Article Text

Download PDFPDF

1116 Tumor associated macrophage targeting via CRISPR lipid nanoparticle platform reprogramed tumor microenvironment and induced cancer cell elimination in breast cancer mouse model
  1. Yaqoob Ali1,
  2. Tyler Galbraith1,
  3. Nourhan Abdelfattah1,
  4. Thomas L Wong2,
  5. Arturas Ziemys1,
  6. Han Nhat Tran1,
  7. Chihiro Hashimoto1,
  8. Harlan Cook1,
  9. Yitian Xu1,
  10. Shu-Hsia Chen1,
  11. Kyuson Yun3 and
  12. Fransisca Leonard1
  1. 1Houston Methodist Research Institute, Houston, TX, USA
  2. 2Texas A&M University College of Medicine, Houston, TX, USA
  3. 3Houston Methodist/Well Cornell Medical College, Houston, TX, USA
  • Journal for ImmunoTherapy of Cancer (JITC) preprint. The copyright holder for this preprint are the authors/funders, who have granted JITC permission to display the preprint. All rights reserved. No reuse allowed without permission.

Abstract

Background More than half of patients with stage IV breast cancer will eventually develop liver metastasis. Liver metastases are hard to treat, with a very low five-year survival rate of approximately 11%. Recent discoveries highlight the crucial role of macrophages in cancer, making them an appealing target for therapeutic strategies. In the tumor microenvironment, tumor-associated macrophages (TAMs) are predominantly immunosuppressive Arg1+ M2-like macrophages that promote cancer growth, metastasis, and drug resistance. Studies, including our own, suggest that converting TAMs to the anti-tumorigenic M1-like phenotype through macrophage reprogramming shows promising results for cancer eradication. This study utilized CRISPR gene editing delivered via lipid nanoparticles (CRISPR-LNP) to modulate macrophage polarization in the treatment of breast cancer metastasis.

Methods To obtain sustainable change in macrophage polarization, we are utilizing CRISPR gene editing and have successfully loaded them into LNP platform (CRISPR-LNP) (figure 1A). CRISPR screening using LNP revealed that RICTOR gene targeting enabled reprograming of pro-tumorigenic M2-like TAMs to anti-tumorigenic M1 phenotype in vitro and in vivo. In a syngeneic liver metastasis mouse model, we assessed single and multi-dose biodistribution, treatment efficacy, and immune landscape alterations.

Results In the 4T1 breast cancer liver metastatic model, intravenously injected CRISPR-Rictor-LNP nanoparticles concentrated in liver metastases 24 hours post-injection (figure 1B). 75% of the fluorescence detected across the entire body at 24h time point was confined in the metastatic regions. The treatment resulted in a modest increase in macrophage numbers and a significant shift from immunosuppressive CD206+ macrophages to inflammatory CD80+ macrophages within tumor lesions, increasing from approximately 5% to 9% of the total cell population (figure 1C). Imaging Mass Cytometry data further indicated an almost 80% reduction in proliferating cell numbers. Single-cell RNA sequencing analysis showed a depletion of exhausted T-cells and regulatory T-cells (figure 1F&G), with a similar trend observed in macrophage population shift (figure 1E). The treatment also led to significant increase in survival of animals treated with the therapy (figure 1D).

Conclusions These results highlight the potential of reprogramming macrophages from cancer-promoting to cancer-suppressing phenotypes as a promising approach to inhibit cancer growth and enhance the presence of cytotoxic CD8+ T-cells. This strategy could be used effectively as a standalone therapy or in combination with immune checkpoint inhibitors to achieve synergistic effects and effectively eliminate cancer cells. We will conduct further studies will focus on assessing safety, optimizing accumulation in the tumor microenvironment, minimizing exposure to healthy cells, as well as expanding this therapeutic approach to other types of breast cancer metastases.

Abstract 1116 Figure 1

CRISPR-Rictor-LNP characteization and in vivo evaluation. A) CR-RIC-LNP design. B)Rhodamine tagged CR-Ric-LNP confined to the liver metastatic lesions C) IMC quantification data. D) Kaplan-Meier survival curve. E) Cell quantification from scRNAseq F&G) Remodeling of T-cell dynamic after therapy

http://creativecommons.org/licenses/by-nc/4.0/

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/.

Statistics from Altmetric.com

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.