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256 active trials for Cervical Cancer

Evaluation of Indocyanine Green-guided Systematic Pelvic Lymphadenectomy in Endometrial and Cervical Cancer

The lymph nodes involvement is one of the most important prognostic factors in endometrial (EC) and cervical cancer (CC). Indeed, the lymph node involvement in cancer patients modifies the International Federation of Gynecology and Obstetrics (FIGO) stage and plays a pivotal role in the choice of the adjuvant therapy. Since the modern imaging techniques are not yet able to accurately detect lymph nodes metastasis, pelvic systematic lymphadenectomy has still an important role and it still represents the gold standard in EC and CC. The sentinel lymph node (SLN) biopsy, which is a standard practice in breast cancer and melanoma, is often used in some early stage gynaecological cancers such as EC and CC. Indocyanine green (ICG) is the most used tracer for the detection of SLN in gynaecological cancer, especially in laparoendoscopic setting. ICG allows a complete visualization of the lymphatic drainage and, for this reason, it may be used even in systematic pelvic lymphadenectomy to guide the surgeon during the procedure. Several studies have demonstrated an advantage of the ICG-guided lymphadenectomy in other types of cancers, showing a higher number of lymph nodes removed with this technique when compared to standard lymphadenectomy (without ICG). To date, there is no published study about ICG-guided systematic pelvic lymphadenectomy in EC and CC. In this scenario, the aim of this study will be to compare systematic ICG-guided pelvic lymphadenectomy and standard lymphadenectomy in EC and CC.

Start: February 2025
Automated Cervical Cancer Screening Using a Smartphone-based Artificial Intelligence Classifier

Cervical cancer remains a major public health challenge in low- and middle-income countries (LMICs) due to financial and logistical issues. The World Health Organization (WHO) recommendation for cervical cancer screening in LMICs includes Human Papillomavirus (HPV) testing as primary screening followed by visual inspection with acetic acid (VIA) and treatment. However, VIA is a subjective procedure dependent on the healthcare provider's experience. Therefore, an objective approach based on quantitative diagnostic algorithms is desirable to improve performance of VIA. With this objective and in a collaboration between the Gynecology and Obstetrics Department of the Geneva University Hospital (HUG) and the Swiss Institute of Technology (EPFL), our group started the development of an automated smartphone-based image classification device called AVC (for Automatic VIA Classifier). Two-minute videos of the cervix are recorded during VIA and classified using an artificial neural network (ANN) and image processing techniques to differentiate precancer and cancer from non-neoplastic cervical tissue. The result is displayed on the smartphone screen with a delimitation map of the lesions when appropriate. The key feature used for classification is the dynamic of cervical acetowhitening during the 120 second following the application of acetic acid. Precancerous and cancerous cells whiten more rapidly than non-cancerous ones and their whiteness persists stronger overtime. Our aim is to assess the diagnostic performance of the AVC and to compare it with the performance of current triage tests (VIA and cytology). Histopathological examination will serve as reference standard. Participants' and providers' acceptability will also be considered as part of the study. The study will be nested in an ongoing cervical cancer screening program called "3T-approach" (for Test, Triage and Treat) which includes HPV self-sampling for women aged 30 to 49 years, followed by VIA triage and treatment if needed. The AVC will be evaluated in this context. The study's risk category is A according to swiss ethical guidelines. This decision is based on the fact that the planned measures for sampling biological material or collecting personal data entail only minimal risks and burdens.

Start: June 2021
M7824 in Subjects With HPV Associated Malignancies

Background: In the United States, each year there are more than 30,000 cases of human papillomavirus (HPV) associated cancers. Some of these cancers are often incurable and are not improved by standard therapies. Researchers want to see if a new drug M7824, which targets and blocks a pathway that prevents the immune system from effectively fighting the cancer can shrink tumors in people with some HPV cancers. Objectives: To see if the drug M7824 causes tumors to shrink. Eligibility: Adults age 18 and older who have a cancer associated with HPV infection. Design: Participants will be screened with medical history and physical exam. They will review their symptoms and how they perform normal activities. They will have body scans. They will give blood and urine samples. They will have a sample of their tumor tissue taken if one is not available. Participants will have an electrocardiogram to evaluate their heart. Then they will get the study drug through a thin tube in an arm vein. Participants will get the drug every 2 weeks for 26 times (1 year). This is 1 course. After the course, participants will be monitored but will not take the study drug. If their condition gets worse, they will start another course with the drug. This process can be repeated as many times as needed. Treatment will stop if the participant has bad side effects or the drug stops working. Throughout the study, participants will repeat some or all the screening tests. After participants stop taking the drug, they will have a follow-up visit and repeat some screening tests. They will get periodic follow-up phone calls. ...

Start: February 2018