Temporal evolution of cellular heterogeneity during the progression to advanced AR-negative prostate cancer.
Temporal evolution of cellular heterogeneity during the progression to advanced AR-negative prostate cancer.
复制标题
DOI:
10.1038/s41467-021-23780-y
复制
发表时间:
2021-06-07
影响因子:
16.6
通讯作者:
Rickman DS
中科院分区:
文献类型:
--
作者:
Brady NJ;Bagadion AM;Singh R;Conteduca V;Van Emmenis L;Arceci E;Pakula H;Carelli R;Khani F;Bakht M;Sigouros M;Bareja R;Sboner A;Elemento O;Tagawa S;Nanus DM;Loda M;Beltran H;Robinson B;Rickman DS
Despite advances in the development of highly effective androgen receptor (AR)-directed therapies for the treatment of men with advanced prostate cancer, acquired resistance to such therapies frequently ensues. A significant subset of patients with resistant disease develop AR-negative tumors that lose their luminal identity and display neuroendocrine features (neuroendocrine prostate cancer (NEPC)). The cellular heterogeneity and the molecular evolution during the progression from AR-positive adenocarcinoma to AR-negative NEPC has yet to be characterized. Utilizing a new genetically engineered mouse model, we have characterized the synergy between Rb1 loss and MYCN (encodes N-Myc) overexpression which results in the formation of AR-negative, poorly differentiated tumors with high metastatic potential. Single-cell-based approaches revealed striking temporal changes to the transcriptome and chromatin accessibility which have identified the emergence of distinct cell populations, marked by differential expression of Ascl1 and Pou2f3, during the transition to NEPC. Moreover, global DNA methylation and the N-Myc cistrome are redirected following Rb1 loss. Altogether, our data provide insight into the progression of prostate adenocarcinoma to NEPC. The heterogeneity of tumor evolution from AR-positive, adenocarcinoma to AR-negative, neuroendocrine prostate cancer (NEPC) is not fully characterized. Here the authors generate a mouse model to show that Rb1 loss and MYCN overexpression accelerates the progression to AR-negative NEPC and identify emergence of distinct subpopulations of NEPC cells.
登录
查看更多内容
影响因子:
64.8
作者:
Cao, Junyue;Spielmann, Malte;Shendure, Jay
通讯作者:
Shendure, Jay
影响因子:
7.3
作者:
Gao J;Aksoy BA;Dogrusoz U;Dresdner G;Gross B;Sumer SO;Sun Y;Jacobsen A;Sinha R;Larsson E;Cerami E;Sander C;Schultz N
通讯作者:
Schultz N
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:
48
作者:
Engstrom, Par G.;Steijger, Tamara;Sipos, Botond;Grant, Gregory R.;Kahles, Andre;Raetsch, Gunnar;Goldman, Nick;Hubbard, Tim J.;Harrow, Jennifer;Guigo, Roderic;Bertone, Paul
通讯作者:
Bertone, Paul