A Signature of T Cell Exhaustion Is Enriched in the Bone Marrow (BM) of AML Patients and Shared with Immune Exhaustion Signatures of Solid Tumors

Background: T cells are key players in immunotherapy but our understanding of their role and function in AML is limited. We have previously shown that following induction chemotherapy, the phenotypic and transcriptional profiles of peripheral blood (PB) CD8+ T cells in AML diverge between complete r...

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Veröffentlicht in:Blood 2019-11, Vol.134 (Supplement_1), p.2711-2711
Hauptverfasser: Knaus, Hanna A., Hackl, Hubert, Blackford, Amanda, Berglund, Sofia, Montiel-Esparza, Raul, Zeidner, Joshua F, Gojo, Ivana, Luznik, Leo
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Sprache:eng
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Zusammenfassung:Background: T cells are key players in immunotherapy but our understanding of their role and function in AML is limited. We have previously shown that following induction chemotherapy, the phenotypic and transcriptional profiles of peripheral blood (PB) CD8+ T cells in AML diverge between complete responders (CR) and non-responders (NR) to treatment (Knaus et al, JCI insight 2018). Further defining AML-induced T cell dysfunction is critical for immune monitoring and developing novel immunotherapeutic strategies. Aims: 1. To characterize transcriptional differences between PB vs BM T cells of AML patients, similar to concept of circulating vs tumor infiltrating lymphocytes (TILs), and compare them to established immunologic signatures of solid tumors. 2. To examine the cumulative expression of multiple inhibitory receptors (IRs) on AML CD8+ T cells and their dynamics in PB vs BM at diagnosis (PRE-treatment) and POST-induction chemotherapy. Methods: To study transcriptional signatures, we FACS-purified CD8+ T cells from BM of 6 AML patients (3 CR and 3 NR) PRE- and POST-induction chemotherapy whose PB T cells we analyzed and published previously (Knaus et al, JCI insight 2018). Samples were hybridized to the Human Prime View Gene Expression Array (Affymetrix). Expression fold change (FC), p-values and FDR were calculated. We compared our data set to those of dysfunctional T-cell signatures from non-small cell lung cancer (NSCLC: Guo et al, Nature 2018), colorectal cancer (CRC; Zhang et al, Nature 2018) and hepatocellular carcinoma (HCC; Zheng et al, Cell 2017) using gene set enrichment analyses (GSEA) and considered a normalized enrichment score NES>2 and FDR
ISSN:0006-4971
1528-0020
DOI:10.1182/blood-2019-128742