Evidence map›Paper›PMID 20068149›Full record

ArticleCancer research2010

Insulin-mediated acceleration of breast cancer development and progression in a nonobese model of type 2 diabetes.

Ruslan Novosyadlyy, Danielle E Lann, Archana Vijayakumar, Anne Rowzee, Deborah A Lazzarino, Yvonne Fierz, Joan M Carboni, Marco M Gottardis, Patricia A Pennisi, Alfredo A Molinolo and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 175 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
175citing papers in PubMed, 4 pooled it
11.6field-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

175 citing papers in PubMed, 4 syntheses or guidelines pooled it, 284 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Diabetes and breast cancer risk: a meta-analysis.British journal of cancer · 2012
    Pooled it
  5. Trial
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  8. Review
  9. Article
  10. Review
  11. Therapeutic delivery of albumin-binding siRNA targeting IRS2 to diverse cell types reduces mammary tumor growth.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. The Role of Insulin Resistance in Cancer.Current oncology (Toronto, Ont.) · 2025
    Review
  18. Article
  19. Article
  20. Article

115 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

16 authors at 5 institutions in 1 country.

Ruslan NovosyadlyyDivision of Endocrinology, Diabetes and Bone Diseases, The Samuel Bronfman Department of Medicine, Mount Sinai School of Medicine, New York, New York 10029, USA.
Danielle E Lann
Archana Vijayakumar
Anne Rowzee
Deborah A Lazzarino
Yvonne Fierz
Joan M Carboni
Marco M Gottardis
Patricia A Pennisi
Alfredo A Molinolo
Naamit Kurshan
Wilson Mejia
Stefania Santopietro
Shoshana Yakar
Teresa L Wood
Derek LeRoith
Bristol-Myers Squibb (United States) · USRutgers, The State University of New Jersey · USIcahn School of Medicine at Mount Sinai · USRutgers New Jersey Medical SchoolNational Institute of Dental and Craniofacial Research · US

Funding

Mechanisms for the pro-metastatic effects of hyperinsulinemia on breast cancerR01CA128799 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LEROITH, DEREK · 2008 to 2018
$3.7M
TRAINING PROGRAM IN INVESTIGATIVE GASTROENTEROLOGYT32DK007792 · NIDDK · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI CHO, JUDY H. · 2001 to 2016
$2.3M
NCI NIH HHS 1R01CA128799-O1A1NCI NIH HHS R01 CA128799NIDDK NIH HHS T32 DK007792
6 · The paper itself

Abstract

Epidemiologic studies suggest that type 2 diabetes (T2D) increases breast cancer risk and mortality, but there is limited experimental evidence supporting this association. Moreover, there has not been any definition of a pathophysiological pathway that diabetes may use to promote tumorigenesis. In the present study, we used the MKR mouse model of T2D to investigate molecular mechanisms that link T2D to breast cancer development and progression. MKR mice harbor a transgene encoding a dominant-negative, kinase-dead human insulin-like growth factor-I receptor (IGF-IR) that is expressed exclusively in skeletal muscle, where it acts to inactivate endogenous insulin receptor (IR) and IGF-IR. Although lean female MKR mice are insulin resistant and glucose intolerant, displaying accelerated mammary gland development and enhanced phosphorylation of IR/IGF-IR and Akt in mammary tissue, in the context of three different mouse models of breast cancer, these metabolic abnormalities were found to accelerate the development of hyperplastic precancerous lesions. Normal or malignant mammary tissue isolated from these mice exhibited increased phosphorylation of IR/IGF-IR and Akt, whereas extracellular signal-regulated kinase 1/2 phosphorylation was largely unaffected. Tumor-promoting effects of T2D in the models were reversed by pharmacological blockade of IR/IGF-IR signaling by the small-molecule tyrosine kinase inhibitor BMS-536924. Our findings offer compelling experimental evidence that T2D accelerates mammary gland development and carcinogenesis,and that the IR and/or the IGF-IR are major mediators of these effects.

Indexed as

AnimalsBenzimidazolesDiabetes Mellitus, ExperimentalDiabetes Mellitus, Type 2Disease Models, AnimalFemaleHyperinsulinismInsulinMammary Glands, AnimalMammary Neoplasms, ExperimentalMiceMice, TransgenicOncogene Protein v-aktPhosphatidylinositol 3-KinasesPhosphorylationPyridonesBenzimidazolesBMS 536924InsulinOncogene Protein v-aktPhosphatidylinositol 3-KinasesPyridonesReceptor, IGF Type 1Receptor, Insulin

Identifiers

PMID20068149
PMCPMC2946167
OpenAlexW2147583733

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.