Ovarian cancer has long proved difficult to treat. Could the answer lie within the disease itself? Discover how synthetic iMSCs could reprogramme the tumour microenvironment and restore anti-tumour immunity.
Studying individual cells has revolutionised biomedical research, but it doesn’t tell the whole story. Discover how spatial biology is revealing disease mechanisms with implications for biomarkers, immunotherapy and drug development.
Static cultures can miss critical immune–tumour interactions. Learn how the Mera™ flow-based human tissue model better captures T-cell activity to strengthen preclinical immunotherapy research.
Ovarian cancer has long proved difficult to treat. Could the answer lie within the disease itself? Discover how synthetic iMSCs could reprogramme the tumour microenvironment and restore anti-tumour immunity.
Static cultures can miss critical immune–tumour interactions. Learn how the Mera™ flow-based human tissue model better captures T-cell activity to strengthen preclinical immunotherapy research.
In part two of our AACR 2026 coverage, industry leaders were focussed on how the field is no longer constrained by data generation or molecular design, but by the challenge of connecting systems, standardising workflows and ensuring biological insights.
Ovarian cancer has long proved difficult to treat. Could the answer lie within the disease itself? Discover how synthetic iMSCs could reprogramme the tumour microenvironment and restore anti-tumour immunity.
Studying individual cells has revolutionised biomedical research, but it doesn’t tell the whole story. Discover how spatial biology is revealing disease mechanisms with implications for biomarkers, immunotherapy and drug development.
Static cultures can miss critical immune–tumour interactions. Learn how the Mera™ flow-based human tissue model better captures T-cell activity to strengthen preclinical immunotherapy research.
In part two of our AACR 2026 coverage, industry leaders were focussed on how the field is no longer constrained by data generation or molecular design, but by the challenge of connecting systems, standardising workflows and ensuring biological insights.
Despite rapid advances in AI, many drug discovery models still struggle to translate computational predictions into clinical outcomes. Thomas Clozel explains how Owkin is training AI on large-scale patient-derived data while integrating experimental and clinical validation directly into model development.
At AACR 2026, industry leaders discussed how oncology R&D is moving beyond isolated technological advances towards integrated discovery systems.
Research published in Nature Communications shows how generative AI can be used to design complex dual-action cancer drug candidates. Insilico Medicine has developed a PKMYT1 degrader that both eliminates the target protein and blocks its activity, demonstrating the growing role of AI in advanced drug discovery.
Promatix Biosciences is developing a new generation of bispecific antibody–drug conjugates using proprietary membrane proteomics data to identify highly selective target pairings. CEO Dr Michael Hunter explains how the company’s TXPro database enables discovery of previously unexplored tumour biology to improve therapeutic index and reduce on-target/off-tumour toxicities in solid tumours.
A new review examines how advances in drug design, PROTAC degraders and combination therapies are reviving the clinical prospects of BET inhibition in solid tumours, after early-generation compounds were hampered by toxicity, resistance and modest efficacy.
Scientists at MD Anderson Cancer Center have revealed how ATRX mutations restructure chromatin and activate oncogenic developmental pathways in glioma, pointing towards novel therapeutic targets including the HOXA signalling axis.
Scientists at Umeå University have uncovered a previously unknown function for the RNA-modifying protein METTL3, revealing it plays a distinct role in enabling breast cancer cells to invade surrounding tissue and form metastases – findings that could open new avenues for therapeutic targeting.
Scientists at Chiba University have identified a metabolic vulnerability in drug-tolerant cancer cells that survive KRAS-targeted therapy, opening a potential route to combination treatments designed to prevent disease recurrence in lung, pancreatic and colorectal cancers.
Scientists at the Salk Institute have discovered how the investigational HDAC inhibitor entinostat disrupts DNA repair mechanisms in pancreatic cancer cells, potentially enabling more effective combination therapies with reduced toxicity through novel nanoparticle delivery systems.
Preclinical study demonstrates effectiveness of experimental mRNA vaccine against neuroblastoma, reducing tumour size by 70 percent and delaying development. RCSI researchers used peptide nanoparticles targeting GPC2 protein to direct immune response against cancer cells, offering potential new treatment approach for aggressive childhood malignancy.
University of Maryland researchers have discovered that blocking cathepsin B protein prevents CAR T-cells from losing effectiveness, potentially improving long-term outcomes for blood cancer patients. The preclinical findings reveal that engineered immune cells inadvertently weaken themselves by acquiring tumour fragments, a process that can be prevented through targeted protein inhibition.
LabGenius Therapeutics has partnered with LG Chem to develop next-generation multispecific antibodies targeting solid tumours. The collaboration combines AI-driven drug discovery with oncology development expertise to identify therapeutics with improved selectivity and reduced toxicity.