Peripheral blood CD3+HLADR+ cells and associated gut microbiome species predict response and overall survival to immune checkpoint blockade

Abstract

BackgroundThe search for biomarkers to identify ideal candidates for immune checkpoint inhibitor (ICI) therapy is fundamental. In this study, we analyze peripheral blood CD3+HLADR+ cells (activated T-cells) as a novel biomarker for ICI therapy and how its association to certain gut microbiome species can indicate individual treatment outcomes.MethodsFlow cytometry analysis of peripheral mononuclear blood cells (PBMCs) was performed on n=70 patients undergoing ICI therapy for solid malignancies to quantify HLA-DR on circulating CD3+ cells. 16s-rRNA sequencing of stool samples was performed on n=37 patients to assess relative abundance of gut microbiota.ResultsPatients with a higher frequency of CD3+HLADR+ cells before treatment initiation showed a significantly reduced tumor response and overall survival (OS), a worst response and experienced less toxicities to ICI therapy. As such, patients with a frequency of CD3+HLADR+ cells above an ideal cut-off value of 18.55% had a median OS of only 132 days compared to 569 days for patients below. Patients with increasing CD3+HLADR+ cell counts during therapy had a significantly improved OS. An immune signature score comprising CD3+HLADR+ cells and the neutrophil-lymphocyte ratio (NLR) was highly significant for predicting OS before and during therapy. When allied to the relative abundance of microbiota from the Burkholderiales order and the species Bacteroides vulgatus, two immune-microbial scores revealed a promising predictive and prognostic power.ConclusionWe identify the frequencies and dynamics of CD3+HLADR+ cells as an easily accessible prognostic marker to predict outcome to ICIs, and how these could be associated with immune modulating microbiome species. Two unprecedented immune-microbial scores comprising CD3+HLADR+, NLR and relative abundance of gut bacteria from the Burkhorderiales order or Bacteroides vulgatus species could accurately predict OS to immune checkpoint blockade.

Immunological profiling for short-term predictive analysis in PD-1/PD-L1 therapy for lung cancer

“…It indicates the restoration of the body’s immune system following PD-1/PD-L1 treatment, leading to the reconstruction of anti-tumor immunity [ 24 ]. The previous studies indicated that, in lung cancer [ 25 ] and renal cell carcinoma [ 26 ] patients receiving ICI therapy, CD8 + T cells with effector-like phenotypes (HLA-DR+, CD38+) proliferated, while HLA-DR + CD3 + T cells increase after ICI therapy across various types of tumors [ 27 ], aligning with our results. Tumor biomarkers, including CEA, SCC, Cyfra 21 − 1, and NSE, serve as crucial indicators in predicting treatment response in lung cancer patients undergoing ICI therapy [ 28 – 30 ].…”