Plasma miR-92a-2 as a biomarker for small cell lung cancer

被引:45
作者
Yu, Yalan [1 ,2 ]
Zuo, Jiangcheng [1 ,2 ,3 ]
Tan, Qian [1 ,2 ]
Thin, Khaing Zar [1 ,2 ]
Li, Ping [4 ]
Zhu, Man [1 ,2 ]
Yu, Mingxia [1 ,2 ,5 ]
Fu, Zhenming [1 ,2 ]
Liang, Chunzi [1 ,2 ]
Tu, Jiancheng [1 ,2 ,5 ]
机构
[1] Wuhan Univ, Zhongnan Hosp, Clin Lab Med, Dept Lab Med, Wuhan, Hubei, Peoples R China
[2] Wuhan Univ, Zhongnan Hosp, Ctr Gene Diag, Wuhan, Hubei, Peoples R China
[3] Hosp Yiling, Dept Lab Med Maternal & Child Hlth, Yichang, Hubei, Peoples R China
[4] Wuhan Univ, Zhongnan Hosp, Div Tumor Radiat & Chemotherapy, Wuhan, Hubei, Peoples R China
[5] Hubei Univ Tradit Chinese Med, Sch Lab Med, Wuhan, Hubei, Peoples R China
关键词
MiR-92a-2; plasma; small cell lung cancer; diagnosis; TIME QUANTITATIVE PCR; CIRCULATING MICRORNAS; EXPRESSION; GUIDELINES;
D O I
10.3233/CBM-160254
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
引用
收藏
页码:319 / 327
页数:9
相关论文
共 24 条
  • [1] Argonaute2 complexes carry a population of circulating microRNAs independent of vesicles in human plasma
    Arroyo, Jason D.
    Chevillet, John R.
    Kroh, Evan M.
    Ruf, Ingrid K.
    Pritchard, Colin C.
    Gibson, Donald F.
    Mitchell, Patrick S.
    Bennett, Christopher F.
    Pogosova-Agadjanyan, Era L.
    Stirewalt, Derek L.
    Tait, Jonathan F.
    Tewari, Muneesh
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2011, 108 (12) : 5003 - 5008
  • [2] Construction of Confidence Regions in the ROC Space after the Estimation of the Optimal Youden Index-Based Cut-Off Point
    Bantis, Leonidas E.
    Nakas, Christos T.
    Reiser, Benjamin
    [J]. BIOMETRICS, 2014, 70 (01) : 212 - 223
  • [3] The MIQE Guidelines: Minimum Information for Publication of Quantitative Real-Time PCR Experiments
    Bustin, Stephen A.
    Benes, Vladimir
    Garson, Jeremy A.
    Hellemans, Jan
    Huggett, Jim
    Kubista, Mikael
    Mueller, Reinhold
    Nolan, Tania
    Pfaffl, Michael W.
    Shipley, Gregory L.
    Vandesompele, Jo
    Wittwer, Carl T.
    [J]. CLINICAL CHEMISTRY, 2009, 55 (04) : 611 - 622
  • [4] Fruh M, 2013, ANN ONCOLOGY
  • [5] A polycistronic microRNA cluster, miR-17-92, is overexpressed in human lung cancers and enhances cell proliferation
    Hayashita, Y
    Osada, H
    Tatematsu, Y
    Yamada, H
    Yanagisawa, K
    Tomida, S
    Yatabe, Y
    Kawahara, K
    Sekido, Y
    Takahashi, T
    [J]. CANCER RESEARCH, 2005, 65 (21) : 9628 - 9632
  • [6] Detection of microRNA Expression in Human Peripheral Blood Microvesicles
    Hunter, Melissa Piper
    Ismail, Noura
    Zhang, Xiaoli
    Aguda, Baltazar D.
    Lee, Eun Joo
    Yu, Lianbo
    Xiao, Tao
    Schafer, Jeffrey
    Lee, Mei-Ling Ting
    Schmittgen, Thomas D.
    Nana-Sinkam, S. Patrick
    Jarjoura, David
    Marsh, Clay B.
    [J]. PLOS ONE, 2008, 3 (11):
  • [7] MicroRNA In Lung Cancer: Novel Biomarkers and Potential Tools for Treatment
    Inamura, Kentaro
    Ishikawa, Yuichi
    [J]. JOURNAL OF CLINICAL MEDICINE, 2016, 5 (03)
  • [8] Small Cell Lung Cancer
    Kalemkerian, Gregory P.
    Akerley, Wallace
    Bogner, Paul
    Borghaei, Hossein
    Chow, Laura
    Downey, Robert J.
    Gandhi, Leena
    Ganti, Apar Kishor P.
    Govindan, Ramaswamy
    Grecula, John C.
    Hayman, James
    Heist, Rebecca Suk
    Horn, Leora
    Jahan, Thierry M.
    Koczywas, Marianna
    Moran, Cesar A.
    Niell, Harvey B.
    O'Malley, Janis
    Patel, Jyoti D.
    Ready, Neal
    Rudin, Charles M.
    Williams, Charles C., Jr.
    [J]. JOURNAL OF THE NATIONAL COMPREHENSIVE CANCER NETWORK, 2011, 9 (10): : 1086 - 1113
  • [9] Altered expression profiles of microRNAs during TPA-induced differentiation of HL-60 cells
    Kasashima, K
    Nakamura, Y
    Kozu, T
    [J]. BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, 2004, 322 (02) : 403 - 410
  • [10] RDML: structured language and reporting guidelines for real-time quantitative PCR data
    Lefever, Steve
    Hellemans, Jan
    Pattyn, Filip
    Przybylski, Daniel R.
    Taylor, Chris
    Geurts, Rene
    Untergasser, Andreas
    Vandesompele, Jo
    [J]. NUCLEIC ACIDS RESEARCH, 2009, 37 (07) : 2065 - 2069