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50 active trials for Ovarian Neoplasms

Cancer Loyalty Card Study

Approximately 7,400 new cases of ovarian cancer are diagnosed each year in the United Kingdom (UK), and with over 4,000 women dying from the disease each year it is a particularly lethal form of cancer. The symptoms for ovarian cancer are not well known and vague, and most women are diagnosed at a late stage when the cancer has already spread around the abdominal cavity with poor prognosis. Novel methods are needed to improve earlier detection and thereby improve survival from this disease. The Cancer Loyalty Card Study (CLOCS) proposes to use loyalty card data from two participating high street retailers to investigate purchase behaviour as an opportunity for cancer symptom surveillance. The investigators aim to conduct a case-control study of ovarian cancer patients matched with women without ovarian cancer and to explore public preferences for how to communicate potential outcomes of the commercial and health data linkages back to individuals. Eligible participants will be women in the UK who own at least one loyalty card with the participating high street retailers. Of these women, those who have been diagnosed with ovarian cancer are eligible to participate in the study as cases, while women who have not been diagnosed with ovarian cancer are eligible to participate as controls. Upon choosing to participate, all participants will be asked to complete a short questionnaire about well-established ovarian cancer risk factors and common symptoms either in the clinic (cases) or online/from a packet in the mail(controls). This information will be used in risk assessment for ovarian cancer of participants, which will be used at the analysis stage.

Start: November 2019
Immunohistochemical Evaluation of Protein P16 Expression in Ovarian Germ Cell Tumors.

Ovarian germ cell tumors (OGCTs) constitute 10% of ovarian tumors in Egypt [1] and mainly affect young females [2].Teratomas are the most common type [3].Most of teratomas is benign. However, it is liable for malignant transformation [4]. Others are malignant including dysgerminoma, immature teratoma, yolk sac tumor,.etc.[5] and accounts 1-1.5% of cancers in young females [6]. The pathogenesis of OGCTs is not clearly understood. Some authors revealed that mature cystic teratoma is a form of human parthenogenesis [7], which makes important concerns about future of fertility and germ stem cell replacement therapy [8]. P16 is a member of cyclin-dependent kinase (CDK) inhibitors. It arrests the cell cycle in G1 phase, so it is known as a tumor suppressor protein [9]. CDK inhibitors now are evolving as novel target therapies under clinical trials such as Palbociclib, Abemaciclib and Ribociclib that offer a hope for different cancers, such as breast cancer [10] and non-small cell lung cancer [11].One member which is recently approved by US FDA is palbociclib for use in postmenopausal women with breast cancer [12].Thus, it is necessary to do further researches on its expression among different neoplasms. P16 immunohistochemical(IHC) expression has been widely investigated in different cancers. Its IHC expression is either absent [13] or overexpressed [14] .Overexpression of p16 is documented in Human Papilloma Virus related endocervical neoplasms and High grade squamous intraepithelial lesions of the vulvovaginal region [14].Absence of p16 expression is detected in multiple cancers such as Lung cancer, colorectal cancer and lymphoma [15]. P16 IHC expression in OGCTs is poorly investigated. One study suggests that absent p16 is involved in proliferation of malignant OGCTs via molecular assessment[16].Another study suggested that decrease P16 is involved in malignant transformation of Mature cystic teratoma to squamous cell carcinoma [17].However, Previous studies are still limited and recommended further studies to confirm its results. As the role of altered P16 protein in OGCTs is not widely investigated, we hypothesized that abnormal P16 expression may be involved in its pathogenesis and germ stem cell proliferation. Abnormalities may be found either in neoplastic or stromal components. The role of stromal component of OGCTs as tumor microenvironment has no published studies yet. This will give more information about molecular pathways of germ stem cell proliferation to give a hope for CDK inhibitors as novel target therapies in the management of OGCTs and new advances in use of germ stem cell replacement therapy.

Start: December 2019
Diagnosing Ovarian Cysts - the DOC Study

Background: Ovarian cysts are common in women. The vast majority is benign; yet, ovarian cancer (OC) is seen in 500 women every year in Denmark. OC is often diagnosed in advanced stages, and OC is the fifth most deadly cancer in women in more developed countries. It can be a clinical challenge to distinguish benign ovarian cysts from OC. Currently, the Risk of Malignancy Index (RMI) is used to detect women at high risk of OC in Denmark, however, new methods to correctly differentiate benign ovarian cysts from OC at an early stage is needed. New promising studies suggest an improved diagnostic accuracy by adding the biomarker Human Epididymis Protein 4 (HE4) and systemized ultrasound imaging International Ovarian Tumor Analysis (IOTA). Purpose: The purpose is to evaluate the diagnostic performance of HE4 and IOTA in a Danish clinical setting. Furthermore, to develop an optimized diagnostic algorithm to differentiate ovarian cysts based on a combination of symptoms, biomarkers and IOTA. Methods: The study is a prospective, observational study. Women with ovarian cysts are included from gynecological practitioners and departments in the Capital Region of Denmark. Detailed information on health and symptoms are registered, and the cysts are systematically described by the gynecologist in accordance to the IOTA terminology. HE4 will be analyzed in those women who routinely needs a diagnostic blood test for CA125. Data will be coupled with data from the patient file and Danish Gynecological Cancer Database (DGCD). The diagnostic utility of HE4 and IOTA will be evaluated both alone and in combinations with health information, symptoms, and CA125. The study has been approved by the Regional Committee on Health Research Ethics (H-19021342) and the Data Protection Agency (P-2019-340). Significance: This study establishes a unique database which will form the basis for developing an optimized method for differentiating ovarian cysts, and thus optimize referral and diagnosis.

Start: December 2020
Evaluation of Multiple Protein and Molecular Biomarkers to Estimate Risk of Cancer in Gynecology Patients Presenting With a Pelvic Mass.

ANGLE has developed the Parsortix™ Cell Separation System (Parsortix), an automated system capable of harvesting rare circulating cells for analysis from a sample of peripheral blood based on cellular size and deformability. In a small pilot study, scientists at the Medical University of Vienna demonstrated that measurement of a combination of mRNA markers extracted from CTCs captured using the Parsortix system could be used to identify women with ovarian cancer. This study is designed to provide specimens for optimization of an assay using clinical and biomarker information (i.e. demographics, imaging results and/or serum tumor markers) in combination with mRNA extracted from rare cells in the blood of women presenting with a pelvic mass for the detection of malignancy. Primary Objective: Optimization of an assay/algorithm for the differentiation of women with benign pelvic masses from those with malignant pelvic masses using clinical and biomarker information (i.e. demographics, imaging results and/or serum tumor markers) in combination with mRNA markers extracted from rare cells isolated from whole blood. Multiple serum protein markers and mRNA markers will be measured, and the results will be compared to the actual clinical diagnosis made for each subject through other recognized methods (i.e. histopathology). Statistical modeling will be used to combine the clinical information, serum protein markers and/or mRNA markers for estimation of the risk of malignancy. If successful, the resulting risk algorithm will be evaluated in future, appropriately powered, prospective studies. Exploratory Objective: Use statistical modeling to determine the need for and/or preliminary design of a mathematical algorithm to combine the clinical information, serum protein markers and/or mRNA markers for estimation of the risk of malignancy.

Start: June 2016