Fluidigm Mass Cytometry Technologies, Including CyTOF, Imaging Mass Cytometry and Maxpar Direct, Utilized in More than 100 National Clinical Trials
Fluidigm® mass cytometry technologies have been deployed in multiple clinical trials related to the COVID-19 pandemic, including evaluation of immune response at different stages of the disease process and assessment of response to therapy at the cellular and molecular levels. These technologies are also being used in clinical trials for diverse indications and interventions in immuno-oncology, oncology, autoimmune diseases, vaccines, infections, surgery, blood and immune disorders, immunology, and allergy.
“The large and growing number of clinical trials utilizing our mass cytometry technologies is evidence of our progress in implementing our vision to improve life through comprehensive health insight,” said
“The rapid deployment of our technologies to support clinical research addressing the current global health crisis demonstrates the flexibility with which those technologies can be adapted to meet specific and urgent research objectives, including pandemic response.”
Examples of the diverse ways in which
- “Immunophenotyping Assessment in a COVID-19 Cohort (IMPACC)” (NCT04378777), “a prospective observational cohort surveillance study of up to 2,000 adult participants hospitalized with known or presumptive COVID-19,” explores how certain immunological measures correspond to, or may even predict, the clinical severity of disease. Ten leading
U.S.medical institutions are engaged in the study, which is sponsored by the National Institutes of Healthand uses CyTOF and the Maxpar® Direct™ Immune Profiling Assay™.
- “Collection of Immunology Specimens From Patients With Cancer or Blood Disorders, and Healthy Volunteers” (NCT03207854), a retrospective clinical trial designed to “identify changes in immune system parameters in patients receiving immunotherapies and compare” them to changes in “patients receiving conventional chemotherapy, targeted-agent therapy, and healthy normal volunteers.” This trial uses CyTOF.
- “Olaparib in Treating Patients with Advanced Glioma, Cholangiocarcinoma, or Solid Tumors with IDH1 or IDH2 Mutations” (NCT03212274), a phase II trial designed to evaluate “how well olaparib works in treating patients with glioma, cholangiocarcinoma, or solid tumors with IDH1 or IDH2 mutations that have spread to other places in the body and usually cannot be cured or controlled with treatment.” An exploratory objective of this study is to determine whether co-occurring genetic alterations are associated with levels of 2-hydroxyglutarate (a marker of cancer progression), treatment response, and resistance to therapy. This trial uses CyTOF and IMC.
- “Study of a New MVA Vaccine for Hepatitis C Virus” (NCT01296451), a study designed to assess the safety and efficacy of a new hepatitis C virus vaccine that will also evaluate cellular immune responses following vaccine administration. This trial uses CyTOF to perform deep profiling of cell phenotype and functional state, all in a single tube.
- “In-depth Immunological Investigation of COVID-19 (COntAGIouS)” (NCT04327570), an observational clinical trial designed to provide an “in-depth characterization of the dynamic host immune response to coronavirus SARS-CoV-2” using a transdisciplinary approach “to identify host factors resulting in hyper-susceptibility to SARS-CoV-2 infection, which is urgently needed for directed medical interventions.” This trial uses CyTOF, the Maxpar Direct Immune Profiling Assay, and the Maxpar Pathsetter™ data analysis solution.
Commenting on the COntAGIouS trial, Professor
“This is important, because when we’re evaluating up to 40 parameters at a time for each cell—which is straightforward using CyTOF—analyzing even a few hundred thousand cells generates enormous amounts of data. With Maxpar Pathsetter we were able to establish a data analysis structure that rapidly yielded results that helped inform our understanding of the immune response to the virus and provided insights into how to potentially improve management of infected patients. In addition, we performed extensive bioinformatics analyses to integrate all 40 markers to a maximal extent and deep-phenotype each blood sample.”
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