Scientists from the German Cancer Research Center (DKFZ) and ShanghaiTech University have developed an innovative method for growing brain tumors of individual patients in the laboratory that mimic the original structure and the molecular property of the parental tumor as closely as possible. Drug tests in this model were found to correlate very well with actual patient responses, making it a valuable method for investigating therapies.

A personalized vaccine to treat glioblastoma, a fast-growing and incurable brain cancer that affects four in 100,000 people in the U.S., is safe and elicits robust and broad immune responses that appears to increase recurrence-free survival in a subset of patients after surgery, according to an early-stage clinical trial co-led by researchers at Washington University School of Medicine in St. Louis.

UC San Diego is conducting multiple clinical trials in 2026 targeting glioblastoma and related brain cancers, enrolling eligible patients aged 18 and older. The first phase I/II trial investigates selinexor, a selective inhibitor of nuclear export (SINE) that blocks the CRM1 protein to impede cancer cell growth, administered alongside standard temozolomide chemotherapy in recurrent glioblastoma patients. A second phase I trial tests triapine, which inhibits enzymes necessary for tumor cell growth, combined with radiation therapy for recurrent glioblastoma and astrocytoma. The third multicenter study evaluates DB107-RRV and DB107-FC (formerly Toca 511 and Toca FC) following surgical resection in newly diagnosed high-grade glioma patients, comparing outcomes to historical control data when added to standard care including radiation and temozolomide using the Stupp Protocol. These trials matter because glioblastoma remains a devastating diagnosis with limited treatment options; combination approaches targeting different molecular pathways may improve survival and progression-free survival rates for both newly diagnosed and recurrent cases.

# Professional Summary Researchers at Tufts Medicine have developed a personalized therapeutic approach for treating a deadly form of brain cancer that demonstrates remarkable efficacy. The novel treatment strategy has been shown to increase median life expectancy by 40 percent compared to standard care protocols. This breakthrough represents a significant advancement in oncology, particularly for patients with limited treatment options facing aggressive brain tumors. The personalized therapy approach tailors treatment based on individual patient characteristics and tumor profiles, allowing for more targeted and effective intervention. This development underscores the growing importance of precision medicine in cancer care, where customized treatment plans based on specific molecular and genetic markers yield superior outcomes. The findings from Tufts Medicine suggest that personalized therapeutic strategies may substantially improve survival rates and quality of life for brain cancer patients. This advancement offers hope to patients diagnosed with this previously intractable malignancy and may influence future treatment protocols across oncology centers.

UCSF is conducting multiple clinical trials for glioblastoma, a aggressive brain cancer, offering patients novel immunotherapy approaches. The first trial evaluates E-SYNC CAR T-cell therapy, which genetically modifies a patient's immune cells to target EGFRvIII-positive glioblastoma tumors. Patients receive lymphodepleting chemotherapy with cyclophosphamide and fludarabine before CAR T infusion to enhance treatment efficacy. A second multicenter study investigates DB107-RRV and DB107-FC (formerly Toca 511 and Toca FC), oncolytic viral therapies combined with standard care including surgical resection, radiation, and temozolomide in newly diagnosed high-grade glioma patients. The third trial examines DOC1021 dendritic cell immunotherapy combined with pIFN alongside standard treatment to improve survival in newly diagnosed IDH-wildtype glioblastoma patients. These trials represent significant advancement in immunotherapy approaches for treating otherwise difficult-to-manage brain cancers, offering eligible adults aged 18 and above access to cutting-edge therapeutic options that may substantially improve outcomes beyond conventional treatments.

Researchers at MIT's Media Lab have developed injectable nanoantennas called HITMAN (highly localized electric-field-induced tumor therapy using magnetically actuated nanoantennas) to treat glioblastoma, an aggressive brain cancer with median survival of 12–15 months. These nanodevices, each about one-hundredth the width of a human hair, are magnetically activated to generate localized therapeutic electric fields that selectively target and kill cancer cells while preserving healthy brain tissue. In laboratory studies using tumor cells from chemotherapy-resistant glioblastoma patients at Mayo Clinic, HITMAN eliminated 52.2 percent of drug-resistant cancer cells—more than five times the effectiveness of standard chemotherapy drug temozolomide. When tested in orthotopic mouse models, the technology substantially inhibited tumor growth and extended median survival by over 50 percent without detectable organ toxicity or damage to healthy tissue. The nanoantennas can be wirelessly activated from outside the body using low-frequency magnetic fields. Published in Science Advances, these findings suggest HITMAN could offer a precise, safe alternative to conventional brain cancer treatments.

CAR-T cell therapy has transformed the treatment of several haematological malignancies, but its impact in solid tumours has remained frustratingly limited. Now, a new generation of in vivo CAR-T cell technologies promises to remove some of the biggest practical barriers associated with conventional cell therapy.

The tumor mechanical microenvironment (TMME) significantly influences cancer initiation, progression, metastasis, and treatment response through physical cues including matrix stiffness, solid stress, interstitial fluid flow, and extracellular matrix architecture. Traditional in vitro and in vivo models inadequately capture the dynamic, heterogeneous mechanical characteristics of native tumors. This comprehensive review examines advances in modeling the TMME using tumor organoids, particularly patient-derived tumor organoids (PDOs), which maintain tumor architecture, cellular heterogeneity, and genetic background while enabling precise experimental control and high-throughput analysis. The authors discuss major mechanical features of the tumor microenvironment and strategies for recreating these features in organoid models, including stiffness-defined matrices, engineered extracellular matrices, microfluidic platforms, mechanical actuation systems, multicellular co-culture approaches, and three-dimensional bioprinting techniques. The review emphasizes applications in mechanistic studies, disease modeling, and drug testing, highlighting how organoid-based platforms represent physiologically relevant alternatives for understanding tumor mechanics and improving therapeutic strategies.

Triple-negative breast cancer (TNBC), representing 15-20% of breast cancer cases, lacks expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2), rendering conventional targeted therapies ineffective and resulting in poorer clinical outcomes. A critical challenge in TNBC treatment is chemoresistance development through mechanisms including drug efflux transporter upregulation, altered apoptotic pathways, enhanced DNA repair, and epithelial-mesenchymal transition, compounded by tumor microenvironment factors such as hypoxia and acidic pH. Conventional chemotherapy's non-specific drug distribution causes systemic toxicity while failing to accumulate in chemoresistant tumor niches. To overcome these limitations, researchers are advancing stimuli-responsive nanocarriers that enable selective, controlled drug delivery triggered by tumor-specific stimuli including pH, enzymes, temperature, and redox conditions. These nanofabricated carriers enhance drug bioavailability, facilitate intracellular delivery, overcome efflux mechanisms, and modulate the tumor microenvironment. Nanofabrication techniques enable precise control over nanocarrier size, shape, surface characteristics, and drug release profiles, optimizing therapeutic outcomes and addressing key mechanisms underlying TNBC chemoresistance.

Recent research demonstrates significant advancement in natural killer (NK) cell-based immunotherapies across multiple cancer types. A phase II trial combined sequential hypofractionated radiotherapy with atezolizumab for relapsed small cell lung cancer, using objective response rate as the primary measure. NK cell therapies have shown particular promise in hepatocellular carcinoma, where radiation-induced tumor-cell phenotypic changes were evaluated to support primary NK cell therapy combined with atezolizumab. Innovative approaches include engineering NK cells with multivalent galectin-3 binding polymers to mechanically reinforce immunological synapses with target tumor cells, enhancing their cytotoxic capacity. Research has identified compounds that modulate NK cell activity for pancreatic cancer treatment, addressing this highly aggressive malignancy's limited therapeutic options. Additional studies characterize NK cell dysfunction in aging, revealing declining per-cell cytotoxicity with age. Genetic factors including killer-cell immunoglobulin-like receptors and HLA class I molecules regulate antiviral and antitumor responses, particularly relevant in Epstein-Barr virus-associated nasopharyngeal carcinoma. These developments address critical gaps in cancer immunotherapy by leveraging NK cells' natural cytotoxic capabilities to overcome immune evasion and metastatic disease progression.

Glioblastoma multiforme remains one of the most lethal brain cancers, with dismal survival rates despite surgery, radiotherapy, and temozolomide chemotherapy. The primary challenge involves the blood-brain barrier and dense extracellular matrix, which prevent cytotoxic drugs from penetrating tumor cores. Researchers developed innovative ferritin nanomotors to overcome these barriers through a biomimetic nanotechnology platform combining self-propelling catalytic engines with active tumor infiltration capabilities. The nanomotors utilize heavy-chain ferritin nanocages loaded with catalytic cerium oxide cores, architecture that enables receptor-mediated transcytosis across brain capillaries and deep parenchymal infiltration into previously inaccessible tumor niches. Unlike conventional passive chemotherapy dependent on diffusion, these autonomous nanomotors navigate toward biochemical signatures within the tumor microenvironment, transforming ineffective molecular diffusion into targeted, force-driven therapeutic distribution. Since ferritin is a naturally occurring, biocompatible iron-storage protein found in human physiology, the platform exhibits negligible systemic toxicity. This innovative approach addresses critical treatment failures caused by drug accumulation only at tumor margins while invasive cells escape, ultimately triggering fatal recurrence.

Esophageal carcinoma remains a highly lethal malignancy with five-year survival rates of only 15-25% in advanced stages, despite advances in immunotherapy including immune checkpoint inhibitors and antibody-based therapies. This comprehensive review by researchers from Jilin University and Yale University addresses the critical challenge of immunotherapy resistance, which affects the majority of patients. The study demonstrates that the tumor microenvironment—comprising immune cells, stromal cells, and extracellular matrix—drives immune resistance through suppressive networks that impair cytotoxic immunity and enable tumor progression. The researchers dissect the cellular and molecular mechanisms underlying TME-driven immune resistance in esophageal carcinoma and evaluate multiple therapeutic strategies to overcome treatment failure. These approaches include TME-targeted therapy, metabolic modulation, photodynamic therapy, and mechanism-guided combination approaches. By reframing immunotherapy resistance as a tumor microenvironment-driven process rather than purely tumor-intrinsic, the work emphasizes the necessity of simultaneously targeting malignant cells and their immunosuppressive niche. Understanding TME heterogeneity and its dynamic evolution is essential for converting resistant esophageal carcinoma into an immunotherapy-responsive disease and enabling precision-guided combination strategies.

Despite transforming oncology, immune checkpoint inhibitors, adoptive cell therapies, and cancer vaccines remain limited by immune exclusion—the failure of effector immune cells to penetrate or function effectively within the tumor microenvironment (TME). This exclusion stems from dense extracellular matrices, immunosuppressive cells including regulatory T cells and tumor-associated macrophages, and inhibitory signaling molecules such as PD-L1, TGF-β, and adenosine. A new Research Topic aims to integrate fundamental, translational, and clinical research to overcome these barriers and reprogram the TME. The initiative encourages studies exploring novel approaches including targeted protein degradation via PROTACs and molecular glues, ubiquitination modulation, and deubiquitinase inhibitors, alongside combination strategies with checkpoint inhibitors, CAR-T, and NK-cell therapies. Additional focus areas include chemotherapy and radiotherapy combinations, biomarker discovery, and clinical translation of TME-targeted interventions. By fostering cross-disciplinary collaboration, this Research Topic seeks to accelerate bench-to-bedside translation of TME-modulating immunotherapies, potentially expanding immunotherapy benefits to broader patient populations across diverse tumor types.

Glioblastoma, the most aggressive form of brain cancer, remains exceptionally difficult to treat despite standard interventions including surgery, radiotherapy, and temozolomide chemotherapy, with recurrence presenting a major clinical challenge. A recently published real-world study examined 173 glioblastoma patients treated with personalized neoantigen-derived peptide vaccines, representing a significant advance in individualized cancer immunotherapy. The personalized peptides analyzed in this research were synthesized by Intavis Peptide Services GmbH in Tuebingen, Germany. This innovation exemplifies the shift toward tumor-specific treatment strategies that account for the molecular heterogeneity inherent in glioblastoma. Accompanying the scientific publication, a patient testimonial from CeCaVa provides compelling evidence of the potential impact, with one patient, Rebecca, describing extended survival beyond her initial devastating prognosis. While her case cannot be generalized to all patients, it underscores the critical importance of developing and providing access to personalized therapeutic approaches that leverage each tumor's unique molecular profile, offering hope for improved outcomes in this otherwise incurable disease.

Neoantigen-based cancer immunotherapies, including vaccines, adoptive cell therapies, and immune checkpoint inhibitors, represent a transformative approach to personalized cancer treatment by targeting tumor-specific mutations while sparing healthy tissues. Current identification methods such as next-generation sequencing and immunopeptidomics have advanced neoantigen discovery, yet significant challenges remain. Epitope prediction accuracy remains suboptimal, requiring refined computational workflows, while experimental validation is resource-intensive and time-consuming. Emerging technologies like T-Scan offer potential for scaling T cell assessment processes, but more efficient TCR mapping, high-throughput platforms, and enhanced algorithms are essential. Financial and temporal constraints pose additional barriers to widespread implementation of personalized therapies. Developing off-the-shelf treatments targeting public neoantigens—common mutations across tumor types—presents a promising solution to reduce costs and timelines, though effectively targeting shared neoantigens remains scientifically challenging. Future research should prioritize developing public neoantigen-based vaccines, bispecific antibodies, and TCR-based therapies. Combination approaches, particularly pairing neoantigen vaccines with immune checkpoint inhibitors alongside chemotherapy or radiation, demonstrate enhanced efficacy and represent the most promising path forward for advancing precision cancer immunotherapy.

# Summary Researchers at the University of Florida have reported encouraging preliminary results from the first human trial of an RNA-based vaccine designed to treat glioblastoma, an aggressive form of brain cancer. The personalized medicine approach, developed through the iOncologi platform, represents a novel application of RNA technology to immuno-oncology. Rather than preventing disease, this vaccine is administered therapeutically to stimulate the immune system to recognize and attack cancer cells specific to individual patients. The trial demonstrates the feasibility of tailoring RNA vaccines to target tumor-specific mutations, offering a promising avenue for improving glioblastoma treatment outcomes. These findings are significant as glioblastoma remains one of the most challenging cancers to treat, with limited therapeutic options. The success of this approach could potentially extend RNA vaccine applications beyond infectious diseases into personalized cancer therapy, potentially transforming treatment paradigms for difficult-to-treat malignancies and opening pathways for similar immunotherapy strategies across other cancer types.

CAR T-cell therapy shows promise for hematologic malignancies but faces significant challenges in solid tumors, particularly glioblastoma, due to tumor heterogeneity, immunosuppression, and antigen loss. A 2026 Cell study analyzed 18 patients from a phase 1 trial receiving intracerebroventricular EGFR/IL13Rα2-targeted CAR T cells, employing single-cell RNA sequencing to profile cerebrospinal fluid, infusion products, and tumor tissues. The research revealed that clinical outcomes depended not only on CAR T-cell activity but also on host immune remodeling. CD8 CAR T cells demonstrated robust activation with upregulation of cytotoxicity genes including GZMB, GNLY, and PRF1, peaking around day 7 before showing exhaustion markers by day 21. Critically, expansion of endogenous cytotoxic NK cells correlated with favorable outcomes, while regulatory T-cell and suppressive myeloid expansion associated with poorer responses. Notably, CAR T infusion product characteristics alone did not distinguish responders from non-responders. These findings underscore that treatment success involves complex host immune remodeling beyond the engineered T cells themselves, offering important insights for optimizing CAR T-cell therapy in challenging solid tumor settings.

Researchers have identified a critical mechanism by which endocrine-resistant hormone receptor-positive (HR+) breast cancer cells evade immune surveillance through lipid metabolic reprogramming. The study, published in Frontiers in Immunology, reveals that cancer cells undergoing endocrine resistance simultaneously reprogram their lipid metabolism to suppress anti-tumor immune responses. This metabolic shift causes defects in antigen presentation, the process by which cancer cells display tumor antigens to immune cells, and induces T-cell dysfunction, impairing the ability of immune cells to recognize and eliminate cancer cells. By understanding this dual mechanism of therapeutic resistance and immune evasion, the findings offer important insights into why HR+ breast cancers often develop resistance to hormonal therapies. This discovery has significant implications for developing combination therapeutic strategies that target both endocrine resistance and lipid-driven immune evasion, potentially improving outcomes for patients with advanced HR+ breast cancer who no longer respond to standard hormone-based treatments.

Researchers have developed an innovative photothermal immunotherapy strategy to enhance cancer treatment by precisely controlling tumor temperature during hyperthermia treatment. The study addresses a critical gap in understanding the thermal parameters needed for optimal immune activation in tumor microenvironments. The team created ACF@QD, a photothermal immuno-nanomedicine combining multiple functional components: AF7P for tumor cell targeting, FS-mPEG as a photothermal agent, AgAuSe quantum dots for real-time temperature monitoring via near-infrared-II imaging, and CpG oligonucleotides to enhance macrophage and dendritic cell function. Using spatiotemporally encoded laser irradiation guided by NIR-II fluorescence feedback, researchers achieved precise in vivo temperature regulation and demonstrated that 46°C represents the optimal temperature threshold for synergistically activating immunogenic cell death and immune cell recruitment in breast cancer models. This breakthrough establishes evidence-based thermal parameters for hyperthermia-based immunotherapy and provides a versatile platform for investigating temperature-dependent immune mechanisms in cancer treatment.

This comprehensive review examines nanomedicine strategies designed to remodel the hostile tumor microenvironment and improve therapeutic efficacy. Rather than targeting malignant cells alone, the authors address stromal fibroblasts, extracellular matrix components, abnormal vasculature, hypoxia, and immunosuppressive populations that collectively impede drug delivery and treatment response. The analysis focuses on three interconnected approaches: stromal remodeling using cancer-associated fibroblast-directed and matrix-responsive carriers to enhance perfusion, hypoxia control through oxygen-generating and hypoxia-activated systems alongside Type I photochemical strategies, and photodynamic immune activation via immune-active nanocarriers including STING agonists and mRNA vaccines. The authors emphasize that selective fibroblast reprogramming is preferable to depletion, which can worsen outcomes, and highlight pancreatic ductal adenocarcinoma as a key desmoplastic disease model while comparing it with glioblastoma and other tumors with distinct microenvironments. The review identifies translational barriers including variable tumor delivery, protein corona formation, and manufacturing complexity, advocating for biomarker-guided, mechanism-matched platforms with measurable microenvironmental endpoints rather than increasingly complex carrier designs as the realistic path forward.