1
|
Jelovac D and Armstrong DK: Recent
progress in the diagnosis and treatment of ovarian cancer. CA
Cancer J Clin. 61:183–203. 2011. View Article : Google Scholar : PubMed/NCBI
|
2
|
Escalona RM, Chan E, Kannourakis G,
Findlay JK and Ahmed N: The many facets of metzincins and their
endogenous inhibitors: Perspectives on ovarian cancer progression.
Int J Mol Sci. 19(pii): E4502018. View Article : Google Scholar : PubMed/NCBI
|
3
|
Yang S: Gastric metastasis of ovarian
serous cystadenocarcinoma. Int Med Case Rep J. 11:201–204. 2018.
View Article : Google Scholar : PubMed/NCBI
|
4
|
Cress RD, Chen YS, Morris CR, Petersen M
and Leiserowitz GS: Characteristics of long-term survivors of
epithelial ovarian cancer. Obstet Gynecol. 126:491–497. 2015.
View Article : Google Scholar : PubMed/NCBI
|
5
|
Zhang H, Qiu J, Ye C, Yang D, Gao L, Su Y,
Tang X, Xu N, Zhang D, Xiong L, et al: ROR1 expression correlated
with poor clinical outcome in human ovarian cancer. Sci Rep.
4:58112014. View Article : Google Scholar : PubMed/NCBI
|
6
|
Pal SK, Figlin RA and Reckamp K: Targeted
therapies for non-small cell lung cancer: An evolving landscape.
Mol Cancer Ther. 9:1931–1944. 2010. View Article : Google Scholar : PubMed/NCBI
|
7
|
Kelly K and Huang C: Biological agents in
non-small cell lung cancer: A review of recent advances and
clinical results with a focus on epidermal growth factor receptor
and vascular endothelial growth factor. J Thorac Oncol. 3:664–673.
2008. View Article : Google Scholar : PubMed/NCBI
|
8
|
Liu S, Yin H, Ji H, Zhu J and Ma R:
Overexpression of TRIM44 is an independent marker for predicting
poor prognosis in epithelial ovarian cancer. Exp Ther Med.
16:3034–3040. 2018.PubMed/NCBI
|
9
|
Lee YC, Huang CC, Lin DY, Chang WC and Lee
KH: Overexpression of centromere protein K (CENPK) in ovarian
cancer is correlated with poor patient survival and associated with
predictive and prognostic relevance. PeerJ. 3:e13862015. View Article : Google Scholar : PubMed/NCBI
|
10
|
Xu Y, Wang C, Zhang Y, Jia L and Huang J:
Overexpression of MAGE-A9 is predictive of poor prognosis in
epithelial ovarian cancer. Sci Rep. 5:121042015. View Article : Google Scholar : PubMed/NCBI
|
11
|
Hou T, Yang C, Tong C, Zhang H, Xiao J and
Li J: Overexpression of ASAP1 is associated with poor prognosis in
epithelial ovarian cancer. Int J Clin Exp Pathol. 7:280–287.
2013.PubMed/NCBI
|
12
|
Wang YF, Lang HY, Yuan J, Wang J, Wang R,
Zhang XH, Zhang J, Zhao T, Li YR, Liu JY, et al: Overexpression of
keratin 17 is associated with poor prognosis in epithelial ovarian
cancer. Tumour Biol. 34:1685–1689. 2013. View Article : Google Scholar : PubMed/NCBI
|
13
|
Rakha EA, Reis-Filho JS, Baehner F, Dabbs
DJ, Decker T, Eusebi V, Fox SB, Ichihara S, Jacquemier J, Lakhani
SR, et al: Breast cancer prognostic classification in the molecular
era: The role of histological grade. Breast Cancer Res. 12:2072010.
View Article : Google Scholar : PubMed/NCBI
|
14
|
Skoog P, Ohlsson M, Fernö M, Rydén L,
Borrebaeck CAK and Wingren C: Tumor tissue protein signatures
reflect histological grade of breast cancer. PLoS One.
12:e01797752017. View Article : Google Scholar : PubMed/NCBI
|
15
|
Zhu SC, Liu YH, Wei Y, Li LL, Dou SW, Sun
TY and Shi DP: Intravoxel incoherent motion diffusion-weighted
magnetic resonance imaging for predicting histological grade of
hepatocellular carcinoma: Comparison with conventional
diffusion-weighted imaging. World J Gastroenterol. 24:929–940.
2018. View Article : Google Scholar : PubMed/NCBI
|
16
|
Grotz TE, Royal RE, Mansfield PF, Overman
MJ, Mann GN, Robinson KA, Beaty KA, Rafeeq S, Matamoros A, Taggart
MW and Fournier KF: Stratification of outcomes for mucinous
appendiceal adenocarcinoma with peritoneal metastasis by
histological grade. World J Gastrointest Oncol. 9:354–362. 2017.
View Article : Google Scholar : PubMed/NCBI
|
17
|
Overman MJ, Fournier K, Hu CY, Eng C,
Taggart M, Royal R, Mansfield P and Chang GJ: Improving the
AJCC/TNM staging for adenocarcinomas of the appendix: The
prognostic impact of histological grade. Ann Surg. 257:1072–1078.
2013. View Article : Google Scholar : PubMed/NCBI
|
18
|
Granata V, Fusco R, Catalano O, Guarino B,
Granata F, Tatangelo F, Avallone A, Piccirillo M, Palaia R, Izzo F
and Petrillo A: Intravoxel incoherent motion (IVIM) in
diffusion-weighted imaging (DWI) for Hepatocellular carcinoma:
Correlation with histologic grade. Oncotarget. 7:79357–79364. 2016.
View Article : Google Scholar : PubMed/NCBI
|
19
|
R Core Team 2012. R, . A language and
environment for statistical computing. R Foundation for Statistical
Computing. (Vienna, Austria). ISBN 3-900051-07-0. http://www.R-project.org/
|
20
|
Cancer Genome Atlas Research Network, .
Integrated genomic analyses of ovarian carcinoma. Nature.
474:609–615. 2011. View Article : Google Scholar : PubMed/NCBI
|
21
|
Siegel RL, Miller KD and Jemal A: Cancer
statistics, 2016. CA Cancer J Clin. 66:7–30. 2016. View Article : Google Scholar : PubMed/NCBI
|
22
|
Welsh JB, Zarrinkar PP, Sapinoso LM, Kern
SG, Behling CA, Monk BJ, Lockhart DJ, Burger RA and Hampton GM:
Analysis of gene expression profiles in normal and neoplastic
ovarian tissue samples identifies candidate molecular markers of
epithelial ovarian cancer. Proc Natl Acad Sci USA. 98:1176–1181.
2001. View Article : Google Scholar : PubMed/NCBI
|
23
|
Schwartz DR, Kardia SL, Shedden KA, Kuick
R, Michailidis G, Taylor JM, Misek DE, Wu R, Zhai Y, Darrah DM, et
al: Gene expression in ovarian cancer reflects both morphology and
biological behavior, distinguishing clear cell from other
poor-prognosis ovarian carcinomas. Cancer Res. 62:4722–4729.
2002.PubMed/NCBI
|
24
|
Schaner ME, Ross DT, Ciaravino G, Sorlie
T, Troyanskaya O, Diehn M, Wang YC, Duran GE, Sikic TL, Caldeira S,
et al: Gene expression patterns in ovarian carcinomas. Mol Biol
Cell. 14:4376–4386. 2003. View Article : Google Scholar : PubMed/NCBI
|
25
|
Bonome T, Lee JY, Park DC, Radonovich M,
Pise-Masison C, Brady J, Gardner GJ, Hao K, Wong WH, Barrett JC, et
al: Expression profiling of serous low malignant potential,
low-grade, and high-grade tumors of the ovary. Cancer Res.
65:10602–10612. 2005. View Article : Google Scholar : PubMed/NCBI
|
26
|
Gilks CB, Vanderhyden BC, Zhu S, van de
Rijn M and Longacre TA: Distinction between serous tumors of low
malignant potential and serous carcinomas based on global mRNA
expression profiling. Gynecol Oncol. 96:684–694. 2005. View Article : Google Scholar : PubMed/NCBI
|
27
|
Zhang J, Xu M, Gao H, Guo JC, Guo YL, Zou
M and Wu XF: Two protein-coding genes act as a novel clinical
signature to predict prognosis in patients with ovarian serous
cystadenocarcinoma. Oncol Lett. 15:3669–3675. 2018.PubMed/NCBI
|
28
|
Liu LW, Zhang Q, Guo W, Qian K and Wang Q:
A Five-gene expression signature predicts clinical outcome of
ovarian serous cystadenocarcinoma. Biomed Res Int.
2016:69453042016.PubMed/NCBI
|
29
|
Misawa K, Imai A, Mochizuki D, Misawa Y,
Endo S, Hosokawa S, Ishikawa R, Mima M, Shinmura K, Kanazawa T and
Mineta H: Genes encoding neuropeptide receptors are epigenetic
markers in patients with head and neck cancer: A site-specific
analysis. Oncotarget. 8:76318–76328. 2017. View Article : Google Scholar : PubMed/NCBI
|
30
|
Lin YT, Yu YL, Hong WC, Yeh TS, Chen TC
and Chen JC: NPFFR2 activates the HPA axis and induces anxiogenic
effects in rodents. Int J Mol Sci. 18(pii): E18102017. View Article : Google Scholar : PubMed/NCBI
|
31
|
Shin KJ, Lee YJ, Yang YR, Park S, Suh PG,
Follo MY, Cocco L and Ryu SH: Molecular mechanisms underlying
psychological stress and cancer. Curr Pharm Des. 22:2389–2402.
2016. View Article : Google Scholar : PubMed/NCBI
|
32
|
Hui Y, Wu Y and Tormey CA: The development
of a novel molecular assay examining the role of aminopeptidase P
polymorphisms in acute hypotensive transfusion reactions. Arch
Pathol Lab Med. 137:96–99. 2013. View Article : Google Scholar : PubMed/NCBI
|
33
|
Banu SK, Stanley JA, Sivakumar KK, Arosh
JA, Barhoumi R and Burghardt RC: Identifying a novel role for
X-prolyl aminopeptidase (Xpnpep) 2 in CrVI-induced adverse effects
on germ cell nest breakdown and follicle development in rats. Biol
Reprod. 92:672015. View Article : Google Scholar : PubMed/NCBI
|
34
|
Cheng T, Wei R, Jiang G, Zhou Y, Lv M, Dai
Y, Yuan Y, Luo D, Ma D, Li F and Xi L: XPNPEP2 is overexpressed in
cervical cancer and promotes cervical cancer metastasis. Tumour
Biol. 39:10104283177171222017. View Article : Google Scholar : PubMed/NCBI
|
35
|
Drendel V, Heckelmann B, Chen CY, Weisser
J, Espadas G, Schell C, Sabido E, Werner M, Jilg CA and Schilling
O: Proteome profiling of clear cell renal cell carcinoma in von
Hippel-Lindau patients highlights upregulation of Xaa-Pro
aminopeptidase-1, an anti-proliferative and anti-migratory
exoprotease. Oncotarget. 8:100066–100078. 2017. View Article : Google Scholar : PubMed/NCBI
|
36
|
Jeung HC, Rha SY, Kim HK, Lim HY, Kim S,
Kim SY, Gong SJ, Park CH, Ahn JB, Noh SH and Chung HC:
Multi-institutional phase II study of S-1 monotherapy in advanced
gastric cancer with pharmacokinetic and pharmacogenomic
evaluations. Oncologist. 12:543–554. 2007. View Article : Google Scholar : PubMed/NCBI
|
37
|
Párniczky A, Hegyi E, Tóth AZ, Szücs Á,
Szentesi A, Vincze Á, Izbéki F, Németh BC, Hegyi P and Sahin-Tóth
M: Genetic analysis of human chymotrypsin-like Elastases 3A and 3B
(CELA3A and CELA3B) to assess the role of complex formation between
proelastases and procarboxypeptidases in chronic pancreatitis. Int
J Mol Sci. 17:21482016. View Article : Google Scholar : PubMed/NCBI
|
38
|
Sun X, Yi Y, Xie W, Liang B, Winter MC, He
N, Liu X, Luo M, Yang Y, Ode KL, et al: CFTR influences beta cell
function and insulin secretion through non-cell autonomous
exocrine-derived factors. Endocrinology. 158:3325–3338. 2017.
View Article : Google Scholar : PubMed/NCBI
|
39
|
Han D, Moon S, Kim H, Choi SE, Lee SJ,
Park KS, Jun H, Kang Y and Kim Y: Detection of differential
proteomes associated with the development of type 2 diabetes in the
Zucker rat model using the iTRAQ technique. J Proteome Res.
10:564–577. 2011. View Article : Google Scholar : PubMed/NCBI
|