| Abstrakt: |
New research led by NYU Langone Health and its Perlmutter Cancer Center suggests that genetic information collected from nearby healthy tissue may be a better predictor of lung cancer recurrence than analysis of the tumors themselves. The study focused on lung adenocarcinoma, a common form of lung cancer, and found that RNA analysis of apparently healthy tissue adjacent to tumor cells accurately predicted recurrence 83% of the time, compared to 63% accuracy when analyzing the tumors themselves. The study suggests that gene expression patterns in nearby healthy tissue could serve as an effective biomarker for predicting lung cancer recurrence in the early stages of the disease. [Extracted from the article] |
