ArticleJournal for immunotherapy of cancer2022
Radiomics to evaluate interlesion heterogeneity and to predict lesion response and patient outcomes using a validated signature of CD8 cells in advanced melanoma patients treated with anti-PD1 immunotherapy.
Article in Journal for immunotherapy of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 33 citations in OpenAlex.
- Challenges and opportunities in combining radiotherapy and immunotherapy for localized pancreatic cancer.Nature reviews. Gastroenterology & hepatology · 2026Review
- Nomogram combining ultrasound radiomics and clinical factors for predicting placenta accreta spectrum in patients with placenta previa: a two-center study.BMC medical imaging · 2026Article
- Repeatability of Semi-Quantitative and Volumetric Features from Artificial-Intelligence-Guided Lesion Segmentation onTomography (Ann Arbor, Mich.) · 2026Article
- Modality-level attribution and redundancy-aware radiomics for MRI-based differentiation of melanoma and NSCLC brain metastases.Frontiers in oncology · 2026Article
- Towards a personalized utilization of stereotactic body radiotherapy for the management of liver metastases in solid tumors.Cancer metastasis reviews · 2025Review
- Measured intrapatient radiomic variability as a predictor of treatment response in multi-metastatic soft tissue sarcoma patients.Scientific reports · 2025Article
- Spatial-temporal radiogenomics in predicting neoadjuvant chemotherapy efficacy for breast cancer: a comprehensive review.Journal of translational medicine · 2025Review
- Review
- Radiomic analysis of patient and interorgan heterogeneity in response to immunotherapies and BRAF-targeted therapy in metastatic melanoma.Journal for immunotherapy of cancer · 2025Article
- Multi-omics spatial characteristics of CD8Frontiers in immunology · 2025Article
- Textural heterogeneity of liver lesions in CT imaging - comparison of colorectal and pancreatic metastases.Abdominal radiology (New York) · 2024Article
- Inter- and intra-tumoral heterogeneity on [EJNMMI reports · 2024Article
- Radiomic-based prediction of lesion-specific systemic treatment response in metastatic disease.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2024Article
- Radiomic-Based Prediction of Lesion-Specific Systemic Treatment Response in Metastatic Disease.medRxiv : the preprint server for health sciences · 2024Article
- Screening of gastric cancer diagnostic biomarkers in the homologous recombination signaling pathway and assessment of their clinical and radiomic correlations.Cancer medicine · 2024Article
- The Immune Landscape of Pheochromocytoma and Paraganglioma: Current Advances and Perspectives.Endocrine reviews · 2024Review
- Radiomic-Based Approaches in the Multi-metastatic Setting: A Quantitative Review.medRxiv : the preprint server for health sciences · 2024Article
- Rapidly Evolving Pre- and Post-surgical Systemic Treatment of Melanoma.American journal of clinical dermatology · 2024Review
- Comprehensive assessment of immune context and immunotherapy response via noninvasive imaging in gastric cancer.The Journal of clinical investigation · 2024Article
- TGF-β mRNA levels in circulating extracellular vesicles are associated with response to anti-PD1 treatment in metastatic melanoma.Frontiers in molecular biosciences · 2024Article
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Authors and funding
17 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeWhile there is still a significant need to identify potential biomarkers that can predict which patients are most likely to respond to immunotherapy treatments, radiomic approaches have shown promising results. The objectives of this study were to evaluate whether a previously validated radiomics signature of CD8 T-cells could predict progressions at a lesion level and whether the spatial heterogeneity of this radiomics score could be used at a patient level to assess the clinical response and survival of melanoma patients.
methodsClinical data from patients with advanced melanoma treated in our center with immunotherapy were retrieved. Radiomic features were extracted and the CD8 radiomics signature was applied. A progressive lesion was defined by an increase in lesion size of 20% or more. Dispersion metrics of the radiomics signature were estimated to evaluate the impact of interlesion heterogeneity on patient's response. Fine-tuned cut-offs for predicting overall survival were evaluated after splitting data into training and test sets.
resultsA total of 136 patients were included in this study, with 1120 segmented lesions at baseline, and 1052 lesions at first evaluation. A low CD8 radiomics score at baseline was associated with a significantly higher risk of lesion progression (AUC=0.55, p=0.0091), especially for lesions larger than >1 mL (AUC=0.59 overall, p=0.0035, with AUC=0.75, p=0.002 for subcutaneous lesions, AUC=0.68, p=0.01, for liver lesions and AUC=0.62, p=0.03 for nodes). The least infiltrated lesion according to the radiomics score of CD8 T-cells was positively associated with overall survival (training set HR=0.31, p=0.00062, test set HR=0.28, p=0.016), which remained significant in a multivariate analysis including clinical and biological variables.
conclusionsThese results confirm the predictive value at a lesion level of the biologically inspired CD8 radiomics score in melanoma patients treated with anti-PD1-based immunotherapy and may be interesting to assess the disease spatial heterogeneity to evaluate the patient prognosis with potential clinical implication such as tumor selection for focal ablative therapies.
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