qMIDS (quantitative Malignancy Index Diagnostic System) is a molecular diagnostic platform that transforms how we detect and manage oral cancer. Developed through rigorous translational research and validated across diverse populations, qMIDS delivers rapid (under 90 min), objective, and non-invasive assessment of malignancy risk—empowering clinicians with actionable insights.
Early, Accurate Detection: detects malignant molecular signals with high sensitivity and specificity — before visible signs emerge.
Non-Invasive and minimally invasive Sampling: Uses either a simple brush biopsy or microbiopsy (1mm), eliminating the need for scalpel biopsies in many cases.
Enables repeat sampling: with minimal harm. Essential for disease surveillence and early detection of cancer transformation.
Quantitative Risk Scoring: Outputs a Malignancy Index (MI) based gene molecular signature, enabling stratified clinical decision-making.
Validated Across Populations: Proven performance in multi-center studies across Europe and Asia, supporting global scalability.
Workflow-Ready: Compatible with standard qPCR platforms and adaptable to centralized or decentralized lab settings.
qMIDS is engineered with accessibility and sustainability at its core:
Affordable and Scalable: Low-cost reagents and minimal infrastructure requirements make it ideal for both high-resource and underserved settings.
Rapid Turnaround: Results in under 90 min, enabling same-day triage and referral.
Supports Task-Shifting: Enables broader screening by trained non-specialists in community or primary care settings.
Muy-Teck Teh pursued his Biomedical Science degree (B.Sc. Hons, 1996) followed by PhD in Physiology (2000) at King’s College London. Following two postdoctoral training positions funded by Wellcome Trust and Cancer Research UK, he is currently a Professor of Molecular Oral Oncology at the Barts & the London School of Medicine & Dentistry, Queen Mary University of London, leading a transnational research group investigating cancer biomarker discovery, molecular diagnostics and prognostics. He is also a steering committee member of the Barts Centre for Squamous Cancer and previously held honorary Professorship positions at two Chinese University (Guangzhou Medical University and Guizhou Medical University).
Professor Teh has authored 70 peer-reviewed papers (5,700+ citations, h-index 38) in top journals like Nature Genetics and Molecular Cancer. His research bridges transcriptome pattern recognition and disease biomarker discovery. His seminal work on FOXM1 earned the Molecule of the Year award (2010). He invented the qMIDS platform (2020), the first FOXM1-based molecular diagnostic test for early head and neck cancer detection, validated the 2nd generation qMIDSV2 in a 535-patient multicohort study across the UK, China, and India. He is now developing qMIDSV3, a non-invasive oral brush biopsy test, and an EBV-independent test (qMIDSNPC) for nasopharyngeal cancer risk stratification.
Prof Teh identified and delineated the mechanism of a key driver oncogene FOXM1 in human cancer1-11 which subsequently led to the Molecule of the Year 2010 Award12. He later pioneered the world first FOXM1-based digital molecular cancer test - "quantitative malignancy diagnostic system (qMIDS)" for early detection oral cancer risk21. The qMIDS test has been validated on several hundreds of oral cancer patients from UK, Norway, China and India with highly accurate results (>90%) compared to conventional histopathology13,14,21. The qMIDS test requires only a tiny 1 mm (a grain of rice) tissue biopsy and test results could be obtained within 90 mins by measuring 16 genes to produce a malignancy index via an algorithm13. The qMIDS test may potentially revolutionise oral cancer diagnosis in the future by providing a cost-effective, fully automated, high-throughput, rapid, quantitative, digital diagnostic system for managing ever increasing population of patients with oral lesions.
Lay articles of Prof Teh's qMIDS research:
Animated video summary [YouTube] [Chinese subtitled version 中文字幕版]
Executive research summary on Scientia (21 Oct 2020): [webpage] [PDF]
Profile article on Open Access Government (13 Nov 2020): [webpage]
A brief overview of Prof Teh's other research areas:
Identification of exosome biomarkers for developing non-invasive salivary or blood-based diagnostic tests15.
New molecular signatures for a clinically distinct UK cohort of oral cancer patients that may be predisposed to therapeutic resistance16.
Using a 3D culture and xenograft tumour models - FOXM1 was found to promote aberrant differentiation in squamous differentiation17.
Using in vitro and in vivo mouse models, RASSF1A was found to be regulated via a YAP pathway in nasopharyngeal carcinoma cells19.
Using a zebrafish model identified a genetic locus (Slit3) regulates nicotine addiction in human20 could lead to new ways to prevent or treat tobacco addiction thereby eliminating a key risk factor for many cancers including oral cancer.
Role and mechanism of vimentin in cancer metastasis22,23,24.
Receptors for SARS-CoV-2 entry in oral mucosa and OSCC25.
Mouthwashes on salivary SARS-CoV-2 viral load randomised controlled pilot study26.
Identification of two multidrug chemoresistant genes and repurposing two drugs for re-sensitising resistant HNSCC cells to cisplatin27.
Identification of a distinct oral cancer stem cell subpopulations30.
All cellular processes are tightly regulated by a complex network of interacting biomolecules. Given that mRNA transcription precedes protein translation, change in gene expression levels often precedes visible pathological manifestation. Hence, transcriptome instability in the form of gene expression alterations serves as key signals for subsequent disease initiation and manifestation. Prof Teh hypothesised that if we could recognise and measure cancer-associated transcriptome instability, this could enable better understanding of cancer initiation and smarter way to predict cancer risk13,14 in otherwise asymptomatic patients7-9.
Multidrug resistance renders chemotherapeutic treatment failure in large proportion of head and neck squamous cell carcinoma (HNSCC) patients requiring multimodal therapy involving chemotherapy in conjunction with surgery and/or radiotherapy. Molecular events conferring chemoresistance remain unclear. This project investigates a number of chemical, biological and physical strategies for targeting molecular vulnerabilities of chemoresistant cancer cells whilst sparing non-cancer cells. A large panel of chemical library consisting of synthetic and natural compounds will be screened using human cell culture models. We aim to identify the most potent multimodal anticancer therapy with the least toxicity to prevent or reverse chemoresistance in HNSCC patients.