Ten Genes Predict Lung Cancer Prognosis
Accuracy about 75 percent
FRIDAY, Oct. 26 (HealthDay News) -- A set of 10 genes can predict the course of lung cancer with an accuracy of about 75 percent, according to study findings published Oct. 18 in the Journal of Clinical Investigation.
Fabrizio Bianchi, from the Fondazione Istituto FIRC di Oncologia Molecolare in Milan, Italy, and colleagues developed an 80-gene model of prognostic indicators for lung adenocarcinoma based on gene expression data from published datasets from 170 patients, an experimental model of cancer-related pathways, and genes identified from the literature as prognostic markers.
The researchers tested this 80-gene model on an independent group of patients using reverse transcription-polymerase chain reaction (RT-PCR), which reduced the predictive gene set to 10 genes. This 10-gene model had a prognostic accuracy of about 75 percent in two independent groups of patients with stage I lung adenocarcinoma.
"Thus, we have identified a predictive signature of limited size that can be analyzed by RT-PCR, a technology that is easy to implement in clinical laboratories," Bianchi and colleagues conclude.