| Literature DB >> 32647353 |
Nicholas G Nickols1,2,3,4, Ekambaram Ganapathy1, Christine Nguyen1, Nathanael Kane1, Lin Lin2, Silvia Diaz-Perez1, Ramin Nazarian2, Colleen Mathis2, Care Felix1, Vince Basehart1, Nazy Zomorodian2, Jae Kwak2, Amar U Kishan1,2,4, Christopher R King1, Patrick A Kupelian1, Matthew B Rettig2,4, Michael L Steinberg1,4, Minsong Cao1, Beatrice S Knudsen5, Fang-I Chu1, Tahmineh Romero6, David Elashoff4,6, Robert E Reiter2,4, Dörthe Schaue7,8.
Abstract
BACKGROUND: Hundreds of ongoing clinical trials combine radiation therapy, mostly delivered as stereotactic body radiotherapy (SBRT), with immune checkpoint blockade. However, our understanding of the effect of radiotherapy on the intratumoral immune balance is inadequate, hindering the optimal design of trials that combine radiation therapy with immunotherapy. Our objective was to characterize the intratumoral immune balance of the malignant prostate after SBRT in patients.Entities:
Mesh:
Year: 2020 PMID: 32647353 PMCID: PMC7794088 DOI: 10.1038/s41391-020-0249-8
Source DB: PubMed Journal: Prostate Cancer Prostatic Dis ISSN: 1365-7852 Impact factor: 5.554
Figure 1.Prostate SBRT drives a lymphoid-to-myeloid shift in the balance of infiltrating immune cells.
Polar graph illustrating the mean log2-fold differences in prostate tumor infiltrates following pre-operative, hypofractionated SBRT (n=9, solid red line) compared to unirradiated prostate tumors (n=7, black, dotted line). All immune subpopulations were gated on CD45+. Data are log2[mean value irradiated/mean value unirradiated]. Myeloid subsets highlighted in green. Underlined subsets indicate significant differences between irradiated vs non-irradiated based on adjusted p value = 0.2 (false discovery rate threshold).
Figure 2.Irradiated prostate cancer patients cluster into treatment cohorts according to immune cell infiltrates.
Heatmap showing the SBRT-treated patient cohort having greater inter-patient variability and a rise in myeloid lineage (green) dominance compared to the unirradiated patient cohort that is overall more uniform and dominated by lymphoid subsets. Heatmap was constructed by normalizing each immune cell subset across the all subjects. Values are z-scores for each immune subset in each patient.