Generation of Whole-Genome Sequencing Data for Comparing Primary and Castration-Resistant Prostate Cancer
Because castration-resistant prostate cancer (CRPC) does not respond to androgen deprivation therapy and has a very poor prognosis, it is critical to identify a prognostic indicator for predicting high-risk patients who will develop CRPC. Here, we report a dataset of whole genomes from four pairs of...
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| Format: | Article |
| Language: | English |
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BioMed Central
2018-09-01
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| Series: | Genomics & Informatics |
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| Online Access: | http://genominfo.org/upload/pdf/gi-2018-16-3-71.pdf |
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| _version_ | 1832572552574140416 |
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| author | Jong-Lyul Park Seon-Kyu Kim Jeong-Hwan Kim Seok Joong Yun Wun-Jae Kim Won Tae Kim Pildu Jeong Ho Won Kang Seon-Young Kim |
| author_facet | Jong-Lyul Park Seon-Kyu Kim Jeong-Hwan Kim Seok Joong Yun Wun-Jae Kim Won Tae Kim Pildu Jeong Ho Won Kang Seon-Young Kim |
| author_sort | Jong-Lyul Park |
| collection | DOAJ |
| description | Because castration-resistant prostate cancer (CRPC) does not respond to androgen deprivation therapy and has a very poor prognosis, it is critical to identify a prognostic indicator for predicting high-risk patients who will develop CRPC. Here, we report a dataset of whole genomes from four pairs of primary prostate cancer (PC) and CRPC samples. The analysis of the paired PC and CRPC samples in the whole-genome data showed that the average number of somatic mutations per patients was 7,927 in CRPC tissues compared with primary PC tissues (range, 1,691 to 21,705). Our whole-genome sequencing data of primary PC and CRPC may be useful for understanding the genomic changes and molecular mechanisms that occur during the progression from PC to CRPC. |
| format | Article |
| id | doaj-art-77aa0f071ab54bf380310dec61268e6e |
| institution | Kabale University |
| issn | 2234-0742 |
| language | English |
| publishDate | 2018-09-01 |
| publisher | BioMed Central |
| record_format | Article |
| series | Genomics & Informatics |
| spelling | doaj-art-77aa0f071ab54bf380310dec61268e6e2025-02-02T09:09:25ZengBioMed CentralGenomics & Informatics2234-07422018-09-01163717410.5808/GI.2018.16.3.71516Generation of Whole-Genome Sequencing Data for Comparing Primary and Castration-Resistant Prostate CancerJong-Lyul Park0Seon-Kyu Kim1Jeong-Hwan Kim2Seok Joong Yun3Wun-Jae Kim4Won Tae Kim5Pildu Jeong6Ho Won Kang7Seon-Young Kim8 Genome Editing Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Korea Personalized Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Korea Genome Editing Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Korea Department of Urology, Chungbuk National University College of Medicine, Cheongju 28644, Korea Department of Urology, Chungbuk National University College of Medicine, Cheongju 28644, Korea Department of Urology, Chungbuk National University College of Medicine, Cheongju 28644, Korea Department of Urology, Chungbuk National University College of Medicine, Cheongju 28644, Korea Department of Urology, Chungbuk National University Hospital, Cheongju 28644, Korea Genome Editing Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, KoreaBecause castration-resistant prostate cancer (CRPC) does not respond to androgen deprivation therapy and has a very poor prognosis, it is critical to identify a prognostic indicator for predicting high-risk patients who will develop CRPC. Here, we report a dataset of whole genomes from four pairs of primary prostate cancer (PC) and CRPC samples. The analysis of the paired PC and CRPC samples in the whole-genome data showed that the average number of somatic mutations per patients was 7,927 in CRPC tissues compared with primary PC tissues (range, 1,691 to 21,705). Our whole-genome sequencing data of primary PC and CRPC may be useful for understanding the genomic changes and molecular mechanisms that occur during the progression from PC to CRPC.http://genominfo.org/upload/pdf/gi-2018-16-3-71.pdfcastration-resistant prostate cancerDNA variantswhole-genome sequencing |
| spellingShingle | Jong-Lyul Park Seon-Kyu Kim Jeong-Hwan Kim Seok Joong Yun Wun-Jae Kim Won Tae Kim Pildu Jeong Ho Won Kang Seon-Young Kim Generation of Whole-Genome Sequencing Data for Comparing Primary and Castration-Resistant Prostate Cancer Genomics & Informatics castration-resistant prostate cancer DNA variants whole-genome sequencing |
| title | Generation of Whole-Genome Sequencing Data for Comparing Primary and Castration-Resistant Prostate Cancer |
| title_full | Generation of Whole-Genome Sequencing Data for Comparing Primary and Castration-Resistant Prostate Cancer |
| title_fullStr | Generation of Whole-Genome Sequencing Data for Comparing Primary and Castration-Resistant Prostate Cancer |
| title_full_unstemmed | Generation of Whole-Genome Sequencing Data for Comparing Primary and Castration-Resistant Prostate Cancer |
| title_short | Generation of Whole-Genome Sequencing Data for Comparing Primary and Castration-Resistant Prostate Cancer |
| title_sort | generation of whole genome sequencing data for comparing primary and castration resistant prostate cancer |
| topic | castration-resistant prostate cancer DNA variants whole-genome sequencing |
| url | http://genominfo.org/upload/pdf/gi-2018-16-3-71.pdf |
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