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Penter L, Zhang Y, Savell A, Huang T, Cieri N, Thrash EM, Kim-Schulze S, Jhaveri A, Fu J, Ranasinghe S, Li S, Zhang W, Hathaway ES, Nazzaro M, Kim HT, Chen H, Thurin M, Rodig SJ, Severgnini M, Cibulskis C, Gabriel S, Livak KJ, Cutler C, Antin JH, Nikiforow S, Koreth J, Ho VT, Armand P, Ritz J, Streicher H, Neuberg D, Hodi FS, Gnjatic S, Soiffer RJ, Liu XS, Davids MS, Bachireddy P, Wu CJ. Molecular and cellular features of CTLA-4 blockade for relapsed myeloid malignancies after transplantation. Blood 2021; 137:3212-3217. [PMID: 33720354 PMCID: PMC8351891 DOI: 10.1182/blood.2021010867] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 02/23/2021] [Indexed: 02/07/2023] Open
Abstract
Relapsed myeloid disease after allogeneic stem cell transplantation (HSCT) remains largely incurable. We previously demonstrated the potent activity of immune checkpoint blockade in this clinical setting with ipilimumab or nivolumab. To define the molecular and cellular pathways by which CTLA-4 blockade with ipilimumab can reinvigorate an effective graft-versus-leukemia (GVL) response, we integrated transcriptomic analysis of leukemic biopsies with immunophenotypic profiling of matched peripheral blood samples collected from patients treated with ipilimumab following HSCT on the Experimental Therapeutics Clinical Trials Network 9204 trial. Response to ipilimumab was associated with transcriptomic evidence of increased local CD8+ T-cell infiltration and activation. Systemically, ipilimumab decreased naïve and increased memory T-cell populations and increased expression of markers of T-cell activation and costimulation such as PD-1, HLA-DR, and ICOS, irrespective of response. However, responding patients were characterized by higher turnover of T-cell receptor sequences in peripheral blood and showed increased expression of proinflammatory chemokines in plasma that was further amplified by ipilimumab. Altogether, these data highlight the compositional T-cell shifts and inflammatory pathways induced by ipilimumab both locally and systemically that associate with successful GVL outcomes. This trial was registered at www.clinicaltrials.gov as #NCT01822509.
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Affiliation(s)
- Livius Penter
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA
- Harvard Medical School, Boston, MA
- Department of Hematology, Oncology, and Tumorimmunology, Campus Virchow Klinikum, Berlin, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Yi Zhang
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Alexandra Savell
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Teddy Huang
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Translational Immunogenomics Laboratory and
| | - Nicoletta Cieri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA
- Harvard Medical School, Boston, MA
| | - Emily M Thrash
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Seunghee Kim-Schulze
- Human Immune Monitoring Center at the Icahn School of Medicine at Mount Sinai, New York, NY
| | - Aashna Jhaveri
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Jingxin Fu
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | | | - Shuqiang Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA
- Translational Immunogenomics Laboratory and
| | - Wandi Zhang
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Emma S Hathaway
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Matthew Nazzaro
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Haesook T Kim
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Helen Chen
- Cancer Therapy Evaluation Program, National Cancer Institute, Bethesda, MD; and
| | - Magdalena Thurin
- Cancer Therapy Evaluation Program, National Cancer Institute, Bethesda, MD; and
| | | | | | - Carrie Cibulskis
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA
| | - Stacey Gabriel
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA
| | - Kenneth J Livak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Translational Immunogenomics Laboratory and
| | - Corey Cutler
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Joseph H Antin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Sarah Nikiforow
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - John Koreth
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Vincent T Ho
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Philippe Armand
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Jerome Ritz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Howard Streicher
- Cancer Therapy Evaluation Program, National Cancer Institute, Bethesda, MD; and
| | - Donna Neuberg
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - F Stephen Hodi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Sacha Gnjatic
- Human Immune Monitoring Center at the Icahn School of Medicine at Mount Sinai, New York, NY
| | - Robert J Soiffer
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - X Shirley Liu
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Matthew S Davids
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Pavan Bachireddy
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA
- Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Catherine J Wu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA
- Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
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