Singh Ajay P, Bafna Sangeeta, Chaudhary Kunal, Venkatraman Ganesh, Smith Lynette, Eudy James D, Johansson Sonny L, Lin Ming-Fong, Batra Surinder K
Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, 985870 Nebraska Medical Center, Omaha, NE 68198-5870, USA.
Cancer Lett. 2008 Jan 18;259(1):28-38. doi: 10.1016/j.canlet.2007.09.018. Epub 2007 Oct 30.
Previously, we have developed a unique in vitro LNCaP cell model, which includes androgen-dependent (LNCaP-C33), androgen-independent (LNCaP-C81) and an intermediate phenotype (LNCaP-C51) cell lines resembling the stages of prostate cancer progression to hormone independence. This model is advantageous in overcoming the heterogeneity associated with the prostate cancer up to a certain extent. We characterized and compared the gene expression profiles in LNCaP-C33 (androgen-dependent) and LNCaP-C81 (androgen-independent) cells using Affymetrix GeneChip array analyses. Multiple genes were identified exhibiting differential expression during androgen-independent progression. Among the important genes upregulated in androgen-independent cells were PCDH7, TPTE, TSPY, EPHA3, HGF, MET, EGF, TEM8, etc., whereas many candidate tumor suppressor genes (HTATIP2, CDKN2A, CDKN2B, CDKN1C, TP53, TP73, ICAM1, SOCS1/2, SPRY2, PPP2CA, PPP3CA, etc.) were decreased. Pathway prediction analysis identified important gene networks associated with growth-promoting and apoptotic signaling that were perturbed during androgen-independent progression. Further investigation of one of the genes, PPP2CA, which encodes the catalytic subunit of a serine phosphatase PP2A, a potent tumor suppressor, revealed that its expression was decreased in prostate cancer compared to adjacent normal/benign tissue. Furthermore, the downregulated expression of PPP2CA was significantly correlated with tumor stage and Gleason grade. Future studies on the identified differentially expressed genes and signaling pathways may be helpful in understanding the biology of prostate cancer progression and prove useful in developing novel prognostic biomarkers and therapy for androgen-refractory prostate cancer.
此前,我们开发了一种独特的体外LNCaP细胞模型,其中包括雄激素依赖型(LNCaP-C33)、雄激素非依赖型(LNCaP-C81)以及一种中间表型(LNCaP-C51)细胞系,它们类似于前列腺癌进展至激素非依赖阶段的各个时期。该模型在一定程度上有利于克服与前列腺癌相关的异质性。我们使用Affymetrix基因芯片分析对LNCaP-C33(雄激素依赖型)和LNCaP-C81(雄激素非依赖型)细胞中的基因表达谱进行了表征和比较。鉴定出多个在雄激素非依赖进展过程中表现出差异表达的基因。在雄激素非依赖细胞中上调的重要基因包括PCDH7、TPTE、TSPY、EPHA3、HGF、MET、EGF、TEM8等,而许多候选肿瘤抑制基因(HTATIP2、CDKN2A、CDKN2B、CDKN1C、TP53、TP73、ICAM1、SOCS1/2、SPRY2、PPP2CA、PPP3CA等)表达降低。通路预测分析确定了与生长促进和凋亡信号相关的重要基因网络,这些网络在雄激素非依赖进展过程中受到干扰。对其中一个基因PPP2CA的进一步研究表明,该基因编码丝氨酸磷酸酶PP2A的催化亚基,是一种有效的肿瘤抑制因子,与相邻正常/良性组织相比,其在前列腺癌中的表达降低。此外,PPP2CA的下调表达与肿瘤分期和 Gleason分级显著相关。对已鉴定出的差异表达基因和信号通路的未来研究可能有助于理解前列腺癌进展的生物学机制,并有望用于开发新的预后生物标志物以及治疗雄激素难治性前列腺癌。