| Title: | Allostatic load, genetic susceptibility, incidence risk, and all-cause mortality of colorectal cancer |
| Journal: | Journal of the National Cancer Institute |
| Published: | 13 Sep 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/39271163/ |
| DOI: | https://doi.org/10.1093/jnci/djae223 |
Publication 13496
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Abstract
BACKGROUND: Allostatic load (AL) reflects the cumulative burden of chronic stress throughout life, potentially influencing the onset and prognosis of cancer. However, the associations between AL, colorectal cancer (CRC) risk and all-cause mortality in patients with CRC remain unclear.</p>
METHODS: We analyzed the association between AL and CRC risk in 304,959 adults and all-cause mortality in 1,794 patients with CRC from the UK Biobank, using Cox proportional hazards regression models.</p>
RESULTS: Compared to the AL level in the first quartile, individuals in the second to fourth quartiles had a respective 20%, 29%, and 43% increased risk of CRC; 15%, 24%, and 42% increased risk for colon cancer; and 30%, 38%, and 45% increased risk for rectal cancer. We identified a positive dose-gradient association of AL score with CRC risk, including colon and rectal cancer. Additionally, the association between AL and increased risk of CRC was observed across different strata of genetic susceptibility for CRC. Eliminating AL exposures could prevent nearly 39.24% (95% CI: 36.16-42.32) of CRC incident cases. Meanwhile, a significant association between the AL and all-cause mortality in patients with CRC was found, with a HR of 1.71 (95% CI: 1.16-2.50) for the fourth quartile compared to the AL score in the first quartile, demonstrating a positive dose-response relationship.</p>
CONCLUSION: High AL was associated with increased CRC risk and all-cause mortality in CRC patients. Future research should prioritize the development of cognitive or behavioral intervention strategies to mitigate the adverse effects of AL on CRC incidence and prognosis.</p>
7 Authors
- Jianhui Zhao
- Erxu Xue
- Siyun Zhou
- Meng Zhang
- Jing Sun
- Yuqian Tan
- Xue Li
1 Application
| Application ID | Title |
|---|---|
| 66354 | Investigating the genetic, environmental and clinical determinants and their interactions on cancer risk, and developing risk prediction and prognosis models for common cancer types |
Enabling scientific discoveries that improve human health