NBDC Research ID: hum0270.v1
SUMMARY
Aims: To identify prognosis-related genomic alterations in pediatric Osteosarcoma patients using NGS technique.
Methods: By using a comprehensive cancer panel which amplifies coding exons of cancer-related 409 genes, candidate mutations occurred in OS were surveyed.
Participants/Materials: Pediatric Osteosarcoma: 16 patients
Dataset ID | Type of Data | Criteria | Release Date |
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JGAS000282 | NGS (Target Capture) | Controlled-access (Type I) | 2022/05/19 |
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MOLECULAR DATA
Participants/Materials | Pediatric Osteosarcoma (ICD10: C41.9): 16 cases |
Targets | Target Capture |
Target Loci for Capture Methods | 409 genes (Ion Ampliseq Comprehensive Cancer Panel) |
Platform | Thermo Fisher Scientific [Ion Torrent Proton] |
Library Source | DNAs extracted from tumor tissues and non-tumor tissues (or peripheral blood cells) |
Cell Lines | - |
Library Construction (kit name) | Ion AmpliSeq™ Library Kit 2.0 |
Fragmentation Methods | - |
Spot Type | Single-end |
Read Length (without Barcodes, Adaptors, Primers, and Linkers) | 155 bp on average |
Japanese Genotype-phenotype Archive Dataset ID | JGAD000388 |
Total Data Volume | 131.3 GB(fastq) |
Comments (Policies) | NBDC policy |
DATA PROVIDER
Principal Investigator: Tsukasa Yonemoto
Affiliation: Division of Orthopedic Surgery, Chiba Cancer Center
Project / Group Name: -
Funds / Grants (Research Project Number):
Name | Title | Project Number |
---|---|---|
KAKENHI Grant-in-Aid for Young Scientists (B) | Molecular profiling to predict chemosensitivity for osteosarcoma | 23791673 |
KAKENHI Grant-in-Aid for Scientific Research (C) | Analysis of factors determining chemosensitivity and pulmonary metastasis in patients with osteosarcoma by genomic expression analysis | 19591742 |
Grants-in-Aid by the Ministry of Health, Labor and Welfare of Japan for the Third Term Comprehensive 10-year Strategy for Cancer Control | Genomic and gene expression profiling of pediatric solid tumors |
PUBLICATIONS
Title | DOI | Dataset ID | |
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1 | CDK4 overexpression is a predictive biomarker for resistance to conventional chemotherapy in patients with osteosarcoma | doi: 10.3892/or.2021.8086 | JGAD000388 |
2 |
USRES (Controlled-access Data)
Principal Investigator | Affiliation | Country/Region | Research Title | Data in Use (Dataset ID) | Period of Data Use |
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