Prospective Study of oncRNA Stratification of Cancer by Size and Stage

Cancer strikes about one in three women and one in two men in the U.S. and more than 600,000 die from it each year. The best chance to reduce these numbers and save lives is through early detection and intervention. The investigators are developing a blood test to detect cancer from a simple blood draw also referred to as a liquid biopsy. This test is based on orphan non-coding RNAs (oncRNAs) that are abundant in the blood of patients with cancer and largely absent in people without cancer. Using artificial intelligence (AI) and machine learning (ML) investigators are able to interpret the thousands of oncRNAs found in the blood of patients with cancer by identifying unique, cancer-specific patterns. oncRNA patterns can be used to detect several types of cancer and detect cancer at the earliest stages. This is a prospective, observational study to collect blood samples and medical information from participants with and without cancer to represent the population in the USA. The investigators have designed the study to include participants without cancer, participants with conditions that are a predisposition for cancer, participants with pre-malignant lesions, and participants with cancer. Patients with a wide variety of cancers are going to be included i.e. bladder, breast, colorectal, esophageal, gastric, kidney, liver, lung, ovarian, pancreatic, prostate, and uterine cancer. Each participant will be asked to donate a small blood sample and to share their medical informat…

This description comes directly from the study's public registry record.

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