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:Impact of stromal tumor-infiltrating lymphocytes (sTILs) on response to neoadjuvant chemotherapy in triple-negative early breast cancer in the WSG-ADAPT TN trial.
Impact of stromal tumor-infiltrating lymphocytes (sTILs) on response to neoadjuvant chemotherapy in triple-negative early breast cancer in the WSG-ADAPT TN trial.
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sTILs 对 iDFS 的独立影响提示,有利的免疫反应可影响关键肿瘤生物学过程,从而促进长期生存。结果提示,在新辅助治疗后,pCR 作为生存替代指标的可靠性可能在 TNBC 中因免疫反应或其他因素定义的亚组之间有所不同。NACT 期间对 sTILs 的动态测量可支持以免疫反应为指导的患者选择,从而为极低水平(更有效的治疗)和极高水平(降阶梯概念)制定个体化治疗策略。
基线时基质TIL(肿瘤浸润淋巴细胞)(sTILs)密度较高与三阴性乳腺癌(TNBC)新辅助化疗(NACT)后病理完全缓解(pCR)率增加相关。尽管有证据支持pCR与TNBC生存期呈有利关联,但sTILs(在调整pCR后)对生存期的独立影响尚未确立。此外,NACT期间sTILs动态变化对TNBC的pCR和生存期的影响尚不清楚。
随机WSG-ADAPT TN II期试验比较了12周白蛋白结合型紫杉醇联合吉西他滨与卡铂的疗效。这项预先计划的转化分析评估了基线时(sTIL-0)和化疗3周后(sTIL-3)sTIL测量对pCR和浸润性疾病无生存期(iDFS)的影响。通过ROC分析和逻辑回归量化sTIL-0和sTIL-3对pCR的预测性能;使用Kaplan-Meier估计和Cox回归(含中介分析)确定其对iDFS的影响。
对于pCR的预测,sTIL-0和sTIL-3的AUC统计量在所有患者中分别为0.60和0.63;在NP/G中,sTIL-3的AUC更高。基线时“淋巴细胞为主”状态(sTIL-0 ≥ 60%)的阳性预测值(PPV)为59.3%,但仅有13.0%的患者具有该状态。对于non-pCR的预测,sTIL-0 ≤ 10%这一截断点的PPV = 69.5%,同时适用于33.8%的患者。较高的sTIL水平(尤其是在3周时)与更好的iDFS独立且有利地相关,即使在调整pCR后也是如此。例如,3周时sTILs ≥ 60%(对比< 60%)的调整风险比为0.48 [0.23-0.99]。3周活检中低细胞密度是pCR的最强单一预测因子(在两个治疗组中均如此),但不是iDFS的预测因子。
Higher density of stromal tumor-infiltrating lymphocytes (sTILs) at baseline has been associated with increased rates of pathological complete response (pCR) after neoadjuvant chemotherapy (NACT) in triple-negative breast cancer (TNBC). While evidence supports favorable association of pCR with survival in TNBC, an independent impact of sTILs (after adjustment for pCR) on survival is not yet established. Moreover, the impact of sTIL dynamics during NACT on pCR and survival in TNBC is unknown.
The randomized WSG-ADAPT TN phase II trial compared efficacy of 12-week nab-paclitaxel with gemcitabine versus carboplatin. This preplanned translational analysis assessed impacts of sTIL measurements at baseline (sTIL-0) and after 3 weeks of chemotherapy (sTIL-3) on pCR and invasive disease-free survival (iDFS). Predictive performance of sTIL-0 and sTIL-3 for pCR was quantified by ROC analysis and logistic regression; Kaplan-Meier estimation and Cox regression (with mediation analysis) were used to determine their impact on iDFS.
For prediction of pCR, the AUC statistics for sTIL-0 and sTIL-3 were 0.60 and 0.63, respectively, in all patients; AUC for sTIL-3 was higher in NP/G. The positive predictive value (PPV) of "lymphocyte-predominant" status (sTIL-0 ≥ 60%) at baseline was 59.3%, though only 13.0% of patients had this status. To predict non-pCR, the cut point sTIL-0 ≤ 10% yielded PPV = 69.5% while addressing 33.8% of patients. Higher sTIL levels (particularly at 3 weeks) were independently and favorably associated with better iDFS, even after adjusting for pCR. For example, the adjusted hazard ratio for 3-week sTILs ≥ 60% (vs. < 60%) was 0.48 [0.23-0.99]. Low cellularity in 3-week biopsies was the strongest individual predictor for pCR (in both therapy arms), but not for iDFS.
The independent impact of sTILs on iDFS suggests that favorable immune response can influence key tumor biological processes for long-term survival. The results suggest that the reliability of pCR following neoadjuvant therapy as a surrogate for survival could vary among subgroups in TNBC defined by immune response or other factors. Dynamic measurements of sTILs under NACT could support immune response-guided patient selection for individualized therapy approaches for both very low levels (more effective therapies) and very high levels (de-escalation concepts). TRIAL REGISTRATION: Clinical trials No: NCT01815242, retrospectively registered January 25, 2013.
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