15018752330
发表时间:2015-11-26 浏览次数:559次
Introduction
Medulloblastoma (MB) is the most common malignant brain tumor in children.
Metastatic MB carries a poor prognosis. Mechanisms that predict dissemination
are poorly understood. Recently, several studies have revealed a critical role
for microRNAs (miRNAs) during tumorigenesis and metastasis of several cancers,
including MB.
Besides intracellular miRNAs with the traditional function of
translation regulation, there is accumulating evidence that miRNAs exist
extracellularly in body fluids, including cerebrospinal fluids (CSF). Several
reports have described that deregulated extracellular-miRNAs (ex-miRNAs) are
closely associated with the clinical course of malignant tumors. Interestingly,
such deregulation returns to a normal level after tumor resection. Hence,
expression analysis of ex-miRNAs is of increasing interest for diagnostic and
prognostic purposes.
Every cancer investigated has a distinct miRNA
signature and deregulated levels of miRNAs have been detected in body fluids of
patients, including those with lymphoma, leukemia,colon, breast, prostate,
ovarian, pancreatic, gastric, and lung cancer. In the context of brain tumors,
recent studies have demonstrated a significant presence of certain miRNAs in CSF
samples from patients with central nervous system lymphoma, glioma, and
metastatic brain cancers. Recent miRNA profiling of CSF has enabled early
detection of glioblastoma and reflected disease activity.Therefore, ex-miRNAs
may represent important minimally invasive candidate biomarkers in brain tumors.
The presence and biological role of ex-miRNAs in MBs, however, remain unknown.
This study was conducted to gain insight into the identity and quantity of
MB-related ex-miRNAs and to speculate on their possible biological function in
the context of MB metastasis.
Methods
Patient characteristics and CSF
CSF samples from
patients with MB (n = 2), control patients with leukemia with no
intracranial mass lesions and/or neurologic disorders (n = 3), CSF
samples from patients with ependymoma (n = 3) and glioblastoma (n = 1) that were collected from patients treated at the University Children's
Hospital of Zürich, Switzerland. Written informed consent was obtained from each
patient. CSF samples from patients with MB were collected 3 weeks after surgery
and before start of radiotherapy or chemotherapy. CSF samples were centrifuged
(500 g, 10 min, room temperature) within 60 min after collection to
remove cells and debris and were stored at -80 °C until further
processing.
Human MB cell lines
Human MB cell lines (DAOY
and D283) were purchased from American Type Culture Collection (Manassas, VA,
USA). D341 human MB cells were the kind gift of Dr. Henry Friedman (Duke
University, Durham, UK). MB cell lines were cultured as previously published and
maintained at 37 °C in a humidified atmosphere with 5% CO 2 . To
isolate RNA from cultured medium, 10.000-20.000/mL DAOY cells or
20.000-40.000/mL D341, D283, and T293 cells were plated and left to grow in
their conditioned media for 72 h in 24 wells plates. Conditioned medium (2 mL)
of each cell lines were centrifuged at 1,200 rpm to remove cells. The
supernatant was then centrifuged at 10,000 rpm to remove debris.
RNA
extraction for microarray
Total RNA from cell cultures or CSF were
extracted using a mix of Qiazol, Qiagen (Qiagen, Basel, Switzerland) and
chloroform directly on cells. For small RNA in conditioned medium or CSF, the
addition of miRNAs extraction reagent (Toray) was performed. In both situations,
a centrifugation step was required to collect aqueous phase containing RNA that
was finally transferred to miRNeasy Mini spin column from miRNeasy purification
kit Qiagen (Qiagen, Basel, Switzerland). After subsequent washing steps, RNAs
were eluted using 30 μL of nuclease-free water and concentrated up to 3 μL with
vacuum concentrator. Quality was checked on Bioanalyzer using RNA 6000 Pico Chip
(Agilent Chemical Analysis, Life Sciences, and Diagnostics. Basel, Switzerland)
gel and quantified using Nanodrop Photometer [Figure 1]a and b.
Labeling and hybridization
Total RNA (250 ng) extracted from cells and 3 μL of concentrated small RNA extracted from medium were used with Toray 3D-Gene miRNA labeling kit (Toray, Japan) in presence of spikes used as positive controls. Briefly, 5'-phosphates were removed from miRNA end using alkaline phosphatase and a fluorescent label was enzymatically attached to the 3'-end of the miRNA. After an enzyme inactivation step and addition of a hybridization buffer, labeled miRNA was injected on 3D-Gene Human miRNA Oligo Chips (Toray, Japan) targeting 2019 miRNA based on miRBase release 19. Finally, arrays were placed in a hybridization chamber and set into a 32 °C oven for 16 h with a shaker adjusted to 250 rpm.
Washing and scanning
Arrays were washed using 3 solutions with different stringencies to remove non-specifically bound miRNAs. Then, arrays were scanned with the 3D-Gene Scanner 3000 instrument (Toray, Japan) to measure fluorescence. Scanning was carried out using 3 different photomultiplier sensitivities (PMT gain) to allow optimizing of signal detection and checking for consistency.
Microarray analysis
Images were analyzed with the 3D-Gene Extraction software (Toray, Japan). After completion of the auto-analysis work followed on image files, raw signals, and detection calls was produced in tabular files. GeneSpring GX12 (Agilent) was then used to apply quantile normalization and differential expression analysis using modified t-test implemented in the software. Experimental variability was assessed with principal component analysis (PCA) [Figure 2] and [Figure 3]b and Pearson correlation matrix [Figure 3]a generated using the same software.
MicroRNA isolation for reverse transcription polymerase chain reaction analysis
For precipitation of nucleic acids, the monovalent cation concentration of the solution was adjusted to 0.5 mol/L sodium acetate. Glycogen (AM9510, Ambion, Life Technology, NY, USA) was added to a final concentration of 100 μg/mL. The solution was then mixed with 1 volume of isopropanol. The mixture was chilled for 20 min at -20 °C, then centrifuged for 20 min at 13,000 rpm. The supernatant fluid was removed, and the nucleic acid resuspended in lysis buffer. Final purification of RNA enriched for small RNAs from 600 μL of conditioned media and CSF samples was obtained using the mirVanaTM miRNA Isolation Kit (Ambion, Life Technology) according to manufacturer's instructions for "Enrichment Procedure for Small RNAs." Using this approach consisting of two sequential filtrations with different ethanol concentrations, an RNA fraction highly enriched in RNA species ≤ 200 nt was obtained. First strand synthesis of mature miRNAs was followed by quantitative reverse transcription polymerase chain reaction (qRT-PCR) using miRNA-specific TaqMan MGB probes (Applied Biosystems, Life Technology). For the qRT-PCR reaction, the Gene Expression Master Mix was used and the protocol was optimized for the ABI7900HT reader (Applied Biosystems). Probe-primer solutions specific for the following miRNAs were used: miR-1290 (002863), miR-125a-3p (002199), miR-1298 (002861), miR-125b-1* (002378), miR-486-3p (002093), miR-572 (001614), miR-4476 (464702_mat), miR-615-5p (002353), and miR-3918 (464506_mat) (Applied Biosystems, Life Technology). The relative gene expression was calculated for each gene of interest using the ΔΔCT method, where cycle threshold values were normalized to the level of cel-miR-39-3p (4464066, Ambion, Life Technology), which was used as spike-in by adding it during the lysis step of miRNAs extraction.
Results
Given that some human cancer cells secrete miRNAs into their extracellular environment and body fluids, it was hypothesized that MB cell lines may secrete miRNAs into their spent culture medium. To test this hypothesis, 3 cell lines representing MB subtypes D341 and D283 (metastasis-related group 3 and group 4 MB subtypes)and DAOY (sonic hedgehog-related) were cultured individually for 72 h in vitro and miRNAs expression was analyzed in the lysates of each MB cell line and in their corresponding culture media. We identified 1,662, 1,615, and 1,199 secreted miRNAs in the culture-medium (CM) of MB cell lines D283, D341 and DAOY, respectively, among them 1,083 miRNAs that were common in the CM of the 3 cell lines. In cell lysates of D283, D341 and DAOY, on the other hand, we detected 1,787, 1,394 and 1,761 miRNA respectively, with 1,347 miRNAs found common to all 3 cell lines [Figure 4]a. Interestingly, 950 miRNAs were commonly identified in CM of both groups and in lysates of the 3 cell lines tested, indicating that the level of ex-miRNAs may well reflect the expression level of tumor miRNAs. Using a fold-change > 2, we identified a group of 156 miRNAs that are commonly enriched in CM derived from the 3 cell lines compared to their respective cell lysates [Figure 4]b and [Supplementary Table 1- [Additional file 1]] and 57 miRNAs that were specific to the CM of D341 and D283, which represented the 2 metastasis-related group 3 and group 4 MB subtypes, respectively compared to DAOY-derived CM [Figure 4]b and [Supplementary Table 2-[Additional file 2]]. We found 2 additional groups of miRNAs to be differentially enriched in CM of D341 and D283, represented by 60 miRNAs overrepresented and 52 underrepresented compared to DAOY-derived CM [Supplementary Tables 3- [Additional file 3] and 4 - [Additional file 4]. Overall, the results of this experiment demonstrate that MB cell lines secrete miRNAs into the CM and that certain ex-miRNAs retain different enrichment levels in the CM-derived from the 2 cell lines representing the metastasis-related group 3 and group 4 MB subtypes
Detection of ex-miRNAs in CSF of MB patients by microarray analysis
We next asked whether ex-miRNAs could be detected in CSF of MB patients, to test whether it would be technically possible to use the CSF as a source for diagnostic miRNA testing. Using microarray analysis, we screened cell-free CSF from a patient with MB and compared the results to controls (CSF from two different leukemia patients with no cerebral manifestation or neurological disease). PCA [Figure 2] showed clear separation between the miRNA spectrum in CSF of MB patient and controls. Microarray analysis identified 1,254 miRNAs in the MB-CSF sample [Table 1], of which 86 miRNAs were differentially expressed in CSF of the MB patient compared to the 2 CSF controls [Figure 4]c and [Supplementary Table 5 - [Additional file 5]]. Further analysis identified 268 miRNAs over-represented (with fold-change > 2) and 6 miRNAs under-represented in MB-CSF compared with the 2 different controls tested [Supplementary Table 6 -[Additional file 6] and Supplementary Table 7 -[Additional file 7]], indicating a trend toward miRNA enrichment in the MB-CSF sample.
Comparison between miRNA expressions in CM vs. CSF samples
An overlap of the spectra of ex-miRNA candidates detected in the CSF of the MB patient and those excreted by MB cell lines into the CM would support our hypothesis of miRNA secretion by MB cells. Indeed, Pearson correlations analysis showed that ex-miRNAs profiles in MB-CSF displayed a good homogeneity with the profile of miRNAs secreted in CM of MB cell lines [Figure 3]a. This conclusion was confirmed by PCA showing clear separation of miRNAs derived from lysates of MB cell lines from those derived of MB-CSF samples or of CM derived from MB cells [Figure 3]b, confirming the conclusions from Pearson correlations. Compiling expression tables allowed identification of 5 miRNAs (miR-486-3p, miR-572, miR-3918, miR-4476, and miR-615) that were significantly up-regulated in the CM of the 3 cell lines (D283, D341 and DAOY) and enriched in MB-CSF compared to control CSF [Figure 5]a. Moreover, 3 other miRNAs (miR-1290, miR-125a, miR-125b), known to be associated with metastasis, and miR-1298, were over-represented in the CM of metastasis-related cell lines (D283 and D341), but not in DAOY and were significantly over-represented in MB-CSF compared to control CSF [Figure 5]b.
To further validate the finding of selective enrichment of miR-1298 in MB-CSF, we tested it against an additional 5 different CSF controls from one leukemia patient, 3 ependymoma patients, and one glioblastoma patient (specifically chosen to control for brain surgery as a possible factor influencing miRNA secretion). Consistently, TaqMan analysis confirmed significant enrichment of miR-1298 in MB-CSF compared to the 5 controls [Figure 8]a. Together, using TaqMan analysis, we confirmed the microarray data result and demonstrated the feasibility of quantitative detection of miRNAs in culture medium and CSF using qRT-PCR (popular gene expression assay and efficient method for high-throughput used in most diagnostic labs). Importantly, we could detect ex-miRNAs by qRT-PCR in CM of as few as 100-500 MB cells [Figure 8]b, recommending qRT-PCR for the development of non-invasive detection of metastasis-predicting markers for MB.
Discussion
Aberrant expression of ex-miRNA circulating in CSF of certain brain tumor
patients has recently been reported to be cancer biomarkers and potential
regulators of the disease. However, the existence and role of ex-miRNAs in MB
extracellular environment are unknown. Therefore, better understanding of
ex-miRNA secretion and function in MB seems crucial for the development of novel
insights for its diagnosis and prognosis. This study aimed to identify key
miRNAs in culture medium of 3 cell lines, representing different MB subtypes.
Our results identified a significant number (1,347) of hitherto unrecognized new
miRNAs commonly expressed in CM of the 3 cell lines. A significant concordance
of ex-miRNA spectra in CM and those expressed intracellularly was observed.
Since deregulated miRNA expression is an early event in tumorigenesis, measuring
miRNA levels in CSF may also be useful for early detection, which can contribute
greatly to the success of treatment. Therefore, in order to use ex-miRNAs as
biomarkers for MB, it is important to establish a signature capable of
differentiating disease from healthy states. Our pilot microarray screening
identified 86 miRNAs exclusively detected in CSF of MB patients but not in
control CSF from patients with no brain tumor. We also identified 268 miRNAs
that are over-represented and interestingly, only 6 miRNAs under-represented in
MB-CSF compared with control CSF. These findings could be of great significance,
providing the correlation between expression levels of these miRNAs in CSF of MB
patients and their disease states can be established in future
studies.
Tumor cell-derived ex-miRNAs are reported to be
pro-tumorigenic. Ex-miRNAs can transfer their oncogenic activity to recipient
target cells to influence cancer stimulatory activities, thus contributing to
the formation of a pre-metastatic niche and promotion of metastasis. This
exchange of miRNAs between primary tumors and target cells is an interesting and
novel dimension to the regulation of a cell phenotype and may be particularly
important in cancers that have a propensity for dissemination, such as MB. MB
includes various subtypes with group 3 and 4 subtypes being clinically distinct
with regard to metastasis and prognosis, which may also manifest in a difference
in their miRNA spectra. Hence, it was not surprising to find a group of miRNAs
that were uniquely over-(60 miRNAs) or under-represented (52 miRNAs) in the CM
of the 2 metastasis-related cell
lines D283 and D341. More importantly, we
identified 4 miRNAs (miR-1290, miR-125a, miR-125b, miR-1298) that were
over-represented in MB CSF and significantly enriched in the CM media of the 2
metastasis-related cell lines (D283 and D341). Remarkably, apart from miR-1298,
where no functional information is publically available, the 3 other miRNAs
(miR-1290, miR-125a, miR-125b) were detected in body fluids of various cancer
patients, whereby their increased expression and/or secretion is associated with
metastasis of multiple malignancies.39] Consistently, detection of
metastasis-related ex-miRNAs in extracellular environment of certain human
malignancies, including breast and prostate cancers, were observed in other
studies. Our observations provide indirect evidence supporting the hypothesis
that ex-miRNA are possible facilitators of metastasis by modifying local or
distal microenvironments. However, further studies are needed using
counter-regulation of key ex-miRNA expression to determine their effect on
regulation of motility, migration, and invasion of MB cells.
To the best
of our knowledge, this is the first study revealing the spectra of ex-miRNAs in
cell CM conditioned by MB cell lines and in CSF of an MB patient. Although the
number of samples studied here is very small, our identification of key secreted
miRNAs that are specifically enriched in MB-CSF provides a rationale for future
investigations. Such investigations, using larger sets of MB samples could lead
in the near future to the discovery of CSF-derived miRNA markers, with
diagnostic and prognostic significance and ultimately, hopefully also with
therapeutic potential.
Acknowledgments
This project was supported by the Swiss Research Foundation Child and Cancer and by "Krebsliga Zürich".
References
1.Gurney JG, Smith MA, Bunin GR. CNS and miscellaneous intracranial and intraspinal neoplasms. In: Ries LA, Smith MA, Gurney JG, Linet M, Tamra T, Young JL, Bunin GR, editors. Cancer Incidence and Survival Among Children and Adolescents: United States SEER Program 1975-1995. Bethesda: National Institutes of Health; 1999. p. 51-63.
2.Louis DN, Ohgaki H, Wiestler OD, Cavenee WK, Burger PC, Jouvet A, Scheithauer BW, Kleihues P. The 2007 WHO Classification of Tumours of the Central Nervous System. Acta Neuropathol 2007;114:97-109.
3.Tran N, McLean T, Zhang X, Zhao CJ, Thomson JM, O'Brien C, Rose B. MicroRNA expression profiles in head and neck cancer cell lines. Biochem Biophys Res Commun 2007;358:12-7.
4.Calin GA, Croce CM. Chronic lymphocytic leukemia: interplay between noncoding RNAs and protein-coding genes. Blood 2009;114:4761-70.
5.He H, Jazdzewski K, Li W, Liyanarachchi S, Nagy R, Volinia S, Calin GA, Liu CG, Franssila K, Suster S, Kloos RT, Croce CM, de la Chapelle A. The role of microRNA genes in papillary thyroid carcinoma. Proc Natl Acad Sci U S A 2005;102:19075-80.
6.Si ML, Zhu S, Wu H, Lu Z, Wu F, Mo YY. MiR-21-mediated tumor growth. Oncogene 2007;26:2799-803.
7.Alsidawi S, Malek E, Driscoll JJ. MicroRNAs in brain metastases: potential role as diagnostics and therapeutics. Int J Mol Sci 2014;15:10508-26.
8.Kosaka N, Iguchi H, Ochiya T. Circulating microRNA in body fluid: a new potential biomarker for cancer diagnosis and prognosis. Cancer Sci 2010;101:2087-92.
9.Chen X, Liang H, Zhang J, Zen K, Zhang CY. Secreted microRNAs: a new form of intercellular communication. Trends Cell Biol 2012;22:125-32.
10.Liang H, Gong F, Zhang S, Zhang CY, Zen K, Chen X. The origin, function, and diagnostic potential of extracellular microRNAs in human body fluids. Wiley Interdiscip Rev RNA 2014;5:285-300.
11.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;141:672-5.
12.Tanaka M, Oikawa K, Takanashi M, Kudo M, Ohyashiki J, Ohyashiki K, Kuroda M. Down-regulation of miR-92 in human plasma is a novel marker for acute leukemia patients. PLoS One 2009;4:e5532.
13.Huang Z, Huang D, Ni S, Peng Z, Sheng W, Du X. Plasma microRNAs are promising novel biomarkers for early detection of colorectal cancer. Int J Cancer 2010;127:118-26.
14.Heneghan HM, Miller N, Lowery AJ, Sweeney KJ, Newell J, Kerin MJ. Circulating microRNAs as novel minimally invasive biomarkers for breast cancer. Ann Surg 2010;251:499-505.
15.Brase JC, Johannes M, Schlomm T, Fälth M, Haese A, Steuber T, Beissbarth T, Kuner R, Sültmann H. Circulating miRNAs are correlated with tumor progression in prostate cancer. Int J Cancer 2011;128:608-16.
16.Resnick KE, Alder H, Hagan JP, Richardson DL, Croce CM, Cohn DE. The detection of differentially expressed microRNAs from the serum of ovarian cancer patients using a novel real-time PCR platform. Gynecol Oncol 2009;112:55-9.
17.Wang J, Chen J, Chang P, LeBlanc A, Li D, Abbruzzesse JL, Frazier ML, Killary AM, Sen S. MicroRNAs in plasma of pancreatic ductal adenocarcinoma patients as novel blood-based biomarkers of disease. Cancer Prev Res (Phila) 2009;2:807-13.
18.Tsujiura M, Ichikawa D, Komatsu S, Shiozaki A, Takeshita H, Kosuga T, Konishi H, Morimura R, Deguchi K, Fujiwara H, Okamoto K, Otsuji E. Circulating microRNAs in plasma of patients with gastric cancers. Br J Cancer 2010;102:1174-9.
19.Hu Z, Chen X, Zhao Y, Tian T, Jin G, Shu Y, Chen Y, Xu L, Zen K, Zhang C, Shen H. Serum microRNA signatures identified in a genome-wide serum microRNA expression profiling predict survival of non-small-cell lung cancer. J Clin Oncol 2010;28:1721-6.
20.Baraniskin A, Kuhnhenn J, Schlegel U, Maghnouj A, Zöllner H, Schmiegel W, Hahn S, Schroers R. Identification of microRNAs in the cerebrospinal fluid as biomarker for the diagnosis of glioma. Neuro Oncol 2012;14:29-33.
21.Akers JC, Ramakrishnan V, Kim R, Skog J, Nakano I, Pingle S, Kalinina J, Hua W, Kesari S, Mao Y, Breakefield XO, Hochberg FH, Van Meir EG, Carter BS, Chen CC. MiR-21 in the extracellular vesicles (EVs) of cerebrospinal fluid (CSF): a platform for glioblastoma biomarker development. PLoS One 2013;8:e78115.
22.Teplyuk NM, Mollenhauer B, Gabriely G, Giese A, Kim E, Smolsky M, Kim RY, Saria MG, Pastorino S, Kesari S, Krichevsky AM. MicroRNAs in cerebrospinal fluid identify glioblastoma and metastatic brain cancers and reflect disease activity. Neuro Oncol 2012;14:689-700.
23.von Bueren AO, Shalaby T, Rajtarova J, Stearns D, Eberhart CG, Helson L, Arcaro A, Grotzer MA. Anti-proliferative activity of the quassinoid NBT-272 in childhood medulloblastoma cells. BMC Cancer 2007;7:19.
24.Kosaka N, Iguchi H, Yoshioka Y, Takeshita F, Matsuki Y, Ochiya T. Secretory mechanisms and intercellular transfer of microRNAs in living cells. J Biol Chem 2010;285:17442-52.
25.Lukiw WJ, Alexandrov PN, Zhao Y, Hill JM, Bhattacharjee S. Spreading of Alzheimer's disease inflammatory signaling through soluble micro-RNA. Neuroreport 2012;23:621-6.
26.Turchinovich A, Weiz L, Langheinz A, Burwinkel B. Characterization of extracellular circulating microRNA. Nucleic Acids Res 2011;39:7223-33.
27.Snuderl M, Batista A, Kirkpatrick ND, Ruiz de Almodovar C, Riedemann L, Walsh EC, Anolik R, Huang Y, Martin JD, Kamoun W, Knevels E, Schmidt T, Farrar CT, Vakoc BJ, Mohan N, Chung E, Roberge S, Peterson T, Bais C, Zhelyazkova BH, Yip S, Hasselblatt M, Rossig C, Niemeyer E, Ferrara N, Klagsbrun M, Duda DG, Fukumura D, Xu L, Carmeliet P, Jain RK. Targeting placental growth factor/neuropilin 1 pathway inhibits growth and spread of medulloblastoma. Cell 2013;152:1065-76.
28.Cortez MA, Bueso-Ramos C, Ferdin J, Lopez-Berestein G, Sood AK, Calin GA. MicroRNAs in body fluids - the mix of hormones and biomarkers. Nat Rev Clin Oncol 2011;8:467-77.
29.Hannafon BN, Ding WQ. Intercellular Communication by Exosome-Derived microRNAs in Cancer. Int J Mol Sci 2013;14:14240-69.
30.Wang J, Zhang KY, Liu SM, Sen S. Tumor-associated circulating microRNAs as biomarkers of cancer. Molecules 2014;19:1912-38.
31.Mittelbrunn M, Sánchez-Madrid F. Intercellular communication: diverse structures for exchange of genetic information. Nat Rev Mol Cell Biol 2012;13:328-35.
32.Frampton AE, Krell J, Kazemier G, Giovannetti E. Serum miR-1290 as a marker of pancreatic cancer - letter. Clin Cancer Res 2013;19:5250-1.
33.Hammond J, Johnson HM, Varas R, Ward CG. A qualitative comparison of paper flowsheets vs a computer-based clinical information system. Chest 1991;99:155-7.
34.Huang X, Yuan T, Liang M, Du M, Xia S, Dittmar R, Wang D, See W, Costello BA, Quevedo F, Tan W, Nandy D, Bevan GH, Longenbach S, Sun Z, Lu Y, Wang T, Thibodeau SN, Boardman L, Kohli M, Wang L. Exosomal miR-1290 and miR-375 as prognostic markers in castration-resistant prostate cancer. Eur Urol 2015;67:33-41.
35.Korzeniewski N, Tosev G, Pahernik S, Hadaschik B, Hohenfellner M, Duensing S. Identification of cell-free microRNAs in the urine of patients with prostate cancer. Urol Oncol 2015;33:16.e17-22.
36.Le MT, Teh C, Shyh-Chang N, Xie H, Zhou B, Korzh V, Lodish HF, Lim B. MicroRNA-125b is a novel negative regulator of p53. Genes Dev 2009;23:862-76.
37.Sand M, Skrygan M, Sand D, Georgas D, Hahn SA, Gambichler T, Altmeyer P, Bechara FG. Expression of microRNAs in basal cell carcinoma. Br J Dermatol 2012;167:847-55.
38.Sun X, Song Y, Tai X, Liu B, Ji W. MicroRNA expression and its detection in human supraglottic laryngeal squamous cell carcinoma. Biomed Rep 2013;1:743-746.
39.Sun YM, Lin KY, Chen YQ. Diverse functions of miR-125 family in different cell contexts. J Hematol Oncol 2013;6:6.
40.Tang F, Zhang R, He Y, Zou M, Guo L, Xi T. MicroRNA-125b induces metastasis by targeting STARD13 in MCF-7 and MDA-MB-231 breast cancer cells. PLoS One 2012;7:e35435
41.Wang H, Tan G, Dong L, Cheng L, Li K, Wang Z, Luo H. Circulating MiR-125b as a marker predicting chemoresistance in breast cancer. PLoS One 2012;7:e34210.
42.Cheng HH, Mitchell PS, Kroh EM, Dowell AE, Chéry L, Siddiqui J, Nelson PS, Vessella RL, Knudsen BS, Chinnaiyan AM, Pienta KJ, Morrissey C, Tewari M. Circulating microRNA profiling identifies a subset of metastatic prostate cancer patients with evidence of cancer-associated hypoxia. PLoS One 2013;8:e69239.
43.Kosaka N, Iguchi H, Hagiwara K, Yoshioka Y, Takeshita F, Ochiya T. Neutral sphingomyelinase 2 (nSMase2)-dependent exosomal transfer of angiogenic microRNAs regulate cancer cell metastasis. J Biol Chem 2013;288:10849-59.
44.Zhang Y, Yang P, Wang XF. Microenvironmental regulation of cancer metastasis by miRNAs. Trends Cell Biol 2014;24:153-60.
45.Salido-Guadarrama I, Romero-Cordoba S, Peralta-Zaragoza O, Hidalgo-Miranda A, Rodríguez-Dorantes M. MicroRNAs transported by exosomes in body fluids as mediators of intercellular communication in cancer. Onco Targets Ther 2014;7:1327-38.