In terms of the concept of 'drug repurposing', we focused on pharmaceutical-grade Bithionol (BT) as a therapeutic agent against ovarian cancer. Our recent in-vitro study provides preclinical data suggesting a potential therapeutic role for BT against recurrent ovarian cancer. BT was shown to cause cell death by caspases-mediated apoptosis. The present preliminary study further explores the antitumor potential of pharmaceutical-grade BT in an in-vivo xenograft model of human ovarian cancer. Nude Foxn1 mice bearing SKOV-3 human ovarian tumor xenografts were treated with titrated doses of BT and the therapeutic efficacy of pharmaceutical BT was determined using bioluminescence imaging. BT-induced changes in cell proliferation and apoptosis were evaluated by Ki-67 immunochemical staining and TUNEL assay. The effect of BT on autotaxin levels in serum, ascitic fluid, and tumor tissue was assessed by colorimetric and western blot techniques. BT treatment did not show antitumor potential or enhanced survival time at any of the doses tested. No apparent signs of toxicity were observed with any of the doses tested. Immunohistological analysis of tumor sections did not indicate a significant decrease in cellular proliferation (Ki-67 assay). An increase in apoptosis (by TUNEL assay) was observed in all BT-treated mice compared with vehicle-treated mice. Although BT did not show significant antitumor activity in the present study, the ability of BT to induce apoptosis still makes it a promising therapeutic agent. Further confirmatory and optimization studies are essential to enhance the therapeutic effects of BT.
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http://dx.doi.org/10.1097/CAD.0000000000000364 | DOI Listing |
Biometrics
January 2025
Department of Biostatistics, University of Michigan at Ann Arbor, Ann Arbor, MI 48109, United States.
Graphical models are powerful tools to investigate complex dependency structures in high-throughput datasets. However, most existing graphical models make one of two canonical assumptions: (i) a homogeneous graph with a common network for all subjects or (ii) an assumption of normality, especially in the context of Gaussian graphical models. Both assumptions are restrictive and can fail to hold in certain applications such as proteomic networks in cancer.
View Article and Find Full Text PDFJ Thorac Oncol
January 2025
Department of General Internal Medicine and Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Hypothesis: To evaluate how comorbidities affect mortality benefits of lung cancer screening (LCS) with low-dose computed-tomography (LDCT).
Methods: We developed a comorbidity index (PLCO-ci) using LCS-eligible participants' data from the Prostate Lung Colorectal and Ovarian (PLCO) trial (training set) and the National Lung Screening Trial (NLST) (validation set). PLCO-ci predicts 5-year non-lung cancer (LC) mortality using a regularized Cox model; with performance evaluated by the area under the ROC curve (ROC).
Med Image Anal
January 2025
Nuffield Department of Medicine, University of Oxford, Oxford, UK; Department of Engineering Science, University of Oxford, Oxford, UK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK; Ludwig Institute for Cancer Research, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK; Oxford National Institute for Health Research (NIHR) Biomedical Research Centre, Oxford, UK. Electronic address:
Predicting disease-related molecular traits from histomorphology brings great opportunities for precision medicine. Despite the rich information present in histopathological images, extracting fine-grained molecular features from standard whole slide images (WSI) is non-trivial. The task is further complicated by the lack of annotations for subtyping and contextual histomorphological features that might span multiple scales.
View Article and Find Full Text PDFPhytomedicine
January 2025
School of Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China. Electronic address:
Background: Melittin, a major peptide component of bee venom, has demonstrated promising anti-cancer activity across various preclinical cell models, making it a potential candidate for cancer therapy. However, its molecular mechanisms, particularly in ovarian cancer, remain largely unexplored. Ovarian cancer is a life-threatening gynecological malignancy with poor clinical outcomes and limited treatment options.
View Article and Find Full Text PDFEur Radiol
January 2025
Department of Radiology, Montpellier Research Center Institute, PINKCC Laboratory, Montpellier, France.
Objective: To provide up-to-date European Society of Urogenital Radiology (ESUR) guidelines for staging and follow-up of patients with ovarian cancer (OC).
Methods: Twenty-one experts, members of the female pelvis imaging ESUR subcommittee from 19 institutions, replied to 2 rounds of questionnaires regarding imaging techniques and structured reporting used for pre-treatment evaluation of OC patients. The results of the survey were presented to the other authors during the group's annual meeting.
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