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Association of Measures of Glucose Metabolism with Colorectal Cancer Risk in Older Chinese: A 13-Year Follow-up of the Guangzhou Biobank Cohort Study-Cardiovascular Disease Substudy and Meta-Analysis (Diabetes Metab J 2024;48:134-45)
Shu Yi Wang1, Lin Xu1,2orcid
Diabetes & Metabolism Journal 2024;48(2):323-324.
DOI: https://doi.org/10.4093/dmj.2024.0085
Published online: March 22, 2024
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1Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China

2Division of Epidemiology and Biostatistics, School of Public Health of the University of Hong Kong, Hong Kong

Corresponding author: Lin Xu orcid Department of Epidemiology, School of Public Health, Sun Yat-sen University, No.74 Zhongshan 2nd Road, Guangzhou, China E-mail: xulin27@mail.sysu.edu.cn

Copyright © 2024 Korean Diabetes Association

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

See the letter "Association of Measures of Glucose Metabolism with Colorectal Cancer Risk in Older Chinese: A 13-Year Follow-up of the Guangzhou Biobank Cohort Study-Cardiovascular Disease Substudy and Meta-Analysis (Diabetes Metab J 2024;48:134-45)" on page 321.
We thank Dr. Kim for his insightful suggestion regarding the evaluation of the association between glycosylated hemoglobin (HbA1c) levels and colorectal cancer (CRC) risk by diabetes status and duration. In our study, we conducted a thorough analysis, which included testing for interactions between diabetes status and HbA1c levels [1]. Our findings indicated no significant interaction (all P values for interaction from 0.28 to 0.98), suggesting that the association between HbA1c levels and CRC risk does not vary by diabetes status. This result supports the notion that the impact of HbA1c on CRC risk may be independent of diabetes status, thus providing a broader perspective on the relationship between glycemic control and CRC risk across different populations. We believe this adds an important dimension to the understanding of these complex relationships and appreciate Dr. Kim’s highlighting the importance of considering these factors in our analysis.
Regarding the importance of considering insulin treatment, the meta-analysis Dr. Kim referenced [2], which indicates an elevated CRC risk associated with exogenous insulin use, is indeed pertinent to our research context. We recognize the complexity that insulin treatment introduces, especially in interpreting the association between diabetes management and CRC risk. In response, we have revisited our data to assess the availability and impact of insulin treatment information on our study population. The results were similar after further adjustment for insulin treatment, although the association of per % increment of HbA1c with CRC risk was attenuated, with hazard ratio of 1.22 (95% confidence interval [CI], 0.93 to 1.61) for overall population, 1.39 (95% CI, 0.97 to 1.98) for women and 1.08 (95% CI, 0.69 to 1.70) for men.
We also greatly appreciate Dr. Kim’s comments concerning the potential influence of changes in confounding factors such as socioeconomic status, obesity, smoking, lifestyles, and disparities in colonoscopy procedures on CRC incidence. We understand the concerns about the changes in these factors potentially confounding the association between glucose intolerance status and CRC risk. However, after careful consideration and review of our study design and data, we believe that adjusting for the changes in these factors in our analysis may not be necessary, since changes in confounders during follow-up cannot impact the glycemia levels at baseline. Our rationale is based on the specific aims and scope of our research, which focuses on the direct relationship between baseline glycemic indicators and CRC risk, rather than the broader set of risk factors for CRC. We have implemented stringent criteria and statistical controls to select confounders (i.e., common causes of both exposure and outcome) and minimize confounding effects, focusing specifically on variables directly related to our research question. As changes in risk factors, if any, during the follow-up are unlikely to influence the baseline glycemic levels, they would not confound the association between baseline glycemic indicators and CRC risk. We appreciate Dr. Kim’s input and understand the importance of considering a wide array of potential confounders in epidemiological research.
Dr. Kim’s emphasis on the rising incidence of CRC in individuals under 50 underscores an important area for further research. We share the anticipation for future studies that delve deeper into this younger demographic, which remains underexplored yet critically important. We also concur with Dr. Kim’s perspective on the need for research approaches that align with the principles of precision medicine, especially given the global increase in diabetes. Such studies could greatly enhance our understanding and enable more tailored prevention strategies for CRC, considering individual variations in glucose metabolism.

CONFLICTS OF INTEREST

No potential conflict of interest relevant to this article was reported.

  • 1. Wang SY, Zhang WS, Jiang CQ, Jin YL, Zhu T, Zhu F, et al. Association of measures of glucose metabolism with colorectal cancer risk in older Chinese: a 13-year follow-up of the Guangzhou Biobank Cohort Study-Cardiovascular Disease Substudy and Meta-Analysis. Diabetes Metab J 2024;48:134-45.PubMedPMC
  • 2. Yin S, Bai H, Jing D. Insulin therapy and colorectal cancer risk among type 2 diabetes mellitus patients: a systemic review and meta-analysis. Diagn Pathol 2014;9:91.ArticlePubMedPMCPDF

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        Association of Measures of Glucose Metabolism with Colorectal Cancer Risk in Older Chinese: A 13-Year Follow-up of the Guangzhou Biobank Cohort Study-Cardiovascular Disease Substudy and Meta-Analysis (Diabetes Metab J 2024;48:134-45)
        Diabetes Metab J. 2024;48(2):323-324.   Published online March 22, 2024
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