Volume 24 Issue 2
Feb.  2026
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Article Navigation >  Chinese Journal of General Practice  > 2026  >  24(2): 231-234
WEN Hexin, LIN Jie, JIN Xueze, HAO Bo, ZHANG Zongbing, ZUO Lugen, LIU Mulin. Value of combined detection of SFRP2 and SDC2 methylation in fecal samples for colorectal cancer screening and prognostic assessment[J]. Chinese Journal of General Practice, 2026, 24(2): 231-234. doi: 10.16766/j.cnki.issn.1674-4152.004367
Citation: WEN Hexin, LIN Jie, JIN Xueze, HAO Bo, ZHANG Zongbing, ZUO Lugen, LIU Mulin. Value of combined detection of SFRP2 and SDC2 methylation in fecal samples for colorectal cancer screening and prognostic assessment[J]. Chinese Journal of General Practice, 2026, 24(2): 231-234. doi: 10.16766/j.cnki.issn.1674-4152.004367
shu

Value of combined detection of SFRP2 and SDC2 methylation in fecal samples for colorectal cancer screening and prognostic assessment

doi: 10.16766/j.cnki.issn.1674-4152.004367
  • 1.

    Department of Gastrointestinal Surgery, the First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui 233004, China

Funds:

 2023AH010068

 2023AH051953

 2022byzd054

  • Received Date: 2025-03-11
    Available Online: 2026-04-11
    Abstract
  •   Objective  To investigate the clinical value of combined detection of SFRP2 and SDC2 gene methylation in faeces for the screening, diagnosis and prognostic assessment of colorectal cancer (CRC), providing a molecular basis for non-invasive screening and individualized treatment.  Methods  A total of 323 subjects who underwent colonoscopy at the First Affiliated Hospital of Bengbu Medical University between January 2019 and December 2019 were enrolled in the study. The subjects were categorized based on pathological diagnosis, they were divided into the CRC group (n=149), the adenoma group (n=60), and the healthy control group (n=114). The methylation levels of the SFRP2 and SDC2 genes in faecal samples were detected using quantitative real-time PCR (qRT-PCR). The χ2 test was utilized to analyze the differences in methylation status among the clinical and pathological characteristics of different patients with CRC. The survival differences between the two groups were then compared using the Kaplan-Meier method. Cox regression models were utilized in order to analyze the independent risk factors affecting prognosis.  Results  The methylation-positive rates of both SFRP2 and SDC2 in the CRC group were significantly higher than those in the adenoma and healthy control groups (P < 0.001). The application of combined detection techniques resulted in a positive detection rate of 91.95% (137/149) within the CRC group. Statistically significant differences were identified in the positive rates of SFRP2 and SDC2 gene methylation among patients with different degrees of differentiation and different TNM stages of colorectal cancer (P < 0.001). Survival analysis revealed that patients positive for SFRP2 methylation (log-rank χ2=14.300) and SDC2 methylation (log-rank χ2=23.240) exhibited significantly lower overall survival rates (P < 0.001). Cox multivariate analysis identified differentiation degree, TNM stage, and SFRP2 / SDC2 methylation as independent risk factors affecting CRC prognosis (P < 0.05).  Conclusion  The combined detection of SFRP2 and SDC2 gene methylation in faeces has been demonstrated to enhance the detection rate of CRC. Their levels correlate with tumor differentiation, TNM stage and survival rate, which provides important clinical value for early screening and individualized treatment.

     

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    • References(20)
  • [1]
    PATEL S G, KARLITZ J J, YEN T, et al. The rising tide of early-onset colorectal cancer: a comprehensive review of epidemiology, clinical features, biology, risk factors, prevention, and early detection[J]. Lancet Gastroenterol Hepatol, 2022, 7(3): 262-274. doi: 10.1016/S2468-1253(21)00426-X
    [2]
    BAIDOUN F, ELSHIWY K, ELKERAIE Y, et al. Colorectal cancer epidemiology: recent trends and impact on outcomes[J]. Curr Drug Targets, 2021, 22(9): 998-1009. doi: 10.2174/18735592MTEx9NTk2y
    [3]
    BRAY F, LAVEERSANNE M, SUNG H, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]. CA Cancer J Clin, 2024, 74(3): 229-263.
    [4]
    OGAWA M, TANAKA A, NAMBA K, et al. Tumor stromal nicotinamide N-methyltransferase overexpression as a prognostic biomarker for poor clinical outcome in early-stage colorectal cancer[J]. Sci Rep, 2022, 12(1): 2767. DOI: 10.1038/s41598-022-06772-w.
    [5]
    AKIMOTO N, UGAI T, ZHONG R, et al. Rising incidence of early-onset colorectal cancer: a call to action[J]. Nat Rev Clin Oncol, 2021, 18(4): 230-243. doi: 10.1038/s41571-020-00445-1
    [6]
    LI J, LI Z P, RUAN W J, et al. Colorectal cancer screening: the value of early detection and modern challenges[J]. World J Gastroenterol, 2024, 30(20): 2726-2730. doi: 10.3748/wjg.v30.i20.2726
    [7]
    GINI A, JANSEN E, ZIELONKE N, et al. Impact of colorectal cancer screening on cancer-specific mortality in Europe: a systematic review[J]. Eur J Cancer, 2020, 127: 224-235. doi: 10.1016/j.ejca.2019.12.014
    [8]
    HUANG W, LI H, YU Q, et al. LncRNA-mediated DNA methylation: an emerging mechanism in cancer and beyond[J]. J Exp Clin Cancer Res, 2022, 41(1): 100. DOI: 10.1186/s13046-022-02319-z.
    [9]
    YOU L, DOU Y, ZHANG Y, et al. SDC2 stabilization by USP14 promotes gastric cancer progression through co-option of PDK1[J]. Int J Biol Sci, 2023, 19(11): 3483-3498. doi: 10.7150/ijbs.84331
    [10]
    LONG L, SUN Q, YANG F, et al. Significance of SDC2 and NDRG4 methylation in stool for colorectal cancer diagnosis[J]. Clin Biochem, 2024, 124: 110717. DOI: 10.1016/j.clinbiochem.2024.110717.
    [11]
    金红, 庞丽莹, 李华洋, 等. 联合检测粪便中ITGA4和SFRP2基因甲基化在大肠肿瘤诊断和预后中的价值[J]. 南方医科大学学报, 2021, 41(6): 891-897.

    JIN H, PANG L Y, LI H Y, et al. Value of combined detection of ITGA4 and SFRP2 gene methylation in stool DNA in diagnosis and prognostic evaluation of colorectal tumors[J]. Journal of Southern Medical University, 2021, 41(6): 891-897.
    [12]
    BRETTHAUER M, LØBERG M, WIESZCZY P, et al. Effect of colonoscopy screening on risks of colorectal cancer and related death[J]. N Engl J Med, 2022, 387(17): 1547-1556. doi: 10.1056/NEJMoa2208375
    [13]
    李静, 殷丽霞, 张敏, 等. 粪便蛋白Luminex液相芯片检测系统构建及其对结直肠肿瘤早期诊断的价值[J]. 南方医科大学学报, 2023, 43(11): 1874-1880.

    LI J, YIN L X, ZHANG M. et al. Construction of a fecal protein Luminex liquid chip detection system for early diagnosis of colorectal tumors[J]. Journal of Southern Medical University, 2023, 43(11): 1874-1880.
    [14]
    董文斌, 杨艳华. 多靶点粪便DNA检测用于结直肠癌筛查的研究进展[J]. 临床消化病杂志, 2025, 37(1): 50-54.

    DONG W B, YANG Y H. Research progress of multi-target fecal DNA testing for colorectal cancer screening[J]. Chinese Journal of Clinical Gastroenterology, 2025, 37(01): 50-54.
    [15]
    MA T, HUANG X, ZHENG H, et al. SFRP2 improves mitochondrial dynamics and mitochondrial biogenesis, oxidative stress, and apoptosis in diabetic cardiomyopathy[J]. Oxid Med Cell Longev, 2021, 2021: 9265016. DOI: 10.1155/2021/9265016.
    [16]
    BOUGHANEM H, PILO J, GARCÍA-FLORES L A, et al. Identification of epigenetic silencing of the SFRP2 gene in colorectal cancer as a clinical biomarker and molecular significance[J]. J Transl Med, 2024, 22(1): 509. DOI: 10.1186/s12967-024-05329-x.
    [17]
    邵书先, 沈忠, 张秀峰, 等. 粪便多基因联合检测在结直肠癌早期筛查中的应用[J]. 中华全科医学, 2020, 18(11): 1819-1822. doi: 10.16766/j.cnki.issn.1674-4152.001627

    SHAO S X, SHEN Z, ZHANG X F, et al. Application of multiple-gene stool DNA test in screening for early colorectal cancer[J]. Chinese Journal of General Practice, 2020, 18(11): 1819-1822. doi: 10.16766/j.cnki.issn.1674-4152.001627
    [18]
    漆昱君, 李洁, 李琳, 等. MTP18在口腔鳞癌细胞迁移与侵袭中的作用[J]. 中华全科医学, 2021, 19(12): 2003-2007. doi: 10.16766/j.cnki.issn.1674-4152.002221

    QI Y J, LI J, LI L, et al. MTP18 promotes oral squamous-cell carcinoma metastasis through induction of epithelial-mesenchymal transition[J]. Chinese Journal of General Practice, 2021, 19(12): 2003-2007. doi: 10.16766/j.cnki.issn.1674-4152.002221
    [19]
    PETINRIN O O, SAEED F, TOSEEF M, et al. Machine learning in metastatic cancer research: potentials, possibilities, and prospects[J]. Comput Struct Biotechnol J, 2023, 21: 2454-2470. doi: 10.1016/j.csbj.2023.03.046
    [20]
    LI Y, WU X, YANG P, et al. Machine learning for lung cancer diagnosis, treatment, and prognosis[J]. Genomics Proteomics Bioinformatics, 2022, 20(5): 850-866. doi: 10.1016/j.gpb.2022.11.003
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