Japanese version of The Cancer Genome Atlas, JCGA, established using fresh frozen tumors obtained from 5143 cancer patients.
Takeshi NagashimaKen YamaguchiKenichi UrakamiYuji ShimodaSumiko OhnamiKeiichi OhshimaTomoe TanabeAkane NaruokaFukumi KamadaMasakuni SerizawaKeiichi HatakeyamaKenya MatsumuraShumpei OhnamiKoji MaruyamaTohru MochizukiMasatoshi KusuharaAkio ShiomiYasuhisa OhdeMasanori TerashimaKatsuhiko UesakaTetsuro OnitsukaSeiichiro NishimuraYasuyuki HirashimaNakamasa HayashiYoshio KiyoharaYasuhiro TsubosaHirohisa KatagiriMasashi NiwakawaKaoru TakahashiHiroya KashiwagiMasahiro NakagawaYuji IshidaTakashi SuginoMitsuru TakahashiYasuto AkiyamaPublished in: Cancer science (2020)
This study aimed to establish the Japanese Cancer Genome Atlas (JCGA) using data from fresh frozen tumor tissues obtained from 5143 Japanese cancer patients, including those with colorectal cancer (31.6%), lung cancer (16.5%), gastric cancer (10.8%) and other cancers (41.1%). The results are part of a single-center study called "High-tech Omics-based Patient Evaluation" or "Project HOPE" conducted at the Shizuoka Cancer Center, Japan. All DNA samples and most RNA samples were analyzed using whole-exome sequencing, cancer gene panel sequencing, fusion gene panel sequencing and microarray gene expression profiling, and the results were annotated using an analysis pipeline termed "Shizuoka Multi-omics Analysis Protocol" developed in-house. Somatic driver alterations were identified in 72.2% of samples in 362 genes (average, 2.3 driver events per sample). Actionable information on drugs that is applicable in the current clinical setting was associated with 11.3% of samples. When including those drugs that are used for investigative purposes, actionable information was assigned to 55.0% of samples. Germline analysis revealed pathogenic mutations in hereditary cancer genes in 9.2% of samples, among which 12.2% were confirmed as pathogenic mutations by confirmatory test. Pathogenic mutations associated with non-cancerous hereditary diseases were detected in 0.4% of samples. Tumor mutation burden (TMB) analysis revealed 5.4% of samples as having the hypermutator phenotype (TMB ≥ 20). Clonal hematopoiesis was observed in 8.4% of samples. Thus, the JCGA dataset and the analytical procedures constitute a fundamental resource for genomic medicine for Japanese cancer patients.
Keyphrases
- papillary thyroid
- genome wide
- single cell
- squamous cell
- copy number
- genome wide identification
- randomized controlled trial
- oxidative stress
- childhood cancer
- young adults
- dna methylation
- healthcare
- single molecule
- squamous cell carcinoma
- social media
- machine learning
- mass spectrometry
- electronic health record
- deep learning
- risk factors
- health information
- big data
- quality improvement
- dna repair
- circulating tumor
- artificial intelligence
- hematopoietic stem cell
- genome wide analysis
- liquid chromatography