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A. Ortega Gómez
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P3.01 - Poster Session with Presenters Present (ID 469)
- Event: WCLC 2016
- Type: Poster Presenters Present
- Track: Biology/Pathology
- Presentations: 1
- Moderators:
- Coordinates: 12/07/2016, 14:30 - 15:45, Hall B (Poster Area)
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P3.01-014 - Differential Gene Expression of Lung Adenocarcinoma Histology Subtypes According to the IASLC/ATS/ERS Classification (ID 4946)
14:30 - 14:30 | Author(s): A. Ortega Gómez
- Abstract
Background:
The current lung cancer classification from the IASLC/ATS/ERS integrates lung invasive adenocarcinoma subtypes accounting for the clinical, radiological, molecular and prognostic differences with its implications within the clinical practice. We analyzed the differences in genetic expression of the adenocarcinoma subtypes according to the new WHO 2015 classification.
Methods:
A cohort of 29 NSCLC patients treated at the Instituto Nacional de Cancerología of Mexico from 2008 to 2011. All patients had an available biopsy sample and were classified in four different subtypes of adenocarcinoma (2015 WHO classification). All the tissue samples were analyzed by microarrays to characterize the different expressed genes. IPA Software was used to identify biological processes, functions and biomarkers.
Results:
Lepidic predominant adenocarcinoma subtype was the only pattern that showed a marked gene expression difference against all predominant histologic patterns, revealing genes with significant (p < 0.01) expression. For all the histological predominant pattern subtype comparisons the top functional networks were related to eight different biological categories as follows: DNA replication; Recombination and Repair; Cell Cycle; Cell Death and Survival; RNA Post-Transcriptional Modification; Cancer; Organismal Injury and Abnormalities; Cellular Development. Moreover, we observed 13 genes with specific differential expression in the Lepidic predominant adenocarcinoma subtype.
Conclusion:
Lepidic predominant histological pattern subtype has a differential gene expression profile when compared against all predominant histological patterns subtypes. Moreover, we found a gene expression signature of 13 genes that has a unique behavior in the Lepidic histologic pattern subtype that could be used as a specific gene expression signature, biomarker or therapeutic target.
