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大粒径阴离子纳米颗粒对卵巢肿瘤相关巨噬细胞的特异性靶向作用。

Specific targeting of ovarian tumor-associated macrophages by large, anionic nanoparticles.

机构信息

Department of Molecular Medicine, City of Hope and Beckman Research Institute, Duarte, CA 91010.

Irell and Manella Graduate School of Biological Sciences, City of Hope and Beckman Research Institute, Duarte, CA 91010.

出版信息

Proc Natl Acad Sci U S A. 2020 Aug 18;117(33):19737-19745. doi: 10.1073/pnas.1917424117. Epub 2020 Jul 30.

Abstract

Immunotherapy is emerging as one of the most effective methods for treating many cancers. However, immunotherapy can still introduce significant off-target toxicity, and methods are sought to enable targeted immunotherapy at tumor sites. Here, we show that relatively large (>100-nm) anionic nanoparticles administered intraperitoneally (i.p.) selectively accumulate in tumor-associated macrophages (TAMs). In a mouse model of metastatic ovarian cancer, fluorescently labeled silica, poly(lactic--glycolic acid), and polystyrene nanoparticles administered i.p. were all found to selectively accumulate in TAMs. Quantifying silica particle uptake indicated that >80% of the injected dose was in TAMs. Particles that were smaller than 100 nm or cationic or administered intravenously (i.v.) showed no TAM targeting. Moreover, this phenomenon is likely to occur in humans because when freshly excised human surgical samples were treated with the fluorescent silica nanoparticles no interaction with healthy tissue was seen but selective uptake by TAMs was seen in 13 different patient samples. Ovarian cancer is a deadly disease that afflicts ∼22,000 women per year in the United States, and the presence of immunosuppressive TAMs at tumors is correlated with decreased survival. The ability to selectively target TAMs opens the door to targeted immunotherapy for ovarian cancer.

摘要

免疫疗法正在成为治疗多种癌症最有效的方法之一。然而,免疫疗法仍然会引入显著的脱靶毒性,因此人们正在寻求方法以使肿瘤部位的靶向免疫疗法成为可能。在这里,我们表明,相对较大(> 100nm)的阴离子纳米颗粒经腹腔内(i.p.)给药会选择性地积聚在肿瘤相关巨噬细胞(TAMs)中。在转移性卵巢癌的小鼠模型中,荧光标记的二氧化硅、聚(乳酸-乙醇酸)和聚苯乙烯纳米颗粒经 i.p.给药均被发现选择性地积聚在 TAMs 中。定量分析二氧化硅颗粒的摄取表明,超过 80%的注射剂量存在于 TAMs 中。小于 100nm 的颗粒或阳离子颗粒或静脉内(i.v.)给药则没有 TAM 靶向。此外,这种现象可能在人类中发生,因为当新鲜切除的人类手术样本用荧光二氧化硅纳米颗粒处理时,没有观察到与健康组织的相互作用,但在 13 个不同的患者样本中观察到 TAMs 的选择性摄取。卵巢癌是一种致命疾病,在美国每年影响约 22000 名女性,肿瘤中存在免疫抑制性 TAMs 与生存率降低相关。选择性靶向 TAMs 的能力为卵巢癌的靶向免疫疗法开辟了道路。

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本文引用的文献

1
TLR7/8-agonist-loaded nanoparticles promote the polarization of tumour-associated macrophages to enhance cancer immunotherapy.
Nat Biomed Eng. 2018 Aug;2(8):578-588. doi: 10.1038/s41551-018-0236-8. Epub 2018 May 21.
2
Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma.
Nat Med. 2018 Oct;24(10):1545-1549. doi: 10.1038/s41591-018-0157-9. Epub 2018 Aug 20.
3
Intraperitoneal Administration of Neural Stem Cell-Nanoparticle Conjugates Targets Chemotherapy to Ovarian Tumors.
Bioconjug Chem. 2017 Jun 21;28(6):1767-1776. doi: 10.1021/acs.bioconjchem.7b00237. Epub 2017 May 18.
4
Tumour-associated macrophages as treatment targets in oncology.
Nat Rev Clin Oncol. 2017 Jul;14(7):399-416. doi: 10.1038/nrclinonc.2016.217. Epub 2017 Jan 24.
5
Highly Specific and Sensitive Fluorescent Nanoprobes for Image-Guided Resection of Sub-Millimeter Peritoneal Tumors.
ACS Nano. 2017 Feb 28;11(2):1466-1477. doi: 10.1021/acsnano.6b06777. Epub 2017 Feb 1.
6
The role of immune checkpoint inhibition in the treatment of ovarian cancer.
Gynecol Oncol Res Pract. 2016 Nov 24;3:11. doi: 10.1186/s40661-016-0033-6. eCollection 2016.
7
Tumor-associated macrophages drive spheroid formation during early transcoelomic metastasis of ovarian cancer.
J Clin Invest. 2016 Nov 1;126(11):4157-4173. doi: 10.1172/JCI87252. Epub 2016 Oct 10.

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