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.
过继性自然杀伤(NK)细胞疗法是治疗三阴性乳腺癌的一种有前景的策略,但其疗效往往受到瘤内持久性差以及在免疫抑制性肿瘤微环境中功能耗竭的限制。
英文原题:Triggering receptors expressed on myeloid cells (TREM-1) and TREM-2 as predictors of pathological complete response to neoadjuvant therapy in triple-negative breast cancer.
基质TREM-1和TREM-2与pCR的相反关联表明,TIL介导的肿瘤微环境可能在塑造TNBC治疗敏感性方面发挥重要作用。TREM-1高表达与炎症性、治疗应答表型相关,而TREM-2高表达则反映免疫抑制性、耐药状态。对二者进行联合评估可能为预测TNBC治疗应答以及开发新型免疫调节策略提供具有临床意义的见解。
三阴性乳腺癌(TNBC)是乳腺癌中最具侵袭性的亚型之一,以早期转移、高复发率和有限的靶向治疗选择为特征。新辅助化疗(NACT)后达到病理完全缓解(pCR)是长期预后公认的替代指标,但可靠的预测性生物标志物仍难以确定。TREM-1 和 TREM-2 是关键的免疫调节因子,决定肿瘤微环境(TME)中促炎信号与免疫抑制信号之间的平衡。本研究旨在评估 TREM-1 和 TREM-2 表达对 TNBC 患者 NACT 后 pCR 的预测价值。
对71例接受基于化疗的NACT治疗的早期或局部晚期TNBC患者的治疗前活检组织,通过免疫组织化学(IHC)检测TREM-1和TREM-2。最终分析采用基质/TIL H评分。查阅临床记录以确定治疗方案。截断值通过基于约登指数的受试者工作特征(ROC)分析确定,并采用多变量逻辑回归识别pCR的独立预测因素。
高间质TREM-1表达(> 90)独立预测更高的pCR率(OR 12.25;p = 0.003),而高间质TREM-2表达(> 10)与较低的pCR可能性相关(OR 0.105;p = 0.030)。预设的高Ki-67组和较低的T分期也预测pCR。在次要分析中,肿瘤细胞TREM-1和TREM-2表达与pCR无显著关联。
BACKGROUND: Triple-negative breast cancer (TNBC) is one of the most aggressive subtypes of breast cancer, characterized by early metastasis, high recurrence rates, and limited targeted therapy options. Pathologic complete response (pCR) after neoadjuvant chemotherapy (NACT) is a well-established prognostic surrogate for long-term outcome, yet reliable predictive biomarkers remain elusive. TREM-1 and TREM-2 are key immune modulators that shape the balance between proinflammatory and immunosuppressive signaling within the tumor microenvironment (TME). This study aimed to evaluate the predictive utility of TREM-1 and TREM-2 expression for pCR in TNBC after NACT. METHODS: Pre-treatment biopsies from 71 patients with early or locally advanced TNBC treated with chemotherapy-based NACT were analyzed by immunohistochemistry (IHC) for TREM-1 and TREM-2. Stromal/TIL H-scores were used for the final analysis. Clinical records were reviewed for treatment regimen. Cutoff values were determined using receiver operating characteristic (ROC) analysis based on the Youden index, and multivariable logistic regression was used to identify independent predictors of pCR. RESULTS: High stromal TREM-1 expression (> 90) independently predicted higher pCR rates (OR 12.25; p = 0.003), whereas high stromal TREM-2 expression (> 10) correlated with lower pCR likelihood (OR 0.105; p = 0.030). The predefined high Ki-67 group and lower T-stage also predicted pCR. In secondary analyses, tumor-cell TREM-1 and TREM-2 expression were not significantly associated with pCR. CONCLUSION: The opposing associations of stromal TREM-1 and TREM-2 with pCR suggest that the TIL-mediated tumor microenvironment may play an important role in shaping treatment sensitivity in TNBC. High TREM-1 expression is linked to an inflammatory, treatment-responsive phenotype, whereas high TREM-2 expression reflects an immunosuppressive, resistant state. Their combined evaluation may provide clinically meaningful insights for predicting therapeutic response and for developing novel immunomodulatory strategies in TNBC.
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