|
1
|
Takebe N and Yang SX: Sonic hedgehog
signaling pathway and gallbladder cancer: Targeting with precision
medicine approach. Chin Clin Oncol. 5:12016.PubMed/NCBI
|
|
2
|
Ma M, Weng M, Zhang M, Qin Y, Gong W and
Quan Z: Targeting gallbladder cancer: Hyaluronan sensitizes cancer
cells to chemo-therapeutics. Int J Clin Exp Pathol. 8:1822–1825.
2015.PubMed/NCBI
|
|
3
|
Nagahashi M, Ajioka Y, Lang I, Szentirmay
Z, Kasler M, Nakadaira H, Yokoyama N, Watanabe G, Nishikura K,
Wakai T, et al: Genetic changes of p53, K-ras, and microsatellite
instability in gallbladder carcinoma in high-incidence areas of
Japan and Hungary. World J Gastroenterol. 14:70–75. 2008.
View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Ooi A, Suzuki S, Nakazawa K, Itakura J,
Imoto I, Nakamura H and Dobashi Y: Gene amplification of Myc and
its coamplification with ERBB2 and EGFR in gallbladder
adenocarcinoma. Anticancer Res. 29:19–26. 2009.PubMed/NCBI
|
|
5
|
Bhat SA, Ahmad SM, Mumtaz PT, Malik AA,
Dar MA, Urwat U, Shah RA and Ganai NA: Long non-coding RNAs:
Mechanism of action and functional utility. Non-coding RNA Res.
1:43–50. 2016. View Article : Google Scholar
|
|
6
|
Haemmerle M and Gutschner T: Long
non-coding RNAs in cancer and development: Where do we go from
here? Int J Mol Sci. 16:1395–1405. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Wang SH, Zhang MD, Wu XC, Weng MZ, Zhou D
and Quan ZW: Overexpression of LncRNA-ROR predicts a poor outcome
in gallbladder cancer patients and promotes the tumor cells
proliferation, migration, and invasion. Tumour Biol.
37:12867–12875. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Ma F, Wang SH, Cai Q, Zhang MD, Yang Y and
Ding J: Overexpression of LncRNA AFAP1-AS1 predicts poor prognosis
and promotes cells proliferation and invasion in gallbladder
cancer. Biomed Pharmacother. 84:1249–1255. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Jalali S, Bhartiya D, Lalwani MK,
Sivasubbu S and Scaria V: Systematic transcriptome wide analysis of
lncRNA-miRNA interactions. PloS One. 8:e538232013. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Juan L, Wang G, Radovich M, Schneider BP,
Clare SE, Wang Y and Liu Y: Potential roles of microRNAs in
regulating long intergenic noncoding RNAs. BMC Med Genomics. 6
Suppl 1:S72013. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Ma MZ, Zhang Y, Weng MZ, Wang SH, Hu Y,
Hou ZY, Qin YY, Gong W, Zhang YJ, Kong X, et al: Long noncoding RNA
GCASPC, a target of miR-17-3p, negatively regulates pyruvate
carboxylase-dependent cell proliferation in gallbladder cancer.
Cancer Res. 76:5361–5371. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Wang SH, Ma F, Tang ZH, Wu XC, Cai Q,
Zhang MD, Weng MZ, Zhou D, Wang JD and Quan ZW: Long non-coding RNA
H19 regulates FOXM1 expression by competitively binding endogenous
miR-342-3p in gallbladder cancer. J Exp Clin Cancer Res.
35:1602016. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Ma MZ, Kong X, Weng MZ, Zhang MD, Qin YY,
Gong W, Zhang WJ and Quan ZW: Long non-coding RNA-LET is a positive
prognostic factor and exhibits tumor-suppressive activity in
gallbladder cancer. Mol Carcinog. 54:1397–1406. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Carvalho BS and Irizarry RA: A framework
for oligonucleotide microarray preprocessing. Bioinformatics.
26:2363–2367. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
Smyth GK: Linear models and empirical
bayes methods for assessing differential expression in microarray
experiments. Stat Appl Genet Mol Biol. 3:Article32004. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Yang JH, Li JH, Shao P, Zhou H, Chen YQ
and Qu LH: starBase: A database for exploring microRNA-mRNA
interaction maps from Argonaute CLIP-Seq and Degradome-Seq data.
Nucleic Acids Res. 39:(Database issue). D202–D209. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Li JH, Liu S, Zhou H, Qu LH and Yang JH:
starBase v2.0: Decoding miRNA-ceRNA, miRNA-ncRNA and protein-RNA
interaction networks from large-scale CLIP-Seq data. Nucleic Acids
Res. 42:(Database issue). D92–D97. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Cui J, Mo J, Luo M, Yu Q, Zhou S, Li T,
Zhang Y and Luo W: c-Myc-activated long non-coding RNA H19
downregulates miR-107 and promotes cell cycle progression of
non-small cell lung cancer. Int J Clin Exp Pathol. 8:12400–12409.
2015.PubMed/NCBI
|
|
19
|
Xiao H, Tang K, Liu P, Chen K, Hu J, Zeng
J, Xiao W, Yu G, Yao W, Zhou H, et al: LncRNA MALAT1 functions as a
competing endogenous RNA to regulate ZEB2 expression by sponging
miR-200s in clear cell kidney carcinoma. Oncotarget. 6:38005–38015.
2015. View Article : Google Scholar : PubMed/NCBI
|
|
20
|
de la Fuente A, Bing N, Hoeschele I and
Mendes P: Discovery of meaningful associations in genomic data
using partial correlation coefficients. Bioinformatics.
20:3565–3574. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Wang J: Pearson Correlation
CoefficientEncyclopedia of Systems Biology. Springer; pp. 1671.
2013, View Article : Google Scholar
|
|
22
|
Shannon P, Markiel A, Ozier O, Baliga NS,
Wang JT, Ramage D, Amin N, Schwikowski B and Ideker T: Cytoscape: A
software environment for integrated models of biomolecular
interaction networks. Genome Res. 13:2498–2504. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Consortium GO: The gene ontology (GO)
database and informatics resource. Nucleic acids Res. 32:(Database
issue). D258–D261. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Ashburner M, Ball CA, Blake JA, Botstein
D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT,
et al: Gene ontology: Tool for the unification of biology. The Gene
Ontology Consortium. Nat Genet. 25:25–29. 2000. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Huang DW, Sherman BT, Tan Q, Collins JR,
Alvord WG, Roayaei J, Stephens R, Baseler MW, Lane HC and Lempicki
RA: The DAVID gene functional classification tool: A novel
biological module-centric algorithm to functionally analyze large
gene lists. Genome Biol. 8:R1832007. View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Huang DW, Sherman BT, Tan Q, Kir J, Liu D,
Bryant D, Guo Y, Stephens R, Baseler MW, Lane HC and Lempicki RA:
DAVID bioinformatics resources: Expanded annotation database and
novel algorithms to better extract biology from large gene lists.
Nucleic Acids Res. 35:(Web Server issue). W169–W175. 2007.
View Article : Google Scholar : PubMed/NCBI
|
|
27
|
Hirohashi S and Kanai Y: Cell adhesion
system and human cancer morphogenesis. Cancer Sci. 94:575–581.
2003. View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Seki H, Koyama K, Tanaka JI, Sato Y and
Umezawa A: Neural cell adhesion molecule and perineural invasion in
gallbladder cancer. J Surg Oncol. 58:97–100. 1995. View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Varga M, Obrist P, Schneeberger S,
Mühlmann G, Felgel-Farnholz C, Fong D, Zitt M, Brunhuber T, Schäfer
G, Gastl G and Spizzo G: Overexpression of epithelial cell adhesion
molecule antigen in gallbladder carcinoma is an independent marker
for poor survival. Clin Cancer Res. 10:3131–3136. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Gumbiner BM: Regulation of
cadherin-mediated adhesion in morphogenesis. Nat Rev Mol Cell Biol.
6:622–634. 2005. View
Article : Google Scholar : PubMed/NCBI
|
|
31
|
Katagiri A, Watanabe R and Tomita Y:
E-cadherin expression in renal cell cancer and its significance in
metastasis and survival. Br J Cancer. 71:3761995. View Article : Google Scholar : PubMed/NCBI
|
|
32
|
Kohya N, Kitajima Y, Jiao W and Miyazaki
K: Effects of E-cadherin transfection on gene expression of a
gallbladder carcinoma cell line: Repression of MTS1/S100A4 gene
expression. Int J Cancer. 104:44–53. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Su Y, Wu H, Pavlosky A, Zou LL, Deng X,
Zhang ZX and Jevnikar AM: Regulatory non-coding RNA: New
instruments in the orchestration of cell death. Cell Death Dis.
7:e23332016. View Article : Google Scholar : PubMed/NCBI
|
|
34
|
Liu H, Chen X, Focia PJ and He X:
Structural basis for stem cell factor-KIT signaling and activation
of class III receptor tyrosine kinases. EMBO J. 26:891–901. 2007.
View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Cutler RL, Liu L, Damen J and Krystal G:
Multiple cytokines induce the tyrosine phosphorylation of Shc and
its association with Grb2 in hemopoietic cells. J Biol Chem.
268:21463–21465. 1993.PubMed/NCBI
|
|
36
|
Duronio V, Welham MJ, Abraham S, Dryden P
and Schrader JW: p21ras activation via hemopoietin receptors and
c-kit requires tyrosine kinase activity but not tyrosine
phosphorylation of p21ras GTPase-activating protein. Proc Natl Acad
Sci USA. 89:pp. 1587–1591. 1992; View Article : Google Scholar : PubMed/NCBI
|
|
37
|
Hemesath TJ, Price ER, Takemoto C,
Badalian T and Fisher DE: MAP kinase links the transcription factor
Microphthalmia to c-Kit signalling in melanocytes. Nature.
391:298–301. 1998. View
Article : Google Scholar : PubMed/NCBI
|
|
38
|
Masuhara S, Kasuya K, Aoki T, Yoshimatsu
A, Tsuchida A and Koyanagi Y: Relation between K-ras codon 12
mutation and p53 protein overexpression in gallbladder cancer and
biliary ductal epithelia in patients with pancreaticobiliary
maljunction. J Hepatobiliary Pancreat Surg. 7:198–205. 2000.
View Article : Google Scholar : PubMed/NCBI
|
|
39
|
Qin B, Ariyama H, Baba E, Tanaka R, Kusaba
H, Harada M and Nakano S: Activated Src and Ras induce gefitinib
resistance by activation of signaling pathways downstream of
epidermal growth factor receptor in human gallbladder
adenocarcinoma cells. Cancer Chemother Pharmacol. 58:577–584. 2006.
View Article : Google Scholar : PubMed/NCBI
|
|
40
|
Horiuchi H, Kawamata H, Furihata T,
Omotehara F, Hori H, Shinagawa Y, Ohkura Y, Tachibana M, Yamazaki
T, Ajiki T, et al: A MEK inhibitor (U0126) markedly inhibits direct
liver invasion of orthotopically inoculated human gallbladder
cancer cells in nude mice. J Exp Clin Cancer Res. 23:599–606.
2004.PubMed/NCBI
|
|
41
|
Zirn B, Samans B, Wittmann S, Pietsch T,
Leuschner I, Graf N and Gessler M: Target genes of the
WNT/beta-catenin pathway in Wilms tumors. Genes Chromosomes Cancer.
45:565–574. 2006. View Article : Google Scholar : PubMed/NCBI
|
|
42
|
Yanagisawa N, Mikami T, Saegusa M and
Okayasu I: More frequent beta-catenin exon 3 mutations in
gallbladder adenomas than in carcinomas indicate different
lineages. Cancer Res. 61:19–22. 2001.PubMed/NCBI
|
|
43
|
Liu X, Lv R, Zhang L, Xu G, Bi J, Gao F,
Zhang J, Xue F, Wang F, Wu Y, et al: Long noncoding RNA expression
profile of infantile hemangioma identified by microarray analysis.
Tumour Biol. Oct 5–2016.(Epub ahead of print). View Article : Google Scholar
|
|
44
|
Li H, Xie S, Liu X, Wu H, Lin X, Gu J,
Wang H and Duan Y: Matrine alters microRNA expression profiles in
SGC-7901 human gastric cancer cells. Oncol Rep. 32:2118–2126. 2014.
View Article : Google Scholar : PubMed/NCBI
|
|
45
|
Ganci F, Sacconi A, Ben-Moshe NB,
Manciocco V, Sperduti I, Strigari L, Covello R, Benevolo M,
Pescarmona E, Domany E, et al: Expression of TP53
mutation-associated microRNAs predicts clinical outcome in head and
neck squamous cell carcinoma patients. Ann Oncol. 24:3082–3088.
2013. View Article : Google Scholar : PubMed/NCBI
|
|
46
|
Zhang J, Zhang B, Wang T and Wang H:
LncRNA MALAT1 overexpression is an unfavorable prognostic factor in
human cancer: Evidence from a meta-analysis. Int J Clin Exp Med.
8:5499–5505. 2015.PubMed/NCBI
|
|
47
|
Wang X, Ning Y and Guo X: Integrative
meta-analysis of differentially expressed genes in osteoarthritis
using microarray technology. Mol Med Rep. 12:3439–3445. 2015.
View Article : Google Scholar : PubMed/NCBI
|
