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  1. Article

    Open Access

    High throughput, label-free isolation of circulating tumor cell clusters in meshed microwells

    Extremely rare circulating tumor cell (CTC) clusters are both increasingly appreciated as highly metastatic precursors and virtually unexplored. Technologies are primarily designed to detect single CTCs and of...

    Mert Boya, Tevhide Ozkaya-Ahmadov, Brandi E. Swain, Chia-Heng Chu in Nature Communications (2022)

  2. Article

    Open Access

    Label-free microfluidic enrichment of cancer cells from non-cancer cells in ascites

    The isolation of a patient's metastatic cancer cells is the first, enabling step toward treatment of that patient using modern personalized medicine techniques. Whereas traditional standard-of-care approaches ...

    Nicholas E. Stone, Abhishek Raj, Katherine M. Young, Adam P. DeLuca in Scientific Reports (2021)

  3. No Access

    Chapter

    Ovarian Cancer in Pregnancy

    Ovarian cancer is extremely rare in pregnancy, but should be always considered when complex cysts are present and persist, especially when ascites and extra-ovarian nodularity are present. While epithelial can...

    Benedict B. Benigno in Non-Obstetric Surgery During Pregnancy (2019)

  4. Article

    Open Access

    Machine learning predicts individual cancer patient responses to therapeutic drugs with high accuracy

    Precision or personalized cancer medicine is a clinical approach that strives to customize therapies based upon the genomic profiles of individual patient tumors. Machine learning (ML) is a computational metho...

    Cai Huang, Evan A. Clayton, Lilya V. Matyunina, L. DeEtte McDonald in Scientific Reports (2018)

  5. Article

    Open Access

    Evidence for the importance of post-transcriptional regulatory changes in ovarian cancer progression and the contribution of miRNAs

    High-throughput technologies have identified significant changes in patterns of mRNA expression over cancer development but the functional significance of these changes often rests upon the assumption that obs...

    Mengnan Zhang, Lilya V. Matyunina, L. DeEtte Walker, Weixuan Chen in Scientific Reports (2017)

  6. 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)

  7. Article

    Open Access

    Transcriptional override: a regulatory network model of indirect responses to modulations in microRNA expression

    Documented changes in levels of microRNAs (miRNA) in a variety of diseases including cancer are leading to their development as early indicators of disease, and as a potential new class of therapeutic agents. ...

    Christopher G Hill, Lilya V Matyunina, DeEtte Walker in BMC Systems Biology (2014)

  8. Article

    Open Access

    Molecular profiling supports the role of epithelial-to-mesenchymal transition (EMT) in ovarian cancer metastasis

    While metastasis ranks among the most lethal of all cancer-associated processes, on the molecular level, it remains one of the least well understood. One model that has gained credibility in recent years is th...

    Loukia N Lili, Lilya V Matyunina, L DeEtte Walker in Journal of Ovarian Research (2013)

  9. Article

    Open Access

    Gene expression profiling supports the hypothesis that human ovarian surface epithelia are multipotent and capable of serving as ovarian cancer initiating cells

    Accumulating evidence suggests that somatic stem cells undergo mutagenic transformation into cancer initiating cells. The serous subtype of ovarian adenocarcinoma in humans has been hypothesized to arise from ...

    Nathan J Bowen, L DeEtte Walker, Lilya V Matyunina, Sanjay Logani in BMC Medical Genomics (2009)

  10. Article

    Open Access

    Ovarian cancer detection from metabolomic liquid chromatography/mass spectrometry data by support vector machines

    The majority of ovarian cancer biomarker discovery efforts focus on the identification of proteins that can improve the predictive power of presently available diagnostic tests. We here show that metabolomics,...

    Wei Guan, Manshui Zhou, Christina Y Hampton, Benedict B Benigno in BMC Bioinformatics (2009)

  11. Article

    Open Access

    Aurora kinase inhibitors synergize with paclitaxel to induce apoptosis in ovarian cancer cells

    A large percentage of patients with recurrent ovarian cancer develop resistance to the taxane class of chemotherapeutics. While mechanisms of resistance are being discovered, novel treatment options and a bett...

    Christopher D Scharer, Noelani Laycock in Journal of Translational Medicine (2008)

  12. Article

    Open Access

    Epigenetic changes within the promoter region of the HLA-G gene in ovarian tumors

    Previous findings have suggested that epigenetic-mediated HLA-G expression in tumor cells may be associated with resistance to host immunosurveillance. To explore the potential role of DNA methylation on HLA-G ex...

    Laura Menendez, L DeEtte Walker, Lilya V Matyunina, Kimberly A Totten in Molecular Cancer (2008)

  13. Article

    Open Access

    Identification of candidate methylation-responsive genes in ovarian cancer

    Aberrant methylation of gene promoter regions has been linked to changes in gene expression in cancer development and progression. Genes associated with CpG islands (CGIs) are especially prone to methylation, ...

    Laura Menendez, DeEtte Walker, Lilya V Matyunina, Erin B Dickerson in Molecular Cancer (2007)

  14. Article

    Open Access

    L1 and HERV-W retrotransposons are hypomethylated in human ovarian carcinomas

    Wide-spread hypomethylation of CpG dinucleotides is characteristic of many cancers. Retrotransposons have been identified as potential targets of hypomethylation during cellular transformation. We report the r...

    Laura Menendez, Benedict B Benigno, John F McDonald in Molecular Cancer (2004)