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:Risk Factors of Chemotherapy-Induced Thrombocytopenia After Oxaliplatin-Containing Chemotherapy for Gastrointestinal Malignancies.
Risk Factors of Chemotherapy-Induced Thrombocytopenia After Oxaliplatin-Containing Chemotherapy for Gastrointestinal Malignancies.
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奥沙利铂总剂量、M 分期、白蛋白、基线血小板计数和 NK 细胞是 CIT 的独立危险因素。
血小板减少是最常见的化疗相关血液学毒性之一。本研究旨在确定胃肠道肿瘤患者奥沙利铂化疗诱导血小板减少(CIT)的预测因素,以指导临床实践。
主要队列纳入 750 例恶性胃肠道肿瘤患者,收集其基本临床资料、血清学指标和人体测量指标。根据是否发生 CIT 进行单变量分析,并筛选显著因素进入多变量分析。使用 R 语言软件建立列线图模型,并绘制校准曲线和 ROC 曲线。
单变量分析发现 17 项与 CIT 发生密切相关的因素,即年龄、淋巴结转移(N)分期、远处转移(M)分期、肺转移、其他部位转移、化疗方案、疗程、奥沙利铂总剂量、AST、白蛋白、中性粒细胞、单核细胞、基线血小板、转铁蛋白、自然杀伤(NK)细胞、相位角和 SMI(P<0.10)。二元 Logistic 多变量回归发现 5 项 CIT 独立危险因素(P<0.05):M 分期、奥沙利铂总剂量、白蛋白、基线血小板计数及 NK 细胞。基于多变量 Logistic 回归结果,使用 R 软件建立列线图模型。校准曲线显示联合预测因子一致性良好。ROC 曲线下面积为 0.877,最佳截点为 0.3579613(敏感度 78.9%,特异度 81.8%),预测效能较好。
奥沙利铂总剂量、M 分期、白蛋白、基线血小板计数及 NK 细胞是 CIT 的独立危险因素。建立的列线图模型对胃肠道恶性肿瘤患者奥沙利铂化疗相关血小板减少风险具有良好预测效果。
Thrombocytopenia is among the most common chemotherapy-related hematologic toxicities. We aim to determine the predictors of oxaliplatin chemotherapy-induced thrombocytopenia in patients with gastrointestinal tumors to guide the clinic.
Clinical data of 750 patients with a malignant gastrointestinal tumor were included as the primary cohort. Basic clinical data, serological indices, and anthropometric indices of these patients were collected. According to the presence or absence of CIT, univariate analysis was performed to identify significant factors for multivariate analysis. In R language software, nomogram was constructed based on the results of multi-factor analysis, and the calibration curve and ROC curve were drawn.
Univariate analysis identified 17 factors as closely related to CIT occurrence, namely age, lymph node metastasis (N) stage, metastasis (M) stage, lung metastasis, other site metastasis, chemotherapy regimen, course of treatment, total dose of oxaliplatin, AST, albumin, neutrophils, monocytes, baseline platelets, transferrin, natural killer (NK) cell, phase angle, and SMI (P < 0.10). The binary logistic multivariate regression analysis revealed five independent risk factors for developing CIT (P < 0.05), including the M stage, total dose of oxaliplatin, albumin, baseline thrombocyte count, and NK cell. Based on the results of multivariate logistic regression analysis, R software was used to establish a nomogram model. The calibration curve shows that the combined predictor has good consistency. The area under the ROC curve was 0.877 and the best cut-off value was 0.3579613 (sensitivity, 78.9%; specificity, 81.8%), which showed the better prediction efficiency.
The total dose of oxaliplatin, M stage, albumin, baseline platelet count, and NK cell was independent risk factors for CIT. The sequentially constructed histogram model had a good predictive effect on the risk of thrombocytopenia caused by oxaliplatin chemotherapy in patients with gastrointestinal malignancies.
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