Ontology highlight
ABSTRACT: Background
To improve the postoperative prognosis of patients with lung cancer, predicting the recurrence high-risk patients is needed for the efficient application of adjuvant chemotherapy. However, predicting lung cancer recurrence after a radical surgery is difficult even with conventional histopathological prognostic factors, thereby a novel predictor should be identified. As lipid metabolism alterations are known to contribute to cancer progression, we hypothesized that lung adenocarcinomas with high recurrence risk contain candidate lipid predictors. This study aimed to identify candidate lipid predictors for the recurrence of lung adenocarcinoma after a radical surgery.Methods
Frozen tissue samples of primary lung adenocarcinoma obtained from patients who underwent a
SUBMITTER: Takanashi Y
PROVIDER: S-EPMC7446133 | biostudies-literature | 2020 Aug
REPOSITORIES: biostudies-literature