New research suggests that analyzing genetic data from healthy tissue close to lung tumors may be a better predictor of cancer recurrence after treatment than analyzing the tumors themselves. The study found that analyzing RNA from apparently healthy tissue accurately predicted cancer recurrence 83% of the time, compared to 63% accuracy when analyzing RNA from tumors. The findings indicate that the pattern of gene expression in healthy tissue could serve as a biomarker for predicting lung cancer recurrence in its earliest stages.
New research suggests that analyzing genetic data from healthy tissue close to lung tumors may be a better predictor of cancer recurrence after treatment than analyzing the tumors themselves. The study found that analyzing RNA from apparently healthy tissue accurately predicted cancer recurrence 83% of the time, compared to 63% accuracy when analyzing RNA from tumors. The findings indicate that the pattern of gene expression in healthy tissue could serve as a biomarker for predicting lung cancer recurrence in its earliest stages.
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