Evidence map›Paper›PMID 35832545›Full record

ArticleFrontiers in oncology2022

Metabolic Links to Socioeconomic Stresses Uniquely Affecting Ancestry in Normal Breast Tissue at Risk for Breast Cancer.

Denys Rujchanarong, Danielle Scott, Yeonhee Park, Sean Brown, Anand S Mehta, Richard Drake, George E Sandusky, Harikrishna Nakshatri, Peggi M Angel

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 9 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

9 authors at 5 institutions in 1 country.

Denys RujchanarongDepartment of Cell and Molecular Pharmacology & Experimental Therapeutics, Bruker-MUSC Center of Excellence, Clinical Glycomics, Medical University of South Carolina, Charleston, SC, United States.
Danielle ScottDepartment of Cell and Molecular Pharmacology & Experimental Therapeutics, Bruker-MUSC Center of Excellence, Clinical Glycomics, Medical University of South Carolina, Charleston, SC, United States.
Yeonhee ParkDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States.
Sean BrownDepartment of Cell and Molecular Pharmacology & Experimental Therapeutics, Bruker-MUSC Center of Excellence, Clinical Glycomics, Medical University of South Carolina, Charleston, SC, United States.
Anand S MehtaDepartment of Cell and Molecular Pharmacology & Experimental Therapeutics, Bruker-MUSC Center of Excellence, Clinical Glycomics, Medical University of South Carolina, Charleston, SC, United States.
Richard DrakeDepartment of Cell and Molecular Pharmacology & Experimental Therapeutics, Bruker-MUSC Center of Excellence, Clinical Glycomics, Medical University of South Carolina, Charleston, SC, United States.
George E SanduskyDepartment of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, United States.
Harikrishna NakshatriDepartment of Surgery, Indiana University School of Medicine, Indianapolis, IN, United States.
Peggi M AngelDepartment of Cell and Molecular Pharmacology & Experimental Therapeutics, Bruker-MUSC Center of Excellence, Clinical Glycomics, Medical University of South Carolina, Charleston, SC, United States.
Bruker (United States) · USIndiana University – Purdue University Indianapolis · USIndiana University School of MedicineMedical University of South Carolina · USUniversity of Wisconsin–Madison · US

Funding

MUSC Minority Student Development ProgramR25GM072643 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI ERGUL, ADVIYE, RINKER, JENNIFER ANNE · 2005 to 2023
$5.8M
MUSC Post-Baccalaureate Research Education ProgramR25GM113278 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DELEON-PENNELL, KRISTINE Y, PENROD-MARTIN, RACHEL · 2015 to 2024
$2.7M
Collagen Sequence Variants in Racial Disparities of Breast CancerR01CA253460 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI ANGEL, PEGGI M · 2020 to 2024
$2.6M
NCI NIH HHS R01 CA253460NIGMS NIH HHS R25 GM072643NIGMS NIH HHS R25 GM113278
6 · The paper itself

Abstract

A primary difference between black women (BW) and white women (WW) diagnosed with breast cancer is aggressiveness of the tumor. Black women have higher mortalities with similar incidence of breast cancer compared to other race/ethnicities, and they are diagnosed at a younger age with more advanced tumors with double the rate of lethal, triple negative breast cancers. One hypothesis is that chronic social and economic stressors result in ancestry-dependent molecular responses that create a tumor permissive tissue microenvironment in normal breast tissue. Altered regulation of N-glycosylation of proteins, a glucose metabolism-linked post-translational modification attached to an asparagine (N) residue, has been associated with two strong independent risk factors for breast cancer: increased breast density and body mass index (BMI). Interestingly, high body mass index (BMI) levels have been reported to associate with increases of cancer-associated N-glycan signatures. In this study, we used matrix assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS) to investigate molecular pattern changes of N-glycosylation in ancestry defined normal breast tissue from BW and WW with significant 5-year risk of breast cancer by Gail score. N-glycosylation was tested against social stressors including marital status, single, education, economic status (income), personal reproductive history, the risk factors BMI and age. Normal breast tissue microarrays from the Susan G. Komen tissue bank (BW=43; WW= 43) were used to evaluate glycosylation against socioeconomic stress and risk factors. One specific N-glycan (2158 m/z) appeared dependent on ancestry with high sensitivity and specificity (AUC 0.77, Brown/Wilson p-value<0.0001). Application of a linear regression model with ancestry as group variable and socioeconomic covariates as predictors identified a specific N-glycan signature associated with different socioeconomic stresses. For WW, household income was strongly associated to certain N-glycans, while for BW, marital status (married and single) was strongly associated with the same N-glycan signature. Current work focuses on understanding if combined N-glycan biosignatures can further help understand normal breast tissue at risk. This study lays the foundation for understanding the complexities linking socioeconomic stresses and molecular factors to their role in ancestry dependent breast cancer risk.

Indexed as

ancestrybody mass index (BMI)breast cancer disparitiesbreast cancer riskglycomics mass spectrometryN-glycosylation

Identifiers

PMID35832545
PMCPMC9273232
OpenAlexW4285505645

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.