The analysis of microRNA expression in lung adenocarcinomas with characteristic driver mutations and lung neuroendocrine carcinomas

利用芯片，我们分别鉴定了在EGFR突变、KRAS突变和ALK易位的肺腺癌中特征表达的microRNAs。此外，我们分别确定了EGFR突变、KRAS突变和ALK易位肺腺癌的microRNAs的特征路径。另一方面，利用microRNA微阵列对小细胞肺癌(SCLC)进行分级聚类，将其分为两组(SCLC 1和SCLC 2)。与与肺腺癌聚集在一起的SCLC-1相比，SCLC-1的预后明显更差(P=0.039)。需要在硅胶和体外进行进一步的研究来验证这些结果。

Using microarrays, we identified the microRNAs characteristically expressed in EGFR mutated, KRAS mutated, and ALK translocated lung adenocarcinomas, respectively. Furthermore, we identified characteristic pathways for the microRNAs of EGFR mutated, KRAS mutated, and ALK translocated lung adenocarcinomas, respectively. On the other hand, small cell lung carcinomas(SCLCs) were classified into two groups(SCLC1 and SCLC2) by hierarchical clustering using microRNA microarray. SCLC1, which formed an independent cluster comprising only SCLCs, has a significant poorer prognosis than SCLC2, which clustered with lung adenocarcinomas(P=0.039). Further investigations, in silico and in vitro, are required to validate these results.