New Strategies for Cancer Research
Cancer is the second most deadly disease in humans, with approximately 13% of patients worldwide dying of cancer each year. The basic goal of cancer research is to elucidate the mechanisms of cancer development and to develop appropriate diagnostic, therapeutic, and preventive strategies. Our high-throughput sequencing technology and functional genomics provide important, valuable genomic data related to cancer to find potential drug targets and develop more individualized treatment.
Benefits of Tumor Genomics
Tumor genomics provides an important basis for tumor molecular typing and individualized treatment. Tumor genomics research can not only provide a theoretical basis for the occurrence of tumors, but also provide clues for the diagnosis and prevention of malignant tumors. Multiple genetic mutations have been identified using cancer genomics, and their correlation with clinical phenotype can be deduced. In particular, cancer-related mutations that occur at an early stage will have a significant impact on clinical diagnosis. Genomics-based methods have been widely used in cancer research, diagnosis, and personalized medicine.
Genomics Solutions in the Oncology Research Field
- Cancer Risk Assessment - Genome-wide association studies (GWAS) have made great progress in the study of malignant tumor factors. Genetic markers are able to reflect individual genetic information accurately and reliably, thus increasing the effectiveness of cancer risk assessment, which is the key to cancer prevention. Along with the rapid advancement of genomic techniques such as whole exome sequencing and SNP genotyping, high-throughput identification of cancer-related genetic markers found by GWAS can improve the efficacy and availability of tumor risk assessment.
- Identification of Known Cancer Biomarkers - The use of next generation sequencing (NGS) accelerates the identification of cancer biomarkers. Cancer biomarkers are helpful to the detection and classification of cancer, as well as the prediction of therapeutic response, the effect of treatment and prognosis. Genome or transcriptomic sequencing of tumor tissues and normal tissues are performed by sequencing facilities, and the differences between the two are compared to identify cancer biomarkers in order to improve the diagnosis and treatment of cancer.
- Drug Development and Individualized Treatment - The researchers used human gene expression profiles for drug development and drug sensitivity and drug resistance analysis. Increasing evidence supports the idea that each patient's cancer may have a complement of pathogenic molecular derangements. Large-scale analysis of gene expression in cancer patients by genomics techniques to obtain specific disease-causing molecules for each patient, and based on this, unique drug development is carried out to facilitate the development of personalized treatment of tumors. In addition, significant benefits can be obtained by identifying and analyzing the contribution of single nucleotide polymorphisms (SNP) to individual drug responses.
Oncology Genomics Methods
Single-cell Sequencing
Single cell sequencing allows us to obtain whole genomes at the single cell level. The development of single-cell sequencing technology provides a new way to understand the tumor more deeply, and it is expected to find a more effective method for the diagnosis and treatment of tumors.
For Research Use Only. Not for use in diagnostic procedures.
Sample Submission Guidelines
