利用生物信息学方法阐明脂肪酸结合蛋白4作为结肠腺癌的潜在生物标志物。
Using bioinformatics methods to elucidate fatty acid-binding protein 4 as a potential biomarker for colon adenocarcinoma.
作者信息
Zhang Yun, Zhu Wen-Li, Wu Min, Gao Tian-Yuan, Hu Hui-Xian, Xu Zheng-Yuan
机构信息
Department of Medical Engineering, Wannan Medical College, Wuhu 241002, Anhui Province, China.
Seven Inpatient Ward, The Fourth People's Hospital of Wuhu, Wuhu 241002, Anhui Province, China.
出版信息
World J Gastrointest Oncol. 2025 Apr 15;17(4):103113. doi: 10.4251/wjgo.v17.i4.103113.
BACKGROUND
Colon adenocarcinoma (COAD) ranks second in terms of cancer-related deaths. We found that fatty acid-binding protein 4 (), which is related to cell adhesion and immunity, affects the occurrence and development of COAD. This study focused on the possibility of using as a biomarker for COAD and constructed a nomogram for predicting the survival of COAD patients.
AIM
To verify the possibility of using as a biomarker for COAD.
METHODS
A total of 453 COAD tissue samples, along with 41 normal tissue samples, were obtained from The Cancer Genome Atlas database. The difference in expression between COAD tissues and normal tissues was analyzed, and the results were verified by immunohistochemistry. The WGCNA algorithm links expression with an enrichment analysis and with immune cell infiltration pathways. The biological functions of and its coexpressed genes were explored through enrichment analyses. The ESTIMATE, CIBERSORT and ssGSEA methods were used for the immune infiltration analysis. Finally, risk scores were calculated by a Cox analysis. A nomogram was constructed by combining risk scores with routine clinicopathological factors. We assessed the accuracy of survival predictions based on the C-index. The C-index ranges from 0.5 to 1.0, and in general, a C-index value greater than 0.65 indicates a reasonable estimate. The results were validated using the Gene Expression Omnibus (GEO) database.
RESULTS
was significantly differentially expressed in COAD. It is a promising auxiliary biomarker for screening and diagnosis. Enrichment analyses suggested that may influence the invasion and progression of COAD through cell adhesion. The immunological analysis revealed that expression in COAD was significantly positively correlated with immune cell infiltration. Moreover, a nomogram to predict the survival of COAD patients was successfully constructed by integrating the calculated risk scores of 15 candidate genes and routine clinicopathological factors. This nomogram could effectively predict 1-year, 3-year, and 5-year survival (C-index = 0.786) and was verified (C-index = 0.73).
CONCLUSION
This study established as an effective biomarker for screening, assisting in the diagnosis and determining the prognosis.
背景
结肠腺癌（COAD）在癌症相关死亡中排名第二。我们发现，与细胞黏附和免疫相关的脂肪酸结合蛋白4（FABP4）影响COAD的发生和发展。本研究聚焦于将FABP4用作COAD生物标志物的可能性，并构建了一个预测COAD患者生存情况的列线图。
目的
验证将FABP4用作COAD生物标志物的可能性。
方法
从癌症基因组图谱数据库中获取了总共453个COAD组织样本以及41个正常组织样本。分析了COAD组织和正常组织中FABP4表达的差异，并通过免疫组织化学进行了验证。加权基因共表达网络分析（WGCNA）算法将FABP4表达与富集分析以及免疫细胞浸润途径联系起来。通过富集分析探索了FABP4及其共表达基因的生物学功能。采用ESTIMATE、CIBERSORT和单样本基因集富集分析（ssGSEA）方法进行免疫浸润分析。最后，通过Cox分析计算风险评分。通过将风险评分与常规临床病理因素相结合构建列线图。我们基于一致性指数（C-index）评估生存预测的准确性。C-index范围为0.5至1.0，一般来说，C-index值大于0.65表示估计合理。使用基因表达综合数据库（GEO）对结果进行了验证。
结果
FABP4在COAD中显著差异表达。它是一种有前景的用于筛查和诊断的辅助生物标志物。富集分析表明，FABP4可能通过细胞黏附影响COAD的侵袭和进展。免疫分析显示，COAD中FABP4的表达与免疫细胞浸润显著正相关。此外，通过整合15个候选基因的计算风险评分和常规临床病理因素，成功构建了一个预测COAD患者生存情况的列线图。该列线图可以有效预测1年、3年和5年生存率（C-index = 0.786），并得到了验证（C-index = 0.73）。
结论
本研究确定FABP4为一种用于筛查、辅助诊断和判断预后的有效生物标志物。
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