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Hormone receptor status of contralateral breast cancers: analysis of data from the US SEER population-based registries

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  1. Article

    Open Access

    Microfluidic cell sorting by stiffness to examine heterogenic responses of cancer cells to chemotherapy

    Cancers consist of a heterogeneous populations of cells that may respond differently to treatment through drug-resistant sub-populations. The scarcity of these resistant sub-populations makes it challenging to...

    Muhymin Islam, Roman Mezencev, Brynn McFarland, Hannah Brink in Cell Death & Disease (2018)

  2. Article

    Open Access

    Targeted in vivo delivery of EGFR siRNA inhibits ovarian cancer growth and enhances drug sensitivity

    A functionalized nanohydrogel siRNA delivery system and a mouse model of serous ovarian cancer were used to test predictions from previous cell line studies that knockdown of EGFR (epidermal growth factor rece...

    Minati Satpathy, Roman Mezencev, Lijuan Wang, John F. McDonald in Scientific Reports (2016)

  3. Article

    Open Access

    Human papillomavirus infection and p16 expression in the immunocompetent patients with extragenital/extraungual Bowen’s disease

    The role of human papillomaviruses (HPV) in the development of squamous cell carcinoma (SCC) has been established for anogenital lesions but still remains controversial for carcinomas in other sites. The aim o...

    Marián Švajdler Jr, Roman Mezencev, Jana Kašpírková in Diagnostic Pathology (2016)

  4. Article

    Open Access

    Snail-induced epithelial-to-mesenchymal transition of MCF-7 breast cancer cells: systems analysis of molecular changes and their effect on radiation and drug sensitivity

    Epithelial-to-mesenchymal transition (EMT) has been associated with the acquisition of metastatic potential and the resistance of cancer cells to therapeutic treatments. MCF-7 breast cancer cells engineered to co...

    Roman Mezencev, Lilya V. Matyunina, Neda Jabbari, John F. McDonald in BMC Cancer (2016)

  5. Article

    Open Access

    Highly-accurate metabolomic detection of early-stage ovarian cancer

    High performance mass spectrometry was employed to interrogate the serum metabolome of early-stage ovarian cancer (OC) patients and age-matched control women. The resulting spectral features were used to estab...

    David A. Gaul, Roman Mezencev, Tran Q. Long, Christina M. Jones in Scientific Reports (2015)

  6. Article

    Open Access

    Identification of inhibitors of ovarian cancer stem-like cells by high-throughput screening

    Ovarian cancer stem cells are characterized by self-renewal capacity, ability to differentiate into distinct lineages, as well as higher invasiveness and resistance to many anticancer agents. Since they may be...

    Roman Mezencev, Lijuan Wang, John F McDonald in Journal of Ovarian Research (2012)

  7. Article

    Open Access

    The effects of MicroRNA transfections on global patterns of gene expression in ovarian cancer cells are functionally coordinated

    MicroRNAs (miRNAs) are a class of small RNAs that have been linked to a number of diseases including cancer. The potential application of miRNAs in the diagnostics and therapeutics of ovarian and other cancers...

    Shubin W Shahab, Lilya V Matyunina, Christopher G Hill, Lijuan Wang in BMC Medical Genomics (2012)

  8. Article

    Open Access

    Identification of metabolites with anticancer properties by computational metabolomics

    Certain endogenous metabolites can influence the rate of cancer cell growth. For example, diacylglycerol, ceramides and sphingosine, NAD+ and arginine exert this effect by acting as signaling molecules, while car...

    Adrian K Arakaki, Roman Mezencev, Nathan J Bowen, Ying Huang in Molecular Cancer (2008)