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
|
DeSantis CE, Ma J, Gaudet MM, Newman LA,
Miller KD, Goding Sauer A, Jemal A and Siegel RL: Breast cancer
statistics, 2019. CA Cancer J Clin. 69:438–451. 2019. View Article : Google Scholar : PubMed/NCBI
|
3
|
Mubarik S, Malik SS, Wang Z, Li C, Fawad M
and Yu C: Recent insights into breast cancer incidence trends among
four Asian countries using age-period-cohort model. Cancer Manag
Res. 11:8145–8155. 2019. View Article : Google Scholar : PubMed/NCBI
|
4
|
Tang L, Chen Y, Tang X, Wei D, Xu X and
Yan F: Long noncoding RNA DCST1-AS1 promotes cell proliferation and
metastasis in triple-negative breast cancer by forming a positive
regulatory loop with miR-873-5p and MYC. J Cancer. 11:311–323.
2020. View Article : Google Scholar : PubMed/NCBI
|
5
|
Gruosso T, Gigoux M, Manem VSK, Bertos N,
Zuo D, Perlitch I, Saleh SMI, Zhao H, Souleimanova M, Johnson RM,
et al: Spatially distinct tumor immune microenvironments stratify
triple-negative breast cancers. J Clin Invest. 129:1785–1800. 2019.
View Article : Google Scholar : PubMed/NCBI
|
6
|
Chen DQ, Kong XS, Shen XB, Huang MZ, Zheng
JP, Sun J and Xu SH: Identification of differentially expressed
genes and signaling pathways in acute myocardial infarction based
on integrated bioinformatics analysis. Cardiovasc Ther.
2019:84907072019. View Article : Google Scholar : PubMed/NCBI
|
7
|
Võsa U, Kolde R, Vilo J, Metspalu A and
Annilo T: Comprehensive meta-analysis of microRNA expression using
a robust rank aggregation approach. Methods Mol Biol. 1182:361–373.
2014. View Article : Google Scholar : PubMed/NCBI
|
8
|
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
|
9
|
Hewit K, Sandilands E, Martinez RS, James
D, Leung HY, Bryant DM, Shanks E and Markert EK: A functional
genomics screen reveals a strong synergistic effect between
docetaxel and the mitotic gene DLGAP5 that is mediated by the
androgen receptor. Cell Death Dis. 9:10692018. View Article : Google Scholar : PubMed/NCBI
|
10
|
Wang Q, Chen Y, Feng H, Zhang B and Wang
H: Prognostic and predictive value of HURP in non-small cell lung
cancer. Oncol Rep. 39:1682–1692. 2018.PubMed/NCBI
|
11
|
Eissa S, Matboli M, Mansour A, Mohamed S,
Awad N and Kotb YM: Evaluation of urinary HURP mRNA as a marker for
detection of bladder cancer: Relation to bilharziasis. Med Oncol.
31:8042014. View Article : Google Scholar : PubMed/NCBI
|
12
|
Espinoza I, Sakiyama MJ, Ma T, Fair L,
Zhou X, Hassan M, Zabaleta J and Gomez CR: Hypoxia on the
expression of hepatoma upregulated protein in prostate cancer
cells. Front Oncol. 6:1442016. View Article : Google Scholar : PubMed/NCBI
|
13
|
Tsou AP, Yang CW, Huang CYF, Yu RC, Lee
YC, Chang CW, Chen BR, Chung YF, Fann MJ, Chi CW, et al:
Identification of a novel cell cycle regulated gene, HURP,
overexpressed in human hepatocellular carcinoma. Oncogene.
22:298–307. 2003. View Article : Google Scholar : PubMed/NCBI
|
14
|
Hatfield KJ, Reikvam H and Bruserud Ø:
Identification of a subset of patients with acute myeloid leukemia
characterized by long-term in vitro proliferation and altered cell
cycle regulation of the leukemic cells. Expert Opin Ther Targets.
18:1237–1251. 2014. View Article : Google Scholar : PubMed/NCBI
|
15
|
Kretschmer C, Sterner-Kock A, Siedentopf
F, Schoenegg W, Schlag PM and Kemmner W: Identification of early
molecular markers for breast cancer. Mol Cancer. 10:152011.
View Article : Google Scholar : PubMed/NCBI
|
16
|
Aswad L, Yenamandra SP, Ow GS, Grinchuk O,
Ivshina AV and Kuznetsov VA: Genome and transcriptome delineation
of two major oncogenic pathways governing invasive ductal breast
cancer development. Oncotarget. 6:36652–36674. 2015. View Article : Google Scholar : PubMed/NCBI
|
17
|
R Development Core Team, . R: A Language
and Environment for Statistical Computing, Version 3.0.1
(2013-05-16). R Foundation Statistical Compututing; Vienna,
Austria: 2013, Available online. https://www.R-project.orgNovember 1–2013
|
18
|
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
|
19
|
Lu S, Zhao R, Shen J, Zhang Y, Shi J, Xu
C, Chen J, Lin R, Han W and Luo D: Integrated bioinformatics
analysis to screen hub genes in the lymph node metastasis of
thyroid cancer. Oncol Lett. 19:1375–1383. 2020.PubMed/NCBI
|
20
|
Yang J, Han S, Huang W, Chen T, Liu Y, Pan
S and Li S: A meta-analysis of microRNA expression in liver cancer.
PLoS One. 9:e1145332014. View Article : Google Scholar : PubMed/NCBI
|
21
|
Li C, Yin Y, Liu X, Xi X, Xue W and Qu Y:
Non-small cell lung cancer associated microRNA expression
signature: Integrated bioinformatics analysis, validation and
clinical significance. Oncotarget. 8:24564–24578. 2017.PubMed/NCBI
|
22
|
Zhang C, Hu X, Qi F, Luo J and Li X:
Identification of CD2, CCL5 and CCR5 as potential therapeutic
target genes for renal interstitial fibrosis. Ann Transl Med.
7:4542019. View Article : Google Scholar : PubMed/NCBI
|
23
|
Huang da W, Sherman BT and Lempicki RA:
Systematic and integrative analysis of large gene lists using DAVID
bioinformatics resources. Nat Protoc. 4:44–57. 2009. View Article : Google Scholar : PubMed/NCBI
|
24
|
Szklarczyk D, Franceschini A, Wyder S,
Forslund K, Heller D, Huerta-Cepas J, Simonovic M, Roth A, Santos
A, Tsafou KP, et al: STRING v10: Protein-protein interaction
networks, integrated over the tree of life. Nucleic Acids Res.
43:(Database Issue). D447–D452. 2015. View Article : Google Scholar : PubMed/NCBI
|
25
|
Bader GD and Hogue CW: An automated method
for finding molecular complexes in large protein interaction
networks. BMC Bioinformatics. 4:22003. View Article : Google Scholar : PubMed/NCBI
|
26
|
Nagy Á, Lánczky A, Menyhárt O and Győrffy
B: Validation of miRNA prognostic power in hepatocellular carcinoma
using expression data of independent datasets. Sci Rep. 8:92272018.
View Article : Google Scholar : PubMed/NCBI
|
27
|
Ringnér M, Fredlund E, Häkkinen J, Borg Å
and Staaf J: GOBO: Gene expression-based outcome for breast cancer
online. PLoS One. 6:e179112011. View Article : Google Scholar : PubMed/NCBI
|
28
|
Lemler DJ, Lynch ML, Tesfay L, Deng Z,
Paul BT, Wang X, Hegde P, Manz DH, Torti SV and Torti FM: DCYTB is
a predictor of outcome in breast cancer that functions via
iron-independent mechanisms. Breast Cancer Res. 19:252017.
View Article : Google Scholar : PubMed/NCBI
|
29
|
Parker JS, Mullins M, Cheang MC, Leung S,
Voduc D, Vickery T, Davies S, Fauron C, He X, Hu Z, et al:
Supervised risk predictor of breast cancer based on intrinsic
subtypes. J Clin Oncol. 27:1160–1167. 2009. View Article : Google Scholar : PubMed/NCBI
|
30
|
Loi S, Haibe-Kains B, Desmedt C, Lallemand
F, Tutt AM, Gillet C, Ellis P, Harris A, Bergh J, Foekens JA, et
al: Definition of clinically distinct molecular subtypes in
estrogen receptor-positive breast carcinomas through genomic grade.
J Clin Oncol. 25:1239–1246. 2007. View Article : Google Scholar : PubMed/NCBI
|
31
|
Minn AJ, Gupta GP, Siegel PM, Bos PD, Shu
W, Giri DD, Viale A, Olshen AB, Gerald WL and Massagué J: Genes
that mediate breast cancer metastasis to lung. Nature. 436:518–524.
2005. View Article : Google Scholar : PubMed/NCBI
|
32
|
Wang Y, Klijn JG, Zhang Y, Sieuwerts AM,
Look MP, Yang F, Talantov D, Timmermans M, Meijer-van Gelder ME, Yu
J, et al: Gene-expression profiles to predict distant metastasis of
lymph-node-negative primary breast cancer. Lancet. 365:671–679.
2005. View Article : Google Scholar : PubMed/NCBI
|
33
|
Schmidt M, Böhm D, von Törne C, Steiner E,
Puhl A, Pilch H, Lehr HA, Hengstler JG, Kölbl H and Gehrmann M: The
humoral immune system has a key prognostic impact in node-negative
breast cancer. Cancer Res. 68:5405–5413. 2008. View Article : Google Scholar : PubMed/NCBI
|
34
|
Minn AJ, Gupta GP, Padua D, Bos P, Nguyen
DX, Nuyten D, Kreike B, Zhang Y, Wang Y, Ishwaran H, et al: Lung
metastasis genes couple breast tumor size and metastatic spread.
Proc Natl Acad Sci USA. 104:6740–6745. 2007. View Article : Google Scholar : PubMed/NCBI
|
35
|
Yu S, Jiang X, Li J, Li C, Guo M, Ye F,
Zhang M, Jiao Y and Guo B: Comprehensive analysis of the GATA
transcription factor gene family in breast carcinoma using gene
microarrays, online databases and integrated bioinformatics. Sci
Rep. 9:44672019. View Article : Google Scholar : PubMed/NCBI
|
36
|
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
|
37
|
Lee SC, Jain PA, Jethwa SC, Tripathy D and
Yamashita MW: Radiologists' role in breast cancer staging:
Providing key information for clinicians. Radiographics.
34:330–342. 2014. View Article : Google Scholar : PubMed/NCBI
|
38
|
Stelzer G, Rosen N, Plaschkes I, Zimmerman
S, Twik M, Fishilevich S, Stein TI, Nudel R, Lieder I, Mazor Y, et
al: The genecards suite: From gene data mining to disease genome
sequence analyses. Curr Protoc Bioinformatics. 54:1.30.1–1.30.33.
2016. View
Article : Google Scholar
|
39
|
Kalvari I, Tsompanis S, Mulakkal NC,
Osgood R, Johansen T, Nezis IP and Promponas VJ: iLIR: A web
resource for prediction of Atg8-family interacting proteins.
Autophagy. 10:913–925. 2014. View Article : Google Scholar : PubMed/NCBI
|
40
|
Jacomin AC, Samavedam S, Promponas V and
Nezis IP: iLIR database: A web resource for LIR motif-containing
proteins in eukaryotes. Autophagy. 12:1945–1953. 2016. View Article : Google Scholar : PubMed/NCBI
|
41
|
Zhang Y, Yao Y, Qiu X, Wang G, Hu Z, Chen
S, Wu Z, Yuan N, Gao H, Wang J, et al: Listeria hijacks host
mitophagy through a novel mitophagy receptor to evade killing. Nat
Immunol. 20:433–446. 2019. View Article : Google Scholar : PubMed/NCBI
|
42
|
Jian L and Yang G: Identification of key
genes involved in diabetic peripheral neuropathy progression and
associated with pancreatic cancer. Diabetes Metab Syndr Obes.
13:463–476. 2020. View Article : Google Scholar : PubMed/NCBI
|
43
|
Yu CT, Hsu JM, Lee YC, Tsou AP, Chou CK
and Huang CY: Phosphorylation and Stabilization of HURP by
Aurora-A: Implication of HURP as a Transforming Target of Aurora-A.
Mol Cell Biol. 25:5789–5800. 2005. View Article : Google Scholar : PubMed/NCBI
|
44
|
Branchi V, García SA, Radhakrishnan P,
Győrffy B, Hissa B, Schneider M, Reißfelder C and Schölch S:
Prognostic value of DLGAP5 in colorectal cancer. Int J Colorectal
Dis. 34:1455–1465. 2019. View Article : Google Scholar : PubMed/NCBI
|
45
|
Schneider MA, Christopoulos P, Muley T,
Warth A, Klingmueller U, Thomas M, Herth FJ, Dienemann H, Mueller
NS, Theis F and Meister M: AURKA, DLGAP5, TPX2, KIF11 and CKAP5:
Five specific mitosis-associated genes correlate with poor
prognosis for non-small cell lung cancer patients. Int J Oncol.
50:365–372. 2017. View Article : Google Scholar : PubMed/NCBI
|
46
|
Shi YX, Yin JY, Shen Y, Zhang W, Zhou HH
and Liu ZQ: Genome-scale analysis identifies NEK2, DLGAP5 and ECT2
as promising diagnostic and prognostic biomarkers in human lung
cancer. Sci Rep. 7:80722017. View Article : Google Scholar : PubMed/NCBI
|
47
|
Tagal V, Wei S, Zhang W, Brekken RA,
Posner BA, Peyton M, Girard L, Hwang T, Wheeler DA, Minna JD, et
al: SMARCA4-inactivating mutations increase sensitivity to Aurora
kinase A inhibitor VX-680 in non-small cell lung cancers. Nat
Commun. 8:140982017. View Article : Google Scholar : PubMed/NCBI
|
48
|
Yamamoto S, Takayama K, Obinata D,
Fujiwara K, Ashikari D, Takahashi S and Inoue S: Identification of
new octamer transcription factor 1-target genes upregulated in
castration-resistant prostate cancer. Cancer Sci. 110:3476–3485.
2019. View Article : Google Scholar : PubMed/NCBI
|
49
|
Kim D and Cho JY: NQO1 is required for
β-lapachone-mediated downregulation of breast-cancer stem-cell
activity. Int J Mol Sci. 19(pii): E38132018. View Article : Google Scholar : PubMed/NCBI
|
50
|
Freedman RA, Keating NL, Lin NU, Winer EP,
Vaz-Luis I, Lii J, Exman P and Barry WT: Breast cancer-specific
survival by age: Worse outcomes for the oldest patients. Cancer.
124:2184–2191. 2018. View Article : Google Scholar : PubMed/NCBI
|
51
|
Del Prete S, Caraglia M, Luce A, Montella
L, Galizia G, Sperlongano P, Cennamo G, Lieto E, Capasso E,
Fiorentino O, et al: Clinical and pathological factors predictive
of response to neoadjuvant chemotherapy in breast cancer: A single
center experience. Oncol Lett. 18:3873–3879. 2019.PubMed/NCBI
|
52
|
Hueman MT, Wang H, Yang CQ, Sheng L,
Henson DE, Schwartz AM and Chen D: Creating prognostic systems for
cancer patients: A demonstration using breast cancer. Cancer Med.
7:3611–3621. 2018. View Article : Google Scholar : PubMed/NCBI
|
53
|
Howlader N, Noone AM, Krapcho M, Miller D,
Brest A, Yu M, Ruhl J, Tatalovich Z, Mariotto A, Lewis DR, et al:
SEER Cancer Statistics Review, 1975–2016. National Cancer
Institute; Bethesda, MD, USA:
|
54
|
Nechuta S, Lu W, Zheng Y, Cai H, Bao PP,
Gu K, Zheng W and Shu XO: Comorbidities and breast cancer survival:
A report from the Shanghai breast cancer survival study. Breast
Cancer Res Treat. 139:227–235. 2013. View Article : Google Scholar : PubMed/NCBI
|
55
|
Kuo TC, Chang PY, Huang SF, Chou CK and
Chao CC: Knockdown of HURP inhibits the proliferation of
hepacellular carcinoma cells via downregulation of gankyrin and
accumulation of p53. Biochem Pharmacol. 83:758–768. 2012.
View Article : Google Scholar : PubMed/NCBI
|
56
|
Zhang X, Pan Y, Fu H and Zhang J:
Nucleolar and spindle associated protein 1 (NUSAP1) inhibits cell
proliferation and enhances susceptibility to epirubicin in invasive
breast cancer cells by regulating cyclin D kinase (CDK1) and DLGAP5
expression. Med Sci Monit. 24:8553–8564. 2018. View Article : Google Scholar : PubMed/NCBI
|
57
|
Zhong Z, Sanchez-Lopez E and Karin M:
Autophagy, inflammation, and immunity: A Troika governing cancer
and its treatment. Cell. 166:288–298. 2016. View Article : Google Scholar : PubMed/NCBI
|
58
|
Rybstein MD, Bravo-San Pedro JM, Kroemer G
and Galluzzi L: The autophagic network and cancer. Nat Cell Biol.
20:243–251. 2018. View Article : Google Scholar : PubMed/NCBI
|
59
|
Palikaras K, Lionaki E and Tavernarakis N:
Coordination of mitophagy and mitochondrial biogenesis during
ageing in C. Elegans. Nature. 521:525–528. 2015. View Article : Google Scholar : PubMed/NCBI
|
60
|
Lu H, Li G, Liu L, Feng L, Wang X and Jin
H: Regulation and function of mitophagy in development and cancer.
Autophagy. 9:1720–1736. 2013. View Article : Google Scholar : PubMed/NCBI
|
61
|
Chourasia AH and Macleod KF: Tumor
suppressor functions of BNIP3 and mitophagy. Autophagy.
11:1937–1938. 2015. View Article : Google Scholar : PubMed/NCBI
|