The following info and data is provided "as is" to help patients around the globe.
We do not endorse or review these studies in any way.
Brief Title: PRediction Of Five Usual Tumors Using Blood Test for Risk Assessment and Early Detection
Official Title: Peripheral Blood cfDNA Methylation, Fragmentation, and Proteomics for Multiple Cancers Early Detection: a Multicenter, Prospective, Observational, Case-control Study
Study ID: NCT05874648
Brief Summary: Liquid biopsy technology based on cell-free nucleic acids and protein characteristics has unique advantages and significant application prospects in cancer early detection. The purpose of this study is to collect peripheral blood samples from participants with new diagnosis of cancer and from participants who do not have a diagnosis of cancer in order to develop machine learning models for discovering cancer from non-cancer.
Detailed Description: The PROFUTURE study: A prospective, multicenter, observational, case-control study with collection of peripheral blood and clinical data from clinical networks in order to develop machine learning models for discovering cancer from non-cancer. According to the statistical hypothesis based on expected detection performance, the study will enroll approximately 3,830 participants, including 2,138 participants with cancer (case arm) and approximately 1,692 representative participants without a clinical diagnosis of cancer after medical screening (control arm). Participants pre-matched by age and gender will be divided into training set and validation set in a ratio of approximately 7:3. The validation set will be blinded until the models are developed. Clinical information, demographics, and medical data relevant to cancer status are collected from all participants and their medical records at baseline. The participants of control arm will be asked to report suspected cancer diagnosis status within 6 months after blood collection.
Minimum Age: 40 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: Yes
The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China