Integrating ctDNA Analysis and Radiomics for Dynamic Risk Assessment in Localized Lung Cancer

This study demonstrates that combining tumor features, radiomics, and ctDNA analysis improves outcome prediction in NSCLC treated with CRT therapy. Our integrated model could enable personalized and response-adapted therapies to reduce toxicity and improve outcomes in patients. See related commentary by Anagnostou and Aggarwal, p. 1534.

Authors

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Publication Details

Journal
Cancer Discovery
Published
2025-04-29
DOI
https://doi.org/10.1158/2159-8290.cd-24-1704
Citations
10
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
9.36

Funders

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article

Integrating ctDNA Analysis and Radiomics for Dynamic Risk Assessment in Localized Lung Cancer

Alice L. Jiang, Maximilian Diehn, Pablo Lopez, Cheng Jin et al.
10 citations
Cancer Discovery
Cancer Genomics and Diagnostics
9.36
article

Integrating ctDNA Analysis and Radiomics for Dynamic Risk Assessment in Localized Lung Cancer

Alice L. Jiang, Maximilian Diehn, Pablo Lopez, Cheng Jin, Ash A. Alizadeh, Ruijiang Li, Mohammad Shahrokh Esfahani, Billy W. Loo, Kavitha Ramchandran, Barzin Y. Nabet, Jianzhong He, Everett J. Moding, Yufei Liu, Emily G. Hamilton, Joel W. Neal, Heather A. Wakelee, Rene F. Bonilla, Luyang Yao, Michael S. Binkley, Chih Long Liu, Michael F. Gensheimer, Sukhmani K. Padda, Millie Das, Angela B. Hui, David M. Kurtz, Aadel A. Chaudhuri, Jacob J. Chabon, Steven Hsesheng Lin, Ting Xu, Zhongxing Liao, Zhe Li, Saumil Gandhi, Brianna C. Lau, Yawei Qiao
article en
10 citations

Abstract

This study demonstrates that combining tumor features, radiomics, and ctDNA analysis improves outcome prediction in NSCLC treated with CRT therapy. Our integrated model could enable personalized and response-adapted therapies to reduce toxicity and improve outcomes in patients. See related commentary by Anagnostou and Aggarwal, p. 1534.

Cancer DiscoveryVol. 15(8)
Mayo Clinic (US), The University of Texas MD Anderson Cancer Center (US), California Institute for Regenerative Medicine (US), VA Palo Alto Health Care System (US), Institute for Stem Cell Biology and Regenerative Medicine (IN), Mayo Clinic in Arizona (US), Stanford Medicine (US), Mayo Clinic in Florida (US), Stanford University (US)
Conquer Cancer Foundation, American Society for Radiation Oncology, Radiological Society of North America, Virginia and D.K. Ludwig Fund for Cancer Research, Bakewell Foundation, National Cancer Institute
Good health and well-being
Openalex Percentile: Top 2%
Cancer Genomics and Diagnostics
9.36
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