Prediagnostic Allostatic Load as a Predictor of Poorly Differentiated and Larger Sized Breast Cancers among Black Women in the Women's Circle of Health Follow-Up Study.


Journal

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
ISSN: 1538-7755
Titre abrégé: Cancer Epidemiol Biomarkers Prev
Pays: United States
ID NLM: 9200608

Informations de publication

Date de publication:
01 2020
Historique:
received: 20 06 2019
revised: 16 09 2019
accepted: 30 10 2019
pubmed: 14 11 2019
medline: 25 9 2020
entrez: 14 11 2019
Statut: ppublish

Résumé

Few studies have empirically tested the association of allostatic load (AL) with breast cancer clinicopathology. The aim of this study was to examine the association of AL, measured using relevant biomarkers recorded in medical records before breast cancer diagnosis, with unfavorable tumor clinicopathologic features among Black women. In a sample of 409 Black women with nonmetastatic breast cancer who are enrolled in the Women's Circle of Health Follow-Up Study, we estimated prediagnostic AL using two measures: AL measure 1 [lipid profile-based-assessed by systolic and diastolic blood pressure (SBP, DBP), high-density lipoprotein, low-density lipoprotein, total cholesterol, triglycerides, and glucose levels; waist circumference; and use of diabetes, hypertension, or hypercholesterolemia medication] and AL measure 2 (inflammatory index-based-assessed by SBP, DBP, glucose, and albumin levels; estimated glomerular filtration rate; body mass index; waist circumference; and use of medications previously described). We used Cohen's statistic to assess agreement between the two AL measures and multivariable logistic models to assess the associations of interest. AL measures 1 and 2 moderately agreed ( Elevated prediagnostic AL might contribute to more unfavorable breast cancer clinicopathology. Addressing elevated prediagnostic levels of AL has potentially important clinical implications.

Sections du résumé

BACKGROUND
Few studies have empirically tested the association of allostatic load (AL) with breast cancer clinicopathology. The aim of this study was to examine the association of AL, measured using relevant biomarkers recorded in medical records before breast cancer diagnosis, with unfavorable tumor clinicopathologic features among Black women.
METHODS
In a sample of 409 Black women with nonmetastatic breast cancer who are enrolled in the Women's Circle of Health Follow-Up Study, we estimated prediagnostic AL using two measures: AL measure 1 [lipid profile-based-assessed by systolic and diastolic blood pressure (SBP, DBP), high-density lipoprotein, low-density lipoprotein, total cholesterol, triglycerides, and glucose levels; waist circumference; and use of diabetes, hypertension, or hypercholesterolemia medication] and AL measure 2 (inflammatory index-based-assessed by SBP, DBP, glucose, and albumin levels; estimated glomerular filtration rate; body mass index; waist circumference; and use of medications previously described). We used Cohen's statistic to assess agreement between the two AL measures and multivariable logistic models to assess the associations of interest.
RESULTS
AL measures 1 and 2 moderately agreed (
CONCLUSIONS
Elevated prediagnostic AL might contribute to more unfavorable breast cancer clinicopathology.
IMPACT
Addressing elevated prediagnostic levels of AL has potentially important clinical implications.

Identifiants

pubmed: 31719063
pii: 1055-9965.EPI-19-0712
doi: 10.1158/1055-9965.EPI-19-0712
pmc: PMC6954339
mid: NIHMS1541924
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

216-224

Subventions

Organisme : NCI NIH HHS
ID : K01 CA193527
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA072720
Pays : United States
Organisme : NCI NIH HHS
ID : P01 CA151135
Pays : United States
Organisme : NIMHD NIH HHS
ID : K99 MD013300
Pays : United States
Organisme : NCI NIH HHS
ID : K07 CA222158
Pays : United States
Organisme : NCI NIH HHS
ID : HHSN261201300021C
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA185623
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA100598
Pays : United States
Organisme : NCI NIH HHS
ID : K08 CA172722
Pays : United States
Organisme : NCI NIH HHS
ID : HHSN261201200021I
Pays : United States

Informations de copyright

©2019 American Association for Cancer Research.

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Auteurs

Cathleen Y Xing (CY)

Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey.

Michelle Doose (M)

Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey.
Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey.

Bo Qin (B)

Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey.
Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey.

Yong Lin (Y)

Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey.
Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey.

Jesse J Plascak (JJ)

Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey.
Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey.

Coral Omene (C)

Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey.
Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey.

Chunyan He (C)

Division of Medical Oncology, Department of Internal Medicine, University of Kentucky College of Medicine, Lexington, Kentucky.
Markey Cancer Center, University of Kentucky, Lexington, Kentucky.

Kitaw Demissie (K)

Department of Epidemiology and Biostatistics, SUNY Downstate Health Sciences University School of Public Health, Brooklyn, New York.

Chi-Chen Hong (CC)

Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, New York.

Elisa V Bandera (EV)

Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey.
Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey.
Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey.

Adana A M Llanos (AAM)

Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey. Adana.Llanos@Rutgers.edu.
Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey.

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