This study investigates the use of an investigational diagnostic test for early-stage lung, ovarian, breast, pancreas, and colorectal cancers. The purpose of this study is to analyze specific profiles of extracellular vesicles using a technique called surface-enhanced Raman spectroscopy (SERS) with the help of artificial intelligence.

The study focuses on evaluating the ability of this diagnostic system to provide information on the presence of these cancers by analyzing the Raman spectroscopic profiles extracted from human plasma. This method does not involve any surgical procedure and seeks to offer a non-invasive way to detect cancer.

• Who can participate: Participants aged 45 years or older with suspected or confirmed lung, breast, colorectal, pancreatic, or ovarian cancer can join. They must not have had cancer treatment in the past 6 months.
• Study details: Participants will provide blood samples for analysis using the investigational system. The study will compare the Raman spectroscopic profiles of extracellular vesicles to determine cancer presence.