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:Prognostic Significance of CD4+ T Cell Transcription Factors in Tumor Microenvironment: Insights from Tumor-Infiltrating Lymphocytes in Breast Cancer.
Prognostic Significance of CD4+ T Cell Transcription Factors in Tumor Microenvironment: Insights from Tumor-Infiltrating Lymphocytes in Breast Cancer.
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肿瘤微环境(TME)通过与免疫系统相互作用影响乳腺癌进展,尤其会影响CD4⁺ T细胞分化。本研究旨在探讨TME如何影响TIL(肿瘤浸润淋巴细胞)中Foxp3、RORγt、GATA3和T-bet转录因子的表达,以及这些表达对临床结局的意义。研究纳入48例乳腺癌患者,采集肿瘤组织并采用定量实时PCR评估转录因子表达。存在淋巴血管侵犯(LVI)和肿瘤分级较高的患者Foxp3表达显著升高;相反,晚期患者RORγt表达降低。GATA3水平与LVI、肿瘤分级及较晚肿瘤分期呈正相关;T-bet表达则在LVI阳性、淋巴结阳性及肿瘤体积较大的患者中较低。多变量分析显示,RORγt是淋巴结受累和疾病分期的危险因素,而GATA3为保护因素。受试者工作特征(ROC)分析显示,GATA3有望用于晚期病例识别,RORγt可作为可靠分期标志物。研究结果凸显TIL来源转录因子在乳腺癌进展中的关键作用及其作为预后生物标志物的潜力,并强调TME介导的T细胞分化会影响疾病结局。
The tumor microenvironment (TME) influences breast cancer progression through immune system interactions, particularly by affecting the differentiation of CD4+ T cells.
This study aims to explore how the TME affects the expression of transcription factors-Foxp3, ROR t, GATA3, and T-bet-in tumor-infiltrating lymphocytes (TILs) and their implications for clinical outcomes. Forty-eight breast cancer patients were enrolled. Tumor tissues were collected, and quantitative real-time PCR was performed to assess the expression of transcription factors. Patients with positive lymphovascular invasion (LVI) and high tumor grades exhibited significantly elevated Foxp3 expression.
In contrast, ROR t expression decreased in patients with advanced disease. GATA3 levels correlated positively with LVI, tumor grade and advanced tumor stages, while T-bet expression was lower in patients with positive LVI, positive lymph node and larger tumor sizes.
Multivariate analysis identified ROR t as a risk factor for lymph node involvement and stage of disease, while GATA3 emerged as a protective factor. Receiver operating characteristic (ROC) analysis demonstrated GATA3's potential for late-stage detection, and ROR t as a reliable staging marker.
Our findings highlight the critical role of TIL-derived transcription factors in breast cancer progression and their potential as prognostic biomarkers, emphasizing the importance of TME-mediated T cell differentiation in shaping disease outcomes.
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