Retrospective Study
Copyright ©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Oncol. Jun 15, 2025; 17(6): 106393
Published online Jun 15, 2025. doi: 10.4251/wjgo.v17.i6.106393
Analysis of serum S100A12, soluble advanced glycation end products receptor, and gut microbiome in elderly patients with colorectal cancer
Shuai-Bo Qiao, Ming-Liao Niu, Wei-Tao Liang, Long-Jiang Zhang, Xiang Chen, Ying-Kun Zhu
Shuai-Bo Qiao, Xiang Chen, Ying-Kun Zhu, Second Clinical Medical College, Henan University of Chinese Medicine, Zhengzhou 450000, Henan Province, China
Ming-Liao Niu, Wei-Tao Liang, Long-Jiang Zhang, Department of Anorectal Surgery, Henan Province Hospital of Traditional Chinese Medicine, Zhengzhou 450000, Henan Province, China
Author contributions: Qiao S and Niu ML designed the research study; Liang WT and Zhang LJ performed the research; Chen X and Zhu YK conducted experiments and analyzed the data; All authors contributed to editorial changes in the manuscript and read and approved the final manuscript.
Institutional review board statement: The study was approved by the Ethics Committee of Henan Province Hospital of Traditional Chinese Medicine and complied with the principles and ethical requirements of the Declaration of Helsinki (No. HN-TCU2023-17).
Informed consent statement: Informed consent was obtained from all study participants.
Conflict-of-interest statement: The authors declare that they have no conflicts of interest.
Data sharing statement: No additional data are available.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Long-Jiang Zhang, Chief Physician, Department of Anorectal Surgery, Henan Province Hospital of Traditional Chinese Medicine, No. 6 Dongfeng Road, Zhengzhou 450000, Henan Province, China. hnszyyzlj@163.com
Received: March 12, 2025
Revised: April 3, 2025
Accepted: April 25, 2025
Published online: June 15, 2025
Processing time: 93 Days and 5.8 Hours
Abstract
BACKGROUND

Colorectal cancer (CRC) ranks among the most prevalent malignancies in elderly populations, and chemotherapy resistance remains a critical clinical challenge. Emerging evidence highlights the interplay between chronic inflammation, gut microbiome dysbiosis, and CRC progression. Proinflammatory cytokines [e.g., interleukin (IL)-6, tumor necrosis factor-alpha (TNF-α)] and mediators like S100 calcium-binding protein A12 (S100A12)/soluble receptor for advanced glycation end products (sRAGE) are implicated in tumorigenesis, while gut microbial imbalances may exacerbate inflammatory microenvironments conducive to chemotherapy resistance. However, the triad relationship between S100A12/sRAGE, gut microbiota profiles, and chemotherapy efficacy in elderly patients with CRC remains unexplored, limiting biomarker-driven therapeutic strategies.

AIM

To analyze the correlation between serum levels of S100A12, sRAGE, gut microbiome dysbiosis, and systemic inflammation in elderly patients with CRC and to assess their predictive value for chemotherapy efficacy.

METHODS

A retrospective analysis was conducted on the clinical data of 120 elderly patients with advanced-stage CRC who visited our hospital from August 2023 to May 2024. These patients were enrolled in the study group. Additionally, 120 healthy individuals undergoing routine health check-ups during the same period were selected as the control group. Serum S100A12, sRAGE, IL-6, and TNF-α levels were measured by ELISA, and fresh stool samples were collected before chemotherapy to analyze gut microbiome composition in the study group. Follow-up observations were conducted after chemotherapy. Pearson correlation analysis was used to explore the relationship between serum S100A12, sRAGE levels, and gut microbiome dysbiosis in patients with CRC. The predictive diagnostic value of pre-chemotherapy serum S100A12 and sRAGE levels for chemotherapy efficacy was assessed using receiver operating characteristic curves.

RESULTS

Pre-chemotherapy serum S100A12, sRAGE, IL-6, and TNF-α levels were significantly elevated in patients with CRC vs controls (all P < 0.05). These biomarkers progressively increased with microbiota dysbiosis severity (severe vs mild dysbiosis: S100A12: 340.26 ± 52.39 μg/L vs 302.53 ± 56.97 μg/L; sRAGE: 525.64 ± 37.32 ng/L vs 441.38 ± 48.73 ng/L, P < 0.05) and correlated strongly with IL-6 (r = 0.712) and TNF-α (r = 0.698). Post-chemotherapy, biomarker levels decreased (P < 0.05), coinciding with beneficial microbiota recovery (Bifidobacterium 176%, Lactobacillus 153%) and pathogenic taxa reduction (Escherichia coli 62%). The combined S100A12/sRAGE model predicted chemotherapy resistance with an area under the curve of 0.914 (sensitivity = 86.07%, specificity = 88.89%), outperforming individual biomarkers.

CONCLUSION

Elevated serum S100A12 and sRAGE in elderly patients with CRC reflected gut microbiome dysbiosis and systemic inflammation, driven by IL-6/TNF-α signaling. Their post-chemotherapy decline parallels microbiota restoration, supporting a microbiome-inflammation-biomarker axis. The combined biomarker model offers robust clinical utility for chemotherapy efficacy prediction and personalized therapeutic strategies.

Keywords: Predictive value; Chemotherapy efficacy; Correlation; Gut microbiome dysbiosis; Soluble receptor for advanced glycation end products; Serum S100 calcium-binding protein A12; Colorectal cancer; Elderly

Core Tip: Elevated serum S100 calcium-binding protein A12 and soluble receptor for advanced glycation end products in elderly patients with colorectal cancer reflected gut microbiome dysbiosis and systemic inflammation that was driven by interleukin-6/tumor necrosis factor-α signaling. Their post-chemotherapy decline parallels microbiota restoration, supporting a microbiome-inflammation-biomarker axis. The combined biomarker model offers robust clinical utility for chemotherapy efficacy prediction and personalized therapeutic strategies.