Huang Xiao, Cai Wei, Liu Li, Yuan Wenliang
College of Mathematics and Computer Science, Chizhou University China.
Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Shanghai Ocean University), Ministry of Education Shanghai, China.
Int J Clin Exp Pathol. 2020 Sep 1;13(9):2259-2269. eCollection 2020.
Tumor immunotherapy has become an important means of cancer treatment. A response depends on the interaction of tumor cells with immune regulators in the tumor microenvironment, which plays an important role in inhibiting or enhancing the immune response. However, lymph node (LN) metastasis leads to major changes in the tumor microenvironment of patients with colorectal cancer, directly affecting prognosis.
Using data downloaded from the Cancer Genome Atlas (TCGA) database, we studied the microenvironmental differences between LN-negative and positive populations by bioinformatic methods.
Patients in the LN-positive group had significantly lower immune scores, cytolytic activity scores, and overall survival than the LN-negative group. In addition, a high mutation burden and a new antigen burden could inhibit lymph node metastasis of CRC. In particular, in the LN positive group, the ratio of monocytes to M1 macrophages was significantly downregulated. After the differentially expressed mRNAs between the LN positive and negative groups were determined, a new CRC model was constructed based on multivariate Cox proportional hazard regression analysis to examine the prognosis of patients. The analyses showed that the model was stable and robust.
We used multiple scores and details of immune cell infiltration as indicators to assess changes in the tumor microenvironment of CRC patients before and after lymph node metastasis, and quantify and model the immune cells in the microenvironment to predict the overall survival of CRC patients.
肿瘤免疫疗法已成为癌症治疗的重要手段。肿瘤细胞与肿瘤微环境中的免疫调节因子相互作用决定了治疗反应,肿瘤微环境在抑制或增强免疫反应中起着重要作用。然而,淋巴结(LN)转移会导致结直肠癌患者肿瘤微环境发生重大变化,直接影响预后。
利用从癌症基因组图谱(TCGA)数据库下载的数据,我们通过生物信息学方法研究了LN阴性和阳性人群之间的微环境差异。
LN阳性组患者的免疫评分、细胞溶解活性评分和总生存率均显著低于LN阴性组。此外,高突变负荷和新抗原负荷可抑制结直肠癌的淋巴结转移。特别是,在LN阳性组中,单核细胞与M1巨噬细胞的比例显著下调。确定LN阳性和阴性组之间的差异表达mRNA后,基于多变量Cox比例风险回归分析构建了一个新的结直肠癌模型,以评估患者的预后。分析表明该模型稳定且可靠。
我们使用多个评分和免疫细胞浸润细节作为指标,评估结直肠癌患者淋巴结转移前后肿瘤微环境的变化,并对微环境中的免疫细胞进行量化和建模,以预测结直肠癌患者的总生存率。