Kashyap Vaishali, Bonavida Benjamin
Department of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine, Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, California.
Genes Cancer. 2014 Mar;5(3-4):71-83. doi: 10.18632/genesandcancer.12.
Current treatments of various cancers include chemotherapy, radiation, surgery, immunotherapy, and combinations. However, there is a need to develop novel diagnostic and therapeutic treatments for unresponsive patients. These may be achieved by the identification of novel diagnostic and prognostic biomarkers which will help in the stratification of patients' initial responses to particular treatments and circumvent resistance, relapses, metastasis, and death. We have been investigating human prostate cancer as a model tumor. We have identified Yin Yang 1 (YY1), a dysregulated transcription factor, whose overexpression correlated with tumor progression as well as in the regulation of drug resistance and the development of EMT. YY1 expression is upregulated in human prostate cancer cell lines and tissues. We postulated that YY1 may be a potential biomarker in prostate cancer for patients' stratification as well as a novel target for therapeutic intervention. We used Bioinformatic gene RNA array datasets for the expression of YY1 in prostate tumor tissues as compared to normal tissues. Interestingly, variations on the expression levels of YY1 mRNA in prostate cancer were reported by different investigators. This mini review summarizes the current reported studies and Bioinformatic analyses on the role of YY1 in the pathogenesis of prostate cancer.
目前,各种癌症的治疗方法包括化疗、放疗、手术、免疫疗法以及联合治疗。然而,对于无反应的患者,仍需要开发新的诊断和治疗方法。这可以通过鉴定新的诊断和预后生物标志物来实现,这些生物标志物将有助于对患者对特定治疗的初始反应进行分层,并规避耐药性、复发、转移和死亡。我们一直在研究人类前列腺癌作为模型肿瘤。我们已经鉴定出阴阳1(YY1),一种失调的转录因子,其过表达与肿瘤进展以及耐药性调节和上皮-间质转化(EMT)的发生相关。YY1在人类前列腺癌细胞系和组织中表达上调。我们推测YY1可能是前列腺癌患者分层的潜在生物标志物,也是治疗干预的新靶点。我们使用生物信息学基因RNA阵列数据集来比较前列腺肿瘤组织与正常组织中YY1的表达。有趣的是,不同研究者报道了前列腺癌中YY1 mRNA表达水平的差异。这篇综述总结了目前关于YY1在前列腺癌发病机制中作用的报道研究和生物信息学分析。