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Hum Pathol. 2017 Aug;66:188-199. doi: 10.1016/j.humpath.2017.06.002. Epub 2017 Jun 9.

Differential gene expression profiles according to the Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society histopathological classification in lung adenocarcinoma subtypes.

Author information

1
Thoracic Oncology Unit and Laboratory of Personalized Medicine, Instituto Nacional de Cancerología (INCan), Mexico City, 14080, Mexico.
2
Computational Genomics Lab, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, 14610 Mexico.
3
Computational Sciences, Tecnológico de Monterrey, Ciudad de México, 14380 Mexico.
4
Department of Pathology, INCan, Mexico City, 14080 Mexico.
5
Lung Diseases and Cancer Epigenomics Laboratory 12, Biomedicine Research Unit (UBIMED), FES-Iztacala, Universidad Nacional Autónoma de Mexico, State of Mexico, 54090 Mexico.
6
Laboratory of Clinical Genomics, Faculty of Odontology, UNAM, Mexico City, 04510 Mexico.
7
Clinical and Translational Oncology Group, Institute of Oncology, Clínica del Country, Bogotá, 111071 Colombia.
8
Laboratorio de Genómica del Cáncer, INMEGEN, Mexico City, 14610 Mexico.
9
Thoracic Oncology Unit and Laboratory of Personalized Medicine, Instituto Nacional de Cancerología (INCan), Mexico City, 14080, Mexico. Electronic address: ogar@servidor.unam.mx.

Abstract

The current lung cancer classification from the Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society has considerably changed the pathologic diagnosis of lung invasive adenocarcinoma, identifying disease subtypes with substantial implications for medical practice, such as clinical, radiological, molecular, and prognostic differences. We analyzed the differences in the genetic expression of adenocarcinoma subtypes according to the new classification. Microarray gene expression analysis was performed on a cohort of 29 adenocarcinoma patients treated at the Instituto Nacional de Cancerología of Mexico from 2008 to 2011. All patients had an available biopsy sample and were classified into 4 different subtypes of adenocarcinoma (2015 World Health Organization classification). Lepidic-predominant adenocarcinoma was the only pattern that exhibited a marked gene expression difference compared with other predominant histologic patterns, revealing genes with significant expression (P < .01). Moreover, we identified 13 genes with specific differential expression in the lepidic-predominant adenocarcinoma that could be used as a gene signature. The lepidic-predominant histologic pattern has a differential gene expression profile compared with all predominant histologic patterns. Additionally, we identified a gene expression signature of 13 genes that have a unique behavior in the lepidic histologic pattern; these 13 genes are candidates for follow-up studies for their potential use as biomarkers or therapeutic targets. Results from this study highlight the importance of the new Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society classification and exemplify the potential clinical implications of correlating histopathology with exclusive molecular beacons.

KEYWORDS:

Acinar; Gene expression; Lepidic; Microarrays; Papillary; Solid

PMID:
28603066
DOI:
10.1016/j.humpath.2017.06.002
[Indexed for MEDLINE]

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