Literature DB >> 26966176

Myelodysplastic Syndrome Revealed by Systems Immunology in a Melanoma Patient Undergoing Anti-PD-1 Therapy.

P Brent Ferrell1,2, Jonathan M Irish3,1, Allison R Greenplate3,1, Douglas B Johnson2, Mikael Roussel1,4, Michael R Savona2, Jeffrey A Sosman2, Igor Puzanov2.   

Abstract

Antibodies aimed at blocking the interaction between programmed cell death-1 (PD-1) and its ligands have shown impressive efficacy in a variety of malignancies and are generally well tolerated. Research has focused intensely on T cells and their interaction with cells within melanoma tumors, while relatively little is understood about the systems immunology of the cells in the blood during checkpoint inhibitor therapy. Longitudinal cytomic analysis using mass cytometry can characterize all the cells in a small sample of blood and has the potential to reveal key shifts in the cellular milieu occurring during treatment. We report a case of advanced melanoma in which mass cytometry detected abnormal myeloid cells resulting from myelodysplastic syndrome (MDS) in the blood following treatment with an anti-PD-1 agent. Myeloid blasts comprised <1% of peripheral blood mononuclear cells (PBMC) 1 month after the start of treatment. Six months after starting therapy, myeloid blasts comprised 5% of PBMCs, and a bone marrow biopsy confirmed refractory anemia with excess blasts-2 (RAEB-2). Longitudinal mass cytometry immunophenotyping comprehensively characterized blast phenotype evolution and revealed elevated PD-1 expression on the surface of nonblast myeloid cells. These findings highlight the clinical significance of cytomic monitoring, indicate that the myeloid compartment should be monitored during checkpoint inhibitor therapy, and emphasize the value of systems immunology in medicine. Cancer Immunol Res; 4(6); 474-80. ©2016 AACR. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 26966176      PMCID: PMC4891280          DOI: 10.1158/2326-6066.CIR-15-0213

Source DB:  PubMed          Journal:  Cancer Immunol Res        ISSN: 2326-6066            Impact factor:   11.151


  24 in total

1.  Differential expression of PD-L1 and PD-L2, ligands for an inhibitory receptor PD-1, in the cells of lymphohematopoietic tissues.

Authors:  Masayoshi Ishida; Yoshiko Iwai; Yoshimasa Tanaka; Taku Okazaki; Gordon J Freeman; Nagahiro Minato; Tasuku Honjo
Journal:  Immunol Lett       Date:  2002-10-21       Impact factor: 3.685

2.  In vitro stimulation of peripheral blood mononuclear cells by phytohaemagglutinin A induces CD45RA expression on monocytes.

Authors:  D Brohée; N Higuet
Journal:  Cytobios       Date:  1992

3.  Beyond the age of cellular discovery.

Authors:  Jonathan Michael Irish
Journal:  Nat Immunol       Date:  2014-12       Impact factor: 25.606

4.  Methods for discovery and characterization of cell subsets in high dimensional mass cytometry data.

Authors:  Kirsten E Diggins; P Brent Ferrell; Jonathan M Irish
Journal:  Methods       Date:  2015-05-13       Impact factor: 3.608

5.  Single-cell mass cytometry analysis of human tonsil T cell remodeling by varicella zoster virus.

Authors:  Nandini Sen; Gourab Mukherjee; Adrish Sen; Sean C Bendall; Phillip Sung; Garry P Nolan; Ann M Arvin
Journal:  Cell Rep       Date:  2014-07-17       Impact factor: 9.423

6.  Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients.

Authors:  Roy S Herbst; Jean-Charles Soria; Marcin Kowanetz; Gregg D Fine; Omid Hamid; Michael S Gordon; Jeffery A Sosman; David F McDermott; John D Powderly; Scott N Gettinger; Holbrook E K Kohrt; Leora Horn; Donald P Lawrence; Sandra Rost; Maya Leabman; Yuanyuan Xiao; Ahmad Mokatrin; Hartmut Koeppen; Priti S Hegde; Ira Mellman; Daniel S Chen; F Stephen Hodi
Journal:  Nature       Date:  2014-11-27       Impact factor: 49.962

7.  Variation in the human immune system is largely driven by non-heritable influences.

Authors:  Petter Brodin; Vladimir Jojic; Tianxiang Gao; Sanchita Bhattacharya; Cesar J Lopez Angel; David Furman; Shai Shen-Orr; Cornelia L Dekker; Gary E Swan; Atul J Butte; Holden T Maecker; Mark M Davis
Journal:  Cell       Date:  2015-01-15       Impact factor: 41.582

8.  Safety, activity, and immune correlates of anti-PD-1 antibody in cancer.

Authors:  Suzanne L Topalian; F Stephen Hodi; Julie R Brahmer; Scott N Gettinger; David C Smith; David F McDermott; John D Powderly; Richard D Carvajal; Jeffrey A Sosman; Michael B Atkins; Philip D Leming; David R Spigel; Scott J Antonia; Leora Horn; Charles G Drake; Drew M Pardoll; Lieping Chen; William H Sharfman; Robert A Anders; Janis M Taube; Tracee L McMiller; Haiying Xu; Alan J Korman; Maria Jure-Kunkel; Shruti Agrawal; Daniel McDonald; Georgia D Kollia; Ashok Gupta; Jon M Wigginton; Mario Sznol
Journal:  N Engl J Med       Date:  2012-06-02       Impact factor: 91.245

9.  Clinical significance of phenotypic features of blasts in patients with myelodysplastic syndrome.

Authors:  Kiyoyuki Ogata; Kyoko Nakamura; Norio Yokose; Hideto Tamura; Mikiko Tachibana; Osamu Taniguchi; Rika Iwakiri; Tatsuyuki Hayashi; Hisashi Sakamaki; Yoshiro Murai; Kaoru Tohyama; Shigeru Tomoyasu; Yasunobu Nonaka; Mayumi Mori; Kazuo Dan; Yataro Yoshida
Journal:  Blood       Date:  2002-07-18       Impact factor: 22.113

10.  High-dimensional analysis of the murine myeloid cell system.

Authors:  Burkhard Becher; Andreas Schlitzer; Jinmiao Chen; Florian Mair; Hermi R Sumatoh; Karen Wei Weng Teng; Donovan Low; Christiane Ruedl; Paola Riccardi-Castagnoli; Michael Poidinger; Melanie Greter; Florent Ginhoux; Evan W Newell
Journal:  Nat Immunol       Date:  2014-10-12       Impact factor: 25.606

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  10 in total

1.  Mass cytometry deep phenotyping of human mononuclear phagocytes and myeloid-derived suppressor cells from human blood and bone marrow.

Authors:  Mikael Roussel; P Brent Ferrell; Allison R Greenplate; Faustine Lhomme; Simon Le Gallou; Kirsten E Diggins; Douglas B Johnson; Jonathan M Irish
Journal:  J Leukoc Biol       Date:  2017-04-11       Impact factor: 4.962

2.  Computational Immune Monitoring Reveals Abnormal Double-Negative T Cells Present across Human Tumor Types.

Authors:  Allison R Greenplate; Daniel D McClanahan; Brian K Oberholtzer; Deon B Doxie; Caroline E Roe; Kirsten E Diggins; Nalin Leelatian; Megan L Rasmussen; Mark C Kelley; Vivian Gama; Peter J Siska; Jeffrey C Rathmell; P Brent Ferrell; Douglas B Johnson; Jonathan M Irish
Journal:  Cancer Immunol Res       Date:  2018-11-09       Impact factor: 11.151

3.  Preparing Viable Single Cells from Human Tissue and Tumors for Cytomic Analysis.

Authors:  Nalin Leelatian; Deon B Doxie; Allison R Greenplate; Justine Sinnaeve; Rebecca A Ihrie; Jonathan M Irish
Journal:  Curr Protoc Mol Biol       Date:  2017-04-03

4.  Picturing Polarized Myeloid Phagocytes and Regulatory Cells by Mass Cytometry.

Authors:  Mikael Roussel; Todd Bartkowiak; Jonathan M Irish
Journal:  Methods Mol Biol       Date:  2019

5.  Single-cell profiling of the antigen-specific response to BNT162b2 SARS-CoV-2 RNA vaccine.

Authors:  Kevin J Kramer; Erin M Wilfong; Kelsey Voss; Sierra M Barone; Andrea R Shiakolas; Nagarajan Raju; Caroline E Roe; Naveenchandra Suryadevara; Lauren M Walker; Steven C Wall; Ariana Paulo; Samuel Schaefer; Debolanle Dahunsi; Camille S Westlake; James E Crowe; Robert H Carnahan; Jeffrey C Rathmell; Rachel H Bonami; Ivelin S Georgiev; Jonathan M Irish
Journal:  Nat Commun       Date:  2022-06-16       Impact factor: 17.694

6.  Mass Cytometry of Follicular Lymphoma Tumors Reveals Intrinsic Heterogeneity in Proteins Including HLA-DR and a Deficit in Nonmalignant Plasmablast and Germinal Center B-Cell Populations.

Authors:  Cara Ellen Wogsland; Allison Rae Greenplate; Arne Kolstad; June Helen Myklebust; Jonathan Michael Irish; Kanutte Huse
Journal:  Cytometry B Clin Cytom       Date:  2017-01       Impact factor: 3.058

7.  Generating Quantitative Cell Identity Labels with Marker Enrichment Modeling (MEM).

Authors:  Kirsten E Diggins; Jocelyn S Gandelman; Caroline E Roe; Jonathan M Irish
Journal:  Curr Protoc Cytom       Date:  2018-01-18

8.  Characterizing cell subsets using marker enrichment modeling.

Authors:  Kirsten E Diggins; Allison R Greenplate; Nalin Leelatian; Cara E Wogsland; Jonathan M Irish
Journal:  Nat Methods       Date:  2017-01-30       Impact factor: 28.547

9.  CD28 costimulation drives tumor-infiltrating T cell glycolysis to promote inflammation.

Authors:  Kathryn E Beckermann; Rachel Hongo; Xiang Ye; Kirsten Young; Katie Carbonell; Diana C Contreras Healey; Peter J Siska; Sierra Barone; Caroline E Roe; Christof C Smith; Benjamin G Vincent; Frank M Mason; Jonathan M Irish; W Kimryn Rathmell; Jeffrey C Rathmell
Journal:  JCI Insight       Date:  2020-08-20

10.  Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy.

Authors:  Sierra M Barone; Alberta Ga Paul; Lyndsey M Muehling; Joanne A Lannigan; William W Kwok; Ronald B Turner; Judith A Woodfolk; Jonathan M Irish
Journal:  Elife       Date:  2021-08-05       Impact factor: 8.713

  10 in total

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