Generation of whole-genome sequencing data for comparing primary and castration-resistant prostate cancer

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dc.contributor.authorJong Lyul Park-
dc.contributor.authorSeon-Kyu Kim-
dc.contributor.authorJeong Hwan Kim-
dc.contributor.authorS J Yun-
dc.contributor.authorW J Kim-
dc.contributor.authorW T Kim-
dc.contributor.authorP Jeong-
dc.contributor.authorH W Kang-
dc.contributor.authorSeon-Young Kim-
dc.date.accessioned2019-01-23T16:30:12Z-
dc.date.available2019-01-23T16:30:12Z-
dc.date.issued2018-
dc.identifier.issnI000-0158-
dc.identifier.uri10.5808/GI.2018.16.3.71ko
dc.identifier.urihttps://oak.kribb.re.kr/handle/201005/18124-
dc.description.abstractBecause 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.-
dc.publisherKorea Soc-Assoc-Inst-
dc.titleGeneration of whole-genome sequencing data for comparing primary and castration-resistant prostate cancer-
dc.title.alternativeGeneration of whole-genome sequencing data for comparing primary and castration-resistant prostate cancer-
dc.typeArticle-
dc.citation.titleGenomics & Informatics-
dc.citation.number3-
dc.citation.endPage74-
dc.citation.startPage71-
dc.citation.volume16-
dc.contributor.affiliatedAuthorJong Lyul Park-
dc.contributor.affiliatedAuthorSeon-Kyu Kim-
dc.contributor.affiliatedAuthorJeong Hwan Kim-
dc.contributor.affiliatedAuthorSeon-Young Kim-
dc.contributor.alternativeName박종열-
dc.contributor.alternativeName김선규-
dc.contributor.alternativeName김정환-
dc.contributor.alternativeName윤석중-
dc.contributor.alternativeName김원재-
dc.contributor.alternativeName김원태-
dc.contributor.alternativeName정필두-
dc.contributor.alternativeName강호원-
dc.contributor.alternativeName김선영-
dc.identifier.bibliographicCitationGenomics & Informatics, vol. 16, no. 3, pp. 71-74-
dc.identifier.doi10.5808/GI.2018.16.3.71-
dc.subject.keywordDNA variants-
dc.subject.keywordcastration-resistant prostate cancer-
dc.subject.keywordwhole-genome sequencing-
dc.subject.localDNA variants-
dc.subject.localDNA variant-
dc.subject.localcastration-resistant prostate cancer-
dc.subject.localwhole-genome sequencing-
dc.subject.localWhole genome sequencing-
dc.subject.localWhole genome sequencing (WGS)-
dc.subject.localWhole-genome sequencing-
dc.subject.localWhole genome sequence-
dc.description.journalClassN-
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