-being
Openalex Percentile: Top 0%
Cancer Immunotherapy and Biomarkers
18.08
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