Identification de biomarqueurs afin de personnaliser le traitement suivant une chirurgie de résection d'un adénocarcinome pulmonaire de stade I
|Abstract:||OBJECTIVE: Lung cancer is the leading cause of cancer-related death. The objective of this study is to identify tumor-based gene expression biomarkers associated with survival after curative resection for stage 1 adenocarcinoma. METHODS: Candidate genes were selected based on literature review, analyses performed in public databases (PRECOG), and using our own microarray gene expression dataset of lung cancer and non-tumor lung parenchyma. The selected genes were measured by quantitative real-time PCR (qPCR) in the tumors of 233 patients with stage 1 adenocarcinoma. Kaplan-Meier analyses were performed to establish the discriminatory performance of these biomarkers. The expression of two of these genes was then tested in an independent cohort of 210 stage 1 adenocarcinomas. RESULTS: Based on literature, we have selected 11 candidate genes that showed promising prognostic value. Complementary analyses with PRECOG and our own microarray dataset enabled us to choose three genes associated with poor outcome (RRM1, EZH2 and FOXM1) and three genes associated with favourable outcome (BTG2, SELENBP1 and NFIB). Results for EZH2 and RRM1 revealed significant difference in survival curves between patients with low compared to high gene expression (EZH2 Kaplan-Meier logrank p=3.2e-02, RRM1 Kaplan-Meier logrank p=5.9e-04). The prognostic values of EZH2 and RRM1 were not replicated in the second set of patients. CONCLUSION: OBJECTIVE: Lung cancer is the leading cause of cancer-related death. The objective of this study is to identify tumor-based gene expression biomarkers associated with survival after curative resection for stage 1 adenocarcinoma.|
|Document Type:||Mémoire de maîtrise|
|Open Access Date:||24 April 2018|
|Collection:||Thèses et mémoires|
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