Glioblastoma (GBM) is an aggressive brain tumor with a highly immunosuppressive microenvironment that promotes tumor progression and therapy resistance. Tumor-associated macrophages (TAMs), comprising up to 50% of the tumor mass, are recruited via chemokine axes such as CCL2/CCR2, CX3CL1/CX3CR1, and CXCL12/CXCR4 and adopt an M2-like immunosuppressive phenotype, facilitating immune escape and angiogenesis. Key signaling pathways, including CSF1R, STAT3, NF-κB, PI3K/Akt, and HIF-1α, regulate TAM function, making them promising therapeutic targets. Strategies such as TAM depletion, reprogramming, and immune checkpoint blockade (PD-1/PD-L1, and CD47-SIRPα) have shown potential in preclinical models. Emerging approaches, including CAR-macrophage (CAR-M) therapy, nanotechnology-based drug delivery, and exosome-mediated modulation, offer new avenues for intervention. However, clinical translation remains challenging due to GBM’s heterogeneity and adaptive resistance mechanisms. Future research should integrate multi-omics profiling and AI-driven drug discovery to refine TAM-targeted therapies and improve patient outcomes. This review provides a comprehensive analysis of TAM-mediated immune regulation in GBM and explores evolving therapeutic strategies aimed at overcoming its treatment barriers.

Glioblastoma (GBM) remains the most aggressive primary brain tumor, with poor survival outcomes and treatment limited to maximal safe surgical resection, chemotherapy with temozolomide, and radiotherapy. While immunotherapy and targeted treatments show promise, therapeutic resistance and disease progression remain major challenges. This is partly due to GBM’s classification as a “cold tumor” with low mutational burden and a lack of distinct molecular targets for drug delivery that selectively spare healthy tissue. Emerging evidence highlights the gut microbiota as a key player in cancer biology, influencing both glioma development and treatment response. This review explores the intersectionality between the gut microbiome and GBM, beginning with an overview of microbiota composition and its broader implications in cancer pathophysiology. We then examine how specific microbial populations contribute to glioma oncogenesis, modulating immune responses, inflammation, and metabolic pathways that drive tumor initiation and progression. Additionally, we discuss the gut microbiome’s role in glioma therapeutic resistance, including its impact on chemotherapy, radiotherapy, and immunotherapy efficacy. Given its influence on treatment outcomes, we evaluate emerging strategies to modulate gut flora, such as probiotics, dietary interventions, and microbiota-based therapeutics, to enhance therapy response in GBM patients. Finally, we address key challenges and future directions, emphasizing the need for standardized methodologies, mechanistic studies, and clinical trials to validate microbiota-targeted interventions in neuro-oncology. By integrating gut microbiome research into GBM treatment paradigms, we may unlock novel therapeutic avenues to improve patient survival and outcomes.

Brain metastases are the most commonly diagnosed type of central nervous system tumor, yet the mechanisms of their occurrence are still widely unknown. Lung cancer, breast cancer, and melanoma are the most common etiologies, but renal and colorectal cancers have also been described as metastasizing to the brain. Regardless of their origin, there are common mechanisms for progression to all types of brain metastases, such as the creation of a suitable tumor microenvironment in the brain, priming of tumor cells, adaptations to survive spreading in lymphatic and blood vessels, and development of mechanisms to penetrate the blood–brain barrier. However, there are complex genetic and molecular interactions that are specific to every type of primary tumor, making the understanding of the metastatic progression of tumors to the brain a challenging field of study. In this review, we aim to summarize current knowledge on the pathophysiology of brain metastases, from specific genetic characteristics of commonly metastatic tumors to the molecular and cellular mechanisms involved in progression to the central nervous system. We also briefly discuss current challenges in targeted therapies for brain metastases and how there is still a gap in knowledge that needs to be overcome to improve patient outcomes.

Clear cell renal cell carcinoma (ccRCC) remains a major clinical challenge, with high rates of recurrence and limited long-term survival despite surgical resection and VEGF-targeted therapy. Immune checkpoint inhibitors (ICIs)—targeting PD-1, PD-L1, and CTLA-4—have revolutionized first-line systemic treatment, particularly in combination with VEGF tyrosine kinase inhibitors or as dual ICI regimens. However, primary and acquired resistance, immune-related adverse events (irAEs), and heterogeneous treatment responses limit the durability of benefit in many patients. This review aims to address a central question: how can immunotherapy for ccRCC evolve from incremental survival extension to durable, potentially curative control? We highlight emerging strategies—including next-generation checkpoint inhibitors (LAG-3, TIM-3, TIGIT), bispecific T cell engagers, cytokine-based agents, CAR-T and TCR-T therapies, and cancer vaccines—designed to enhance and sustain anti-tumor immunity. In parallel, we examine the role of multi-omic and spatial biomarkers, such as PBRM1 mutations, interferon-γ signatures, single-cell spatial atlases, and gut microbiome profiles, in refining patient selection and predicting therapeutic outcomes. This review uniquely integrates mechanistic insights with translational advances, providing a forward-looking synthesis of precision immunotherapy in ccRCC. We also emphasize rational combination strategies, biomarker-guided personalization, and irAE management as key priorities to overcome resistance and improve long-term outcomes.

Gastric adenocarcinoma (GAC) remains a significant global public health challenge, characterized by high incidence and mortality rates. Progress in tumor immunology has introduced immune checkpoint inhibitors (ICIs) targeting the programmed cell death-1 (PD-1)/programmed cell death-ligand 1 (PD-L1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) pathways, demonstrating substantial potential in GAC therapy. Clinical research indicates that ICIs, particularly when combined with chemotherapy or targeted therapies, significantly enhance treatment efficacy in advanced GAC and specific molecular subtypes, including microsatellite instability-high (MSI-H) and human epidermal growth factor receptor 2 (HER2)-positive patients. However, immunotherapy is also associated with a range of immune-related adverse events (irAEs), necessitating effective management strategies to ensure treatment safety and maintain patients’ quality of life. Future studies should focus on identifying new therapeutic targets, optimizing patient selection, and developing personalized treatment approaches to further improve the efficacy and safety of immunotherapy in GAC.

Background: Glioblastoma is a highly malignant brain tumor with limited treatment options and a poor prognosis, largely driven by its complex immune microenvironment. This study aimed to identify and characterize an immune-related gene signature associated with prognosis and immune regulation in glioblastoma. Methods: We performed integrative analyses using bulk and single-cell RNA sequencing data to identify prognostically significant immune-related genes. A five-gene signature (THEMIS2, SIGLEC9, CSTA, LILRB3, and MS4A6A) was derived and its expression patterns were analyzed in association with immune cell infiltration and macrophage subtypes. Functional enrichment and pathway analyses were conducted, followed by drug sensitivity profiling to explore potential therapeutic implications. Results: The five-gene signature was significantly associated with worse survival outcomes and increased immune cell infiltration. Functional analyses revealed involvement in key immune pathways, including antigen presentation, cytokine signaling, and immune cell activation. Single-cell RNA sequencing demonstrated high expression of the signature in tumor-associated macrophages, particularly immune-suppressive and proliferation-associated subtypes. The high expression in proliferation TAMs suggests a role in promoting tumor angiogenesis and growth. Drug sensitivity analysis revealed distinct vulnerabilities between high- and low-risk groups based on signature expression. Conclusions: This Macrophage-Associated Prognostic Signature (MAPS) provides new insights into glioblastoma immunobiology and identifies potential biomarkers and therapeutic targets. It may serve as a valuable tool to guide personalized immunotherapy-based strategies for glioblastoma patients.