Evidence map›Paper›PMID 40266527›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Development of ELISA Assay for Antibody Detection in Cancer Vaccine Research.

Alina Brosque, Ayelet Gonen

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Alina BrosqueSchool of Neurobiology, Biochemistry and Biophysics. George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
Ayelet GonenAG BioConsulting, La Jolla, CA, USA. agonen@ag-bioconsulting.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer vaccines represent a promising strategy in tumor immunotherapy, aiming to elicit robust immune responses against tumor-specific antigens. The accurate measurement of antibody responses is critical in evaluating vaccine efficacy. Enzyme-linked immunosorbent assay (ELISA) offers a reliable, sensitive, and specific method for this purpose. This chapter discusses the development and optimization of ELISA for detecting total and antigen-specific antibodies in cancer vaccine research. Key considerations include customization of ELISA protocols, optimization of assay parameters, and selection of appropriate buffer systems, substrates, and controls. By standardizing these elements, researchers can achieve consistent and reproducible results, advancing the field of cancer immunotherapy and enhancing our understanding of immune mechanisms in oncology.

Indexed as

Antibodies, NeoplasmCancer VaccinesNeoplasmsAnimalsAntigens, NeoplasmEnzyme-Linked Immunosorbent AssayHumansImmunotherapyAntibodies, NeoplasmAntigens, NeoplasmCancer VaccinesAntibody detectionAntigenELISAImmune responseVaccine efficacy

Identifiers

What OpenQuestion holds

Textmetadata
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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.