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血清L1细胞黏附分子在结直肠癌患者中的诊断价值

The Diagnostic Value of Serum L1CAM in Patients With Colorectal Cancer.

作者信息

Chu Ling-Yu, Guo Dong-Ming, Chen Jun-Tian, Fang Wang-Kai, Xie Jian-Jun, Peng Yu-Hui, Xu Yi-Wei, Li Xin-Xin

机构信息

Department of Biochemistry and Molecular Biology, Shantou University Medical College, Shantou, China.

Department of Gastrointestinal Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, China.

出版信息

Technol Cancer Res Treat. 2020 Jan-Dec;19:1533033820920971. doi: 10.1177/1533033820920971.

Abstract

OBJECTIVE

Colorectal cancer is one of the most important malignant cancer in the world with high incidence and mortality. Some studies have found that the expression of low serum L1 cell adhesion molecule is associated with poor prognosis in some malignancies. It is suggested that L1 cell adhesion molecule is a candidate serum marker for certain tumors. However, the relationship between serum L1 cell adhesion molecule and colorectal cancer, especially about the diagnostic value, is rarely reported. Therefore, this study aimed to evaluate the diagnostic potential of serum L1 cell adhesion molecule in patients with colorectal cancer.

METHODS

Enzyme-linked immunosorbent assay was carried out to detect L1 cell adhesion molecule level in sera of 229 patients with colorectal cancer and 145 normal controls. Receiver operating characteristic curves were employed to calculate the accuracy of diagnosis.

RESULTS

The levels of serum L1 cell adhesion molecule in the colorectal cancer group were significantly lower than that in normal controls ( < .05). In the normal group, the area under the receiver operating characteristic curve (area under the curve) of all colorectal cancer was 0.781 (95% confidence interval: 0.734-0.828) and early-stage colorectal cancer was 0.764 (95% confidence interval: 0.705-0.823). With optimized cutoff of 17.760 ng/mL, L1 cell adhesion molecule showed certain diagnostic value with specificity of 90.3% and sensitivities of 43.2% and 36.2% in colorectal cancer and early-stage colorectal cancer, respectively. Clinical data analysis showed that the levels of L1 cell adhesion molecule were significantly correlated with gender ( < .05) and early and late stages ( < .05). Furthermore, when compared with carcinoembryonic antigen, serum L1 cell adhesion molecule had significantly improved diagnostic accuracy for both colorectal cancer and early-stage colorectal cancer.

CONCLUSIONS

Our study demonstrated that serum L1 cell adhesion molecule might be served as a potential biomarker for the diagnosis of colorectal cancer.

摘要

目的

结直肠癌是世界上最重要的恶性肿瘤之一,发病率和死亡率都很高。一些研究发现,血清中低水平的L1细胞黏附分子表达与某些恶性肿瘤的预后不良有关。有人提出L1细胞黏附分子是某些肿瘤的候选血清标志物。然而,血清L1细胞黏附分子与结直肠癌之间的关系,尤其是其诊断价值,鲜有报道。因此,本研究旨在评估血清L1细胞黏附分子在结直肠癌患者中的诊断潜力。

方法

采用酶联免疫吸附测定法检测229例结直肠癌患者和145例正常对照者血清中L1细胞黏附分子水平。采用受试者工作特征曲线计算诊断准确性。

结果

结直肠癌组血清L1细胞黏附分子水平显著低于正常对照组(P<0.05)。在正常组中,所有结直肠癌患者的受试者工作特征曲线下面积(曲线下面积)为0.781(95%置信区间:0.734-0.828),早期结直肠癌患者为0.764(95%置信区间:0.705-0.823)。将临界值优化为17.760 ng/mL时,L1细胞黏附分子在结直肠癌和早期结直肠癌中分别具有一定的诊断价值,特异性为90.3%,敏感性分别为43.2%和36.2%。临床数据分析表明,L1细胞黏附分子水平与性别(P<0.05)以及疾病早晚分期(P<0.05)显著相关。此外,与癌胚抗原相比,血清L1细胞黏附分子对结直肠癌和早期结直肠癌的诊断准确性均有显著提高。

结论

我们的研究表明,血清L1细胞黏附分子可能是结直肠癌诊断的潜在生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d262/7225793/725f7254965f/10.1177_1533033820920971-fig1.jpg

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本文引用的文献

1
Diagnostic and prognostic value of serum L1-cell adhesion molecule in esophageal squamous cell carcinoma.
Clin Res Hepatol Gastroenterol. 2018 Dec;42(6):597-603. doi: 10.1016/j.clinre.2018.08.010. Epub 2018 Sep 13.
2
Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.
CA Cancer J Clin. 2018 Nov;68(6):394-424. doi: 10.3322/caac.21492. Epub 2018 Sep 12.
3
Screening of colorectal cancer: present and future.
Expert Rev Anticancer Ther. 2017 Dec;17(12):1131-1146. doi: 10.1080/14737140.2017.1392243. Epub 2017 Oct 26.
4
Colorectal cancer statistics, 2017.
CA Cancer J Clin. 2017 May 6;67(3):177-193. doi: 10.3322/caac.21395. Epub 2017 Mar 1.
7
Serum Cyr61 as a potential biomarker for diagnosis of colorectal cancer.
Clin Transl Oncol. 2017 Apr;19(4):519-524. doi: 10.1007/s12094-016-1560-7. Epub 2016 Oct 14.
8
Metabolic Dysfunction, Obesity, and Survival Among Patients With Early-Stage Colorectal Cancer.
J Clin Oncol. 2016 Oct 20;34(30):3664-3671. doi: 10.1200/JCO.2016.67.4473.
10
Global patterns and trends in colorectal cancer incidence and mortality.
Gut. 2017 Apr;66(4):683-691. doi: 10.1136/gutjnl-2015-310912. Epub 2016 Jan 27.

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