Department of Urology, UZ Leuven, Leuven, Belgium.
Organ Systems, KU Leuven, Leuven, Belgium.
PLoS One. 2020 Dec 28;15(12):e0244663. doi: 10.1371/journal.pone.0244663. eCollection 2020.
The tumour micro-environment (TME) plays a crucial role in the onset and progression of prostate cancer (PCa). Here we studied the potential of a selected panel of TME-markers to predict clinical recurrence (CLR) in PCa. Patient cohorts were matched for the presence or absence of CLR 5 years post-prostatectomy. Tissue micro-arrays (TMA) were composed with both prostate non-tumour (PNT) and PCa tissue and subsequently processed for immunohistochemistry (IHC). The IHC panel included markers for cancer activated fibroblasts (CAFs), blood vessels and steroid hormone receptors ((SHR): androgen receptor (AR), progesterone receptor (PR) and estrogen receptor (ER)). Stained slides were digitalised, selectively annotated and analysed for percentage of marker expression with standardized and validated image analysis algorithms. A univariable analysis identified several TME markers with significant impact on CR: expression of CD31 (vascular marker) in PNT stroma, expression of alpha smooth muscle actin (αSMA) in PCa stroma, and PR expression ratio between PCa stroma and PNT stroma. A multivariable model, which included CD31 expression (vascular marker) in PNT stroma and PR expression ratio between PCa stroma and PNT stroma, could significantly stratify patients for CLR, with the identification of a low risk and high-risk subgroup. If validated and confirmed in an independent prospective series, this subgroup might have clinical potential for PCa patient stratification.
肿瘤微环境(TME)在前列腺癌(PCa)的发生和进展中起着至关重要的作用。在这里,我们研究了一组选定的 TME 标志物在预测前列腺癌患者术后 5 年内临床复发(CLR)方面的潜力。患者队列根据是否存在 CLR 进行匹配。组织微阵列(TMA)由前列腺非肿瘤(PNT)和 PCa 组织组成,并随后进行免疫组织化学(IHC)处理。IHC 面板包括用于癌症激活成纤维细胞(CAFs)、血管和甾体激素受体(SHR:雄激素受体(AR)、孕激素受体(PR)和雌激素受体(ER))的标志物。染色的幻灯片被数字化、选择性注释,并使用标准化和验证的图像分析算法分析标志物表达的百分比。单变量分析确定了几个对 CR 有显著影响的 TME 标志物:PNT 基质中 CD31(血管标志物)的表达、PCa 基质中α平滑肌肌动蛋白(αSMA)的表达以及 PCa 基质与 PNT 基质之间的 PR 表达比率。一个包含 PNT 基质中 CD31 表达(血管标志物)和 PCa 基质与 PNT 基质之间 PR 表达比率的多变量模型,可以显著地对患者进行 CLR 分层,确定低风险和高风险亚组。如果在独立的前瞻性系列中得到验证和确认,该亚组可能具有前列腺癌患者分层的临床潜力。