Literature DB >> 32569799

A Validated T Cell Radiomics Score Is Associated With Clinical Outcomes Following Multisite SBRT and Pembrolizumab.

Mark C Korpics1, Mei-Yin Polley2, Sandeep R Bhave1, Gage Redler1, Sean P Pitroda1, Jason J Luke3, Steven J Chmura4.   

Abstract

PURPOSE: Combining immune checkpoint blockade (ICB) with stereotactic body radiation therapy (SBRT) may improve the local response to radiation and the systemic response to immunotherapy. However, no prognostic markers exist to identify patients likely to benefit from combined therapy. The degree of T cell-mediated immunity, which can be quantified with radiomics using computed tomography (CT) imaging, is predictive of immunotherapy response. Herein we investigated whether a validated T cell radiomics score (RS) is correlated with clinical outcomes after multisite SBRT and pembrolizumab (SBRT + P). METHODS AND MATERIALS: The RS was quantified for 68 patients with metastatic treatment-refractory adult solid tumors who received SBRT (30-50 Gy, 3-5 fractions) and pembrolizumab ≤7 days after SBRT. RS was calculated using 8 variables, including 5 radiomics features extracted from pretreatment CT scans. At a prespecified cutoff of the 25th percentile, we assessed the association between RS and clinical outcomes. The Kaplan-Meier method was used to estimate survival outcomes. The prognostic effect of RS was assessed via logistic regression or Cox proportional hazards models. In an exploratory analysis, RS was also analyzed as a continuous variable.
RESULTS: One hundred thirty-nine tumors were analyzed. At the 25th percentile cutoff, high-RS patients were more likely to exhibit irradiated tumor responses to SBRT + P (odds ratio [OR] 10.2; 95% confidence interval [CI], 1.76-59.17; P = .012). High-RS was associated with improved TMC compared with low-RS tumors (hazard ratio [HR] 0.18; 95% CI, 0.04-0.74; P = .018). Furthermore, high-RS patients had improved PFS (HR 0.47, 95% CI, 0.26-0.85; P = .013) and OS (HR 0.39, 95% CI, 0.20-0.75; P = .005). As a continuous variable, higher RS was associated with improved PFS (HR 0.12, 95% CI, 0.03-0.51; P = .004) but did not reach statistical significance for TMC (HR 0.36, 95% CI, 0.02-7.02; P = .502) or OS (HR 0.28, 95% CI, 0.05-1.55; P = .144).
CONCLUSIONS: We demonstrated the clinical validity of RS (at the 25th percentile cutoff) as a prognostic biomarker in patients treated with SBRT + P. Future validation of the prognostic value of RS in larger similarly treated patient cohorts is warranted.
Copyright © 2020 Elsevier Inc. All rights reserved.

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Year:  2020        PMID: 32569799     DOI: 10.1016/j.ijrobp.2020.06.026

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  5 in total

Review 1.  Imaging approaches and radiomics: toward a new era of ultraprecision radioimmunotherapy?

Authors:  Roger Sun; Théophraste Henry; Adrien Laville; Alexandre Carré; Anthony Hamaoui; Sophie Bockel; Ines Chaffai; Antonin Levy; Cyrus Chargari; Charlotte Robert; Eric Deutsch
Journal:  J Immunother Cancer       Date:  2022-07       Impact factor: 12.469

2.  Radiomics to predict outcomes and abscopal response of patients with cancer treated with immunotherapy combined with radiotherapy using a validated signature of CD8 cells.

Authors:  Roger Sun; Nora Sundahl; Markus Hecht; Florian Putz; Andrea Lancia; Angela Rouyar; Marina Milic; Alexandre Carré; Enzo Battistella; Emilie Alvarez Andres; Stéphane Niyoteka; Edouard Romano; Guillaume Louvel; Jérôme Durand-Labrunie; Sophie Bockel; Rastilav Bahleda; Charlotte Robert; Celine Boutros; Maria Vakalopoulou; Nikos Paragios; Benjamin Frey; Jean-Charles Soria; Christophe Massard; Charles Ferté; Rainer Fietkau; Piet Ost; Udo Gaipl; Eric Deutsch
Journal:  J Immunother Cancer       Date:  2020-11       Impact factor: 13.751

Review 3.  Role of radiomics in predicting immunotherapy response.

Authors:  Gargi Kothari
Journal:  J Med Imaging Radiat Oncol       Date:  2022-05-17       Impact factor: 1.667

Review 4.  A 'Hybrid' Radiotherapy Regimen Designed for Immunomodulation: Combining High-Dose Radiotherapy with Low-Dose Radiotherapy.

Authors:  Hongshan Ji; Zhiguo Zhou
Journal:  Cancers (Basel)       Date:  2022-07-19       Impact factor: 6.575

Review 5.  Artificial intelligence and radiomics: fundamentals, applications, and challenges in immunotherapy.

Authors:  Laurent Dercle; Jeremy McGale; Shawn Sun; Aurelien Marabelle; Randy Yeh; Eric Deutsch; Fatima-Zohra Mokrane; Michael Farwell; Samy Ammari; Heiko Schoder; Binsheng Zhao; Lawrence H Schwartz
Journal:  J Immunother Cancer       Date:  2022-09       Impact factor: 12.469

  5 in total

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