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:Exploration of the relationship between tumor-infiltrating lymphocyte score and histological grade in breast cancer.
Exploration of the relationship between tumor-infiltrating lymphocyte score and histological grade in breast cancer.
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我们的结果表明,TILs-score 可用于预测乳腺癌的组织学分级,并有可能指导乳腺癌患者的治疗管理。
组织学分级是浸润性乳腺癌预后的重要因素,对于准确识别组织学分级以及重新划分乳腺癌患者中2级状态至关重要。
本研究收集了556例浸润性乳腺癌患者的数据,随后随机分为训练队列(n = 335)和验证队列(n = 221)。根据传统组织学分级将所有患者分为实际低风险组(Grade1)和高风险组(Grade2/3),并利用多光子图像获得的TIL(肿瘤浸润淋巴细胞)评分(TILs-score),以及国际免疫肿瘤生物标志物工作组(TILs-WG)提出的TILs评估方法,对浸润性乳腺癌患者组织学分级的高风险组和低风险组进行区分。此外,使用TILs-score将Grade2(G2)重新分类为G2/低风险和G2/高风险。使用岭回归获取训练队列中每种TILs的系数,并基于三种TILs的系数创建TILs-score。
统计分析显示,TILs-score与组织学分级显著相关,并且是组织学分级的独立预测因子(比值比[OR],2.548;95%CI,1.648-3.941;P < 0.0001),但TILs-WG不是分级的独立预测因素(单因素分析中P > 0.05)。此外,G2/高风险组的风险高于G2/低风险组,G2/低风险患者的生存率与Grade1相似,而G2/高风险患者的生存率甚至比G3患者更差。
The histological grade is an important factor in the prognosis of invasive breast cancer and is vital to accurately identify the histological grade and reclassify of Grade2 status in breast cancer patients.
In this study, data were collected from 556 invasive breast cancer patients, and then randomly divided into training cohort (n = 335) and validation cohort (n = 221). All patients were divided into actual low risk group (Grade1) and high risk group (Grade2/3) based on traditional histological grade, and tumor-infiltrating lymphocyte score (TILs-score) obtained from multiphoton images, and the TILs assessment method proposed by International Immuno-Oncology Biomarker Working Group (TILs-WG) were also used to differentiate between high risk group and low risk group of histological grade in patients with invasive breast cancer. Furthermore, TILs-score was used to reclassify Grade2 (G2) into G2 /Low risk and G2/High risk. The coefficients for each TILs in the training cohort were retrieved using ridge regression and TILs-score was created based on the coefficients of the three kinds of TILs.
Statistical analysis shows that TILs-score is significantly correlated with histological grade, and is an independent predictor of histological grade (odds ratio [OR], 2.548; 95%CI, 1.648-3.941; P < 0.0001), but TILs-WG is not an independent predictive factor for grade (P > 0.05 in the univariate analysis). Moreover, the risk of G2/High risk group is higher than that of G2/Low risk group, and the survival rate of patients with G2/Low risk is similar to that of Grade1, while the survival rate of patients with G2/High risk is even worse than that of patients with G3.
Our results suggest that TILs-score can be used to predict the histological grade of breast cancer and potentially to guide the therapeutic management of breast cancer patients.
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