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Aims: Investigating a genomic-level intratumor heterogeneity in colorectal carcinoma
Methods: DNA were extracted from multiregional tumor samples and performed a whole exome sequencing analysis
Targets: Samples which obtained during surgery from patients who underwent radical resection of primary and/or liver metastatic tumors
Dataset ID | Access type | Type of data | Release date | |
|---|---|---|---|---|
| JGAD000060 | Controlled-access (Type I) | NGS (Exome) | 2020-09-28 | |
Name | URL |
|---|---|
| No data | |
Name | Title | Project number |
|---|---|---|
| Funding Program for Next Generation World-Leading Researchers (NEXT Program) | Investigating mechanism of tumor recurrence and metastasis by non-coding RNA |
|
| KAKENHI Grant-in-Aid for Scientific Research on Innovative Areas | Systems Cancer Research |
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| Strategic Programs for Innovative Research (SPIRE) Field 1 | Supercomputational Life Science |
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| ||
Title | DOI | Datasets |
|---|---|---|
| Integrated Multiregional Analysis Proposing a New Model of Colorectal Cancer Evolution. | https://doi.org/10.1371/journal.pgen.1005778 | |
Name | Organiation | Country | Research title | Period of data use | Datasets |
|---|---|---|---|---|---|
| Curtis Christina | Stanford University | USA | Analysis of multi-region sequencing data to delineate patterns of tumor heterogeneity | 2016-08-05—2023-07-13 | |
| Shiraishi Kouya | National Cancer Center Research Institute | Japan | Elucidation of immune-system networks between host and tumor based on genomic analysis | 2019-08-05—2029-03-31 | |
| Sun Ruping | University of Minnesota | USA | Accounting for Copy Number States in Quantifying Tumor Heterogeneity | 2020-03-19—2023-01-16 | |