|
1
|
Globocan 2018, . International Agency for
Research on Cancer 2018. Available from
https://www.uicc.org/new-global-cancer-data-globocan-2018.
|
|
2
|
Bokhman JV: Two pathogenetic types of
endometrial carcinoma. Gynecol Oncol. 15:10–17. 1983. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Creasman W: Revised FIGO staging for
carcinoma of the endometrium. Int J Gynecol Obstet. 105:1092009.
View Article : Google Scholar
|
|
4
|
Creasman WT, Odicino F, Maisonneuve P,
Quinn MA, Beller U, Benedet JL, Heintz AP, Ngan HY and Pecorelli S:
Carcinoma of the corpus uteri. FIGO 26th Annual report on the
results of treatment in gynecological cancer. Int J Gynecol Obstet.
95 (Suppl 1):S105–S143. 2006. View Article : Google Scholar
|
|
5
|
Morice P, Leary A, Creutzberg C,
Abu-Rustum N and Darai E: Endometrial cancer. Lancet.
387:1094–1108. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Siegel RL, Miller KD and Jemal A: Cancer
statistics. CA Cancer J Clin. 68:7–30. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Kitchener HC and Trimble EL; Endometrial
Cancer Working Group of the Gynecologic Cancer Intergroup, :
Endometrial cancer state of the science meeting. Int J Gynecol
Cancer. 19:134–140. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
DeSantis CE, Siegel RL, Sauer AG, Miller
KD, Fedewa SA, Alcaraz KI and Jemal A: Cancer statistics for
African Americans, 2016: Progress and opportunities in reducing
racial disparities. CA Cancer J Clin. 66:290–308. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Lheureux S, Wilson M and Mackay HJ: Recent
and current Phase II clinical trials in endometrial cancer: Review
of the state of art. Expert Opin Investig Drugs. 23:773–792. 2014.
View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Miller KD, Siegel RL, Lin CC, Mariotto AB,
Kramer JL, Rowland JH, Stein KD, Alteri R and Jemal A: Cancer
treatment and survivorship statistics, 2016. CA Cancer J Clin.
66:271–289. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Xu Y, Burmeister C, Hanna RK, Munkarah A
and Elshaikh MA: Predictors of survival after recurrence in women
with early-stage endometrial carcinoma. Int J Gynecol Cancer.
26:1137–1142. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Connor EV and Rose PG: Management
strategies for recurrent endometrial cancer. Expert Rev Anticancer
Ther. 18:873–885. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Jongen V, Briët J, de Jong R, ten Hoor K,
Boezen M, van der Zee A, Nijman H and Hollema H: Expression of
estrogen receptor-alpha and -beta and progesterone receptor-A and
-B in a large cohort of patients with endometrioid endometrial
cancer. Gynecol Oncol. 112:537–542. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Werner HM and Salvesen HB: Current status
of molecular biomarkers in endometrial cancer. Curr Oncol Rep.
16:4032014. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
Catasus L, D'Angelo E, Pons C, Espinosa I
and Prat J: Expression profiling of 22 genes involved in the
PI3K-AKT pathway identifies two subgroups of high-grade endometrial
carcinomas with different molecular alterations. Mod Pathol.
23:694–702. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
O'Mara TA, Zhao M and Spurdle AB:
Meta-analysis of gene expression studies in endometrial cancer
identifies gene expression profiles associated with aggressive
disease and patient outcome. Sci Rep. 6:366772016. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Sun Y, Zou X, He J and Mao Y:
Identification of long non-coding RNAs biomarkers associated with
progression of endometrial carcinoma and patient outcomes.
Oncotarget. 8:52604–52613. 2016. View Article : Google Scholar
|
|
18
|
Cancer Genome Atlas Research Network, .
Kandoth C, Schultz N, Cherniack AD, Akbani R, Liu Y, Shen H,
Robertson AG, Pashtan I, Shen R, et al: Integrated genomic
characterization of endometrial carcinoma. Nature. 497:67–73. 2013.
View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Bauer-Mehren A, Rautschka M, Sanz F and
Furlong LI: DisGeNET: A Cytoscape plugin to visualize, integrate,
search and analyze gene-disease networks. Bioinformatics.
26:2924–2926. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Piñero J, Queralt-Rosinach N, Bravo À,
Deu-Pons J, Bauer-Mehren A, Baron M, Sanz F and Furlong LI:
DisGeNET: A discovery platform for the dynamical exploration of
human diseases and their genes. Database (Oxford). 2015:bav0282015.
View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Bodenreider O: The Unified Medical
Language System (UMLS): Integrating biomedical terminology. Nucleic
Acids Res. 32((Database Issue)): D267–D270. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Day RS, McDade KK, Chandran UR, Lisovich
A, Conrads TP, Hood BL, Kolli VS, Kirchner D, Litzi T and Maxwell
GL: Identifier mapping performance for integrating transcriptomics
and proteomics experimental results. BMC Bioinformatics.
12:2132011. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Chen J, Bardes EE, Aronow BJ and Jegga AG:
ToppGene Suite for gene list enrichment analysis and candidate gene
prioritization. Nucleic Acids Res. 37:(Web Server issue).
W305–W311. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Chin CH, Chen SH, Wu HH, Ho CW, Ko MT and
Lin CY: CytoHubba: Identifying hub objects and sub-networks from
complex interactome. BMC Syst Biol. 8 (Suppl 4):S112014. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Colas E, Perez C, Cabrera S, Pedrola N,
Monge M, Castellvi J, Eyzaguirre F, Gregorio J, Ruiz A, Llaurado M,
et al: Molecular markers of endometrial carcinoma detected in
uterine aspirates. Int J Cancer. 129:2435–2444. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Monge M, Colas E, Doll A, Gonzalez M,
Gil-Moreno A, Planaguma J, Quiles M, Arbos MA, Garcia A, Castellvi
J, et al: ERM/ETV5 up-regulation plays a role during myometrial
infiltration through matrix metalloproteinase-2 activation in
endometrial cancer. Cancer Res. 67:6753–6759. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
27
|
Altadill T, Dowdy TM, Gill K, Reques A,
Menon SS, Moiola CP, Lopez-Gil C, Coll E, Matias-Guiu X, Cabrera S,
et al: Metabolomic and lipidomic profiling identifies the role of
the RNA editing pathway in endometrial carcinogenesis. Sci Rep.
7:88032017. View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Lapyckyj L, Castillo LF, Matos ML,
Gabrielli NM, Lüthy IA and Vazquez-Levin MH: Expression analysis of
epithelial cadherin and related proteins in IBH-6 and IBH-4 human
breast cancer cell lines. J Cell Physiol. 222:596–605.
2010.PubMed/NCBI
|
|
29
|
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
|
|
30
|
Budczies J, Klauschen F, Sinn BV, Győrffy
B, Schmitt WD, Darb-Esfahani S and Denkert C: Cutoff Finder: A
comprehensive and straight forward Web application enabling rapid
biomarker cut off optimization. PLoS One. 7:e518622012. View Article : Google Scholar : PubMed/NCBI
|
|
31
|
Yen MS, Chen TH, Ke YM, Hsu KF, Chen JR,
Yu MH, Fu HC, Huang CY, Chiang AJ, Chen CY, et al:
Clinicopathologic features and treatment outcomes in patients with
stage I, high-risk histology or high-grade endometrial cancer after
primary staging surgery: A Taiwanese Gynecologic Oncology group
study. J Clin Med. 7:2542018. View Article : Google Scholar
|
|
32
|
Colombo N, Preti E, Landoni F, Carinelli
S, Colombo A, Marini C and Sessa C; ESMO Guidelines Working Group,
: Endometrial cancer: ESMO Clinical Practice Guidelines for
diagnosis, treatment and follow-up. Ann Oncol. 22 (Suppl
6):vi35–vi39. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Frumovitz M, Singh D, Meyer L, Smith DH,
Wertheim I, Resnik E and Bodurka DC: Predictors of final histology
in patients with endometrial cancer. Gynecol Oncol. 95:463–468.
2004. View Article : Google Scholar : PubMed/NCBI
|
|
34
|
Neubauer NL, Havrilesky LJ, Calingaert B,
Bulusu A, Bernardini MQ, Fleming ND, Bland AE and Secord AA: The
role of lymphadenectomy in the management of preoperative grade 1
endometrial carcinoma. Gynecol Oncol. 112:511–516. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Body N, Lavoué V, De Kerdaniel O, Foucher
F, Henno S, Cauchois A, Laviolle B, Leblanc M and Levêque J: Are
preoperative histology and MRI useful for classification of
endometrial cancer risk? BMC Cancer. 16:4982016. View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Rounbehler RJ, Berglund AE, Gerke T,
Takhar MM, Awasthi S, Li W, Davicioni E, Erho NG, Ross AE,
Schaeffer EM, et al: Tristetraprolin is a prognostic biomarker for
poor outcomes among patients with low-grade prostate cancer. Cancer
Epidemiol Biomarkers Prev. 27:1376–1383. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
37
|
Chen XH, Zhang WW, Wang J, Sun JY, Li FY,
He ZY and Wu SG: 21-gene recurrence score and adjuvant chemotherapy
decisions in patients with invasive lobular breast cancer. Biomark
Med. 13:83–93. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
38
|
Abascal MF, Besso MJ, Rosso M, Mencucci
MV, Aparicio E, Szapiro G, Furlong LI and Vazquez-Levin MH:
CDH1/E-cadherin and solid tumors. An updated gene-disease
association analysis using bioinformatics tools. Comput Biol Chem.
60:9–20. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
39
|
Dalleau K, Marzougui Y, Da Silva S, Ringot
P, Ndiaye NC and Coulet A: Learning from biomedical linked data to
suggest valid pharmacogenes. J Biomed Semantics. 8:162017.
View Article : Google Scholar : PubMed/NCBI
|
|
40
|
Eguchi R, Karim MB, Hu P, Sato T, Ono N,
Kanaya S and Altaf-Ul-Amin M: An integrative network-based approach
to identify novel disease genes and pathways: A case study in the
context of inflammatory bowel disease. BMC Bioinformatics.
19:2642018. View Article : Google Scholar : PubMed/NCBI
|
|
41
|
Gomez-Rubio P, Piñero J, Molina-Montes E,
Gutiérrez-Sacristán A, Marquez M, Rava M, Michalski CW, Farré A,
Molero X, Löhr M, et al: Pancreatic cancer and autoimmune diseases:
An association sustained by computational and epidemiological
case-control approaches. Int J Cancer. 144:1540–1549. 2019.
View Article : Google Scholar : PubMed/NCBI
|
|
42
|
Santiago JA and Potashkin JA: System-based
approaches to decode the molecular links in Parkinson's disease and
diabetes. Neurobiol Dis. 72:84–91. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
43
|
Zang Y, Dong M, Zhang K, Tian W, Wang Y
and Xue F: Bioinformatics analysis of key differentially expressed
genes in well and poorly differentiated endometrial carcinoma. Mol
Med Rep. 18:467–476. 2018.PubMed/NCBI
|
|
44
|
Lin G, Yin G, Yan Y and Lin B:
Identification of prognostic biomarkers for malignant melanoma
using microarray datasets. Oncol Lett. 18:5243–5254.
2019.PubMed/NCBI
|
|
45
|
Liu J, Yu Z, Sun M, Liu Q, Wei M and Gao
H: Identification of cancer/testis antigen 2 gene as a potential
hepatocellular carcinoma therapeutic target by hub gene screening
with topological analysis. Oncol Lett. 18:4778–4788.
2019.PubMed/NCBI
|
|
46
|
Shi J, Zhang P, Liu L, Min X and Xiao Y:
Weighted gene coexpression network analysis identifies a new
biomarker of CENPF for prediction disease prognosis and progression
in nonmuscle invasive bladder cancer. Mol Genet Genomic Med.
7:e9822019. View Article : Google Scholar : PubMed/NCBI
|
|
47
|
Zhang B, Wu Q, Xu R, Hu X, Sun Y, Wang Q,
Ju F, Ren S, Zhang C, Qi F, et al: The promising novel biomarkers
and candidate small molecule drugs in lower-grade glioma: Evidence
from bioinformatics analysis of high-throughput data. J Cell
Biochem. 120:15106–15118. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
48
|
Zhou M, Zhu Y, Hou R, Mou X and Tan J:
Identification of candidate genes for the diagnosis and treatment
of cholangiocarcinoma using a bioinformatics approach. Oncol Lett.
18:5459–5467. 2019.PubMed/NCBI
|
|
49
|
Callaway DS, Newman ME, Strogatz SH and
Watts DJ: Network robustness and fragility: Percolation on random
graphs. Phys Rev Lett. 85:5468–5471. 2000. View Article : Google Scholar : PubMed/NCBI
|
|
50
|
Cohen R, Erez K, ben-Avraham D and Havlin
S: Resilience of the internet to random breakdowns. Phys Rev Lett.
85:4626–4628. 2000. View Article : Google Scholar : PubMed/NCBI
|
|
51
|
Planagumà J, Abal M, Gil-Moreno A,
Díaz-Fuertes M, Monge M, García A, Baró T, Xercavins J, Reventós J
and Alameda F: Up-regulation of ERM/ETV5 correlates with the degree
of myometrial infiltration in endometrioid endometrial carcinoma. J
Pathol. 207:422–429. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
52
|
Colas E, Muinelo-Romay L, Alonso-Alconada
L, Llaurado M, Monge M, Barbazan J, Gonzalez M, Schoumacher M,
Pedrola N, Ertekin T, et al: ETV5 cooperates with LPP as a sensor
of extracellular signals and promotes EMT in endometrial
carcinomas. Oncogene. 31:4778–4788. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
53
|
Fu J, Bian M, Xin G, Deng Z, Luo J, Guo X,
Chen H, Wang Y, Jiang Q and Zhang C: TPX2 phosphorylation maintains
metaphase spindle length by regulating microtubule flux. J Cell
Biol. 210:373–383. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
54
|
Shim SY, Perez de Castro I, Neumayer G,
Wang J, Park SK, Sanada K and Nguyen MD: Phosphorylation of
targeting protein for Xenopus kinesin-like protein 2 (TPX2) at
threonine 72 in spindle assembly. J Biol Chem. 290:9122–9134. 2015.
View Article : Google Scholar : PubMed/NCBI
|
|
55
|
Asteriti IA, Rensen WM, Lindon C, Lavia P
and Guarguaglini G: The Aurora-A/TPX2 complex: A novel oncogenic
holoenzyme? Biochim Biophys Acta. 1806:230–239. 2010.PubMed/NCBI
|
|
56
|
Neumayer G, Belzil C, Gruss OJ and Nguyen
MD: TPX2: Of spindle assembly, DNA damage response, and cancer.
Cell Mol Life Sci. 71:3027–3047. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
57
|
Shen L, Liu M, Liu W, Cui J and Li C:
Bioinformatics analysis of RNA sequencing data reveals multiple key
genes in uterine corpus endometrial carcinoma. Oncol Lett.
15:205–212. 2018.PubMed/NCBI
|
|
58
|
Liu Y, Hua T, Chi S and Wang H:
Identification of key pathways and genes in endometrial cancer
using bioinformatics analyses. Oncol Lett. 17:897–906.
2019.PubMed/NCBI
|
|
59
|
Jiang T, Sui D, You D, Yao S, Zhang L,
Wang Y, Zhao J and Zhang Y: MiR-29a-5p inhibits proliferation and
invasion and induces apoptosis in endometrial carcinoma via
targeting TPX2. Cell Cycle. 17:1268–1278. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
60
|
Zhang K, Li H, Yan Y, Zang Y, Li K, Wang Y
and Xue F: Identification of key genes and pathways between type I
and type II endometrial cancer using bioinformatics analysis. Oncol
Lett. 18:2464–2476. 2019.PubMed/NCBI
|
|
61
|
Menche J, Sharma A, Kitsak M, Ghiassian
SD, Vidal M, Loscalzo J and Barabási AL: Disease networks.
Uncovering disease-disease relationships through the incomplete
interactome. Science. 347:12576012015. View Article : Google Scholar : PubMed/NCBI
|
