Mononuclear but Not Polymorphonuclear Phagocyte Depletion Increases Circulation Times and Improves Mammary Tumor-Homing Efficiency of Donor Bone Marrow-Derived Monocytes

Unveiling the Phenotypic Variability of Macrophages: Insights from Donor Diversity and Pooling Strategies

Macrophages are key players in inflammation and immune responses due to their phenotypic plasticity. This study examined the effects of pooling donor-derived macrophages on their phenotype and function, focusing on murine bone marrow-derived macrophages (BMDMs) and human monocyte-derived macrophages (hMDMs). Murine BMDMs were generated using L929-conditioned media and compared across single and pooled donors (two-to-five mice). Similarly, hMDMs cultured with M-CSF from individual donors were compared to pooled cultures. Pooling macrophages did not alter core phenotypic markers (CD11b, F4/80, CD64) or functional outputs such as cytokine secretion and nitric oxide production. In hMDMs, pooling reduced variability and led to slightly elevated or more-uniform marker expression. These findings demonstrate that pooling macrophages minimizes inter-individual variability without compromising cellular stability or function, enhancing reproducibility in immunological research while maintaining the option of single-donor studies for personalized analyses.

Intravital microscopy for real-time monitoring of drug delivery and nanobiological processes

Intravital microscopy (IVM) expands our understanding of cellular and molecular processes, with applications ranging from fundamental biology to (patho)physiology and immunology, as well as from drug delivery to drug processing and drug efficacy testing. In this review, we highlight modalities, methods and model organisms that make up today's IVM landscape, and we present how IVM - via its high spatiotemporal resolution - enables analysis of metabolites, small molecules, nanoparticles, immune cells, and the (tumor) tissue microenvironment. We furthermore present examples of how IVM facilitates the elucidation of nanomedicine kinetics and targeting mechanisms, as well as of biological processes such as immune cell death, host-pathogen interactions, metabolic states, and disease progression. We conclude by discussing the prospects of IVM clinical translation and examining the integration of machine learning in future IVM practice.

Regulatory guidelines and preclinical tools to study the biodistribution of RNA therapeutics

The success of the messenger RNA-based COVID-19 vaccines of Moderna and Pfizer/BioNTech marks the beginning of a new chapter in modern medicine. However, the rapid rise of mRNA therapeutics has resulted in a regulatory framework that is somewhat lagging. The current guidelines either do not apply, do not mention RNA therapeutics, or do not have widely accepted definitions. This review describes the guidelines for preclinical biodistribution studies of mRNA/siRNA therapeutics and highlights the relevant differences for mRNA vaccines. We also discuss the role of in vivo RNA imaging techniques and other assays to fulfill and/or complement the regulatory requirements. Specifically, quantitative whole-body autoradiography, microautoradiography, mass spectrometry-based assays, hybridization techniques (FISH, bDNA), PCR-based methods, in vivo fluorescence imaging, and in vivo bioluminescence imaging, are discussed. We conclude that this new and rapidly evolving class of medicines demands a multi-layered approach to fully understand its biodistribution and in vivo characteristics.

Nano-engineered immune cells as "guided missiles" for cancer therapy

Immune cells can actively regulate tumors or inflammatory sites and have good biocompatibility and safety. Currently, they are one of the most promising candidates for drug delivery systems. Moreover, immune cells can significantly extend the circulation time of nanoparticles and have broad-spectrum tumor-targeting properties. This article first introduces the immune cell types most commonly used in recent years, analyzes their advantages and disadvantages, and elucidates their application in anti-tumor therapy. Next, the various ways of loading nanoparticles on immune cells that have been used in recent years are summarized and simply divided into two categories: backpacks and Trojan horses. Finally, the two "mountains" that stand in front of us when using immune cells as cell carriers, off-target problems and effective release strategies, are discussed.

Prognostic value of tumour-infiltrating lymphocytes based on the evaluation of frequency in patients with oestrogen receptor-positive breast cancer

PURPOSE

We investigate the prognostic value of tumour-infiltrating lymphocytes (TILs) based on the evaluation of the present frequency in patients with breast cancer rather than that of the density proposed in previous research.

METHODS

Multiphoton microscopy (MPM) was introduced to label-freely obtain TIL images from a total of 564 patients, and then TILs were redefined as TILs-1 to TILs-3 from MPM images according to the relative positions between TILs, tumour cells and collagen fibres. More seminally, a new method, which was based on the present frequency of TILs-1 to TILs-3, was presented for assessing the predictive ability of TILs, and then a tumour-infiltrating lymphocytes score (TILs-score) for each patient was obtained by ridge regression analysis.

RESULTS

Data results from Cox proportional hazards regression analysis showed that the TILs-score was an independent prognostic factor for both disease-free survival (DFS) and overall survival (OS) in the complete cohort (n = 564), oestrogen receptor (ER)-positive subgroup (n = 352) and ER-negative subgroup (n = 212), but was more suitable for the ER-positive subgroup. Furthermore, the nomogram model combining the TILs-score with independent clinical factors further improved the predictive ability for the ER-positive subgroup: area under the curve (AUC) at 5-year DFS (OS) and hazard ratio (HR) for DFS (OS) in the training cohort increase from 0.735 (0.785) to 0.814 (0.830) and from 3.156 (5.845) to 4.643 (7.006), respectively, and in the validation cohort from 0.749 (0.748) to 0.804 (0.830) and from 3.104 (3.701) to 3.729 (5.132), respectively.

CONCLUSION

The TILs-score is an independent prognostic factor and displays a strong prognostic value for ER-positive breast cancer. To our knowledge, this is the first time to use MPM for studying the prognostic value of TILs in breast cancer.

A paradigm shift in cancer nanomedicine: from traditional tumor targeting to leveraging the immune system

Twenty-five years after the approval of the first anticancer nanodrug, we have to start re(de)fining tumor-targeted drug delivery alongside advances in immuno-oncology. Given that cancer is characterized by an immunological imbalance that goes beyond the primary tumor, we should focus on targeting, engaging, and modulating cancer-associated immune cells in the tumor microenvironment (TME), circulation, and immune cell-enriched tissues. When designed and applied rationally, nanomedicines will assist in restoring the immunological equilibrium at the whole-body level, which holds potential not only for cancer therapy, but also for the treatment of a range of other disorders.