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Enhancing NSCLC recurrence prediction with PET/CT habitat imaging, ctDNA, and integrative radiogenomics-blood insights.

Authors :
Sujit SJ
Aminu M
Karpinets TV
Chen P
Saad MB
Salehjahromi M
Boom JD
Qayati M
George JM
Allen H
Antonoff MB
Hong L
Hu X
Heeke S
Tran HT
Le X
Elamin YY
Altan M
Vokes NI
Sheshadri A
Lin J
Zhang J
Lu Y
Behrens C
Godoy MCB
Wu CC
Chang JY
Chung C
Jaffray DA
Wistuba II
Lee JJ
Vaporciyan AA
Gibbons DL
Heymach J
Zhang J
Cascone T
Wu J
Source :
Nature communications [Nat Commun] 2024 Apr 11; Vol. 15 (1), pp. 3152. Date of Electronic Publication: 2024 Apr 11.
Publication Year :
2024

Abstract

While we recognize the prognostic importance of clinicopathological measures and circulating tumor DNA (ctDNA), the independent contribution of quantitative image markers to prognosis in non-small cell lung cancer (NSCLC) remains underexplored. In our multi-institutional study of 394 NSCLC patients, we utilize pre-treatment computed tomography (CT) and <superscript>18</superscript> F-fluorodeoxyglucose positron emission tomography (FDG-PET) to establish a habitat imaging framework for assessing regional heterogeneity within individual tumors. This framework identifies three PET/CT subtypes, which maintain prognostic value after adjusting for clinicopathologic risk factors including tumor volume. Additionally, these subtypes complement ctDNA in predicting disease recurrence. Radiogenomics analysis unveil the molecular underpinnings of these imaging subtypes, highlighting downregulation in interferon alpha and gamma pathways in the high-risk subtype. In summary, our study demonstrates that these habitat imaging subtypes effectively stratify NSCLC patients based on their risk levels for disease recurrence after initial curative surgery or radiotherapy, providing valuable insights for personalized treatment approaches.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
2041-1723
Volume :
15
Issue :
1
Database :
MEDLINE
Journal :
Nature communications
Publication Type :
Academic Journal
Accession number :
38605064
Full Text :
https://doi.org/10.1038/s41467-024-47512-0