A network-based signature to predict the survival of non-smoking lung adenocarcinoma

Abstract excerpt

Background: A substantial increase in the number of non-smoking lung adenocarcinoma (LAC) patients has been drawing extensive attention in the past decade. However, effective biomarkers, which could guide the precise treatment, are still limited for identifying high-risk patients. Here, we provide a network-based signature to predict the survival of non-smoking LAC. Materials and methods: Gene expression profiles...

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