Evidence map›Paper›PMID 23682078›Full record

ArticleCancer prevention research (Philadelphia, Pa.)2013

Identification of putative immunologic targets for colon cancer prevention based on conserved gene upregulation from preinvasive to malignant lesions.

Elizabeth K Broussard, Rachel Kim, Jesse C Wiley, Juan Pablo Marquez, James E Annis, David Pritchard, Mary L Disis

Open access · greenAbstract readComparative Study
In one paragraph

Article in Cancer prevention research (Philadelphia, Pa.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Colorectal cancer prevention: Immune modulation taking the stage.Biochimica et biophysica acta. Reviews on cancer · 2018
    Review
  11. The dawn of vaccines for cancer prevention.Nature reviews. Immunology · 2018
    Review
  12. Article
  13. Review
  14. Biomarkers in Tumorigenesis Using Cancer Cell Lines: A Systematic ReviewAsian Pacific journal of cancer prevention : APJCP · 2017
    Article
  15. Article
  16. Cancer immunoprevention.Current opinion in immunology · 2016
    Review
  17. Transforming Cancer Prevention through Precision Medicine and Immune-oncology.Cancer prevention research (Philadelphia, Pa.) · 2016
    Article
  18. Article
  19. Cancer immunoprevention--the next frontier.Cancer prevention research (Philadelphia, Pa.) · 2014
    Review
  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

7 authors at 1 institution in 1 country.

Elizabeth K BroussardTumor Vaccine Group, Center for Translational Medicine in Women's Health, University of Washington, Seattle, WA 98109, USA. elizabethb@medicine.washington.edu
Rachel Kim
Jesse C Wiley
Juan Pablo Marquez
James E Annis
David Pritchard
Mary L Disis
University of Washington · US

Funding

Institute of Translational Health SciencesKL2TR000421 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$12.6M
NCATS NIH HHS KL2 TR000421NCATS NIH HHS KL2TR000421NCI NIH HHS N01 CN053300NCI NIH HHS N01-CN-53300PHS HHS HHSN261-200533000C
6 · The paper itself

Abstract

The length of time required for preinvasive adenoma to progress to carcinoma, the immunogenicity of colorectal cancer (CRC), and the identification of high-risk populations make development and testing of a prophylactic vaccine for the prevention of CRC possible. We hypothesized that genes upregulated in adenoma relative to normal tissue, which maintained increased expression in CRC, would encode proteins suitable as putative targets for immunoprevention. We evaluated existing adenoma and CRC microarray datasets and identified 160 genes that were ≥2-fold upregulated in both adenoma and CRC relative to normal colon tissue. We further identified 23 genes that showed protein overexpression in colon adenoma and CRC based on literature review. Silencing the most highly upregulated genes, CDH3, CLDN1, KRT23, and MMP7, in adenoma and CRC cell lines resulted in a significant decrease in viability (P < 0.0001) and proliferation (P < 0.0001) as compared to controls and an increase in cellular apoptosis (P < 0.05 for CDH3, KRT23). Results were duplicated across cell lines representing microsatellite instability, CpG island methylator, and chromosomal instability phenotypes, suggesting immunologic elimination of cells expressing these proteins could impact the progression of all CRC phenotypes. To determine whether these proteins were immunogens, we interrogated sera from early stage CRC patients and controls and found significantly elevated CDH3 (P = 0.006), KRT23 (P = 0.0007), and MMP7 (P < 0.0001) serum immunoglobulin G in cases as compared to controls. These data show a high throughput approach to the identification of biologically relevant putative immunologic targets for CRC and identified three candidates suitable for vaccine development.

Indexed as

Gene Expression Regulation, NeoplasticAdenomaAdultAgedAged, 80 and overApoptosisBiomarkers, TumorBlotting, WesternCadherinsCase-Control StudiesCell ProliferationClaudin-1Colorectal NeoplasmsDNA MethylationEnzyme-Linked Immunosorbent AssayFemaleBiomarkers, TumorCadherinsCDH3 protein, humanClaudin-1CLDN1 protein, humanKeratins, Type IKRT23 protein, humanMatrix Metalloproteinase 7MMP7 protein, humanRNA, MessengerRNA, Small Interfering

Identifiers

PMID23682078
PMCPMC3718634
OpenAlexW2121673507

What OpenQuestion holds

Textmetadata
LicenceTDM
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.