03 / 01 / 2020 | Tiannan Guo
The most common cancer in men is often over-diagnosed and over-treated. The scientists at Westlake University have developed a mass spectrometry-based approach to fully characterize the proteome of tumor tissues, all in a single data record. Machine learning analysis can then clearly stratify cancer patients by survival probability using a protocol that can potentially be applied to various other diseases.
“Over the past 7 years, we have developed a protocol called PCT SWATH [acquisition]—pressure cycling technology coupled with SWATH [acquisition] mass spectrometry—which enables us to immortalize clinical samples.”