Delineating the tumour microenvironment response to a lipid nanoparticle formulation

Lipopolysaccharide nanomedicine-based reversion of chemotherapy-induced metastatic potential of breast cancer via hampering tumoral TLR4/SIRT2 axis and IL6 secretion from tumor-associated macrophages

Triple-negative breast cancer (TNBC) is a metastatic disease. Targeted approaches, as implementing nanoliposomes, e.g., liposomal doxorubicin (DOX), did not exhibit significantly improved survival. Therefore, we aimed at reducing the metastatic potential of TNBC through a double punch to cancer cells and tumor-associated macrophages (TAMs). Databases' analyses showed that targeting TLR4/SIRT2 axis might be a possible option. Inspired by the emergence of lipopolysaccharide (LPS) in clinical trials, we developed bioactive copolymeric nanomicelles, originating from the self-assembly of our synthesized LPS-pectin conjugate (LPS-PEC) for the delivery of DOX (DOX@LPS-PEC). Targeting TLR4 via DOX@LPS-PEC micelles enhanced cellular uptake, however, it failed to significantly improve the cytotoxic potential of DOX. Alternatively, co-targeting SIRT2 via Sirtinol at a specific ratio (DOX@LPS-PEC: Sirtinol 1:5 w/w) elevated cellular oxidative stress, improved cytotoxic potential on 2D-monolayer and 3D-spheroid models, and significantly reduced migratory potential of MDA-MB-231 cells compared to DOX@LPS-PEC alone. Finally, DOX@LPS-PEC plus Sirtinol at the same ratio exhibited an ability to hamper TAM-secreted IL6, which contribute to the metastatic potential of TNBC. In conclusion, targeting TLR4/SIRT2 axis in TNBC synergizes with the effect of chemotherapeutics, e.g. DOX, reduce the metastatic potential of TNBC cells via down-regulating TLR4 and hampering tumor-microenvironment IL6.

Histopathological biomarkers for predicting the tumour accumulation of nanomedicines

The clinical prospects of cancer nanomedicines depend on effective patient stratification. Here we report the identification of predictive biomarkers of the accumulation of nanomedicines in tumour tissue. By using supervised machine learning on data of the accumulation of nanomedicines in tumour models in mice, we identified the densities of blood vessels and of tumour-associated macrophages as key predictive features. On the basis of these two features, we derived a biomarker score correlating with the concentration of liposomal doxorubicin in tumours and validated it in three syngeneic tumour models in immunocompetent mice and in four cell-line-derived and six patient-derived tumour xenografts in mice. The score effectively discriminated tumours according to the accumulation of nanomedicines (high versus low), with an area under the receiver operating characteristic curve of 0.91. Histopathological assessment of 30 tumour specimens from patients and of 28 corresponding primary tumour biopsies confirmed the score's effectiveness in predicting the tumour accumulation of liposomal doxorubicin. Biomarkers of the tumour accumulation of nanomedicines may aid the stratification of patients in clinical trials of cancer nanomedicines.

Accumulation of liposomes in metastatic tumor sites is not necessary for anti-cancer drug efficacy

BACKGROUND

The tumor microenvironment is profoundly heterogeneous particularly when comparing sites of metastases. Establishing the extent of this heterogeneity may provide guidance on how best to design lipid-based drug delivery systems to treat metastatic disease. Building on our previous research, the current study employs a murine model of metastatic cancer to explore the distribution of ~ 100 nm liposomes.

METHODS

Female NCr nude mice were inoculated with a fluorescently labeled, Her2/neu-positive, trastuzumab-resistant breast cancer cell line, JIMT-1mkate, either in the mammary fat pad to create an orthotopic tumor (OT), or via intracardiac injection (IC) to establish tumors throughout the body. Animals were dosed with fluorescent and radio-labeled liposomes. In vivo and ex vivo fluorescent imaging was used to track liposome distribution over a period of 48 h. Liposome distribution in orthotopic tumors was compared to sites of tumor growth that arose following IC injection.

RESULTS

A significant amount of inter-vessel heterogeneity for DiR distribution was observed, with most tumor blood vessels showing little to no presence of the DiR-labelled liposomes. Further, there was limited extravascular distribution of DiR liposomes in the perivascular regions around DiR-positive vessels. While all OT tumors contained at least some DiR-positive vessels, many metastases had very little or none. Despite the apparent limited distribution of liposomes within metastases, two liposomal drug formulations, Irinophore C and Doxil, showed similar efficacy for both the OT and IC JIMT-1mkate models.

CONCLUSION

These findings suggest that liposomal formulations achieve therapeutic benefits through mechanisms that extend beyond the enhanced permeability and retention effect.

A landscape of recent advances in lipid nanoparticles and their translational potential for the treatment of solid tumors

Lipid nanoparticles (LNPs) are biocompatible drug delivery systems that have found numerous applications in medicine. Their versatile nature enables the encapsulation and targeting of various types of medically relevant molecular cargo, including oligonucleotides, proteins, and small molecules for the treatment of diseases, such as cancer. Cancers that form solid tumors are particularly relevant for LNP-based therapeutics due to the enhanced permeation and retention effect that allows nanoparticles to accumulate within the tumor tissue. Additionally, LNPs can be formulated for both locoregional and systemic delivery depending on the tumor type and stage. To date, LNPs have been used extensively in the clinic to reduce systemic toxicity and improve outcomes in cancer patients by encapsulating chemotherapeutic drugs. Next-generation lipid nanoparticles are currently being developed to expand their use in gene therapy and immunotherapy, as well as to enable the co-encapsulation of multiple drugs in a single system. Other developments include the design of targeted LNPs to specific cells and tissues, and triggerable release systems to control cargo delivery at the tumor site. This review paper highlights recent developments in LNP drug delivery formulations and focuses on the treatment of solid tumors, while also discussing some of their current translational limitations and potential opportunities in the field.

Nanomedicine - Immune System Interactions: Limitations and Opportunities for the Treatment of Cancer

Nanoparticles interact with immune cells in many different ways. These interactions are crucially important for determining nanoparticles' ability to be used for cancer therapy. Traditionally, strategies such as PEGylation have been employed to reduce (the kinetics of) nanoparticle uptake by immune cells, to endow them with long circulation properties, and to enable them to exploit the Enhanced Permeability and Retention (EPR) effect to accumulate in tumors. More recently, with immunotherapy becoming an increasingly important cornerstone in the clinical management of cancer, ever more research efforts in academia and industry are focusing on specifically targeting immune cells with nanoparticles. In this chapter, we describe the barriers and opportunities of immune cell targeting with nanoparticles, and we discuss how nanoparticle-based drug delivery to specific immune cell populations in tumors as well as in secondary myeloid and lymphoid organs (such as bone marrow, lymph nodes, and spleen) can be leveraged to boost the efficacy of cancer immunotherapy.