Evidence map›Paper›PMID 37288296›Full record

ArticleFrontiers in endocrinology2023

Association between breast cancer and thyroid cancer risk: a two-sample Mendelian randomization study.

Hong Tan, Sisi Wang, Feifei Huang, Zhongyi Tong

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Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

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20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Hong TanDepartment of Pathology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Sisi WangDepartment of Medical Laboratory, Brain Hospital of Hunan Province (The Second People's Hospital of Hunan Province), Changsha, Hunan, China.
Feifei HuangDepartment of Pathology, Shenzhen People's Hospital, Second Clinical Medical College of Jinan University, Shenzhen, Guangdong, China.
Zhongyi TongDepartment of Pathology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast and thyroid cancer are increasingly prevalent, but it remains unclear whether the observed associations are due to heightened medical surveillance or intrinsic etiological factors. Observational studies are vulnerable to residual confounding, reverse causality, and bias, which can compromise causal inference. In this study, we employed a two-sample Mendelian randomization (MR) analysis to establish a causal link between breast cancer and heightened thyroid cancer risk. Methods: We obtained the single nucleotide polymorphisms (SNPs) associated with breast cancer from a genome-wide association study (GWAS) conducted by the Breast Cancer Association Consortium (BCAC). The FinnGen consortium's latest and largest accessible GWAS thyroid cancer data at the summary level. We performed four MR analyses, including the inverse-variance-weighted (IVW), weighted median, MR-Egger regression, and weighted mode, to evaluate the potential causal connection between genetically predicted breast cancer and higher risk for thyroid cancer. Sensitivity analysis, heterogeneity and pleiotropy tests were used to ensure the reliability of our findings. Results: Our study revealed causal relationship between genetically predicted breast cancer and thyroid cancer (IVW method, odds ratio (OR) = 1.135, 95% confidence interval (CI): 1.006 to 1.279, Conclusion: This two-sample MR study supports a causal link between ER-positive breast cancer and heightened the risk of thyroid cancer. Our analysis did not reveal a direct correlation between triple-negative breast cancer and thyroid cancer.

Indexed as

Thyroid NeoplasmsTriple Negative Breast NeoplasmsGenome-Wide Association StudyHumansMendelian Randomization AnalysisReproducibility of Resultsbreast cancercausal effectMendelian randomizationsingle nucleotide polymorphismthyroid cancer

Identifiers

PMID37288296
PMCPMC10242035

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.