Implementation of individualized medicine for cancer patients by multiomics-based analyses—the Project HOPE
| Autor: | Sunao Tamai, Kenichi Urakami, Yasuto Akiyama, Tohru Mochizuki, Keiichi Ohshima, Masatoshi Kusuhara, Katsuhiko Uesaka, Takashi Nakajima, Ken Yamaguchi, Mitsuru Takahashi |
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| Rok vydání: | 2014 |
| Předmět: |
Oncology
medicine.medical_specialty business.industry MEDLINE Cancer General Medicine Diathesis medicine.disease Proteomics Omics General Biochemistry Genetics and Molecular Biology Gene expression profiling Cancer Medicine Family medicine Internal medicine medicine Personalized medicine medicine.symptom business |
| Zdroj: | Biomedical Research. 35:407-412 |
| ISSN: | 1880-313X 0388-6107 |
| DOI: | 10.2220/biomedres.35.407 |
| Popis: | The Project HOPE (High-tech Omics-based Patient Evaluation) for cancer medicine aims to evaluate biological characteristics of each cancer tissue as well as diathesis of each patient in around 1,000 consecutive cases per year, who receive operations at the Shizuoka Cancer Center. Cancer tissues are investigated by whole-exome sequencing for 18,835 genes, focusing on 12,776 in-house cancer hotspots from 483 cancer-associated genes. To confirm cancer-specific genetic changes, we analyzed blood cells to collate with data of cancer tissues, and we reevaluate cancer tissues by comprehensive cancer panel for 409 genes. In order to investigate diathesis of the patients, we evaluate 43,015 hotspots associated with non-cancerous diseases. In terms of gene expression profiling, we analyze cancer-specific alterations for 29,833 genes using tumor and adjacent normal tissues. If and when necessary, we investigate tumor and normal tissues by proteomics and metabolomics. The model experiments using glioblastoma cell lines demonstrated that the method is appropriate for clinical application. The Project HOPE makes it possible to implement individualized medicine and to practice preventive and presymptomatic medicine for cancer patients. Furthermore, the project can create important seeds for research and development in cancer medicine. |
| Databáze: | OpenAIRE |
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