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Search Results (13)
  • Open Access


    Dissecting the effects of androgen deprivation therapy on cadherin switching in advanced prostate cancer: A molecular perspective


    Oncology Research, Vol.30, No.3, pp. 137-155, 2022, DOI:10.32604/or.2022.026074

    Abstract Prostate cancer is one of the most often diagnosed malignancies in males and its prevalence is rising in both developed and developing countries. Androgen deprivation therapy has been used as a standard treatment approach for advanced prostate cancer for more than 80 years. The primary aim of androgen deprivation therapy is to decrease circulatory androgen and block androgen signaling. Although a partly remediation is accomplished at the beginning of treatment, some cell populations become refractory to androgen deprivation therapy and continue to metastasize. Recent evidences suggest that androgen deprivation therapy may cause cadherin switching, from E-cadherin to N-cadherin, which is… More >

  • Open Access


    Ferroptosis’s Role in Genitourinary System Cancer

    Chaoying Liu1,#, Xinfeng Yang2,#, Ye Wang2,#, Keyu Wu2, Siqiang Li2, Gailing Wang2, Yun Li2, Chuanfeng Li2, Mingcheng Wang2, Enzhong Li2,*

    Oncologie, Vol.24, No.4, pp. 679-691, 2022, DOI:10.32604/oncologie.2022.025705

    Abstract A cell is the basic unit of life, and death is inevitable for any cell. However, cancer cells that deviate from the normal track can resist death and survive. Ferroptosis is recently discovered as a modulated cell death different from other known forms of cell death in morphology, biochemistry, and genetics. It is characterized by iron-dependent lipid peroxidation regulated by various metabolic pathways. The incidence and mortality of genitourinary system cancer have been increasing recently. Although clinical practice therapy techniques have improved, no plan with a positive prognosis has been identified. For the therapy of cancer, ferroptosis opens up new… More >

  • Open Access


    Prognostic model for prostate cancer based on glycolysis-related genes and non-negative matrix factorization analysis


    BIOCELL, Vol.47, No.2, pp. 339-350, 2023, DOI:10.32604/biocell.2023.023750

    Abstract Background: Establishing an appropriate prognostic model for PCa is essential for its effective treatment. Glycolysis is a vital energy-harvesting mechanism for tumors. Developing a prognostic model for PCa based on glycolysis-related genes is novel and has great potential. Methods: First, gene expression and clinical data of PCa patients were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), and glycolysis-related genes were obtained from the Molecular Signatures Database (MSigDB). Gene enrichment analysis was performed to verify that glycolysis functions were enriched in the genes we obtained, which were used in non-negative matrix factorization (NMF) to identify clusters.… More >

  • Open Access


    The Effect of Oncogene Proteins of Human Papillomaviruses on Apoptosis Pathways in Prostate Cancer

    Robabeh Faghani Baladehi1,2, Mohammad Yousef Memar1, Abolfazl Jafari Sales3, Ahad Bazmani1,4, Javid Sadri Nahand1,5,6, Parisa Shiri Aghbash2,7, Hossein Bannazadeh Baghi1,2,7,*

    Oncologie, Vol.24, No.2, pp. 227-245, 2022, DOI:10.32604/oncologie.2022.020648

    Abstract The ability of host cells to activate apoptosis is perhaps the most potent weapon for helping cells eliminate viruses. Human papillomaviruses (HPV) activate several pathways, enabling the infected cells to avoid extrinsic and intrinsic apoptosis pathways. The incapacity of prostatic epithelial cells to induce apoptosis leads to the invasive development of prostate cancer. For the pathogenesis of prostate cancer, several risk factors have been reported; for example, some viruses and infectious diseases have been proposed as causative agents for their relation to prostate diseases. According to several studies, high-risk human papillomaviruses cause malignancy by interfering with the apoptotic and inflammatory… More >

  • Open Access


    miR-615 Inhibits Prostate Cancer Cell Proliferation and Invasion by Directly Targeting Cyclin D2

    Fengyu Huang*†, Hongjun Zhao, Zhaojin Du, Hong Jiang§

    Oncology Research, Vol.27, No.3, pp. 293-299, 2019, DOI:10.3727/096504018X15190399381143

    Abstract Previous studies have reported that miR-615 exerts a tumor suppressor role in some tumors, such as esophageal squamous cell carcinoma and non-small cell lung cancer. However, the role of miR-615 in prostate cancer has not been defined. Here we found that miR-615 was downregulated in prostate cancer tissues and cell lines. Overexpression of miR-615 in PC-3 cells significantly inhibited cellular proliferation, migration, and invasion. Moreover, overexpression of miR-615 delayed tumor growth in vivo. In terms of mechanism, we found that cyclin D2 (CCND2) is a target gene of miR-615 in prostate cancer. We showed that miR-615 could bind to the… More >

  • Open Access


    Role of PTX3 and complement modulation in the tumor microenvironment


    BIOCELL, Vol.46, No.10, pp. 2235-2239, 2022, DOI:10.32604/biocell.2022.020209

    Abstract Pentraxin-3 (PTX3), the prototype of long pentraxins, seems to influence complement system (CS) modulation. PTX3 and CS sustain carcinogenesis, enriching tumor microenvironment (TME) with pro-inflammatory molecules promoting angiogenesis in prostate cancer (PC) and renal cell carcinoma (RCC). Furthermore, cancer cells overexpress complement regulatory proteins, such as CD46, CD55 and CD59, which negatively affect complement pathways for support cancer cells survival. This viewpoint aims to elucidate the ambivalent role of PTX3 and the CS in the context of tumor microenvironment (TME). More >

  • Open Access


    Artificial Intelligence Based Prostate Cancer Classification Model Using Biomedical Images

    Areej A. Malibari1, Reem Alshahrani2, Fahd N. Al-Wesabi3,*, Siwar Ben Haj Hassine3, Mimouna Abdullah Alkhonaini4, Anwer Mustafa Hilal5

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3799-3813, 2022, DOI:10.32604/cmc.2022.026131

    Abstract Medical image processing becomes a hot research topic in healthcare sector for effective decision making and diagnoses of diseases. Magnetic resonance imaging (MRI) is a widely utilized tool for the classification and detection of prostate cancer. Since the manual screening process of prostate cancer is difficult, automated diagnostic methods become essential. This study develops a novel Deep Learning based Prostate Cancer Classification (DTL-PSCC) model using MRI images. The presented DTL-PSCC technique encompasses EfficientNet based feature extractor for the generation of a set of feature vectors. In addition, the fuzzy k-nearest neighbour (FKNN) model is utilized for classification process where the… More >

  • Open Access


    KIFC1 overexpression promotes prostate cancer cell survival and proliferation in vitro by clustering of amplified centrosomes via interaction with Centrin 2


    BIOCELL, Vol.45, No.5, pp. 1369-1391, 2021, DOI:10.32604/biocell.2021.016654

    Abstract Mitotic kinesin KIFC1 plays critical roles in mitosis by regulating the spindle length, pole formation, and known for clustering extra centrosomes in cancer cells. Centrosome clustering is associated with the survival of cancer cells, but this phenomenon remains obscure in prostate cancer (PCa). The present study demonstrated that PCa cells showed centrosome amplification and clustering during interphase and mitosis, respectively. KIFC1 is highly expressed in PCa cells and tumor tissues of prostatic adenocarcinoma (PAC) patients. Up-regulation of KIFC1 facilitated the PCa cell survival in vitro by ensuring bipolar mitosis through clustering the multiple centrosomes, suggesting centrosome clustering could be a… More >

  • Open Access


    Machine Learning Techniques Applied to Electronic Healthcare Records to Predict Cancer Patient Survivability

    Ornela Bardhi1,2,*, Begonya Garcia Zapirain1

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1595-1613, 2021, DOI:10.32604/cmc.2021.015326

    Abstract Breast cancer (BCa) and prostate cancer (PCa) are the two most common types of cancer. Various factors play a role in these cancers, and discovering the most important ones might help patients live longer, better lives. This study aims to determine the variables that most affect patient survivability, and how the use of different machine learning algorithms can assist in such predictions. The AURIA database was used, which contains electronic healthcare records (EHRs) of 20,006 individual patients diagnosed with either breast or prostate cancer in a particular region in Finland. In total, there were 178 features for BCa and 143… More >

  • Open Access


    Comparison of Amino Acid Metabolisms in Normal Prostate (PNT-1A) and Cancer Cells (PC-3)

    Erkan Arslan1,*, Ismail Koyuncu2

    Oncologie, Vol.23, No.1, pp. 105-117, 2021, DOI:10.32604/Oncologie.2021.014764

    Abstract Prostate cancer is the second most common cancer in men. Prostate-specific antigen (PSA) levels, commonly used in the diagnosis of prostate cancer, are increased in both malign and benign conditions, such as prostate hyperplasia (BPH) and prostatitis. Thus, more specific markers are urgently needed to discriminate between prostate cancer and benign diseases of the prostate. The purpose of this study is to examine both the intracellular and extracellular free amino acid profiles of metastatic prostate cancer cells (PC-3), normal prostate cells (PNT-1A), and metabolic changes (e.g., pH). In this study, cancer and normal cells were incubated in the appropriate medium.… More >

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