Nogueira Jorge Natasha Andressa, Wajnberg Gabriel, Ferreira Carlos Gil, de Sa Carvalho Benilton, Passetti Fabio
Laboratory of Functional Genomics and Bioinformatics, Oswaldo Cruz Institute, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil.
D'or Institute for Reserach and Education, Rio de Janeiro, RJ, Brazil.
PLoS One. 2017 Aug 17;12(8):e0183410. doi: 10.1371/journal.pone.0183410. eCollection 2017.
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.
肺癌是全球最常见的癌症类型之一。大多数患者在晚期被诊断出来，因此预后较差。吸烟是肺癌的一个危险因素，然而大多数吸烟者不会患肺癌，而20%的肺腺癌女性患者不吸烟。因此，这两组人群除了吸烟状况外，可能还存在其他差异，包括基因表达特征的差异。复杂疾病中非编码RNA的表达模式改变使其成为诊断和治疗的潜在生物标志物。我们分析了公开可用的小RNA高通量测序数据中差异表达和组成性表达的PIWI相互作用RNA和小核仁RNA的数据，以寻找能够区分这两组人群的非编码RNA表达模式。在此，我们报告了在肺腺癌女性患者的正常组织和肿瘤组织中鉴定出的两组差异表达的小非编码RNA，它们能够区分吸烟者和非吸烟者。我们的研究结果可能为烟草引起的代谢改变提供新的见解，并可用于肺癌的早期诊断。
