Department of General Surgery, The Fourth Affiliated Hospital of Harbin Medical University, 150001 Harbin, Heilongjiang, China.
Front Biosci (Landmark Ed). 2024 Jul 2;29(7):245. doi: 10.31083/j.fbl2907245.
Improving the clinical outcome of colorectal cancer (CRC) patients remains a major challenge. This study aimed to develop a new predictive classifier for CRC and to examine its relationship with the immune environment and therapeutic response.
A comprehensive bioinformatics analysis was applied to develop a risk panel comprised of cancer function status-related genes (CFSRGs). This panel was evaluated for prognostic utility by Area Under the Curve (AUC) and Kaplan-Meier (KM) analyses. Differences between high- and low-risk groups were subsequently investigated using multi-omics data. Immunohistochemistry (IHC), quantitative real-time polymerase chain reaction (qRT-PCR), and cell phenotype assays were also employed to ascertain the clinical value of expression.
Significant differences were observed in the survival rate between high- and low-risk groups defined by our 7-CFSRG panel, both in internal and external CRC patient cohorts. The AUC for prediction of survival at 1-, 3- and 5-years was satisfactory in all cohorts. Detailed analysis revealed that tumor mutation burden, drug sensitivity, and pathological stage were closely associated with the risk score. Elevated expression of in CRC tissues relative to normal paraneoplastic tissues was associated with less favorable patient outcomes. qRT-PCR experiments confirmed that expression was significantly upregulated in several CRC cell lines (HCT116, SW480, and LOVO) compared to a normal intestinal epithelial cell line (NCM460). The proliferation, migration, and invasion of CRC cells were all significantly inhibited by knockdown of STC2.
Our 7-CFSRG panel is a promising classifier for assessing the prognosis of CRC patients. Moreover, the targeting of may provide a novel therapeutic approach for improving patient outcomes.
提高结直肠癌(CRC)患者的临床疗效仍然是一个主要挑战。本研究旨在开发一种新的 CRC 预测分类器,并研究其与免疫环境和治疗反应的关系。
应用综合的生物信息学分析,开发了一个由癌症功能状态相关基因(CFSRGs)组成的风险面板。通过曲线下面积(AUC)和 Kaplan-Meier(KM)分析评估该面板的预后效用。随后,使用多组学数据研究高低风险组之间的差异。还采用免疫组织化学(IHC)、实时定量聚合酶链反应(qRT-PCR)和细胞表型分析来确定 表达的临床价值。
我们的 7-CFSRG 面板定义的高风险和低风险组之间在内部和外部 CRC 患者队列中的生存率存在显著差异。在所有队列中,预测 1 年、3 年和 5 年生存率的 AUC 均令人满意。详细分析表明,肿瘤突变负担、药物敏感性和病理分期与风险评分密切相关。CRC 组织中 表达相对于正常癌旁组织升高与患者预后不良相关。qRT-PCR 实验证实,与正常肠上皮细胞系(NCM460)相比,几种 CRC 细胞系(HCT116、SW480 和 LOVO)中 的表达明显上调。STC2 敲低显著抑制 CRC 细胞的增殖、迁移和侵袭。
我们的 7-CFSRG 面板是评估 CRC 患者预后的有前途的分类器。此外,靶向 可能为改善患者预后提供新的治疗方法。