|
1
|
Sicklick JK, Fanta PT, Shimabukuro K and
Kurzrock R: Genomics of gallbladder cancer: The case for
biomarker-driven clinical trial design. Cancer Metastasis Rev.
35:263–275. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Chandra V, Kim JJ, Mittal B and Rai R:
MicroRNA aberrations: An emerging field for gallbladder cancer
management. World J Gastroenterol. 22:1787–1799. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Kim YT, Kim J, Jang YH, Lee WJ, Ryu JK,
Park YK, Kim SW, Kim WH, Yoon YB and Kim CY: Genetic alterations in
gallbladder adenoma, dysplasia and carcinoma. Cancer Lett.
169:59–68. 2001. View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Itoi T, Watanabe H, Ajioka Y, Oohashi Y,
Takel K, Nishikura K, Nakamura Y, Horil A and Saito T: APC, K-ras
codon 12 mutations and p53 gene expression in carcinoma and adenoma
of the gall-bladder suggest two genetic pathways in gallbladder
carcinogenesis. Pathol Int. 46:333–340. 1996. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Lee SH, Lee DS, You IY, Jeon WJ, Park SM,
Youn SJ, Choi JW and Sung R: Histopathologic analysis of adenoma
and adenoma-related lesions of the gallbladder. Korean J
Gastroenterol. 55:119–126. 2010.(In Korean). View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Liu MC, Jiang L, Hong HJ, Meng ZW, Du Q,
Zhou LY, She FF and Chen YL: Serum vascular endothelial growth
factors C and D as forecast tools for patients with gallbladder
carcinoma. Tumour Biol. 36:6305–6312. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Choi JH, Yun JW, Kim YS, Lee EA, Hwang ST,
Cho YK, Kim HJ, Park JH, Park DI, Sohn CI, et al: Pre-operative
predictive factors for gallbladder cholesterol polyps using
conventional diagnostic imaging. World J Gastroenterol.
14:6831–6834. 2008. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Zhao MF, Huang P, Ge CL, Sun T, Ma ZG and
Ye FF: Conjugated bile acids in gallbladder bile and serum as
potential biomarkers for cholesterol polyps and adenomatous polyps.
Int J Biol Markers. 31:e73–e79. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Ritchie ME, Phipson B, Wu D, Hu Y, Law CW,
Shi W and Smyth GK: limma powers differential expression analyses
for RNA-sequencing and microarray studies. Nucleic Acids Res.
43:e472015. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
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
|
|
11
|
Kanehisa M, Goto S, Sato Y, Furumichi M
and Tanabe M: KEGG for integration and interpretation of
large-scale molecular data sets. Nucleic Acids Res. 40((Database
Issue)): D109–D114. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Tang Z, Li C, Kang B, Gao G, Li C and
Zhang Z: GEPIA: A web server for cancer and normal gene expression
profiling and interactive analyses. Nucleic Acids Res.
45W:W98–W102. 2017. View Article : Google Scholar
|
|
13
|
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
|
|
14
|
R Core Team: R: A language and environment
for statistical computing. R Foundation for Statistical Computing;
Vienna, Austria: 2013, simplehttp://www.R-project.org/
|
|
15
|
Rodriguez S, Gaunt TR, Guo Y, Zheng J,
Barnes MR, Tang W, Danish F, Johnson A, Castillo BA, Li YR, et al:
Lipids, obesity and gallbladder disease in women: Insights from
genetic studies using the cardiovascular gene-centric 50K SNP
array. Eur J Hum Genet. 24:106–112. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Mellnick VM, Menias CO, Sandrasegaran K,
Hara AK, Kielar AZ, Brunt EM, Doyle MB, Dahiya N and Elsayes KM:
Polypoid lesions of the gallbladder: Disease spectrum with
pathologic correlation. Radiographics. 5:387–399. 2015. View Article : Google Scholar
|
|
17
|
Wang F, Wang R, Li Q, Qu X, Hao Y, Yang J,
Zhao H, Wang Q, Li G, Zhang F, et al: A transcriptome profile in
hepatocellular carcinomas based on integrated analysis of
microarray studies. Diagn Pathol. 12:42017. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Meng LZ, Fang JG, Sun JW, Yang F and Wei
YX: Aberrant expression profile of long noncoding RNA in human
sinonasal squamous cell carcinoma by microarray analysis. Biomed
Res Int. 2016:10957102016. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Liu L, Liu Y, Liu C, Zhang Z, Du Y and
Zhao H: Analysis of gene expression profile identifies potential
biomarkers for atherosclerosis. Mol Med Rep. 14:3052–3058. 2016.
View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Park H, Jung HY, Choi HJ, Kim DY, Yoo JY,
Yun CO, Min JK, Kim YM and Kwon YG: Distinct roles of DKK1 and DKK2
in tumor angiogenesis. Angiogenesis. 17:221–234. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Ma Z, Li W, Yoshiya S, Xu Y, Hata M,
El-Darawish Y, Markova T, Yamanishi K, Yamanishi H, Tahara H, et
al: Augmentation of immune checkpoint cancer immunotherapy with
IL18. Clin Cancer Res. 22:2969–2980. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Roongta UV, Pabalan JG, Wang X, Ryseck RP,
Fargnoli J, Henley BJ, Yang WP, Zhu J, Madireddi MT, Lawrence RM,
et al: Cancer cell dependence on unsaturated fatty acids implicates
stearoyl-CoA desaturase as a target for cancer therapy. Mol Cancer
Res. 9:1551–1561. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Yin D, Komatsu N, Miller CW, Chumakov AM,
Marschesky A, McKenna R, Black KL and Koeffler HP: KLF6: mutational
analysis and effect on cancer cell proliferation. Int J Oncol.
30:65–72. 2007.PubMed/NCBI
|
|
24
|
Grünberg JR, Elvin J, Paul A, Hedjazifar
S, Hammarstedt A and Smith U: CCN5/WISP2 and metabolic diseases. J
Cell Commun Signal. 12:309–318. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Chang XL, Jin TY and Zhou YF:
Metallothionein 1 isoform gene expression induced by cadmium in
human peripheral blood lymphocytes. Biomed Environ Sci. 19:104–109.
2006.PubMed/NCBI
|
|
26
|
Lee MH, Gao YT, Huang YH, McGee EE, Lam T,
Wang B, Shen MC, Rashid A, Pfeiffer RM, Hsing AW and Koshiol J: A
metallomic approach to assess associations of serum metal levels
with gallstones and gallbladder cancer. Hepatology. 71:917–928.
2020. View Article : Google Scholar : PubMed/NCBI
|
|
27
|
En-lin S, Sheng-guo C and Hua-qiao W: The
expression of EFEMP1 in cervical carcinoma and its relationship
with prognosis. Gynecol Oncol. 117:417–422. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Habtewold A, Amogne W, Makonnen E, Yimer
G, Riedel KD, Ueda N, Worku A, Haefeli WE, Lindquist L, Aderaye G,
et al: Long-term effect of efavirenz autoinduction on
plasma/peripheral blood mononuclear cell drug exposure and CD4
count is influenced by UGT2B7 and CYP2B6 genotypes among HIV
patients. J Antimicrob Chemother. 66:2350–2361. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Zhang C, Lu L, Li Y, Wang X, Zhou J, Liu
Y, Fu P, Gallicchio MA, Bach LA and Duan C: IGF binding protein-6
expression in vascular endothelial cells is induced by hypoxia and
plays a negative role in tumor angiogenesis. Int J Cancer.
130:2003–2012. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Liu W and Rodgers GP: Olfactomedin 4
expression and functions in innate immunity, inflammation, and
cancer. Cancer Metastasis Rev. 35:201–212. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
31
|
Dey A, Parmar D, Dayal M, Dhawan A and
Seth PK: Cytochrome P450 1A1 (CYP1A1) in blood lymphocytes evidence
for catalytic activity and mRNA expression. Life Sci. 69:383–393.
2001. View Article : Google Scholar : PubMed/NCBI
|
|
32
|
Podestà M, Benvenuto F, Pitto A, Figari O,
Bacigalupo A, Bruzzone S, Guida L, Franco L, Paleari L, Bodrato N,
et al: Concentrative uptake of cyclic ADP-ribose generated by
BST-1+ stroma stimulates proliferation of human
hematopoietic progenitors. J Biol Chem. 280:5343–5349. 2005.
View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Osugi Y, Vuckovic S and Hart DN: Myeloid
blood CD11c(+) dendritic cells and monocyte-derived dendritic cells
differ in their ability to stimulate T lymphocytes. Blood.
100:2858–2866. 2002. View Article : Google Scholar : PubMed/NCBI
|
|
34
|
Vallvé JC, Serra N, Zalba G, Fortuño A,
Beloqui O, Ferre R, Ribalta J and Masana L: Two variants in the
fibulin2 gene are associated with lower systolic blood pressure and
decreased risk of hypertension. PLoS One. 7:e430512012. View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Gloury R, Zotos D, Zuidscherwoude M,
Masson F, Liao Y, Hasbold J, Corcoran LM, Hodgkin PD, Belz GT, Shi
W, et al: Dynamic changes in Id3 and E-protein activity orchestrate
germinal center and plasma cell development. J Exp Med.
213:1095–1111. 2016. View Article : Google Scholar : PubMed/NCBI
|
