Molecular urology最新文献

{"title":"Neural computation in urology: an orientation.","authors":"C. Niederberger","doi":"10.1089/10915360152745795","DOIUrl":"https://doi.org/10.1089/10915360152745795","url":null,"abstract":"Neural computation is a field in which mathematical models are derived from algorithms based loosely on the physiological function of the biological neuron. This paper serves as an introduction to those that follow in this issue of Molecular Urology, which describe actual applications of neural computational modeling in the urologic domain. In this introductory paper, the history of computer technology and the foundations of neural computation are discussed. Methods of determining the accuracy of computation models are reviewed, and a statistical method of evaluating the significance of individual input features to the model's output, a process known as \"feature extraction,\" is presented. Resources that provide free and commercial neural computational programs are cited for those readers interested in applying this technology to their own datasets, and a brief description of the author's neural computational programming environment is included. Finally, deployment of computational models via the Internet and various computer platforms is discussed.","PeriodicalId":80296,"journal":{"name":"Molecular urology","volume":"15 1","pages":"133-9"},"PeriodicalIF":0.0,"publicationDate":"2001-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1089/10915360152745795","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60627255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Farewell and Thank You","authors":"H. Tazaki, W. Fair","doi":"10.1089/10915360152745786","DOIUrl":"https://doi.org/10.1089/10915360152745786","url":null,"abstract":"","PeriodicalId":80296,"journal":{"name":"Molecular urology","volume":"5 1","pages":"131-131"},"PeriodicalIF":0.0,"publicationDate":"2001-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60627142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genetic adaptive neural network to predict biochemical failure after radical prostatectomy: a multi-institutional study.","authors":"Ashutosh Tewari, Mutta Issa, R. El-Galley, H. Stricker, J. Peabody, Julio M. Pow-Sang, Asim Shukla, Zev Wajsman, Mark Rubin, John T. Wei, James Montie, Raymond Demers, Christine C. Johnson, Lois Lamerato, George W. Divine, E. David Crawford, E. Gamito, Riad Farah, Perinchery Narayan, Grant Carlson, M. Menon","doi":"10.1089/10915360152745849","DOIUrl":"https://doi.org/10.1089/10915360152745849","url":null,"abstract":"BACKGROUND AND PURPOSE\u0000Despite many new procedures, radical prostatectomy remains one of the commonest methods of treating clinically localized prostate cancer. Both from the physician's and the patient's point of view, it is important to have objective estimation of the likelihood of recurrence, which forms the foundation for treatment selection for an individual patient. Currently, it is difficult to predict the probability of biochemical recurrence (rising serum prostate specific antigen [PSA] concentration) in an individual patient, and approximately 30% of the patients do experience recurrence. Tools predicting the recurrence will be of immense practical utility in the treatment selection and planning follow up. We have utilized preoperative parameters through a computer based genetic adaptive neural network model to predict recurrence in such patients, which can help primary care physicians and urologists in making management recommendations.\u0000\u0000\u0000PATIENTS AND METHODS\u0000Fourteen hundred patients who underwent radical prostatectomy at participating institutions form the subjects of this study. Demographic data such as age, race, preoperative PSA, systemic biopsy based staging and Gleason scores were used to construct a neural network model. This model simulated the functioning of a trained human mind and learned from the database. Once trained, it was used to predict the outcomes in new patients.\u0000\u0000\u0000RESULTS\u0000The patients in this comprehensive database were representative of the average prostate cancer patients as seen in USA. Their mean age was 68.4 years, the mean PSA concentration before surgery was 11.6 ng/mL, and 67% patients had a Gleason sum of 5 to 7. The mean length of follow-up was 41.5 months. Eighty percent of the cancers were clinical stage T2 and 5% T3. In our series, 64% of patients had pathologically organ-confined cancer, 33% positive margins, and 14% had seminal vesicle invasion. Lymph node positive patients were not included in this series. Progression as judged by serum PSA was noted in 30.6%. With entry of a few routinely used parameters, the model could correctly predict recurrence in 76% of the patients in the validation set. The area under the curve was 0.831. The sensitivity was 85%, the specificity 74%, the positive predictive value 77%, and the negative predictive value of 83%.\u0000\u0000\u0000CONCLUSION\u0000It was possible to predict PSA recurrence with a high accuracy (76%). Physicians desiring objective treatment counseling can use this model, and significant cost savings are anticipated because of appropriate treatment selection and patient-specific follow-up protocols. This technology can be extended to other treatments such as watchful waiting, external-beam radiation, and brachytherapy.","PeriodicalId":80296,"journal":{"name":"Molecular urology","volume":"10 1","pages":"163-9"},"PeriodicalIF":0.0,"publicationDate":"2001-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1089/10915360152745849","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60627345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictive modeling techniques in prostate cancer.","authors":"Ashutosh Tewari, Christopher Porter, J. Peabody, E. David Crawford, Raymond Demers, Christine C. Johnson, John T. Wei, George W. Divine, Colin O'Donnell, E. Gamito, Mani Menon","doi":"10.1089/10915360152745812","DOIUrl":"https://doi.org/10.1089/10915360152745812","url":null,"abstract":"A number of new predictive modeling techniques have emerged in the past several years. These methods can be used independently or in combination with traditional modeling techniques to produce useful tools for the management of prostate cancer. Investigators should be aware of these techniques and avail themselves of their potentially useful properties. This review outlines selected predictive methods that can be used to develop models that may be useful to patients and clinicians for prostate cancer management.","PeriodicalId":80296,"journal":{"name":"Molecular urology","volume":"5 4 1","pages":"147-52"},"PeriodicalIF":0.0,"publicationDate":"2001-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1089/10915360152745812","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60627464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of Cre-loxP system to the urinary tract and cancer gene therapy.","authors":"I. Yoshimura, S. Suzuki, M. Hayakawa","doi":"10.1089/109153601300177600","DOIUrl":"https://doi.org/10.1089/109153601300177600","url":null,"abstract":"The bacteriophage P1-derived Cre-loxP system is a powerful and versatile tool for in vivo DNA recombination. It is widely used in gene targeting research. The combination of the Cre-loxP system and a specific promoter enables conditional \"knockout\" of a target gene in a particular tissue or cell type. It has also made it possible to delete genes in adult animals that are essential for embryogenesis. This system is also used to enhance tissue- or tumor-specific promoter activities that are useful for gene therapy of certain types of cancer. It is expected that this simple and effective system will be further utilized in various research applications.","PeriodicalId":80296,"journal":{"name":"Molecular urology","volume":"5 2 1","pages":"81-4"},"PeriodicalIF":0.0,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1089/109153601300177600","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60626660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improvements in gene therapy technologies.","authors":"Y. Kaneda","doi":"10.1089/109153601300177619","DOIUrl":"https://doi.org/10.1089/109153601300177619","url":null,"abstract":"We have combined hemagglutinating virus of Japan (HVJ; Sendai virus) with liposomes for efficient in vitro and in vivo fusion-mediated gene delivery. The HVJ-liposome was a highly efficient vehicle for the introduction of oligonucleotides into cells in vivo as well as for the transfer of genes <100 kbp without damaging cells. By coupling the Epstein-Barr (EB) virus replicon apparatus with HVJ-liposomes (virosomes), transgene expression was sustained in vitro and in vivo. When we added cationic lipids, the HVJ-cationic liposomes increased gene delivery 100 to 800 times in vitro compared with the conventional anionic virosomes and were also more useful for gene expression in restricted areas of organs and for gene therapy of disseminated cancers. We further discovered that the use of anionic virosomes with a virus-mimicking lipid composition (artificial viral envelope; AVE type) increased transfection efficiency approximately 10 fold in vivo, especially in the heart, liver, kidney, and muscle. Most animal organs were found to be suitable targets for the fusigenic virosomes, and numerous gene therapy strategies using this system were successful in animals. The combination of suicide gene therapy with radiation was very effective for killing hepatomas in a mouse model. Arteriosclerosis obliterans in animal models was cured by the transfer of hepatocyte growth factor.","PeriodicalId":80296,"journal":{"name":"Molecular urology","volume":"63 1","pages":"85-9"},"PeriodicalIF":0.0,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1089/109153601300177619","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60626712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Loss of mitochondrial DNA in rabbit bladder smooth muscle following partial outlet obstruction results from lack of organellar DNA replication.","authors":"Zhao Wang, Xingyao Wu, Robert M. Levin, Alan P. Hudson","doi":"10.1089/10915360152559576","DOIUrl":"https://doi.org/10.1089/10915360152559576","url":null,"abstract":"When the rabbit bladder outlet is partially obstructed, the relative amount of mitochondrial (mt) DNA per cell in bladder smooth muscle falls rapidly. In order to assess whether this loss of organellar genome results from attenuation of mt DNA replication, we cloned portions of rabbit genes specifying the single-strand binding (SSB) protein required for initiation of mt DNA replication, and the catalytic subunit of DNA polymerase gamma (pol gamma), the replication enzyme itself. We then designed primer-probe systems for real-time RT-PCR (TaqMan) analyses for each gene. These were used to assess mRNA in preparations from bladder smooth muscle and mucosa from rabbits subjected to surgical obstruction of the bladder outlet for up to 14 days. mRNA from the pol gamma gene remained essentially at control level in smooth muscle and mucosa in all samples. In mucosa, mRNA from the SSB protein gene remained virtually at control levels in all samples, as did mt genome copy number. In smooth muscle, however, levels of this mRNA declined by >95% within 3 days of obstruction and remained at that level through 14 days; this attenuation of SSB protein mRNA paralleled the loss of mt DNA in the same smooth muscle samples. Thus, lack of mt SSB protein, and consequently attenuated mt DNA replication, is a primary factor in the loss of mt genome copies in bladder smooth muscle after outlet obstruction in the rabbit model of benign bladder dysfunction.","PeriodicalId":80296,"journal":{"name":"Molecular urology","volume":"5 3 1","pages":"99-104"},"PeriodicalIF":0.0,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1089/10915360152559576","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60626863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Computer-assisted diagnostics: application to prostate cancer.","authors":"R. Babaian, Z. Zhang","doi":"10.1089/10915360152745867","DOIUrl":"https://doi.org/10.1089/10915360152745867","url":null,"abstract":"Artificial neural networks (ANNs) have only recently been applied to solve problems in the diagnosis, staging, and prediction of treatment outcome in prostate cancer. A literature search provided information on 10 published journal articles that were selected for review and analysis. In all but one of the studies that compared the ANN output with logistic regression modeling, the ANN performed better. Specific training issues for neural networks are discussed and examples provided. We conclude that the continued development and refinement of computer-assisted diagnostic methodology are warranted to enhance conventional statistical approaches to the classification and pattern recognition found in data sets from men either suspected of having or known to have prostate cancer.","PeriodicalId":80296,"journal":{"name":"Molecular urology","volume":"5 4 1","pages":"175-80"},"PeriodicalIF":0.0,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1089/10915360152745867","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60627789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prognostic significance of immuno-proteosome subunit expression in patients with renal-cell carcinoma: a preliminary study.","authors":"Y. Murakami, K. Kanda, K. Yokota, H. Kanayama, S. Kagawa","doi":"10.1089/10915360152559594","DOIUrl":"https://doi.org/10.1089/10915360152559594","url":null,"abstract":"Our purpose was to elucidate the clinical roles of the \"immuno-proteosome,\" which is involved in the accelerated pathway of the major histocompatibility complex (MHC) class I-restricted antigen presentation system, in renal cell carcinoma (RCC). The relative expression of six proteosome subunits (existing subunits X, Y, and Z and immunoproteosome subunits LMP7, LMP2, and MECL1) in 54 RCCs was investigated using RT-PCR analysis and was compared with clinicopathological measures, including patient outcome. Expression of the LMP7 and LMP2 genes was significantly low in high-grade tumors, and that of the LMP7 and MECL1 genes was significantly low in high-stage tumors. Low levels of LMP7, LMP2, and MECL1 expression were strongly associated with shortened survival (LMP7: P = 0.0002, LMP2: P < 0.0001, MECL1: P < 0.0047). The levels of subunits X, Y, and Z had no significant correlation with those measures. These findings suggest that RCCs with low level of immuno-proteosome subunit expression have a disorder in their antigen-presentation system. As a consequence, they may escape from immune surveillance and worsen patient outcome.","PeriodicalId":80296,"journal":{"name":"Molecular urology","volume":"5 3 1","pages":"113-9"},"PeriodicalIF":0.0,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1089/10915360152559594","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60626989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Antitumor effect of reduction of 150-kDa oxygen-regulated protein expression in human prostate cancer cells.","authors":"T. Miyagi, O. Hori, M. Egawa, H. Kato, Y. Kitagawa, H. Konaka, K. Ozawa, K. Koshida, T. Uchibayashi, S. Ogawa, M. Namiki","doi":"10.1089/109153601300177592","DOIUrl":"https://doi.org/10.1089/109153601300177592","url":null,"abstract":"Heat shock proteins (HSPs)/stress proteins are molecular chaperones that are induced by various environmental and physiological stimuli. Evidence of the relations between the expression of HSPs and the regulation of cell growth or transformation has accumulated. The 150-kDa oxygen-regulated protein (ORP150), a new member of HSP family, functions as a molecular chaperone in the endoplasmic reticulum. We have examined whether transduced antisense ORP150 cDNA reduces tumorigenicity and angiogenicity. Relations between these stress proteins and cancer and possibilities for anticancer gene therapy are described.","PeriodicalId":80296,"journal":{"name":"Molecular urology","volume":"5 2 1","pages":"79-80"},"PeriodicalIF":0.0,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1089/109153601300177592","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60627091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}