医学
肿瘤科
放射治疗
免疫疗法
免疫检查点
内科学
免疫系统
黑色素瘤
转移性黑色素瘤
仿形(计算机编程)
免疫学
癌症研究
计算机科学
操作系统
作者
Gishan Ratnayake,Simone Reinwald,Jack Edwards,Nicholas C. Wong,Di Yu,Rachel Ward,Roy E. Smith,Andrew Haydon,Pei M. Au,Menno C. van Zelm,Sashendra Senthi
标识
DOI:10.1016/j.radonc.2022.06.016
摘要
Background The addition of stereotactic ablative radiotherapy (SABR) to immune checkpoint inhibitors (ICIs) has the potential to significantly improve outcomes in the treatment of metastatic melanoma. We analysed peripheral blood immune cells of patients receiving combination SABR and ICI to detect the effect of treatment and identify potential biomarkers that predict outcome. Methods 24 polymetastatic melanoma patients participated in the SABR IMPACT trial, receiving standard dose immunotherapy with anti-PD-1 and/or anti-CTLA-4 and stereotactic ablative radiotherapy to one site. Comprehensive immunophenotyping of T-cells was performed with flow cytometry on blood samples from 13 patients at baseline and following the first 4 cycles of treatment. Results Following four cycles of immunotherapy and SABR, the proportion of naïve subsets were reduced within both the CD4 and CD8 T-cell lineages. Independently, SABR resulted in increased expression of PD-1 (p = 0.019) and ICOS (p = 0.046) on the CD8+ T-cells, accompanied by a reduction in regulatory T-cell frequencies (p = 0.048). A multivariate discriminant analysis revealed a baseline signature of lower levels of CD8+ naive T-cells and higher expression of TIM-3 on regulatory T-cells and memory T-cells better predicted response. Conclusion The combination of immunotherapy and SABR changed the immunophenotype of blood T cells, with some shifts attributable to SABR. Importantly, we identified a T-cell signature at baseline that best predicted response. Validation of these findings in an independent cohort could confirm these as biomarkers at baseline or early during treatment, and whether these can be utilised to stratify patients for high or low intensity treatment to reduce toxicity.
科研通智能强力驱动
Strongly Powered by AbleSci AI