Cancer treatment has been revolutionized by immunotherapy and nanomedicine, offering innovative strategies to overcome the tumor microenvironment (TME) complexities. However, challenges such as therapeutic resistance, off-target effects, and immune suppression necessitate advanced delivery systems and combination approaches. Recent advancements in nanoparticle-based therapies, biomimetic platforms, and personalized immunotherapy provide promising solutions to enhance therapeutic efficacy while minimizing systemic toxicity. This review explores recent nanoparticle-mediated immunotherapy developments, highlighting strategies to optimize drug delivery, remodel the TME, and improve patient-specific treatment outcomes. A comprehensive review of recent literature focused on nanoparticle-based drug delivery, stimuli-responsive systems, biomimetic nanoplatforms, and personalized immunotherapy approaches. The effectiveness of combination therapies integrating physical and immunological strategies was also analyzed. Nanoparticle-mediated immunotherapy enables precise targeting and controlled drug release, significantly improving therapeutic outcomes. Biomimetic nanoplatforms enhance immune modulation and drug bioavailability, while personalized immunotherapy, guided by predictive biomarkers, tailors treatment to individual patients. Advanced nanomedicine strategies, including TME remodeling, targeted genome editing, and combination immunotherapies, offer promising avenues for overcoming limitations in conventional cancer treatments. Future research should optimize nanoformulations, integrate multi-modal treatment strategies, and refine biomarker-driven personalization to enhance clinical outcomes.

Triple-negative breast cancer (TNBC) is an aggressive subtype characterized by its lack of estrogen, progesterone, and HER2 receptors, leading to limited treatment options and poor prognosis. This review synthesizes current research on the tumor microenvironment (TME) and immune cell crosstalk in TNBC to identify emerging therapeutic opportunities. The TME in TNBC is a complex ecosystem comprising immune cells, fibroblasts, and extracellular matrix components, which significantly influence tumor growth and metastasis. Single-cell RNA sequencing reveals T-cell heterogeneity and identifies prognostic genes. Regulatory T cells (Tregs) play a key role in immunosuppression, with thymidine kinase-1 (TK1) identified as a potential therapeutic target. MUC1-C and CXCL9 modulate the TME, impacting T-cell depletion and macrophage differentiation. Spatial analysis highlights the importance of cell-to-cell interactions in predicting recurrence. Epithelial-mesenchymal transition (EMT) and thermogenesis also influence the TME, while epigenetic modifications, such as HDAC inhibition, can induce pyroptosis and enhance immune cell recruitment. Integrating genomic information with TME analysis is crucial for developing personalized treatments, considering racial disparities in immune infiltration. Emerging therapies targeting immune checkpoints, modulating Treg activity, and inducing pyroptosis hold promise for improving TNBC patient outcomes. Future research should focus on multi-omics data, spatial transcriptomics, and patient-derived models to refine therapeutic interventions.

Nanomedicines have gained popularity due to their potential therapeutic applications, especially cancer treatment. Targeted nanoparticles can deliver drugs directly to cancer cells and enable prolonged drug release, reducing off-target toxicity and increasing therapeutic efficacy. However, translating nanomedicines from preclinical to clinical settings has been difficult. Rapid advancements in nanotechnology promise to enhance cancer therapies. Nanomedicine offers advanced targeting and multifunctionality. Nanoparticles (NPs) have several uses nowadays. They have been studied as drug transporters, tumor gene delivery agents, and imaging contrast agents. Nanomaterials based on organic, inorganic, lipid, or glycan substances and synthetic polymers have been used to enhance cancer therapies. This review focuses on polymeric nanoparticle delivery strategies for anticancer nanomedicines.

Background: The sequelae of COVID-19 pneumonia on pulmonary function and airways inflammation are still an area of active research. Objective: This research aimed to explore the long-term impact of COVID-19 pneumonia on the lung function after three months from recovery. Methods: Fifty subjects (age 18– 60 years) were recruited and classified into two groups: the control group (30 subjects) and the post-COVID-19 pneumonia group (20 patients). Pulmonary function tests, spirometry, body plethysmography [lung volumes and airway resistance (R_aw)], diffusion capacity for carbon monoxide (DL_CO), and fractional exhaled nitric oxide (FeNO), were measured after at least 3 months post-recovery. Results: Significant reduction in total lung capacity (TLC), forced vital capacity (FVC), forced expiratory volume (FEV₁), FEV₁/FEV, and diffusing capacity for carbon monoxide (DL_CO) was observed in post-COVID-19 subjects compared to controls. Restrictive lung impairment was observed in 50% of post-COVID-19 cases (n = 10) compared to 20% in the control group (n = 6, P = 0.026). In addition, mild diffusion defect was detected in 35% (n = 7) of the post-COVID-19 group compared to 23.3% (n = 7) in the controls (P = 0.012). Conclusion: COVID-19 pneumonia has an impact on the lung functions in terms of restrictive lung impairment and mild diffusion defect after three months from recovery. Therefore, a long-term follow-up of the lung function in post-COVID-19 survivors is recommended.

Recent developments in single-cell multi-omics technologies have provided the ability to identify diverse cell types and decipher key components of the tumor microenvironment (TME), leading to important advancements toward a much deeper understanding of how tumor microenvironment heterogeneity contributes to cancer progression and therapeutic resistance. These technologies are able to integrate data from molecular genomic, transcriptomic, proteomics, and metabolomics studies of cells at a single-cell resolution scale that give rise to the full cellular and molecular complexity in the TME. Understanding the complex and sometimes reciprocal relationships among cancer cells, CAFs, immune cells, and ECs has led to novel insights into their immense heterogeneity in functions, which can have important consequences on tumor behavior. In-depth studies have uncovered immune evasion mechanisms, including the exhaustion of T cells and metabolic reprogramming in response to hypoxia from cancer cells. Single-cell multi-omics also revealed resistance mechanisms, such as stromal cell-secreted factors and physical barriers in the extracellular matrix. Future studies examining specific metabolic pathways and targeting approaches to reduce the heterogeneity in the TME will likely lead to better outcomes with immunotherapies, drug delivery, etc., for cancer treatments. Future studies will incorporate multi-omics data, spatial relationships in tumor micro-environments, and their translation into personalized cancer therapies. This review emphasizes how single-cell multi-omics can provide insights into the cellular and molecular heterogeneity of the TME, revealing immune evasion mechanisms, metabolic reprogramming, and stromal cell influences. These insights aim to guide the development of personalized and targeted cancer therapies, highlighting the role of TME diversity in shaping tumor behavior and treatment outcomes.