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雄激素受体在前列腺癌中的活性通过 MYC 决定了双极雄激素治疗的疗效。

Androgen receptor activity in prostate cancer dictates efficacy of bipolar androgen therapy through MYC.

出版信息

J Clin Invest. 2022 Dec 1;132(23):e162396. doi: 10.1172/JCI162396.

Abstract

Testosterone is the canonical growth factor of prostate cancer but can paradoxically suppress its growth when present at supraphysiological levels. We have previously demonstrated that the cyclical administration of supraphysiological androgen (SPA), termed bipolar androgen therapy (BAT), can result in tumor regression and clinical benefit for patients with castration-resistant prostate cancer. However, predictors and mechanisms of response and resistance have been ill defined. Here, we show that growth inhibition of prostate cancer models by SPA required high androgen receptor (AR) activity and were driven in part by downregulation of MYC. Using matched sequential patient biopsies, we show that high pretreatment AR activity predicted downregulation of MYC, improved clinical response, and prolonged progression-free and overall survival for patients on BAT. BAT induced strong downregulation of AR in all patients, which is shown to be a primary mechanism of acquired resistance to SPA. Acquired resistance was overcome by alternating SPA with the AR inhibitor enzalutamide, which induced adaptive upregulation of AR and resensitized prostate cancer to SPA. This work identifies high AR activity as a predictive biomarker of response to BAT and supports a treatment paradigm for prostate cancer involving alternating between AR inhibition and activation.

摘要

睾酮是前列腺癌的典型生长因子,但在生理水平以上时,它可以抑制肿瘤的生长,产生矛盾的效果。我们之前已经证明,周期性给予生理水平以上的雄激素(称为双相雄激素治疗,BAT),可以使去势抵抗性前列腺癌患者的肿瘤消退并获得临床获益。然而,反应和耐药的预测因子和机制仍未明确。在这里,我们发现 SPA 抑制前列腺癌模型的生长需要高雄激素受体(AR)活性,并部分由 MYC 的下调驱动。通过配对的序贯患者活检,我们发现高预处理 AR 活性预示着 MYC 的下调,改善了 BAT 患者的临床反应,并延长了无进展生存期和总生存期。BAT 诱导所有患者 AR 的强烈下调,这被证明是 SPA 获得性耐药的主要机制。通过将 SPA 与 AR 抑制剂恩扎鲁胺交替使用,可以克服获得性耐药,这会诱导 AR 的适应性上调,并使前列腺癌对 SPA 重新敏感。这项工作确定了高 AR 活性作为 BAT 反应的预测生物标志物,并支持一种涉及 AR 抑制和激活交替的前列腺癌治疗模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5532/9711876/9ccad37eb2e5/jci-132-162396-g079.jpg

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