树突状细胞和细胞因子诱导的杀伤细胞共培养对前列腺癌细胞的免疫效应

IF 1.8 4区生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Cell Biochemistry and Biophysics Pub Date : 2024-10-25 DOI:10.1007/s12013-024-01569-2

Yaojun Li, Shanmiao Chen, Shoulei Liu

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引用次数: 0

摘要

目的是探讨树突状细胞（DC）和细胞因子诱导的杀伤细胞（CIK）共同培养对前列腺癌（PCa）细胞的免疫效果。研究人员从健康献血者体内提取了外周血单核细胞（PBMCs）。诱导并共同培养 DC 和 CIK 细胞。观察 DC、CIK 和 DC-CIK 细胞/组的增殖和表型变化。通过向腹腔注射 PC3 PCa 细胞构建模型大鼠。成功的 50 例大鼠被分为阴性对照组、化疗组、DC 组、CIK 组和 DC-CIK 治疗组（每组 10 只），以观察肿瘤进展情况。DC-CIK组白细胞介素-12（IL-12）（（103.67 ± 2.77）pg/mL）和干扰素-γ（IFN-γ）（（730.09 ± 23.52）pg/mL）的分泌浓度高于DC组和CIK组；在培养12至20天内，DC-CIK组CIK的增殖率高于CIK组。在目标效应比为 10:1/20:1/50:1 时，DC-CIK 组的 CD3+/ CD56+ 和 CD8+ 阳性率（PR）高于 CIK 组，CD45RA+ 阳性率（PR）低于 CIK 组。治疗 25 天后，DC-CIK 组的肿瘤大小明显小于阴性对照组、化疗组、DC 组和 CIK 组；DC-CIK 组的肿瘤组织坏死面积也明显大于阴性对照组、化疗组、DC 组和 CIK 组（P.05）。

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Immune Effect of Co-Culture of Dendritic Cells and Cytokine-Induced Killer Cells on Prostate Cancer Cells.

It was to explore the immune outcome of co-culture of dendritic cells (DC) and cytokine-induced killer cells (CIK) on prostate cancer (PCa) cells. Peripheral blood mononuclear cells (PBMCs) were extracted from healthy blood donors. DC and CIK cells were induced and co-cultured. The proliferation and phenotypic changes of DC, CIK, and DC-CIK cells/groups were observed. Model rats were constructed by injecting PC3 PCa cells into the abdominal cavity. The successful 50 cases were divided into a negative control group, a chemotherapy group, a DC group, a CIK group, and a DC-CIK treatment group (each consisting of 10 rats) to observe tumor progression. The secreted concentrations of interleukin-12 (IL-12) ((103.67 ± 2.77) pg/mL) and interferon-γ (IFN-γ) ((730.09 ± 23.52) pg/mL) were higher in DC-CIK group as against DC and CIK groups; the proliferation of CIK was higher in DC-CIK group as against CIK within 12 to 20 days of culture. The positive rate (PR) of CD3⁺/ CD56⁺ and CD8⁺ was higher and that of CD45RA⁺ was lower in DC-CIK group as against CIK.The killing rate of the DC-CIK group was higher than that of the DC and CIK groups at a target effect ratio of 10:1/20:1/50:1 (P < 0.05). After the treatment, the body weight of rats in the chemotherapy group, DC group, and CIK group was significantly reduced (P < 0.05), while no significant changes were observed in the negative control group and DC-CIK group (P > 0.05). After 25 days of treatment, the tumor size in the DC-CIK group was significantly smaller compared to the negative control group, chemotherapy group, DC group, and CIK group; the necrotic area of the tumor tissue in the DC-CIK group was also significantly larger than that in the negative control group, chemotherapy group, DC group, and CIK group (P < 0.05). Co-culture of DC and CIK is excellent in enhancing the proliferation of CIK cells, increasing the secretion of IL-12 and IFN-γ, and enhancing the activity of immune cells and anti-tumor ability, showing its potential in anti-PCa tumor immunotherapy.

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来源期刊

Cell Biochemistry and Biophysics 生物-生化与分子生物学

CiteScore

4.40

自引率

0.00%

发文量

审稿时长

7.5 months

期刊介绍： Cell Biochemistry and Biophysics (CBB) aims to publish papers on the nature of the biochemical and biophysical mechanisms underlying the structure, control and function of cellular systems The reports should be within the framework of modern biochemistry and chemistry, biophysics and cell physiology, physics and engineering, molecular and structural biology. The relationship between molecular structure and function under investigation is emphasized. Examples of subject areas that CBB publishes are: · biochemical and biophysical aspects of cell structure and function; · interactions of cells and their molecular/macromolecular constituents; · innovative developments in genetic and biomolecular engineering; · computer-based analysis of tissues, cells, cell networks, organelles, and molecular/macromolecular assemblies; · photometric, spectroscopic, microscopic, mechanical, and electrical methodologies/techniques in analytical cytology, cytometry and innovative instrument design For articles that focus on computational aspects, authors should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parameterization, simulations conditions etc. In addition, docking calculations (virtual screening, QSAR, etc.) should be validated either by experimental studies or one or more reliable theoretical cross-validation methods.