Evidence map›Paper›PMID 28148223›Full record

ArticleBMC immunology2017

Effect of cryopreservation on delineation of immune cell subpopulations in tumor specimens as determinated by multiparametric single cell mass cytometry analysis.

Elma Kadić, Raymond J Moniz, Ying Huo, An Chi, Ilona Kariv

Abstract read
In one paragraph

Article in BMC immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. TIGIT Expression Delineates T-cell Populations with Distinct Functional and Prognostic Impact in Pancreatic Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  5. Article
  6. Isolation of Lymphocytes from Human Skin and Murine Tissues: A Rapid and Epitope-Preserving Approach.JID innovations : skin science from molecules to population health · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. High-Dimensional Data Analysis Algorithms Yield Comparable Results for Mass Cytometry and Spectral Flow Cytometry Data.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2020
    Article
  14. Article
  15. Article
  16. CD45RAJournal for immunotherapy of cancer · 2019
    Article
  17. Review
  18. 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

5 authors.

Elma KadićDepartment of Pharmacology, Cellular Pharmacology, Merck and Co. Inc, 33 Avenue Louis Pasteur, Boston, 02115, MA, USA.
Raymond J MonizDepartment of Biology-Discovery, Immunooncology, Merck and Co. Inc, Boston, MA, USA.
Ying HuoDepartment of Pharmacology, Cellular Pharmacology, Merck and Co. Inc, 33 Avenue Louis Pasteur, Boston, 02115, MA, USA.
An ChiDepartment of Chemistry, Capabilities Enhancement, Merck and Co. Inc, Boston, MA, USA.
Ilona KarivDepartment of Pharmacology, Cellular Pharmacology, Merck and Co. Inc, 33 Avenue Louis Pasteur, Boston, 02115, MA, USA. Ilona_Kariv@merck.com.ORCID 0000-0002-0171-0456

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComprehensive understanding of cellular immune subsets involved in regulation of tumor progression is central to the development of cancer immunotherapies. Single cell immunophenotyping has historically been accomplished by flow cytometry (FC) analysis, enabling the analysis of up to 18 markers. Recent advancements in mass cytometry (MC) have facilitated detection of over 50 markers, utilizing high resolving power of mass spectrometry (MS). This study examined an analytical and operational feasibility of MC for an in-depth immunophenotyping analysis of the tumor microenvironment, using the commercial CyTOF™ instrument, and further interrogated challenges in managing the integrity of tumor specimens.

resultsInitial longitudinal studies with frozen peripheral blood mononuclear cells (PBMCs) showed minimal MC inter-assay variability over nine independent runs. In addition, detection of common leukocyte lineage markers using MC and FC detection confirmed that these methodologies are comparable in cell subset identification. An advanced multiparametric MC analysis of 39 total markers enabled a comprehensive evaluation of cell surface marker expression in fresh and cryopreserved tumor samples. This comparative analysis revealed significant reduction of expression levels of multiple markers upon cryopreservation. Most notably myeloid derived suppressor cells (MDSC), defined by co-expression of CD66b

conclusionThese results suggest that optimization and evaluation of cryopreservation protocols is necessary for accurate biomarker discovery in frozen tumor specimens.

Indexed as

CryopreservationCarcinogenesisCarcinoma, Renal CellCell DifferentiationCell LineageCell SeparationColorectal NeoplasmsFeasibility StudiesHumansImmunophenotypingMass SpectrometryMyeloid-Derived Suppressor CellsPhenotypeSingle-Cell AnalysisTumor MicroenvironmentCryopreservationCyTOF™Flow cytometry (FC)ImmunophenotypingMass Cytometry (MC)Tumor infiltrating lymphocytes (TILs)Tumor microenvironment (TME)Tumor samplesViSNE

Identifiers

PMID28148223
PMCPMC5288879

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.