Evidence map›Paper›PMID 19037092›Full record

ReviewCarcinogenesis2009

Mouse models for the study of colon carcinogenesis.

Daniel W Rosenberg, Charles Giardina, Takuji Tanaka

Open access · bronzeAbstract readReview
In one paragraph

Review in Carcinogenesis, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 190 papers.

0numbers the graph read from it
0cells of the map it votes in
190citing papers in PubMed
10.3field-weighted citation impact, top 1% 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

190 citing papers in PubMed, 427 citations in OpenAlex.

  1. Article
  2. Article
  3. Frequent Detection of Abasic Sites andChemical research in toxicology · 2026
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Rat Models of Breast Cancer.Advances in experimental medicine and biology · 2025
    Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

130 more citing papers are in PubMed but not listed here.

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 3 institutions in 2 countries.

Daniel W RosenbergCenter for Molecular Medicine, University of Connecticut Health Center, Farmington, CT 06030-3101, USA. Rosenberg@uchc.edu
Charles Giardina
Takuji Tanaka
Kanazawa Medical University · JPUConn Health · USUniversity of Connecticut · US

Funding

MOLECULAR CHARACTERIZATION OF ACF (ABERRANT CRYPT FOCI)R01CA081428 · NCI · UNIVERSITY OF CONNECTICUT STORRS · PI ROSENBERG, DANIEL WILLIAM · 1999 to 2008
$2.0M
NCI NIH HHS 5R01CA081428
6 · The paper itself

Abstract

The study of experimental colon carcinogenesis in rodents has a long history, dating back almost 80 years. There are many advantages to studying the pathogenesis of carcinogen-induced colon cancer in mouse models, including rapid and reproducible tumor induction and the recapitulation of the adenoma-carcinoma sequence that occurs in humans. The availability of recombinant inbred mouse panels and the existence of transgenic, knock-out and knock-in genetic models further increase the value of these studies. In this review, we discuss the general mechanisms of tumor initiation elicited by commonly used chemical carcinogens and how genetic background influences the extent of disease. We will also describe the general features of lesions formed in response to carcinogen treatment, including the underlying molecular aberrations and how these changes may relate to the pathogenesis of human colorectal cancer.

Indexed as

CarcinogensDisease Models, AnimalAnimalsCell Transformation, NeoplasticColonic NeoplasmsHumansMiceMutationSignal TransductionSpecies SpecificityCarcinogens

Identifiers

PMID19037092
PMCPMC2639048
OpenAlexW2152785381

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.