IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0052393.html
   My bibliography  Save this article

MicroRNA-29a-5p Is a Novel Predictor for Early Recurrence of Hepatitis B Virus-Related Hepatocellular Carcinoma after Surgical Resection

Author

Listed:
  • Hai-Tao Zhu
  • Qiong-Zhu Dong
  • Yuan-Yuan Sheng
  • Jin-Wang Wei
  • Guan Wang
  • Hai-Jun Zhou
  • Ning Ren
  • Hu-Liang Jia
  • Qing-Hai Ye
  • Lun-Xiu Qin

Abstract

It is still difficult to predict the probability of tumor recurrence after resection of hepatocellular carcinoma (HCC). In this study, we set out to identify specific microRNA (miRNA) in microdissected hepatitis B virus (HBV)-related HCC tissue from formalin-fixed paraffin-embedded (FFPE) samples which might be used in predicting early recurrence after HCC resection. Taqman low density arrays were used to detect the 667 miRNA profiles in both the microdissected tumorous and adjacent non-tumorous liver tissues from 20 HCC patients (discovery set) including 10 patients with early tumor recurrence and 10 without early tumor recurrence and to identify the differentially expressed miRNAs related to HCC recurrence. Then quantitative real-time PCR (qRT-PCR) was used to verify the findings in 106 patients (training set), and to develop a predictive assay. The identified miRNAs were further validated in an independent cohort of 112 patients (validation set). Thirty seven miRNAs were identified from 20 HCC patients and validated in 106 HCC patients using qRT-PCR. A significant association was found between miR-29a-5p level in HCC tissues and early tumor recurrence (P = 0.0002). This association was further confirmed in the independent validation set of 112 patients (P = 0.0154). MiR-29a-5p level was significantly associated with both time to tumor recurrence (TTR) (P = 0.0015) and overall survival (OS) (P = 0.0079) in validation set. In the multivariate analyses, miR-29a-5p was identified as an independent factor for TTR, particularly for those patients with early stage of HCC. The sensitivity and specificity of miR-29a-5p for the prediction of early HCC recurrence of BCLC 0/A stage HCC were 74.2% and 68.2%, respectively. These suggest that miR-29a-5p might be a useful marker for the prediction of early tumor recurrence after HCC resection, especially in BCLC 0/A stage HCCs.

Suggested Citation

  • Hai-Tao Zhu & Qiong-Zhu Dong & Yuan-Yuan Sheng & Jin-Wang Wei & Guan Wang & Hai-Jun Zhou & Ning Ren & Hu-Liang Jia & Qing-Hai Ye & Lun-Xiu Qin, 2012. "MicroRNA-29a-5p Is a Novel Predictor for Early Recurrence of Hepatitis B Virus-Related Hepatocellular Carcinoma after Surgical Resection," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-11, December.
  • Handle: RePEc:plo:pone00:0052393
    DOI: 10.1371/journal.pone.0052393
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0052393
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0052393&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0052393?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jun Lu & Gad Getz & Eric A. Miska & Ezequiel Alvarez-Saavedra & Justin Lamb & David Peck & Alejandro Sweet-Cordero & Benjamin L. Ebert & Raymond H. Mak & Adolfo A. Ferrando & James R. Downing & Tyler , 2005. "MicroRNA expression profiles classify human cancers," Nature, Nature, vol. 435(7043), pages 834-838, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shubin W Shahab & Lilya V Matyunina & Roman Mezencev & L DeEtte Walker & Nathan J Bowen & Benedict B Benigno & John F McDonald, 2011. "Evidence for the Complexity of MicroRNA-Mediated Regulation in Ovarian Cancer: A Systems Approach," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-12, July.
    2. Roy Navon & Hui Wang & Israel Steinfeld & Anya Tsalenko & Amir Ben-Dor & Zohar Yakhini, 2009. "Novel Rank-Based Statistical Methods Reveal MicroRNAs with Differential Expression in Multiple Cancer Types," PLOS ONE, Public Library of Science, vol. 4(11), pages 1-10, November.
    3. Jian Zhang & Charing C N Chong & George G Chen & Paul B S Lai, 2015. "A Seven-microRNA Expression Signature Predicts Survival in Hepatocellular Carcinoma," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-15, June.
    4. Ander Muniategui & Rubén Nogales-Cadenas & Miguél Vázquez & Xabier L. Aranguren & Xabier Agirre & Aernout Luttun & Felipe Prosper & Alberto Pascual-Montano & Angel Rubio, 2012. "Quantification of miRNA-mRNA Interactions," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-10, February.
    5. Yunke Song & Duncan Kilburn & Jee Hoon Song & Yulan Cheng & Christopher T Saeui & Douglas G Cheung & Carlo M Croce & Kevin J Yarema & Stephen J Meltzer & Kelvin J Liu & Tza-Huei Wang, 2017. "Determination of absolute expression profiles using multiplexed miRNA analysis," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-18, July.
    6. Rao Youlan & Lee Yoonkyung & Jarjoura David & Ruppert Amy S & Liu Chang-gong & Hsu Jason C & Hagan John P, 2008. "A Comparison of Normalization Techniques for MicroRNA Microarray Data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 7(1), pages 1-20, July.
    7. Ping Xuan & Ke Han & Maozu Guo & Yahong Guo & Jinbao Li & Jian Ding & Yong Liu & Qiguo Dai & Jin Li & Zhixia Teng & Yufei Huang, 2013. "Prediction of microRNAs Associated with Human Diseases Based on Weighted k Most Similar Neighbors," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-15, August.
    8. Wei Meng & Joseph P McElroy & Stefano Volinia & Jeff Palatini & Sarah Warner & Leona W Ayers & Kamalakannan Palanichamy & Arnab Chakravarti & Tim Lautenschlaeger, 2013. "Comparison of MicroRNA Deep Sequencing of Matched Formalin-Fixed Paraffin-Embedded and Fresh Frozen Cancer Tissues," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-9, May.
    9. Ming-yang Song & Kai-feng Pan & Hui-juan Su & Lian Zhang & Jun-ling Ma & Ji-you Li & Yasuhito Yuasa & Daehee Kang & Yong Sung Kim & Wei-cheng You, 2012. "Identification of Serum MicroRNAs as Novel Non-Invasive Biomarkers for Early Detection of Gastric Cancer," PLOS ONE, Public Library of Science, vol. 7(3), pages 1-9, March.
    10. Xiao Pin Ma & Ting Zhang & Bo Peng & Long Yu & De Ke Jiang, 2013. "Association between microRNA Polymorphisms and Cancer Risk Based on the Findings of 66 Case-Control Studies," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.
    11. Julia E. Rager & Rebecca C. Fry, 2012. "The Aryl Hydrocarbon Receptor Pathway: A Key Component of the microRNA-Mediated AML Signalisome," IJERPH, MDPI, vol. 9(5), pages 1-15, May.
    12. Ya-Hui Huang & Kwang-Huei Lin & Hua-Chien Chen & Ming-Ling Chang & Chao-Wei Hsu & Ming-Wei Lai & Tse-Ching Chen & Wei-Chen Lee & Yi-Hsin Tseng & Chau-Ting Yeh, 2012. "Identification of Postoperative Prognostic MicroRNA Predictors in Hepatocellular Carcinoma," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-10, May.
    13. Yun Xiao & Chaohan Xu & Jinxia Guan & Yanyan Ping & Huihui Fan & Yiqun Li & Hongying Zhao & Xia Li, 2012. "Discovering Dysfunction of Multiple MicroRNAs Cooperation in Disease by a Conserved MicroRNA Co-Expression Network," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-11, February.
    14. Jain Yashita & Ding Shanshan & Qiu Jing, 2019. "Sliced inverse regression for integrative multi-omics data analysis," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 18(1), pages 1-13, February.
    15. Chen, Albert Y. & Yu, Ting-Yi, 2016. "Network based temporary facility location for the Emergency Medical Services considering the disaster induced demand and the transportation infrastructure in disaster response," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 408-423.
    16. Daniel G Weber & Georg Johnen & Oleksandr Bryk & Karl-Heinz Jöckel & Thomas Brüning, 2012. "Identification of miRNA-103 in the Cellular Fraction of Human Peripheral Blood as a Potential Biomarker for Malignant Mesothelioma – A Pilot Study," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-9, January.
    17. Poonam Kataria & Neha Surela & Amrendra Chaudhary & Jyoti Das, 2022. "MiRNA: Biological Regulator in Host-Parasite Interaction during Malaria Infection," IJERPH, MDPI, vol. 19(4), pages 1-11, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0052393. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.