Ovarian cancer is a leading cause of death from gynecological malignancies. Although the prognosis is quite favorable if detected at an early stage, the vast majority of cases are diagnosed at an advanced stage, when 5-year survival rates are only 30-40%. Most recurrent ovarian tumors are resistant to traditional therapies underscoring the need for new therapeutic options. Theranostic agents, that combine diagnostic and therapeutic capabilities, are being explored to better detect, diagnose and treat ovarian cancer. To minimize morbidity, improve survival rates, and eventually cure patients, new strategies are needed for early detection and for delivering specifically anticancer therapies to tumor sites. In this review we will discuss various molecular imaging modalities and targets that can be used for imaging, therapeutic and theranostic agent development for improved diagnosis and treatment of ovarian cancer.
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http://dx.doi.org/10.3389/fonc.2019.01537 | DOI Listing |
J Med Imaging Radiat Oncol
December 2024
Department of Radiology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.
Characterisation of an indeterminate ovarian mass is important as it guides management and clinical outcomes. Ultrasound is the first-line modality in the assessment of ovarian tumours. When ovarian masses are indeterminate on ultrasound, MRI provides excellent resolution in tissue characterisation and enhancement patterns.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Obstetrics and Gynaecology, West China Second University Hospital, Sichuan University, Chengdu, China.
Background: Mirvetuximab Soravtansine (MIRV) is a promising antibody‒drug conjugate (ADC) that targets folate receptor alpha (FRα), which is overexpressed in several types of solid tumors. In November 2022, MIRV was approved in the USA for the treatment of adult patients with FRα-positive, platinum-resistant epithelial ovarian, fallopian tube or primary peritoneal cancer who received 1-3 prior systemic treatment regimens. Therefore, high-quality evidence for its efficacy and safety in different cancers is urgently needed.
View Article and Find Full Text PDFMethods Protoc
December 2024
Department of Obstetrics and Gynecology, University Hospital, Ludwig-Maximilians-University Munich, 81377 Munich, Germany.
High-grade serous ovarian cancer (HGSOC) remains the most lethal gynecological malignancy, and there is still an unmet medical need to deepen basic research on its origins and mechanisms of progression. Patient-derived organoids of high-grade serous ovarian cancer (HGSOC-PDO) are a powerful model to study the complexity of ovarian cancer as they maintain, in vitro, the mutational profile and cellular architecture of the cancer tissue. Genetic modifications by lentiviral transduction allow novel insights into signaling pathways and the potential identification of biomarkers regarding the evolution of drug resistance.
View Article and Find Full Text PDFMethods Protoc
December 2024
Department of Pathology, Herlev University Hospital, 2730 Herlev, Denmark.
High-quality RNA is crucial in clinical diagnostics and precision medicine. Formalin-fixed and paraffin-embedded (FFPE) tissues pose a challenge due to nucleic acid fragmentation and crosslinking. In this pilot study, various commercially available techniques for extracting RNA from small FFPE samples were compared.
View Article and Find Full Text PDFMetabolites
December 2024
Department of Physiology, College of Korean Medicine, Kyung Hee University, Seoul 02453, Republic of Korea.
Background: Paclitaxel is a widely used anticancer drug for ovarian, lung, breast, and stomach cancers; however, its clinical use is often limited by the side effects of peripheral neuropathy. This study evaluated the effects of () extract and its active metabolite, α-cyperone, on paclitaxel-induced neuropathic pain.
Methods: The oral administration of extract at doses of 500 mg/kg and intraperitoneal administration of α-cyperone at doses of 480 and 800 μg/kg prevented both the development of cold and mechanical pain.
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