Gao Yuan, Ren Jinjin, Chen Kunqi, Guan Guoxian
Department of Colorectal Surgery, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Department of Colorectal Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
J Gastrointest Oncol. 2024 Feb 29;15(1):203-219. doi: 10.21037/jgo-23-980. Epub 2024 Feb 28.
Mucinous colonic adenocarcinoma remains a challenging disease due to its high propensity for metastasis and recurrence. N7-methylguanosine (m7G) and long non-coding RNA (lncRNA) are closely associated with the occurrence and progression of tumors. However, research on m7G-related lncRNA in mucinous colonic adenocarcinoma is lacking. Therefore, we sought to explore the prognostic impact of m7G-related lncRNAs in mucinous adenocarcinoma (MC) patients.
In this study, Pearson analysis was used to identify m7G-related lncRNAs from transcriptome data in The Cancer Genome Atlas (TCGA). Univariate Cox regression analysis and least absolute shrinkage and selection operator (LASSO) regression were used to further screen m7G-related lncRNAs and incorporate them into a prognostic signature. Based on the risk model, patients were divided into low- and high-risk groups and randomly assigned to the training set and test sets in a 6:4 ratio. Kaplan-Meier, receiver operating characteristic (ROC) curve, multivariate regression, and nomogram analyses were used to confirm the accuracy of the signature. The CIBERSORT algorithm was used to calculate the degree of immune cell infiltration (ICI). Finally, the correlation of the prognostic signature with tumor mutational burden (TMB) and immunophenotype score (IPS) was evaluated.
A total of 432 m7G-related lncRNAs were identified by Pearson analysis. Univariate Cox regression, LASSO regression and survival analysis were performed to further select six m7G-related lncRNAs (P<0.05): , , , , , and . Based on the risk model, heat maps, Kaplan-Meier curves, and ROC curves were constructed, and the results showed that there were significant differences in expression levels and survival status between the two risk groups. The area under the ROC curve (AUC) values for 3-, 5-, and 10-year survival in the training set were 0.944, 0.957, and 1.000, respectively. And in the test set were 0.964, 1.000, and 1.000, respectively. Subsequently, univariate and multivariate regression analyses of clinical characteristics and risk score were performed. The results of risk score were [hazard ratio (HR): 6.458, 95% confidence interval (CI): 2.708-15.403, P<0.001; HR: 7.280, 95% CI: 2.500-21.203, P<0.001], respectively. Using the risk score as an independent prognostic factor, the AUC of it over 3, 5, and 10 years was 0.911, 0.955, and 0.961, respectively. Calibration plots for the nomogram show that the model calibration line is very close to the ideal calibration line, indicating good calibration. The level of ICI was significantly different in the different risk groups. Survival analysis showed that, regardless of TMB risk, patients with MC and a high-risk score consistently had a poor overall survival (OS).
The m7G-related lncRNA prognostic signature has potential value for the prognosis of mucinous colonic adenocarcinoma.
黏液性结肠腺癌因其高转移和复发倾向,仍然是一种具有挑战性的疾病。N7-甲基鸟苷(m7G)和长链非编码RNA(lncRNA)与肿瘤的发生和进展密切相关。然而,关于黏液性结肠腺癌中m7G相关lncRNA的研究尚缺乏。因此,我们试图探讨m7G相关lncRNA对黏液腺癌(MC)患者预后的影响。
在本研究中,采用Pearson分析从癌症基因组图谱(TCGA)的转录组数据中鉴定m7G相关lncRNA。单因素Cox回归分析和最小绝对收缩和选择算子(LASSO)回归用于进一步筛选m7G相关lncRNA,并将其纳入预后特征。基于风险模型,将患者分为低风险和高风险组,并按6:4的比例随机分配到训练集和测试集。采用Kaplan-Meier法、受试者工作特征(ROC)曲线、多因素回归分析和列线图分析来确认该特征的准确性。使用CIBERSORT算法计算免疫细胞浸润(ICI)程度。最后,评估预后特征与肿瘤突变负荷(TMB)和免疫表型评分(IPS)的相关性。
通过Pearson分析共鉴定出432个m7G相关lncRNA。进行单因素Cox回归、LASSO回归和生存分析以进一步选择6个m7G相关lncRNA(P<0.05): , , , , ,和 。基于风险模型,构建了热图、Kaplan-Meier曲线和ROC曲线,结果表明两个风险组之间的表达水平和生存状态存在显著差异。训练集中3年、5年和10年生存的ROC曲线下面积(AUC)值分别为0.944、0.957和1.000。测试集中分别为0.964、1.000和1.000。随后,对临床特征和风险评分进行单因素和多因素回归分析。风险评分结果分别为[风险比(HR):6.458,95%置信区间(CI):2.708 - 15.403,P<0.001;HR:7.280,95%CI:2.500 - 21.203,P<0.001]。将风险评分作为独立预后因素,其3年、5年和10年的AUC分别为0.911、0.955和0.961。列线图的校准图显示模型校准线非常接近理想校准线,表明校准良好。不同风险组的ICI水平存在显著差异。生存分析表明,无论TMB风险如何,MC且高风险评分的患者总生存期(OS)始终较差。
m7G相关lncRNA预后特征对黏液性结肠腺癌的预后具有潜在价值。