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Expression patterns and bioinformatic analysis of miR-1260a and miR-1274a in Prostate Cancer Tunisian patients

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Abstract

Currently, microRNAs (miRs) represent great biomarkers in cancer due to their stability and their potential role in diagnosis, prognosis and therapy. This study aims to evaluate the expression levels of miRs-1260 and -1274a in prostate cancer (PC) samples and to identify their eventual targets by using bioinformatic analysis. In this project, we evaluated the expression status of miRs-1260 and -1274a in 86 PC patients and 19 controls by using real-time quantitative PCR and 2−ΔΔCt method. Moreover, we retrieved validated and predicted targets of miRs from several datasets by using the “multiMir” R/Bioconductor package. We have found that miRs-1260 and -1274a were over-expressed in PC patients compared to controls (p < 1 × 10−5). Moreover ROC curve for miRs-1260 and 1274a showed a good performance to distinguish between controls group and PC samples with an area under the ROC curve of 0.897 and 0.784 respectively. However, no significant association could be shown between these two miRs and clinical parameters such as PSA levels, Gleason score, tumor stage, D’Amico classification, lymph node metastasis statues, tumor recurrence, metastasis status and progression after a minimum of 5 years follow-up. Finally, a bioinformatic analysis revealed the association between these two miRs and several targets implicated in prostate cancer initiation pathways.

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Acknowledgements

We would to thank to the medical team of Urology department and pathology anatomy and cytology department, Charles Nicolle Hospital, Tunis, Tunisia. We wish to thank to Rosa Somoza and Teresa Moline for their excellent technical assistance (Pathology Department at Vall d´Hebron Hospital), all members of Dr. LLeonart´s laboratory.

Funding

This work was supported by grants from the Instituto de Salud Carlos III, Grants PI12/01104 and PI15/01262 cofinanced by the European Regional Development Fund (ERDF) (ME LLeonart).

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Author notes

  1. Garcia-Mayea and Nesrine Trabelsi have equally contributed to this work.

Authors and Affiliations

  1. Laboratory of Protein Engineering and Bio-active Molecules, National Institute of Applied Science and Technology - University of Carthage, Tunis, Tunisia

    Rahma Said, Nesrine Trabelsi, Nouha Setti Boubaker & Slah Ouerhani

  2. Biomedical Research in Cancer Stem Cells Group, Pathology Department, Vall d’Hebron Research Institute (VHIR), Passeig Vall d´Hebron 119-129, 08035, Barcelona, Spain

    Yoelsis Garcia-Mayea, Cristina Mir, Javier Hernández-Losa & Matilde E. LLeonart

  3. Pathology Anatomy and Cytology Department, Charles Nicolle Hospital, Tunis, Tunisia

    Ahlem Blel & Soumaya Rammeh

  4. Urology Department, Charles Nicolle Hospital, Tunis, Tunisia

    Nidhal Ati, Amine Derouiche & Mohamed Chebil

  5. Faculty of Sciences of Bizerte, University of Carthage, Tunis, Tunisia

    Rahma Said

  6. Biomedical Research Group of Urology, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain

    Rosanna Paciucci

  7. Spanish Biomedical Research Network Centre in Oncology (CIBERONC), Madrid, Spain

    Matilde E. LLeonart

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  1. Rahma Said
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  2. Yoelsis Garcia-Mayea
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Correspondence to Slah Ouerhani.

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This work is approved by Ethic committee of Charles Nicolle-Tunis-Tunisia.

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Said, R., Garcia-Mayea, Y., Trabelsi, N. et al. Expression patterns and bioinformatic analysis of miR-1260a and miR-1274a in Prostate Cancer Tunisian patients. Mol Biol Rep 45, 2345–2358 (2018). https://doi.org/10.1007/s11033-018-4399-x

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