Advertisement

MicroRNA biomarkers in lung cancer: MiRacle or quagMiRe?

Published:January 28, 2011DOI:https://doi.org/10.1016/j.trsl.2010.12.015
      MicroRNAs have emerged as novel and important regulators of translation. Besides their biological significance, they are being investigated as potential biomarkers of physiological and pathological states. This review article summarizes current investigations of microRNAs as biomarkers in lung cancer. The promises and pitfalls of this exciting new investigational avenue are highlighted.

      Abbreviations:

      CT (computed tomography), FFPE (formalin-fixed paraffin-embedded), RBC (red blood cell), RT-PCR (real-time polymerase chain reaction)
      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Translational Research
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Lee R.C.
        • Feinbaum R.L.
        • Ambros V.
        The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14.
        Cell. 1993; 75: 843-854
        • Calin G.A.
        • Dumitru C.D.
        • Shimizu M.
        • et al.
        Frequent deletions and down-regulation of micro- RNA genes miR15 and miR16 at 13q14 in chronic lymphocytic leukemia.
        Proc Natl Acad Sci U S A. 2002; 99: 15524-15529
        • Johnson S.M.
        • Grosshans H.
        • Shingara J.
        • et al.
        RAS is regulated by the let-7 microRNA family.
        Cell. 2005; 120: 635-647
        • Yanaihara N.
        • Caplen N.
        • Bowman E.
        • et al.
        Unique microRNA molecular profiles in lung cancer diagnosis and prognosis.
        Cancer Cell. 2006; 9: 189-198
        • Xi Y.
        • Nakajima G.
        • Gavin E.
        • et al.
        Systematic analysis of microRNA expression of RNA extracted from fresh frozen and formalin-fixed paraffin-embedded samples.
        RNA. 2007; 13: 1668-1674
        • Patnaik S.K.
        • Kannisto E.
        • Knudsen S.
        • Yendamuri S.
        Evaluation of microRNA expression profiles that may predict recurrence of localized stage I non-small cell lung cancer after surgical resection.
        Cancer Res. 2010; 70: 36-45
        • Doleshal M.
        • Magotra A.A.
        • Choudhury B.
        • Cannon B.D.
        • Labourier E.
        • Szafranska A.E.
        Evaluation and validation of total RNA extraction methods for microRNA expression analyses in formalin-fixed, paraffin-embedded tissues.
        J Mol Diagn. 2008; 10: 203-211
        • Taylor D.D.
        • Gercel-Taylor C.
        MicroRNA signatures of tumor-derived exosomes as diagnostic biomarkers of ovarian cancer.
        Gynecol Oncol. 2008; 110: 13-21
        • Weber J.A.
        • Baxter D.H.
        • Zhang S.
        • et al.
        The microRNA spectrum in 12 body fluids.
        Clinical Chem. 2010; 56: 1733-1741
        • Mitchell P.S.
        • Parkin R.K.
        • Kroh E.M.
        • et al.
        Circulating microRNAs as stable blood-based markers for cancer detection.
        Proc Natl Acad Sci U S A. 2008; 105: 10513-10518
        • Patnaik S.K.
        • Mallick R.
        • Yendamuri S.
        Detection of microRNAs in dried serum blots.
        Anal Biochem. 2010; 407: 147-149
        • Creighton C.J.
        • Reid J.G.
        • Gunaratne P.H.
        Expression profiling of microRNAs by deep sequencing.
        Brief Bioinform. 2009; 10: 490-497
        • Wang H.
        • Ach R.A.
        • Curry B.
        Direct and sensitive miRNA profiling from low-input total RNA.
        RNA. 2007; 13: 151-159
        • Vandesompele J.
        • De Preter K.
        • Pattyn F.
        • et al.
        Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes.
        Genome Biol. 2002; 3 (RESEARCH0034)
        • Andersen C.L.
        • Jensen J.L.
        • Orntoft T.F.
        Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets.
        Cancer Res. 2004; 64: 5245-5250
        • Gaur A.
        • Jewell D.A.
        • Liang Y.
        • et al.
        Characterization of microRNA expression levels and their biological correlates in human cancer cell lines.
        Cancer Res. 2007; 67: 2456-2468
        • Liu H.
        • D’Andrade P.
        • Fulmer-Smentek S.
        • et al.
        mRNA and microRNA expression profiles of the NCI-60 integrated with drug activities.
        Mol Cancer Ther. 2010; 9: 1080-1091
        • Shoemaker R.H.
        The NCI60 human tumour cell line anticancer drug screen.
        Nat Rev Cancer. 2006; 6: 813-823
        • Patz Jr., E.F.
        • Caporaso N.E.
        • Dubinett S.M.
        • et al.
        National lung cancer screening trial American college of radiology imaging network specimen biorepository originating from the contemporary screening for the detection of lung cancer trial (nlst, acrin 6654): design, intent, and availability of specimens for validation of lung cancer biomarkers.
        J Thorac Oncol. 2010; 5: 1502-1506
        • Chen X.
        • Ba Y.
        • Ma L.
        • et al.
        Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases.
        Cell Res. 2008; 18: 997-1006
        • Lodes M.J.
        • Caraballo M.
        • Suciu D.
        • et al.
        Detection of cancer with serum miRNAs on an oligonucleotide microarray.
        PloS One. 2009; 4: e6229
        • Rabinowits G.
        • Gerçel-Taylor C.
        • Day J.M.
        • Taylor D.D.
        • Kloecker G.H.
        Exosomal microRNA: a diagnostic marker for lung cancer.
        Clin Lung Cancer. 2009; 10: 42-46
        • Keller A.
        • Leidinger P.
        • Borries A.
        • et al.
        miRNAs in lung cancer—studying complex fingerprints in patient’s blood cells by microarray experiments.
        BMC Cancer. 2009; 9: 353
      1. Van Pottelberge GR, Mestdagh P, Bracke KR, et al. MicroRNA expression in induced sputum of smokers and patients with chronic obstructive pulmonary disease. Am J Respir Crit Care Med.

        • Chen S.Y.
        • Wang Y.
        • Telen M.J.
        • Chi J.T.
        The genomic analysis of erythrocyte microRNA expression in sickle cell diseases.
        PloS One. 2008; 3: e2360
        • Xing L.
        • Todd N.W.
        • Yu L.
        • Fang H.
        • Jiang F.
        Early detection of squamous cell lung cancer in sputum by a panel of microRNA markers.
        Mod Pathol. 2010; 23: 1157-1164
        • Yu L.
        • Todd N.W.
        • Xing L.
        • et al.
        Early detection of lung adenocarcinoma in sputum by a panel of microRNA markers.
        Int J Cancer. 2010 Mar 2; ([Epub ahead of print])
        • Rosenfeld N.
        • Aharonov R.
        • Meiri E.
        • et al.
        MicroRNAs accurately identify cancer tissue origin.
        Nat Biotechnol. 2008; 26: 462-469
        • Zinner R.G.
        • Novello S.
        • Peng G.
        • Herbst R.
        • Obasaju C.
        • Scagliotti G.
        Comparison of patient outcomes according to histology among pemetrexed-treated patients with stage IIIB/IV non-small-cell lung cancer in two phase II trials.
        Clin Lung Cancer. 2010; 11: 126-131
        • Herbst R.S.
        • Sandler A.B.
        Non-small cell lung cancer and antiangiogenic therapy: what can be expected of bevacizumab?.
        Oncologist. 2004; 9: 19-26
        • Lebanony D.
        • Benjamin H.
        • Gilad S.
        • et al.
        Diagnostic assay based on hsa-miR-205 expression distinguishes squamous from nonsquamous non-small-cell lung carcinoma.
        J Clin Oncol. 2009; 27: 2030-2037
        • Bishop J.A.
        • Benjamin H.
        • Cholakh H.
        • Chajut A.
        • Clark D.P.
        • Westra W.H.
        Accurate classification of non-small cell lung carcinoma using a novel microRNA-based approach.
        Clin Cancer Res. 2010; 16: 610-619
        • Du L.
        • Schageman J.J.
        • Irnov
        • et al.
        MicroRNA expression distinguishes SCLC from NSCLC lung tumor cells and suggests a possible pathological relationship between SCLCs and NSCLCs.
        J Exp Clin Cancer Res. 2010; 29: 75
        • Barshack I.
        • Lithwick-Yanai G.
        • Afek A.
        • et al.
        MicroRNA expression differentiates between primary lung tumors and metastases to the lung.
        Pathol Res Pract. 2010; 206: 578-584
        • Yu S.L.
        • Chen H.Y.
        • Chang G.C.
        • et al.
        MicroRNA signature predicts survival and relapse in lung cancer.
        Cancer Cell. 2008; 13: 48-57
        • Raponi M.
        • Dossey L.
        • Jatkoe T.
        • et al.
        MicroRNA classifiers for predicting prognosis of squamous cell lung cancer.
        Cancer Res. 2009; 69: 5776-5783
        • Gao W.
        • Yu Y.
        • Cao H.
        • et al.
        Deregulated expression of miR-21, miR-143 and miR-181a in non small cell lung cancer is related to clinicopathologic characteristics or patient prognosis.
        Biomed Pharmacoth. 2010; 64: 399-408
        • Landi M.T.
        • Zhao Y.
        • Rotunno M.
        • et al.
        MicroRNA expression differentiates histology and predicts survival of lung cancer.
        Clin Can Res. 2010; 16: 430-441
        • Hu Z.
        • Chen X.
        • Zhao Y.
        • et al.
        Serum microRNA signatures identified in a genome-wide serum microRNA expression profiling predict survival of non-small-cell lung cancer.
        J Clin Oncol. 2010; 28: 1721-1726
        • Voortman J.
        • Goto A.
        • Mendiboure J.
        • et al.
        MicroRNA expression and clinical outcomes in patients treated with adjuvant chemotherapy after complete resection of non-small cell lung carcinoma.
        Cancer Res. 2010; 70: 8288-8298
        • Blower P.E.
        • Verducci J.S.
        • Lin S.
        • et al.
        MicroRNA expression profiles for the NCI-60 cancer cell panel.
        Mol Cancer Ther. 2007; 6: 1483-1491
        • Blower P.E.
        • Chung J.H.
        • Verducci J.S.
        • et al.
        MicroRNAs modulate the chemosensitivity of tumor cells.
        Mol Cancer Ther. 2008; 7: 1-9
        • Kong W.
        • He L.
        • Coppola M.
        • et al.
        MicroRNA-155 regulates cell survival, growth, and chemosensitivity by targeting FOXO3a in breast cancer.
        J Biol Chem. 2010; 285: 17869-17879
        • Yu Z.W.
        • Zhong L.P.
        • Ji T.
        • Zhang P.
        • Chen W.T.
        • Zhang C.P.
        MicroRNAs contribute to the chemoresistance of cisplatin in tongue squamous cell carcinoma lines.
        Oral Oncol. 2010; 46: 317-322
        • Xie L.
        • Chen X.
        • Wang L.
        • et al.
        Cell-free miRNAs may indicate diagnosis and docetaxel sensitivity of tumor cells in malignant effusions.
        BMC Cancer. 2010; 10: 591
        • Hwang J.H.
        • Voortman J.
        • Giovannetti E.
        • et al.
        Identification of microRNA-21 as a biomarker for chemoresistance and clinical outcome following adjuvant therapy in resectable pancreatic cancer.
        PloS One. 2010; 5: e10630
        • Ranade A.R.
        • Cherba D.
        • Sridhar S.
        • et al.
        MicroRNA 92a-2∗: a biomarker predictive for chemoresistance and prognostic for survival in patients with small cell lung cancer.
        J Thorac Oncol. 2010; 5: 1273-1278
        • Lee J.K.
        • Havaleshko D.M.
        • Cho H.
        • et al.
        A strategy for predicting the chemosensitivity of human cancers and its application to drug discovery.
        Proc Natl Acad Sci U S A. 2007; 104: 13086-13091