Evidence map›Paper›PMID 24552987›Full record

ArticleHuman vaccines & immunotherapeutics2014

Immunologic biomarkers in prostate cancer: the AE37 paradigm.

Constantin N Baxevanis, Michael Papamichail, Sonia A Perez

Open access · bronzeAbstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 95% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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 at 1 institution in 1 country.

Constantin N BaxevanisCancer Immunology and Immunotherapy Center; Saint Savas Cancer Hospital; Athens, Greece.
Michael PapamichailCancer Immunology and Immunotherapy Center; Saint Savas Cancer Hospital; Athens, Greece.
Sonia A PerezCancer Immunology and Immunotherapy Center; Saint Savas Cancer Hospital; Athens, Greece.
St Savas Hospital · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One major achievement in cancer therapy is to select patients who will most likely benefit from a specific treatment. Predictive biomarkers play an important role in this respect being already useful in management of breast cancer and melanoma. For example, HER-2/neu (HER-2) overexpression selects for breast cancer patients to be treated with trastuzumab, and BRAFV600E mutations select for melanoma patients to be treated with vemurafenib. Identification of factors associated with T cell responsiveness to vaccination remains critical. Pre-existent immunity and circulating suppressor cells may regulate the levels of vaccine-specific T cell immunity after vaccination. The identification of immunologic endpoints to immunotherapy would thus considerably help guide the development of immunotherapy-based clinical trials. This commentary is based on a retrospective analysis we performed of data from prostate cancer patients vaccinated and boosted with the AE37 vaccine. The aim of these exploratory analyses was to identify factors useful in predicting which patients are more likely to respond to the treatment under study. The issue we are addressing here is to which extent common variables used pre- and/or following vaccinations with AE37 to assess the immune response status of the prostate cancer patients, may predict overall survival.

Indexed as

BiomarkersCancer VaccinesHumansImmunity, CellularMaleProstatic NeoplasmsT-LymphocytesAE37 vaccineBiomarkersCancer Vaccinesbiomarkerscancer vaccineHER-2/neuHLAprostate cancer

Identifiers

PMID24552987
PMCPMC4896604
OpenAlexW1557735667

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.