基于 DNA 超分子水凝胶的保护性 NK 细胞储库用于增强三阴性乳腺癌治疗
Protective NK Cell Reservoir Based on DNA Supramolecular Hydrogel for Enhanced Triple-Negative Breast Cancer Therapy.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Ultrasound features combined with tumor-infiltrating lymphocytes for prediction of pathological response to neoadjuvant chemotherapy in breast cancer.
Ultrasound features combined with tumor-infiltrating lymphocytes for prediction of pathological response to neoadjuvant chemotherapy in breast cancer.
分数与星级只用于站内排序 —— 不代表疗效、安全性或个人适用性。
该模型结合了 US 特征、临床特征和 TIL 水平,在预测乳腺癌对 NAC 的病理反应方面表现更好。
新辅助化疗(NAC)在乳腺癌的治疗和预后中发挥着重要作用。早期识别真正能够从前瞻性NAC中获益的患者在临床实践中至关重要。本研究的目的是探讨超声特征和临床特征联合TIL(肿瘤浸润淋巴细胞)水平是否能提高预测乳腺癌患者NAC疗效的性能。
在这项回顾性研究中,纳入了202例接受NAC后手术的浸润性乳腺癌患者。由两名放射科医师回顾基线超声特征。采用Miller-Payne Grading(MPG)评估病理反应,MPG 4-5定义为主要组织学缓解者(MHR)。采用多变量logistic回归分析评估MHR的独立预测因素并构建预测模型。采用受试者工作特征(ROC)曲线评估模型的性能。
在202例患者中,104例达到MHR,98例未达到MHR。多因素logistic回归分析显示,US大小(p=0.042)、分子亚型(p=0.001)、TIL水平(p<0.001)、形状(p=0.030)和后部特征(p=0.018)是MHR的独立预测因素。结合US特征、临床特征和TIL水平的模型表现更优,曲线下面积(AUC)为0.811,敏感性为0.663,特异性为0.847。
Of the 202 patients, 104 patients achieved MHR and 98 patients achieved non-MHR. Multivariate logistic regression analysis showed the US size (p=0.042), molecular subtypes (p=0.001), TIL levels (p<0.001), shape (p=0.030), and posterior features (p=0.018) were independent predictors for MHR. The model combined the US features, clinical characteristics, and TIL levels had a better performance with an area under the curve (AUC) of 0.811, a sensitivity of 0.663, and a specificity of 0.847.
The model combined US features, clinical characteristics, and TIL levels had a better performance in predicting pathological response to NAC in breast cancer.
MEMBER ACCOUNT
登录成功会直接打开下一页。