|
1
|
Hsieh JJ, Purdue MP, Signoretti S, Swanton
C, Albiges L, Schmidinger M, Heng DY, Larkin J and Ficarra V: Renal
cell carcinoma. Nat Rev Dis Primers. 3:170092017. View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Wong MCS, Goggins WB, Yip BHK, Fung FDH,
Leung C, Fang Y, Wong SYS and Ng CF: Incidence and mortality of
kidney cancer: Temporal patterns and global trends in 39 countries.
Sci Rep. 7:156982017. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Walsh N, Larkin A, Kennedy S, Connolly L,
Ballot J, Ooi W, Gullo G, Crown J, Clynes M and O'Driscoll L:
Expression of multidrug resistance markers ABCB1 (MDR-1/P-gp) and
ABCC1 (MRP-1) in renal cell carcinoma. BMC Urol. 9:62009.
View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Choueiri TK, Escudier B, Powles T,
Mainwaring PN, Rini BI, Donskov F, Hammers H, Hutson TE, Lee JL,
Peltola K, et al: Cabozantinib versus everolimus in advanced
renal-cell carcinoma. N Engl J Med. 373:1814–1823. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Amin A, Dudek AZ, Logan TF, Lance RS,
Holzbeierlein JM, Knox JJ, Master VA, Pal SK, Miller WH Jr, Karsh
LI, et al: Survival with AGS-003, an autologous dendritic
cell-based immunotherapy, in combination with sunitinib in
unfavorable risk patients with advanced renal cell carcinoma (RCC):
Phase 2 study results. J Immunother Cancer. 3:142015. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Joosten S, Hamming L, Soetekouw P, Aarts
M, Veeck J, van Engeland M and Tjan-Heijnen VC: Resistance to
sunitinib in renal cell carcinoma: From molecular mechanisms to
predictive markers and future perspectives. Biochim Biophys Acta.
1855:1–16. 2015.PubMed/NCBI
|
|
7
|
Ma R, Jiang T and Kang X: Circulating
microRNAs in cancer: Origin, function and application. J Exp Clin
Cancer Res. 31:382012. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Lim JH, Song MK, Cho Y, Kim W, Han SO and
Ryu JC: Comparative analysis of microRNA and mRNA expression
profiles in cells and exosomes under toluene exposure. Toxicol In
Vitro. 41:92–101. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Takahashi RU, Prieto-Vila M, Hironaka A
and Ochiya T: The role of extracellular vesicle microRNAs in cancer
biology. Clin Chem Lab Med. 55:648–656. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Goto Y, Kurozumi A, Nohata N, Kojima S,
Matsushita R, Yoshino H, Ishida Y, Ichikawa T, Naya Y and Seki N:
The microRNA signature of patients with sunitinib failure:
Regulation of UHRF1 pathways by microRNA-101 in renal cell
carcinoma. Oncotarget. 7:59070–59086. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Liang T, Hu XY, Li YH, Tian BQ, Li ZW and
Fu Q: MicroRNA-21 regulates the proliferation, differentiation, and
apoptosis of human renal cell carcinoma cells by the mTOR-STAT3
signaling pathway. Oncol Res. 24:371–380. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Machackova T, Mlcochova H, Stanik M,
Dolezel J, Fedorko M, Pacik D, Poprach A, Svoboda M and Slaby O:
MiR-429 is linked to metastasis and poor prognosis in renal cell
carcinoma by affecting epithelial-mesenchymal transition. Tumor
Biol. 37:14653–14658. 2016. View Article : Google Scholar
|
|
13
|
Prior C, Perez-Gracia JL, Garcia-Donas J,
Rodriguez-Antona C, Guruceaga E, Esteban E, Suarez C, Castellano D,
del Alba AG, Lozano MD, et al: Identification of tissue microRNAs
predictive of sunitinib activity in patients with metastatic renal
cell carcinoma. PLoS One. 9:e862632014. View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Tomczak K, Czerwińska P and Wiznerowicz M;
The Cancer Genome Atlas (TCGA), : An immeasurable source of
knowledge. Contemp Oncol (Pozn). 19:A68–A77. 2015.PubMed/NCBI
|
|
15
|
Livak KJ and Schmittgen TD: Analysis of
relative gene expression data using real-time quantitative PCR and
the 2(-Delta Delta C(T)) method. Methods. 25:402–408. 2001.
View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Kim D, Langmead B and Salzberg SL: HISAT:
A fast spliced aligner with low memory requirements. Nat Methods.
12:357–360. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Chen Y, McCarthy D, Robinson M and Smyth
GK: edgeR: Differential expression analysis of digital gene
expression data. User's Guide. 2014, https://www/genomatixde/online_help/help_regionminer/edgeR.pdf
|
|
18
|
Benjamini Y and Hochberg Y: Controlling
the false discovery rate: A practical and powerful approach to
multiple testing. J Royal Stat Soc Series B (Methodological).
57:289–300. 1995. View Article : Google Scholar
|
|
19
|
Harrow J, Frankish A, Gonzalez JM,
Tapanari E, Diekhans M, Kokocinski F, Aken BL, Barrell D, Zadissa
A, Searle S, et al: GENCODE: The reference human genome annotation
for The ENCODE Project. Genome Res. 22:1760–1774. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
20
|
John B, Sander C and Marks DS: Prediction
of human microRNA targets. Methods Mol Biol. 342:101–113.
2006.PubMed/NCBI
|
|
21
|
von Mering C, Huynen M, Jaeggi D, Schmidt
S, Bork P and Snel B: STRING: A database of predicted functional
associations between proteins. Nucleic Acids Res. 31:258–261. 2003.
View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Kohl M, Wiese S and Warscheid B:
Cytoscape: Software for visualization and analysis of biological
networks. Methods Mol Biol. 696:291–303. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Huang da W, Sherman BT and Lempicki RA:
Systematic and integrative analysis of large gene lists using DAVID
bioinformatics resources. Nat Protoc. 4:44–57. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Gene Ontology Consortium, . Gene ontology
consortium: Going forward. Nucleic Acids Res. 43:D1049–D1056. 2015.
View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Subramanian A, Tamayo P, Mootha VK,
Mukherjee S, Ebert BL, Gillette MA, Paulovich A, Pomeroy SL, Golub
TR, Lander ES and Mesirov JP: Gene set enrichment analysis: A
knowledge-based approach for interpreting genome-wide expression
profiles. Proc Natl Acad Sci USA. 102:15545–15550. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Therneau T: A package for survival
analysis in S. R package version 2.37–7. 2014, http://cran/R-project
org/package=survival2015
|
|
27
|
Zhou M, Wang X, Shi H, Cheng L, Wang Z,
Zhao H, Yang L and Sun J: Characterization of long non-coding
RNA-associated ceRNA network to reveal potential prognostic lncRNA
biomarkers in human ovarian cancer. Oncotarget. 7:12598–12611.
2016.PubMed/NCBI
|
|
28
|
Yang Y, Ren M, Song C, Li D, Soomro SH,
Xiong Y, Zhang H and Fu H: LINC00461, a long non-coding RNA, is
important for the proliferation and migration of glioma cells.
Oncotarget. 8:84123–84139. 2017.PubMed/NCBI
|
|
29
|
Braconi C, Kogure T, Valeri N, Huang N,
Nuovo G, Costinean S, Negrini M, Miotto E, Croce CM and Patel T:
microRNA-29 can regulate expression of the long non-coding RNA gene
MEG3 in hepatocellular cancer. Oncogene. 30:4750–4756. 2011.
View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Liang WC, Fu WM, Wong CW, Wang Y, Wang WM,
Hu GX, Zhang L, Xiao LJ, Wan DC, Zhang JF and Waye MM: The lncRNA
H19 promotes epithelial to mesenchymal transition by functioning as
miRNA sponges in colorectal cancer. Oncotarget. 6:22513–22525.
2015. View Article : Google Scholar : PubMed/NCBI
|
|
31
|
Ma MZ, Chu BF, Zhang Y, Weng MZ, Qin YY,
Gong W and Quan ZW: Long non-coding RNA CCAT1 promotes gallbladder
cancer development via negative modulation of miRNA-218-5p. Cell
Death Dis. 6:e15832015. View Article : Google Scholar : PubMed/NCBI
|
|
32
|
Metsuyanim S, Pode-Shakked N, Schmidt-Ott
KM, Keshet G, Rechavi G, Blumental D and Dekel B: Accumulation of
malignant renal stem cells is associated with epigenetic changes in
normal renal progenitor genes. Stem Cells. 26:1808–1817. 2008.
View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Frottin F, Bienvenut WV, Bignon J, Jacquet
E, Vaca Jacome AS, Van Dorsselaer A, Cianferani S, Carapito C,
Meinnel T and Giglione C: MetAP1 and MetAP2 drive cell selectivity
for a potent anti-cancer agent in synergy, by controlling
glutathione redox state. Oncotarget. 7:63306–63323. 2016.
View Article : Google Scholar : PubMed/NCBI
|
|
34
|
Djakbarova U, Marzluff WF and Köseoğlu MM:
DDB1 and CUL4 associated factor 11 (DCAF11) mediates degradation of
stem-loop binding protein at the end of S phase. Cell Cycle.
15:1986–1996. 2016. View Article : Google Scholar : PubMed/NCBI
|
