Oncology Research Sequencing Solution

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

Human microbiome analysis

Cancer Genomics

Whole genome sequencing, whole exome sequencing, targeted sequencing, and circulating tumor DNA sequencing are used to capture genomic changes in tumor tissue, allowing to understand oncogenes, tumor suppressor genes, and other genetic factors that have an impact on cancer progression.

Human microbiome analysis

Cancer RNA Expression

Monitoring changes in gene expression can be used to diagnose and characterize tumors. Related sequencing technologies include RNA-seq, small RNA sequencing, lncRNA sequencing, circRNA sequencing, targeted RNA sequencing, exosomal RNA sequencing, degradome sequencing, etc.

Infectious disease research

Cancer Epigenomics

Cancer epigenomics is used to explore methylation abnormalities and transcription factor binding in tumor. Related technologies include whole-genome bisulfite sequencing, targeted bisulfite sequencing, MeDIP sequencing, reduced representative bisulfite sequencing, ChIP-seq, ATAC-seq, NGS-BSP, etc.

Infectious disease research

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.
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! For research purposes only, not intended for personal diagnosis, clinical testing, or health assessment.
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