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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.
Sun, Roger; Lerousseau, Marvin; Briend-Diop, Jade; Routier, Emilie; Roy, Severine; Henry, Théophraste; Ka, Kanta; Jiang, Rui; Temar, Nawal; Carré, Alexandre; Laville, Adrien; Hamaoui, Anthony; Laurent, Pierre-Antoine; Rouyar, Angela; Robert, Charlotte; Robert, Caroline; Deutsch, Eric.
Afiliação
  • Sun R; Department of Radiation Oncology, Gustave Roussy, Villejuif, France.
  • Lerousseau M; Université Paris Saclay, Inserm U1030, Radiothérapie Moléculaire et Innovation Thérapeutique, Gustave Roussy, Villejuif, France.
  • Briend-Diop J; Université Paris Saclay, Inserm U1030, Radiothérapie Moléculaire et Innovation Thérapeutique, Gustave Roussy, Villejuif, France.
  • Routier E; Université Paris Saclay, Inserm U1030, Radiothérapie Moléculaire et Innovation Thérapeutique, Gustave Roussy, Villejuif, France.
  • Roy S; Dermatology Unit, Department of Medicine, Gustave Roussy, Villejuif, France.
  • Henry T; Université Paris Saclay, Inserm U981, Prédicteurs moléculaires et nouvelles cibles en oncologie, Gustave Roussy, Villejuif, France.
  • Ka K; Dermatology Unit, Department of Medicine, Gustave Roussy, Villejuif, France.
  • Jiang R; Université Paris Saclay, Inserm U981, Prédicteurs moléculaires et nouvelles cibles en oncologie, Gustave Roussy, Villejuif, France.
  • Temar N; Université Paris Saclay, Inserm U1030, Radiothérapie Moléculaire et Innovation Thérapeutique, Gustave Roussy, Villejuif, France.
  • Carré A; Imaging Department, Gustave Roussy, Villejuif, France.
  • Laville A; Department of Radiation Oncology, Gustave Roussy, Villejuif, France.
  • Hamaoui A; Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Laurent PA; Department of Radiation Oncology, Gustave Roussy, Villejuif, France.
  • Rouyar A; Université Paris Saclay, Inserm U1030, Radiothérapie Moléculaire et Innovation Thérapeutique, Gustave Roussy, Villejuif, France.
  • Robert C; Université Paris Saclay, Inserm U1030, Radiothérapie Moléculaire et Innovation Thérapeutique, Gustave Roussy, Villejuif, France.
  • Robert C; Université Paris Saclay, Inserm U1030, Radiothérapie Moléculaire et Innovation Thérapeutique, Gustave Roussy, Villejuif, France.
  • Deutsch E; Université Paris Saclay, Inserm U1030, Radiothérapie Moléculaire et Innovation Thérapeutique, Gustave Roussy, Villejuif, France.
J Immunother Cancer ; 10(10)2022 10.
Article em En | MEDLINE | ID: mdl-36307149
ABSTRACT

PURPOSE:

While 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.

METHODS:

Clinical 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.

RESULTS:

A 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.

CONCLUSIONS:

These 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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imunoterapia / Melanoma Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Immunother Cancer Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imunoterapia / Melanoma Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Immunother Cancer Ano de publicação: 2022 Tipo de documento: Article