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:Clinical utility of tumor-infiltrating lymphocyte evaluation by two different methods in breast cancer patients treated with neoadjuvant chemotherapy.
Clinical utility of tumor-infiltrating lymphocyte evaluation by two different methods in breast cancer patients treated with neoadjuvant chemotherapy.
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平均法可能对接受 NAC 的乳腺癌患者具有优势,因为使用该方法的 TIL 评分在活检和手术标本之间更为一致,并且与临床结局的关联更好。我们的探索性研究表明,基于临床病理数据的机器学习可能更好地预测通过平均法而非热点法评估的 TIL 评分。
本研究旨在探讨通过“平均”和“热点”方法评估的TIL(肿瘤浸润淋巴细胞)(TILs)在乳腺癌患者中的临床应用价值。
我们通过平均法和热点法对367例未接受新辅助化疗(NAC)的乳腺癌患者进行了检查,以确定活检标本与手术标本之间TIL评分的的一致性。同时,在144例接受NAC的乳腺癌患者中,将NAC前的TIL评分与病理完全缓解(pCR)率及临床结局进行了比较。采用随机森林回归,根据临床病理数据预测了通过这两种方法评估的TIL评分。
手术标本使用热点法得出的TIL评分高于活检标本(p < 0.001),而使用平均法时活检标本和手术标本的TIL评分相似。使用热点法(p < 0.001)和平均法(p = 0.001)确定的TIL评分与pCR率之间存在线性关系。未达到pCR且平均法TIL评分低的患者与其他患者相比,总生存期显著更差(p = 0.02)。测试集预测TIL评分的均方根误差分别为19.662(热点法)和10.955(平均法)。
The aim of this study was to examine the clinical utility of tumor-infiltrating lymphocytes (TILs) evaluated by "average" and "hot-spot" methods in breast cancer patients.
We examined 367 breast cancer patients without neoadjuvant chemotherapy (NAC) by average and hot-spot methods to determine the consistency of TIL scores between biopsy and surgical specimens. TIL scores before NAC were also compared with the pathological complete response (pCR) rate and clinical outcomes in 144 breast cancer patients that received NAC. TIL scores evaluated by the two methods were predicted from clinicopathological data using random forest regression.
Surgical specimens showed higher TIL scores than biopsy specimens using the hot-spot method (p < 0.001), while biopsy and surgical specimens showed similar TIL scores using the average method. There was a linear relationship between the pCR rate and TIL scores determined using hot-spot (p < 0.001) and average methods (p = 0.001). Patients without pCR and low TILs by the average method had significantly worse overall survival compared to other patients (p = 0.02). The root mean squared errors of the predicted TIL score for the test set were 19.662 (hot-spot) and 10.955 (average).
The average method may have an advantage for breast cancer patients receiving NAC, since the TIL score using this method is more consistent between biopsy and surgical specimens, and it associates better with clinical outcomes. Our exploratory study showed that machine learning from clinicopathological data may better predict TIL scores assessed by the average, rather than hot-spot, method.
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