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. 2024 Sep 10:14:1419020.
doi: 10.3389/fonc.2024.1419020. eCollection 2024.

Mendelian randomization provides causal association between COVID-19 and thyroid cancer: insights from a multi-cancer analysis

Affiliations

Mendelian randomization provides causal association between COVID-19 and thyroid cancer: insights from a multi-cancer analysis

Shuhong Li et al. Front Oncol. .

Abstract

Since the onset of the COVID-19 pandemic, the SARS-CoV-2 virus has caused over 600 million confirmed infections and more than 6.8 million deaths worldwide, with ongoing implications for human health. COVID-19 has been extensively documented to have extrapulmonary manifestations due to the widespread expression of necessary ACE2 receptors in the human body. Nevertheless, the association between COVID-19 and cancer risk remains inadequately explored. This study employs Mendelian randomization (MR) methods to examine the causal relationship between genetic variations associated with COVID-19 and the risk of developing cancer. The findings indicate that COVID-19 has negligible impact on most cancer risks. Interestingly, a higher COVID-19 impact is associated with a decreased risk of thyroid cancer. In summary, our findings demonstrate a genetic correlation between COVID-19 and thyroid cancer, contributing to our understanding of the interplay between COVID-19 and cancer risk.

Keywords: COVID-19; Mendelian randomization; SARS-CoV-2; cancer risk; thyroid.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Workflow of this study.
Figure 2
Figure 2
Forest plot of COVID-19 susceptibility effects on multi-cancer risk.
Figure 3
Figure 3
Forest plot of COVID-19 hospitalization effects on multi-cancer risk.
Figure 4
Figure 4
Forest plot of COVID-19 severity effects on multi-cancer risk.
Figure 5
Figure 5
The MR analysis results between COVID-19 and multi-cancer risk are robust. scatter plot of casual estimate for MR test between COVID-19 susceptibility, hospitalization and severity on thyroid cancer (A-C); forest plot of single SNP effect of COVID-19 susceptibility, hospitalization and severity on thyroid cancer (D-F).
Figure 6
Figure 6
Sensitivity analysis indicates that the MR analysis was not affected by heterogeneity and pleiotropy. Funnel plot of single SNP effect (A-C); forest plot of leave-one-out analysis (D-F).

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The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

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