Unknown

Dataset Information

0

Whole-Genome Sequence of the Metastatic PC3 and LNCaP Human Prostate Cancer Cell Lines.


ABSTRACT: The bone metastasis-derived PC3 and the lymph node metastasis-derived LNCaP prostate cancer cell lines are widely studied, having been described in thousands of publications over the last four decades. Here, we report short-read whole-genome sequencing (WGS) and de novo assembly of PC3 (ATCC CRL-1435) and LNCaP (clone FGC; ATCC CRL-1740) at ?70 × coverage. A known homozygous mutation in TP53 and homozygous loss of PTEN were robustly identified in the PC3 cell line, whereas the LNCaP cell line exhibited a larger number of putative inactivating somatic point and indel mutations (and in particular a loss of stop codon events). This study also provides preliminary evidence that loss of one or both copies of the tumor suppressor Capicua (CIC) contributes to primary tumor relapse and metastatic progression, potentially offering a treatment target for castration-resistant prostate cancer (CRPC). Our work provides a resource for genetic, genomic, and biological studies employing two commonly-used prostate cancer cell lines.

SUBMITTER: Seim I 

PROVIDER: S-EPMC5473753 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

Whole-Genome Sequence of the Metastatic PC3 and LNCaP Human Prostate Cancer Cell Lines.

Seim Inge I   Jeffery Penny L PL   Thomas Patrick B PB   Nelson Colleen C CC   Chopin Lisa K LK  

G3 (Bethesda, Md.) 20170607 6


The bone metastasis-derived PC3 and the lymph node metastasis-derived LNCaP prostate cancer cell lines are widely studied, having been described in thousands of publications over the last four decades. Here, we report short-read whole-genome sequencing (WGS) and <i>de novo</i> assembly of PC3 (ATCC CRL-1435) and LNCaP (clone FGC; ATCC CRL-1740) at ∼70 × coverage. A known homozygous mutation in <i>TP53</i> and homozygous loss of <i>PTEN</i> were robustly identified in the PC3 cell line, whereas t  ...[more]

Similar Datasets

| S-EPMC3587597 | biostudies-literature
| S-EPMC2794383 | biostudies-literature
2017-12-31 | E-MTAB-4858 | biostudies-arrayexpress
2012-10-19 | GSE36531 | GEO
2012-10-19 | E-GEOD-36531 | biostudies-arrayexpress
| S-EPMC4729204 | biostudies-literature