| Texto completo | |
| Autor(es): |
Nogueira Jorge, Natasha Andressa
;
Wajnberg, Gabriel
;
Ferreira, Carlos Gil
;
Carvalho, Benilton de Sa
;
Passetti, Fabio
Número total de Autores: 5
|
| Tipo de documento: | Artigo Científico |
| Fonte: | PLoS One; v. 12, n. 8 AUG 17 2017. |
| Citações Web of Science: | 5 |
| Resumo | |
Lung cancer is one of the most frequent types of cancer worldwide. Most patients are diagnosed at advanced stage and thus have poor prognosis. Smoking is a risk factor for lung cancer, however most smokers do not develop lung cancer while 20% of women with lung adenocarcinoma are non-smokers. Therefore, it is possible that these two groups present differences besides the smoking status, including differences in their gene expression signature. The altered expression patterns of non-coding RNAs in complex diseases make them potential biomarkers for diagnosis and treatment. We analyzed data from differentially and constitutively expressed PIWI-interacting RNAs and small nucleolar RNAs from publicly available small RNA high-throughput sequencing data in search of an expression pattern of non-coding RNA that could differentiate these two groups. Here, we report two sets of differentially expressed small non-coding RNAs identified in normal and tumoral tissues of women with lung adenocarcinoma, that discriminate between smokers and non-smokers. Our findings may offer new insights on metabolic alterations caused by tobacco and may be used for early diagnosis of lung cancer. (AU) | |
| Processo FAPESP: | 13/00506-1 - Séries temporais, ondaletas e análise de dados funcionais |
| Beneficiário: | Pedro Alberto Morettin |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |