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Molecular analyses of prostate tumors for diagnosis of malignancy on fine-needle aspiration biopsies

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 o...

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Autores principales: Shan, Menglin, Xia, Qianlin, Yan, Dong, Zhu, Yanjun, Zhang, Xuan, Zhang, Guihong, Guo, Jianming, Hou, Jun, Chen, Weiping, Zhu, Tongyu, Zhang, Xiaoyan, Xu, Jianqing, Wang, Jin, Ding, Tao, Zheng, Jianghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5739598/
https://www.ncbi.nlm.nih.gov/pubmed/29285211
http://dx.doi.org/10.18632/oncotarget.22289
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author Shan, Menglin
Xia, Qianlin
Yan, Dong
Zhu, Yanjun
Zhang, Xuan
Zhang, Guihong
Guo, Jianming
Hou, Jun
Chen, Weiping
Zhu, Tongyu
Zhang, Xiaoyan
Xu, Jianqing
Wang, Jin
Ding, Tao
Zheng, Jianghua
author_facet Shan, Menglin
Xia, Qianlin
Yan, Dong
Zhu, Yanjun
Zhang, Xuan
Zhang, Guihong
Guo, Jianming
Hou, Jun
Chen, Weiping
Zhu, Tongyu
Zhang, Xiaoyan
Xu, Jianqing
Wang, Jin
Ding, Tao
Zheng, Jianghua
author_sort Shan, Menglin
collection PubMed
description 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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spelling pubmed-57395982017-12-28 Molecular analyses of prostate tumors for diagnosis of malignancy on fine-needle aspiration biopsies Shan, Menglin Xia, Qianlin Yan, Dong Zhu, Yanjun Zhang, Xuan Zhang, Guihong Guo, Jianming Hou, Jun Chen, Weiping Zhu, Tongyu Zhang, Xiaoyan Xu, Jianqing Wang, Jin Ding, Tao Zheng, Jianghua Oncotarget Research Paper 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. Impact Journals LLC 2017-11-06 /pmc/articles/PMC5739598/ /pubmed/29285211 http://dx.doi.org/10.18632/oncotarget.22289 Text en Copyright: © 2017 Shan et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Research Paper
Shan, Menglin
Xia, Qianlin
Yan, Dong
Zhu, Yanjun
Zhang, Xuan
Zhang, Guihong
Guo, Jianming
Hou, Jun
Chen, Weiping
Zhu, Tongyu
Zhang, Xiaoyan
Xu, Jianqing
Wang, Jin
Ding, Tao
Zheng, Jianghua
Molecular analyses of prostate tumors for diagnosis of malignancy on fine-needle aspiration biopsies
title Molecular analyses of prostate tumors for diagnosis of malignancy on fine-needle aspiration biopsies
title_full Molecular analyses of prostate tumors for diagnosis of malignancy on fine-needle aspiration biopsies
title_fullStr Molecular analyses of prostate tumors for diagnosis of malignancy on fine-needle aspiration biopsies
title_full_unstemmed Molecular analyses of prostate tumors for diagnosis of malignancy on fine-needle aspiration biopsies
title_short Molecular analyses of prostate tumors for diagnosis of malignancy on fine-needle aspiration biopsies
title_sort molecular analyses of prostate tumors for diagnosis of malignancy on fine-needle aspiration biopsies
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5739598/
https://www.ncbi.nlm.nih.gov/pubmed/29285211
http://dx.doi.org/10.18632/oncotarget.22289
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