三阴性乳腺癌球形模型中基质含量调节肿瘤靶向鼠伤寒沙门菌的渗透和疗效。

IF 7.6 2区 医学 Q1 ONCOLOGY
Y Zhan, B Saha, B Burkel, E J Leaman, S M Ponik, B Behkam
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引用次数: 0

摘要

基于细菌的癌症治疗(BBCT)尚未赋予实体瘤的临床生存优势,部分原因是有限的定植。胶原蛋白是众所周知的阻碍渗透和效能的许多治疗方式在实体瘤。然而,胶原蛋白对BBCT疗效的影响在很大程度上仍未被探索。我们假设胶原蛋白限制了肿瘤选择性鼠伤寒沙门氏菌VNP20009的分布,从而限制了其疗效。通过比较高、低胶原含量的三阴性乳腺癌球体模型,我们发现高胶原含量可使细菌分布减少约4.5倍,抗肿瘤效果减少61%。细菌在肿瘤内分布的数学模型表明,在富含胶原蛋白的肿瘤中,10倍的低扩散率是观察到的结果的原因。单细胞分辨率成像证实了这些发现,显示细菌聚集在富含胶原蛋白的区域,其中胶原蛋白作为移动细菌的物理屏障。发现胶原含量与BBCT性能之间的相互作用,为改进BBCT菌株的工程设计提供了新的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stroma content in triple-negative breast cancer spheroid models regulates penetration and efficacy of tumor-targeting Salmonella typhimurium.

Bacteria-based cancer therapy (BBCT) has not yet conferred clinical survival advantages in solid tumors, partly due to limited colonization. Collagen is well-known to hinder the penetration and efficacy of many therapeutic modalities in solid tumors. Nevertheless, the effect of collagen on BBCT efficacy remains largely unexplored. We hypothesized that collagen limits the distribution and, thereby, the efficacy of tumor-selective Salmonella Typhimurium VNP20009. By comparing high and low collagen-content triple-negative breast cancer spheroid models, we found that high collagen content reduces bacterial distribution by ~4.5-fold and antitumor effect by 61%. Mathematical modeling of bacteria intratumoral distribution shows that a 10-fold lower diffusivity in collagen-rich tumors is responsible for the observed outcomes. Single-cell resolution imaging corroborates these findings, revealing bacteria accumulation behind collagen-rich regions, wherein collagen acts as a physical barrier for motile bacteria. Discovering the interplay between collagen content and BBCT performance opens new opportunities for engineering BBCT strains with improved efficacy.

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来源期刊
NPJ Breast Cancer
NPJ Breast Cancer Medicine-Pharmacology (medical)
CiteScore
10.10
自引率
1.70%
发文量
122
审稿时长
9 weeks
期刊介绍: npj Breast Cancer publishes original research articles, reviews, brief correspondence, meeting reports, editorial summaries and hypothesis generating observations which could be unexplained or preliminary findings from experiments, novel ideas, or the framing of new questions that need to be solved. Featured topics of the journal include imaging, immunotherapy, molecular classification of disease, mechanism-based therapies largely targeting signal transduction pathways, carcinogenesis including hereditary susceptibility and molecular epidemiology, survivorship issues including long-term toxicities of treatment and secondary neoplasm occurrence, the biophysics of cancer, mechanisms of metastasis and their perturbation, and studies of the tumor microenvironment.
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