Evidence map›Paper›PMID 36214223›Full record

ArticleJCI insight2022

Integrated T cell cytometry metrics for immune-monitoring applications in immunotherapy clinical trials.

Dimitrios N Sidiropoulos, Genevieve L Stein-O'Brien, Ludmila Danilova, Nicole E Gross, Soren Charmsaz, Stephanie Xavier, James Leatherman, Hao Wang, Mark Yarchoan, Elizabeth M Jaffee and 2 more

Abstract read
In one paragraph

Article in JCI insight, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Application of mass cytometry in the immune microenvironment of breast cancer.Medical oncology (Northwood, London, England) · 2025
    Review
  5. Article
  6. Review
  7. Transcriptional repression by HDAC3 mediates T cell exclusion fromProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. Review
  10. Review
  11. Biomarkers for immunotherapy of hepatocellular carcinoma.Nature reviews. Clinical oncology · 2023
    Review
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Dimitrios N SidiropoulosJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Genevieve L Stein-O'BrienJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Ludmila DanilovaJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Nicole E GrossJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Soren CharmsazJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Stephanie XavierJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.
James LeathermanJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Hao WangJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Mark YarchoanJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Elizabeth M JaffeeJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Elana J FertigJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Won Jin HoJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI WILLIAM George NELSON · 1985 to 2026
$208.6M
Tumor Antigens for Individual Signatures and TherapyP50CA062924 · NCI · JOHNS HOPKINS UNIVERSITY · PI JAFFEE, ELIZABETH M. · 1993 to 2022
$54.6M
ONCOLOGY: CHEMOTHERAPY, IMMUNOLOGY, BIOLOGYT32CA009071 · NCI · JOHNS HOPKINS UNIVERSITY · PI Mary Y Armanios, Nilofer S. Azad · 1985 to 2026
$12.8M
Transforming Human Pancreatic Cancer Into An Immunologic DiseaseP01CA247886 · NCI · JOHNS HOPKINS UNIVERSITY · PI JAFFEE, ELIZABETH M. · 2021 to 2025
$12.7M
Targeting the Immunosuppressive Tumor Microenvironment of Pancreatic Cancer with a Neoadjuvant Platform Clinical TrialR01CA197296 · NCI · JOHNS HOPKINS UNIVERSITY · PI William Reece Burns, Eric Christenson · 2015 to 2026
$5.7M
Integrating bioinformatics into multiscale models for hepatocellular carcinomaU01CA212007 · NCI · JOHNS HOPKINS UNIVERSITY · PI EWALD, ANDREW JOSEF, FERTIG, ELANA · 2018 to 2022
$3.2M
Delineating chromatin-related gene expression signatures as a function of HNSCC progressionR01DE027809 · NIDCR · UNIVERSITY OF MARYLAND BALTIMORE · PI GAYKALOVA, DARIA A, IZUMCHENKO, EVGENY (EUGENE) G · 2019 to 2023
$2.6M
Dynamical Models of Cetuximab Resistance in HNSCC Based on Serial Genomics DataR01CA177669 · NCI · JOHNS HOPKINS UNIVERSITY · PI FERTIG, ELANA · 2014 to 2019
$1.8M
Single-cell and imaging data integration software to spatially resolve the tumor microenvironmentU01CA253403 · NCI · JOHNS HOPKINS UNIVERSITY · PI FERTIG, ELANA · 2020 to 2022
$1.2M
Identification of quantitative ocular trait genes in the Beaver Dam EyeR01EY021531 · NEI · JOHNS HOPKINS UNIVERSITY · PI DUGGAL, PRIYA, KLEIN, ALISON P · 2011 to 2013
$1.2M
Comprehensive Analysis and Multi-Omics Data Integration for Cancer-Related StudiesR50CA243627 · NCI · JOHNS HOPKINS UNIVERSITY · PI Ludmila Danilova · 2019 to 2026
$975k
Resolving Spatiotemporal Determinants of Cell Specification in Corticogenesis with Latent Space MethodsR00NS122085 · NINDS · JOHNS HOPKINS UNIVERSITY · PI STEIN-O'BRIEN, GENEVIEVE LAUREN · 2023 to 2025
$697k
NCI NIH HHS F31 CA268724NCI NIH HHS P01 CA247886NCI NIH HHS P30 CA006973NCI NIH HHS P50 CA062924NCI NIH HHS R01 CA177669NCI NIH HHS R01 CA197296NCI NIH HHS R21 CA264004NCI NIH HHS R50 CA243627NCI NIH HHS T32 CA009071NCI NIH HHS U01 CA212007NCI NIH HHS U01 CA253403NIDCR NIH HHS R01 DE027809NINDS NIH HHS K99 NS122085NINDS NIH HHS R00 NS122085
6 · The paper itself

Abstract

Mass cytometry, or cytometry by TOF (CyTOF), provides a robust means of determining protein-level measurements of more than 40 markers simultaneously. While the functional states of immune cells occur along continuous phenotypic transitions, cytometric studies surveying cell phenotypes often rely on static metrics, such as discrete cell-type abundances, based on canonical markers and/or restrictive gating strategies. To overcome this limitation, we applied single-cell trajectory inference and nonnegative matrix factorization methods to CyTOF data to trace the dynamics of T cell states. In the setting of cancer immunotherapy, we showed that patient-specific summaries of continuous phenotypic shifts in T cells could be inferred from peripheral blood-derived CyTOF mass cytometry data. We further illustrated that transfer learning enabled these T cell continuous metrics to be used to estimate patient-specific cell states in new sample cohorts from a reference patient data set. Our work establishes the utility of continuous metrics for CyTOF analysis as tools for translational discovery.

Indexed as

Flow CytometryT-LymphocytesBiomarkersClinical Trials as TopicImmunologic FactorsImmunotherapyMonitoring, ImmunologicBiomarkersImmunologic FactorsBioinformaticsCancer immunotherapyImmunologyOncologyStatistics

Identifiers

PMID36214223
PMCPMC9675468

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.