All Precision Medicine articles
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ArticleWhy depression needs a different drug discovery strategy
What if depression is not one disease, but many biologically distinct conditions? A major research programme is investigating what this could mean for biomarkers, drug targets and treatment.
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NewsPatient-derived tumour organoid biobank maps cancer gene dependencies
A biobank of 256 patient-derived tumour organoids, combined with genome-wide CRISPR–Cas9 screening, has produced a detailed map of cancer gene dependencies across five tumour types, revealing both shared vulnerabilities and mutation-specific targets with implications for precision oncology.
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NewsNew LOX target discovery could help overcome chemotherapy-resistant breast cancer
A preclinical study has identified lysyl oxidase as an intracellular survival factor in triple-negative breast cancer, with researchers demonstrating that sequentially blocking LOX and a compensatory ferroptosis defence pathway significantly suppresses tumour growth without chemotherapy.
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NewsReview challenges one-size-fits-all approach to OSCC drug delivery
A new review published in the European Journal of Pharmaceutics and Biopharmaceutics argues that no single local drug-delivery formulation will suit every oral squamous cell carcinoma tumour, urging researchers to anchor development in clinical and biological context from the outset.
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ReportBuilding biomarkers that drug developers can rely on
Discover how integrated technologies, multiomic approaches and AI are helping researchers translate complex biological signals into actionable tools for drug development and patient care.
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ArticleHow rare genetic variants could uncover new drug targets
What if extreme levels of common traits have a different genetic basis? New research suggests rare, large-effect variants could help explain the extremes and identify potential drug targets.
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ArticleHow AI-driven systems biology will reset the starting line for drug development
AI is making drug discovery faster, but can it make it more successful? Discover why combining AI with systems biology could help researchers tackle the biological complexity behind drug failure.
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Article600+ patient-derived cancer models expand the search for drug targets
Hundreds of new patient-derived cancer models could strengthen target validation, identify cancer vulnerabilities and provide more representative systems for preclinical drug discovery.
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NewsIL-17 identified as potential immunotherapy biomarker in ovarian cancer
A new study has identified IL-17 as a potential biomarker for immunotherapy response in a small subset of clear cell ovarian cancer cases, offering a possible route to personalised treatment for a disease historically resistant to immune-based therapies.
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ArticleWhy researchers are revisiting bisantrene decades after it was abandoned
An oncology drug abandoned decades ago is getting a second look, with new research uncovering a mechanism that could offer an alternative route to targeting MYC, one of cancer’s toughest targets.
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NewsNUS researchers identify molecular switch driving TNBC treatment resistance
Researchers at the National University of Singapore have identified DP103 as a potential molecular master switch sustaining tumour growth, cancer stem cells and treatment resistance in triple-negative breast cancer, with findings suggesting it could serve as a predictive biomarker for the investigational oral therapy RX-5902.
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NewsPatient-specific brain tumour chip models vascular drug barriers
A microfluidic chip combining patient-derived glioblastoma cells with their tumour vascular environment could give drug developers a more realistic preclinical model for predicting treatment response – and may help explain why genetically similar patients respond differently to the same therapy.
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NewsAGR2 and FOXM1 identified as prognostic and therapeutic targets in NF-PanNETs
A new study using single-cell RNA sequencing has identified AGR2 as a potential prognostic marker and FOXM1 as a druggable target in non-functional pancreatic neuroendocrine tumours, offering new tools to stratify patients and guide treatment strategies.
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NewsMulti-target screening refines ADC development for cervical cancer
A large-scale transcriptomic study has pinpointed distinct cell-surface targets for antibody-drug conjugate development across cervical cancer subtypes, revealing how tissue-of-origin comparisons and subpopulation analysis can uncover targets missed by conventional screening approaches.
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ArticleReducing drug development failures with human-relevant models and AI
Professor Joseph C. Wu of Stanford University explains how stem cells, human-relevant models and AI are helping researchers predict which drug candidates are most likely to succeed before clinical trials.
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ArticleWhy inherited retinal disease treatment requires more than gene therapy
Most inherited retinal diseases still have no approved therapy despite advances in gene therapy. This article explores why researchers are targeting shared disease mechanisms alongside individual mutations.
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NewsMitochondrial microprotein discovery reveals new Type 2 diabetes genetic link
A newly identified mitochondrial microprotein, MENTSH, has been linked to increased Type 2 diabetes susceptibility in Mexican and Mexican American populations, pointing towards a potential precision medicine target.
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NewsFullscope-seq maps transcript isoforms with spatial single-cell resolution
Researchers have developed Fullscope-seq, a long-read spatial transcriptomics platform that maps alternative transcript isoforms within intact tissues at single-cell resolution – opening new possibilities for target identification and precision biomarker discovery.
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NewsBlood test for protein misfolding identifies Alzheimer’s risk years before symptoms
A blood-based biomarker measuring amyloid beta protein misfolding has demonstrated superior predictive accuracy for pre-symptomatic Alzheimer’s disease compared with p-tau 217, achieving an AUC of 0.87 when combined with genetic and demographic data.
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NewsLandmark fibromyalgia study highlights neurological targets for new therapies
A landmark genome-wide study of more than 2.5 million adults has identified 26 genomic regions linked to fibromyalgia, confirming a neurological basis for the condition and opening new avenues for targeted drug discovery.