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Genetically predicted iron status was associated with the risk of prostate cancer

INTRODUCTION: Observational studies have reported a relationship between iron status and the risk of prostate cancer. However, it remains uncertain whether the association is causal or due to confounding or reverse causality. To further clarify the underlying causal relationship, we conducted a Mend...

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Autores principales: Ying, Jiacheng, Wang, Binyan, Han, Shuyang, Song, Jie, Liu, Ke, Chen, Weiwei, Sun, Xiaohui, Mao, Yingying, Ye, Ding
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763611/
https://www.ncbi.nlm.nih.gov/pubmed/36561528
http://dx.doi.org/10.3389/fonc.2022.959892
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author Ying, Jiacheng
Wang, Binyan
Han, Shuyang
Song, Jie
Liu, Ke
Chen, Weiwei
Sun, Xiaohui
Mao, Yingying
Ye, Ding
author_facet Ying, Jiacheng
Wang, Binyan
Han, Shuyang
Song, Jie
Liu, Ke
Chen, Weiwei
Sun, Xiaohui
Mao, Yingying
Ye, Ding
author_sort Ying, Jiacheng
collection PubMed
description INTRODUCTION: Observational studies have reported a relationship between iron status and the risk of prostate cancer. However, it remains uncertain whether the association is causal or due to confounding or reverse causality. To further clarify the underlying causal relationship, we conducted a Mendelian randomization (MR) analysis. METHODS: We selected three genetic variants (rs1800562, rs1799945, and rs855791) closely correlated with four iron status biomarkers (serum iron, log-transformed ferritin, transferrin saturation, and transferrin) as instrumental variables. Summary statistics for prostate cancer were obtained from the Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome consortium including 79,148 cases and 61,106 controls of European ancestry. The inverse-variance weighted (IVW) method was conducted primarily to estimate the association of genetically predicted iron status and the risk of prostate cancer, supplemented with simple-median, weighted-median and maximum-likelihood methods as sensitivity analysis. MR-Egger regression was used to detect directional pleiotropy. We also conducted a meta-analysis of observational studies to assess the associations between iron status and the risk of prostate cancer. RESULTS: Genetically predicted increased iron status was associated with the decreased risk of prostate cancer, with odds ratio of 0.91 [95% confidence interval (CI): 0.84, 0.99; P = 0.035] for serum iron, 0.81 (95% CI: 0.65, 1.00; P = 0.046) for log- transformed ferritin, 0.94 (95% CI: 0.88, 0.99; P = 0.029) for transferrin saturation, and 1.15 (95% CI: 0.98, 1.35; P = 0.084) for transferrin (with higher transferrin levels representing lower systemic iron status), using the inverse-variance weighted method. Sensitivity analyses produced consistent associations, and MR-Egger regression indicated no potential pleiotropy. Our replication analysis based on FinnGen research project showed compatible results with our main analysis. Results from our meta-analysis similarly showed that serum ferritin [standardized mean difference (SMD): −1.25; 95% CI: −2.34, −0.16; P = 0.024] and transferrin saturation (SMD: −1.19; 95% CI: −2.34, −0.05; P = 0.042) were lower in patients with prostate cancer compared with that in controls. DISCUSSION: Our study suggests a protective role of iron in the risk of prostate cancer, further investigations are required to clarify the underlying mechanisms.
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spelling pubmed-97636112022-12-21 Genetically predicted iron status was associated with the risk of prostate cancer Ying, Jiacheng Wang, Binyan Han, Shuyang Song, Jie Liu, Ke Chen, Weiwei Sun, Xiaohui Mao, Yingying Ye, Ding Front Oncol Oncology INTRODUCTION: Observational studies have reported a relationship between iron status and the risk of prostate cancer. However, it remains uncertain whether the association is causal or due to confounding or reverse causality. To further clarify the underlying causal relationship, we conducted a Mendelian randomization (MR) analysis. METHODS: We selected three genetic variants (rs1800562, rs1799945, and rs855791) closely correlated with four iron status biomarkers (serum iron, log-transformed ferritin, transferrin saturation, and transferrin) as instrumental variables. Summary statistics for prostate cancer were obtained from the Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome consortium including 79,148 cases and 61,106 controls of European ancestry. The inverse-variance weighted (IVW) method was conducted primarily to estimate the association of genetically predicted iron status and the risk of prostate cancer, supplemented with simple-median, weighted-median and maximum-likelihood methods as sensitivity analysis. MR-Egger regression was used to detect directional pleiotropy. We also conducted a meta-analysis of observational studies to assess the associations between iron status and the risk of prostate cancer. RESULTS: Genetically predicted increased iron status was associated with the decreased risk of prostate cancer, with odds ratio of 0.91 [95% confidence interval (CI): 0.84, 0.99; P = 0.035] for serum iron, 0.81 (95% CI: 0.65, 1.00; P = 0.046) for log- transformed ferritin, 0.94 (95% CI: 0.88, 0.99; P = 0.029) for transferrin saturation, and 1.15 (95% CI: 0.98, 1.35; P = 0.084) for transferrin (with higher transferrin levels representing lower systemic iron status), using the inverse-variance weighted method. Sensitivity analyses produced consistent associations, and MR-Egger regression indicated no potential pleiotropy. Our replication analysis based on FinnGen research project showed compatible results with our main analysis. Results from our meta-analysis similarly showed that serum ferritin [standardized mean difference (SMD): −1.25; 95% CI: −2.34, −0.16; P = 0.024] and transferrin saturation (SMD: −1.19; 95% CI: −2.34, −0.05; P = 0.042) were lower in patients with prostate cancer compared with that in controls. DISCUSSION: Our study suggests a protective role of iron in the risk of prostate cancer, further investigations are required to clarify the underlying mechanisms. Frontiers Media S.A. 2022-12-06 /pmc/articles/PMC9763611/ /pubmed/36561528 http://dx.doi.org/10.3389/fonc.2022.959892 Text en Copyright © 2022 Ying, Wang, Han, Song, Liu, Chen, Sun, Mao and Ye https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Ying, Jiacheng
Wang, Binyan
Han, Shuyang
Song, Jie
Liu, Ke
Chen, Weiwei
Sun, Xiaohui
Mao, Yingying
Ye, Ding
Genetically predicted iron status was associated with the risk of prostate cancer
title Genetically predicted iron status was associated with the risk of prostate cancer
title_full Genetically predicted iron status was associated with the risk of prostate cancer
title_fullStr Genetically predicted iron status was associated with the risk of prostate cancer
title_full_unstemmed Genetically predicted iron status was associated with the risk of prostate cancer
title_short Genetically predicted iron status was associated with the risk of prostate cancer
title_sort genetically predicted iron status was associated with the risk of prostate cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763611/
https://www.ncbi.nlm.nih.gov/pubmed/36561528
http://dx.doi.org/10.3389/fonc.2022.959892
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