EXoPERT EMERALD: Early Multi-cancer Study of EV's Ramen-AL Linked Diagnosis Clinical Study Protocol
The purpose of this study is to establish a multi-center clinical repository of blood samples to support the development and evaluation of an artificial intelligence-based in vitro diagnostic software. The software analyzes surface-enhanced Raman spectroscopy (SERS) profiles of extracellular vesicles (EVs) extracted from human plasma for the early detection of multiple cancers, including lung, ovarian, breast, pancreatic, and colorectal cancers.
• Subject aged 45 years or older with a biopsy-proven or clinically suspected primary lung, breast, colorectal, pancreatic, or ovarian cancer, based on objective findings such as radiological, serological, endoscopic, or cytological findings, whose blood was collected prior to any systemic or definitive therapy for the cancer.
• Subjects who are willing and able to provide written informed consent.
• Subjects who are willing and able to comply with the study requirements.