Back

A forward genetic screen identifies Sirtuin1 as a driver of neuroendocrine prostate cancer

Nunes de Almeida, F.; Vasciaveo, A.; Antao, A. M.; Zou, M.; Di Bernardo, M.; de Brot, S.; Rodriguez-Calero, A.; Chui, A.; Wang, A. L. E.; Floch, N.; Kim, J. Y.; Afari, S. N.; Mukhammadov, T.; Arriaga, J. M.; Lu, J.; Shen, M. M.; Rubin, M.; Califano, A.; Abate-Shen, C.

2024-08-26 cancer biology
10.1101/2024.08.24.609538 bioRxiv
Show abstract

Although localized prostate cancer is relatively indolent, advanced prostate cancer manifests with aggressive and often lethal variants, including neuroendocrine prostate cancer (NEPC). To identify drivers of aggressive prostate cancer, we leveraged Sleeping Beauty (SB) transposon mutagenesis in a mouse model based on prostate-specific loss-of-function of Pten and Tp53. Compared with control mice, SB mice developed more aggressive prostate tumors, with increased incidence of metastasis. Notably, a significant percentage of the SB prostate tumors display NEPC phenotypes, and the transcriptomic features of these SB mouse tumors recapitulated those of human NEPC. We identified common SB transposon insertion sites (CIS) and prioritized associated CIS-genes differentially expressed in NEPC versus non-NEPC SB tumors. Integrated analysis of CIS-genes encoding for proteins representing upstream, post-translational modulators of master regulators controlling the transcriptional state of SB-mouse and human NEPC tumors identified sirtuin 1 (Sirt1) as a candidate mechanistic determinant of NEPC. Gain-of-function studies in human prostate cancer cell lines confirmed that SIRT1 promotes NEPC, while its loss-of-function or pharmacological inhibition abrogates NEPC. This integrative analysis is generalizable and can be used to identify novel cancer drivers for other malignancies. SummaryUsing an unbiased forward mutagenesis screen in an autochthonous mouse model, we have investigated mechanistic determinants of aggressive prostate cancer. SIRT1 emerged as a key regulator of neuroendocrine prostate cancer differentiation and a potential target for therapeutic intervention.

Published in Journal of Experimental Medicine (predicted rank #23) · training set

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.