ArticleScientific reports2017
Identification of prognostic genes through expression differentiation during metastatic process in lung adenocarcinoma.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Investigating the association of NBN gene polymorphisms with multiple cancers through statistical meta-analysis and bioinformatics insights.Biology methods & protocols · 2026Review
- Role of Ultrasound Imaging in the Prediction ofFrontiers in neurology · 2022Article
- Differential molecular markers of primary lung tumors and metastatic sites indicate different possible treatment selections in patients with metastatic lung adenocarcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2019Article
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2 authors.
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Abstract
Cancer is a highly complicated biological process due to large scale heterogeneity. Identification of differentially expressed genes between normal and cancer samples is widely utilized in the discovery of prognostic factors. In this study, based on RNA sequencing data of lung adenocarcinoma, we focused on the expression differentiation during confined (with neither lymph node invasion nor distant metastasis) primary tumors and lymphnode (with only lymph node invasion but not distant metastasis) primary tumors. The result indicated that differentially expressed genes during confined-lymphnode transition were more closely related to patient's overall survival comparing with those identified from normal-cancer transition. With the aid of public curated biological network, we successfully retrieved the biggest connected module composed of 135 genes, of which the expression was significantly associated with patient's overall survival, confirmed by 9 independent microarray datasets.
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