Linking prostate cancer cell AR heterogeneity to distinct castration and enzalutamide responses.
Linking prostate cancer cell AR heterogeneity to distinct castration and enzalutamide responses.
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将前列腺癌细胞 AR 异质性与不同的去势和恩杂鲁胺反应联系起来。
DOI:
10.1038/s41467-018-06067-7
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发表时间:
2018-09-06
影响因子:
16.6
通讯作者:
Tang DG
中科院分区:
文献类型:
--
作者:
Li Q;Deng Q;Chao HP;Liu X;Lu Y;Lin K;Liu B;Tang GW;Zhang D;Tracz A;Jeter C;Rycaj K;Calhoun-Davis T;Huang J;Rubin MA;Beltran H;Shen J;Chatta G;Puzanov I;Mohler JL;Wang J;Zhao R;Kirk J;Chen X;Tang DG
Expression of androgen receptor (AR) in prostate cancer (PCa) is heterogeneous but the functional significance of AR heterogeneity remains unclear. Screening ~200 castration-resistant PCa (CRPC) cores and whole-mount sections (from 89 patients) reveals 3 AR expression patterns: nuclear (nuc-AR), mixed nuclear/cytoplasmic (nuc/cyto-AR), and low/no expression (AR−/lo). Xenograft modeling demonstrates that AR+ CRPC is enzalutamide-sensitive but AR−/lo CRPC is resistant. Genome editing-derived AR+ and AR-knockout LNCaP cell clones exhibit distinct biological and tumorigenic properties and contrasting responses to enzalutamide. RNA-Seq and biochemical analyses, coupled with experimental combinatorial therapy, identify BCL-2 as a critical therapeutic target and provide proof-of-concept therapeutic regimens for both AR+/hi and AR−/lo CRPC. Our study links AR expression heterogeneity to distinct castration/enzalutamide responses and has important implications in understanding the cellular basis of prostate tumor responses to AR-targeting therapies and in facilitating development of novel therapeutics to target AR−/lo PCa cells/clones. The functional significance of the observed heterogeneity of androgen receptor (AR) expression in prostate cancer is unknown. Here the authors show AR expression heterogeneity is associated with distinct castration/enzalutamide responses and identify BCL-2 as a potential therapeutic target in castration-resistant prostate cancer.
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DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
82.9
作者:
Beltran H;Prandi D;Mosquera JM;Benelli M;Puca L;Cyrta J;Marotz C;Giannopoulou E;Chakravarthi BV;Varambally S;Tomlins SA;Nanus DM;Tagawa ST;Van Allen EM;Elemento O;Sboner A;Garraway LA;Rubin MA;Demichelis F
通讯作者:
Demichelis F
影响因子:
7
作者:
Harrow J;Frankish A;Gonzalez JM;Tapanari E;Diekhans M;Kokocinski F;Aken BL;Barrell D;Zadissa A;Searle S;Barnes I;Bignell A;Boychenko V;Hunt T;Kay M;Mukherjee G;Rajan J;Despacio-Reyes G;Saunders G;Steward C;Harte R;Lin M;Howald C;Tanzer A;Derrien T;Chrast J;Walters N;Balasubramanian S;Pei B;Tress M;Rodriguez JM;Ezkurdia I;van Baren J;Brent M;Haussler D;Kellis M;Valencia A;Reymond A;Gerstein M;Guigó R;Hubbard TJ
通讯作者:
Hubbard TJ
影响因子:
50.3
作者:
Domingo-Domenech J;Vidal SJ;Rodriguez-Bravo V;Castillo-Martin M;Quinn SA;Rodriguez-Barrueco R;Bonal DM;Charytonowicz E;Gladoun N;de la Iglesia-Vicente J;Petrylak DP;Benson MC;Silva JM;Cordon-Cardo C
通讯作者:
Cordon-Cardo C
影响因子:
7.3
作者:
DEWINTER, JAR;TRAPMAN, J;VANDERKWAST, TH
通讯作者:
VANDERKWAST, TH