Unknown

Dataset Information

0

Generation of Whole-Genome Sequencing Data for Comparing Primary and Castration-Resistant Prostate Cancer.


ABSTRACT: 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.

SUBMITTER: Park JL 

PROVIDER: S-EPMC6187813 | biostudies-other | 2018 Sep

REPOSITORIES: biostudies-other

altmetric image

Publications

Generation of Whole-Genome Sequencing Data for Comparing Primary and Castration-Resistant Prostate Cancer.

Park Jong-Lyul JL   Kim Seon-Kyu SK   Kim Jeong-Hwan JH   Yun Seok Joong SJ   Kim Wun-Jae WJ   Kim Won Tae WT   Jeong Pildu P   Kang Ho Won HW   Kim Seon-Young SY  

Genomics & informatics 20180930 3


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 CR  ...[more]

Similar Datasets

| S-EPMC5759046 | biostudies-literature
| S-EPMC4312515 | biostudies-literature
| S-EPMC6046279 | biostudies-literature
2014-09-06 | E-GEOD-50630 | biostudies-arrayexpress
2011-12-06 | E-GEOD-34174 | biostudies-arrayexpress
2011-12-06 | GSE34174 | GEO
2014-09-06 | GSE50630 | GEO
| S-EPMC3956942 | biostudies-other
2011-09-22 | GSE32269 | GEO
| S-EPMC5045370 | biostudies-literature