Toward Response-Adaptive Therapy in Locally Advanced NSCLC: Integrating ctDNA and Radiomics for Risk Stratification

This spotlight highlights a novel multimodal risk stratification model for patients with locally advanced non-small cell lung cancer undergoing chemoradiation, integrating mid-treatment ctDNA kinetics with radiomic features from baseline imaging. The study by Moding and colleagues provides compelling proof-of-concept data for real-time response-adaptive therapy, though further work is needed to address implementation barriers and standardize these biomarkers for clinical use. See related article by Moding et al., p. 1609.

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Publication Details

Journal
Cancer Discovery
Published
2025-08-04
DOI
https://doi.org/10.1158/2159-8290.cd-25-0898
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.72
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article

Toward Response-Adaptive Therapy in Locally Advanced NSCLC: Integrating ctDNA and Radiomics for Risk Stratification

Charu Aggarwal, Valsamo Anagnostou
2 citations
Cancer Discovery
Radiomics and Machine Learning in Medical Imaging
2.72
article

Toward Response-Adaptive Therapy in Locally Advanced NSCLC: Integrating ctDNA and Radiomics for Risk Stratification

Charu Aggarwal, Valsamo Anagnostou
article en
2 citations

Abstract

This spotlight highlights a novel multimodal risk stratification model for patients with locally advanced non-small cell lung cancer undergoing chemoradiation, integrating mid-treatment ctDNA kinetics with radiomic features from baseline imaging. The study by Moding and colleagues provides compelling proof-of-concept data for real-time response-adaptive therapy, though further work is needed to address implementation barriers and standardize these biomarkers for clinical use. See related article by Moding et al., p. 1609.

Cancer DiscoveryVol. 15(8)
Johns Hopkins University (US), Johns Hopkins Medicine (US), Sidney Kimmel Comprehensive Cancer Center (US), University of Pennsylvania (US)
Good health and well-being
Openalex Percentile: Top 9%
Radiomics and Machine Learning in Medical Imaging
2.72
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Toward Response-Adaptive Therapy in Locally Advanced NSCLC: Integrating ctDNA and Radiomics for Risk Stratification — Charu Aggarwal, Valsamo Anagnostou · Cancer Discovery (2025) | TGRS Research Map | TGRS