Molecular analyses of prostate tumors for diagnosis of malignancy on fine-needle aspiration biopsies
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Menglin Shan1,*, Qianlin Xia1,*, Dong Yan2,*, Yanjun Zhu3,*, Xuan Zhang1, Guihong Zhang1, Jianming Guo3, Jun Hou4, Weiping Chen5, Tongyu Zhu1, Xiaoyan Zhang1, Jianqing Xu1, Jin Wang1, Tao Ding6 and Jianghua Zheng1,7
1Shanghai Public Health Clinical Center, Fudan University, Jinshan, Shanghai, P.R. China
2Department of Medical Oncology, Beijing Chaoyang Hospital Affiliated to Capital Medical University, Beijing, P.R. China
3Department of Urology, Zhongshan Hospital, Fudan University, Yangpu, Shanghai, P.R. China
4Pathology, Zhongshan Hospital, Fudan University, Yangpu, Shanghai, P.R. China
5Genomics Core, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
6Department of Urology, The Sixth People’s Hospital South Campus, Shanghai Jiao Tong University, Fengxian, Shanghai, P.R. China
7Department of Laboratory Medicine, Zhoupu Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Pudong New Area, Shanghai, P.R. China
*These authors contributed equally to this work
Jin Wang, email: email@example.com
Tao Ding, email: firstname.lastname@example.org
Jianghua Zheng, email: email@example.com
Keywords: prostate cancer; fine-needle aspiration; gene expression profiling; pathway analysis
Received: June 12, 2017 Accepted: October 15, 2017 Published: November 06, 2017
Prostate cancer (PCa) is a common cancer and remains the second-leading cause of cancer-associated mortality in men, but diagnosis of PCa remains a main clinical challenge. To investigate the involvement of differentially expressing genes in PCa with deregulated pathways to allow earlier diagnosis of the disease, transcriptomic analyses of differential expression genes in fine-needle aspiration (FNA) biopsies helped to discriminate PCa from benign prostatic hyperplasia (BPH). We identified 255 genes that were deregulated in prostate tumors compared with BPH tissues. qRT-PCR was conducted to examine the expression levels of the four genes in FNA biopsies and confirmed that ITGBL1 was significantly up-regulated and HOXA7, KRT15 and TGM4 were down-regulated in the PCa compared to the BPH, with a sensitivity of 87.1% and a specificity of 87.8%; the area under the receiver operating characteristic curve was estimated at 0.94, which was significantly improved compared with PSA alone (AUC = 0.82). Moreover, the increased expression of ITGBL1 correlated with total cholesterol, triglyceride and PSA. Our results demonstrated that transcriptomic analyses in FNA biopsies could facilitate rapid identification of potential targets for therapy and diagnosis of PCa.
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