Evidence map›Paper›PMID 21732821›Full record

ReviewOmics : a journal of integrative biology2011

Therapeutic cancer vaccines and translating vaccinomics science to the global health clinic: emerging applications toward proof of concept.

Megan M O'Meara, Mary L Disis

Abstract readReview
In one paragraph

Review in Omics : a journal of integrative biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Is the "3+3" dose-escalation phase I clinical trial design suitable for therapeutic cancer vaccine development? A recommendation for alternative design.Clinical cancer research : an official journal of the American Association for Cancer Research · 2014
    Pooled it
  2. Immunoproteomics: The Evolution from Classical Methods to Emerging Techniques.Methods in molecular biology (Clifton, N.J.) · 2026
    Review
  3. Review
  4. Article
  5. Developments in cancer vaccines for hepatocellular carcinoma.Cancer immunology, immunotherapy : CII · 2016
    Review
  6. Review
  7. Autoimmune thyroid disease elicited by NY-ESO-1 vaccination.Thyroid : official journal of the American Thyroid Association · 2014
    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.

Megan M O'MearaTumor Vaccine Group, Center for Translational Medicine in Women's Health, University of Washington, Seattle, Washington 98195-8050, USA.
Mary L Disis

Funding

INSTITUTE FOR TRANSLATIONAL HEALTH SCIENCE (UL1): BPCAUL1RR025014 · NCRR · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2007 to 2011
$51.5M
TRAINING IN CANCER BIOLOGY &TRANSPLANTATIONT32CA009515 · NCI · UNIVERSITY OF WASHINGTON · PI NANCY ELLEN DAVIDSON, Effie W Petersdorf · 1985 to 2026
$16.2M
Immune diagnostics and vaccine targets: breast cancer antigens from mice to womenU01CA141539 · NCI · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2009 to 2013
$3.7M
NCI NIH HHS T32CA009515NCI NIH HHS U01CA141539NCRR NIH HHS UL1RR025014
6 · The paper itself

Abstract

As vaccines evolve to be a more common treatment for some cancers, further research is needed to improve the process of developing vaccines and assessing response to treatment. Vaccinomics involves a wide-ranging integration of multiple high throughput technologies including transcriptional, translational, and posttranslational population-based assessments of the human genome, transcriptome, proteome, and immunome. Vaccinomics combines the fields of immunogenetics, immunogenomics, immunoproteomics, and basic immunology to create vaccines that are tailor made to an individual or groups of individuals. This broad range of omics applications to tumor immunology includes antigen discovery, diagnostic biomarkers, cancer vaccine development, predictors of immune response, and clinical response biomarkers. These technologies have aided in the advancement of cancer vaccine development, as illustrated in examples including NY-ESO-1 originally defined by SEREX, and HER2/neu peptides analyzed via high-throughput epitope prediction methods. As technology improves, it presents an opportunity to improve cancer immunotherapy on a global scale, and attention must also be given to utilize these high-throughput methods for the understanding of cancer and immune signatures across populations.

Indexed as

Global HealthAnimalsAntigens, NeoplasmCancer VaccinesClinical Trials as TopicGene Expression ProfilingGenome-Wide Association StudyGenomicsHigh-Throughput Screening AssaysHumansNeoplasmsPharmacogeneticsProteomicsAntigens, NeoplasmCancer Vaccines

Identifiers

PMID21732821
PMCPMC3166179

What OpenQuestion holds

Textmetadata
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.