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Response to supraphysiological testosterone is predicted by a distinct androgen receptor cistrome
Xintao Qiu, … , Henry W. Long, Eva Corey
Xintao Qiu, … , Henry W. Long, Eva Corey
Published May 23, 2022
Citation Information: JCI Insight. 2022;7(10):e157164. https://doi.org/10.1172/jci.insight.157164.
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Resource and Technical Advance Endocrinology Oncology

Response to supraphysiological testosterone is predicted by a distinct androgen receptor cistrome

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Abstract

The androgen receptor (AR) is a master transcription factor that regulates prostate cancer (PC) development and progression. Inhibition of AR signaling by androgen deprivation is the first-line therapy with initial efficacy for advanced and recurrent PC. Paradoxically, supraphysiological levels of testosterone (SPT) also inhibit PC progression. However, as with any therapy, not all patients show a therapeutic benefit, and responses differ widely in magnitude and duration. In this study, we evaluated whether differences in the AR cistrome before treatment can distinguish between SPT-responding (R) and -nonresponding (NR) tumors. We provide the first preclinical evidence to our knowledge that SPT-R tumors exhibit a distinct AR cistrome when compared with SPT-NR tumors, indicating a differential biological role of the AR. We applied an integrated analysis of ChIP-Seq and RNA-Seq to the pretreatment tumors and identified an SPT-R signature that distinguishes R and NR tumors. Because transcriptomes of SPT-treated clinical specimens are not available, we interrogated available castration-resistant PC (CRPC) transcriptomes and showed that the SPT-R signature is associated with improved survival and has the potential to identify patients who would respond to SPT. These findings provide an opportunity to identify the subset of patients with CRPC who would benefit from SPT therapy.

Authors

Xintao Qiu, Lisha G. Brown, Jennifer L. Conner, Holly M. Nguyen, Nadia Boufaied, Sarah Abou Alaiwi, Ji-Heui Seo, Talal El Zarif, Connor Bell, Edward O’Connor, Brian Hanratty, Mark Pomerantz, Matthew L. Freedman, Myles Brown, Michael C. Haffner, Peter S. Nelson, Felix Y. Feng, David P. Labbé, Henry W. Long, Eva Corey

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Figure 3

Identification of potential biomarkers of SPT responsiveness by integrating the ChIP-Seq and RNA-Seq data sets from pretreatment PDX tumors.

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Identification of potential biomarkers of SPT responsiveness by integrat...
(A) Volcano plots of differentially expressed genes between R (n = 4) and NR (n = 4) PDX tumors. Genes that have nearby R-ARBS are highlighted in blue (right) and those with nearby NR-ARBS are in red (left). (B) AR and H3K27ac tracks in regions containing PCA3, HNF1A, SPINK1, and GSTP1. The R tumors (red tracks) show significant AR signal and H3K27ac at the gene promoter of PCA3, HNF1A, and SPINK1, whereas in NR tumors (blue tracks), there is a very little signal of AR and H3K27ac in these regions. In contrast, there is a strong signal of AR and H3K27ac at the GSTP1 region in NR tumors, whereas these bindings are not present in R tumors. (C) Representative examples of HNF1A and GSTP1 IHC in R (n = 4) and NR tumors. Scale bars: 20 μm. (D) Heat map of PCA3, HNF1A, SPINK1, and GSTP1 expression in a cohort of 28 PDX models (n = 2–4 tumors per model). (E) Heat map of PCA3, HNF1A, SPINK1, and GSTP1 expressions in the UW CRPC cohort (n = 138). Numbers above the heat maps indicate the number of tumors.

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