Open Access

Circulating miRNAs in cancer: from detection to therapy

Journal of Hematology & Oncology20147:86

DOI: 10.1186/s13045-014-0086-0

Received: 26 September 2014

Accepted: 11 November 2014

Published: 5 December 2014

Abstract

Since the discovery of circulating microRNAs (miRNAs) in body fluids, an increasing number of studies have focused on their potential as non-invasive biomarkers and as therapeutic targets or tools for many diseases, particularly for cancers. Because of their stability, miRNAs are easily detectable in body fluids. Extracellular miRNAs have potential as biomarkers for the prediction and prognosis of cancer. Moreover, they also enable communication between cells within the tumor microenvironment, thereby influencing tumorigenesis. In this review, we summarize the progresses made over the past decade regarding circulating miRNAs, from the development of detection methods to their clinical application as biomarkers and therapeutic tools for cancer. We also discuss the advantages and limitations of different detection methods and the pathways of circulating miRNAs in cell-cell communication, in addition to their clinical pharmacokinetics and toxicity in human organs. Finally, we highlight the potential of circulating miRNAs in clinical applications for cancer.

Introduction

MiRNAs are a class of small, single-stranded non-coding RNAs of 19–24 nt in length that primarily function at the posttranscriptional level [1]–[4]. MiRNAs function in many biological processes, such as stem cell differentiation, cell proliferation, cell apoptosis, and embryonic development [5]–[7]. The majority of miRNAs appear to be tissue-specific, and aberrant expression of miRNAs is associated with many diseases including cancer [8]–[10].

Previous studies have demonstrated that miRNAs are stable in serum and plasma and that their expression profile responds to changes under different physiological and pathological conditions [11],[12]. Although circulating miRNAs may serve as biomarkers for various types of cancers [12]–[14], the isolation and measurement of circulating miRNAs remains a challenging task. In addition, although many studies have attempted to explain the origin and function of circulating miRNAs in cancer patients, no definitive source for these molecules has been proposed. Some cell-free miRNAs in body fluids may be packaged in exosomes, microvesicles or RNA-binding-proteins, which provide protection from RNases [15]–[19], and enable their transfer from one cell to another during diverse biological processes. By defining tumors as relatively homogeneous cancer cells formed in an independent microenvironment, circulating miRNAs may play a novel role as regulators of cell-cell communications during cancer formation [20],[21].

In this review, we summarize recent progress made in understanding the role of circulating miRNAs in cancer, including the application of different detection methods and the quantification of serum miRNAs as non-invasive biomarkers for cancer diagnostics. We also discuss implications for serum miRNAs in cell-to-cell communication and review their roles in the development and progression of cancer and in cancer therapy.

Detection methods to quantify serum miRNAs in cancer patients

Although a number of studies have reported that miRNAs are stable in serum and plasma and that their expression profiles change under different physiological and pathological conditions, their low enrichment in serum and the isolation and quantification of circulating miRNAs is one of the major issues in investigating circulating miRNAs. Currently, two major global miRNA profiling platforms have been suggested: microarrays and quantitative polymerase chain reaction (qPCR) based methods including relative quantification RT-PCR [14],[22],[23] and absolute quantitative PCR [24]–[26]. The methods used were shown in Table 1. The most convenient and powerful method is relative quantification RT-PCR, which has been widely used. This method can be used to detect miRNAs from either tissue samples or serum samples [22],[24],[27]. However, this method requires a suitable internal control, and some researchers have noted that internal controls, such as U6 [28], UNR6B [23], miR-16 [29] and miR-39 [30], are not stable or reliable. For example, circulating miR-16 can serve as an internal control in prostate cancer [29] but it is dysregulated in multiple myeloma [31] and early rheumatoid arthritis [32], thus indicating that the use of internal controls for serum requires carefully planning. To overcome this problem, some studies have suggested adding an external control to normalize the level of circulating miRNAs. The exogenous references that have been used are non-human mature miRNAs, such as cel-miR-39 [33], cel-miR-54 [26] and cel-miR-238 [34], which are spiked into the serum samples prior to RNA extraction. However, it is difficult control the amount of this artificial external control added into different serum samples. Because of the difficulties regarding endogenous controls, absolute quantitative PCR was developed. This method can be used to measure circulating miRNA expression independently, and the CT value does not require normalizing using endogenous or external controls, such as U6 or housekeeping miRNAs [35],[36]. However, this method also has disadvantages; for example, the standard curve for absolute quantitative PCR for specific miRNAs must be initially constructed using a series of standards, which is labor-intensive, time-consuming and relatively costly.
Table 1

Summary of the circulating miRNAs that may be used as non-invasive biomarkers for the detection of cancer

Circulating miRNA

Types of cancer

Methods

Source

References

miR-155,-210,-21

Diffuse large B-cell lymphoma

qRT-PCR

serum

[14]

miR-132, -181c, -15a, -370, -143-3p, -21-5p, -200a-3p, -646

Cervical squamous cell carcinoma

TaqMan miRNA array, qRT-PCR

serum

[26]

miR-122

Chronic hepatitis B

Microarray, qRT-PCR

serum

[28]

miR-141

Prostate cancer

qRT-PCR

serum/plasma

[29],[41]

miR-1233

Renal cell carcinoma

TaqMan low density array, qRT-PCR

serum

[30]

mir-16,-25

Multiple myeloma

NanoString-nCounter microRNA assays

serum

[31],[52]

miR-17, -20a, -29c, -223

Nasopharyngeal carcinoma

Microarray, qRT-PCR

serum

[32]

miR-17-3p, -29a, -92a, -221

Colorectal Cancer

qRT-PCR

serum

[41],[42],[51]

miR-155

Breast Cancer

TaqMan miRNA array, qRT-PCR

serum

[41],[49],[54]

miR-21, -26a, -27a, -122, -192, -223, -801

Hepatocellular cancer

Microarray, qRT-PCR

serum

[48]

miR-16, -25, -92a, -451, miR-486-5p

Gastric non-cardia adenocarcinoma

TaqMan low density array, qRT-PCR

serum

[50]

miR-425-5p, -93-5p

Head and neck cancer

qRT-PCR

Plasma

[53]

miR-122

Chronic hepatitis C

qRT-PCR

serum

[55]

In recent years, microarray-based techniques have also been widely used to detect expression profiles of circulating miRNAs [25],[26],[30]–[32],[37]. The advantage of the microarray method is its ability to assess genome-wide expression profiles of miRNAs in body fluids and to provide large amounts of candidate biomarkers for diagnostic purposes in cancer. However, this method requires a large amount of total RNA and a pre-amplification step, which may be risk of changing the original concentration of the circulating miRNAs. Chen et al. quantified circulating miRNA expression using both RT-PCR and microarray and noted a weak correlation [38], implying a risk of inaccuracy when using microarray-based methods.

In addition to the methods mentioned above, new methodologies for measuring circulating miRNAs have emerged recently. Ho and colleagues developed a self-assembling protein platform for the direct quantification of circulating miRNAs in serum based on total internal reflection fluorescence microscopy; a direct, specific and highly sensitive yet simple detection assay for miRNA that does not require sample amplification [39]. Using a self-assembled protein nanofibril and a locked nucleic acid (LNA) as the complimentary sequence and probe to capture the target miRNAs, this method can detect very low concentrations of RNA. A detection limit of 1 pM was achieved using trace amounts of sample [39]. Lusi et al. also developed a PCR- and label-free method to detect miRNA based on an electrochemical genosensor with a detection limit of up to 0.1 pmol [40],[41]. Currently, some commercial PCR kits can directly detect RNA in serum or other body fluids without RNA isolation [42], which might be an important trend in circulating DNA and RNA detection, particularly for circulating miRNAs. Finally, it is worth mentioning that following the emergence of next-generation sequencing (NGS), NGS has been widely used in detecting circulating miRNAs and for the identification of novel miRNAs [43]–[47]. This technique does not rely on probes specific to each miRNA and is largely sequence independent, thus providing comprehensive and accurate measurements of miRNAs [43],[44]; however, its disadvantages are that it is expensive and resource-consuming.

Based on the discussion above, it could be suggested that the quality of RNA is one of the most important issues for measuring circulating miRNAs. On a different note, circulating miRNAs are easily contaminated by serum cellular components, such as platelets or erythrocytes, and must be very carefully centrifuged from serum or other body fluids. This point is particularly important in the case of microarray assays. Another key issue is RNA purity and integrity, which may improve the accuracy of detection.

Implications of circulating miRNAs as biomarkers for cancer

Circulating miRNAs have numerous advantages including stably existing in almost all body fluids, cancer-specific or tightly correlating with physiological and pathological changes and easily detectable. Consequently, a number of studies have proposed that circulating miRNAs could be ideal biomarkers for the prediction and prognosis of cancer. The first comprehensive analysis of circulating miRNAs in cancer patients was performed by Lawrie et al. They compared the expression levels of tumor-associated miR-155, miR-210 and miR-21 in serum from patients with diffuse large B-cell lymphoma with levels in serum from healthy controls and observed higher levels in patients compared with controls [14]. Mitchell et al. established an important approach when measuring tumor-derived miRNAs in serum or plasma and suggested that serum level of miR-141 can distinguish patients with prostate cancer from healthy controls [29]. In hepatocellular cancer, based on microarray and qRT-PCR, seven circulating miRNAs (miR-21, -26a, -27a, -122, -192, -223, and -801) were reported to differentiate HCC patients from healthy controls, patients with chronic hepatitis B or patients with cirrhosis [48]. Table 1 summarizes recently described circulating miRNAs that may be used as non-invasive biomarkers for cancer detection.

In further examples of the differentiation of diseased patients from healthy controls, circulating miRNAs have also been demonstrated as biomarkers for early-stage cancer diagnosis. For example, Roth et al. noted that the concentration of miR-155 in serum significantly discriminated M0- breast cancer patients from healthy women [49]. Zhu et al. also identified five miRNAs (miR-16, miR-25, miR-92a, miR-451 and miR-486-5p) as potential markers for the early-stage gastric non-cardia adenocarcinoma (GNCA) (stage I) [50]. It has been reported that circulating miR-92a was dysregulated in non-metastatic and metastatic colorectal cancer (CRC) patients and showed potential as a non-invasive biomarker for the early detection of liver metastasis in CRC patients [51].

More importantly, clinical studies have also demonstrated the potential use of miRNAs as promising biomarkers for assessing cancer prognosis. Rocci A et al. used the International Staging System (ISS) and the presence or absence of specific fluorescent in-situ hybridization abnormalities to test circulating miRNAs in patients with multiple myeloma (MM) and suggested that circulating miRNAs showed promise as new prognostic tools for multiple myeloma [52]. Pu et al. have also shown that miR-221 in the plasma could be used as a potential non-invasive prognostic biomarker for colorectal cancer [42]. Our previous study showed that eight miRNAs (miR-132, miR-181c, miR-15a, miR-370, miR-143-3p, miR-21-5p, miR-200a-3p, and miR-646) were expressed abnormally in different perioperative periods of the same cervical squamous cell carcinoma patients including pre-operative, one week post-operative and one month post-operative, suggesting that the levels of specific circulating miRNAs could be useful for post-therapeutic monitoring of the progression of this disease [22].

Recent studies revealed another important clinical application of circulating miRNAs as predictors of response to therapeutics, such as radiotherapy and anti-cancer agents. For example, Summerer et al. reported that the level of circulating miRNAs (miR-425-5p, miR-93-5p) changed dramatically in paired blood-plasma samples of head and neck squamous cell carcinoma (HNSCC) patients prior to therapy and following two days of radio chemotherapy, suggesting that they might be a novel biomarker for monitoring therapy [53]. Another study also revealed that a cluster of highly expressed miRNAs were affected by chemotherapy over the period from the initial to fourth cycle of treatment in breast-cancer patients, particularly in patients with early-stage tumors [54]. With respect to the correlation between levels of serum miR-122 and pegylated interferon therapy in patients with chronic hepatitis C, Su et al. described that patients who showed complete, early virologic response and SVR had significantly higher levels of pre-treatment serum miR-122 than those with NR, particularly sub-groups of patients with hepatitis C virus genotype 2 and IL-28B rs8099917 TT genotype. These data suggest that serum miR-122 levels may help predict virologic responses to pegylated IFN plus ribavirin therapy [55].

Circulating miRNAs display roles in cancer development via cell-cell communication

In addition to the capacity of miRNAs as non-invasive biomarkers for cancer prediction, circulating miRNA may also play a role in the regulation of tumorigenesis. Although the underlying mechanism by which the circulating miRNAs function in the development and progression of cancer remains unclear, exosomes, which are new players in cell-cell communication and facilitate processes including antigen presentation and hemostasis, are widely researched [56]–[61]. A study by Parolini et al. showed that exosomes can fuse with the plasma membrane leading to the release of the exosome content into the target cell, particularly under acidic conditions.

Given that exosomes play an important role in the regulation of cell-cell communication, exosome-derived miRNA may be transferred from donor cells to receptor cells and function in the target cells in diverse biological processes. Valadi et al. were the first to report evidence of exosome-mediated delivery of RNA and circulating miRNAs from donor cells to neighboring cells [62]. Using microarray, they initially detected mRNAs and small RNAs including miRNAs in a mouse and a human mast cell line (MC/9 and HMC-1, respectively) and in primary bone marrow-derived mouse mast cells. They also reported that RNA from mast-cell exosomes was transferable to other mouse and human mast cells and that it was functional in this new location. Chen and colleagues also observed that some exosome-derived miRNAs from doc-resistant BCa cells can be robustly transferred to fluorescent sensitive cells [21]. Notably, a very recent study reported that semen can release seminal exosome (SE) preparations, which contain a large number of small RNAs, such as miRNA and tRNA [63], suggesting that SE could potentially deliver miRNAs to recipient mucosa and that may regulate embryonic development. These findings further suggest that exosomes containing miRNAs can be delivered from donor cells to recipient cells and may have the potential to be therapeutic tools to treat cancers under diverse pathological conditions.

Exosome-derived miRNA delivered between cancer cells and normal cells within the tumor microenvironment also suggests that regulatory signals have the potential to play important roles in the process of tumorigenesis [58],[64],[65]. An example is exosome miRNAs in acute myelocytic leukemia (AML). Hornick et al. demonstrated that exosome miRNAs (miR-146, -150, 155, 210) released from circulating leukemia cells reduced hematopoiesis by modulating hematopoietic-stromal interactions, in part by targeting SDF1a, SCF, and Angpt1 during AML progression in the bone-marrow microenvironment [64]. Another report discussed exosome miR-21 in glioblastoma tumors. It showed that glioblastoma tumor cells can release exosomes containing miR-21 and angiogenic proteins, which are taken up by brain microvascular endothelial cells, and induce them to transform into cancer cells [64],[66]. Yang et al. have also proposed that the exosome-derived miR-223 was released by macrophages and was transferred to co-cultivated SKBR3 and MDA-MB-231 cells, suggesting a plausible mechanism of promoting breast cancer invasion via the miR-223/Mef2c/β-catenin pathway [65]. MiR-126, shuttled by exosomes and targets tocxcl12, modulates adhesion and migration in chronic myelogenous leukemia cells [67]. These findings support the hypothesis that exosomal miRNAs have an important role in cancer-non-cancer-cell crosstalk within the tumor microenvironment and that they potentially affect disease progression (Figure 1).
Figure 1

Circulating miRNAs in cell-cell communication. Circulating miRNAs display roles in cancer development via cell-cell communication with exosome-derived miRNAs or with miRNA-binding molecules, such as the HDL pathway, in the tumor microenvironment.

In addition to exosome/nanovesicle–derived miRNAs, recent studies have also shown that circulating miRNAs can be delivered by special miRNA-binding molecules (Figure 1). For example, Vickers et al. reported that the uptake of miRNA high-density lipoprotein (HDL) in plasma by recipient cells appears to be dependent on a cell-surface HDL receptor named scavenger receptor class B, type I (SRBI) [68], suggesting a novel possible mechanism for the function of circulating miRNAs on the progression of atherosclerosis or cancer. Currently, several miRNA-binding proteins have been reported to participate in circulating miRNA inter-or extra-cellular communication, such as nucleophosmin1 (NPM1) [69] and Argonaute2 (Ago2) -1,-2 -3 and -4 [16],[70]–[72].

Information on circulating miRNA in microvesicles or biological molecules has only appeared in recent years, and the exact role of circulating miRNAs in the development of cancer via cell-cell communication requires further investigation.

Therapeutic applications of circulating miRNAs in cancer

The evidence and discussion above show that circulating miRNAs might function in the progression of tumorigenesis via cell-cell communication, thus suggesting their potential for serving as therapeutic tools in the future. More interestingly, a few studies have indicated that plant miRNAs are found in human and animal serum and that they are primarily acquired via food intake [73]–[76]. Exosome/microvesicle-mediated delivery of miRNAs, acquired via food intake or taken up by cells directly, could be a novel tool for cancer therapy. Although the application of miRNAs in clinical practice remains a challenge (Figure 2), there have been several reports of the development of therapeutics based on miRNA knock-down or overexpression in mice. An example is miR-135b in colon cancer. MiR-135b has been found to be up-regulated in mouse embryo fibroblasts and human colorectal cancer cell lines [77], and up-regulation of miR-135b resulted in a reduction in apoptosis and an increase in cell growth due to the down-regulation of transforming growth factor β receptor 2 (TGFβR2), death-associated protein kinase 1 (DAPK1),Adenomatous Polyposis Coli (APC), and FIH, and the activation of APC/β-catenin and SRC-PI3K pathways. This study further reported reduced proliferation and increased apoptosis in colorectal tumors in mice treated with anti-miR-135b, suggesting a preclinical efficacy of miR-135b in vivo with low toxicity. This study is the first in vivo study of anti-miRs in the treatment of colorectal cancer. Uchino et al. has also reported that the transurethral injection of synthetic miR-582 suppressed tumor growth and metastasis in a mouse model of bladder cancer [78].
Figure 2

Challenges for therapeutic implications of circulating miRNAs in cancer.

However, several problems have been encountered during clinical development (Figure 2) of exosome miRNA-based therapeutics for tumors. One of the major challenges is that miRNAs target numerous genes in diverse types of cells, and their functions in the complex networks of biological pathways remain unclear. For example, miR-125 plays the role of angel and devil in different cancer types [79]. With respect to ovarian cancer [80], bladder cancer [81], breast cancer [82] and some other cancers, miR-125 suppresses tumors by targeting oncogenes, whereas in other types of cancers, such as pancreatic cancer [83], prostate cancer [84] and oligodendroglial cancer [85], miR-125 itself acts as an oncogene. The fact that one miRNA has varying functions makes miRNA-based therapeutics difficult. Another major issue is the difficulties in obtaining accurate quantification of exosome-derived miRNAs due to different measurement methodologies or degradation in different ways [86], and the consequent variation might influence therapeutic effects.

Furthermore, the delivery of circulating miRNA antagonists or mimics as cancer therapies also encounters several barriers, such as poor bioavailability, limited tissue permeability and payload stability [87]. For example, the fibrotic microenvironment of pancreatic cancer results in poor diffusion of therapeutic drugs and suggests that the complex tumor microenvironment and extracellular matrix (ECM) may hinder miRNAs from reaching the cancer cells [88]. Castelliet et al. also showed that the tumor-associated macrophages can non-specifically take up and trap miRNAs encapsulated in a delivery system [89], which may lead to poor bioavailability of miRNAs. The local delivery of miRNA by intra-tumoral injection may improve delivery and enable effective gene-silencing and anti-tumor effects [87]. Some reports have shown the successful delivery of siRNA via electroporation or spherical nucleic acid nanoparticle conjugates (SNA-NCs), resulting in direct silencing of the target gene in skin [90],[91]. However, the local delivery of miRNA may enhance therapeutic effects only in the primary tumor that resides in specific locations and may not be suitable for late-stage metastatic cancer. Thus, a method of systemic delivery is required for cancer therapy.

Finally, the most important issue for miRNAs is clinical pharmacokinetics and toxicity of miRNAs in human organs. Recent studies have demonstrated that miRNAs are highly water soluble and stable in serum. However, the plasma levels of miRNAs declines rapidly following food intake or intravenous administration, and they spread widely through the internal environment but may later accumulate primarily in the liver and kidney [92]. Thus, tracing and measuring circulating miRNAs in target tumor cells and monitoring pharmacological effects are important and challenging issues. Induction of toxicity due to off-target effects of miRNAs or a systemic immune response to miRNA injection may influence the progression of clinical applications. For example, following liposome transfection of synthetic miR-145 into human mesenchymal stem cells and human articular chondrocytes, Tommy and Jan observed immunological off-target effects that were independent of toll-like receptors (TLRs) and that were mediated by retinoic acid inducible-gene 1 (RIG-I) [93]. To overcome this immunotoxicity, miRNAs may be delivered by exosomes or vesicles incorporated with specific ligands or antibodies or that bind endogenous receptors of cancer cells. Neesse et al. constructed albumin-conjugated nanoparticles enriched with cysteine (SPARC), which is robustly expressed by pancreatic adenocarcinoma [94], and efficiently delivered the drug to the tumor [95]. Thus, the specific exosomes containing miRNAs may provide an alternative to enable cancer treatment without toxicity, resulting in accurate uptake of therapeutic miRNAs in the tumor site and suppressed significantly the tumor regression.

Conclusions and perspectives

In this review, we summarized recent proresses on circulating miRNAs from the development of detection methods and their clinical applications as biomarkers to their role as regulators of tumorigenesis and as cancer therapeutics. Progresses on the biology of miRNAs greatly enhance our understanding of their functions with respect to basic mechanisms of oncogenesis and diagnostics and prognostics. Clearly, cell-free miRNAs might play an increasing role as non-invasive tools for the detection of cancer in early stages and as biomarker to monitor prognosis and response to therapy. However, knowledge on the biological functions of extracellular miRNAs is in its infancy. Recent studies revealed that circulating miRNAs are derived from different sources, that they may represent varying human physiological states and that they may play roles in the development of cancer via cell-cell communication. With the finding that exosome miRNA transfers are dependent on cell-cell communication, circulating miRNAs demonstrate their potential for therapeutic application in cancer.

Although great progress in the detection and function of circulating miRNAs in cancer has been made, some challenges exist in their clinical application and require further investigation. The application of direct amplification of circulating miRNAs from plasma without RNA extraction will be a novel approach that shortens the procedure and provides more realistic and original data for analysis. With the development of more effective and specific PCR enzymes for miRNA quantification, the detection of circulating miRNAs for direct cancer prediction in the clinic will be possible in the future.

Another major challenge is to demonstrate the exact mechanism of circulating miRNAs derived from dead or lysing cells or secreted from tumor cells and the mechanisms of their movement, signal transmission or their role in oncogenesis. Although recent studies have suggested that circulating miRNA appears to be transported from cell to cell via the extracellular matrix either by a ligand-receptor system or via their ability to diffuse into adjacent cells, or endosomal vesicles can move along microtubulin to locate to another organelle [96]–[99], the exact mechanisms deserve further investigation.

In addition to the potential of circulating miRNAs as biomarkers for cancer prediction or prognosis, circulating microRNAs may enable personalized cancer medicine in future. However, several issues must be solved before going further. One of these issues is the limited tissue permeability of miRNAs and payload stability. The commercial miRNA mimics or antagonists are unstable and degrade easily when loaded into exosomes. Modification of miRNAs may increase their stability and avoid RNA enzyme activity when delivered in vivo. Thus, research to improve the stability of exosome loading of miRNAs without reducing pharmacological effects is urgent. In addition, to overcome poor cancer-tissue permeability, some exosome/vesicles incorporated with ligands or antibodies or nanoparticles containing miRNAs may be designed. These modified complexes may not only enhance the permeability of the tumor but also decrease the immunotoxicity of the complex and decrease its induction of the human immune system. Cell-based delivery of miRNA mimics or antagonists may also enable the development of cures for early-stage cancer [87]. Furthermore, the pharmacokinetics of circulating miRNAs is also a challenge in the clinic when administering them via food intake. Preclinical studies in animals may aid with these investigations over the coming years. Finally, although there are large numbers of reports on the functions of miRNAs in the development of cancer, the complex gene networks affected by them remains a considerable problem. The complex relationships between miRNAs and their functional pathways must be demonstrated.

With the understanding of the origin, stability, their role in cell-cell communication and advances in methods to detect circulating miRNAs, we believe that, in the future, they will become a cancer buster: From detection to therapy.

Declarations

Acknowledgments

This work was supported by the funds from National Science and Technology Department (973, 2011CB811301) and from National Science Foundation of China (No. 81270629 and 81300398). The authors declare no competing financial interests.

Authors’ Affiliations

(1)
Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, School of Life Science, Sun Yat-sen University

References

  1. Bartel DP: MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 2004, 116: 281-297. 10.1016/S0092-8674(04)00045-5.View ArticlePubMedGoogle Scholar
  2. Reinhart BJ, Slack FJ, Basson M, Pasquinelli AE, Bettinger JC, Rougvie AE, Horvitz HR, Ruvkun G: The 21-nucleotide let-7 RNA regulates developmental timing in Caenorhabditis elegans. Nature. 2000, 403: 901-906. 10.1038/35002607.View ArticlePubMedGoogle Scholar
  3. Lytle JR, Yario TA, Steitz JA: Target mRNAs are repressed as efficiently by microRNA-binding sites in the 5′ UTR as in the 3′ UTR. Proc Natl Acad Sci U S A. 2007, 104: 9667-9672. 10.1073/pnas.0703820104.PubMed CentralView ArticlePubMedGoogle Scholar
  4. Krek A, Grun D, Poy MN, Wolf R, Rosenberg L, Epstein EJ, MacMenamin P, Da PI, Gunsalus KC, Stoffel M, Rajewsky N: Combinatorial microRNA target predictions. Nat Genet. 2005, 37: 495-500. 10.1038/ng1536.View ArticlePubMedGoogle Scholar
  5. Shimono Y, Zabala M, Cho RW, Lobo N, Dalerba P, Qian D, Diehn M, Liu H, Panula SP, Chiao E, Dirbas FM, Somlo G, Pera RA, Lao K, Clarke MF: Downregulation of miRNA-200c links breast cancer stem cells with normal stem cells. Cell. 2009, 138: 592-603. 10.1016/j.cell.2009.07.011.PubMed CentralView ArticlePubMedGoogle Scholar
  6. Popovic R, Riesbeck LE, Velu CS, Chaubey A, Zhang J, Achille NJ, Erfurth FE, Eaton K, Lu J, Grimes HL, Chen J, Rowley JD, Zeleznik-Le NJ: Regulation of mir-196b by MLL and its overexpression by MLL fusions contributes to immortalization. Blood. 2009, 113: 3314-3322. 10.1182/blood-2008-04-154310.PubMed CentralView ArticlePubMedGoogle Scholar
  7. 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-05-2352.View ArticlePubMedGoogle Scholar
  8. Hassan O, Ahmad A, Sethi S, Sarkar FH: Recent updates on the role of microRNAs in prostate cancer. J Hematol Oncol. 2012, 5: 9-10.1186/1756-8722-5-9.PubMed CentralView ArticlePubMedGoogle Scholar
  9. 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.2009.88.View ArticlePubMedGoogle Scholar
  10. Pan Q, Chegini N: MicroRNA signature and regulatory functions in the endometrium during normal and disease states. Semin Reprod Med. 2008, 26: 479-493. 10.1055/s-0028-1096128.PubMed CentralView ArticlePubMedGoogle Scholar
  11. Chim SS, Shing TK, Hung EC, Leung TY, Lau TK, Chiu RW, Lo YM: Detection and characterization of placental microRNAs in maternal plasma. Clin Chem. 2008, 54: 482-490. 10.1373/clinchem.2007.097972.View ArticlePubMedGoogle Scholar
  12. Gutwein P, Stoeck A, Riedle S, Gast D, Runz S, Condon TP, Marme A, Phong MC, Linderkamp O, Skorokhod A, Altevogt P: Cleavage of L1 in exosomes and apoptotic membrane vesicles released from ovarian carcinoma cells. Clin Cancer Res. 2005, 11: 2492-2501. 10.1158/1078-0432.CCR-04-1688.View ArticlePubMedGoogle Scholar
  13. Lodes MJ, Caraballo M, Suciu D, Munro S, Kumar A, Anderson B: Detection of cancer with serum miRNAs on an oligonucleotide microarray. PLoS One. 2009, 4: e6229-10.1371/journal.pone.0006229.PubMed CentralView ArticlePubMedGoogle Scholar
  14. Lawrie CH, Gal S, Dunlop HM, Pushkaran B, Liggins AP, Pulford K, Banham AH, Pezzella F, Boultwood J, Wainscoat JS, Hatton CS, Harris 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. 10.1111/j.1365-2141.2008.07077.x.View ArticlePubMedGoogle Scholar
  15. Huan J, Hornick NI, Shurtleff MJ, Skinner AM, Goloviznina NA, Roberts CJ, Kurre P: RNA trafficking by acute myelogenous leukemia exosomes. Cancer Res. 2013, 73: 918-929. 10.1158/0008-5472.CAN-12-2184.View ArticlePubMedGoogle Scholar
  16. Arroyo JD, Chevillet JR, Kroh EM, Ruf IK, Pritchard CC, Gibson DF, Mitchell PS, Bennett CF, Pogosova-Agadjanyan EL, Stirewalt DL, Tait JF, Tewari M: Argonaute2 complexes carry a population of circulating microRNAs independent of vesicles in human plasma. Proc Natl Acad Sci U S A. 2011, 108: 5003-5008. 10.1073/pnas.1019055108.PubMed CentralView ArticlePubMedGoogle Scholar
  17. Gibbings DJ, Ciaudo C, Erhardt M, Voinnet O: Multivesicular bodies associate with components of miRNA effector complexes and modulate miRNA activity. Nat Cell Biol. 2009, 11: 1143-1149. 10.1038/ncb1929.View ArticlePubMedGoogle Scholar
  18. Hunter MP, Ismail N, Zhang X, Aguda BD, Lee EJ, Yu L, Xiao T, Schafer J, Lee ML, Schmittgen TD, Nana-Sinkam SP, Jarjoura D, Marsh CB: Detection of microRNA expression in human peripheral blood microvesicles. PLoS One. 2008, 3: e3694-10.1371/journal.pone.0003694.PubMed CentralView ArticlePubMedGoogle Scholar
  19. Zhang Y, Liu D, Chen X, Li J, Li L, Bian Z, Sun F, Lu J, Yin Y, Cai X, Sun Q, Wang K, Ba Y, Wang Q, Wang D, Yang J, Liu P, Xu T, Yan Q, Zhang J, Zen K, Zhang CY: Secreted monocytic miR-150 enhances targeted endothelial cell migration. Mol Cell. 2010, 39: 133-144. 10.1016/j.molcel.2010.06.010.View ArticlePubMedGoogle Scholar
  20. Hergenreider E, Heydt S, Treguer K, Boettger T, Horrevoets AJ, Zeiher AM, Scheffer MP, Frangakis AS, Yin X, Mayr M, Braun T, Urbich C, Boon RA, Dimmeler S: Atheroprotective communication between endothelial cells and smooth muscle cells through miRNAs. Nat Cell Biol. 2012, 14: 249-256. 10.1038/ncb2441.View ArticlePubMedGoogle Scholar
  21. Chen WX, Cai YQ, Lv MM, Chen L, Zhong SL, Ma TF, Zhao JH, Tang JH: Exosomes from docetaxel-resistant breast cancer cells alter chemosensitivity by delivering microRNAs. Tumour Biol. 2014, 10: 9649-9659. 10.1007/s13277-014-2242-0.View ArticleGoogle Scholar
  22. 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: 6-10.1186/1756-8722-7-6.PubMed CentralView ArticlePubMedGoogle Scholar
  23. Ji F, Yang B, Peng X, Ding H, You H, Tien P: Circulating microRNAs in hepatitis B virus-infected patients. J Viral Hepat. 2011, 18: e242-e251. 10.1111/j.1365-2893.2011.01443.x.View ArticlePubMedGoogle Scholar
  24. Kroh EM, Parkin RK, Mitchell PS, Tewari M: Analysis of circulating microRNA biomarkers in plasma and serum using quantitative reverse transcription-PCR (qRT-PCR). Methods. 2010, 50: 298-301. 10.1016/j.ymeth.2010.01.032.PubMed CentralView ArticlePubMedGoogle Scholar
  25. Plieskatt JL, Rinaldi G, Feng Y, Levine PH, Easley S, Martinez E, Hashmi S, Sadeghi N, Brindley PJ, Bethony JM, Mulvenna JP: Methods and matrices: approaches to identifying miRNAs for nasopharyngeal carcinoma. J Transl Med. 2014, 12: 3-10.1186/1479-5876-12-3.PubMed CentralView ArticlePubMedGoogle Scholar
  26. McDonald JS, Milosevic D, Reddi HV, Grebe SK, Algeciras-Schimnich A: Analysis of circulating microRNA: preanalytical and analytical challenges. Clin Chem. 2011, 57: 833-840. 10.1373/clinchem.2010.157198.View ArticlePubMedGoogle Scholar
  27. Zeng CW, Chen ZH, Zhang XJ, Han BW, Lin KY, Li XJ, Wei PP, Zhang H, Li Y, Chen YQ: MIR125B1 represses the degradation of the PML-RARA oncoprotein by an autophagy-lysosomal pathway in acute promyelocytic leukemia. Autophagy. 2014, 10: 1726-1737. 10.4161/auto.29592.PubMed CentralView ArticlePubMedGoogle Scholar
  28. Kuwabara Y, Ono K, Horie T, Nishi H, Nagao K, Kinoshita M, Watanabe S, Baba O, Kojima Y, Shizuta S, Imai M, Tamura T, Kita T, Kimura T: Increased microRNA-1 and microRNA-133a levels in serum of patients with cardiovascular disease indicate myocardial damage. Circ Cardiovasc Genet. 2011, 4: 446-454. 10.1161/CIRCGENETICS.110.958975.View ArticlePubMedGoogle Scholar
  29. 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.0804549105.PubMed CentralView ArticlePubMedGoogle Scholar
  30. Wulfken LM, Moritz R, Ohlmann C, Holdenrieder S, Jung V, Becker F, Herrmann E, Walgenbach-Brunagel G, von Ruecker A, Muller SC, Ellinger J: MicroRNAs in renal cell carcinoma: diagnostic implications of serum miR-1233 levels. PLoS One. 2011, 6: e25787-10.1371/journal.pone.0025787.PubMed CentralView ArticlePubMedGoogle Scholar
  31. Flavia Pichiorri PARC: Circulating Mir-16 and Mir-25 As New Prognosticators For Multiple Myeloma [abstract]. Blood. 2013, 122: s1853-10.1182/blood-2013-04-498105.View ArticleGoogle Scholar
  32. Filkova M, Aradi B, Senolt L, Ospelt C, Vettori S, Mann H, Filer A, Raza K, Buckley CD, Snow M, Vencovsky J, Pavelka K, Michel BA, Gay RE, Gay S, Jungel A: Association of circulating miR-223 and miR-16 with disease activity in patients with early rheumatoid arthritis. Ann Rheum Dis. 2013, 10: 1898-1904.Google Scholar
  33. Fichtlscherer S, De Rosa S, Fox H, Schwietz T, Fischer A, Liebetrau C, Weber M, Hamm CW, Roxe T, Muller-Ardogan M, Bonauer A, Zeiher AM, Dimmeler S: Circulating microRNAs in patients with coronary artery disease. Circ Res. 2010, 107: 677-684. 10.1161/CIRCRESAHA.109.215566.View ArticlePubMedGoogle Scholar
  34. Zeng X, Xiang J, Wu M, Xiong W, Tang H, Deng M, Li X, Liao Q, Su B, Luo Z, Zhou Y, Zhou M, Zeng Z, Li X, Shen S, Shuai C, Li G, Fang J, Peng S: Circulating miR-17, miR-20a, miR-29c, and miR-223 combined as non-invasive biomarkers in nasopharyngeal carcinoma. PLoS One. 2012, 7: e46367-10.1371/journal.pone.0046367.PubMed CentralView ArticlePubMedGoogle Scholar
  35. Yun JJ, Heisler LE, Hwang II, Wilkins O, Lau SK, Hyrcza M, Jayabalasingham B, Jin J, McLaurin J, Tsao MS, Der SD: Genomic DNA functions as a universal external standard in quantitative real-time PCR. Nucleic Acids Res. 2006, 34: e85-10.1093/nar/gkl400.PubMed CentralView ArticlePubMedGoogle Scholar
  36. Whelan JA, Russell NB, Whelan MA: A method for the absolute quantification of cDNA using real-time PCR. J Immunol Methods. 2003, 278: 261-269. 10.1016/S0022-1759(03)00223-0.View ArticlePubMedGoogle Scholar
  37. Wang WT, Zhao YN, Han BW, Hong SJ, Chen YQ: Circulating microRNAs identified in a genome-wide serum microRNA expression analysis as noninvasive biomarkers for endometriosis. J Clin Endocrinol Metab. 2013, 98: 281-289. 10.1210/jc.2012-2415.View ArticlePubMedGoogle Scholar
  38. Chen Y, Gelfond JA, McManus LM, Shireman PK: Reproducibility of quantitative RT-PCR array in miRNA expression profiling and comparison with microarray analysis. BMC Genomics. 2009, 10: 407-10.1186/1471-2164-10-407.PubMed CentralView ArticlePubMedGoogle Scholar
  39. Ho SL, Chan HM, Wong RN, Li HW: Self-assembling protein platform for direct quantification of circulating microRNAs in serum with total internal reflection fluorescence microscopy. Anal Chim Acta. 2014, 823: 61-68. 10.1016/j.aca.2014.03.020.View ArticlePubMedGoogle Scholar
  40. Lusi EA, Passamano M, Guarascio P, Scarpa A, Schiavo L: Innovative electrochemical approach for an early detection of microRNAs. Anal Chem. 2009, 81: 2819-2822. 10.1021/ac8026788.View ArticlePubMedGoogle Scholar
  41. Redova M, Sana J, Slaby O: Circulating miRNAs as new blood-based biomarkers for solid cancers. Future Oncol. 2013, 9: 387-402. 10.2217/fon.12.192.View ArticlePubMedGoogle Scholar
  42. Pu XX, Huang GL, Guo HQ, Guo CC, Li H, Ye S, Ling S, Jiang L, Tian Y, Lin TY: Circulating miR-221 directly amplified from plasma is a potential diagnostic and prognostic marker of colorectal cancer and is correlated with p53 expression. J Gastroenterol Hepatol. 2010, 25: 1674-1680. 10.1111/j.1440-1746.2010.06417.x.View ArticlePubMedGoogle Scholar
  43. Yang Q, Lu J, Wang S, Li H, Ge Q, Lu Z: Application of next-generation sequencing technology to profile the circulating microRNAs in the serum of preeclampsia versus normal pregnant women. Clin Chim Acta. 2011, 412: 2167-2173. 10.1016/j.cca.2011.07.029.View ArticlePubMedGoogle Scholar
  44. Schuster SC: Next-generation sequencing transforms today’s biology. Nat Methods. 2008, 5: 16-18. 10.1038/nmeth1156.View ArticlePubMedGoogle Scholar
  45. Han Y, Chen J, Zhao X, Liang C, Wang Y, Sun L, Jiang Z, Zhang Z, Yang R, Chen J, Li Z, Tang A, Li X, Ye J, Guan Z, Gui Y, Cai Z: MicroRNA expression signatures of bladder cancer revealed by deep sequencing. PLoS One. 2011, 6: e18286-10.1371/journal.pone.0018286.PubMed CentralView ArticlePubMedGoogle Scholar
  46. Wach S, Nolte E, Szczyrba J, Stohr R, Hartmann A, Orntoft T, Dyrskjot L, Eltze E, Wieland W, Keck B, Ekici AB, Grasser F, Wullich B: MicroRNA profiles of prostate carcinoma detected by multiplatform microRNA screening. Int J Cancer. 2012, 130: 611-621. 10.1002/ijc.26064.View ArticlePubMedGoogle Scholar
  47. Ryu S, Joshi N, McDonnell K, Woo J, Choi H, Gao D, McCombie WR, Mittal V: Discovery of novel human breast cancer microRNAs from deep sequencing data by analysis of pri-microRNA secondary structures. PLoS One. 2011, 6: e16403-10.1371/journal.pone.0016403.PubMed CentralView ArticlePubMedGoogle Scholar
  48. Zhou J, Yu L, Gao X, Hu J, Wang J, Dai Z, Wang JF, Zhang Z, Lu S, Huang X, Wang Z, Qiu S, Wang X, Yang G, Sun H, Tang Z, Wu Y, Zhu H, Fan J: Plasma microRNA panel to diagnose hepatitis B virus-related hepatocellular carcinoma. J Clin Oncol. 2011, 29: 4781-4788. 10.1200/JCO.2011.38.2697.View ArticlePubMedGoogle Scholar
  49. 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: R90-10.1186/bcr2766.PubMed CentralView ArticlePubMedGoogle Scholar
  50. Zhu C, Ren C, Han J, Ding Y, Du J, Dai N, Dai J, Ma H, Hu Z, Shen H, Xu Y, Jin G: A five-microRNA panel in plasma was identified as potential biomarker for early detection of gastric cancer. Br J Cancer. 2014, 110: 2291-2299. 10.1038/bjc.2014.119.PubMed CentralView ArticlePubMedGoogle Scholar
  51. Wang LG, Gu J: Serum microRNA-29a is a promising novel marker for early detection of colorectal liver metastasis. Cancer Epidemiol. 2012, 36: e61-e67. 10.1016/j.canep.2011.05.002.View ArticlePubMedGoogle Scholar
  52. Rocci A, Hofmeister CC, Geyer S, Stiff A, Gambella M, Cascione L, Guan J, Benson DM, Efebera YA, Talabere T, Dirisala V, Smith EM, Omede P, Isaia G, De Luca L, Rossi D, Gentili S, Uccello G, Consiglio J, Ria R, Benevolo G, Bringhen S, Callea V, Weiss B, Ferro A, Magarotto V, Alder H, Byrd JC, Boccadoro M, Marcucci G: Circulating miRNA markers show promise as new prognosticators for multiple myeloma. Leukemia. 2014, 28: 1922-1926. 10.1038/leu.2014.155.PubMed CentralView ArticlePubMedGoogle Scholar
  53. Summerer I, Niyazi M, Unger K, Pitea A, Zangen V, Hess J, Atkinson MJ, Belka C, Moertl S, Zitzelsberger H: Changes in circulating microRNAs after radiochemotherapy in head and neck cancer patients. Radiat Oncol. 2013, 8: 296-10.1186/1748-717X-8-296.PubMed CentralView ArticlePubMedGoogle Scholar
  54. Gezer U, Keskin S, Igci A, Tukenmez M, Tiryakioglu D, Cetinkaya M, Disci R, Dalay N, Eralp Y: Abundant circulating microRNAs in breast cancer patients fluctuate considerably during neoadjuvant chemotherapy. Oncol Lett. 2014, 8: 845-848.PubMed CentralPubMedGoogle Scholar
  55. Su TH, Liu CH, Liu CJ, Chen CL, Ting TT, Tseng TC, Chen PJ, Kao JH, Chen DS: Serum microRNA-122 level correlates with virologic responses to pegylated interferon therapy in chronic hepatitis C. Proc Natl Acad Sci U S A. 2013, 110: 7844-7849. 10.1073/pnas.1306138110.PubMed CentralView ArticlePubMedGoogle Scholar
  56. Thery C, Boussac M, Veron P, Ricciardi-Castagnoli P, Raposo G, Garin J, Amigorena S: Proteomic analysis of dendritic cell-derived exosomes: a secreted subcellular compartment distinct from apoptotic vesicles. J Immunol. 2001, 166: 7309-7318. 10.4049/jimmunol.166.12.7309.View ArticlePubMedGoogle Scholar
  57. Parolini I, Federici C, Raggi C, Lugini L, Palleschi S, De Milito A, Coscia C, Iessi E, Logozzi M, Molinari A, Colone M, Tatti M, Sargiacomo M, Fais S: Microenvironmental pH is a key factor for exosome traffic in tumor cells. J Biol Chem. 2009, 284: 34211-34222. 10.1074/jbc.M109.041152.PubMed CentralView ArticlePubMedGoogle Scholar
  58. Skog J, Wurdinger T, van Rijn S, Meijer DH, Gainche L, Sena-Esteves M, Curry WJ, Carter BS, Krichevsky AM, Breakefield XO: Glioblastoma microvesicles transport RNA and proteins that promote tumour growth and provide diagnostic biomarkers. Nat Cell Biol. 2008, 10: 1470-1476. 10.1038/ncb1800.PubMed CentralView ArticlePubMedGoogle Scholar
  59. Segura E, Guerin C, Hogg N, Amigorena S, Thery C: CD8+ dendritic cells use LFA-1 to capture MHC-peptide complexes from exosomes in vivo. J Immunol. 2007, 179: 1489-1496. 10.4049/jimmunol.179.3.1489.View ArticlePubMedGoogle Scholar
  60. Morelli AE, Larregina AT, Shufesky WJ, Sullivan ML, Stolz DB, Papworth GD, Zahorchak AF, Logar AJ, Wang Z, Watkins SC, Falo LJ, Thomson AW: Endocytosis, intracellular sorting, and processing of exosomes by dendritic cells. Blood. 2004, 104: 3257-3266. 10.1182/blood-2004-03-0824.View ArticlePubMedGoogle Scholar
  61. Fitzner D, Schnaars M, van Rossum D, Krishnamoorthy G, Dibaj P, Bakhti M, Regen T, Hanisch UK, Simons M: Selective transfer of exosomes from oligodendrocytes to microglia by macropinocytosis. J Cell Sci. 2011, 124: 447-458. 10.1242/jcs.074088.View ArticlePubMedGoogle Scholar
  62. Valadi H, Ekstrom K, Bossios A, Sjostrand M, Lee JJ, Lotvall JO: Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells. Nat Cell Biol. 2007, 9: 654-659. 10.1038/ncb1596.View ArticlePubMedGoogle Scholar
  63. Vojtech L, Woo S, Hughes S, Levy C, Ballweber L, Sauteraud RP, Strobl J, Westerberg K, Gottardo R, Tewari M, Hladik F: Exosomes in human semen carry a distinctive repertoire of small non-coding RNAs with potential regulatory functions. Nucleic Acids Res. 2014, 42: 7290-7304. 10.1093/nar/gku347.PubMed CentralView ArticlePubMedGoogle Scholar
  64. Noah Hornick BSJH: Hypoxia regulates exosomal microrna content, trafficking and function of key elements in the AML microenvironment [abstract]. Blood. 2013, 122: s742-Google Scholar
  65. Yang M, Chen J, Su F, Yu B, Su F, Lin L, Liu Y, Huang JD, Song E: Microvesicles secreted by macrophages shuttle invasion-potentiating microRNAs into breast cancer cells. Mol Cancer. 2011, 10: 117-10.1186/1476-4598-10-117.PubMed CentralView ArticlePubMedGoogle Scholar
  66. Niu Z, Goodyear SM, Rao S, Wu X, Tobias JW, Avarbock MR, Brinster RL: MicroRNA-21 regulates the self-renewal of mouse spermatogonial stem cells. Proc Natl Acad Sci U S A. 2011, 108: 12740-12745. 10.1073/pnas.1109987108.PubMed CentralView ArticlePubMedGoogle Scholar
  67. Taverna S, Amodeo V, Saieva L, Russo A, Giallombardo M, De Leo G, Alessandro R: Exosomal shuttling of miR-126 in endothelial cells modulates adhesive and migratory abilities of chronic myelogenous leukemia cells. Mol Cancer. 2014, 13: 169-10.1186/1476-4598-13-169.PubMed CentralView ArticlePubMedGoogle Scholar
  68. Vickers KC, Palmisano BT, Shoucri BM, Shamburek RD, Remaley AT: MicroRNAs are transported in plasma and delivered to recipient cells by high-density lipoproteins. Nat Cell Biol. 2011, 13: 423-433. 10.1038/ncb2210.PubMed CentralView ArticlePubMedGoogle Scholar
  69. Wang K, Zhang S, Weber J, Baxter D, Galas DJ: Export of microRNAs and microRNA-protective protein by mammalian cells. Nucleic Acids Res. 2010, 38: 7248-7259. 10.1093/nar/gkq601.PubMed CentralView ArticlePubMedGoogle Scholar
  70. Turchinovich A, Weiz L, Langheinz A, Burwinkel B: Characterization of extracellular circulating microRNA. Nucleic Acids Res. 2011, 39: 7223-7233. 10.1093/nar/gkr254.PubMed CentralView ArticlePubMedGoogle Scholar
  71. Turchinovich A, Weiz L, Burwinkel B: Isolation of circulating microRNA associated with RNA-binding protein. Methods Mol Biol. 2013, 1024: 97-107. 10.1007/978-1-62703-453-1_8.View ArticlePubMedGoogle Scholar
  72. Wu S, Yu W, Qu X, Wang R, Xu J, Zhang Q, Xu J, Li J, Chen L: Argonaute 2 promotes myeloma angiogenesis via microRNA dysregulation. J Hematol Oncol. 2014, 7: 40-10.1186/1756-8722-7-40.PubMed CentralView ArticlePubMedGoogle Scholar
  73. Zhang L, Hou D, Chen X, Li D, Zhu L, Zhang Y, Li J, Bian Z, Liang X, Cai X, Yin Y, Wang C, Zhang T, Zhu D, Zhang D, Xu J, Chen Q, Ba Y, Liu J, Wang Q, Chen J, Wang J, Wang M, Zhang Q, Zhang J, Zen K, Zhang CY: Exogenous plant MIR168a specifically targets mammalian LDLRAP1: evidence of cross-kingdom regulation by microRNA. Cell Res. 2012, 22: 107-126. 10.1038/cr.2011.158.PubMed CentralView ArticlePubMedGoogle Scholar
  74. Lukasik A, Zielenkiewicz P: In silico identification of plant miRNAs in mammalian breast milk exosomes–a small step forward?. PLoS One. 2014, 9: e99963-10.1371/journal.pone.0099963.PubMed CentralView ArticlePubMedGoogle Scholar
  75. Witwer KW, McAlexander MA, Queen SE, Adams RJ: Real-time quantitative PCR and droplet digital PCR for plant miRNAs in mammalian blood provide little evidence for general uptake of dietary miRNAs: limited evidence for general uptake of dietary plant xenomiRs. RNA Biol. 2013, 10: 1080-1086. 10.4161/rna.25246.PubMed CentralView ArticlePubMedGoogle Scholar
  76. Liang GFZYSB: Assessing the survival of exogenous plant microRNA in mice. Food Sci Nutr. 2014, 2: 380-388. 10.1002/fsn3.113.PubMed CentralView ArticlePubMedGoogle Scholar
  77. Valeri N, Braconi C, Gasparini P, Murgia C, Lampis A, Paulus-Hock V, Hart JR, Ueno L, Grivennikov SI, Lovat F, Paone A, Cascione L, Sumani KM, Veronese A, Fabbri M, Carasi S, Alder H, Lanza G, Gafa’ R, Moyer MP, Ridgway RA, Cordero J, Nuovo GJ, Frankel WL, Rugge M, Fassan M, Groden J, Vogt PK, Karin M, Sansom OJ: MicroRNA-135b promotes cancer progression by acting as a downstream effector of oncogenic pathways in colon cancer. Cancer Cell. 2014, 25: 469-483. 10.1016/j.ccr.2014.03.006.PubMed CentralView ArticlePubMedGoogle Scholar
  78. Uchino K, Takeshita F, Takahashi RU, Kosaka N, Fujiwara K, Naruoka H, Sonoke S, Yano J, Sasaki H, Nozawa S, Yoshiike M, Kitajima K, Chikaraishi T, Ochiya T: Therapeutic effects of microRNA-582-5p and -3p on the inhibition of bladder cancer progression. Mol Ther. 2013, 21: 610-619. 10.1038/mt.2012.269.PubMed CentralView ArticlePubMedGoogle Scholar
  79. Sun YM, Lin KY, Chen YQ: Diverse functions of miR-125 family in different cell contexts. J Hematol Oncol. 2013, 6: 6-10.1186/1756-8722-6-6.PubMed CentralView ArticlePubMedGoogle Scholar
  80. Guan Y, Yao H, Zheng Z, Qiu G, Sun K: MiR-125b targets BCL3 and suppresses ovarian cancer proliferation. Int J Cancer. 2011, 128: 2274-2283. 10.1002/ijc.25575.View ArticlePubMedGoogle Scholar
  81. Huang L, Luo J, Cai Q, Pan Q, Zeng H, Guo Z, Dong W, Huang J, Lin T: MicroRNA-125b suppresses the development of bladder cancer by targeting E2F3. Int J Cancer. 2011, 128: 1758-1769. 10.1002/ijc.25509.View ArticlePubMedGoogle Scholar
  82. Li W, Duan R, Kooy F, Sherman SL, Zhou W, Jin P: Germline mutation of microRNA-125a is associated with breast cancer. J Med Genet. 2009, 46: 358-360. 10.1136/jmg.2008.063123.View ArticlePubMedGoogle Scholar
  83. Bloomston M, Frankel WL, Petrocca F, Volinia S, Alder H, Hagan JP, Liu CG, Bhatt D, Taccioli C, Croce CM: MicroRNA expression patterns to differentiate pancreatic adenocarcinoma from normal pancreas and chronic pancreatitis. JAMA. 2007, 297: 1901-1908. 10.1001/jama.297.17.1901.View ArticlePubMedGoogle Scholar
  84. Shi XB, Xue L, Yang J, Ma AH, Zhao J, Xu M, Tepper CG, Evans CP, Kung HJ, DeVere WR: An androgen-regulated miRNA suppresses Bak1 expression and induces androgen-independent growth of prostate cancer cells. Proc Natl Acad Sci U S A. 2007, 104: 19983-19988. 10.1073/pnas.0706641104.PubMed CentralView ArticlePubMedGoogle Scholar
  85. Nelson PT, Baldwin DA, Kloosterman WP, Kauppinen S, Plasterk RH, Mourelatos Z: RAKE and LNA-ISH reveal microRNA expression and localization in archival human brain. RNA. 2006, 12: 187-191. 10.1261/rna.2258506.PubMed CentralView ArticlePubMedGoogle Scholar
  86. Redis RS, Calin S, Yang Y, You MJ, Calin GA: Cell-to-cell miRNA transfer: from body homeostasis to therapy. Pharmacol Ther. 2012, 136: 169-174. 10.1016/j.pharmthera.2012.08.003.View ArticlePubMedGoogle Scholar
  87. Chen Y, Gao DY, Huang L: In vivo delivery of miRNAs for cancer therapy: Challenges and strategies. Adv Drug Deliv Rev. 2014, ᅟ: ᅟ-in pressGoogle Scholar
  88. Kleger A, Perkhofer L, Seufferlein T: Smarter drugs emerging in pancreatic cancer therapy. Ann Oncol. 2014, 25: 1260-1270. 10.1093/annonc/mdu013.View ArticlePubMedGoogle Scholar
  89. Castelli DD, Terreno E, Cabella C, Chaabane L, Lanzardo S, Tei L, Visigalli M, Aime S: Evidence for in vivo macrophage mediated tumor uptake of paramagnetic/fluorescent liposomes. NMR Biomed. 2009, 22: 1084-1092.PubMedGoogle Scholar
  90. Inoue T, Sugimoto M, Sakurai T, Saito R, Futaki N, Hashimoto Y, Honma Y, Arai I, Nakaike S: Modulation of scratching behavior by silencing an endogenous cyclooxygenase-1 gene in the skin through the administration of siRNA. J Gene Med. 2007, 9: 994-1001. 10.1002/jgm.1091.View ArticlePubMedGoogle Scholar
  91. Zheng D, Giljohann DA, Chen DL, Massich MD, Wang XQ, Iordanov H, Mirkin CA, Paller AS: Topical delivery of siRNA-based spherical nucleic acid nanoparticle conjugates for gene regulation. Proc Natl Acad Sci U S A. 2012, 109: 11975-11980. 10.1073/pnas.1118425109.PubMed CentralView ArticlePubMedGoogle Scholar
  92. Wang H, Chiu M, Xie Z, Chiu M, Liu Z, Chen P, Liu S, Byrd JC, Muthusamy N, Garzon R, Croce CM, Marcucci G, Chan KK: Synthetic microRNA cassette dosing: pharmacokinetics, tissue distribution and bioactivity. Mol Pharm. 2012, 9: 1638-1644. 10.1021/mp2006483.PubMed CentralView ArticlePubMedGoogle Scholar
  93. Karlsen TA, Brinchmann JE: Liposome delivery of microRNA-145 to mesenchymal stem cells leads to immunological off-target effects mediated by RIG-I. Mol Ther. 2013, 21: 1169-1181. 10.1038/mt.2013.55.PubMed CentralView ArticlePubMedGoogle Scholar
  94. Neuzillet C, Tijeras-Raballand A, Cros J, Faivre S, Hammel P, Raymond E: Stromal expression of SPARC in pancreatic adenocarcinoma. Cancer Metastasis Rev. 2013, 32: 585-602. 10.1007/s10555-013-9439-3.View ArticlePubMedGoogle Scholar
  95. Neesse A, Frese KK, Chan DS, Bapiro TE, Howat WJ, Richards FM, Ellenrieder V, Jodrell DI, Tuveson DA: SPARC independent drug delivery and antitumour effects of nab-paclitaxel in genetically engineered mice. Gut. 2014, 63: 974-983. 10.1136/gutjnl-2013-305559.PubMed CentralView ArticlePubMedGoogle Scholar
  96. Bananis E, Murray JW, Stockert RJ, Satir P, Wolkoff AW: Microtubule and motor-dependent endocytic vesicle sorting in vitro. J Cell Biol. 2000, 151: 179-186. 10.1083/jcb.151.1.179.PubMed CentralView ArticlePubMedGoogle Scholar
  97. Bomsel M, Parton R, Kuznetsov SA, Schroer TA, Gruenberg J: Microtubule- and motor-dependent fusion in vitro between apical and basolateral endocytic vesicles from MDCK cells. Cell. 1990, 62: 719-731. 10.1016/0092-8674(90)90117-W.View ArticlePubMedGoogle Scholar
  98. Takatsu H, Katoh Y, Ueda T, Waguri S, Murayama T, Takahashi S, Shin HW, Nakayama K: Mitosis-coupled, microtubule-dependent clustering of endosomal vesicles around centrosomes. Cell Struct Funct. 2013, 38: 31-41. 10.1247/csf.12028.View ArticlePubMedGoogle Scholar
  99. Stehbens SJ, Paszek M, Pemble H, Ettinger A, Gierke S, Wittmann T: CLASPs link focal-adhesion-associated microtubule capture to localized exocytosis and adhesion site turnover. Nat Cell Biol. 2014, 16: 561-573. 10.1038/ncb2975.PubMed CentralView ArticlePubMedGoogle Scholar

Copyright

© Wang and Chen; 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