Evidence map›Paper›PMID 36466867›Full record

ArticleFrontiers in immunology2022

Multiplex flow cytometry-based assay for quantifying tumor- and virus-associated antibodies induced by immunotherapies.

Jessica A Minott, Jacob P van Vloten, Jacob G E Yates, Lily Chan, Geoffrey A Wood, Alicia M Viloria-Petit, Khalil Karimi, James J Petrik, Sarah K Wootton, Byram W Bridle

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

10 authors at 1 institution in 1 country.

Jessica A MinottDepartment of Pathobiology, University of Guelph, Guelph, ON, Canada.
Jacob P van VlotenDepartment of Pathobiology, University of Guelph, Guelph, ON, Canada.
Jacob G E YatesDepartment of Pathobiology, University of Guelph, Guelph, ON, Canada.
Lily ChanDepartment of Pathobiology, University of Guelph, Guelph, ON, Canada.
Geoffrey A WoodDepartment of Pathobiology, University of Guelph, Guelph, ON, Canada.
Alicia M Viloria-PetitDepartment of Biomedical Sciences, University of Guelph, Guelph, ON, Canada.
Khalil KarimiDepartment of Pathobiology, University of Guelph, Guelph, ON, Canada.
James J PetrikDepartment of Biomedical Sciences, University of Guelph, Guelph, ON, Canada.
Sarah K WoottonDepartment of Pathobiology, University of Guelph, Guelph, ON, Canada.
Byram W BridleDepartment of Pathobiology, University of Guelph, Guelph, ON, Canada.
University of Guelph · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Novel immunotherapies continue to be developed and tested for application against a plethora of diseases. The clinical translation of immunotherapies requires an understanding of their mechanisms. The contributions of antibodies in driving long-term responses following immunotherapies continue to be revealed given their diverse effector functions. Developing an in-depth understanding of the role of antibodies in treatment efficacy is required to optimize immunotherapies and improve the chance of successfully translating them into the clinic. However, analyses of antibody responses can be challenging in the context of antigen-agnostic immunotherapies, particularly in the context of cancers that lack pre-defined target antigens. As such, robust methods are needed to evaluate the capacity of a given immunotherapy to induce beneficial antibody responses, and to identify any therapy-limiting antibodies. We previously developed a comprehensive method for detecting antibody responses induced by antigen-agnostic immunotherapies for application in pre-clinical models of vaccinology and cancer therapy. Here, we extend this method to a high-throughput, flow cytometry-based assay able to identify and quantify isotype-specific virus- and tumor-associated antibody responses induced by immunotherapies using small sample volumes with rapid speed and high sensitivity. This method provides a valuable and flexible protocol for investigating antibody responses induced by immunotherapies, which researchers can use to expand their analyses and optimize their own treatment regimens.

Indexed as

ImmunotherapyNeoplasmsAntibodiesBiological AssayFlow CytometryHumansAntibodiesantibody responseflow cytometryimmunotherapyoncolytic virusvirus-vectored vaccines

Identifiers

PMID36466867
PMCPMC9708883
OpenAlexW4309315241

What Socratic 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 Socratic graph.