• Journal of the korean veterinary medical association
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• v.41 no.12
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• pp.1118-1129
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• 2005

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.5
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• pp.3337-3343
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• 2013

This systematic review was conducted to assess the efficacy and safety of bisphosphonates for prevention and treatment of osteopenia or osteoporosis in men with non-metastatic prostate cancer receiving androgendeprivation therapy. We searched for randomised controlled trials (RCTs) of bisphosphonates compared with placebo from Pubmed, Embase, the Cochrane Library, and ISI - Science Citation Index. Meta-analyses of prespecified outcomes (bone mineral density, fractures, and adverse events) were performed using Review Manager. Ten RCTs with a total patient population of 1,017 were identified. There was generally more improvement in bone mineral density of the lumbar spine for patients who received bisphosphonate treatment than placebo or other medical treatment at 12 months (WMD 6.02,95%CI 5.39 to 6.65). Similar effects were also observed for total hip, trochanter or femoral neck bone mineral density. However, there was no significant reduction in fractures. Fever and gastrointestinal symptoms were the most common adverse events (10.4% vs. 1.2%; 0.10% vs. 0.03%). Currently, our meta-analysis suggested that oral and intravenous bisphosphonates caused a rapid increase in spine and hip or femoral BMD in non-metastatic prostate cancer patients receiving androgen-deprivation therapy. Fever and gastrointestinal symptoms were common with the use of bisphosphonates. These short-term trials (maximum of 12 months) did not show fracture reduction. In future, more efficient performance of higher quality, more rigorous, large sample, long-term randomised controlled trials (>12 months) are needed where outcomes are detailed.

• Tuberculosis and Respiratory Diseases
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• v.46 no.2
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• pp.281-284
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• 1999

The lung is one of the most frequent sites of metastasis for extrathoracic tumors. Certain malignancies show a particular tendency to metastasize to lung, and in 15 to 25% of these cases, lung involvement is the only manifestation of metastatic disease. The most common presentation is the form of multiple bilateral nodules or masses of varying sizes. Lymphangitic metastasis is comprising 6 to 8% of all pulmonary metastasis. A striking variant of parenchymal involvement occures when dyscohesive tumor cells fill alveoli to produce a tumoral pneumonia. Carcinomatous lymphangitis of prostate origin is infrequent and usually carries a poor prognosis, and tumoral pneumonia of it is extremely rare. We report herein a case of prostate carcinoma metastasizing to lung, simulates atypical pneumonia, and disclosed by acute chest illness.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.5
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• pp.3305-3308
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• 2013

Background: The role of inflammation in prostate diseases is suggested by the presence of inflammatory cells within the prostate in benign prostatic hyperplasia (BPH) and prostate cancer (PCa) patients. In addition, bacterial and viral infection may lead to chronic and recurrent inflammation of the prostate. The human papillomaviruses (HPVs) are a family of sexually transmitted viruses which have been implicated in the aetiology of cervical cancer and several other malignancies. This study evaluated the frequency of HPV infection in individuals with prostatic disease in Iran. Materials and Methods: The study included formalin fixed paraffin- embedded tissue samples of 196 primary prostate cases, including 29 PCa and 167 BPH samples. HPV DNA was purified and amplified through MY09/MY11 and GP5+/GP6+ primers with nested PCR. All patients were interviewed using a questionnaire to collect demographic information. Results: Nested PCR showed that HPV DNA was found in 17.2 percent of PCa samples and 4.8 percent of BPH samples (not significant). Conclusions: Our data do not support a significant role of HPV infection in prostatic disease in Iranian patients, but demographic data indicated a probable association between presence of HPV DNA and risk of inflammation in prostate tissue which might lead to prostate carcinoma. Further studies are required to elucidate any roles of HPV infection in prostatic disease.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.24
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• pp.10603-10605
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• 2015

Background: The Prostate cancer is the 2nd most common cancer worldwide for males, and the 5th most common cancer overall, with an estimated 900,000 new cases diagnosed in 2008 (14% of the total in males and 7% of the total overall) aim of this study was to assess some of the most proposed environmental factors influencing the incidence of prostate cancer among Iranian men. Smoking, opioids, occupation and living location were considered as studied risk factors of the prostate cancer in this research. Material and methods: Two groups of affected men with prostate cancer and controls aged 50-75 years referred to medical clinics were subjects in this case-control study. Living and working place, smoking and drug consuming habits were assessed for any associations with prostate cancer. Results: The largest number, of patients, in order, belonged to Tehran, provincial capitals, major industrial cities, small towns and villages, respectively. The disease showed links with smoking and drugs with a significant difference between controls and patients (P value <0.0001). Conclusions: Our recent evidence duplicates previously done researches confirming the serious adverse effects of smoking and drugs on the prostate cancer occurrence in Iranian men. Living place bearings some hazardous behaviors which increases the rate of diseases as well as advanced chance for associated cancers like prostate.

• Journal of Biomedical Engineering Research
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• v.23 no.6
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• pp.467-475
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• 2002

Hyperthermia using transrectal thermal probes has been used for a noninvasive treatment of prostate diseases. However it is known that heating the rectal wall at excessively high temperature can lead to destruction of the rectal mucous membrane. and it is difficult to maintain an optimum temperature over the entire prostate. Thus, a more accurate understanding of the heat transfer mechanism between prostate and hyperthermia system is needed Numerical analysis was performed to investigate how the cold/warm stimulations on the prostate surface affect the temperature distribution in the prostate model. The general purpose software "FLUENT" was used for obtaining a finite volume solution to the unsteady conduction equation and to calculate the time-varying temperature in the prostate. Effects of the warm/cold stimulations and the stimulation frequency on the temperature distribution were simulated. and we visualized how hyperthermia affected the inside of the prostate. It was found that the effect of hyperthermia by using a typical heating method is limited due to the low thermal conductivity of the prostate. Consecutive repetitions of warm and cold stimulations were considered to provide the thermal irritations inside a prostate. The effects of temperature difference and duration of warm/cold stimulations were investigated, and basic data for the optimum period and effective patterns of stimulations were obtained. A simplified bioheat equation was also solved to describe effects of the blood flow on the blood-tissue heat transfer. The effect of blood flow was not dominant compared to that of warm/cold stimulations. These results might be used as data for design of prostate treating probe, prostatic therapy and thermal stimulation effects on the prostate.

• Tuberculosis and Respiratory Diseases
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• v.49 no.4
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• pp.502-507
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• 2000

Carcinoma of the prostate is a common malignancy affecting elderly men. Lung metastasis from prostate cancer occurs frequently, but tumor metastasis to the central bronchi that clinically mimics primary bronchogenic carcinoma are very rare. We report a 73-year old man with endobronchial metastasis from prostatic carcinoma presented with respiratory symptom cough. Diagnosis of tissues taken from materials which were used for bronchoscopic biopsy and prostate biopsy and immunohistochemical staining for prostate specific antigen (PSA) confirmed a case of endobronchial metastasis from prostatic carcinoma. Hormonal therapy (LHRH agonist) was applied to this patient.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.1
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• pp.1-13
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• 2016

The evidence for the existence of a common pathway for health issues in men is presented in this review. Several epidemiological studies have shown that conditions like cardiovascular diseases (CVD), metabolic syndrome, diabetes, lower urinary tract symptom (LUTS), erectile dysfunction (ED), prostate cancer, hypogonadism, depression and suicide can be associated as risk factors for each other. Thus, the risk of CVD is significantly increased in men with metabolic syndrome, ED, hypogonadism, prostate cancer and/or LUTS. In addition, the above mentioned conditions are more prevalent in atherosclerotic patients. In addition, growing evidence indicates that low androgen levels can cause metabolic syndrome. In addition, obesity, dyslipidaemia and diabetes can further reduce androgen levels potentiating their adverse effect. Low testosterone levels are also associated with a higher incidence of aggressive prostate cancer on biopsy and on definitive pathology, and lower probability of abiraterone response in the metastatic setting. Several recent studies point towards diffuse endothelial dysfunction and dysregulated pro-inflammatory state as the biological link between all these disorders. Our current hypothesis is that oxidative stress caused by these dysfunctions explains the pathogenesis of each of these conditions.

• Biomolecules & Therapeutics
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• v.20 no.6
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• pp.556-561
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• 2012

Steroid sulfatase (STS) is responsible for the conversion of estrone sulfate to estrone that can stimulate growth in endocrine-dependent tumors such as prostate cancer. Although STS is considered as a therapeutic target for the estrogen-dependent diseases, cellular function of STS are still not clear. Previously, we found that tumor necrosis factor (TNF)-${\alpha}$ significantly enhances steroid sulfatase expression in PC-3 human prostate cancer cells through PI3K/Akt-dependent pathways. Here, we studied whether bacterial lipopolysaccharides (LPS) which are known to induce TNF-${\alpha}$ may increase STS expression. Treatment with LPS in PC-3 cells induced STS mRNA and protein in concentration- and time-dependent manners. Using luciferase reporter assay, we found that LPS enhanced STS promoter activity. Moreover, STS expression induced by LPS increased PC-3 tumor cell migration determined by wound healing assay. We investigated that LPS induced IL-6 expression and IL-6 increased STS expression. Taken together, these data strongly suggest that LPS induces STS expression through IL-6 pathway in human prostate cancer cells.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.526-538
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• 2021

Machine and deep learning-based models are emerging techniques that are being used to address prediction problems in biomedical data analysis. DNA sequence prediction is a critical problem that has attracted a great deal of attention in the biomedical domain. Machine and deep learning-based models have been shown to provide more accurate results when compared to conventional regression-based models. The prediction of the gene sequence that leads to cancerous diseases, such as prostate cancer, is crucial. Identifying the most important features in a gene sequence is a challenging task. Extracting the components of the gene sequence that can provide an insight into the types of mutation in the gene is of great importance as it will lead to effective drug design and the promotion of the new concept of personalised medicine. In this work, we extracted the exons in the prostate gene sequences that were used in the experiment. We built a Deep Neural Network (DNN) and Bi-directional Long-Short Term Memory (Bi-LSTM) model using a k-mer encoding for the DNA sequence and one-hot encoding for the class label. The models were evaluated using different classification metrics. Our experimental results show that DNN model prediction offers a training accuracy of 99 percent and validation accuracy of 96 percent. The bi-LSTM model also has a training accuracy of 95 percent and validation accuracy of 91 percent.