Research & Innovation
Investigating cancer through genomics, computation and translational science.
KPCIRC and its connected scientific ecosystem focus on cancer genomics, molecular evidence, AI-enabled bioinformatics, longitudinal cancer modelling, trial intelligence and biological discovery, always connected back to clinical questions.
Research at KPCIRC is organised around twelve themes. Each is labelled honestly so that areas of interest, proposed directions and investigational workflows are never mistaken for active funded projects or for clinical evidence.
- Stated area of interest Named by KPCIRC as an area of scientific interest. Not a claim of an active funded project.
- Proposed research direction A direction KPCIRC proposes to explore. Not yet an established programme.
- Connected investigational workflow Linked to an OnKommon research-use workflow. Findings are investigational and not clinical evidence.
Twelve research themes
- Theme 01Cancer Genomics & Somatic Variant InterpretationVariant assessment, molecular context and separating potentially relevant alterations from findings of uncertain significance.Stated area of interest
- Theme 02Liquid Biopsy & ctDNACirculating tumour DNA, molecular profiling, longitudinal monitoring and the interpretation limits of plasma-based testing.Stated area of interest
- Theme 03Single-Cell Analysis & Tumour HeterogeneityCellular diversity, subpopulations, spatial or cellular context where data permit, and tumour heterogeneity.Proposed research direction
- Theme 04Transcriptomics & RNA ExpressionRNA sequencing, expression analysis, pathway activity and molecular signatures.Proposed research direction
- Theme 05Proteomics & Multi-Omics IntegrationConnecting genomic, transcriptomic, proteomic and other molecular data to investigate complementary biological signals.Stated area of interest
- Theme 06AI-Enabled BioinformaticsMachine learning, data integration, computational analysis, reproducible pipelines and analytical evaluation.Stated area of interest
- Theme 07Tumour Evolution, Clonality & ResistanceSubclonal structure, tumour evolution, resistance mechanisms, treatment exposure and dynamic molecular changes.Proposed research direction
- Theme 08Biomarker Intelligence & Evidence CurationOrganising evidence for cancer-specific biomarker interpretation, including strength, context, conflicting evidence and uncertainty.Stated area of interest
- Theme 09Immuno-Oncology & Response BiomarkersImmunotherapy-associated biomarkers and their interpretation limits across cancer types and clinical contexts.Proposed research direction
- Theme 10NLP-Enabled Clinical-Trial MatchingTrial extraction, eligibility interpretation, structured trial data, patient-context matching and traceable evidence.Stated area of interest
- Theme 11Digital Twins & In-Silico OncologyLongitudinal cancer models, integrating evolving patient context, and the distinction between computational modelling and established clinical evidence.Stated area of interest
- Theme 12Biological Modelling & Experimental Drug DiscoveryInvestigating candidate therapies using research models, with explicit limitations when translating model observations to human cancer.Connected investigational workflow
Illustrative research case studies
Educational composite scenarios that explain possible workflows. They are not real KPCIRC patients, testimonials or outcomes.
Connected ecosystem
OnKommon TWIN and AVATAR
Several themes connect to OnKommon: TWIN, an evolving longitudinal model of the cancer journey, and AVATAR, an investigational biological-modelling and candidate-screening workflow. Both carry research-use boundaries.
Short explainers, in production
- KPCIRC research themesScript to be developed
- OnKommon and KPCIRCScript to be developed
Publications and scientific outputs
No publications, projects or outputs are listed yet. Only verified, citable outputs will appear here.
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