Evidence map›Paper›PMID 26896340›Full record

ArticleDiabetes/metabolism research and reviews2016

Metabolic syndrome and pre-diabetes contribute to racial disparities in breast cancer outcomes: hypothesis and proposed pathways.

Emily J Gallagher, Derek LeRoith, Rebeca Franco, Irini Markella Antoniou, Anupma Nayak, Jennifer Livaudais-Toman, Nina A Bickell

Abstract read
In one paragraph

Article in Diabetes/metabolism research and reviews, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.3field-weighted citation impact, top 32% 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

10 citing papers in PubMed, 13 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

7 authors at 2 institutions in 1 country.

Emily J GallagherIcahn School of Medicine at Mount Sinai, Division of Endocrinology, Diabetes and Bone Disease, Department of Medicine, New York, NY, USA. Emily.gallagher@mssm.edu.
Derek LeRoithIcahn School of Medicine at Mount Sinai, Division of Endocrinology, Diabetes and Bone Disease, Department of Medicine, New York, NY, USA.
Rebeca FrancoIcahn School of Medicine at Mount Sinai, Department of Population Health Science and Policy, Department of Medicine, New York, NY, USA.
Irini Markella AntoniouIcahn School of Medicine at Mount Sinai, Division of Endocrinology, Diabetes and Bone Disease, Department of Medicine, New York, NY, USA.
Anupma NayakIcahn School of Medicine at Mount Sinai, Dubin Breast Cancer Center, Department of Pathology, New York, NY, USA.
Jennifer Livaudais-TomanIcahn School of Medicine at Mount Sinai, Department of Population Health Science and Policy, Department of Medicine, New York, NY, USA.
Nina A BickellIcahn School of Medicine at Mount Sinai, Department of Population Health Science and Policy, Department of Medicine, New York, NY, USA.
Icahn School of Medicine at Mount Sinai · USMount Sinai Health System · US

Funding

Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI Shuibing Chen · 2015 to 2026
$27.7M
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
Insulin Resistance and Breast Cancer Prognosis in Black & White WomenR01CA171558 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BICKELL, NINA A., LEROITH, DEREK · 2012 to 2017
$3.1M
Cholesterol promotes breast cancer progression: establishing the mechanismsK08CA190770 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GALLAGHER, EMILY JANE · 2014 to 2018
$843k
NCI NIH HHS K08 CA190770NCI NIH HHS R01 CA128799NCI NIH HHS R01 CA171558NIDDK NIH HHS P30 DK020541
6 · The paper itself

Abstract

backgroundWomen with obesity and type 2 diabetes (T2D) are at greater risk of dying from breast cancer than women without these conditions. Obesity and T2D are associated with insulin resistance and endogenous hyperinsulinemia and are more common in Black women. There is increasing disparity in breast cancer mortality between Black and White women in the USA. We hypothesize that insulin resistance and endogenous hyperinsulinemia in Black women with breast cancer contribute to their greater breast cancer mortality and are associated with increased insulin receptor signalling in tumours.

methodsWe will recruit 350 Black women and 936 White women with newly diagnosed breast cancer. We will determine the presence or absence of the metabolic syndrome/pre-diabetes and insulin resistance by measuring body mass index, waist circumference, lipids, blood pressure, glucose, insulin-like growth factor binding protein 1 and insulin. Breast cancer prognosis will be determined by a Nottingham Prognostic Index (NPI), with poor prognosis being defined as NPI >4.4. Tumour insulin receptor signalling will be determined by immunohistochemistry. Insulin receptor subtype expression will be measured using Nanostring. Analysis of these factors will determine whether endogenous hyperinsulinemia is associated with a worse prognosis in Black women than White women and increased tumour insulin receptor signalling.

conclusionsThe results of this study will determine if the metabolic syndrome and pre-diabetes contribute to racial disparities in breast cancer mortality. It may provide the basis for targeting systemic insulin resistance and/or tumour insulin receptor signalling to reduce racial disparities in breast cancer mortality. Copyright © 2016 John Wiley & Sons, Ltd.

Indexed as

Healthcare DisparitiesAdultAgedAged, 80 and overBiomarkersBlack or African AmericanBreast NeoplasmsFemaleFollow-Up StudiesHeart DiseasesHumansInsulin ResistanceMetabolic SyndromeMiddle AgedPrediabetic StatePrognosisBiomarkersbreast cancerdiabetesinsulin receptorinsulin resistancemetabolic syndromeracial disparities

Identifiers

PMID26896340
PMCPMC4991957
OpenAlexW2287712038

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.