Using genetic predictors of CA125 to improve personalized ovarian cancer screening Most ovarian cancer cases are currently diagnosed at late stage when less than half of the women will live five years after their diagnosis. In contrast, ovarian cancer cases diagnosed at an early stage have more than 90% living after five years from diagnosis. […]
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T. Rinda Soong, MD, PhDUniversity of Pittsburgh2020 Scientific Scholar Award Early Serous Tubal Proliferations as Alternate Precursors of High-Grade Serous Carcinoma Identifying the origins of high grade serous ovarian cancer can help us understand how to prevent this disease or detect it at earlier, more treatable stages. Precancerous changes in fallopian tube tissue known as […]
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Amelie Margarete Lutz, MD, PhDStanford University2009 Gilman Family Scholar Early Detection of Ovarian Cancer Using Targeted Microbubble-Enhanced Ultrasound The primary objective of Dr. Lutz’s proposal is to validate and refine molecularly targeted microbubble contrast enhanced ultrasound (CEUS) for non-invasive, in-vivo imaging of the ovarian cancer-related angiogenesis. Like other solid tumors, ovarian cancer is critically dependent […]
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John Paul Shen, MDUniversity of California, San Diego Improving Outcomes in Ovarian Cancer: A Network Genomics Approach Technological advances now allow for sequencing of tumors from large patient cohorts. However, this knowledge of the cancer genome has not yet been translated into the clinical practice of oncology. Dr. Shen works in the Ideker lab which […]
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Jessica Bertout, PhD, VMDFred Hutchinson Cancer Research Center2013 Gilman Family Scholar High-Resolution Detection of Somatic Ovarian Cancer Mutations in Bodily Fluids Owing to a lack of effective screening tests, 80% of ovarian cancer patients are diagnosed in late stages of the disease at which point there are low survival rates. Methods that enumerate tumor cells […]
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Manish Patankar, PhDUniversity of Wisconsin2016 Lynda’s Fund Bridge Award Identifying ovarian cancer biomarkers though lineage specific assessment of immune cell transcriptome Several decades of work have focused on the liquid portion of blood samples in order to identify biomarkers for early detection of ovarian cancer. Unfortunately, no biomarkers yet identified have proved useful for revolutionizing […]
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Rosana Risques, PhDUniversity of Washington Development of a multi-gene uterine lavage test for ovarian cancer detection Ovarian cancer is deadly because it is usually detected at advanced stage. Survival for advance stage ovarian cancer is only 25%, compared to 90% for early stage cancer, which indicates that ovarian cancer can be cured if detected early. […]
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Daniela Dinulescu, PhDEugene Braunwald Research Center, Harvard Medical Center Targeted therapeutic strategies and early detection biomarkers in ovarian cancer Epithelial ovarian cancer is the leading cause of death among gynecological cancers. We will actively discover, identify and validate disease biomarkers associated with early disease. The data collected from these key preclinical studies will be instrumental […]
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Hong Zhang, PhDFox Chase Cancer Center Regulated exocytosis and gamma synuclein in ovarian cancer: a biomarker of disease γ synuclein (gamma synuclein) is a protein that may shuttle other proteins which promote the growth and spread of cancer. This study will identify these protein promoters and assess whether γ synuclein could be used in screening.
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Victor Levenson, MD, PhDNorthwestern University A Composite DNA Methylation Biomarker For Ovarian Cancer Detection This study seeks to find a blood-based DNA pattern (as opposed to a single specific target) that could be used to detect ovarian cancer early.
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