Open Access

Circulating MicroRNAs in gynecological malignancies: from detection to prediction

Experimental Hematology & Oncology20143:14

DOI: 10.1186/2162-3619-3-14

Received: 4 March 2014

Accepted: 14 May 2014

Published: 20 May 2014

Abstract

MicroRNAs (miRNAs) have been demonstrated to play critical roles in many physiological and pathophysiological processes. The presence of altered miRNA profiles in human body fluids has been reported for a number of diseases including gynecological malignancies. In this review, we summarized the current progresses of circulating miRNAs associated with malignancies in gynecology, with an emphasizing on the circulating miRNAs as diagnostic and prognostic biomarkers in ovarian cancer, endometrial carcinoma and cervical cancer.

Introduction

Cancer has long been one of the major causes of death worldwide. Along with its increasing incidence and mortality, enormous efforts have been made on etiology, pathophysiology, diagnosis and therapeutics of multiple malignancies, including gynecological neoplasms. Ovarian cancer, together with endometrial cancer and cervical carcinoma, are the three most common gynecological malignant tumors. They contributed more than 2/3 of new cases of cancer in female genital system every year. And, ovarian cancer, ranked the fifths of all female malignancies, causing 14,270 deaths in US per year [1]. It is the highest in gynecologic tumors.

Current diagnostic methods for cancer, especially malignancies of female reproductive tract, mainly depend on typical symptoms and screening tests, such as pelvic examination, transvaginal ultrasound, and tumor biomarkers. However, many tumors are asymptomatic at early stage, like ovarian cancer. And on the other side, examinations and biomarkers are not yet sensitive or sufficiently specific for tumor detection. Consequently, finding reliable methods/biomarkers for early diagnosis of cancer remains a significant clinical challenge.

MicroRNAs (miRNAs), a class of small RNAs approximately 18–22 nucleotides in length, were initially discovered in 1993. The regulatory function of miRNAs was proven to be inducing either translation suppression or degradation of RNA. Investigations have suggested that miRNAs are related to a lot of physiological processes [2, 3], and their dysregulation can lead to the occurrence and progression of diseases. Researchers found that miRNAs might be involved in the pathogenesis of a variety of human cancers, such as lung cancer [4], prostate cancer [5], colorectal tumor [6] and leukemia [7, 8], as either oncogenes or onco-suppressors.

Emerging evidences of miRNAs in circulation and in body fluids, such as serum [9], human whole saliva [10], and urine [11], have initiated a new era of disease research. Circulatory miRNAs are reported mainly from monocytes, plasma, and exosomes [9, 12], and resistant to degradation by RNase enzyme thus stable in the blood [13]. A lot of profiling studies have linked miRNAs to possible biomarkers for disorders, both diagnostic and prognostic. Consequently, the potential role of miRNAs in clinical practice lies in not only the early diagnosis and classification of tumors, but also the identification of poorly differentiated malignancies and the prediction of survival and response to treatment.

For tumors of human female reproductive tract, investigations have revealed the differential expression of miRNAs in tissue as well as blood/serum samples. These findings had been further linked to recognition and monitoring of tumors. Here in this review we highlighted the new progresses on the role of circulating miRNAs associated with malignancies in gynecology.

Ovarian cancer and circulating MiRNAs

Ovarian cancer is one of the deadliest gynecologic malignancies worldwide, and epithelial ovarian cancer (EOC) is the most common pathological type of ovarian cancer. Carbohydrate antigen-125 (CA-125), and Human Epididymis Protein 4 (HE4), are the most widely used biomarkers for EOC diagnosis, of which sensitivity and specificity are not quite satisfied. About 70% of patients are diagnosed in advanced clinical stages of the disease due to lack of effective screening methods [14]. Therefore, finding reliable biomarkers for the early diagnosis of ovarian cancer remains a crucial topic.

Proven to be stable and conservative in circulation, a variety of miRNAs were revealed differently expressed in ovarian carcinomas and in disease specific conditions. Advances in applications of miRNAs as diagnostic and prognostic biomarkers have also caught attentions of scientists.

Taylor et al. isolated circulating tumor-derived exosomes from sera of patients diagnosed with ovarian serous papillary adenocarcinoma, and for the first time reported that eight circulating miRNAs were differentially expressed between ovarian cancer patients and benign controls [13]. This investigation, followed by several profiling studies [1519], raised the possibility that miRNAs could potentially be used as surrogate diagnostic markers for biopsy. Table 1 summarized the differential expression miRNAs in profiling studies. As revealed recently, expression level of miR-26a in plasma was reported to be able to distinguish EOC patients from healthy controls [20]. And interestingly, the results of Resnick’s investigation showed that serum levels of miRNAs were not consistent with serum CA-125 levels, the present marker of ovarian tumors [15]. They found miR-21, 92 and 93 were significantly over-expressed in patients with normal CA-125, highlighting the prospect of circulating miRNAs as non-invasive biomarkers of cancer detection.
Table 1

Differential expressed circulating microRNAs of ovarian cancer in profiling studies

Dysregulated microRNAs

Associations

Histology

Sources

Methods

References

Up-regulated

Down-regulated

miR-21, 29a, 92, 93, 126

miR-127, 155, 99b

 

ovarian cancer

serum, patient vs. normal control

microarray,qRT-PCR

Resnick, 2009 [14]

95 miRNAs

88 miRNAs, 4 validated by qRT-PCR: miR-132, 26a, let-7b, miR-145

 

serous ovarian cancer

serum, patient vs. healthy control

microarray,qRT-PCR

Chung, 2013 [15]

miR-205, 643, 200a, 184, 9, 21*, let-7f-2*, miR-483-5p, 616*, 34a*, 501-5p, 141

let-7a, 7d*, 7e*, 106b*, 149, 193b*, 362-3p, 363*, 422a, 449a, 770-5p, 98, 15b*, let-7f, miR-221, 450a, 570, 573

lower let-7f vs. poor prognosis

epithelial ovarian cancer

plasma, patient vs. healthy control

TaqMan Low Density Array, qRT-PCR

Zheng, 2013 [18]

miR-1274a, 30b, 30c, 625-3p, 720;

 

serous epithelial ovarian cancer

plasma, OC# patient vs. healthy volunteer

TaqMan Open Array

 

miR-106b, 126, 150, 17, 20a, 92a;

 

plasma, OC# patient vs. benign neoplasm

Shapira, 2014 [16]

MiR-139-5p, 142-3p, 484, 486, 660

 

benign neoplasm vs. healthy volunteer

miR-21, 191, 16, 15b, 1977, 1979, 1973, 1974, 4284, 195;

 

EAOC##: endometrioidand/or clear cell adenocarcinoma

plasma, EAOC patients vs. healthy controls

RT-qPCR

Suryawanshi, 2013 [17]

miR-362-5p, 1274a, 21, 766, 1975, 1308, 191, 744, 376a, 1246;

 

plasma, EAOC patients vs. endometriosis patients

miR-16, 195, 191, 1974, 4284, 15b, 1978, 1979, 362-5p, 1973

 

endometriosis patients vs. healthy controls

#OC: ovarian cancer, ##EAOC: endometriosis-associated ovarian cancer.

On the basis of expression profiling, researchers further tried to analyze the utility of circulating miRNAs in diagnosing ovarian cancers. Kan et al. [21] reported that the expressions of miR-200a, miR-200b and 200c were significantly up-regulated in sera of patients diagnosed with serous epithelial ovarian cancer (n = 28). They founded an efficient predictive model with normalized miR-200b and miR-200c (ROC-AUC = 0.784). Although the sample size of this study was limited, it lighted up the chance of using serum miRNAs as promising discriminating tools of ovarian cancer. In a larger sample analysis (360 epithelial ovarian cancer patients and 200 healthy controls), Zheng [19] and coworkers found higher miR-205 and lower let-7f expression in plasma of cases than that of controls. Furthermore, the levels of miR-205 and let-7f together provided high diagnostic accuracy for ovarian cancer patients, especially for stage I disease. The combination of these two miRNAs, together with CA-125 further improved the accuracy of detection, suggesting a good possibility in improving the current deficiency of early ovarian cancer diagnosis.

Despite the potential role of circulating miRNAs in distinguishing ovarian cancers from healthy controls and benign tumors, the expression levels of some miRNAs have been revealed to be associated with some clinicopathological features of cancer. The concentration of miR-221 in sera of patients with epithelial ovarian cancer (EOC) was higher than that of healthy controls [22]. Furthermore, the expression level of serum miR-221 was significantly associated with International Federation of Gynecology and Obstetrics (FIGO) stage and tumor grade. And, through multivariate analysis of overall survival, high serum miR-221 expression was confirmed as an independent unfavorable prognostic factor in EOC. Guo et al. [23] found a significant correlation between miR-92 expression and regional lymph node involvement and clinical stage of the tumor, while there was no significant association between expression of miR-92 and age. This suggested the possibility of up-regulated miR-92 levels as a prognostic biomarker. Increased serum miR-21 expression was also proved to be correlated with advanced FIGO stage, high tumor grade, and shortened overall survival [24]. And in Zheng’s study, they raised the correlation between lower let-7f and poor prognosis in EOC patients, indicating let-7f may be predictive of ovarian cancer prognosis [19]. In addition, Shapira et al. [17] analyzed the follow-up outcome and pre-surgery plasma miRNA levels of women diagnosed with ovarian cancer. Significant differences in 5 miRNA expressions were found in women who had short overall survival (SOS) compared to women with long overall survival (LOS). And after correction for multiple testing, level of miR-1290 was confirmed significantly different between the two groups (adj.P-value = 0.05, AUC = 0.87), giving a great chance of serum miRNAs as monitoring and prognostic biomarkers.

Circulating MicroRNA signatures in endometrial carcinoma

Endometrial carcinomas is one of the most common malignant tumors of the female reproductive tract, and approximately 80% of endometrial cancers are of endometrioid histology [25]. Diagnosed mostly in early clinical stages, again despite a great improvement in endometrial cancer treatment and diagnosis, advanced stages of the disease are still difficult to manage with the 5-year survival rate of ~10–29% [26]. Highly sensitive and specific molecular prognostic biomarkers are required to better predict the outcome of endometrioid endometrial cancer (EEC). Recent study identified that miR-194 has potential to serve as prognostic biomarker for endometrial cancer [27]. However, circulating miRNAs involved in ECC were not analyzed as much as in ovarian cancers.

Tan et al. tried to use the serum level of miR-155 to differentiated EEC from healthy controls, and other histological types of endometrial carcinomas [28]. They found that the increase of miR-155 expression was associated with cancer stage, and lymph node metastasis (LNM). The potential of circulating miRNAs serving as diagnostic and prognostic markers was then confirmed by other researchers. Torres and coworkers [29] found that the expression of miR-99a, miR-100 and miR-199b was up-regulated in plasma of EEC patients, and a combination of miR-99a and miR-199b was more accurate in distinguishing EEC disease when compared with single miRNAs. Another genome-wide serum miRNA expression profile identified a combination of four serum miRNAs (miR-222, miR-223, miR-186 and miR-204) as a fingerprint for EEC detection. The ROC-AUC was 0.927, which was markedly higher than that of CA-125 (0.673), showing a better accuracy.

Other investigations of miRNA profiling in EEC have tried to make associations between circulating miRNAs and the clinicopathological characteristics [30, 31]. Expression of a number of miRNAs was showed to have links to signatures like FIGO stage, grade, relapse and nodal metastases, while the relations were mostly linked to miRNAs expression in tissue samples.

Circulating MiRNA studies in cervical cancer

Cervical cancer is a primary cancer of the uterine cervix in female whose development is a multistep process initiated by persistent infection with high-risk human papillomavirus. Although the mortality of cervical cancer was decreasing in area with advanced healthcare and prevention system, the incidence is still high worldwide. Thanks to the effective screening methods for cervical cancer, studies focused on extracellular miRNAs and cervical cancer were limited. In our recent work, we demonstrated that the circulating miRNAs, miR-646, miR-141* and miR-542-3p were differentially expressed in the serum of cervical squamous cell carcinoma (SCC) patients before and after surgery, thus could potentially serve as non-invasive biomarkers and post-therapeutic monitors for cervical SCC [32].

Researchers investigated the expression of miR-218 in the sera from cervical cancer patients and its relationships with clinicopathological characteristics [33]. MiR-218 was reduced significantly in the sera of cervical cancer patients. Moreover, decreased miR-218 was reported to be associated with later stages, cervical adenocarcinoma, and lymphatic node metastasis. And in another research, Zhao et al. [34] found that the expression levels of miR-20a and miR-203 were both significantly higher in cervical cancer patients compared with healthy controls. Patients with LNM tended to have overexpression of miR-20a, but down-regulation of miR-203. The authors took further study to analyze the efficiency of using miR-20a to differentiate LNM (+) patients from LNM (−) patients. The value of the area under the receiver-operating curve (AUC) was 0.734 ± 0.058, the sensitivity and specificity of serum miR-20a were 75% and 72.5%, respectively, and the cut-off point was 3.0. These results suggested that the circulating miR-20a may be a potential biomarker for detecting the lymph node status of cervical cancer patients.

Since LNM is one of the crucial clinicopahtological features of cervical SCC, more than one research focused on the detection of LNM. Chen et al. [35] examined the expression levels of miRNAs that dysregulated between LNM (+) and LNM (−) SCC samples, both in tissue samples and in sera of patients and healthy controls. They identified 6 serum miRNAs that can predict LNM in cervical SCC patients: miR-1246, miR-20a, miR-2392, miR-3147, miR-3162-5p and miR-4484. Furthermore, they analyzed the prediction value of LNM using comprehensive set of these serum microRNAs. The ROC-AUC reached to 0.932. As shown in their results, the predictive value of the serum miRNAs was inferior to that in tissue, but far superior to serum SCC antigen (SCC-Ag) analysis, suggesting that serum miRNAs are potential novel predictors of LNM with clinical value in early-stage cervical SCC.

Future perspectives

Circulating miRNAs have been proposed as diagnostic and prognostic biomarkers for gynecological malignancies, including ovarian cancer, endometrial carcinoma and cervical cancer. There exists a high level of inconsistency across present studies as many results have been reported only within one or a few times so far. And there will be a long way to go before we can really use these findings in clinical work. In addition, the production and metabolic pathways of circulating miRNAs, as well as their function remain unclear to date and need further investigation.

Declarations

Acknowledgments

This work was supported by the funds from National Science Foundation of China (30500578), and by “the Fundamental Research Funds for the Central Universities”.

Authors’ Affiliations

(1)
Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital
(2)
Department of Obstetrics & Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University

References

  1. Siegel R, Ma J, Zou Z, Jemal A: Cancer statistics, 2014. CA Cancer J Clin 2014, 64: 9–29. 10.3322/caac.21208PubMedView ArticleGoogle Scholar
  2. Bartel DP: MicroRNAs: genomics, biogenesis, mechanism, and function. Cell 2004, 116: 281–297. 10.1016/S0092-8674(04)00045-5PubMedView ArticleGoogle Scholar
  3. Zhang H, Chen Z, Wang X, Huang Z, He Z, Chen Y: Long non-coding RNA: a new player in cancer. J Hematol Oncol 2013, 6: 37. 10.1186/1756-8722-6-37PubMed CentralPubMedView ArticleGoogle Scholar
  4. Hayashita Y, Osada H, Tatematsu Y, Yamada H, Yanagisawa K, Tomida S, Yatabe Y, Kawahara K, Sekido Y, Takahashi T: A polycistronic microRNA cluster, miR-17–92, is overexpressed in human lung cancers and enhances cell proliferation. Cancer Res 2005, 65: 9628–9632. 10.1158/0008-5472.CAN-05-2352PubMedView ArticleGoogle Scholar
  5. Hassan O, Ahmad A, Sethi S, Sarkar FH: Recent updates on the role of microRNAs in prostate cancer. J Hematol Oncol 2012, 5: 9. 10.1186/1756-8722-5-9PubMed CentralPubMedView ArticleGoogle Scholar
  6. Akao Y, Nakagawa Y, Hirata I, Iio A, Itoh T, Kojima K, Nakashima R, Kitade Y, Naoe T: Role of anti-oncomirs miR-143 and −145 in human colorectal tumors. Cancer Gene Ther 2010, 17: 398–408. 10.1038/cgt.2009.88PubMedView ArticleGoogle Scholar
  7. Sun YM, Lin KY, Chen YQ: Diverse functions of miR-125 family in different cell contexts. J Hematol Oncol 2013, 6: 6. 10.1186/1756-8722-6-6PubMed CentralPubMedView ArticleGoogle Scholar
  8. Gimenes-Teixeira HL, Lucena-Araujo AR, Dos SG, Zanette DL, Scheucher PS, Oliveira LC, Dalmazzo LF, Silva-Junior WA, Falcao RP, Rego EM: Increased expression of miR-221 is associated with shorter overall survival in T-cell acute lymphoid leukemia. Exp Hematol Oncol 2013, 2: 10. 10.1186/2162-3619-2-10PubMed CentralPubMedView ArticleGoogle Scholar
  9. Mitchell PS, Parkin RK, Kroh EM, Fritz BR, Wyman SK, Pogosova-Agadjanyan EL, Peterson A, Noteboom J, O’Briant KC, Allen A, Lin DW, Urban N, Drescher CW, Knudsen BS, Stirewalt DL, Gentleman R, Vessella RL, Nelson PS, Martin DB, Tewari M: Circulating microRNAs as stable blood-based markers for cancer detection. Proc Natl Acad Sci U S A 2008, 105: 10513–10518. 10.1073/pnas.0804549105PubMed CentralPubMedView ArticleGoogle Scholar
  10. Patel RS, Jakymiw A, Yao B, Pauley BA, Carcamo WC, Katz J, Cheng JQ, Chan EK: High resolution of microRNA signatures in human whole saliva. Arch Oral Biol 2011, 56: 1506–1513. 10.1016/j.archoralbio.2011.05.015PubMed CentralPubMedView ArticleGoogle Scholar
  11. Wang G, Chan ES, Kwan BC, Li PK, Yip SK, Szeto CC, Ng CF: Expression of microRNAs in the urine of patients with bladder cancer. Clin Genitourin Cancer 2012, 10: 106–113. 10.1016/j.clgc.2012.01.001PubMedView ArticleGoogle Scholar
  12. Hausler SF, Keller A, Chandran PA, Ziegler K, Zipp K, Heuer S, Krockenberger M, Engel JB, Honig A, Scheffler M, Dietl J, Wischhusen J: Whole blood-derived miRNA profiles as potential new tools for ovarian cancer screening. Br J Cancer 2010, 103: 693–700. 10.1038/sj.bjc.6605833PubMed CentralPubMedView ArticleGoogle Scholar
  13. Taylor DD, Gercel-Taylor C: MicroRNA signatures of tumor-derived exosomes as diagnostic biomarkers of ovarian cancer. Gynecol Oncol 2008, 110: 13–21. 10.1016/j.ygyno.2008.04.033PubMedView ArticleGoogle Scholar
  14. Cannistra SA: Cancer of the ovary. N Engl J Med 2004, 351: 2519–2529. 10.1056/NEJMra041842PubMedView ArticleGoogle Scholar
  15. Resnick KE, Alder H, Hagan JP, Richardson DL, Croce CM, Cohn DE: The detection of differentially expressed microRNAs from the serum of ovarian cancer patients using a novel real-time PCR platform. Gynecol Oncol 2009, 112: 55–59. 10.1016/j.ygyno.2008.08.036PubMedView ArticleGoogle Scholar
  16. Chung YW, Bae HS, Song JY, Lee JK, Lee NW, Kim T, Lee KW: Detection of microRNA as novel biomarkers of epithelial ovarian cancer from the serum of ovarian cancer patients. Int J Gynecol Cancer 2013, 23: 673–679. 10.1097/IGC.0b013e31828c166dPubMedView ArticleGoogle Scholar
  17. Shapira I, Oswald M, Lovecchio J, Khalili H, Menzin A, Whyte J, Dos SL, Liang S, Bhuiya T, Keogh M, Mason C, Sultan K, Budman D, Gregersen PK, Lee AT: Circulating biomarkers for detection of ovarian cancer and predicting cancer outcomes. Br J Cancer 2014, 110: 976–983. 10.1038/bjc.2013.795PubMed CentralPubMedView ArticleGoogle Scholar
  18. Suryawanshi S, Vlad AM, Lin HM, Mantia-Smaldone G, Laskey R, Lee M, Lin Y, Donnellan N, Klein-Patel M, Lee T, Mansuria S, Elishaev E, Budiu R, Edwards RP, Huang X: Plasma microRNAs as novel biomarkers for endometriosis and endometriosis-associated ovarian cancer. Clin Cancer Res 2013, 19: 1213–1224. 10.1158/1078-0432.CCR-12-2726PubMed CentralPubMedView ArticleGoogle Scholar
  19. Zheng H, Zhang L, Zhao Y, Yang D, Song F, Wen Y, Hao Q, Hu Z, Zhang W, Chen K: Plasma miRNAs as diagnostic and prognostic biomarkers for ovarian cancer. PLoS One 2013, 8: e77853. 10.1371/journal.pone.0077853PubMed CentralPubMedView ArticleGoogle Scholar
  20. Shen W, Song M, Liu J, Qiu G, Li T, Hu Y, Liu H: MiR-26a promotes ovarian cancer proliferation and tumorigenesis. PLoS One 2014, 9: e86871. 10.1371/journal.pone.0086871PubMed CentralPubMedView ArticleGoogle Scholar
  21. Kan CW, Hahn MA, Gard GB, Maidens J, Huh JY, Marsh DJ, Howell VM: Elevated levels of circulating microRNA-200 family members correlate with serous epithelial ovarian cancer. BMC Cancer 2012, 12: 627. 10.1186/1471-2407-12-627PubMed CentralPubMedView ArticleGoogle Scholar
  22. Hong F, Li Y, Xu Y, Zhu L: Prognostic significance of serum microRNA-221 expression in human epithelial ovarian cancer. J Int Med Res 2013, 41: 64–71. 10.1177/0300060513475759PubMedView ArticleGoogle Scholar
  23. Guo F, Tian J, Lin Y, Jin Y, Wang L, Cui M: Serum microRNA-92 expression in patients with ovarian epithelial carcinoma. J Int Med Res 2013, 41: 1456–1461. 10.1177/0300060513487652PubMedView ArticleGoogle Scholar
  24. Xu YZ, Xi QH, Ge WL, Zhang XQ: Identification of serum microrna-21 as a biomarker for early detection and prognosis in human epithelial ovarian cancer. Asian Pac J Cancer Prev 2013, 14: 1057–1060. 10.7314/APJCP.2013.14.2.1057PubMedView ArticleGoogle Scholar
  25. Amant F, Moerman P, Neven P, Timmerman D, van Limbergen E, Vergote I: Endometrial cancer. Lancet 2005, 366: 491–505. 10.1016/S0140-6736(05)67063-8PubMedView ArticleGoogle Scholar
  26. Bansal N, Yendluri V, Wenham RM: The molecular biology of endometrial cancers and the implications for pathogenesis, classification, and targeted therapies. Cancer Control 2009, 16: 8–13.PubMedGoogle Scholar
  27. Zhai H, Karaayvaz M, Dong P, Sakuragi N, Ju J: Prognostic significance of miR-194 in endometrial cancer. Biomark Res 2013, 1: 12. 10.1186/2050-7771-1-12PubMed CentralPubMedView ArticleGoogle Scholar
  28. Tan ZQ, Liu FX, Tang HL, Su Q: [Expression and its clinical significance of hsa-miR-155 in serum of endometrial cancer]. Zhonghua Fu Chan Ke Za Zhi 2010, 45: 772–774.PubMedGoogle Scholar
  29. Torres A, Torres K, Pesci A, Ceccaroni M, Paszkowski T, Cassandrini P, Zamboni G, Maciejewski R: Deregulation of miR-100, miR-99a and miR-199b in tissues and plasma coexists with increased expression of mTOR kinase in endometrioid endometrial carcinoma. BMC Cancer 2012, 12: 369. 10.1186/1471-2407-12-369PubMed CentralPubMedView ArticleGoogle Scholar
  30. Torres A, Torres K, Pesci A, Ceccaroni M, Paszkowski T, Cassandrini P, Zamboni G, Maciejewski R: Diagnostic and prognostic significance of miRNA signatures in tissues and plasma of endometrioid endometrial carcinoma patients. Int J Cancer 2013, 132: 1633–1645. 10.1002/ijc.27840PubMedView ArticleGoogle Scholar
  31. Tsukamoto O, Miura K, Mishima H, Abe S, Kaneuchi M, Higashijima A, Miura S, Kinoshita A, Yoshiura KI, Masuzaki H: Identification of endometrioid endometrial carcinoma-associated microRNAs in tissue and plasma. Gynecol Oncol 2014, 132: 715–721. 10.1016/j.ygyno.2014.01.029PubMedView ArticleGoogle Scholar
  32. Wang WT, Zhao YN, Yan JX, Weng MY, Wang Y, Chen YQ, Hong SJ: Differentially expressed microRNAs in the serum of cervical squamous cell carcinoma patients before and after surgery. J Hematol Oncol 2014, 7: 6. 10.1186/1756-8722-7-6PubMed CentralPubMedView ArticleGoogle Scholar
  33. Yu J, Wang Y, Dong R, Huang X, Ding S, Qiu H: Circulating microRNA-218 was reduced in cervical cancer and correlated with tumor invasion. J Cancer Res Clin Oncol 2012, 138: 671–674. 10.1007/s00432-012-1147-9PubMedView ArticleGoogle Scholar
  34. Zhao S, Yao D, Chen J, Ding N: Circulating miRNA-20a and miRNA-203 for screening lymph node metastasis in early stage cervical cancer. Genet Test Mol Biomarkers 2013, 17: 631–636. 10.1089/gtmb.2013.0085PubMedView ArticleGoogle Scholar
  35. Chen J, Yao D, Li Y, Chen H, He C, Ding N, Lu Y, Ou T, Zhao S, Li L, Long F: Serum microRNA expression levels can predict lymph node metastasis in patients with early-stage cervical squamous cell carcinoma. Int J Mol Med 2013, 32: 557–567.PubMed CentralPubMedGoogle Scholar

Copyright

© Zhao et al.; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Advertisement