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Interplay between MRI radiomics and immune gene expression signatures in oral squamous cell carcinoma.
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- معلومة اضافية
- المصدر:
Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
- بيانات النشر:
Original Publication: London : Nature Publishing Group, copyright 2011-
- الموضوع:
- نبذة مختصرة :
Competing Interests: Declarations. Competing interests: The authors declare no competing interests. Ethics approval and consent to participate: The protocols were approved by the Ethical Committees of the participating centers, and data acquisition followed the General Data Protection Regulation of the EU. All patients signed the informed consent. Consent for publication: All authors have read and approved the manuscript and agree with submission.
With the advances in immunotherapy and the challenge of poor responsiveness in oral squamous cell carcinoma (OSCC) patients, understanding the tumor microenvironment is crucial. Radiogenomics offers the potential to provide pre-operative, non-invasive image-derived immune biomarkers. To this aim, the present study explores the capability of MRI-based radiomics to describe patients' immune state in OSCC. Seven MRI-based radiomic, 29 immune-related gene expression signatures were computed and deconvolution analysis was performed for a subset of OSCC from the BD2Decide database. A correlation-driven analysis identified key associations between radiomic and immune-related signatures and cell populations. Radiomic classifiers of the gene expression signatures were then developed to evaluate their capability to stratify patients based on immune status. MRI-based radiomic models showed promising results in predicting a gene expression signature associated with significant prognostic value for HNSCC patients who underwent radiotherapy (AUC = 0.92), suggesting these models' potential in distinguishing radioresistant from radiosensitive patients, aiding treatment decisions. Additionally, radiomic signatures reflected immune infiltrating cells in our cohort (M1, CD8 + T, B cells). MRI-radiomic signatures and associated models could become non-invasive methods to evaluate the prognosis and treatment choice in OSCC patients. Based on our promising results, and upon external validation, MRI-radiomics could enhance personalized medicine approaches.
(© 2025. The Author(s).)
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- Grant Information:
PNC0000003 National Plan for NRRP Complementary Investments; IG23573 Associazione Italiana Ricerca Cancro
- Contributed Indexing:
Keywords: Cluster analysis; Head and neck cancer; Magnetic resonance imaging; Radiogenomic; Radiomic features; Transcriptomic signatures; Tumor microenvironment
- الرقم المعرف:
0 (Biomarkers, Tumor)
- الموضوع:
Date Created: 20250412 Date Completed: 20250412 Latest Revision: 20250415
- الموضوع:
20250415
- الرقم المعرف:
PMC11993570
- الرقم المعرف:
10.1038/s41598-025-96821-x
- الرقم المعرف:
40221527
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