INSPIRE: Integrating Circulating DNA Methylation and Fragmentomics to Scan and Pinpoint Cancer Signals Effectively
This research constitutes a multi-centric, case-control designed investigation aimed at developing and implementing a blinded validation of a machine learning-powered, multi-cancer early detection model. This is to be achieved through the prospective collection of blood specimens from newly diagnosed cancer patients and individuals devoid of a confirmed cancer diagnosis
• 40-75 years old
• Clinically and/or pathologically diagnosed cancer
• No prior or undergoing any systemic or local antitumor therapy, including but not limited to surgical resection, radiochemotherapy, endocrinotherapy, targeted therapy, immunotherapy, interventional therapy, etc.
• Able to provide a written informed consent and willing to comply with all part of the protocol procedures
• 40-75 years old
• Without confirmed cancer diagnosis
• Able to provide a written informed consent and willing to comply with all part of the protocol procedures