Virtual Library
Start Your Search
G. Mercado
Author of
-
+
P3.06 - Poster Session/ Screening and Early Detection (ID 220)
- Event: WCLC 2015
- Type: Poster
- Track: Screening and Early Detection
- Presentations: 1
- Moderators:
- Coordinates: 9/09/2015, 09:30 - 17:00, Exhibit Hall (Hall B+C)
-
+
P3.06-026 - Gene Expression Signature to Predict Early Development of Brain Metastasis in Lung Adenocarcinoma (ID 1273)
09:30 - 09:30 | Author(s): G. Mercado
- Abstract
Background:
Advances in systemic treatment have substantially improved the overall survival of advanced lung adenocarcinoma patients, and risk of brain metastases(BM) is higher. The survival of patients with symptomatic BM is poor. The identification of NSCLC patients with a high risk of developing BM would enable pre-emptive intervention to improve the outcome.
Methods:
A total of 53 biopsies of primary lung tumor adenocarcinoma stage IV treatment-naïve were analyzed for gene expression profiling using Affymetrix HuGene 1.0 ST and were processed in R using Bioconductor libraries. All patients were evaluated with brain MRI at diagnosis with a 3-month follow-up for BM development. Patients were classified into two groups: early-BM( < 6 months) and late-BM( > 6 months). A second independent cohort of 55 patients was analyzed to validate the gene expression signature (ClinicalTrials.gov: NCT00862173).
Results:
Samples were classified as early-BM(17) and late-BM(6), the remainder 30 never developed BM. Significant changes in gene expression of about100 genes were found. Eleven highly significant genes (B-stat > 12) were associated with process of cell-migrationCNN3(down-reg.) and adhesionCDH10(up-reg); anti-apoptosisBAG1(up-reg); immunological evasionSSX2(up-reg) and RAET1E(up-reg); signaling pathways related to RAS gene RAB9A(up-reg) and RAPGEF5(down-reg); mRNA-tRNA translocationDUS2L(up-reg); methylation controlNOC2L(up-reg); and members of the EGFR family EPGN(up-reg) and IGFR, IGF2BP1(up-reg).
Conclusion:
We describe an 11-gene signature that may predict the risk of BM which has the potential to classify patients and evaluate screening strategies that would facilitate pre-emptive interventional trials such as prophylactic cranial irradiation.
