肿瘤细胞治疗研究
英文原题:Tumor-Infiltrating Lymphocytes as Predictors of Response to Neoadjuvant Chemotherapy in Breast Cancer: Added Value of Morphological Characterization Beyond Quantification.
Tumor-Infiltrating Lymphocytes as Predictors of Response to Neoadjuvant Chemotherapy in Breast Cancer: Added Value of Morphological Characterization Beyond Quantification.
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我们分析了 2009 年至 2016 年间接受 NACT 治疗的 477 例 II-III 期乳腺癌患者。对诊断性空芯针活检进行了前瞻性重新评估。TILs 按照国际 TILs 工作组建议进行定量。使用标准化标准评估浸润的形态学特征,包括细胞组成(淋巴细胞为主 vs. 浆细胞丰富)、异质性和定位。病理完全缓解(pCR)定义为乳腺和腋窝淋巴结中无浸润性肿瘤(ypT0/Tis ypN0)。进行单因素和多因素 logistic 回归分析,以评估 TILs(定量和形态学评估)对整个队列及按替代分子亚型实现 pCR 的预测价值。
TIL 临界值 >20% 被确定为预测 pCR 的最佳值。高 TILs 与高级别肿瘤、Ki67 升高、HER2 阳性和三阴性亚型、浆细胞存在以及上皮内和异质性浸润显著相关。在整个队列中,TILs > 20% 显著增加了 pCR 的可能性(OR 3.9,95%IC 2.5-6.0,p < 0.001)并且是 pCR 的独立预测因素。结合 TIL 水平和均匀性的联合变量提高了预测性能,均匀高 TIL 成为 pCR 的强预测因素(OR 5.521,95%CI 3.174-9.603,p < 0.01)。浆细胞丰富和上皮内浸润也与更高的 pCR 率相关(分别为 OR 2.7,95%CI 1.5-5.0,p = 0.001 和 OR 2.8,95%CI 1.6-5.0,p < 0.001)。亚型特异性分析证实了 TIL 在 TN 肿瘤中的预测价值,但在 HER2 阳性肿瘤中未得到证实。值得注意的是,在 luminal B-like 肿瘤中,高 TIL 是唯一的独立缓解预测因素(OR 17.982,95%CI 3.115-103.815,p = 0.001)。
在常规 H&E 染色活检中进行 TIL 评估是乳腺癌 NACT 缓解的稳健预测因素,易于获得、成本中性且不需要额外技术。整合简单的形态学特征可显著提高预测准确性,并可能优化治疗分层,尤其是在 luminal B-like 肿瘤中。
Background/Objectives : Tumor-infiltrating lymphocytes (TILs) are recognized predictors of response to neoadjuvant chemotherapy (NACT) and prognosis in breast cancer, particularly in triple-negative (TN) and HER2-positive subtypes.
However, the additional predictive value of morphological features of the inflammatory infiltrate beyond TIL quantification is not fully established.
We aimed to assess the predictive value of TILs for response to NACT in breast cancer and to determine whether morphological characteristics of the inflammatory infiltrate enhance predictive accuracy. Methods: We analyzed 477 patients with stage II-III breast cancer treated with NACT between 2009 and 2016. Diagnostic core needle biopsies were prospectively re-evaluated. TILs were quantified according to International TILs Working Group recommendations. Morphological features of the infiltrate, including cell composition (lymphocytic vs. plasma cell-rich), heterogeneity, and localization, were evaluated using standardized criteria. Pathologic complete response (pCR) was defined as absence of invasive tumor in the breast and in the axillary lymph nodes (ypT0/Tis ypN0). Univariate and multivariate logistic regression analyses were performed to assess the predictive value of TILs (quantitative and morphological assessment) to achieve pCR for the entire cohort and by surrogate molecular subtype.
Results: A TIL cutoff of >20% was identified as optimal for predicting pCR. High TILs were significantly associated with high-grade tumors, elevatedKi67, HER2-positive and TN subtypes, presence of plasma cells, and intraepithelial and heterogeneous infiltrates. In the overall cohort, TILs > 20% significantly increased the likelihood of pCR (OR 3. 9, 95%IC 2. 5-6. 0, p < 0. 001) and was an independent predictor of pCR.
A combined variable incorporating TIL level and homogeneity improved predictive performance, with homogeneously high TILs emerging as a strong predictor of pCR (OR 5. 521, 95%CI 3. 174-9. 603, p < 0. 01). Plasma cell-rich and intraepithelial infiltrates were also associated with higher pCR rates (respectively, OR 2. 7, 95%CI 1. 5-5. 0, p = 0. 001 and OR 2. 8, 95%CI 1. 6-5. 0, p < 0. 001). Subtype-specific analyses confirmed the predictive value of TILs in TN tumors, but not in HER2-positive ones.
Notably, in luminal B-like tumors, high TILs were the only independent predictor of response (OR 17. 982, 95%CI 3. 115-103. 815, p = 0. 001). Conclusions: TIL assessment on routine H&E-stained biopsies is a robust predictor of response to NACT in breast cancer that is readily available, cost-neutral and does not require additional techniques. Integration of simple morphological features significantly enhances predictive accuracy and may refine treatment stratification, particularly in luminal B-like tumors.
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