CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Systemic immunological profile of children with B-cell acute lymphoblastic leukemia: performance of cell populations and soluble mediators as serum biomarkers.
Systemic immunological profile of children with B-cell acute lymphoblastic leukemia: performance of cell populations and soluble mediators as serum biomarkers.
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最后指出,与 GC 相比,缓解诱导后的系统性免疫特征仍存在显著差异,且多种免疫介质作为血清生物标志物表现良好。
B-ALL 患儿存在免疫失衡,其特征是造血区室重塑,并对外周血(PB)产生影响。尽管骨髓(BM)是恶性肿瘤的主要维持部位,但免疫细胞和分子的监测频率有限,因此识别 PB 中的生物标志物成为监测疾病进展的替代方法。
在此,我们描述了接受B-ALL治疗的儿童的系统免疫学特征,并评估了细胞群体、趋化因子和细胞因子在临床随访期间作为潜在生物标志物的表现。为此,收集了20名B-ALL患者在诊断时(D0)和诱导治疗期间(第8、15和35天)的PB样本。此外,28名儿童的样本被用作对照组(CG)。通过流式细胞术免疫表型分析和细胞珠阵列分析评估了细胞谱(NK和NKT细胞、Treg、CD3+ T、CD4+ T和CD8+ T细胞)和可溶性免疫介质(CXCL8、CCL2、CXCL9、CCL5、CXCL10、IL-6、TNF、IFN-γ、IL-17A、IL-4、IL-10和IL-2)。
在D0,B-ALL患者的细胞群体频率减少,但CD4+ T和CD8+ T细胞除外,这些细胞连同CCL2、CXCL9、CXCL10、IL-6和IL-10相对于CG患者升高。在D8和D15,患者呈现免疫特征的转变。而在D35,他们已经呈现与D0相反的特征,NKT、CD3+ T、CD4+ T和Treg细胞增加,连同CCL5,以及CXCL9、CXCL10和IL-10水平降低,从而表明B-ALL患者在诱导治疗期间呈现复杂且动态的免疫网络。此外,我们发现许多免疫介质可用于根据当前使用的参数对治疗反应进行分类。
Children with B-cell acute lymphoblastic leukemia (B-ALL) have an immune imbalance that is marked by remodeling of the hematopoietic compartment, with effects on peripheral blood (PB). Although the bone marrow (BM) is the main maintenance site of malignancy, the frequency with which immune cells and molecules can be monitored is limited, thus the identification of biomarkers in PB becomes an alternative for monitoring the evolution of the disease.
Here, we characterize the systemic immunological profile in children undergoing treatment for B-ALL, and evaluate the performance of cell populations, chemokines and cytokines as potential biomarkers during clinical follow-up. For this purpose, PB samples from 20 patients with B-ALL were collected on diagnosis (D0) and during induction therapy (days 8, 15 and 35). In addition, samples from 28 children were used as a control group (CG). The cellular profile (NK and NKT-cells, Treg, CD3 + T, CD4 + T and CD8 + T cells) and soluble immunological mediators (CXCL8, CCL2, CXCL9, CCL5, CXCL10, IL-6, TNF, IFN-γ, IL-17A, IL- 4, IL-10 and IL-2) were evaluated via flow cytometry immunophenotyping and cytometric bead array assay.
On D0, B-ALL patients showed reduction in the frequency of cell populations, except for CD4 + T and CD8 + T cells, which together with CCL2, CXCL9, CXCL10, IL-6 and IL-10 were elevated in relation to the patients of the CG. On D8 and D15, the patients presented a transition in the immunological profile. While, on D35, they already presented an opposite profile to D0, with an increase in NKT, CD3 + T, CD4 + T and Treg cells, along with CCL5, and a decrease in the levels of CXCL9, CXCL10 and IL-10, thus demonstrating that B-ALL patients present a complex and dynamic immune network during induction therapy. Furthermore, we identified that many immunological mediators could be used to classify the therapeutic response based on currently used parameters.
Finally, it is noted that the systemic immunological profile after remission induction still differs significantly when compared to the GC and that multiple immunological mediators performed well as serum biomarkers.
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