FIGURE 2 from A Mendelian Randomization Analysis of 55 Genetically Predicted Metabolic Traits with Breast Cancer Survival Outcomes in the Pathways Study

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posted on 2023-06-22, 14:20 authored by Peter N. Fiorica, Haiyang Sheng, Qianqian Zhu, Janise M. Roh, Cecile A. Laurent, Isaac J. Ergas, Jennifer Delmerico, Marilyn L. Kwan, Lawrence H. Kushi, Christine B. Ambrosone, Song Yao

Three forest plots depict the HRs for nominally significant (P < 0.05) survival outcome associations with PGS for three different traits: CVD (A), serum cystatin C (B), and hypertension (C). Each point on the plot represents a test between the PGS-tertile and breast cancer-related survival outcome. Green represents tertile 1. Violet represents tertile 2. Blue represents tertile 3. The y-axis shows the survival outcome, and the x-axis represents the HR. Horizontal lines represent 95% CIs from the Cox regression. Associations with P < 0.05 and HR CIs overlapping with one were removed from the plots.

Funding

HHS | NIH | National Cancer Institute (NCI)

HHS | National Institutes of Health (NIH)

Breast Cancer Research Foundation (BCRF)

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ARTICLE ABSTRACT

To our knowledge, this is the largest study of PGS for metabolic traits with breast cancer prognosis. The findings revealed significant associations of PGS for cardiovascular disease, hypertension, and cystatin C levels with several breast cancer survival outcomes. These findings implicate an underappreciated role of metabolic traits in breast cancer prognosis that would warrant further exploration.

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Keywords

Genetics Of Cancer Risk & Outcome Survivorship Research Epidemiology of survivorship Endogenous Risk Factors Obesity Cancer Interception Biomarkers and intervention Breast Cancer Metabolism Epidemiology

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