- DNA-based genetic testing on market are powerful tool for tumor mutation detection, but there still have some challenges in terms of fusion/rearrangement detection. This requires fusion detection at the RNA level if more accurate and efficient approach can be achieved, particularly with small amount of sample.
- K-Cell omics analysis refers to the application of WES (Whole Exome Sequencing), RNA-seq on small amount of sample with as few as thousands of cells to obtain information related to clinical medication.
- LIWEN’s K-Cell technology has great clinical application value in molecular typing, genetic risk assessment, targeted therapy/chemotherapy/immunotherapy efficacy prediction, and prognosis assessment, etc., and provides precise treatment guidance for individual cancer patients.
The Advantages and Applications of K-Cell Technology
- Only a small amount of sample is required: It effectively solves the problem of insufficient amount of tissue samples for routine testing, and the problem of too few circulating tumor nucleic acids in blood testing.
- Visual representation of cell functional subpopulations: The functional classification of cell subpopulations using a systematic biology approach can distinguish the gene expression of cell functional units associated with tumor cells, normal cells, immune system, and vascular system, as well as interferon-stimulated genes, etc.
- Functional analysis at the transcriptome level: FGI analysis can perform functional typing from the transcriptome level and predict drug sensitivity，which would make up for the shortcomings of drug sensitivity testing at the DNA level and achieve more comprehensive results.
- Provide comprehensive clinical medication information: It covers all marketed targeted drugs and immune drugs that had been approved by NMPA and FDA, and ongoing clinical trials of chemotherapy drugs, targeted drugs or immune drugs at home and abroad, giving more choice for clinical treatment.
- Research on drug resistance mechanisms: Understanding the mechanisms of drug resistance would assist physicians to formulate medication regimens.
- In the field of Precision Medicine, more and more researches are moving forward to functional genomics. LIWEN’s FGI (Functional Genomic Imaging), based on RNA-seq data of individual tumor sample, provide functional genomic analysis and counseling service, to explore and support personalized medicine in the gene signature level.
- FGI model evaluates gene signatures of tumor cells, tumor microenvironments in units of cell types and gene function clusters (subpopulations), and when providing individual tumor bulk RNA-seq data, FGI model would display the variation in gene expression profiling of these subpopulations.