Ovarian cancer is one of the leading causes of cancer-related deaths in gynecologic malignancies. Over 70 % of ovarian cancer cases are high-grade serous ovarian cancers (HGSC) and have high death rates due to their resistance to chemotherapy. Despite advances in surgical and pharmaceutical therapies, overall survival rates are not good and accurate prediction of prognosis is not easy because of the highly heterogeneous nature of ovarian cancer. To improve patient's prognosis through proper treatment, we present a prognostic prediction model by integrating the high dimensional RNA sequencing data with their clinical data through the following steps: (1) gene filtration, (2) pre-screening, (3) gene marker selection (4) integrated study of selected gene markers and prediction model building. These steps of the prognostic prediction model can be applied to other types of cancer besides ovarian cancer.
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http://dx.doi.org/10.5808/GI.2018.16.4.e32 | DOI Listing |
Biol Reprod
January 2025
Department of Integrative Physiology, Baylor College of Medicine, Houston, TX USA.
The physiological and clinical importance of motile cilia in reproduction is well recognized, however, the specific role they play in transport through the oviduct and how ciliopathies lead to subfertility and infertility is still unclear. The contribution of cilia beating, fluid flow, and smooth muscle contraction to overall progressive transport within the oviduct remains under debate. Therefore, we investigated the role of cilia in the oviduct transport of preimplantation eggs and embryos using a combination of genetic and advanced imaging approaches.
View Article and Find Full Text PDFMed Oncol
January 2025
Department of Medical Biotechnology, School of Advanced Technologies, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Reactive oxygen species (ROS) generated by oxidative stress have emerged as critical factors in the pathophysiology of malignancies. This study investigated the antioxidant and anticancer properties of zinc (Zn), selenium (Se), and silver (Ag) nanoparticles (NPs) against the A2780 human ovarian cancer cell line. Here, the bioinformatics approach was used to determine the top differentially expressed genes associated with oxidative stress.
View Article and Find Full Text PDFJ Cell Biol
February 2025
Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Mono(ADP-ribosyl)ation (MARylation) is emerging as a critical regulator of ribosome function and translation. Herein, we demonstrate that RACK1, an integral component of the ribosome, is MARylated by the mono(ADP-ribosyl) transferase (MART) PARP14 in ovarian cancer cells. MARylation of RACK1 is required for stress granule formation and promotes the colocalization of RACK1 in stress granules with G3BP1, eIF3η, and 40S ribosomal proteins.
View Article and Find Full Text PDFJ Pharm Anal
November 2024
Department of Pharmaceutical Analysis, ISF College of Pharmacy Moga, 142001, Punjab, India.
An optical biosensor is a specialized analytical device that utilizes the principles of optics and light in bimolecular processes. Localized surface plasmon resonance (LSPR) is a phenomenon in the realm of nanophotonics that occurs when metallic nanoparticles (NPs) or nanostructures interact with incident light. Conversely, surface-enhanced Raman spectroscopy (SERS) is an influential analytical technique based on Raman scattering, wherein it amplifies the Raman signals of molecules when they are situated near specific and specially designed nanostructures.
View Article and Find Full Text PDFFront Immunol
December 2024
Sahlgrenska Center for Cancer Research, University of Gothenburg, Gothenburg, Sweden.
Introduction: Ovarian cancer is a lethal disease with low survival rates for women diagnosed in advanced stages. Current cancer immunotherapies are not efficient in ovarian cancer, and there is therefore a significant need for novel treatment options. The β-galactoside-binding lectin, Galectin-3, is involved in different immune processes and has been associated with poor outcome in various cancer diagnoses.
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