Abstract 11P
Background
Epidemiologic findings suggested that bipolar disorder (BD) may be associated with increased risk of breast cancer. However, there are few studies that comprehensively evaluate their correlation and the causal effect remains unknown. With a Mendelian randomization (MR) approach, we were able to investigate the causal relationship between genetically predicted BD and breast cancer risk.
Methods
Utilizing 6 BD-related single nucleotide polymorphisms as instrumental variables identified by the latest genome-wide association studies, we investigated the correlation between genetically predicted BD and breast cancer risk using summary statistics from the Breast Cancer Association Consortium, with a total of 122 977 cases and 105 974 controls. Study-specific estimates were summarized using inverse-variance-weighted (IVW) method. To further evaluate the pleiotropy, the weighted median and the MR-Egger regression method were implemented. Subgroup analyses according to different immunohistochemical type of breast cancer were also conducted.
Results
MR analyses demonstrated that genetically predicted BD was causally associated with an increased risk of breast cancer (OR = 1.058; 95% CI 1.023-1.093, p < 0.001). When results were examined by immunohistochemical type, a strong association was observed between genetically predicted BD and estrogen receptor-positive (ER) breast cancer (OR = 1.048, 95%CI 1.008-1.090 p = 0.0177) rather than ER-negative breast cancer (OR = 1.026, 95%CI 0.975-1.081 p = 0.3231). Additionally, the results demonstrated the absence of the horizontal pleiotropy. Table: 11P
Mendelian randomization estimates of the associations between bipolar disorder and risk of breast cancer overall and immunohistochemical types
Outcome | IVW method | MR-Egger | Weighted median method | |||
OR (95% CI) | P-value | OR (95% CI) | P-value | OR (95% CI) | P-value | |
Breast cancer overall | 1.058 (1.023, 1.093) | 0.0009 | 1.032 (0.969, 1.099) | 0.3858 | 1.044 (1.006, 1.083) | 0.0239 |
ER-positive breast cancer | 1.048 (1.008, 1.090) | 0.0177 | 1.004 (0.942, 1.070) | 0.9118 | 1.030 (0.998, 1.074) | 0.1622 |
ER-negative breast cancer | 1.026 (0.975, 1.081) | 0.3231 | 1.085 (0.986, 1.195) | 0.1713 | 1.041 (0.978, 1.109) | 0.2063 |
Conclusions
Our findings provide evidence for a causal relationship between genetically predicted BD and increased breast cancer risk, overall and among specific immunohistochemical type. Further studies are warranted to investigate the underlying mechanism.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Haoxin Peng.
Funding
China National Science Foundation (Grant No. 81871893); Key Project of Guangzhou Scientific Research Project (Grant No. 201804020030); Cultivation of Guangdong College Students' Scientific and Technological Innovation (“Climbing Program” Special Funds) (Grant No. pdjh2020a0480).
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
298P - Abandonment of treatment in teenagers and young adults with cancer: A multi institutional survey
Presenter: B S Ankit
Session: e-Poster Display Session
304P - Identification of nine lncRNAs signature for predicting survival benefit of melanoma patients treated with immune checkpoint inhibitors
Presenter: Jian-Guo Zhou
Session: e-Poster Display Session
305P - Novel co-occurring genomic alterations associated with prediction and prognosis in lung adenocarcinoma
Presenter: Xin Zhao
Session: e-Poster Display Session
306P - Detection of anaplastic lymphoma kinase (ALK) mutations using circulating tumour DNA (ctDNA) in advanced non-squamous non-small cell lung cancer (non-Sq-NSCLC) in Asia
Presenter: Kirsty Lee
Session: e-Poster Display Session
307P - Development of circulating free DNA methylation markers for thyroid nodule diagnostics
Presenter: Shuibing Hong
Session: e-Poster Display Session
308P - The genomic landscape of non-small cell lung cancer (NSCLC) in East Asia using circulating tumour DNA (ctDNA) in clinical practice
Presenter: Byoung Cho
Session: e-Poster Display Session
309P - Improved diagnostic accuracy in MRI breast lesions using a classification system and multilayer perceptron neural network
Presenter: Venkata Pradeep Babu Koyyala
Session: e-Poster Display Session
310P - Genomic biomarker detection in East Asian clinical practice using circulating tumour DNA (ctDNA) from patients with gastrointestinal (GI) tract cancers
Presenter: Sadakatsu Ikeda
Session: e-Poster Display Session
311P - Effect of chemotherapy on fatty liver occurrence in breast and gastrointestinal cancer patients
Presenter: Seyed Alireza Javadinia
Session: e-Poster Display Session
312P - Identification of neoantigen-specific T cell response and anti-tumour immunity in pancreatic cancer
Presenter: Xiaoxiao Du
Session: e-Poster Display Session