Journal of Kidney Cancer and VHL 2015; 2(4): 140-152.
Doi: http://dx.doi.org/10.15586/jkcvhl.2015.40
Review Article
MicroRNAs in clear cell renal cell carcinoma: biological functions and applications
Gianluca Aguiari
Department
of Biomedical and Surgical Specialty Sciences, Section of Biochemistry,
Molecular Biology and Medical Genetics, University of Ferrara, Italy.
Abstract
MicroRNAs
(miRs) are small noncoding RNAs that govern many biological processes.
They frequently acquire a gain or a loss of function in cancer and
hence play a causative role in the development and progression of
neoplasms. They could be used as biomarkers to improve our knowledge on
diagnosis, prognosis and drug resistance, and to attempt therapeutic
approaches in several types of cancer including clear cell renal cell
carcinoma (ccRCC). ccRCC is the most predominant subtype of RCC that
accounts for about 90% of all renal cancers. Since ccRCC is generally
asymptomatic until very late, it is difficult to diagnose early.
Moreover, in the absence of preventive treatments for metastatic ccRCC
after surgical resection of the primary cancer, predictive prognostic
biomarkers are needed in order to achieve appropriate therapies. Herein
the role of miRs in the biology of ccRCC and the potential applications
of these molecules are discussed. Moreover, future applications in the
diagnostic and prognostic field, as well as their impact on drug
response and therapeutic targets are also explored. Their use in
clinical practice as molecular biomarkers alone, or in combination with
other biological markers could accelerate progress, help design
personalized therapies, limit side effects, and improve quality of life
of ccRCC patients.
Received: 16 July 2015; Accepted after revision: 18 August 2015; Published: 23 August 2015.
Author for correspondence: Gianluca Aguiari, Department of Biomedical and Surgical Specialty Sciences, Section of Biochemistry, Molecular Biology and Medical Genetics, University of Ferrara, Italy. E-mail: [email protected]
How
to cite: Aguiari
G. MicroRNAs in clear cell renal cell carcinoma: biological functions
and applications. Journal of Kidney Cancer and VHL 2015;2(4):140-152.
Doi: http://dx.doi.org/10.15586/jkcvhl.2015.40
Renal cell carcinoma (RCC) accounts for 2-3% of all cancers and is the most common kidney malignancy with the highest mortality rate of urinary cancers. Lifestyle factors including smoking, obesity and hypertension are considered etiological risk factors for this tumor (1-3). RCC is mainly classified into three major subtypes: clear cell (ccRCC), papillary (pRCC) and chromophobe (chRCC). The ccRCC subtype is the most common accounting for 80-90% of RCC cases (3). Generally, ccRCC arises from the epithelial cells of the proximal convoluted renal tubule and is histologically characterized by clear cells separated by hypervascular thin fibrous septae (4-5). This subtype of renal cancer commonly metastasizes to the bones, lungs, brain and liver through the invasion of the vena cava (6). Currently, partial or radical nephrectomy is the only curative treatment for localized tumors with high quality of life outcomes (3). In comparison, for patients with metastatic ccRCC, nephrectomy is mostly palliative and systemic treatment with pharmacological therapy is necessary. Unfortunately, ccRCC is unresponsive to traditional chemotherapies, highly resistant to radiation, and lacks the hallmark genetic features of solid tumors, such as mutations in KRAS and TP53 genes (7)
Recent
advances in molecular biology have led to the identification of a plethora of
gene mutations associated with the development and progression of ccRCC. It is
well known that the von Hippel-Lindau (VHL) gene, localized on chromosome 3p,
is frequently inactivated either by mutation or methylation in over 80% of
ccRCC patients. The VHL protein complexes with other proteins, and functions as
an E3 ubiquitin ligase. This leads to degradation of the α subunit of
hypoxia-inducible transcription factors (HIF1 and HIF2) via proteasome
activation (8-9). The loss of function of VHL prevents the degradation of HIFα
proteins resulting in the increased expression of angiogenic factors including
vascular endothelial growth factor (VEGF) and platelet-derived growth factor B
chain (PDGF-B) that contribute to growth and expansion of tumor (10). Mutations
in mammalian target of rapamycin (mTOR), TSC1, PIK3CA, and PTEN genes in
approximately 20% of ccRCC have also been observed. These molecular lesions
cause an aberrant mTORC1 pathway activation that could play a relevant role in
the neoplastic transformation of kidney cells (8). The discovery of several
altered signaling pathways associated with ccRCC has opened new opportunities
and strategies in the treatment of ccRCC, especially the targeted inhibition of
molecules involved in VEGF and mTOR pathways (11-12). However, complete
remission or long-term beneficial responses with tyrosine kinase or mTOR
inhibitors are rare (12). Moreover, these pharmacological approaches are
expensive and show significant adverse effects that worsen the quality of life
of ccRCC patients. Thus, cost-effective predictive biomarkers that are able to
improve clinical management of ccRCC patients are needed. In this regard, an
attractive solution could be offered by microRNAs (miRs) that are involved in
the development of many cancers. Herein we discuss the role of miRs in RCC
biology and their possible applications as biomarkers for ccRCC.
Cell growth and
migration
In
addition, it also promoted tumor metastasis by negatively regulating the tumor
suppressor gene tropomyosin-1 (19). Other miRs targeting PTEN and mTOR mRNAs
such as miR-501-5p and miR-23b-3p show oncogenic features in different ccRCC
cell lines (2, 28). In ccRCC tissue of patients that developed distant
metastases, a significant increase of miR-501-5p expression was observed (2).
In KJ29 and Caki-2 ccRCC cells, miR-501-5p stimulated cell proliferation via
mTOR-mediated MDM2 upregulation. MiR-23b-3p was upregulated in A-498 and Caki-2
ccRCC cell lines and its downregulation induced apoptosis and reduced invasion (28).
In patients, an increased expression correlated with lower survival rate (28).
MicroRNAs for
the identification of kidney cancer subtypes
MicroRNAs and
drug resistance
6. Milowsky MI, Nanus DM. Chemotherapeutic
strategies for renal cell carcinoma. Urol Clin North Am 2003;30:601-609. http://dx.doi.org/10.1016/S0094-0143(03)00031-4
PMid:24916472 PMCid:PMC41195.
http://dx.doi.org/10.1158/1078-0432.CCR-13-2993 PMid:25564569.
13. Badal SS, Danesh FR. MicroRNAs and
their applications in kidney diseases. Pediatr Nephrol. 2015;30(5):727-40. http://dx.doi.org/10.1007/s00467-014-2867-7 PMid:24928414.
http://dx.doi.org/10.4161/15384047.2014.955442 PMid:25482951.
PMid:14681208 PMCid:PMC305252.
22. Mogilyansky E, Rigoutsos I. The
miR-17/92 cluster: a comprehensive update on its genomics, genetics, functions
and increasingly important and numerous roles in health and disease. Cell Death
Differ. 2013;20(12):1603-14. http://dx.doi.org/10.1038/cdd.2013.125 PMid:24212931 PMCid:PMC3824591.
23. Hell MP, Thoma CR, Fankhauser N,
Christinat Y, Weber TC, Krek W. miR-28-5p promotes chromosomal instability in
VHL-associated cancers by inhibiting Mad2 translation. Cancer Res.
2014;74(9):2432-43. http://dx.doi.org/10.1158/0008-5472.CAN-13-2041 PMid:24491803.
24. Neal CS, Michael MZ, Rawlings LH, Van
der Hoek MB, Gleadle JM. The VHL-dependent regulation of microRNAs in renal
cancer. BMC Med. 2010;8:64. http://dx.doi.org/10.1186/1741-7015-8-64
27. Bera A, Das F, Ghosh-Choudhury N,
Kasinath BS, Abboud HE, Choudhury GG. microRNA-21-induced dissociation of PDCD4
from rictor contributes to Akt-IKKβ-mTORC1 axis to regulate renal cancer cell
invasion. Exp Cell Res. 2014;328(1):99-117. http://dx.doi.org/10.1016/j.yexcr.2014.06.022 PMid:25016284.
28. Zaman MS et al. Inhibition of PTEN
gene expression by oncogenic miR-23b-3p in renal cancer. PLoS One.
2012;7(11):e50203. http://dx.doi.org/10.1371/journal.pone.0050203
PMid:23189187 PMCid:PMC3506541.
29. Khella HW, Bakhet M, Allo G, Jewett
MA, Girgis AH, Latif A, Girgis H, Von Both I, Bjarnason GA, Yousef GM. miR-192,
miR-194 and miR-215: a convergent microRNA network suppressing tumor
progression in renal cell carcinoma. Carcinogenesis. 2013;34(10):2231-9. http://dx.doi.org/10.1093/carcin/bgt184 PMid:23715501.
30. Ueno K, Hirata H, Shahryari V, Chen Y,
Zaman MS, Singh K, Tabatabai ZL, Hinoda Y, Dahiya R. Tumour suppressor
microRNA-584 directly targets oncogene Rock-1 and decreases invasion ability in
human clear cell renal cell carcinoma. Br J Cancer. 2011;104(2):308-15. http://dx.doi.org/10.1038/sj.bjc.6606028 PMid:21119662 PMCid:PMC3031891.
31. Yamada Y, Hidaka H, Seki N, Yoshino H,
Yamasaki T, Itesako T, Nakagawa M, Enokida H. Tumor-suppressive microRNA-135a
inhibits cancer cell proliferation by targeting the c-MYC oncogene in renal
cell carcinoma. Cancer Sci. 2013;104(3):304-12. http://dx.doi.org/10.1111/cas.12072 PMid:23176581.
PMid:21330408 PMCid:PMC3940352.
34. Hirata H, Hinoda Y, Ueno K, Nakajima
K, Ishii N, Dahiya R. MicroRNA-1826 directly targets beta-catenin (CTNNB1) and
MEK1 (MAP2K1) in VHL-inactivated renal cancer. Carcinogenesis.
2012;33(3):501-8. http://dx.doi.org/10.1093/carcin/bgr302 PMid:22180573 PMCid:PMC3291860.
35. Wu C, Jin B, Chen L, Zhuo D, Zhang Z,
Gong K, Mao Z. MiR-30d induces apoptosis and is regulated by the Akt/FOXO pathway
in renal cell carcinoma. Cell Signal. 2013;25(5):1212-21. http://dx.doi.org/10.1016/j.cellsig.2013.01.028 PMid:23416459.
37. Czyzyk-Krzeska MF, Meller J, Plas DR.
Not all autophagy is equal. Autophagy. 2012; 8(7):1155-6. http://dx.doi.org/10.4161/auto.20650 PMid:22647376 PMCid:PMC3429557.
38. Mikhaylova O et al. VHL-regulated
MiR-204 suppresses tumor growth through inhibition of LC3B-mediated autophagy
in renal clear cell carcinoma. Cancer Cell. 2012;21(4):532-546.
http://dx.doi.org/10.1016/j.ccr.2012.02.019 PMid:22516261 PMCid:PMC3331999.
39. Zheng B, Zhu H, Gu D, Pan X, Qian L, Xue B, Yang D, Zhou J, Shan Y. MiRNA-30a-mediated autophagy inhibition sensitizes renal cell carcinoma cells to sorafenib. Biochem Biophys Res Commun. 2015;459(2):234-9. http://dx.doi.org/10.1016/j.bbrc.2015.02.084 PMid:25712526.
40. Redova M, Svoboda M. and Slaby O.
MicroRNAs and their target gene networks in renal cell carcinoma. Biochem.
Biophys. Res. Commun. 2011;405:153-156. http://dx.doi.org/10.1016/j.bbrc.2011.01.019 PMid:21232526.
41. Petillo D, Kort EJ, Anema J, Furge KA,
Yang XJ, Teh BT. MicroRNA profiling of human kidney cancer subtypes. Int J
Oncol. 2009;35(1):109-14. http://dx.doi.org/10.3892/ijo_00000318 PMid:19513557.
42. Youssef YM, White NM, Grigull J,
Krizova A, Samy C, Mejia-Guerrero S, Evans A, Yousef GM. Accurate molecular
classification of kidney cancer subtypes using microRNA signature. Eur Urol.
2011;59(5):721-30. http://dx.doi.org/10.1016/j.eururo.2011.01.004 PMid:21272993.
43. Spector Y, Fridman E, Rosenwald S,
Zilber S, Huang Y, Barshack I, Zion O, Mitchell H, Sanden M, Meiri E.
Development and validation of a microRNA-based diagnostic assay for
classification of renal cell carcinomas. Mol Oncol. 2013;7(3):732-8. http://dx.doi.org/10.1016/j.molonc.2013.03.002 PMid:23587442.
44. Iwamoto H, Kanda Y, Sejima T, Osaki M,
Okada F, Takenaka A. Serum miR-210 as a potential biomarker of early clear cell
renal cell carcinoma. Int J Oncol. 2014;44(1):53-8.
PMid:24212760.
45. Zhao A, Li G, Peoch M, Genin C,
Gigante M. Serum miR-210 as a novel biomarker for molecular diagnosis of clear
cell renal cell carcinoma. Exp Mol Pathol. 2013;94(1):115-20. http://dx.doi.org/10.1016/j.yexmp.2012.10.005 PMid:23064048.
46. Redova M, Poprach A, Nekvindova J,
Iliev R, Radova L, Lakomy R, Svoboda M, Vyzula R, Slaby O. Circulating miR-378
and miR-451 in serum are potential biomarkers for renal cell carcinoma. J
Transl Med. 2012;10:55. http://dx.doi.org/10.1186/1479-5876-10-55 PMid:22440013 PMCid:PMC3340316.
PMid:21984948 PMCid:PMC3184173.
48. Wang C et al. A panel of five serum
miRNAs as a potential diagnostic tool for early-stage renal cell carcinoma. Sci
Rep. 2015;5:7610. http://dx.doi.org/10.1038/srep07610
PMid:25556603.
50. Samaan S et al. miR-210 is a
prognostic marker in clear cell renal cell carcinoma. J Mol Diagn. 2015;17(2):136-44. http://dx.doi.org/10.1016/j.jmoldx.2014.10.005 PMid:25555365.
51. Khella HW et al. Low expression of
miR-126 is a prognostic marker for metastatic clear cell renal cell carcinoma.
Am J Pathol. 2015;185(3):693-703. http://dx.doi.org/10.1016/j.ajpath.2014.11.017 PMid:25572155.
52. Vergho D, Kneitz S, Rosenwald A,
Scherer C, Spahn M, Burger M, Riedmiller H, Kneitz B. Combination of expression
levels of miR-21 and miR-126 is associated with cancer-specific survival in
clear-cell renal cell carcinoma. BMC Cancer. 2014;14:25. http://dx.doi.org/10.1186/1471-2407-14-25 PMid:24428907 PMCid:PMC3897948
53. Fu Q, Liu Z, Pan D, Zhang W, Xu L, Zhu
Y, Liu H, Xu J. Tumor miR-125b predicts recurrence and survival of patients
with clear-cell renal cell carcinoma after surgical resection. Cancer Sci.
2014;105(11):1427-34. http://dx.doi.org/10.1111/cas.12507 PMid:25155155.
54. Fritz HK, Lindgren D, Ljungberg B,
Axelson H, Dahlback B. The miR(21/10b) ratio as a prognostic marker in clear
cell renal cell carcinoma. Eur J Cancer. 2014;50(10):1758-65.
http://dx.doi.org/10.1016/j.ejca.2014.03.281 PMid:24793999.
55. Heinzelmann J, Unrein A, Wickmann U,
Baumgart S, Stapf M, Szendroi A, Grimm MO, Gajda MR, Wunderlich H, Junker K.
MicroRNAs with prognostic potential for metastasis in clear cell renal cell
carcinoma: a comparison of primary tumors and distant metastases. Ann Surg
Oncol. 2014;21(3):1046-54. http://dx.doi.org/10.1245/s10434-013-3361-3 PMid:24242678.
56. Gowrishankar B, Ibragimova I, Zhou Y,
Slifker MJ, Devarajan K, Al-Saleem T, Uzzo RG, Cairns P. MicroRNA expression
signatures of stage, grade, and progression in clear cell RCC. Cancer Biol
Ther. 2014;15(3):329-41. http://dx.doi.org/10.4161/cbt.27314 PMid:24351440 PMCid:PMC3974834.
57. Ge YZ et al. A tumor-specific microRNA
signature predicts survival in clear cell renal cell carcinoma. J Cancer Res Clin
Oncol. 2015;141(7):1291-9. http://dx.doi.org/10.1007/s00432-015-1927-0
59. Gao C, Peng FH, Peng LK. MiR-200c
sensitizes clear-cell renal cell carcinoma cells to sorafenib and imatinib by
targeting heme oxygenase-1. Neoplasma. 2014;61(6):680-9. http://dx.doi.org/10.4149/neo_2014_083 PMid:25150313.
60. Prior C et al. Identification of
tissue microRNAs predictive of sunitinib activity in patients with metastatic
renal cell carcinoma. PLoS One. 2014;9(1):e86263. http://dx.doi.org/10.1371/journal.pone.0086263 PMid:24475095 PMCid:PMC3901669.
61. Berkers J et al. A possible role for
microRNA-141 down-regulation in sunitinib resistant metastatic clear cell renal
cell carcinoma through induction of epithelial-to-mesenchymal transition and
hypoxia resistance. J Urol. 2013;189(5):1930-8. http://dx.doi.org/10.1016/j.juro.2012.11.133 PMid:23206420.
62. Gamez-Pozo A et al. MicroRNA
expression profiling of peripheral blood samples predicts resistance to
first-line sunitinib in advanced renal cell carcinoma patients. Neoplasia. 2012
Dec;14(12):1144-52. http://dx.doi.org/10.1593/neo.12734 PMid:23308047 PMCid:PMC3541518.
63. Pecot CV et al. Tumour angiogenesis
regulation by the miR-200 family. Nat Commun. 2013;4:2427. http://dx.doi.org/10.1038/ncomms3427
64. Cui L et al. MicroRNA-99a induces
G1-phase cell cycle arrest and suppresses tumorigenicity in renal cell carcinoma.
BMC Cancer. 2012;12:546. http://dx.doi.org/10.1186/1471-2407-12-546
66. Maroto P, Rini B. Molecular biomarkers
in advanced renal cell carcinoma. Clin Cancer Res. 2014;20(8):2060-71. http://dx.doi.org/10.1158/1078-0432.CCR-13-1351 PMid:24526734.