Evidence map›Paper›PMID 21774594›Full record

ArticleNutrition and cancer2011

Dietary walnut suppressed mammary gland tumorigenesis in the C(3)1 TAg mouse.

W Elaine Hardman, Gabriela Ion, Juliana A Akinsete, Theodore R Witte

Open access · bronzeAbstract read
In one paragraph

Article in Nutrition and cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

27 citing papers in PubMed, 54 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

W Elaine HardmanDepartment of Biochemistry and Microbiology, Marshall University School of Medicine, Huntington, West Virginia 25701, USA. hardmanw@marshall.edu
Gabriela Ion
Juliana A Akinsete
Theodore R Witte
Marshall University · US

Funding

Omega-3 fatty acids to reduce risk for breast cancerR01CA114018 · NCI · MARSHALL UNIVERSITY · PI HARDMAN, WANDA ELAINE · 2007 to 2010
$1.2M
NCI NIH HHS 5R01CA114018-03NCI NIH HHS R01 CA114018
6 · The paper itself

Abstract

Walnuts contain multiple ingredients that, individually, have been shown to slow cancer growth, including omega-3 fatty acids, antioxidants, and phytosterols. In previous research, consumption of walnuts has slowed the growth of implanted breast cancers. We wanted to determine whether regular walnut consumption might reduce the risk for developing cancer. Homozygous male C(3)1 TAg mice were bred with female SV129 mice consuming either the control AIN-76 diet or the walnut-containing diet. At weaning, the female hemizygous pups were randomized to control or walnut-containing diets and followed for tumor development. Compared to a diet without walnuts, consumption of walnuts significantly reduced tumor incidence (fraction of mice with at least one tumor), multiplicity (number of glands with tumor/mouse), and size. Gene expression analyses indicated that consumption of the walnut diet altered expression of multiple genes associated with proliferation and differentiation of mammary epithelial cells. A comparison with another dietary intervention indicated that the omega 3 content alone did not account for the extent of tumor suppression due to the walnut. The results of this study indicate that walnut consumption could contribute to a healthy diet to reduce risk for breast cancer.

Indexed as

DietJuglansNutsAnimalsBlotting, WesternBody WeightCell Transformation, NeoplasticChromatography, GasDietary FatsFemaleMaleMammary Neoplasms, AnimalMiceMice, TransgenicRisk FactorsWeight GainDietary Fats

Identifiers

PMID21774594
PMCPMC3474134
OpenAlexW2096315350

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.