Abstract
Altered expression of microRNAs (miRNAs) has been shown in many types of malignancies including the head and neck squamous cell carcinoma (HNSCC). Although there are many new and innovative approaches in the treatment of HNSCC, a clear marker of this disease is still missing. Three candidate miRNAs (miR-29c-3p, miR-200b-5p and miR-375-3p) were studied in connection with HNSCC using quantitative real-time PCR expression levels in 42 tissue samples of HNSCC patients and histologically normal tumour-adjacent tissue samples of these patients. Primary HNSCC carcinoma tissues can be distinguished from histologically normal-matched noncancerous tumour-adjacent tissues based on hsa-miR-375-3p expression (sensitivity 87.5 %, specificity 65 %). Additionally, a significant decrease of hsa-miR-200b-5p expression was revealed in tumour-adjacent tissue samples of patients with node positivity. Lower expression of hsa-miR-200b-5p and hsa-miR-29c-3p in HNSCC tumour tissue was associated with higher tumour grade. Consequently, survival analysis was performed. Lower expression of hsa-miR-29c-3p in tumour-adjacent tissue was associated with worse overall and disease-specific survivals. Lower expression of miR-29c-3p in tumourous tissue was associated with worse relapse-free survival. hsa-miR-375-3p seems to be a relatively promising diagnostic marker in HNSCC but is not suitable for prognosis of patients. Furthermore, this study highlighted the importance of histologically normal tumour-adjacent tissue in HNSCC progress (significant decrease of hsa-miR-200b-5p expression in tumour-adjacent tissue of patients with node positivity and low expression of hsa-miR-29c-3p in HNSCC tumour-adjacent tissue associated with worse prognosis).
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Introduction
Head and neck squamous cell carcinoma (HNSCC) is the sixth most common type of cancer [1]. Despite new approaches in treatment of HNSCC, the overall 5-year survival rate for patients with HNSCC is only 50 % mostly because of the high rate of recurrences and advanced stage of disease by diagnosis [2]. Epidemiology of HNSCC has changed during the past 30 years; formerly, HNSCC was most commonly seen in older adults with a history of alcohol and tobacco use, and now it can be seen in younger adults in their 40s and 50s [3]. Thus, biomarkers with specific indications for diagnosis, prognosis and prediction of therapeutic response are desperately needed.
Many studies proved that the aberrations in the microRNA (miRNA) expression are tightly connected with pathogenesis of human cancers, including HNSCC [4, 5]. miRNAs are small RNA molecules (20–22 nucleotides) unable to encode proteins but managing significant catalytic, structural and post-transcriptional regulatory functions. They regulate target molecule by binding to target messenger RNA (mRNA) and inhibit protein translation or induce degradation of mRNA [6]. In this study, we focused on expression profiles of miR-29c-3p, miR-200b-5p and miR-375-3p. With detailed 5p arm and 3p arm and sequence presentation, we could achieve more reproducible results. The arm annotation is quite often lacking in other studies.
miR-29c belongs to the miR-29 family and is deregulated in many different types of cancer including nasopharyngeal carcinomas. miR-29c habitually has tumour-suppressive effect in those cancers [7–11]. The 3p arm of the miR-29 precursor is a prevailing product (miR-29c or miR-29c-3p), although the 5p arm (miR-29c* or miR-29c-5p) also objectively exists [12]. miR-200b-5p is a key regulator of epithelial-mesenchymal transition (EMT) involved in cancer metastasis and chemoresistance [13]. Furthermore, RNA-sequencing analysis revealed that enhanced expression of pri-miR-200b resulted in increased expression of both miR-200b-3p and miR-200b-5p. miR-200b-5p was not expressed in triple negative breast cancer cell lines with EMT features [14]. Hui et al. revealed that the downregulation of miR-375, presented in 91 % of HNSCC, would result in enhanced proliferation, deregulated growth and nonfunctional apoptosis [15]. Jung et al. also disclosed the miR-375-mediated suppression of multiple oncogenic pathways in HPV-associated carcinogenesis [16]. Downregulation of miR-375 may be a potential marker of metastasis occurrence and poor outcome in HNSCC [17].
In this study we focused on the evaluation of three miRNAs with supposed tumour-suppressive effect (miR-29c-3p, miR-200b-5p and miR-375-3p) as diagnostic and prognostic markers of HNSCC.
Materials and methods
Sample preparation
All procedures performed in this study were approved by the ethical committee of St. Anne’s Faculty Hospital, Brno, Czech Republic, and were in accordance with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. All surgical tissue samples were obtained from HNSCC patients after they signed the informed consent. Histologically verified primary HNSCC carcinoma tissues (T) and matched noncancerous adjacent tissues (A) were collected. The tissue material harvested at surgery was placed into RNAlater solution for RNA stabilization and storage (Ambion, USA). The material was maintained cold, and RNA was isolated within 24 h.
Total RNA extraction, quantitative real-time PCR
We obtained total RNA from samples using TRIzol reagent (Invitrogen, UK). RNA concentrations and purity were determined by a NanoDrop spectrophotometer (Thermo Fisher Scientific, Wilmington, DE, USA). An optical density ratio at 260:280 nm was calculated to evaluate protein contamination of RNA. In addition to the ratio at 260:280 nm, measurements were taken also at 280 and 230 nm. Our 260:280 values were between 1.84 and 2.08. The A260/A230 ratio was greater than 1.5 in all samples. According to manufacturer’s instructions, 10 ng of isolated RNA was transcribed using the TaqMan® miRNA reverse transcription kit (Applied Biosystems, USA), and 1.33 μl of the transcribed miRNA was used directly in the quantitive real-time PCR reaction. The primer and probe sets were selected from TaqMan miRNA expression assays hsa-miR-29c (assay ID: 000587), hsa-miR-200b (assay ID: 002274) and hsa-miR-375 (assay ID: 000564)) (Applied Biosystems, USA). The amplified DNA was analysed by the comparative Ct method using RNU44 (assay ID: 001094) as an endogenous control. The qRT-PCR was performed under the following amplification conditions: total volume 20 μl, initial denaturation 95 °C/10 min, then 45 cycles 95 °C/15 s, 60 °C/1 min with the 7500 real-time PCR system (Applied Biosystems, USA). Sequence of studied miRNAs is shown in Table 1.
Data normalization and statistical analysis
Log-transformed miRNA expression data were analysed using a paired test (tumour versus tumour-adjacent tissue) and using one factor ANOVA. Survival analysis was analysed using Cox proportional hazard regression with miRNA expression levels as covariates. Receiver-operator curves (ROC), cutoff, sensitivity and specificity were calculated using Cutoff Finder (http://molpath.charite.de/cutoff) according to [18]. Unless noted otherwise, p level < 0.05 was considered significant. Software Statistica 12 (StatSoft, Tulsa, OK, USA) was used for analysis.
Results
Clinico-pathological characterization of HNSCC patients
In this study, in total, 42 biopsy samples of tumours from male patients with histologically verified spinocellular carcinoma and comprehensive patient history were used. Only patients fulfilling following criteria were included: descriptors of the tumour are present (histology, tumour staging, grading) and patients with no current or previous malignancy. Therapeutic strategy was not taken into account. Sampling was performed before the therapy begun (either chemo-, radiotherapy or surgery). Age of patients and HPV status was not taken into account. Tumour-adjacent tissue was verified histologically. Expression of the selected miRNAs in tumour tissue was compared with the control group consisting of matched tumour-adjacent histologically normal tissue (39 samples). Brief description of the cases is shown in Table 2. In the next step, the effect of clinico-pathological conditions of patients on the expression of the selected miRNAs was analysed.
miRNA expression pattern in tumour and tumour-adjacent tissues
The expression analysis of miRNA was performed to characterize the expression profile of selected miRNAs in the particular tissue type. A multivariate test revealed a significant effect of the tissue type on the miRNA expression pattern (F (6, 144) = 3.07, p = 0.007).
In accordance with the aim of this study, the expression of selected miRNAs in tumour tissue and histologically normal tumour-adjacent samples was assessed. miRNA expression for the tumour samples and the matched adjacent tissues (tumour = 39, adjacent = 39) were analysed using the paired t test analysis.
hsa-miR-375-3p and hsa-miR-29c-3p were both more expressed in tumour-adjacent tissues (11.59-fold higher expression, p = 0.0001 and 2.63-fold higher, p = 0.048 for miR-375 and -29c, respectively). No statistically significant change in expression of hsa-miR-200b-5p between adjacent and tumour tissues was found.
ROC (receiver-operator curves) analysis identified a sensitivity 87.5 % (95 % CI 94.5–73.9), specificity 65 % (95 % CI 77.9–49.5) and area under curve (AUC) = 0.74 for hsa-miR-375-3p and sensitivity 59.0 % (95 % CI 72.9–43.4), specificity 69.2 % (95 % CI 81.4–53.6) and AUC = 0.62 for hsa-miR-29c-3p (see Fig. 1 ).
miRNA expression and tumour staging
Consequently, the effect of tumour staging on the expression of the above-mentioned miRNAs was analysed. Tumour-adjacent tissues are involved in the development and progression of the tumour; therefore, the effect of tumour staging was not only related to the expression in HNSCC tumourous tissue but also to the expression in tumour-adjacent tissue samples. First, the effect of TNM T staging was analysed (T1–2 versus T3–4). Thirty-five tumour tissue samples (T1–2 = 15, T3–4 = 20) and 34 tumour-adjacent tissue samples (T1–2 = 15, T3–4 = 19) were involved in the analysis. No significant association between the selected miRNA expression and T stage was determined either in the tumour or in the tumour-adjacent tissue. Subsequently, the effect of node positivity was analysed. Thirty-five tumour tissue samples (N positive = 20, N negative = 15) and 33 tumour-adjacent tissue samples (N positive = 19, N negative = 14) were involved in the analysis. A significant decrease of hsa-miR-200b-5p expression was revealed in tumour-adjacent tissue samples of patients with node positivity (0.17-fold expression, 95 % CI 0.03–0.87; p = 0.035). In the next step, the effect of the presence of distant metastases was analysed. Thirty-five tumour tissue samples (M positive = 4, M negative = 31) and 33 tumour-adjacent tissue samples (M positive = 4, M negative = 29) were included in the analysis. No significant association between distant metastasis and the selected miRNA expression was determined either in the tumour or in the tumour-adjacent tissue.
Gene expression and histological grading
Thirty-four tumour tissue samples (high grade = 30, low grade = 4) and 32 tumour-adjacent tissue samples (high grade = 29, low grade = 3) were involved in the analysis. Low expression of hsa-miR-200b-5p (0.03-fold change, 95 % CI 0.001–0.15; p = 0.0001) and hsa-miR-29c-3p (0.05-fold change, 95 % CI 0.001–0.63; p = 0.023) in tumour tissue was significantly associated with higher tumour grade (see Fig. 2).
Association between miRNA expression and disease-free and overall survivals
The prognostic value of miR-29c-3p, miR-200b-5p and miR-375-3p expressions on overall, disease-specific and recurrence-free survivals was studied by Cox proportional hazard regression. Similar to previous chapters, the hazard was calculated for the miRNA expression in tumour and tumour-adjacent tissues separately. Survival analysis showed a significant effect of miR-29c-3p on overall and disease-specific survivals in tumour-adjacent tissue (hazard ratio, HR = 0.27, 95 % CI = 0.01 to 0.85 and 0.07, 95 % CI = 0.01 to 0.59, respectively) (Fig. 3). In addition, there was a significant effect of miR-29c-3p on recurrence-free survival in tumour tissues (HR = 0.31, 95 % CI = 0.10 to 0.91). miR-200b and 375 were not associated with a hazard in overall, disease-specific and recurrence-free survivals. For details, see Table 3.
Discussion
MicroRNAs (miRNAs) are important regulators of gene expression. Downregulation of tumour suppressor miRNAs or overexpression of particular onco-miRNAs is involved in pathogenesis of human cancers and cause tumourigenesis in mouse models [19].
In this study, we focused on the expression profiles of presumed tumour suppressor miRNAs (miR-29c-3p, miR-200b-5p and miR-375-3p) in HNSCC. Many of the miRNAs have gender-related expression levels, and oestrogen-dependent miRNA regulation is also well known [20, 21]. For these reasons, only male HNSCC patients were included into analysis. hsa-miR-375-3p and hsa-miR-29c-3p were both less expressed in tumour tissues. ROC (receiver-operator curves) analysis identified a sensitivity 87.5 %, specificity 65 % and AUC = 0.74 for hsa-miR-375-3p and sensitivity 59.0 %, specificity 69.2 % and AUC = 0.62 for hsa-miR-29c-3p. No statistically significant change in expression of hsa-miR-200b-5p between tumour-adjacent and tumour tissues was found. Downregulation of tumour suppressor miR-375 could lead to uncontrolled cancerous inhibitor of protein phosphatase 2A (CIP2A) expression and strengthened stability of MYC oncogene, which contributes to the promotion of tumourous phenotypes, such as increased proliferation, colony formation, migration and invasion [22]. Furthermore, it was shown that common anti-cancer drugs such as doxorubicin, 5-fluorouracil, trichostatin A or etoposide reactivated miR-375 and its primary transcript pri-miR-375 expression in tongue cancer cells [23]. Lower hsa-miR-29c-3p expression in tumour tissue is also in accordance with other studies [11, 24–26]. Missing significant difference in hsa-miR-200b-5p expression between tumour-adjacent tissues and HNSCC tumour tissues could be caused by the presence of activated cancer-associated fibroblasts (CAFs) in tumour-adjacent tissue. Tang et al. revealed that miR-200s are generally downregulated not only in breast cancer tissues but also in activated CAFs. Fibroblasts with downregulated miR-200s displayed accelerated migration and invasion [27]. In accordance, a decrease of hsa-miR-200b-5p expression in tumour-adjacent tissue samples was associated with node positivity in HNSCC patients. Low expression of hsa-miR-200b-5p and hsa-miR-29c-3p in tumour tissue was also significantly associated with higher tumour grade. Using the survival analysis, it revealed a significant effect of hsa-miR-29c-3p expression in tumour-adjacent tissue on the overall and disease-specific survivals and in tumour tissue on recurrence-free survival (higher expression of this miRNA was associated with better prognosis). Nevertheless, no significant effect of hsa-miR-375-3p or hsa-miR-200b-5p expressions was demonstrated using the survival analysis. It could be due to context-dependent effects of miRNAs. They are tumour suppressive in context of pro-tumourigenic pathways, but they also can confer a resistance to the chemotherapy [28]. For example, artificial overexpression of miR-375 in cervical cancer cells decreased paclitaxel sensitivity in vitro and also in vivo [29]. miR-141 and miR-200 expressions may lead to two counteracting effects: resistance to platinum compounds on the one hand but increased sensitivity to paclitaxel on the other [28, 30]. The negative correlation between hsa-miR-200b-5p and hsa-miR-200b-3p expressions and cisplatin sensitivity was revealed also in NCI60 platform by CellMiner (http://discover.nci.nih.gov/cellminer/).
Conclusions
In conclusion, hsa-miR-375-3p seems to be a relatively promising diagnostic marker inasmuch as primary HNSCC carcinoma tissues can be distinguished from histologically normal-matched noncancerous tumour-adjacent tissues based on these miRNA expressions. A close relationship was found between tumour miRNA expression profiles and circulating miRNAs [31, 32]. Consequently, hsa-miR-375-3p could be a promising target of further research of diagnostic markers in circulation.
Furthermore, this study highlighted the importance of histologically normal tumour-adjacent tissue in HNSCC progress, inasmuch as a significant decrease of hsa-miR-200b-5p expression was revealed in the tumour-adjacent tissue samples of patients with node positivity, and low expression of hsa-miR-29c-3p in HNSCC tumour-adjacent tissue was significantly associated with worse prognosis.
Change history
02 September 2021
Publisher’s Note: An erratum to this article is available online at https://doi.org/10.3233/TUB-219002
References
Ferlay J, Shin H-R, Bray F, Forman D, Mathers C, Parkin DM. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer. 2010;127(12):2893–917. doi:10.1002/ijc.25516.
Thomas GR, Nadiminti H, Regalado J. Molecular predictors of clinical outcome in patients with head and neck squamous cell carcinoma. Int J Exp Pathol. 2005;86(6):347–63. doi:10.1111/j.0959-9673.2005.00447.x.
Young D, Xiao CC, Murphy B, Moore M, Fakhry C, Day TA. Increase in head and neck cancer in younger patients due to human papillomavirus (HPV). Oral Oncol. 2015;51(8):727–30. doi:10.1016/j.oraloncology.2015.03.015.
Lan H, Lu H, Wang X, Jin H. MicroRNAs as potential biomarkers in cancer: opportunities and challenges. Biomed Research International. 2015:125094. doi:10.1155/2015/125094.
Masood Y, Kqueen CY, Rajadurai P. Role of miRNA in head and neck squamous cell carcinoma. Expert Rev Anticancer Ther. 2015;15(2):183–97. doi:10.1586/14737140.2015.978294.
Brodersen P, Voinnet O. Revisiting the principles of microRNA target recognition and mode of action. Nat Rev Mol Cell Biol. 2009;10(2):141–8. doi:10.1038/nrm2619.
Schmitt MJ, Margue C, Behrmann I, Kreis S. miRNA-29: a microRNA family with tumor-suppressing and immune-modulating properties. Curr Mol Med. 2013;13(4):572–85.
Bae HJ, Noh JH, Kim JK, Eun JW, Jung KH, Kim MG, et al. MicroRNA-29c functions as a tumor suppressor by direct targeting oncogenic SIRT1 in hepatocellular carcinoma. Oncogene. 2014;33(20):2557–67. doi:10.1038/onc.2013.216.
Liu N, Tang L-L, Sun Y, Cui R-X, Wang H-Y, Huang B-J, et al. MiR-29c suppresses invasion and metastasis by targeting TIAM1 in nasopharyngeal carcinoma. Cancer Lett. 2013;329(2):181–8. doi:10.1016/j.canlet.2012.10.032.
Zou YK, Li JW, Chen ZY, Li XW, Zheng SG, Yi D, et al. miR-29c suppresses pancreatic cancer liver metastasis in an orthotopic implantation model in nude mice and affects survival in pancreatic cancer patients. Carcinogenesis. 2015;36(6):676–84. doi:10.1093/carcin/bgv027.
Sengupta S, den Boon JA, Chen IH, Newton MA, Stanhope SA, Cheng YJ, et al. MicroRNA 29c is down-regulated in nasopharyngeal carcinomas, up-regulating mRNAs encoding extracellular matrix proteins. Proc Natl Acad Sci U S A. 2008;105(15):5874–8. doi:10.1073/pnas.0801130105.
Jiang H, Zhang G, Wu J-H, Jiang C-P. Diverse roles of miR-29 in cancer (review). Oncol Rep. 2014;31(4):1509–16. doi:10.3892/or.2014.3036.
Diaz-Martin J, Diaz-Lopez A, Moreno-Bueno G, Castilla MA, Rosa-Rosa JM, Cano A, et al. A core microRNA signature associated with inducers of the epithelial-to-mesenchymal transition. J Pathol. 2014;232(3):319–29. doi:10.1002/path.4289.
Rhodes LV, Martin EC, Segar HC, Miller DF, Buechlein A, Rusch DB, et al. Dual regulation by microRNA-200b-3p and microRNA-200b-5p in the inhibition of epithelial-to-mesenchymal transition in triple-negative breast cancer. Oncotarget. 2015;6(18):16638–52. doi:10.18632/oncotarget.3184.
Hui ABY, Lenarduzzi M, Krushel T, Waldron L, Pintilie M, Shi W, et al. Comprehensive microRNA profiling for head and neck squamous cell carcinomas. Clin Cancer Res. 2010;16(4):1129–39. doi:10.1158/1078-0432.ccr-09-2166.
Jung HM, Phillips BL, Chan EKL. miR-375 activates p21 and suppresses telomerase activity by coordinately regulating HPV E6/E7, E6AP, CIP2A, and 14-3-3 zeta. Mol Cancer. 2014;13:80. doi:10.1186/1476-4598-13-80.
Harris T, Jimenez L, Kawachi N, Fan J-B, Chen J, Belbin T, et al. Low-level expression of miR-375 correlates with poor outcome and metastasis while altering the invasive properties of head and neck squamous cell carcinomas. Am J Pathol. 2012;180(3):917–28. doi:10.1016/j.ajpath.2011.12.004.
Budczies J, Klauschen F, Sinn BV, Győrffy B, Schmitt WD, Darb-Esfahani S, et al. Cutoff finder: a comprehensive and straightforward web application enabling rapid biomarker cutoff optimization. PLoS One. 2012;7(12):e51862. doi:10.1371/journal.pone.0051862.
Lin S, Gregory RI. MicroRNA biogenesis pathways in cancer. Nat Rev Cancer. 2015;15(6):321–33. doi:10.1038/nrc3932.
Nothnick WB, Healy C. Estrogen induces distinct patterns of MicroRNA expression within the mouse uterus. Reprod Sci. 2010;17(11):987–94. doi:10.1177/1933719110377472.
Klinge CM. Estrogen regulation of microRNA expression. Curr Genomics. 2009;10(3):169–83.
Jung HM, Patel RS, Phillips BL, Wang H, Cohen DM, Reinhold WC, et al. Tumor suppressor miR-375 regulates MYC expression via repression of CIP2A coding sequence through multiple miRNA-mRNA interactions. Mol Biol Cell. 2013;24(11):1638–48. doi:10.1091/mbc.E12-12-0891.
Jung HM, Benarroch Y, Chan EK. Anti-cancer drugs reactivate tumor suppressor miR-375 expression in tongue cancer cells. J Cell Biochem. 2015;116(5):836–43. doi:10.1002/jcb.25039.
Fabbri M, Garzon R, Cimmino A, Liu Z, Zanesi N, Callegari E, et al. MicroRNA-29 family reverts aberrant methylation in lung cancer by targeting DNA methyltransferases 3A and 3B. Proc Natl Acad Sci U S A. 2007;104(40):15805–10. doi:10.1073/pnas.0707628104.
Plaisier CL, Pan M, Baliga NS. A miRNA-regulatory network explains how dysregulated miRNAs perturb oncogenic processes across diverse cancers. Genome Res. 2012;22(11):2302–14. doi:10.1101/gr.133991.111.
Park S-Y, Lee JH, Ha M, Nam J-W, Kim VN. miR-29 miRNAs activate p53 by targeting p85a and CDC42. Nat Struct Mol Biol. 2009;16(1):23–9. doi:10.1038/nsmb.1533.
Tang X, Hou Y, Yang G, Wang X, Tang S, Du YE, et al. Stromal miR-200s contribute to breast cancer cell invasion through CAF activation and ECM remodeling. Cell Death Differ. 2016;23(1):132–45. doi:10.1038/cdd.2015.78.
Brozovic A, Duran GE, Wang YC, Francisco EB, Sikic BI. The miR-200 family differentially regulates sensitivity to paclitaxel and carboplatin in human ovarian carcinoma OVCAR-3 and MES-OV cells. Mol Oncol. 2015;9(8):1678–93. doi:10.1016/j.molonc.2015.04.015.
Shen Y, Wang P, Li Y, Ye F, Wang F, Wan X, et al. miR-375 is upregulated in acquired paclitaxel resistance in cervical cancer. Br J Cancer. 2013;109(1):92–9. doi:10.1038/bjc.2013.308.
Wiemer EAC. Stressed tumor cell, chemosensitized cancer. Nat Med. 2011;17(12):1552–4. doi:10.1038/nm.2593.
Waters PS, McDermott AM, Wall D, Heneghan HM, Miller N, Newell J, et al. Relationship between circulating and tissue microRNAs in a murine model of breast cancer. PLoS One. 2012;7(11):e50459. doi:10.1371/journal.pone.0050459.
Matamala N, Teresa Vargas M, Gonzalez-Campora R, Minambres R, Ignacio Arias J, Menendez P, et al. Tumor microRNA expression profiling identifies circulating microRNAs for early breast cancer detection. Clin Chem. 2015;61(8):1098–106. doi:10.1373/clinchem.2015.238691.
Acknowledgments
This work was supported by the Czech Science Foundation GA16-12454S, by the Ministry of Health of the Czech Republic, grant no. 16-29835A, by Specific University Research grants—MUNI/A/1426/2015 and MUNI/A/1365/2015—provided by the Ministry of Education, Youth and Sports of the Czech Republic in the year 2016 and by the Ministry of Education, Youth and Sports of the Czech Republic under the project CEITEC 2020 (LQ1601).
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Hudcova, K., Raudenska, M., Gumulec, J. et al. Expression profiles of miR-29c, miR-200b and miR-375 in tumour and tumour-adjacent tissues of head and neck cancers. Tumor Biol. 37, 12627–12633 (2016). https://doi.org/10.1007/s13277-016-5147-2
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DOI: https://doi.org/10.1007/s13277-016-5147-2