Zhang Yiwen, Han Tianqi, Zhang Hui, Li Jiali, Chu Jun, Liu Jiaqi
Changchun University of Traditional Chinese Medicine, No. 1035, Boshuo Road, Changchun, 13000, China.
The Third Affiliated Clinical Hospital of Changchun University of Chinese Medicine, No. 1643 Clear Moon Street, Changchun, 13000, China.
Sci Rep. 2025 Aug 3;15(1):28292. doi: 10.1038/s41598-025-13191-0.
Colorectal cancer (CRC) and its metastatic form (mCRC) demonstrate considerable biological and clinical heterogeneity. By analyzing transcriptomic data from CRC and mCRC patients, we identified significant differences in gene expression profiles between the two. Our study focused on immune-related differentially expressed genes, which enabled the classification of CRC patients into four distinct subgroups based on their gene expression patterns. These subgroups exhibited marked differences in overall survival (OS) and immune infiltration levels, with Group 1 characterized by a robust immune response.To refine prognostic assessment, we employed a LASSO regression model to select core genes and developed a risk scoring system with promising clinical utility. Furthermore, methylation analysis uncovered notable epigenetic distinctions between CRC and mCRC, particularly involving the SALL1 gene and its methylation sites. Among these, the methylation level at the cg13755795 site emerged as an independent prognostic biomarker, offering predictive value for patient outcomes.Our findings provide a comprehensive view of the transcriptomic and epigenetic differences between CRC and mCRC, identify novel prognostic biomarkers and therapeutic targets, and propose potential strategies for personalized prognosis prediction and targeted therapy. This work contributes valuable insights into immune regulatory mechanisms and supports the development of advanced treatment approaches for colorectal cancer.
结直肠癌(CRC)及其转移形式(mCRC)表现出显著的生物学和临床异质性。通过分析CRC和mCRC患者的转录组数据,我们确定了两者之间基因表达谱的显著差异。我们的研究聚焦于免疫相关差异表达基因,这使得能够根据基因表达模式将CRC患者分为四个不同的亚组。这些亚组在总生存期(OS)和免疫浸润水平上表现出明显差异,其中第1组的特征是强大的免疫反应。为了优化预后评估,我们采用套索回归模型选择核心基因,并开发了一个具有良好临床实用性的风险评分系统。此外,甲基化分析揭示了CRC和mCRC之间显著的表观遗传差异,特别是涉及SALL1基因及其甲基化位点。其中,cg13755795位点的甲基化水平成为一个独立的预后生物标志物,为患者预后提供预测价值。我们的研究结果全面展示了CRC和mCRC之间的转录组和表观遗传差异,识别了新的预后生物标志物和治疗靶点,并提出了个性化预后预测和靶向治疗的潜在策略。这项工作为免疫调节机制提供了有价值的见解,并支持结直肠癌先进治疗方法的开发。