RNF43 p.G659fs 通过 PI3K/AKT/mTOR 信号通路和 HLA-E 上调导致 MSI-high 结直肠癌中 NK 细胞功能障碍
RNF43 p.G659fs leads to natural killer cell dysfunction in MSI-high colorectal cancer through PI3K/AKT/mTOR signaling and HLA-E up-regulation.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:A nomogram-based immunoprofile predicts clinical outcomes for stage II and III human colorectal cancer.
A nomogram-based immunoprofile predicts clinical outcomes for stage II and III human colorectal cancer.
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结直肠癌(CRC)免疫评分的预后意义高于TNM分期系统。然而,肿瘤免疫微环境包含多种影响临床预后的成分,因此需要更广泛的免疫标志物,建立准确的免疫特征谱以评估CRC患者预后。
本研究结合免疫组化、多光谱免疫组化和客观评估,在两个独立CRC队列中检测4种免疫细胞(CD4+、CD8+、叉头框蛋白P3阳性及CD33+细胞)的浸润情况,以及6种共信号分子〔程序性死亡蛋白1配体1、PD-1、T细胞免疫球蛋白黏蛋白家族成员3、淋巴细胞活化基因3、肿瘤坏死因子受体超家族成员4、诱导型T细胞共刺激分子〕和吲哚胺2,3-双加氧酶1的表达。采用Kaplan-Meier方法评估总生存期(OS),通过Cox比例风险模型评估独立预后因素并建立基于列线图的免疫特征谱系统。使用一致性指数(C-index)和校准曲线评估列线图预测能力,并构建简化版以便临床应用。
通过受试者工作特征(ROC)分析,比较该免疫特征谱和TNM分期系统对Ⅱ/Ⅲ期CRC患者OS的预测准确性。主要队列多变量分析显示,CD8+TIL(肿瘤浸润淋巴细胞)、CD33+髓源性抑制细胞和TNM分期是OS的独立预后因素,均纳入列线图。列线图预测OS的C-index在内部验证队列为0.861(95% CI 0.796~0.925),在外部验证队列为0.759(95% CI 0.714~0.804)。简化版列线图免疫特征谱可将相同分期患者区分为不同风险亚组,尤其对Ⅱ期(P<0.0001)和Ⅲ期患者(P=0.0002)。对Ⅱ/Ⅲ期CRC患者的免疫特征谱和TNM分期系统进行ROC曲线两两比较,差异有统计学意义(P=0.046,Z=1.995)。
综上,基于列线图的免疫特征谱可准确预测临床结局,并可作为Ⅱ/Ⅲ期CRC患者TNM分期系统的有用补充。
An immunoscore for colorectal cancer (CRC) has higher prognostic significance than the TNM staging system.
However, the tumor immune microenvironment contains various components that affect clinical prognosis.
Therefore, a broader range of immune markers is required to establish an accurate immunoprofile to assess the prognosis of patients with CRC. Using immunohistochemistry combined with multispectral immunohistochemistry and objective assessments, the infiltration of four immune cell types (CD4 + /CD8 + /forkhead box p3 + /CD33 + cells), as well as the expression of six co-signaling molecules [programmed cell death 1 (PD1) ligand 1/PD1/T-cell immunoglobulin mucin family member 3/lymphocyte-activating 3/tumor necrosis factor receptor superfamily, member 4/inducible T-cell costimulator] and indoleamine 2,3-dioxygenase 1 were investigated in two independent cohorts of CRC. The patients' overall survival (OS) was evaluated using the Kaplan-Meier method. Using the Cox proportional hazards model, independent prognostic factors of patients were assessed and a nomogram-based immunoprofile system was developed. The predictive ability of the nomogram was determined using a concordance index (C-index) and calibration curve.
To facilitate clinical application, a simplified nomogram-based immunoprofile was constructed. Using receiver operating characteristic (ROC) analysis, the predictive accuracy for OS was compared between the immunoprofile and the TNM staging system for patients with stage II/III CRC. According to multivariate analysis for the primary cohort, independent prognostic factors for OS were CD8 + tumor-infiltrating lymphocytes, CD33 + myeloid-derived suppressor cells and TNM stage, which were included in the nomogram. The C-index of the nomogram for predicting OS was 0.
861 (95% CI: 0. 796-0. 925) for the internal validation and 0. 759 (95% CI: 0. 714-0. 804) for the external validation cohort. The simplified nomogram-based immunoprofile system was able to separate same-stage patients into different risk subgroups, particularly for TNM stage II (P<0. 0001) and III (P=0. 0002) patients. Pairwise comparison of ROC curves for the immunoprofile and TNM stage systems for patients with stage II/III CRC revealed statistically significant differences (P=0. 046) and the Z-statistic value was 1. 995.
In conclusion, the nomogram-based immunoprofile system provides prognostic accuracy regarding clinical outcomes and is a useful supplement to the TNM staging system for patients with stage II/III CRC.
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