Skip to main content
Erschienen in: Breast Cancer Research and Treatment 1/2020

31.03.2020 | Epidemiology

Obesity-associated methylation in breast tumors: a possible link to disparate outcomes?

verfasst von: Whitney L. Do, Karen Conneely, Sheryl Gabram-Mendola, Uma Krishnamurti, Olivia D’Angelo, Jasmine Miller-Kleinhenz, Keerthi Gogineni, Mylin Torres, Lauren E. McCullough

Erschienen in: Breast Cancer Research and Treatment | Ausgabe 1/2020

Einloggen, um Zugang zu erhalten

Abstract

Purpose

As a primary risk factor and modifier of breast cancer incidence and prognosis, obesity may contribute to race disparities in breast cancer outcomes. This study examined association between obesity and DNA methylation in non-Hispanic Black and White women diagnosed with breast cancer.

Methods

Genome-wide DNA methylation was measured in the breast cancer tumor tissue of 96 women using the EPIC array. To examine the association between obesity and tumor methylation, linear regression models were used—regressing methylation β value for each cytosine and guanine (CpG) site on body mass index adjusting for covariates. Significance was set at false discovery rate (FDR) < 0.05. In the top 20 CpG sites, we explored the interactions with race and estrogen receptor (ER) status. We used multivariable Cox-proportional hazard models to examine whether methylation in the top 20 sites was associated with all-cause mortality.

Results

While none of the CpG sites passed the FDR threshold for significance, among the top 20 CpG sites, we observed interactions with race (TOMM20) and ER status (PSMB1, QSOX1 and PHF1). The same CpG sites in TOMM20, PSMB1, and QSOX1 were associated with all-cause mortality.

Conclusions

We identified novel interactions between obesity-associated methylation and both race and ER status in genes that have been associated with tumor regulation. Our data suggest that dysregulation in two sites may associate with all-cause mortality.
Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
Zurück zum Zitat Huo D, Hu H, Rhie SK, Gamazon ER, Cherniack AD, Liu J, Yoshimatsu TF, Pitt JJ, Hoadley KA, Troester M, Ru Y, Lichtenberg T, Sturtz LA, Shelley CS, Benz CC, Mills GB, Laird PW, Shriver CD, Perou CM, Olopade OI (2017) Comparison of breast cancer molecular features and survival by African and European ancestry in the cancer genome AtlasBreast Cancer Molecular Features and Survival by African and European AncestryBreast Cancer Molecular Features and Survival by African and European Ancestry. JAMA Oncol 3(12):1654–1662. https://doi.org/10.1001/jamaoncol.2017.0595 CrossRefPubMedPubMedCentral Huo D, Hu H, Rhie SK, Gamazon ER, Cherniack AD, Liu J, Yoshimatsu TF, Pitt JJ, Hoadley KA, Troester M, Ru Y, Lichtenberg T, Sturtz LA, Shelley CS, Benz CC, Mills GB, Laird PW, Shriver CD, Perou CM, Olopade OI (2017) Comparison of breast cancer molecular features and survival by African and European ancestry in the cancer genome AtlasBreast Cancer Molecular Features and Survival by African and European AncestryBreast Cancer Molecular Features and Survival by African and European Ancestry. JAMA Oncol 3(12):1654–1662. https://​doi.​org/​10.​1001/​jamaoncol.​2017.​0595 CrossRefPubMedPubMedCentral
4.
Zurück zum Zitat van den Brandt PA, Spiegelman D, Yaun SS, Adami HO, Beeson L, Folsom AR, Fraser G, Goldbohm RA, Graham S, Kushi L, Marshall JR, Miller AB, Rohan T, Smith-Warner SA, Speizer FE, Willett WC, Wolk A, Hunter DJ (2000) Pooled analysis of prospective cohort studies on height, weight, and breast cancer risk. Am J Epidemiol 152(6):514–527CrossRef van den Brandt PA, Spiegelman D, Yaun SS, Adami HO, Beeson L, Folsom AR, Fraser G, Goldbohm RA, Graham S, Kushi L, Marshall JR, Miller AB, Rohan T, Smith-Warner SA, Speizer FE, Willett WC, Wolk A, Hunter DJ (2000) Pooled analysis of prospective cohort studies on height, weight, and breast cancer risk. Am J Epidemiol 152(6):514–527CrossRef
5.
Zurück zum Zitat Yang XR, Sherman ME, Rimm DL, Lissowska J, Brinton LA, Peplonska B, Hewitt SM, Anderson WF, Szeszenia-Dabrowska N, Bardin-Mikolajczak A, Zatonski W, Cartun R, Mandich D, Rymkiewicz G, Ligaj M, Lukaszek S, Kordek R, Garcia-Closas M (2007) Differences in risk factors for breast cancer molecular subtypes in a population-based study. Cancer Epidemiol Biomarkers Prev 16(3):439–443. https://doi.org/10.1158/1055-9965.Epi-06-0806 CrossRefPubMed Yang XR, Sherman ME, Rimm DL, Lissowska J, Brinton LA, Peplonska B, Hewitt SM, Anderson WF, Szeszenia-Dabrowska N, Bardin-Mikolajczak A, Zatonski W, Cartun R, Mandich D, Rymkiewicz G, Ligaj M, Lukaszek S, Kordek R, Garcia-Closas M (2007) Differences in risk factors for breast cancer molecular subtypes in a population-based study. Cancer Epidemiol Biomarkers Prev 16(3):439–443. https://​doi.​org/​10.​1158/​1055-9965.​Epi-06-0806 CrossRefPubMed
14.
Zurück zum Zitat Chan DSM, Vieira AR, Aune D, Bandera EV, Greenwood DC, McTiernan A, Vieira AR, Aune D, Navarro Rosenblatt D, Greenwood DC, Chan DSM, Bandera EV, Thune I, Vieira R, Norat T (2014) Body mass index and survival in women with breast cancer—systematic literature review and meta-analysis of 82 follow-up studies. Ann Oncol 25(10):1901–1914. https://doi.org/10.1093/annonc/mdu042 CrossRefPubMedPubMedCentral Chan DSM, Vieira AR, Aune D, Bandera EV, Greenwood DC, McTiernan A, Vieira AR, Aune D, Navarro Rosenblatt D, Greenwood DC, Chan DSM, Bandera EV, Thune I, Vieira R, Norat T (2014) Body mass index and survival in women with breast cancer—systematic literature review and meta-analysis of 82 follow-up studies. Ann Oncol 25(10):1901–1914. https://​doi.​org/​10.​1093/​annonc/​mdu042 CrossRefPubMedPubMedCentral
30.
Zurück zum Zitat Stelzer G, Rosen N, Plaschkes I, Zimmerman S, Twik M, Fishilevich S, Stein TI, Nudel R, Lieder I, Mazor Y, Kaplan S, Dahary D, Warshawsky D, Guan-Golan Y, Kohn A, Rappaport N, Safran M, Lancet D (2016) The GeneCards suite: from gene data mining to disease genome sequence analyses. Curr Protoc Bioinform. https://doi.org/10.1002/cpbi.5 CrossRef Stelzer G, Rosen N, Plaschkes I, Zimmerman S, Twik M, Fishilevich S, Stein TI, Nudel R, Lieder I, Mazor Y, Kaplan S, Dahary D, Warshawsky D, Guan-Golan Y, Kohn A, Rappaport N, Safran M, Lancet D (2016) The GeneCards suite: from gene data mining to disease genome sequence analyses. Curr Protoc Bioinform. https://​doi.​org/​10.​1002/​cpbi.​5 CrossRef
34.
Zurück zum Zitat Wang CY, Li CY, Hsu HP, Cho CY, Yen MC, Weng TY, Chen WC, Hung YH, Lee KT, Hung JH, Chen YL, Lai MD (2017) PSMB5 plays a dual role in cancer development and immunosuppression. Am J Cancer Res 7(11):2103–2120PubMedPubMedCentral Wang CY, Li CY, Hsu HP, Cho CY, Yen MC, Weng TY, Chen WC, Hung YH, Lee KT, Hung JH, Chen YL, Lai MD (2017) PSMB5 plays a dual role in cancer development and immunosuppression. Am J Cancer Res 7(11):2103–2120PubMedPubMedCentral
Metadaten
Titel
Obesity-associated methylation in breast tumors: a possible link to disparate outcomes?
verfasst von
Whitney L. Do
Karen Conneely
Sheryl Gabram-Mendola
Uma Krishnamurti
Olivia D’Angelo
Jasmine Miller-Kleinhenz
Keerthi Gogineni
Mylin Torres
Lauren E. McCullough
Publikationsdatum
31.03.2020
Verlag
Springer US
Erschienen in
Breast Cancer Research and Treatment / Ausgabe 1/2020
Print ISSN: 0167-6806
Elektronische ISSN: 1573-7217
DOI
https://doi.org/10.1007/s10549-020-05605-6

Weitere Artikel der Ausgabe 1/2020

Breast Cancer Research and Treatment 1/2020 Zur Ausgabe

Update Onkologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.