Liu Xiaozhuo, Cortes Eduardo, Ji Yibing, Zhao Kathy, Ho Julian, Liu Yang Seagle, Davicioni Elai, Feng Felix Y, Alumkal Joshi J, Spratt Daniel E, Sweeney Christopher J, Yu Han, Hu Qiang, Cheng Zou, Zhang Dingxiao, Chatta Gurkamal, Nastiuk Kent L, Goodrich David W, Rycaj Kiera, Jamroze Anmbreen, Kirk Jason S, Puzanov Igor, Liu Song, Wang Jianmin, Tang Dean G
Department of Pharmacology and Therapeutics, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA.
Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA.
bioRxiv. 2025 Jun 5:2025.04.27.650697. doi: 10.1101/2025.04.27.650697.
Cancer progression involves loss of differentiation and acquisition of stem cell-like traits, broadly referred to as "stemness". Here, we test whether the level of stemness, assessed by a transcriptome-derived Stemness score, can quantitatively track prostate cancer (PCa) development, progression, therapy resistance, metastasis, plasticity, and patient survival. Integrative analysis of transcriptomic data from 87,183 samples across 26 datasets reveals a progressive increase in Stemness and decline in pro-differentiation androgen receptor activity (AR-A) along the PCa continuum, with metastatic castration-resistant PCa (mCRPC) exhibiting the highest Stemness and lowest AR-A. Both the general Stemness score and a newly developed 12-gene "PCa-Stem Signature" correlate with and predict poor clinical outcomes. Mechanistically, increased AR-A may promote Stemness in early-stage PCa while amplification and bi-allelic loss likely drive greatly elevated Stemness in mCRPC where AR-A is suppressed. Our findings establish Stemness as a robust quantitative measure of PCa aggressiveness and offer a scalable framework for PCa risk stratification.
癌症进展涉及细胞分化的丧失和干细胞样特征的获得,广义上称为“干性”。在此,我们测试通过转录组衍生的干性评分评估的干性水平是否能够定量追踪前列腺癌(PCa)的发展、进展、治疗抗性、转移、可塑性和患者生存情况。对来自26个数据集的87183个样本的转录组数据进行综合分析发现,沿着PCa连续统,干性逐渐增加,促分化雄激素受体活性(AR-A)下降,转移性去势抵抗性PCa(mCRPC)表现出最高的干性和最低的AR-A。一般的干性评分和新开发的12基因“PCa-干性特征”均与不良临床结果相关并可预测不良临床结果。从机制上讲,AR-A增加可能在早期PCa中促进干性,而扩增和双等位基因缺失可能在AR-A被抑制的mCRPC中极大地驱动干性升高。我们的研究结果将干性确立为PCa侵袭性的可靠定量指标,并为PCa风险分层提供了一个可扩展的框架。