Evidence map›Paper›PMID 24195078›Full record

ReviewBioMed research international2013

Immune monitoring in cancer vaccine clinical trials: critical issues of functional flow cytometry-based assays.

Iole Macchia, Francesca Urbani, Enrico Proietti

Abstract readReview
In one paragraph

Review in BioMed research international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Immune Landscape in Kidney Transplantation.Journal of inflammation research · 2025
    Review
  5. Article
  6. flowSim: Near duplicate detection for flow cytometry data.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2023
    Article
  7. Article
  8. Designing Clinical Trials for Combination Immunotherapy: A Framework for Glioblastoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Polyfunctionality of CD4Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2018
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

3 authors.

Iole MacchiaDepartment of Hematology, Oncology and Molecular Medicine, Istituto Superiore di Sanità, 00161 Rome, Italy.
Francesca Urbani
Enrico Proietti

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of immune monitoring assays is essential to determine the immune responses against tumor-specific antigens (TSAs) and tumor-associated antigens (TAAs) and their possible correlation with clinical outcome in cancer patients receiving immunotherapies. Despite the wide range of techniques used, to date these assays have not shown consistent results among clinical trials and failed to define surrogate markers of clinical efficacy to antitumor vaccines. Multiparameter flow cytometry- (FCM-) based assays combining different phenotypic and functional markers have been developed in the past decade for informative and longitudinal analysis of polyfunctional T-cells. These technologies were designed to address the complexity and functional heterogeneity of cancer biology and cellular immunity and to define biomarkers predicting clinical response to anticancer treatment. So far, there is still a lack of standardization of some of these immunological tests. The aim of this review is to overview the latest technologies for immune monitoring and to highlight critical steps involved in some of the FCM-based cellular immune assays. In particular, our laboratory is focused on melanoma vaccine research and thus our main goal was the validation of a functional multiparameter test (FMT) combining different functional and lineage markers to be applied in clinical trials involving patients with melanoma.

Indexed as

AnimalsAntigens, NeoplasmBiomarkers, TumorCancer VaccinesClinical Trials as TopicFlow CytometryHumansMelanomaT-LymphocytesAntigens, NeoplasmBiomarkers, TumorCancer Vaccines

Identifiers

PMID24195078
PMCPMC3806162

What OpenQuestion holds

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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.