Researchers reveal genetics of near healthy tissue help detect lung cancer's return
Researchers reveal genetics of near healthy tissue help detect lung cancer's return
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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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. 
