Evidence map›Paper›PMID 21263096›Full record

ReviewJournal of clinical oncology : official journal of the American Society of Clinical Oncology2011

How genetically engineered mouse tumor models provide insights into human cancers.

Katerina Politi, William Pao

Abstract readReview
In one paragraph

Review in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

64 citing papers in PubMed.

  1. New approach methodologies (NAMs) for preclinical and translational evaluation of mRNA-lipid nanoparticle (LNP) therapeutics.Journal of controlled release : official journal of the Controlled Release Society · 2026
    Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Harnessing preclinical models for the interrogation of ovarian cancer.Journal of experimental & clinical cancer research : CR · 2022
    Review
  11. Novel Mouse Models for Cancer Immunology.Annual review of cancer biology · 2022
    Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Label-Free Multimodal Multiphoton Intravital Imaging.Advances in experimental medicine and biology · 2021
    Article
  17. Review
  18. Article
  19. Review
  20. Article

4 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

2 authors.

Katerina PolitiMemorial Sloan-Kettering Cancer Center, New York, NY, USA. katerina.politi@yale.edu
William Pao

Funding

Mutant EGF Receptor-Dependent Lung Cancer in Human Cell Lines and Transgenic MiceR01CA120247 · NCI · YALE UNIVERSITY · PI POLITI, KATERINA ABIGAIL · 2006 to 2014
$3.8M
Overcoming acquired resistance to EGFR inhibitors in lung cancerR01CA121210 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LOVLY, CHRISTINE M. · 2007 to 2016
$2.9M
Mechanisms of Mutant Epidermal Growth Factor Receptor Induced Lung TumorigenesisR00CA131488 · NCI · YALE UNIVERSITY · PI POLITI, KATERINA ABIGAIL · 2010 to 2012
$732k
NCI NIH HHS R00 CA131488NCI NIH HHS R01 CA120247NCI NIH HHS R01 CA121210
6 · The paper itself

Abstract

Genetically engineered mouse models (GEMMs) of human cancer were first created nearly 30 years ago. These early transgenic models demonstrated that mouse cells could be transformed in vivo by expression of an oncogene. A new field emerged, dedicated to generating and using mouse models of human cancer to address a wide variety of questions in cancer biology. The aim of this review is to highlight the contributions of mouse models to the diagnosis and treatment of human cancers. Because of the breadth of the topic, we have selected representative examples of how GEMMs are clinically relevant rather than provided an exhaustive list of experiments. Today, as detailed here, sophisticated mouse models are being created to study many aspects of cancer biology, including but not limited to mechanisms of sensitivity and resistance to drug treatment, oncogene cooperation, early detection, and metastasis. Alternatives to GEMMs, such as chemically induced or spontaneous tumor models, are not discussed in this review.

Indexed as

Disease Models, AnimalGenetic EngineeringAnimalsHumansMiceMice, TransgenicNeoplasms

Identifiers

PMID21263096
PMCPMC3731923

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.