In:
Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 38, No. 15_suppl ( 2020-05-20), p. e15046-e15046
Abstract:
e15046 Background: Advances in immuno-oncology (IO), i.e., programmed cell-death protein 1 (PD-1) inhibitors, are revolutionizing cancer treatment by offering hope for a cure. However, the benefit of IO agents in metastatic breast cancer (MBC) remains limited. For immunotherapy to be successful, it is essential to understand the tumor immune contexture. Systemic immune alterations, such as the signature of peripheral blood mononuclear cells (PBMC) and cytokine expression, are one of the hallmarks of successful immunotherapy in MBC. The abscopal effect induced by radiation therapy (RT) is known to be a modulator of systemic immune alterations, and the abscopal effect is considered as a systemic anti-tumor immune response. In this study, we integrated time series multi-omics data in order to identify alteration of the immune signatures after RT combined with nivolumab, a PD-1 inhibitor, using a longitudinal liquid biopsy with artificial intelligence. Methods: This study was conducted as translational research, part of the KBCRN-B-002 trial, which is a multicenter phase Ib/II study evaluating the safety and efficacy of nivolumab in combination with RT in patients with HER2-negative MBC (UMIN: UMIN000026046). Twenty-nine patients were included in the translational analysis set. The multi-omics data included data from RNAseq, mass cytometry (CyTOF) and multiple cytokines, using PBMC, serum and plasma. We collected time series data, which covered the baseline, two weeks after starting therapy, four weeks after starting therapy and the timing of progressive disease. For integrated analysis of the multi-omics data, a machine-learning method was developed. Results: Our integrated analysis (involving a longitudinal liquid biopsy and machine-learning method) identified an apparent cluster of responder groups and alteration of the systemic immune signatures. Single-cell analysis using CyTOF results including the signature of the immune cell composition, effector immune cells and immune suppressor cells. Conclusions: Our method clustered responders well and identified candidates of the systemic immune signatures for actionable hallmarks of RT combined with IO agent by a longitudinal liquid biopsy. Clinical trial information: NCT03430479 .
Type of Medium:
Online Resource
ISSN:
0732-183X
,
1527-7755
DOI:
10.1200/JCO.2020.38.15_suppl.e15046
Language:
English
Publisher:
American Society of Clinical Oncology (ASCO)
Publication Date:
2020
detail.hit.zdb_id:
2005181-5
