Prediagnostic Immune Cell Profiles and Breast Cancer
- PMID: 31951276
- PMCID: PMC6991268
- DOI: 10.1001/jamanetworkopen.2019.19536
Prediagnostic Immune Cell Profiles and Breast Cancer
Abstract
Importance: Higher overall leukocyte counts in women may be associated with increased risk of breast cancer, but the association of specific leukocyte subtypes with breast cancer risk remains unknown.
Objective: To determine associations between circulating leukocyte subtypes and risk of breast cancer.
Design, setting, and participants: Between 2003 and 2009, the Sister Study enrolled 50 884 women who had a sister previously diagnosed with breast cancer but were themselves breast cancer free. A case-cohort subsample was selected in July 2014 from the full Sister Study cohort. Blood samples were obtained at baseline, and women were followed up through October 2016. Data analysis was performed in April 2019.
Main outcomes and measures: The main outcome was the development of breast cancer in women. Whole-blood DNA methylation was measured, and methylation values were deconvoluted using the Houseman method to estimate proportions of 6 leukocyte subtypes (B cells, natural killer cells, CD8+ and CD4+ T cells, monocytes, and granulocytes). Leukocyte subtype proportions were dichotomized at their population median value, and Cox proportional hazard models were used to estimate associations with breast cancer.
Results: Among 2774 non-Hispanic white women included in the analysis (mean [SD] age at enrollment, 56.6 [8.8] years), 1295 women were randomly selected from the full cohort (of whom 91 developed breast cancer) along with an additional 1479 women who developed breast cancer during follow-up (mean [SD] time to diagnosis, 3.9 [2.2] years). Circulating proportions of B cells were positively associated with later breast cancer (hazard ratio [HR], 1.17; 95% CI, 1.01-1.36; P = .04). Among women who were premenopausal at blood collection, the association between B cells and breast cancer was significant (HR, 1.38; 95% CI, 1.05-1.82; P = .02), and an inverse association for circulating proportions of monocytes was found (HR, 0.75; 95% CI, 0.57-0.99; P = .05). Among all women, associations between leukocyte subtypes and breast cancer were time dependent: higher monocyte proportions were associated with decreased near-term risk (within 1 year of blood collection, HR, 0.62; 95% CI, 0.43-0.89; P = .01), whereas higher B cell proportions were associated with increased risk 4 or more years after blood collection (HR, 1.38; 95% CI, 1.15-1.67; P = .001).
Conclusions and relevance: Circulating leukocyte profiles may be altered before clinical diagnoses of breast cancer and may be time-dependent markers for breast cancer risk, particularly among premenopausal women.
Conflict of interest statement
Figures
Comment in
-
Could Methylation Cytometry Be a Predictive Biomarker of Breast Cancer?JAMA Netw Open. 2020 Jan 3;3(1):e1919568. doi: 10.1001/jamanetworkopen.2019.19568. JAMA Netw Open. 2020. PMID: 31951267 No abstract available.
Similar articles
-
Circulating Leukocyte Subsets Before and After a Breast Cancer Diagnosis and Therapy.JAMA Netw Open. 2024 Feb 5;7(2):e2356113. doi: 10.1001/jamanetworkopen.2023.56113. JAMA Netw Open. 2024. PMID: 38358741 Free PMC article.
-
Association of Serum Level of Vitamin D at Diagnosis With Breast Cancer Survival: A Case-Cohort Analysis in the Pathways Study.JAMA Oncol. 2017 Mar 1;3(3):351-357. doi: 10.1001/jamaoncol.2016.4188. JAMA Oncol. 2017. PMID: 27832250 Free PMC article.
-
The association between metabolic health, obesity phenotype and the risk of breast cancer.Int J Cancer. 2017 Jun 15;140(12):2657-2666. doi: 10.1002/ijc.30684. Epub 2017 Mar 28. Int J Cancer. 2017. PMID: 28268252 Free PMC article.
-
Methylation-Based Biological Age and Breast Cancer Risk.J Natl Cancer Inst. 2019 Oct 1;111(10):1051-1058. doi: 10.1093/jnci/djz020. J Natl Cancer Inst. 2019. PMID: 30794318 Free PMC article.
-
Weight gain prior to diagnosis and survival from breast cancer.Cancer Epidemiol Biomarkers Prev. 2007 Sep;16(9):1803-11. doi: 10.1158/1055-9965.EPI-06-0889. Cancer Epidemiol Biomarkers Prev. 2007. PMID: 17855698
Cited by
-
Identifying cancer-associated leukocyte profiles using high-resolution flow cytometry screening and machine learning.Front Immunol. 2023 Aug 3;14:1211064. doi: 10.3389/fimmu.2023.1211064. eCollection 2023. Front Immunol. 2023. PMID: 37600768 Free PMC article.
-
Causality Between Immune Cells, Metabolites and Breast Cancer: Mendelian Randomization and Mediation Analysis.Biochem Genet. 2024 Nov 8. doi: 10.1007/s10528-024-10966-4. Online ahead of print. Biochem Genet. 2024. PMID: 39514081
-
Circulating Leukocyte Subsets Before and After a Breast Cancer Diagnosis and Therapy.JAMA Netw Open. 2024 Feb 5;7(2):e2356113. doi: 10.1001/jamanetworkopen.2023.56113. JAMA Netw Open. 2024. PMID: 38358741 Free PMC article.
-
Associations of Body Composition and Physical Activity Level With Multiple Measures of Epigenetic Age Acceleration.Am J Epidemiol. 2021 Jun 1;190(6):984-993. doi: 10.1093/aje/kwaa251. Am J Epidemiol. 2021. PMID: 33693587 Free PMC article.
-
_targeting Innate Immunity in Breast Cancer Therapy: A Narrative Review.Front Immunol. 2021 Nov 25;12:771201. doi: 10.3389/fimmu.2021.771201. eCollection 2021. Front Immunol. 2021. PMID: 34899721 Free PMC article. Review.
References
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
Research Materials
Miscellaneous