决定异体 CAR T 细胞排斥与扩增的细胞和分子机制
Cellular and molecular mechanisms determining allogeneic CAR T cell rejection and expansion.
我们评估了11例接受单一批次cemacabtagene ansegedleucel(cema-cel)治疗的大B细胞淋巴瘤患者,cemacabtagene ansegedleucel是一种异体抗CD19 CAR T产品。
英文原题:Variation in Immune and Inflammatory Blood Markers in Advanced Melanoma Patients Treated with PD-1 Inhibitors: A Preliminary Exploratory Study.
结果:约85%和79%的患者分别在治疗期间记录到CD8+淋巴细胞和NK细胞水平升高的趋势。
背景:用于治疗晚期黑色素瘤的免疫检查点抑制剂(ICI)已取得显著成果,具有长期缓解和改善生存率的效果,但并非对所有接受治疗的患者均有效。因此,对ICI治疗反应的预测性生物标志物已被深入研究。我们的研究旨在评估Nivolumab治疗的晚期黑色素瘤患者外周血淋巴细胞变异的动态变化及其与一组相关炎症因子的相关性。方法:通过流式细胞术对外周血免疫细胞亚群(CD3+、CD4+和CD8+T细胞;CD19+B细胞;CD16+CD56+NK细胞;以及CD4+/CD8+比值)进行免疫表型评估,同时进行全血细胞计数;通过免疫测定法对血清中S100、IL-6和TNF-α蛋白水平进行定量,并通过化学发光法测定乳酸脱氢酶(LDH)。结果:约85%和79%的患者在治疗期间分别记录到CD8+淋巴细胞和NK细胞水平升高的趋势。NK细胞百分比与CD3+、CD4+和CD19+细胞呈负相关;后三种细胞群也与炎症性中性粒细胞/淋巴细胞比值(NLR)呈负相关。此外,CD19+细胞与全身炎症反应指数(SIRI)和全身免疫炎症指数(SII)呈负相关。对进展生物标志物的评估显示,LDH水平与IL-6和S100蛋白直接相关,但未发现与TNFα的相关性;IL-6水平与CD3+、CD4+和CD8+淋巴细胞百分比呈负相关。结论:晚期黑色素瘤患者免疫治疗期间淋巴细胞亚群的变化,与其他细胞和/或分子炎症标志物相关,可能为免疫系统反应提供见解,但仍需进一步的前瞻性研究。
Background: Immune checkpoint inhibitors (ICIs) used for the treatment of advanced melanoma have yielded significant results, with long-term responses and improved survival rates, but not for all treated patients. Therefore, predictive biomarkers of response to ICI therapy have been intensively explored. Our study aimed to evaluate the dynamics of peripheral blood lymphocyte variation and their correlation with a set of related inflammatory factors in Nivolumab-treated advanced melanoma patients. Methods: The immunophenotypic assessment of peripheral blood immune cell subpopulations (CD3 + , CD4 + , and CD8 + T cells; CD19 + B cells; CD16 + CD56 + NK cells; and CD4 + /CD8 + ratio) was performed by the flow cytometry technique, concomitantly with a complete blood count; levels of S100, IL-6, and TNF-α proteins were quantified in serum by immunoassays, and lactate dehydrogenase (LDH) by a chemiluminescence assay. Results: Approximately 85% and 79% of patients recorded a trend of increasing levels of CD8 + lymphocytes and NK cells, respectively, during therapy. The percentage of NK cells negatively correlated with CD3 + , CD4 + , and CD19 + cells; the last three cell populations also established negative correlations with the inflammatory neutrophile/lymphocyte ratio (NLR). Furthermore, CD19 + cells were negatively correlated with the systemic inflammatory response index (SIRI) and systemic immune-inflammation index (SII). The evaluation of progression biomarkers showed that LDH levels directly correlated with IL-6 and S100 proteins, but no correlation was found with TNFα; IL-6 levels negatively correlated with percentages of CD3 + , CD4 + , and CD8 + lymphocytes. Conclusions: Variation in lymphocyte subpopulations during immunotherapy of advanced melanoma patients, associated with other cellular and/or molecular inflammatory markers, might provide insights about immune system response, but additional prospective studies are needed.
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