CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Tumor-infiltrating lymphocytes as predictive biomarkers in neoadjuvant treatment of HER2-positive breast cancer.
Tumor-infiltrating lymphocytes as predictive biomarkers in neoadjuvant treatment of HER2-positive breast cancer.
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TIL 水平是 HER2 阳性乳腺癌中 pCR 和 Ki67 抑制的有力预测因子,尤其是在初始 TIL 较高的患者中。
TIL(肿瘤浸润淋巴细胞)已成为HER2阳性乳腺癌的预测性生物标志物,与治疗应答及生存结局相关。本研究评估TIL水平和Ki67抑制对该人群新辅助治疗疗效的影响。
回顾性分析136例HER2阳性乳腺癌患者。根据TIL水平分层,并评估Ki67表达、病理完全缓解(pCR)及无病生存期(DFS)等临床结局。
高TIL水平(≥40%)与较高pCR率显著相关(60.32%比39.73%,P=.02),且与Ki67抑制增加相关。低TIL患者中,Ki67高表达与较高pCR率相关(57.1%比30.8%,P=.010);高TIL患者中,Ki67高低组间无显著差异(P=.317)。高TIL组DFS呈改善趋势,3年生存率为91.9%,低TIL组为80.7%,但未达到统计学显著性(P=.062)。
TIL水平是HER2阳性乳腺癌pCR和Ki67抑制的稳健预测因子,在初始TIL水平较高患者中尤为明显。这些发现提示,将TIL评估纳入个体化治疗策略可能优化新辅助治疗结局。仍需进一步研究验证结果并探究其机制。
Tumor-infiltrating lymphocytes (TILs) have emerged as predictive biomarkers in HER2-positive breast cancer, correlating with treatment response and survival outcomes. This study evaluates the impact of TIL levels and Ki67 suppression on neoadjuvant therapy efficacy in this patient population.
A retrospective analysis of 136 HER2-positive breast cancer patients was conducted. Patients were stratified by TIL levels, and clinical outcomes, including Ki67 expression, pathological complete response (pCR), and disease-free survival (DFS), were assessed.
High TIL levels ( 40%) were significantly associated with higher pCR rates (60.32% vs. 39.73%, P = .02) and with TIL 10% greater Ki67 suppression. In patients with low TIL levels, high Ki67 expression correlated with better pCR rates (57.1% vs 30.8%, P = 0.010), while in high TIL patients, no significant difference was observed between high and low Ki67 groups (P = 0.317). A trend toward improved DFS was noted in the high TIL group, with 3-year survival rates of 91.9% vs. 80.7% in the low TIL group, though this was not statistically significant (P = .062).
TIL levels are robust predictors of pCR and Ki67 suppression in HER2-positive breast cancer, particularly in patients with high initial TILs. These findings highlight the potential for integrating TIL evaluation into personalized treatment strategies to optimize neoadjuvant therapy outcomes. Further research is warranted to validate these results and explore underlying mechanisms.
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