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标准抗癌药物和常用伴随药物的免疫肿瘤学效应:体外评估。

Immuno-oncological effects of standard anticancer agents and commonly used concomitant drugs: an in vitro assessment.

机构信息

Department of Medical Sciences, Division of Cancer Pharmacology and Computational Medicine, Uppsala University, SE-75185, Uppsala, Sweden.

Department of Immunology, Genetics and Pathology, Uppsala University, SE-75185, Uppsala, Sweden.

出版信息

BMC Pharmacol Toxicol. 2024 Mar 5;25(1):25. doi: 10.1186/s40360-024-00746-6.

DOI:10.1186/s40360-024-00746-6
PMID:38444002
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10913607/
Abstract

BACKGROUND

It has become evident in the field of oncology that the outcome of medical treatment is influenced by the combined effect exerted on both cancer- and immune cells. Therefore, we evaluated potential immunological effects of 46 standard anticancer agents and 22 commonly administered concomitant non-cancer drugs.

METHODS

We utilized a miniaturized in vitro model system comprised of fluorescently labeled human colon and lung cancer cell lines grown as monocultures and co-cultured with activated peripheral blood mononuclear cells (PBMCs). The Bliss Independence Model was then applied to detect antagonism and synergy between the drugs and activated immune cells.

RESULTS

Among the standard anticancer agents, tyrosine kinase inhibitors (TKIs) stood out as the top inducers of both antagonism and synergy. Ruxolitinib and dasatinib emerged as the most notably antagonistic substances, exhibiting the lowest Bliss scores, whereas sorafenib was shown to synergize with activated PBMCs. Most concomitant drugs did not induce neither antagonism nor synergy. However, the statins mevastatin and simvastatin were uniquely shown to synergize with activated PBMC at all tested drug concentrations in the colon cancer model.

CONCLUSION

We utilized a miniaturized tumor-immune model to enable time and cost-effective evaluation of a broad panel of drugs in an immuno-oncology setting in vitro. Using this approach, immunomodulatory effects exerted by TKIs and statins were identified.

摘要

背景

肿瘤学领域的研究已经表明,癌症治疗的结果受到癌细胞和免疫细胞综合作用的影响。因此,我们评估了 46 种标准抗癌药物和 22 种常用伴随非癌症药物的潜在免疫效应。

方法

我们利用微型化的体外模型系统,该系统由荧光标记的人结肠和肺癌细胞系组成,作为单培养物和与激活的外周血单核细胞(PBMC)共培养。然后应用 Bliss 独立性模型来检测药物和激活的免疫细胞之间的拮抗和协同作用。

结果

在标准抗癌药物中,酪氨酸激酶抑制剂(TKIs)是拮抗和协同作用的最强诱导剂。鲁索替尼和达沙替尼是最明显的拮抗物质,表现出最低的 Bliss 评分,而索拉非尼则与激活的 PBMC 协同作用。大多数伴随药物既不诱导拮抗作用,也不诱导协同作用。然而,他汀类药物美伐他汀和辛伐他汀在结肠癌模型中所有测试药物浓度下均表现出与激活的 PBMC 协同作用,这是独特的。

结论

我们利用微型化的肿瘤免疫模型,在体外免疫肿瘤学环境中,以时间和成本有效的方式评估了广泛的药物组合。通过这种方法,确定了 TKI 和他汀类药物的免疫调节作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ef/10913607/8dfb4fd9df99/40360_2024_746_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ef/10913607/5731a2aa6d06/40360_2024_746_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ef/10913607/aa1a097e5e9e/40360_2024_746_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ef/10913607/8b3e52e2a8ef/40360_2024_746_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ef/10913607/8dfb4fd9df99/40360_2024_746_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ef/10913607/5731a2aa6d06/40360_2024_746_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ef/10913607/aa1a097e5e9e/40360_2024_746_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ef/10913607/8b3e52e2a8ef/40360_2024_746_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ef/10913607/8dfb4fd9df99/40360_2024_746_Fig4_HTML.jpg

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