| Title: | Oxidative balance score: a potential tool for reducing the risk of colorectal cancer and its subsites incidences |
| Journal: | Frontiers in Endocrinology |
| Published: | 30 Apr 2024 |
| DOI: | https://doi.org/10.3389/fendo.2024.1397512 |
| URL: | https://www.frontiersin.org/journals/endocrinology/articles/10.3389/fendo.2024.1397512/pdf |
Publication 9786
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Abstract
The Oxidative Balance Score (OBS) is commonly used to assess oxidative stress and provides a comprehensive evaluation of dietary and lifestyle-related exposures. However, there is limited research on the association between OBS and colorectal cancer (CRC), its subsites, and complications. The objective of this study was to assess the relationship between OBS and the risk of CRC, its subsites, and common complications in a large prospective cohort study. We included data from 175,808 participants in the UK Biobank data sample repository from 2006 to 2010. We evaluated OBS using a scoring system based on 22 dietary and lifestyle factors. Multiple adjustments, including multivariate Cox proportional hazard regression, gender stratification, subgroup analysis, and sensitivity analysis, were performed to fully explore the relationship between OBS and CRC, its subsites, and complications. The mediation analysis was conducted to investigate whether serum albumin, uric acid, and neutrophil levels mediate the relationship between OBS and CRC. After adjusting for potential confounding factors, a significant negative correlation was found between OBS and the risk of CRC and its subsites (proximal colon cancer, distal colon cancer, and rectal cancer). This correlation was particularly pronounced in male CRC patients. Serum albumin, uric acid, and neutrophil count, which are biomarkers, were found to have a significant mediating effect between OBS and CRC. Our study suggests that higher exposure to antioxidants assessed through OBS (diet and lifestyle rich in antioxidants) may decrease the occurrence of CRC and its subsites.</p>
14 Authors
- Yu Chang
- Fan Li
- Zhi Wang
- Qi Zhao
- Zhaodi Wang
- Xiaoping Han
- Zifeng Xu
- Chanjiao Yu
- Yue Liu
- Shiyu Chang
- Hongyan Li
- Sileng Hu
- Yuqin Li
- Tongyu Tang
1 Application
| Application ID | Title |
|---|---|
| 84347 | Integration of clinical data and genomic data to construct diagnosis and prognosis system for digestive diseases and related complications |
Enabling scientific discoveries that improve human health