Affiliations: [a] Department of Laboratory Medicine, Clinical Laboratory Medicine and Center for Gene Diagnosis, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China | [b] Department of Laboratory Medicine, Maternal and Child Health Hospital of Yiling, Yichang, Hubei, China | [c] Division of the Tumor Radiation and Chemotherapy, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China | [d] School of Laboratory Medicine, Hubei University of Traditional Chinese Medicine, Wuhan, Hubei, China
Correspondence:
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Corresponding author: Jiancheng Tu, Department of Laboratory Medicine, Clinical Laboratory Medicine and Center for Gene Diagnosis, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China. Tel.: +86 27 6781 2989; Fax: +86 27 6781 2989; E-mail:jianchengtu@whu.edu.cn
Note: [1] These authors contributed equally to this work.
Abstract: MicroRNAs (miRNAs) are small, non-coding RNAs that play important roles in
the carcinogenesis and progression of cancers. Aberrant expression of miRNAs
in tissue and plasma has been found in various solid tumors. Our research
aims to determine whether the abnormal plasma miRNA expression patterns can
be used as a predictive marker for the diagnosis and prognosis of small cell
lung cancer (SCLC).
Fifty SCLC patients and 30 healthy controls annotated with clinical
characteristics and specific questionnaire survey for smoking history were
available. Quantification of several miRNAs (miR-20a-5p, miR-92a-2-5p and miR-17-5p) was performed using
quantitative real-time polymerase chain reaction (qRT-PCR), and results were
analyzed using SPSS statistics 17.0.
Plasma miR-92a-2 level was significantly higher in the SCLC patients group compared
with healthy control (P< 0.0001), the receiver operating characteristic
(ROC) curve analysis showed that the specificity and sensitivity were at
100% and 56% for diagnosis of SCLC, area under the ROC curve (AUC) was
0.761. No other statistically significant differences were found in the
expression level of plasma miR-92a-2 among survival analysis in SCLC.
Detection of miR-92a-2 levels in plasma could be a potential and noninvasive method
for the diagnosis of SCLC.
Keywords: MiR-92a-2, plasma, small cell lung cancer, diagnosis
