Next Article in Journal
Primary Human Blood Dendritic Cells for Cancer Immunotherapy—Tailoring the Immune Response by Dendritic Cell Maturation
Previous Article in Journal
Aptamers and Their Significant Role in Cancer Therapy and Diagnosis
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Biomedicines
Volume 3
Issue 4
10.3390/biomedicines3040270
biomedicines-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Circulating MicroRNAs as Biomarkers and Mediators of Cell–Cell Communication in Cancer

by
Molly A. Taylor
AstraZeneca, R&D Oncology iMed, Room 33F83/7 Mereside, Alderley Park, Macclesfield SK10 4TG, UK
Biomedicines 2015, 3(4), 270-281; https://doi.org/10.3390/biomedicines3040270
Submission received: 30 September 2015 / Revised: 3 November 2015 / Accepted: 5 November 2015 / Published: 9 November 2015
Browse Figures
Versions Notes

Abstract

:
The realization of personalized medicine for cancer will rely not only on the development of new therapies, but on biomarkers that direct these therapies to the right patient. MicroRNA expression profiles in the primary tumor have been shown to differ between cancer patients and healthy individuals, suggesting they might make useful biomarkers. However, examination of microRNA expression in the primary tumor requires an invasive biopsy procedure. More recently, microRNAs have been shown to be released from the primary tumor into the circulation where they can be utilized as non-invasive biomarkers to diagnose patients, predict prognosis, or indicate therapeutic response. This review provides an overview of the current use of circulating microRNAs as biomarkers as well as recent findings on their role in regulating cell signaling interactions in the tumor microenvironment.

Graphical Abstract

1. Introduction

Cancer is a leading cause of death worldwide, with an estimated 14.1 million new cancer cases and 8.2 million deaths occurring in 2012 worldwide [1]. Despite these grim statistics, the development of targeted therapies has helped to decrease the annual cancer death rate by about 20% over the past twenty years [2]. These targeted therapies are designed to inhibit specific cellular signaling defects that occur in a subset of patients. For instance, trastuzamab (Herceptin; Roche/Genentech, San Francisco, CA, USA), is used to treat breast cancer patients with HER2 (ERBB2) amplifications, imatinib (Gleevec; Novartis, Basil, Switzerland), is used to treat chronic myeloid leukemia only in patients that have a breakpoint cluster region, Abelson (BCR-ABL) fusion gene, and gefitinib (Iressa; AstraZeneca, Alderley Park, UK) works well in patients that have an activating mutation in the epidermal growth factor receptor (EGFR) receptor [3]. As these examples illustrate, targeted therapies require the selection of a subset of patients that have a specific mutation or other disease driver. As such, development of new targeted therapies will require the parallel identification of new biomarkers to help pair the right therapy with the right patient. Indeed, biomarkers are increasingly used to diagnose patients (diagnostic biomarkers), predict survival (prognostic biomarkers), or measure therapeutic response. While advances in genomics and molecular biology have led to the identification of novel biomarkers and diagnostic gene expression signatures [4,5,6], there is a substantial need for additional blood-based biomarkers to circumvent the need for invasive biopsy procedures.
MicroRNAs are an evolutionarily conserved class of small non-coding RNAs that repress target gene expression at the post-transcriptional level through binding to the 3’UTR of the target mRNA. The first microRNAs discovered were lin-4 and let-7, which were identified to be translational repressors of mRNAs that encode proteins of the heterochronic developmental timing pathway in C. elegans [7]. After these discoveries, intense research efforts have revealed that microRNAs play a major role in cellular development, differentiation, disease pathology and tumor progression. Moreover, microRNAs have been found at high levels in the circulation, where recent evidence suggests they may carry out cell signaling functions. Additionally, these circulating microRNAs have great potential for use as non-invasive biomarkers. This review will highlight recent findings on the use of microRNAs as biomarkers and discuss novel findings on their role in cell–cell communication and is not meant as a comprehensive overview of all circulating microRNA biomarker studies. Readers desiring a more comprehensive overview are directed to several recent reviews [8,9,10].

2. MicroRNA Biogenesis and Function

MicroRNAs are first transcribed in the nucleus, usually by RNA Pol II, into a 70–100 nucleotide hairpin primary microRNA transcript (pri-miRNA), which is then cleaved by the Drosha complex to produce a precursor microRNA (pre-miRNA). This pre-miRNA is then exported from the nucleus by Exportin 5, where it is cleaved by the Dicer complex, generating a short RNA duplex. One strand of this duplex is selected for incorporation into the RNA-induced silencing complex (RISC) together with Argonaute (Ago2), which guides the complex to its target mRNA [11]. Base pairing between a microRNA and the 3′UTR of its mRNA target is mainly determined by the 6 to 8-nucleotide sequence at the 5′ end of the microRNA, termed the “seed” sequence. The extent of sequence complementarity between the 5′-seed region of the loaded microRNA with that of its target mRNA 3′UTR dictates the mechanism of mRNA silencing [11]. Perfect base-pairing homology usually leads to mRNA cleavage and degradation, while imperfect base pairing leads to repression of protein translation. A single microRNA is capable of targeting numerous mRNAs. Recent evidence indicates that microRNAs can also bind to other regions in a target mRNA and that some microRNAs may function in a “non-canonical” manner to increase translation of specific mRNAs through recruitment of protein complexes [12]. Importantly, misexpression of a single microRNA can disrupt the expression of hundreds of proteins, thereby promoting tumor progression [13].

3. MicroRNAs in Cancer

Genome-wide microRNA profiling studies have shown that effectively all cancers exhibit unique microRNA expression profiles [14,15]. Additionally, microRNAs play active roles in regulating virtually all of the physiological processes that lead to tumor development, progression, and metastasis [13]. MicroRNAs have been credited with the ability to be both potent tumor suppressors in normal cells and to be dynamic tumor promoters in developing and progressing carcinomas. For example, miR-17–92, one of the most well characterized oncomiRs, has been shown to be upregulated in a variety of human tumors [16], where it exerts anti-apoptotic effects by downregulating Bim and PTEN tumor suppressors [17,18]. Similarly, miR-21 and miR-155 are commonly upregulated across numerous cancer types and have been shown to promote tumor growth and metastasis in numerous contexts [13]. In contrast, let-7, miR-15a, miR-16-1, and miR-34a act as a potent tumor suppressor by inducing apoptosis, cell cycle arrest, and senescence by downregulating a number of oncogenic mRNA targets (Bcl2, cyclin D1, CDKs 4 and 6, c-Myc, MET, N-Myc, and SIRT1) [13]. Additionally, other microRNAs, such as miR-181a can play the role of both oncogene and tumor suppressor depending on the cellular context in which they are expressed [19]. The ability of microRNAs to target multiple genes and modulate numerous signaling pathways has created considerable interest in their potential clinical utility as biomarkers.

4. MicroRNAs as Biomarkers

In addition to the central role that microRNAs play in modulating target gene expression, microRNAs represent promising biomarkers. Examination of microRNA expression profiles in primary tumors indicates that microRNA profiles reflect developmental lineage and differentiation state and that microRNA profiles are more accurate in classifying tumors of unknown origin than previously used mRNA profiles [14]. Moreover, microRNA signatures in primary tumors have been observed to possess more predictive power than their larger and more extensive mRNA signature counterparts [20]. More recently, microRNAs have been shown to be released from the primary tumor into the circulation. These cell-free microRNAs can be detected in virtually all body fluids including the whole blood, serum, plasma, urine, and saliva and have been shown to be remarkably stable under harsh conditions and able to survive high temperatures, extreme pH, and RNase activity [21]. The stability of microRNAs in biofluids can be attributed to the fact that they are shielded from RNase degradation by complexing with Ago proteins, association with high-density-lipoprotein (HDL), and packaging into exosomes [22]. Given (i) their frequent dysregulation in cancer, (ii) their tissue specific expression patterns and (iii) their high stability in body fluids, circulating microRNAs represent ideal candidates for non-invasive biomarkers to diagnose disease, predict prognosis, and measure therapeutic response.

4.1. Circulating MicroRNAs as Diagnostic Biomarkers

Often, diagnosis of cancer relies heavily on imaging techniques, such as CT scans to diagnose lung cancer, mammograms to diagnose breast cancer, and ultrasounds to diagnose ovarian cancer [23]. These technologies often lead to false-positives, necessitating an invasive biopsy procedure to confirm results. Additionally, imaging techniques are often unable to distinguish between benign and malignant lesions. Although there are several circulating protein biomarkers currently in use to diagnose cancer, such as CA-125 for diagnosis of ovarian cancer, CA19-9 for pancreatic cancer, and prostate specific antigen (PSA) for prostate cancer, these traditional biomarkers are limited by low sensitivity and the inability to distinguish between aggressive and indolent forms of disease [23]. Circulating microRNAs may represent a new class of biomarkers to improve upon current diagnostic techniques. For instance, expression of 10 microRNAs (miR-20a, miR-24, miR-25, miR-145, miR-152, miR-199-5p, miR-221, miR-222, miR-223, and miR-320) in the circulation was shown to distinguish non-small cell lung cancer (NSCLC) patients from healthy controls. Moreover, this signature could accurately classify serum samples that were collected up to 33 months ahead of diagnosis [24]. Similarly, increased expression of miR-10b, miR-155, and miR-195 along with a decrease in expression of miR-34a has been observed in the circulation of breast cancer patients over controls [25]. In prostate cancer, circulating levels of miR-141 along with 15 other microRNAs (miR-16, miR-92a, miR-92b, miR-103, miR-107, miR-197, miR-34b, miR-328, miR-485-3p, miR-486-5p, miR-574-3p, miR-636, miR-640, miR-766, and miR-885-5p) have been found to be higher in patients than in healthy controls [21,26]. In addition, circulating miR-221 has been shown to be higher in patients with ovarian cancer, melanoma, and lymphoma compared to healthy controls [27,28,29]. Taken together these studies suggest that microRNA biomarkers may be more sensitive than current circulating protein biomarkers, and than imaging techniques in cancer diagnosis (Table 1). However, more work is needed to determine which microRNAs (like miR-221) are commonly found in the circulation of patients with multiple types of cancer and which microRNAs may distinguish specific cancer types.
Table
Table 1. MicroRNAs with potential as circulating biomarkers for diagnosis of cancer.
Table 1. MicroRNAs with potential as circulating biomarkers for diagnosis of cancer.
Diagnostic miR(s)Disease SettingDescriptionReference(s)
miR-20a, miR-24, miR-25, miR-145, miR-152, miR-199-5p, miR-221, miR-222, miR-223, miR-320Lung Cancer10 microRNAs were found to have significantly different expression levels in NSCLC serum samples compared with the control serum samples.[24]
miR-10b, miR-155, miR-195, miR34aBreast CancerIncreased expression of miR-10b, miR-155, and miR-195 and decreased miR-34a was associated with disease.[25]
miR-221Ovarian Cancer, Melanoma, LymphomaIncrease expression in several different cancers compared to control serum samples.[27,28,29]
miR-141, miR-16, miR-92a, miR-92b, miR-103, miR-107, miR-197, miR-34b, miR-328, miR-485-3p, miR-486-5p, miR-574-3p, miR-636, miR-640, miR-766, and miR-885-5p.ProstateLevels of these microRNAs were found to be higher in the serum of patients compared to controls.[21,26]

4.2. Circulating MicroRNAs as Prognostic Biomarkers

In addition to their use in diagnosing the presence of cancer, circulating microRNA signatures have also been shown to predict survival in several settings. For example, miR-21, a well characterized oncomiR which functions to enhance invasion and metastasis of the primary tumor across numerous cancer types [13] has been found to be high in the circulation of patients with breast, ovarian, colorectal, gastric, osteosarcoma, and prostate cancer where it predicts for late stage metastatic disease [30,31,32,33,34,35,36,37,38,39]. Likewise, several other well characterized oncomiRs, such as miR-17–92, miR-9, miR-146a, miR-155, miR-181, and miR-221/222 have been found at high levels in the circulation of patients with late stage tumors or metastatic disease (Table 2). Interestingly, several recent studies show that microRNA concentrations are higher in the serum of cancer patients than in healthy controls and higher still in the serum of patients with metastatic tumors, suggesting a progressive rise in serum microRNA levels with disease progression [40,41,42]. Taken together this data suggests that oncomiRs that play a role in driving tumor progression are released from the primary tumor into the circulation where they can be used to gauge patient prognosis.
Table
Table 2. MicroRNAs with potential as circulating biomarkers for predicting prognosis of cancer.
Table 2. MicroRNAs with potential as circulating biomarkers for predicting prognosis of cancer.
Prognostic miR(s)Disease SettingDescriptionReference(s)
miR-21Breast Cancer, Ovarian Cancer, Colorectal Cancer, Gastric Cancer, Osteosarcoma, Prostate CancerPredicts for late stage and/or metastatic cancer.[30,31,32,33,34,35,36,37,38,39]
miR-17–92Breast Cancer, Prostate Cancer, Melanoma, Ovarian CancerCirculating levels correlate with metastatic disease.[41,43,44,45]
miR-9MelanomaSerum levels predict distant metastatic lesions.[46]
miR-146amelanoma, Gastric CancerPlasma and serum levels predict lymph node metastasis.[34,37]
miR-155Breast Cancer, Colorectal Cancer, Lung Cancer, Melanoma, DLBCLSerum or plasma levels associated with metastasis and decreased relapse-free survival.[41,44,47,48,49]
miR-181MelanomaPlasma levels are associated with increased metastasis.[44]
miR-221/222Ovarian Cancer, Melanoma, Prostate Cancer, LymphomaPlasma/Serum levels associated with disease progression and metastasis.[27,28,29,38]

4.3. MicroRNAs as Biomarkers of Therapeutic Response

A major need in the development of targeted therapies is biomarkers that can be used to monitor patient response. Several recent studies indicate that circulating microRNAs have the potential to be high sensitivity biomarkers for patient response. Indeed, primary tumor expressed microRNAs decrease in the plasma after surgical resection [9]. For example, plasma levels of miR-17-3p and miR-92 decrease after surgical removal of colorectal cancers [50], while miR-184 serum levels decrease after surgical removal of tongue cancer [51]. In breast cancer patients circulating levels of miR-210 were associated with trastuzamab sensitivity, suggesting that this microRNA might be used to monitor response to therapy [52]. Likewise, in addition to miR-155 acting as a diagnostic biomarker to discriminate cancer patients from healthy subjects, it has also been shown to decrease after surgery or chemotherapy treatment in breast cancer patients, suggesting its use as an indicator for treatment response [53]. Taken together these studies indicate that circulating microRNA levels change in response to therapy or surgery (Table 3). However, to date, large scale studies measuring microRNA expression across various treatments and tumor types has not been performed and more detailed studies are needed to determine the utility of specific circulating microRNA profiles in predicting response to specific treatments.
Table
Table 3. Circulating microRNAs with potential for predicting therapeutic response.
Table 3. Circulating microRNAs with potential for predicting therapeutic response.
Therapeutic Response miRsDisease SettingDescriptionReference(s)
miR-210Breast CancerAssociated with trastuzamab sensitivity.[52]
miR-155Breast CancerCirculating levels decrease after surgery or chemotherapy treatment.[53]
miR-17-3p and miR-92Colorectal CancerCirculating levels decrease after surgical removal of the tumor.[50]
miR-184Tongue CancerCirculating levels decrease after surgical removal of the tumor.[51]

5. Circulating MicroRNAs as Mediators of Cell Communication

Given that microRNAs are found in the circulation at much higher levels than any other circulating nucleic acid [10], it is perhaps not surprising that recent evidence points to circulating microRNAs carrying out biological signaling functions by acting as autocrine, paracrine, and endocrine signaling molecules within the body. While Ago-bound microRNAs in the circulation are thought to be non-specific remnants of cell death [54,55], packaging of microRNAs into exosomes is thought to occur through a specialized sorting mechanism [22]. Although, the exact mechanism of sorting remains incompletely understood, exosome profiling has shown that exosomes from different cellular origins contain unique microRNA expression profiles that may reflect the state of the cell of origin [55]. Moreover, tumor cell-secreted exosomes deliver their microRNA cargo to cells in the tumor microenvironment, initiating silencing of mRNAs and reprogramming of the target cell transcriptome, which can lead to the promotion of tumor growth, angiogenesis, immune suppression, and metastasis (Figure 1). Recent work from Melo et al. [56] has shown that breast cancer exosomes are specifically enriched in microRNAs compared to normal cells and that these exosomes can instigate non-tumorigenic epithelial cells to form tumors in a microRNA-dependent manner [56]. Additionally, several lines of research indicate that exosomal microRNAs are capable of modulating the tumor microenvironment and eliciting tumor immune responses. For example, exosomal microRNAs secreted by chronic lymphocytic leukemia (CLL) cells have been shown to contribute to reprogramming of surrounding stromal cells, resulting in enhanced proliferation, migration, and secretion of inflammatory cytokines resulting in a tumor-supporting microenvironment [57]. In addition, exosomal miR-9 has been shown to inhibit expression of major histocompatibility complex (MHC) class I preventing recognition of tumor cells by the immune system [58]. Similarly, exosomally secreted miR-21 has been shown to bind to toll-like receptors (TLRs) on immune cells leading to TLR activation and secretion of inflammatory cytokines that promote metastasis [59]. In addition to reprogramming the local tumor microenvironment exosome-derived microRNAs have been shown to function to promote metastasis to distant sites. The miR-200 family has traditionally been characterized as a tumor suppressive microRNA in the cell through its ability to decrease Zeb1 expression leading to the suppression of epithelial-mesenchymal transition (EMT) and metastasis [13]. However, the miR-200 family has been shown to be enriched in the serum of patients with metastatic breast cancer [60] and has recently been shown to confer non-metastatic cells with the ability to colonize distant organ sites of metastasis [61]. Likewise, miR-10b secreted from metastatic breast cancer cells has been shown to confer invasive properties on non-malignant cells [12]. Taken together these findings clearly show that tumor cell-secreted microRNAs contained in exosomes are not simply bystanders of disease, but biologically active molecules that can elicit changes in the tumor microenvironment. This suggests new opportunities for the development of exosomal-based biomarkers and therapies. However, more work is needed to uncover the mechanisms of sorting microRNAs into exosomes and to further define tumor specific exosomal microRNA profiles.
Biomedicines 03 00270 g001 1024
Figure 1. Cell–cell communication through exosomal microRNAs. MicroRNAs contained in exosomes are released from tumor cells where they can enter the bloodstream and circulate through the body to distant sites. These exosomal microRNAs are taken up by recipient cells, where the microRNAs can then suppress target genes in recipient cells.
Figure 1. Cell–cell communication through exosomal microRNAs. MicroRNAs contained in exosomes are released from tumor cells where they can enter the bloodstream and circulate through the body to distant sites. These exosomal microRNAs are taken up by recipient cells, where the microRNAs can then suppress target genes in recipient cells.
Biomedicines 03 00270 g001

6. Conclusions

MicroRNA biology remains an ever-expanding field. Research published over the last decade clearly indicates that microRNAs play a significant role in modulating the signaling pathways that drive cancer progression in the primary tumor. Moreover, some of these microRNAs are released from the tumor into the circulation, where they carry out biological functions and can be utilized as biomarkers. Although it is clear that microRNA profiles can provide unique biomarkers both in primary tumor biopsies and in the circulation, some studies have generated varying results [8], possibly due to different detection methods and difference in sample collection methods. So, further work needs to be done to determine the specificity of microRNA biomarkers for different types of cancer as well as to standardize collection and analysis methodologies. To date, a majority of studies have been performed on relatively small sample sizes, so larger prospective clinical trials are needed to validate these results. Additionally, more work is needed to define the difference between primary tumor and circulating microRNA profiles for individual tumor types. Furthermore, there is a lack of data from comprehensive profiling of circulating microRNA during chemotherapy treatment, which would be useful for identifying new circulating markers of therapeutic response. Ultimately, these findings could form the foundation for developing new biomarkers to improve the clinical course of cancer patients.

Acknowledgments

Members of the Targets Biology group at AstraZeneca are gratefully acknowledged for critical comments and reading of the manuscript. Funding for M.A. Taylor was provided by the AstraZeneca Postdoc Programme.

Conflicts of Interest

Molly A. Taylor is an employee of AstraZeneca.

References

  1. Torre, L.A.; Bray, F.; Siegel, R.L.; Ferlay, J.; Lortet-Tieulent, J.; Jemal, A. Global cancer statistics, 2012. CA Cancer J. Clin. 2015, 65, 87–108. [Google Scholar] [CrossRef] [PubMed]
  2. Siegel, R.; Ma, J.; Zou, Z.; Jemal, A. Cancer statistics, 2014. CA Cancer J. Clin. 2014, 64, 9–29. [Google Scholar] [CrossRef] [PubMed]
  3. De Gramont, A.; Watson, S.; Ellis, L.M.; Rodon, J.; Tabernero, J.; Hamilton, S.R. Pragmatic issues in biomarker evaluation for targeted therapies in cancer. Nat. Rev. Clin. Oncol. 2015, 12, 197–212. [Google Scholar] [CrossRef] [PubMed]
  4. Golub, T.R.; Slonim, D.K.; Tamayo, P.; Huard, C.; Gaasenbeek, M.; Mesirov, J.P.; Coller, H.; Loh, M.L.; Downing, J.R.; Caligiuri, M.A.; et al. Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring. Science 1999, 286, 531–537. [Google Scholar] [CrossRef] [PubMed]
  5. Perou, C.M.; Sorlie, T.; Eisen, M.B.; van de Rijn, M.; Jeffrey, S.S.; Rees, C.A.; Pollack, J.R.; Ross, D.T.; Johnsen, H.; Akslen, L.A.; et al. Molecular portraits of human breast tumours. Nature 2000, 406, 747–752. [Google Scholar] [CrossRef] [PubMed]
  6. Hayes, D.N.; Monti, S.; Parmigiani, G.; Gilks, C.B.; Naoki, K.; Bhattacharjee, A.; Socinski, M.A.; Perou, C.; Meyerson, M. Gene expression profiling reveals reproducible human lung adenocarcinoma subtypes in multiple independent patient cohorts. J. Clin. Oncol. 2006, 24, 5079–5090. [Google Scholar] [CrossRef] [PubMed]
  7. Bartel, D.P. MicroRNAs: Genomics, biogenesis, mechanism, and function. Cell 2004, 116, 281–297. [Google Scholar] [CrossRef]
  8. Cortez, M.A.; Bueso-Ramos, C.; Ferdin, J.; Lopez-Berestein, G.; Sood, A.K.; Calin, G.A. MicroRNAs in body fluids—The mix of hormones and biomarkers. Nat. Rev. Clin. Oncol. 2011, 8, 467–477. [Google Scholar] [CrossRef] [PubMed]
  9. Schwarzenbach, H.; Nishida, N.; Calin, G.A.; Pantel, K. Clinical relevance of circulating cell-free microRNAs in cancer. Nat. Rev. Clin. Oncol. 2014, 11, 145–156. [Google Scholar] [CrossRef] [PubMed]
  10. Aleckovic, M.; Kang, Y. Regulation of cancer metastasis by cell-free miRNAs. Biochim. Biophys. Acta 2015, 1855, 24–42. [Google Scholar] [PubMed]
  11. Winter, J.; Jung, S.; Keller, S.; Gregory, R.I.; Diederichs, S. Many roads to maturity: MicroRNA biogenesis pathways and their regulation. Nat. Cell Biol. 2009, 11, 228–234. [Google Scholar] [CrossRef] [PubMed]
  12. Bertoli, G.; Cava, C.; Castiglioni, I. MicroRNAs: New biomarkers for diagnosis, prognosis, therapy prediction and therapeutic tools for breast cancer. Theranostics 2015, 5, 1122–1143. [Google Scholar] [CrossRef] [PubMed]
  13. Taylor, M.A.; Schiemann, W.P. Therapeutic opportunities for targeting microRNAs in cancer. Mol. Cell. Ther. 2014, 2. [Google Scholar] [CrossRef] [PubMed]
  14. Lu, J.; Getz, G.; Miska, E.A.; Alvarez-Saavedra, E.; Lamb, J.; Peck, D.; Sweet-Cordero, A.; Ebert, B.L.; Mak, R.H.; Ferrando, A.A.; et al. MicroRNA expression profiles classify human cancers. Nature 2005, 435, 834–838. [Google Scholar] [CrossRef] [PubMed]
  15. Calin, G.A.; Croce, C.M. MicroRNA signatures in human cancers. Nat. Rev. Cancer 2006, 6, 857–866. [Google Scholar] [CrossRef] [PubMed]
  16. He, L.; Thomson, J.M.; Hemann, M.T.; Hernando-Monge, E.; Mu, D.; Goodson, S.; Powers, S.; Cordon-Cardo, C.; Lowe, S.W.; Hannon, G.J.; et al. A microRNA polycistron as a potential human oncogene. Nature 2005, 435, 828–833. [Google Scholar] [CrossRef] [PubMed]
  17. Xiao, C.; Srinivasan, L.; Calado, D.P.; Patterson, H.C.; Zhang, B.; Wang, J.; Henderson, J.M.; Kutok, J.L.; Rajewsky, K. Lymphoproliferative disease and autoimmunity in mice with increased mir-17–92 expression in lymphocytes. Nat. Immunol. 2008, 9, 405–414. [Google Scholar] [CrossRef] [PubMed]
  18. Ventura, A.; Young, A.G.; Winslow, M.M.; Lintault, L.; Meissner, A.; Erkeland, S.J.; Newman, J.; Bronson, R.T.; Crowley, D.; Stone, J.R.; et al. Targeted deletion reveals essential and overlapping functions of the mir-17 through 92 family of miRNA clusters. Cell 2008, 132, 875–886. [Google Scholar] [CrossRef] [PubMed]
  19. Seoudi, A.M.; Lashine, Y.A.; Abdelaziz, A.I. MicroRNA-181a—A tale of discrepancies. Expert Rev. Mol. Med. 2012, 14. [Google Scholar] [CrossRef] [PubMed]
  20. Liu, A.; Tetzlaff, M.T.; Vanbelle, P.; Elder, D.; Feldman, M.; Tobias, J.W.; Sepulveda, A.R.; Xu, X. MicroRNA expression profiling outperforms mRNA expression profiling in formalin-fixed paraffin-embedded tissues. Int J. Clin. Exp. Pathol. 2009, 2, 519–527. [Google Scholar] [PubMed]
  21. Mitchell, P.S.; Parkin, R.K.; Kroh, E.M.; Fritz, B.R.; Wyman, S.K.; Pogosova-Agadjanyan, E.L.; Peterson, A.; Noteboom, J.; O’Briant, K.C.; Allen, A.; et al. Circulating microRNAs as stable blood-based markers for cancer detection. Proc. Natl. Acad. Sci. USA 2008, 105, 10513–10518. [Google Scholar] [CrossRef] [PubMed]
  22. Falcone, G.; Felsani, A.; D’Agnano, I. Signaling by exosomal microRNAs in cancer. J. Exp. Clin. Cancer Res. 2015, 34. [Google Scholar] [CrossRef] [PubMed]
  23. Hanash, S.M.; Baik, C.S.; Kallioniemi, O. Emerging molecular biomarkers—blood-based strategies to detect and monitor cancer. Nat. Rev. Clin Oncol. 2011, 8, 142–150. [Google Scholar] [CrossRef] [PubMed]
  24. Chen, X.; Hu, Z.; Wang, W.; Ba, Y.; Ma, L.; Zhang, C.; Wang, C.; Ren, Z.; Zhao, Y.; Wu, S.; et al. Identification of ten serum microRNAs from a genome-wide serum microRNA expression profile as novel noninvasive biomarkers for nonsmall cell lung cancer diagnosis. Int J. Cancer 2012, 130, 1620–1628. [Google Scholar] [CrossRef] [PubMed]
  25. Hagrass, H.A.; Sharaf, S.; Pasha, H.F.; Tantawy, E.A.; Mohamed, R.H.; Kassem, R. Circulating microRNAs—A new horizon in molecular diagnosis of breast cancer. Genes Cancer 2015, 6, 281–287. [Google Scholar] [PubMed]
  26. Lodes, M.J.; Caraballo, M.; Suciu, D.; Munro, S.; Kumar, A.; Anderson, B. Detection of cancer with serum miRNAs on an oligonucleotide microarray. PLoS ONE 2009, 4, e6229. [Google Scholar] [CrossRef] [PubMed]
  27. 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. [Google Scholar] [CrossRef] [PubMed]
  28. Kanemaru, H.; Fukushima, S.; Yamashita, J.; Honda, N.; Oyama, R.; Kakimoto, A.; Masuguchi, S.; Ishihara, T.; Inoue, Y.; Jinnin, M.; et al. The circulating microRNA-221 level in patients with malignant melanoma as a new tumor marker. J. Dermatol. Sci. 2011, 61, 187–193. [Google Scholar] [CrossRef] [PubMed]
  29. Guo, H.Q.; Huang, G.L.; Guo, C.C.; Pu, X.X.; Lin, T.Y. Diagnostic and prognostic value of circulating mir-221 for extranodal natural killer/t-cell lymphoma. Dis Markers 2010, 29, 251–258. [Google Scholar] [CrossRef] [PubMed]
  30. Asaga, S.; Kuo, C.; Nguyen, T.; Terpenning, M.; Giuliano, A.E.; Hoon, D.S. Direct serum assay for microRNA-21 concentrations in early and advanced breast cancer. Clin. Chem. 2011, 57, 84–91. [Google Scholar] [CrossRef] [PubMed]
  31. Si, H.; Sun, X.; Chen, Y.; Cao, Y.; Chen, S.; Wang, H.; Hu, C. Circulating microRNA-92a and microRNA-21 as novel minimally invasive biomarkers for primary breast cancer. J. Cancer Res. Clin. Oncol. 2013, 139, 223–229. [Google Scholar] [CrossRef] [PubMed]
  32. Xu, Y.Z.; Xi, Q.H.; Ge, W.L.; Zhang, X.Q. 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. [Google Scholar] [CrossRef] [PubMed]
  33. Yin, J.; Bai, Z.; Song, J.; Yang, Y.; Wang, J.; Han, W.; Zhang, J.; Meng, H.; Ma, X.; Wang, T.; et al. Differential expression of serum miR-126, miR-141 and miR-21 as novel biomarkers for early detection of liver metastasis in colorectal cancer. Chin. J. Cancer Res. 2014, 26, 95–103. [Google Scholar] [PubMed]
  34. Kim, S.Y.; Jeon, T.Y.; Choi, C.I.; Kim, D.H.; Kim, G.H.; Ryu, D.Y.; Lee, B.E.; Kim, H.H. Validation of circulating miRNA biomarkers for predicting lymph node metastasis in gastric cancer. J. Mol. Diagn. 2013, 15, 661–669. [Google Scholar] [CrossRef] [PubMed]
  35. Ma, G.J.; Gu, R.M.; Zhu, M.; Wen, X.; Li, J.T.; Zhang, Y.Y.; Zhang, X.M.; Chen, S.Q. Plasma post-operative miR-21 expression in the prognosis of gastric cancers. Asian Pac. J. Cancer Prev. 2013, 14, 7551–7554. [Google Scholar] [CrossRef] [PubMed]
  36. Ouyang, L.; Liu, P.; Yang, S.; Ye, S.; Xu, W.; Liu, X. A three-plasma miRNA signature serves as novel biomarkers for osteosarcoma. Med. Oncol. 2013, 30. [Google Scholar] [CrossRef] [PubMed]
  37. Watahiki, A.; Macfarlane, R.J.; Gleave, M.E.; Crea, F.; Wang, Y.; Helgason, C.D.; Chi, K.N. Plasma miRNAs as biomarkers to identify patients with castration-resistant metastatic prostate cancer. Int. J. Mol. Sci. 2013, 14, 7757–7770. [Google Scholar] [CrossRef] [PubMed]
  38. Yaman Agaoglu, F.; Kovancilar, M.; Dizdar, Y.; Darendeliler, E.; Holdenrieder, S.; Dalay, N.; Gezer, U. Investigation of miR-21, miR-141, and miR-221 in blood circulation of patients with prostate cancer. Tumour Biol. 2011, 32, 583–588. [Google Scholar] [CrossRef] [PubMed]
  39. Zhang, H.L.; Yang, L.F.; Zhu, Y.; Yao, X.D.; Zhang, S.L.; Dai, B.; Zhu, Y.P.; Shen, Y.J.; Shi, G.H.; Ye, D.W. Serum miRNA-21: Elevated levels in patients with metastatic hormone-refractory prostate cancer and potential predictive factor for the efficacy of docetaxel-based chemotherapy. Prostate 2011, 71, 326–331. [Google Scholar] [CrossRef] [PubMed]
  40. Roth, C.; Rack, B.; Muller, V.; Janni, W.; Pantel, K.; Schwarzenbach, H. Circulating microRNAs as blood-based markers for patients with primary and metastatic breast cancer. Breast Cancer Res. 2010, 12. [Google Scholar] [CrossRef] [PubMed]
  41. Eichelser, C.; Flesch-Janys, D.; Chang-Claude, J.; Pantel, K.; Schwarzenbach, H. Deregulated serum concentrations of circulating cell-free microRNAs miR-17, miR-34a, miR-155, and miR-373 in human breast cancer development and progression. Clin. Chem. 2013, 59, 1489–1496. [Google Scholar] [CrossRef] [PubMed]
  42. Greenberg, E.; Besser, M.J.; Ben-Ami, E.; Shapira-Frommer, R.; Itzhaki, O.; Zikich, D.; Levy, D.; Kubi, A.; Eyal, E.; Onn, A.; et al. A comparative analysis of total serum miRNA profiles identifies novel signature that is highly indicative of metastatic melanoma: A pilot study. Biomarkers 2013, 18, 502–508. [Google Scholar] [CrossRef] [PubMed]
  43. Bryant, R.J.; Pawlowski, T.; Catto, J.W.; Marsden, G.; Vessella, R.L.; Rhees, B.; Kuslich, C.; Visakorpi, T.; Hamdy, F.C. Changes in circulating microRNA levels associated with prostate cancer. Br. J. Cancer 2012, 106, 768–774. [Google Scholar] [CrossRef] [PubMed]
  44. Achberger, S.; Aldrich, W.; Tubbs, R.; Crabb, J.W.; Singh, A.D.; Triozzi, P.L. Circulating immune cell and microRNA in patients with uveal melanoma developing metastatic disease. Mol. Immunol. 2014, 58, 182–186. [Google Scholar] [CrossRef] [PubMed]
  45. 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. [Google Scholar] [CrossRef] [PubMed]
  46. Huang, V.; Place, R.F.; Portnoy, V.; Wang, J.; Qi, Z.; Jia, Z.; Yu, A.; Shuman, M.; Yu, J.; Li, L.C. Upregulation of cyclin b1 by miRNA and its implications in cancer. Nucleic Acids Res. 2012, 40, 1695–1707. [Google Scholar] [CrossRef] [PubMed]
  47. Chen, J.; Wang, W.; Zhang, Y.; Chen, Y.; Hu, T. Predicting distant metastasis and chemoresistance using plasma miRNAs. Med. Oncol. 2014, 31. [Google Scholar] [CrossRef] [PubMed]
  48. Zheng, D.; Haddadin, S.; Wang, Y.; Gu, L.Q.; Perry, M.C.; Freter, C.E.; Wang, M.X. Plasma microRNAs as novel biomarkers for early detection of lung cancer. Int. J. Clin. Exp. Pathol. 2011, 4, 575–586. [Google Scholar] [PubMed]
  49. Lawrie, C.H.; Gal, S.; Dunlop, H.M.; Pushkaran, B.; Liggins, A.P.; Pulford, K.; Banham, A.H.; Pezzella, F.; Boultwood, J.; Wainscoat, J.S.; et al. Detection of elevated levels of tumour-associated microRNAs in serum of patients with diffuse large B-cell lymphoma. Br. J. Haematol. 2008, 141, 672–675. [Google Scholar] [CrossRef] [PubMed]
  50. Ng, E.K.; Chong, W.W.; Jin, H.; Lam, E.K.; Shin, V.Y.; Yu, J.; Poon, T.C.; Ng, S.S.; Sung, J.J. Differential expression of microRNAs in plasma of patients with colorectal cancer: A potential marker for colorectal cancer screening. Gut 2009, 58, 1375–1381. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  51. Wong, T.S.; Liu, X.B.; Wong, B.Y.; Ng, R.W.; Yuen, A.P.; Wei, W.I. Mature miR-184 as potential oncogenic microRNA of squamous cell carcinoma of tongue. Clin. Cancer Res. 2008, 14, 2588–2592. [Google Scholar] [CrossRef] [PubMed]
  52. Jung, E.J.; Santarpia, L.; Kim, J.; Esteva, F.J.; Moretti, E.; Buzdar, A.U.; Di Leo, A.; Le, X.F.; Bast, R.C., Jr.; Park, S.T.; et al. Plasma microRNA 210 levels correlate with sensitivity to trastuzumab and tumor presence in breast cancer patients. Cancer 2012, 118, 2603–2614. [Google Scholar] [CrossRef] [PubMed]
  53. Sun, Y.; Wang, M.; Lin, G.; Sun, S.; Li, X.; Qi, J.; Li, J. Serum microRNA-155 as a potential biomarker to track disease in breast cancer. PLoS ONE 2012, 7, e47003. [Google Scholar] [CrossRef] [PubMed]
  54. Turchinovich, A.; Burwinkel, B. Distinct ago1 and ago2 associated miRNA profiles in human cells and blood plasma. RNA Biol. 2012, 9, 1066–1075. [Google Scholar] [CrossRef] [PubMed]
  55. Turchinovich, A.; Weiz, L.; Langheinz, A.; Burwinkel, B. Characterization of extracellular circulating microRNA. Nucleic Acids Res. 2011, 39, 7223–7233. [Google Scholar] [CrossRef] [PubMed]
  56. Melo, S.A.; Sugimoto, H.; O’Connell, J.T.; Kato, N.; Villanueva, A.; Vidal, A.; Qiu, L.; Vitkin, E.; Perelman, L.T.; Melo, C.A.; et al. Cancer exosomes perform cell-independent microRNA biogenesis and promote tumorigenesis. Cancer Cell 2014, 26, 707–721. [Google Scholar] [CrossRef] [PubMed]
  57. Paggetti, J.; Haderk, F.; Seiffert, M.; Janji, B.; Distler, U.; Ammerlaan, W.; Kim, Y.J.; Adam, J.; Lichter, P.; Solary, E.; et al. Exosomes released by chronic lymphocytic leukemia cells induce the transition of stromal cells into cancer-associated fibroblasts. Blood 2015, 126, 1106–1117. [Google Scholar] [CrossRef] [PubMed]
  58. Gao, F.; Zhao, Z.L.; Zhao, W.T.; Fan, Q.R.; Wang, S.C.; Li, J.; Zhang, Y.Q.; Shi, J.W.; Lin, X.L.; Yang, S.; et al. MiR-9 modulates the expression of interferon-regulated genes and MHC class I molecules in human nasopharyngeal carcinoma cells. Biochem. Biophys. Res. Commun. 2013, 431, 610–616. [Google Scholar] [CrossRef] [PubMed]
  59. Fabbri, M.; Paone, A.; Calore, F.; Galli, R.; Gaudio, E.; Santhanam, R.; Lovat, F.; Fadda, P.; Mao, C.; Nuovo, G.J.; et al. MicroRNAs bind to toll-like receptors to induce prometastatic inflammatory response. Proc. Natl. Acad. Sci. USA 2012, 109, E2110–E2116. [Google Scholar] [CrossRef] [PubMed]
  60. Madhavan, D.; Zucknick, M.; Wallwiener, M.; Cuk, K.; Modugno, C.; Scharpff, M.; Schott, S.; Heil, J.; Turchinovich, A.; Yang, R.; et al. Circulating miRNAs as surrogate markers for circulating tumor cells and prognostic markers in metastatic breast cancer. Clin. Cancer Res. 2012, 18, 5972–5982. [Google Scholar] [CrossRef] [PubMed]
  61. Le, M.T.; Hamar, P.; Guo, C.; Basar, E.; Perdigao-Henriques, R.; Balaj, L.; Lieberman, J. MiR-200-containing extracellular vesicles promote breast cancer cell metastasis. J. Clin. Invest. 2014, 124, 5109–5128. [Google Scholar] [CrossRef] [PubMed]

Share and Cite

MDPI and ACS Style

Taylor, M.A. Circulating MicroRNAs as Biomarkers and Mediators of Cell–Cell Communication in Cancer. Biomedicines 2015, 3, 270-281. https://doi.org/10.3390/biomedicines3040270

AMA Style

Taylor MA. Circulating MicroRNAs as Biomarkers and Mediators of Cell–Cell Communication in Cancer. Biomedicines. 2015; 3(4):270-281. https://doi.org/10.3390/biomedicines3040270

Chicago/Turabian Style

Taylor, Molly A. 2015. "Circulating MicroRNAs as Biomarkers and Mediators of Cell–Cell Communication in Cancer" Biomedicines 3, no. 4: 270-281. https://doi.org/10.3390/biomedicines3040270

Article Metrics

Back to TopTop