|
1
|
Bray F, Ferlay J, Soerjomataram I, Siegel
RL, Torre LA and Jemal A: Global cancer statistics 2018: GLOBOCAN
estimates of incidence and mortality worldwide for 36 cancers in
185 countries. CA Cancer J Clin. 68:394–424. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Landwehr MS, Watson SE, Macpherson CF,
Novak KA and Johnson RH: The cost of cancer: A retrospective
analysis of the financial impact of cancer on young adults. Cancer
Med. 5:863–870. 2016. View
Article : Google Scholar : PubMed/NCBI
|
|
3
|
Gao H, Niu Y, Li M, Fang S and Guo L:
Identification of DJ-1 as a contributor to multidrug resistance in
human small-cell lung cancer using proteomic analysis. Int J Exp
Pathol. 98:67–74. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Huang C, Huang M, Chen W, Zhu W, Meng H,
Guo L, Wei T and Zhang J: N-acetylglucosaminyltransferase V
modulates radiosensitivity and migration of small cell lung cancer
through epithelial-mesenchymal transition. FEBS J. 282:4295–4306.
2015. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Demedts IK, Vermaelen KY and van Meerbeeck
JP: Treatment of extensive-stage small cell lung carcinoma: Current
status and future prospects. Eur Respir J. 35:202–215. 2010.
View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Lam WK: Lung cancer in Asian women-the
environment and genes. Respirology. 10:408–417. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Hosgood HD III, Boffetta P, Greenland S,
Lee YC, McLaughlin J, Seow A, Duell EJ, Andrew AS, Zaridze D,
Szeszenia-Dabrowska N, et al: In-home coal and wood use and lung
cancer risk: A pooled analysis of the international lung cancer
consortium. Environ Health Perspect. 118:1743–1747. 2010.
View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Wu PF, Lee CH, Wang MJ, Goggins WB, Chiang
TA, Huang MS and Ko YC: Cancer aggregation and complex segregation
analysis of families with female non-smoking lung cancer probands
in Taiwan. Eur J Cancer. 40:260–266. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Kulasingam V and Diamandis EP: Strategies
for discovering novel cancer biomarkers through utilization of
emerging technologies. Nat Clin Pract Oncol. 5:588–599. 2008.
View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Matamala N, Vargas MT, González-Cámpora R,
Miñambres R, Arias JI, Menéndez P, Andrés-León E, Gómez-López G,
Yanowsky K, Calvete-Candenas J, et al: Tumor microRNA expression
profiling identifies circulating microRNAs for early breast cancer
detection. Clin Chem. 61:1098–1106. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Lusito E, Felice B, D'Ario G, Ogier A,
Montani F, Di Fiore PP and Bianchi F: Unraveling the role of
low-frequency mutated genes in breast cancer. Bioinformatics.
35:36–46. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Zhang L, Yang Y, Cheng L, Cheng Y, Zhou HH
and Tan ZR: Identification of common genes refers to colorectal
carcinogenesis with paired cancer and noncancer samples. Dis
Markers. 2018:34527392018. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Liu H, Wei S, Zhang L, Yuan C, Duan Y and
Wang Q: Secreted phosphoprotein 1 promotes the development of small
cell lung cancer cells by inhibiting autophagy and apoptosis.
Pathol Oncol Res. 2018. View Article : Google Scholar
|
|
14
|
Ni Z, Wang X, Zhang T, Li L and Li J:
Comprehensive analysis of differential expression profiles reveals
potential biomarkers associated with the cell cycle and regulated
by p53 in human small cell lung cancer. Exp Ther Med. 15:3273–3282.
2018.PubMed/NCBI
|
|
15
|
Jiang L, Huang J, Higgs BW, Hu Z, Xiao Z,
Yao X, Conley S, Zhong H, Liu Z, Brohawn P, et al: Genomic
landscape survey identifies SRSF1 as a key oncodriver in small cell
lung cancer. PLoS Genet. 12:e10058952016. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Sato T, Kaneda A, Tsuji S, Isagawa T,
Yamamoto S, Fujita T, Yamanaka R, Tanaka Y, Nukiwa T, Marquez VE,
et al: PRC2 overexpression and PRC2-target gene repression relating
to poorer prognosis in small cell lung cancer. Sci Rep. 3:19112013.
View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Daniel VC, Marchionni L, Hierman JS,
Rhodes JT, Devereux WL, Rudin CM, Yung R, Parmigiani G, Dorsch M,
Peacock CD and Watkins DN: A primary xenograft model of small-cell
lung cancer reveals irreversible changes in gene expression imposed
by culture in vitro. Cancer Res. 69:3364–3373. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Rohrbeck A, Neukirchen J, Rosskopf M,
Pardillos GG, Geddert H, Schwalen A, Gabbert HE, von Haeseler A,
Pitschke G, Schott M, et al: Gene expression profiling for
molecular distinction and characterization of laser captured
primary lung cancers. J Transl Med. 6:692008. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Gautier L, Cope L, Bolstad BM and Irizarry
RA: Affy-analysis of Affymetrix GeneChip data at the probe level.
Bioinformatics. 20:307–315. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
20
|
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
|
|
21
|
Kolde R, Laur S, Adler P and Vilo J:
Robust rank aggregation for gene list integration and
meta-analysis. Bioinformatics. 28:573–580. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Pathan M, Keerthikumar S, Chisanga D,
Alessandro R, Ang CS, Askenase P, Batagov AO, Benito-Martin A,
Camussi G, Clayton A, et al: A novel community driven software for
functional enrichment analysis of extracellular vesicles data. J
Extracell Vesicles. 6:13214552017. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Yu G, Wang LG, Yan GR and He QY: DOSE: An
R/Bioconductor package for disease ontology semantic and enrichment
analysis. Bioinformatics. 31:608–609. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Szklarczyk D, Franceschini A, Kuhn M,
Simonovic M, Roth A, Minguez P, Doerks T, Stark M, Muller J, Bork
P, et al: The STRING database in 2011: Functional interaction
networks of proteins, globally integrated and scored. Nucleic Acids
Res. 39:D561–D568. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Smoot ME, Ono K, Ruscheinski J, Wang PL
and Ideker T: Cytoscape 2.8: New features for data integration and
network visualization. Bioinformatics. 27:431–432. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Saito R, Smoot ME, Ono K, Ruscheinski J,
Wang PL, Lotia S, Pico AR, Bader GD and Ideker T: A travel guide to
cytoscape plugins. Nat Methods. 9:1069–1076. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
27
|
Rhodes DR, Kalyana-Sundaram S, Mahavisno
V, Varambally R, Yu J, Briggs BB, Barrette TR, Anstet MJ,
Kincead-Beal C, Kulkarni P, et al: Oncomine 3.0: Genes, pathways,
and networks in a collection of 18,000 cancer gene expression
profiles. Neoplasia. 9:166–180. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Garber ME, Troyanskaya OG, Schluens K,
Petersen S, Thaesler Z, Pacyna-Gengelbach M, van de Rijn M, Rosen
GD, Perou CM, Whyte RI, et al: Diversity of gene expression in
adenocarcinoma of the lung. Proc Natl Acad Sci USA. 98:13784–13789.
2001. View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Bhattacharjee A, Richards WG, Staunton J,
Li C, Monti S, Vasa P, Ladd C, Beheshti J, Bueno R, Gillette M, et
al: Classification of human lung carcinomas by mRNA expression
profiling reveals distinct adenocarcinoma subclasses. Proc Natl
Acad Sci USA. 98:13790–13795. 2001. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Pietanza MC, Byers LA, Minna JD and Rudin
CM: Small cell lung cancer: Will recent progress lead to improved
outcomes? Clin Cancer Res. 21:2244–2255. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
31
|
Karachaliou N, Pilotto S, Lazzari C, Bria
E, de Marinis F and Rosell R: Cellular and molecular biology of
small cell lung cancer: An overview. Transl Lung Cancer Res.
5:2–15. 2016.PubMed/NCBI
|
|
32
|
George J, Lim JS, Jang SJ, Cun Y, Ozretić
L, Kong G, Leenders F, Lu X, Fernández-Cuesta L, Bosco G, et al:
Comprehensive genomic profiles of small cell lung cancer. Nature.
524:47–53. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Liu Z, Zhong Y, Chen YJ and Chen H: SOX11
regulates apoptosis and cell cycle in hepatocellular carcinoma via
Wnt/β-catenin signaling pathway. Biotechnol Appl Biochem.
66:240–246. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
34
|
An MJ, Kim DH, Kim CH, Kim M, Rhee S, Seo
SB and Kim JW: Histone demethylase KDM3B regulates the
transcriptional network of cell-cycle genes in hepatocarcinoma
HepG2 cells. Biochem Biophys Res Commun. 508:576–582. 2019.
View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Sun X, Hu Y, Wu J, Shi L, Zhu L, Xi PW,
Wei JF and Ding Q: RBMS2 inhibits the proliferation by stabilizing
P21 mRNA in breast cancer. J Exp Clin Cancer Res. 37:2982018.
View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Matsushita Y, Furutani Y, Matsuoka R and
Furukawa T: Hot water extract of Agaricus blazei Murrill
specifically inhibits growth and induces apoptosis in human
pancreatic cancer cells. BMC Complement Altern Med. 18:3192018.
View Article : Google Scholar : PubMed/NCBI
|
|
37
|
Lee KS, Kim SW and Lee HS: Orostachys
japonicus induce p53-dependent cell cycle arrest through the MAPK
signaling pathway in OVCAR-3 human ovarian cancer cells. Food Sci
Nutr. 6:2395–2401. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
38
|
Yang G, Chen Q, Xiao J, Zhang H, Wang Z
and Lin X: Identification of genes and analysis of prognostic
values in nonsmoking females with non-small cell lung carcinoma by
bioinformatics analyses. Cancer Manag Res. 10:4287–4295. 2018.
View Article : Google Scholar : PubMed/NCBI
|
|
39
|
Wang GY, Li L, Liu B, Han X, Wang CH and
Wang JW: Integrated bioinformatic analysis unveils significant
genes and pathways in the pathogenesis of supratentorial primitive
neuroectodermal tumor. Onco Targets Ther. 11:1849–1859. 2018.
View Article : Google Scholar : PubMed/NCBI
|
|
40
|
Hubaux R, Thu KL, Coe BP, MacAulay C, Lam
S and Lam WL: EZH2 promotes E2F-driven SCLC tumorigenesis through
modulation of apoptosis and cell-cycle regulation. J Thorac Oncol.
8:1102–1106. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
41
|
Lin YC, Su JH, Lin SC, Chang CC, Hsia TC,
Tung YT and Lin CC: A soft coral-derived compound,
11-dehydrosinulariolide, induces G2/M cell cycle arrest and
apoptosis in small cell lung cancer. Mar Drugs. 16:2018. View Article : Google Scholar
|
|
42
|
Hartwell LH, Culotti J and Reid B: Genetic
control of the cell-division cycle in yeast. I. Detection of
mutants. Proc Natl Acad Sci USA. 66:352–359. 1970. View Article : Google Scholar : PubMed/NCBI
|
|
43
|
Wan L, Tan M, Yang J, Inuzuka H, Dai X, Wu
T, Liu J, Shaik S, Chen G, Deng J, et al: APC(Cdc20) suppresses
apoptosis through targeting Bim for ubiquitination and destruction.
Dev Cell. 29:377–391. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
44
|
Wu WJ, Hu KS, Wang DS, Zeng ZL, Zhang DS,
Chen DL, Bai L and Xu RH: CDC20 overexpression predicts a poor
prognosis for patients with colorectal cancer. J Transl Med.
11:1422013. View Article : Google Scholar : PubMed/NCBI
|
|
45
|
Li J, Gao JZ, Du JL, Huang ZX and Wei LX:
Increased CDC20 expression is associated with development and
progression of hepatocellular carcinoma. Int J Oncol. 45:1547–1555.
2014. View Article : Google Scholar : PubMed/NCBI
|
|
46
|
Ding ZY, Wu HR, Zhang JM, Huang GR and Ji
DD: Expression characteristics of CDC20 in gastric cancer and its
correlation with poor prognosis. Int J Clin Exp Pathol. 7:722–727.
2014.PubMed/NCBI
|
|
47
|
Choi JW, Kim Y, Lee JH and Kim YS: High
expression of spindle assembly checkpoint proteins CDC20 and MAD2
is associated with poor prognosis in urothelial bladder cancer.
Virchows Arch. 463:681–687. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
48
|
Kim Y, Choi JW, Lee JH and Kim YS: MAD2
and CDC20 are upregulated in high-grade squamous intraepithelial
lesions and squamous cell carcinomas of the uterine cervix. Int J
Gynecol Pathol. 33:517–523. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
49
|
Taniguchi K, Momiyama N, Ueda M, Matsuyama
R, Mori R, Fujii Y, Ichikawa Y, Endo I, Togo S and Shimada H:
Targeting of CDC20 via small interfering RNA causes enhancement of
the cytotoxicity of chemoradiation. Anticancer Res. 28:1559–1563.
2008.PubMed/NCBI
|
|
50
|
Kidokoro T, Tanikawa C, Furukawa Y,
Katagiri T, Nakamura Y and Matsuda K: CDC20, a potential cancer
therapeutic target, is negatively regulated by p53. Oncogene.
27:1562–1571. 2008. View Article : Google Scholar : PubMed/NCBI
|
|
51
|
Guo Y, Kim C, Ahmad S, Zhang J and Mao Y:
CENP-E-dependent BubR1 autophosphorylation enhances chromosome
alignment and the mitotic checkpoint. J Cell Biol. 198:205–217.
2012. View Article : Google Scholar : PubMed/NCBI
|
|
52
|
Malureanu LA, Jeganathan KB, Hamada M,
Wasilewski L, Davenport J and van Deursen JM: BubR1 N terminus acts
as a soluble inhibitor of cyclin B degradation by APC/C(Cdc20) in
interphase. Dev Cell. 16:118–131. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
53
|
Zhuang L, Yang Z and Meng Z: Upregulation
of BUB1B, CCNB1, CDC7, CDC20, and MCM3 in tumor tissues predicted
worse overall survival and disease-free survival in hepatocellular
carcinoma patients. Biomed Res Int. 2018:78973462018. View Article : Google Scholar : PubMed/NCBI
|
|
54
|
Lee E, Pain M, Wang H, Herman JA, Toledo
CM, DeLuca JG, Yong RL, Paddison P and Zhu J: Sensitivity to BUB1B
inhibition defines an alternative classification of glioblastoma.
Cancer Res. 77:5518–5529. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
55
|
Ma Q, Liu Y, Shang L, Yu J and Qu Q: The
FOXM1/BUB1B signaling pathway is essential for the tumorigenicity
and radioresistance of glioblastoma. Oncol Rep. 38:3367–3375.
2017.PubMed/NCBI
|
|
56
|
Chen L, Zhuo D, Chen J and Yuan H:
Screening feature genes of lung carcinoma with DNA microarray
analysis. Int J Clin Exp Med. 8:12161–12171. 2015.PubMed/NCBI
|
|
57
|
Zhang Y, Foreman O, Wigle DA, Kosari F,
Vasmatzis G, Salisbury JL, Van Deursen J and Galardy PJ: USP44
regulates centrosome positioning to prevent aneuploidy and suppress
tumorigenesis. J Clin Invest. 122:4362–4374. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
58
|
Cheng Y, Li K, Diao D, Zhu K, Shi L, Zhang
H, Yuan D, Guo Q, Wu X, Liu D and Dang C: Expression of KIAA0101
protein is associated with poor survival of esophageal cancer
patients and resistance to cisplatin treatment in vitro. Lab
Invest. 93:1276–1287. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
59
|
Michel L, Diaz-Rodriguez E, Narayan G,
Hernando E, Murty VV and Benezra R: Complete loss of the tumor
suppressor MAD2 causes premature cyclin B degradation and mitotic
failure in human somatic cells. Proc Natl Acad Sci USA.
101:4459–4464. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
60
|
Yuan B, Xu Y, Woo JH, Wang Y, Bae YK, Yoon
DS, Wersto RP, Tully E, Wilsbach K and Gabrielson E: Increased
expression of mitotic checkpoint genes in breast cancer cells with
chromosomal instability. Clin Cancer Res. 12:405–410. 2006.
View Article : Google Scholar : PubMed/NCBI
|
|
61
|
Kim HS, Park KH, Kim SA, Wen J, Park SW,
Park B, Gham CW, Hyung WJ, Noh SH, Kim HK and Song SY: Frequent
mutations of human Mad2, but not Bub1, in gastric cancers cause
defective mitotic spindle checkpoint. Mutat Res. 578:187–201. 2005.
View Article : Google Scholar : PubMed/NCBI
|
|
62
|
Shi YX, Zhu T, Zou T, Zhuo W, Chen YX,
Huang MS, Zheng W, Wang CJ, Li X, Mao XY, et al: Prognostic and
predictive values of CDK1 and MAD2L1 in lung adenocarcinoma.
Oncotarget. 7:85235–85243. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
63
|
Wordeman L, Wagenbach M and von Dassow G:
MCAK facilitates chromosome movement by promoting kinetochore
microtubule turnover. J Cell Biol. 179:869–879. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
64
|
Duan H, Zhang X, Wang FX, Cai MY, Ma GW,
Yang H, Fu JH, Tan ZH, Fu XY, Ma QL, et al: KIF-2C expression is
correlated with poor prognosis of operable esophageal squamous cell
carcinoma male patients. Oncotarget. 7:80493–80507. 2016.
View Article : Google Scholar : PubMed/NCBI
|
|
65
|
Bie L, Zhao G, Wang YP and Zhang B:
Kinesin family member 2C (KIF2C/MCAK) is a novel marker for
prognosis in human gliomas. Clin Neurol Neurosurg. 114:356–360.
2012. View Article : Google Scholar : PubMed/NCBI
|
|
66
|
Bidkhori G, Narimani Z, Hosseini Ashtiani
S, Moeini A, Nowzari-Dalini A and Masoudi-Nejad A: Reconstruction
of an integrated genome-scale co-expression network reveals key
modules involved in lung adenocarcinoma. PLoS One. 8:e675522013.
View Article : Google Scholar : PubMed/NCBI
|
|
67
|
Song YJ, Tan J, Gao XH and Wang LX:
Integrated analysis reveals key genes with prognostic value in lung
adenocarcinoma. Cancer Manag Res. 10:6097–6108. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
68
|
D'Archivio S and Wickstead B: Trypanosome
outer kinetochore proteins suggest conservation of chromosome
segregation machinery across eukaryotes. J Cell Biol. 216:379–391.
2017. View Article : Google Scholar : PubMed/NCBI
|
|
69
|
Ju LL, Chen L, Li JH, Wang YF, Lu RJ, Bian
ZL and Shao JG: Effect of NDC80 in human hepatocellular carcinoma.
World J Gastroenterol. 23:3675–3683. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
70
|
Wang L, Dou X, Liu T, Lu W, Ma Y and Yang
Y: Tumor size and lymph node metastasis are prognostic markers of
small cell lung cancer in a Chinese population. Medicine
(Baltimore). 97:e117122018. View Article : Google Scholar : PubMed/NCBI
|
|
71
|
Xu B, Wu DP, Xie RT, Liu LG and Yan XB:
Elevated NDC80 expression is associated with poor prognosis in
osteosarcoma patients. Eur Rev Med Pharmacol Sci. 21:2045–2053.
2017.PubMed/NCBI
|
|
72
|
Yuan W, Xie S, Wang M, Pan S, Huang X,
Xiong M, Xiao RJ, Xiong J, Zhang QP and Shao L: Bioinformatic
analysis of prognostic value of ZW10 interacting protein in lung
cancer. Onco Targets Ther. 11:1683–1695. 2018. View Article : Google Scholar : PubMed/NCBI
|
