对局部性前列腺癌的治疗影响通过对老化微环境景观的多组学分析
Chengpeng Gui1,2, Jinhuan Wei1, Chengqiang Mo1
1Department of Urology, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
International journal of biological sciences
|August 11, 2023
概括
这项研究确定了前列腺癌 (PCa) 中明显的衰老微环境 (AME) 模式,开发了一个衰老微环境指数 (AMI) 用于预后和预测治疗反应. 该AMI突出显示了COL1A1和BGLAP等关键基因,用于潜在的向疗法.
科学领域:
- 在瘤学瘤学.
- 癌症生物学 癌症生物学
- 免疫学 免疫学 免疫学
背景情况:
- 衰老与癌症的进展有关,特别是前列腺癌 (PCa).
- 在PCa中衰老的瘤微环境 (TME) 仍然不太了解.
- 描述老化微环境 (AME) 对于理解PCa发展至关重要.
研究的目的:
- 识别和描述前列腺癌 (PCa) 中不同的衰老微环境 (AME) 调节模式.
- 为预后和预测能力开发一个老化微环境指数 (AMI).
- 研究PCa中AME模式的临床相关性和治疗潜力.
主要方法:
- 非负矩阵因子化 (NMF) 算法用于识别AME模式.
- 构建一个老化微环境指数 (AMI) 和使用空间转录学进行验证.
- 对药物敏感性的分析 (GDSC,CMap,CellMiner) 和体外/体外实验.
主要成果:
- 在813名PCa患者中确定了三种不同的AME模式,与预后和途径相关.
- 该AMI将患者分为分层,分为高和低得分组,高得分与增加的免疫透,更高的复发率和对治疗的反应较差有关.
- 双胺和恩贝林的组合抑制了PCa的生长,并且在AMI中确定了COL1A1和BGLAP作为瘤原体.
结论:
- AME调节显著影响PCa.中的瘤微环境 (TME) 复杂性.
- 该AMI为评估AME模式提供了一种定量度量.
- 美国外科医生评估可能会导致针对个性化PCa治疗的新生物标志物.
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