Evidence map›Paper›PMID 20518716›Full record

ReviewExpert review of vaccines2010

New flow cytometric assays for monitoring cell-mediated cytotoxicity.

Liubov Zaritskaya, Michael R Shurin, Thomas J Sayers, Anatoli M Malyguine

Open access · greenAbstract readReview
In one paragraph

Review in Expert review of vaccines, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 8% of its field
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

71 citing papers in PubMed, 2 syntheses or guidelines pooled it, 158 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review of in vitro approaches for assessing the toxicity of chemical stressors across diverse physiological systems.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Release Assays and Potency Assays for CAR T-Cell Interventions.Advances in experimental medicine and biology · 2023
    Article
  10. Article
  11. The role of nanoparticle format and route of administration on self-amplifying mRNA vaccine potency.Journal of controlled release : official journal of the Controlled Release Society · 2022
    Article
  12. Cytotoxic Efficiency of Human CD8Frontiers in immunology · 2022
    Article
  13. The Biodegradability andFrontiers in bioengineering and biotechnology · 2022
    Article
  14. Overcoming biological barriers to improve solid tumor immunotherapy.Drug delivery and translational research · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

11 more citing papers are in PubMed but not listed here.

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

4 authors at 3 institutions in 1 country.

Liubov ZaritskayaApplied and Developmental Research Support Program, SAIC-Frederick, Inc., National Cancer Institute at Frederick, Frederick, MD, USA.
Michael R Shurin
Thomas J Sayers
Anatoli M Malyguine
Science Applications International Corporation (United States) · USNational Cancer Institute · USUniversity of Pittsburgh Medical Center · US

Funding

Mechanisms of Immune-mediated Tumor Cell DestructionZIABC010012 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI SAYERS, THOMAS · 2009 to 2018
$3.3M
CCR NIH HHS HHSN261200800001CIntramural NIH HHS Z99 CA999999NCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

The exact immunologic responses after vaccination that result in effective antitumor immunity have not yet been fully elucidated and the data from ex vivo T-cell assays have not yet defined adequate surrogate markers for clinical efficacy. A more detailed knowledge of the specific immune responses that correlate with positive clinical outcomes should help to develop better or novel strategies to effectively activate the immune system against tumors. Furthermore, clinically relevant material is often limited and, thus, precludes the ability to perform multiple assays. The two main assays currently used to monitor lymphocyte-mediated cytoxicity in cancer patients are the (51)Cr-release assay and IFN-gamma ELISpot assay. The former has a number of disadvantages, including low sensitivity, poor labeling and high spontaneous release of isotope from some tumor target cells. Additional problems with the (51)Cr-release assay include difficulty in obtaining autologous tumor targets, and biohazard and disposal problems for the isotope. The ELISpot assays do not directly measure cytotoxic activity and are, therefore, a surrogate marker of cyotoxic capacity of effector T cells. Furthermore, they do not assess cytotoxicity mediated by the production of the TNF family of death ligands by the cytotoxic cells. Therefore, assays that allow for the simultaneous measurement of several parameters may be more advantageous for clinical monitoring. In this respect, multifactor flow cytometry-based assays are a valid addition to the currently available immunologic monitoring assays. Use of these assays will enable detection and enumeration of tumor-specific cytotoxic T lymphocytes and their specific effector functions and any correlations with clinical responses. Comprehensive, multifactor analysis of effector cell responses after vaccination may help to detect factors that determine the success or failure of a vaccine and its immunological potency.

Indexed as

Cytotoxicity, ImmunologicAnimalsApoptosisCancer VaccinesFlow CytometryHumansLysosomal-Associated Membrane Protein 1T-Lymphocytes, CytotoxicVaccinationCancer VaccinesLysosomal-Associated Membrane Protein 1

Identifiers

PMID20518716
PMCPMC2911950
OpenAlexW2029881808

What OpenQuestion holds

Textmetadata
LicenceTDM
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.