Sanchis Pablo, Anselmino Nicolas, Lage-Vickers Sofia, Sabater Agustina, Lavignolle Rosario, Labanca Estefania, Shepherd Peter D A, Bizzotto Juan, Toro Ayelen, Mitrofanova Antonina, Valacco Maria Pia, Navone Nora, Vazquez Elba, Cotignola Javier, Gueron Geraldine
Laboratorio de Inflamación y Cáncer, Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires C1428EGA, Argentina.
CONICET-Universidad de Buenos Aires, Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN), Buenos Aires C1428EGA, Argentina.
Cancers (Basel). 2022 Apr 21;14(9):2083. doi: 10.3390/cancers14092083.
Metastatic prostate cancer (PCa) cells soiling in the bone require a metabolic adaptation. Here, we identified the metabolic genes fueling the seeding of PCa in the bone niche. Using a transwell co-culture system of PCa (PC3) and bone progenitor cells (MC3T3 or Raw264.7), we assessed the transcriptome of PC3 cells modulated by soluble factors released from bone precursors. In a Principal Component Analysis using transcriptomic data from human PCa samples (GSE74685), the altered metabolic genes found in vitro were able to stratify PCa patients in two defined groups: primary PCa and bone metastasis, confirmed by an unsupervised clustering analysis. Thus, the early transcriptional metabolic profile triggered in the in vitro model has a clinical correlate in human bone metastatic samples. Further, the expression levels of five metabolic genes ( and ) were independent risk-predictors of death in the SU2C-PCF dataset and a risk score model built using this lipid-associated signature was able to discriminate a subgroup of bone metastatic PCa patients with a 23-fold higher risk of death. This signature was validated in a PDX pre-clinical model when comparing MDA-PCa-183 growing intrafemorally vs. subcutaneously, and appears to be under the regulatory control of the Protein Kinase A (PKA) signaling pathway. Secretome analyses of conditioned media showcased fibronectin and type-1 collagen as critical bone-secreted factors that could regulate tumoral PKA. Overall, we identified a novel lipid gene signature, driving PCa aggressive metastatic disease pointing to PKA as a potential hub to halt progression.
在骨中定植的转移性前列腺癌细胞需要进行代谢适应。在此,我们鉴定了促进前列腺癌在骨微环境中定植的代谢基因。利用前列腺癌(PC3)细胞与骨祖细胞(MC3T3或Raw264.7)的Transwell共培养系统,我们评估了由骨前体细胞释放的可溶性因子调节的PC3细胞的转录组。在使用来自人类前列腺癌样本(GSE74685)的转录组数据进行的主成分分析中,体外发现的改变的代谢基因能够将前列腺癌患者分为两个明确的组:原发性前列腺癌和骨转移癌组,这通过无监督聚类分析得到了证实。因此,体外模型中触发的早期转录代谢谱在人类骨转移样本中具有临床相关性。此外,在SU2C - PCF数据集中,五个代谢基因(和)的表达水平是死亡的独立风险预测因子,并且使用这种脂质相关特征构建的风险评分模型能够区分出一组骨转移性前列腺癌患者亚组,其死亡风险高23倍。当比较在股骨内生长与皮下生长的MDA - PCa - 183时,该特征在PDX临床前模型中得到了验证,并且似乎受蛋白激酶A(PKA)信号通路的调控。条件培养基的分泌蛋白组分析表明纤连蛋白和I型胶原是关键的骨分泌因子,它们可以调节肿瘤的PKA活性。总体而言,我们鉴定了一种新的脂质基因特征,它驱动前列腺癌的侵袭性转移疾病,表明PKA是阻止疾病进展的潜在关键节点。