Scholarlink

<p>Enzalutamide resistance (EnzR) is a major challenge in the current treatment of castration-resistant prostate cancer, as tumors frequently progress to drug resistance after an initially effective treatment. Therefore, there is an urgent need to characterize the genes alterations that accompany EnzR in prostate cancer and to identify new therapeutic targets. In this study, we analyzed a total of 1273 publicly available transcriptomics datasets from patients who underwent prostate cancer surgery. We investigated transcriptomic changes after enzalutamide (ENZ) treatment, identified key genes involved in the process of EnzR, and developed EnzR scores to predict tumor progression. We further investigated the role of IGFBP3 in the regulation of EnzR in prostate cancer. The effect of IGFBP3 expression level on the malignant degree of EnzR cells was explored in vitro. In addition, we explored the downstream mechanism of IGFBP3 involvement in EnzR. We found that epithelial-mesenchymal transition (EMT), cancer stem cell-like properties, and neuroendocrine transformation occurred in tumor cells after ENZ treatment. Subsequently, we developed and validated EnzR scores to predict prostate cancer tumor progression. Furthermore, we experimentally confirmed that IGFBP3 promotes the proliferation of drug-resistant cells and enhances ENZ resistance via EMT signaling. Overall, we established a new EnzR scoring model through multidimensional analysis of EnzR patterns. This model can accurately predict the clinical prognosis of prostate cancer patients after surgery. Moreover, IGFBP3 can be used as a potential therapeutic target for ENZ resistance in prostate cancer.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Insulin-like growth factor binding protein-3 serves as a biomarker for resistance to enzalutamide in prostate cancer

  • 期刊论文

  • 发表日期：

    2026年3月22日

查看全文
  • Ze Gao,
  • Bingzheng An,
  • Shuo Chen,
  • Yifan Wang,
  • Liwei Meng,
  • Kefan Song,
  • Ulf Schmitz,
  • Ning Zhang,
  • Zhiqing Fang

摘要

Enzalutamide resistance (EnzR) is a major challenge in the current treatment of castration-resistant prostate cancer, as tumors frequently progress to drug resistance after an initially effective treatment. Therefore, there is an urgent need to characterize the genes alterations that accompany EnzR in prostate cancer and to identify new therapeutic targets. In this study, we analyzed a total of 1273 publicly available transcriptomics datasets from patients who underwent prostate cancer surgery. We investigated transcriptomic changes after enzalutamide (ENZ) treatment, identified key genes involved in the process of EnzR, and developed EnzR scores to predict tumor progression. We further investigated the role of IGFBP3 in the regulation of EnzR in prostate cancer. The effect of IGFBP3 expression level on the malignant degree of EnzR cells was explored in vitro. In addition, we explored the downstream mechanism of IGFBP3 involvement in EnzR. We found that epithelial-mesenchymal transition (EMT), cancer stem cell-like properties, and neuroendocrine transformation occurred in tumor cells after ENZ treatment. Subsequently, we developed and validated EnzR scores to predict prostate cancer tumor progression. Furthermore, we experimentally confirmed that IGFBP3 promotes the proliferation of drug-resistant cells and enhances ENZ resistance via EMT signaling. Overall, we established a new EnzR scoring model through multidimensional analysis of EnzR patterns. This model can accurately predict the clinical prognosis of prostate cancer patients after surgery. Moreover, IGFBP3 can be used as a potential therapeutic target for ENZ resistance in prostate cancer.