Cargando…
Combined Exposure to 33 Trace Elements and Associations With the Risk of Oral Cancer: A Large-Scale Case-Control Study
BACKGROUND: Trace elements exist widely in the natural environment and mostly enter the human body through drinking water or various types of food, which has raised increasing health concerns. Exposure to a single or a few trace elements has been previously reported to be associated with oral cancer...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9301066/ https://www.ncbi.nlm.nih.gov/pubmed/35873417 http://dx.doi.org/10.3389/fnut.2022.913357 |
_version_ | 1784751349396668416 |
---|---|
author | Wang, Huiying Wang, Jing Cao, Yujie Chen, Jinfa Deng, Qingrong Chen, Yujia Qiu, Yu Lin, Lisong Shi, Bin Liu, Fengqiong He, Baochang Chen, Fa |
author_facet | Wang, Huiying Wang, Jing Cao, Yujie Chen, Jinfa Deng, Qingrong Chen, Yujia Qiu, Yu Lin, Lisong Shi, Bin Liu, Fengqiong He, Baochang Chen, Fa |
author_sort | Wang, Huiying |
collection | PubMed |
description | BACKGROUND: Trace elements exist widely in the natural environment and mostly enter the human body through drinking water or various types of food, which has raised increasing health concerns. Exposure to a single or a few trace elements has been previously reported to be associated with oral cancer risk, but studies on other elements and combined effects are limited. This study aimed to comprehensively evaluate the independent and joint effects of 33 trace elements on oral cancer risk. METHODS: The concentrations of 33 trace elements from the serum samples of 463 cases and 1,343 controls were measured using inductively coupled plasma mass spectrometry (ICP-MS). Propensity score matching was used to minimize the impact of potential confounders. Conditional logistic regression was utilized to evaluate the association of each element individually with oral cancer risk. Quantile g-computation and Bayesian kernel machine regression (BKMR) models were used to assess the joint effect of the overall element mixture and interactions. RESULTS: In single-element models, essential elements (Cu, Se, Zn, Sr, and Cr) and non-essential elements (As, Li, Th, Ce, Ti, and Sc) showed significant association with oral cancer risk. In multiple-element models, a quartile increase in overall non-essential elements was observed for a significant inverse association with oral cancer risk (β = −3.36, 95% CI: −4.22 to −2.51). The BKMR analysis revealed a potential beneficial joint effect of essential metals on the risk of oral cancer. Among these, higher levels of serum Zn and V exhibited an adverse effect, while serum Sr, Se, and Cu displayed favorable effects when all other essential elements were fixed at 25th or 50th percentiles. Of note, Se performed complex interactions among essential metals. As for non-essential elements, there were greater effect estimates for serum Th, Li, and Y when all other elements were held at the 75th percentile. CONCLUSION: This study provides supportive evidence that the overall mixture effect of essential and non-essential elements might be associated with oral cancer risk, especially for serum Zn, V, Cu, Sr, Se, Th, Li, and Y. Extensive prospective studies and other experiments are warranted to confirm our findings. |
format | Online Article Text |
id | pubmed-9301066 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93010662022-07-22 Combined Exposure to 33 Trace Elements and Associations With the Risk of Oral Cancer: A Large-Scale Case-Control Study Wang, Huiying Wang, Jing Cao, Yujie Chen, Jinfa Deng, Qingrong Chen, Yujia Qiu, Yu Lin, Lisong Shi, Bin Liu, Fengqiong He, Baochang Chen, Fa Front Nutr Nutrition BACKGROUND: Trace elements exist widely in the natural environment and mostly enter the human body through drinking water or various types of food, which has raised increasing health concerns. Exposure to a single or a few trace elements has been previously reported to be associated with oral cancer risk, but studies on other elements and combined effects are limited. This study aimed to comprehensively evaluate the independent and joint effects of 33 trace elements on oral cancer risk. METHODS: The concentrations of 33 trace elements from the serum samples of 463 cases and 1,343 controls were measured using inductively coupled plasma mass spectrometry (ICP-MS). Propensity score matching was used to minimize the impact of potential confounders. Conditional logistic regression was utilized to evaluate the association of each element individually with oral cancer risk. Quantile g-computation and Bayesian kernel machine regression (BKMR) models were used to assess the joint effect of the overall element mixture and interactions. RESULTS: In single-element models, essential elements (Cu, Se, Zn, Sr, and Cr) and non-essential elements (As, Li, Th, Ce, Ti, and Sc) showed significant association with oral cancer risk. In multiple-element models, a quartile increase in overall non-essential elements was observed for a significant inverse association with oral cancer risk (β = −3.36, 95% CI: −4.22 to −2.51). The BKMR analysis revealed a potential beneficial joint effect of essential metals on the risk of oral cancer. Among these, higher levels of serum Zn and V exhibited an adverse effect, while serum Sr, Se, and Cu displayed favorable effects when all other essential elements were fixed at 25th or 50th percentiles. Of note, Se performed complex interactions among essential metals. As for non-essential elements, there were greater effect estimates for serum Th, Li, and Y when all other elements were held at the 75th percentile. CONCLUSION: This study provides supportive evidence that the overall mixture effect of essential and non-essential elements might be associated with oral cancer risk, especially for serum Zn, V, Cu, Sr, Se, Th, Li, and Y. Extensive prospective studies and other experiments are warranted to confirm our findings. Frontiers Media S.A. 2022-07-07 /pmc/articles/PMC9301066/ /pubmed/35873417 http://dx.doi.org/10.3389/fnut.2022.913357 Text en Copyright © 2022 Wang, Wang, Cao, Chen, Deng, Chen, Qiu, Lin, Shi, Liu, He and Chen. 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 | Nutrition Wang, Huiying Wang, Jing Cao, Yujie Chen, Jinfa Deng, Qingrong Chen, Yujia Qiu, Yu Lin, Lisong Shi, Bin Liu, Fengqiong He, Baochang Chen, Fa Combined Exposure to 33 Trace Elements and Associations With the Risk of Oral Cancer: A Large-Scale Case-Control Study |
title | Combined Exposure to 33 Trace Elements and Associations With the Risk of Oral Cancer: A Large-Scale Case-Control Study |
title_full | Combined Exposure to 33 Trace Elements and Associations With the Risk of Oral Cancer: A Large-Scale Case-Control Study |
title_fullStr | Combined Exposure to 33 Trace Elements and Associations With the Risk of Oral Cancer: A Large-Scale Case-Control Study |
title_full_unstemmed | Combined Exposure to 33 Trace Elements and Associations With the Risk of Oral Cancer: A Large-Scale Case-Control Study |
title_short | Combined Exposure to 33 Trace Elements and Associations With the Risk of Oral Cancer: A Large-Scale Case-Control Study |
title_sort | combined exposure to 33 trace elements and associations with the risk of oral cancer: a large-scale case-control study |
topic | Nutrition |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9301066/ https://www.ncbi.nlm.nih.gov/pubmed/35873417 http://dx.doi.org/10.3389/fnut.2022.913357 |
work_keys_str_mv | AT wanghuiying combinedexposureto33traceelementsandassociationswiththeriskoforalcanceralargescalecasecontrolstudy AT wangjing combinedexposureto33traceelementsandassociationswiththeriskoforalcanceralargescalecasecontrolstudy AT caoyujie combinedexposureto33traceelementsandassociationswiththeriskoforalcanceralargescalecasecontrolstudy AT chenjinfa combinedexposureto33traceelementsandassociationswiththeriskoforalcanceralargescalecasecontrolstudy AT dengqingrong combinedexposureto33traceelementsandassociationswiththeriskoforalcanceralargescalecasecontrolstudy AT chenyujia combinedexposureto33traceelementsandassociationswiththeriskoforalcanceralargescalecasecontrolstudy AT qiuyu combinedexposureto33traceelementsandassociationswiththeriskoforalcanceralargescalecasecontrolstudy AT linlisong combinedexposureto33traceelementsandassociationswiththeriskoforalcanceralargescalecasecontrolstudy AT shibin combinedexposureto33traceelementsandassociationswiththeriskoforalcanceralargescalecasecontrolstudy AT liufengqiong combinedexposureto33traceelementsandassociationswiththeriskoforalcanceralargescalecasecontrolstudy AT hebaochang combinedexposureto33traceelementsandassociationswiththeriskoforalcanceralargescalecasecontrolstudy AT chenfa combinedexposureto33traceelementsandassociationswiththeriskoforalcanceralargescalecasecontrolstudy |