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pmid:33987018

Centromere protein N may be a novel malignant prognostic biomarker for hepatocellular carcinoma.

Qingqing Wang · Xiaoyan Yu · Zhewen Zheng · Fengxia Chen · Ningning Yang · Yunfeng Zhou

PeerJ · 2021 doi:10.7717/peerj.11342

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title
Centromere protein N may be a novel malignant prognostic biomarker for hepatocellular carcinoma.
doi
10.7717/peerj.11342
pmid
33987018
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[0]
Qingqing Wang
[1]
Xiaoyan Yu
[2]
Zhewen Zheng
[3]
Fengxia Chen
[4]
Ningning Yang
[5]
Yunfeng Zhou
journal
PeerJ
year
2021
abstract
BACKGROUND: Hepatocellular carcinoma (HCC) is one of the deadliest tumors. The majority of HCC is detected in the late stage, and the clinical results for HCC patients are poor. There is an urgent need to discover early diagnostic biomarkers and potential therapeutic targets for HCC. METHODS: The GSE87630 and GSE112790 datasets from the Gene Expression Omnibus (GEO) database were downloaded to analyze the differentially expressed genes (DEGs) between HCC and normal tissues. R packages were used for Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment analyses of the DEGs. A Search Tool for Retrieval of Interacting Genes (STRING) database was used to develop a protein-protein interaction (PPI) network, and also cytoHubba, Molecular Complex Detection (MCODE), EMBL-EBI, CCLE, Gene Expression Profiling Interactive Analysis (GEPIA), and Oncomine analyses were performed to identify hub genes. Gene expression was verified with a third GEO dataset, GSE25097. The Cancer Genome Atlas (TCGA) database was used to explore the correlations between the hub genes and clinical indexes of HCC patients. The functions of the hub genes were enriched by gene set enrichment analysis (GSEA), and the biological significance of the hub genes was explored by real-time polymerase chain reaction (qRT-PCR), western blot, immunofluorescence, CCK-8, colony formation, Transwell and flow cytometry assays with loss-of-function experiments in vitro. RESULTS: Centromere protein N (CENPN) was screened as a hub gene affecting HCC tumorigenesis. Evaluation by Cox regression showed that a high level of CENPN expression was an independent danger variable for poor prognosis of HCC. GSEA showed that high CENPN expression was linked to the following pathways: liver cancer subclass proliferation, cell cycle, p53 signaling pathway, Rb1 pathway, positive regulation of cell cycle G1/S phase transition, and DNA damage response signal transduction by p53 class moderators. Further cell experiments showed that knocking down CENPN expression decreased the proliferation and colony-forming abilities of HepG2 and Huh7 cells as well as Ki67 expression in these cell lines. The cell cycle was arrested in G1 phase, which is consistent with previous experiments on CENPN downregulation., but neither migration nor invasion were significantly affected. Western blot results revealed that the expression of p53, p27, p21, CDK4, cyclin D1, CDK2, cyclin E, pRb, E2F1 and c-myc decreased after CENPN knockdown, but there was no significant change in total Rb levels. In addition, CENPN-knockdown cells subjected to irradiation showed significantly enhanced of γ-H2AX expression and reduced colony formation. CONCLUSION: CENPN functions as an oncogene in HCC and may be a therapeutic target and promising prognostic marker for HCC.
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The relationships between variables and patient survival were analyzed with Cox models, and the results were evaluated with SPSS 22.0 software (SPSS, Chicago, IL, United States). CENPN gene expression in the TCGA liver cancer database (TCGA-LIHC) was extracted.
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The relationships between variables and patient survival were analyzed with Cox models, and the results were evaluated with SPSS 22.0 software (SPSS, Chicago, IL, United States).
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sections[8] "Database analysis of the differential expression and prognosis of the CENPN gene" paragraph 2
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CENPN gene expression in the TCGA liver cancer database (TCGA-LIHC) was extracted.
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The following information was supplied regarding data availability: The main data are available at TCGA and NCBI-GEO (GSE87630, GSE112790 and GSE25097). The raw measurements are available in the Supplementary Files. https://portal.gdc.cancer.gov/.
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The following information was supplied regarding data availability: The main data are available at TCGA and NCBI-GEO (GSE87630, GSE112790 and GSE25097). The raw measurements are available in the Supplementary Files. https://portal.gdc.cancer.gov/.
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[227]
GSM616931
[228]
GSM616932
[229]
GSM616933
[230]
GSM616934
[231]
GSM616935
[232]
GSM616936
[233]
GSM616937
[234]
GSM616938
[235]
GSM616939
[236]
GSM616940
[237]
GSM616941
[238]
GSM616942
[239]
GSM616943
[240]
GSM616944
[241]
GSM616945
[242]
GSM616947
[243]
GSM616948
[244]
GSM616950
[245]
GSM616952
[246]
GSM616953
[247]
GSM616955
[248]
GSM616957
[249]
GSM616959
[250]
GSM616961
[251]
GSM616963
[252]
GSM616965
[253]
GSM616966
[254]
GSM616968
[255]
GSM616970
[256]
GSM616972
[257]
GSM616973
[258]
GSM616975
[259]
GSM616977
[260]
GSM616978
[261]
GSM616980
[262]
GSM616982
[263]
GSM616984
[264]
GSM616986
[265]
GSM616987
[266]
GSM616989
[267]
GSM616990
[268]
GSM616992
[269]
GSM616994
[270]
GSM616995
[271]
GSM616996
[272]
GSM616997
[273]
GSM616998
[274]
GSM616999
[275]
GSM617000
[276]
GSM617001
[277]
GSM617002
[278]
GSM617003
[279]
GSM617004
[280]
GSM617005
[281]
GSM617006
[282]
GSM617007
[283]
GSM617008
[284]
GSM617009
[285]
GSM617010
[286]
GSM617011
[287]
GSM617012
[288]
GSM617013
[289]
GSM617304
[290]
GSM617305
[291]
GSM617306
[292]
GSM617307
[293]
GSM617308
[294]
GSM617309
[295]
GSM617310
[296]
GSM617311
[297]
GSM617312
[298]
GSM617313
[299]
GSM617314
[300]
GSM617315
[301]
GSM617316
[302]
GSM617317
[303]
GSM617318
[304]
GSM617319
[305]
GSM617320
[306]
GSM617321
[307]
GSM617322
[308]
GSM617323
[309]
GSM617324
[310]
GSM617325
[311]
GSM617326
[312]
GSM617327
[313]
GSM617328
[314]
GSM617329
[315]
GSM617330
[316]
GSM617331
[317]
GSM617332
[318]
GSM617333
[319]
GSM617334
[320]
GSM617335
[321]
GSM617336
[322]
GSM617337
[323]
GSM617338
[324]
GSM617339
[325]
GSM617340
[326]
GSM617341
[327]
GSM617342
[328]
GSM617343
[329]
GSM617344
[330]
GSM617345
[331]
GSM617346
[332]
GSM617347
[333]
GSM617348
[334]
GSM617349
[335]
GSM617350
[336]
GSM617351
[337]
GSM617352
[338]
GSM617353
[339]
GSM617354
[340]
GSM617355
[341]
GSM617356
[342]
GSM617357
[343]
GSM617358
[344]
GSM617359
[345]
GSM617360
[346]
GSM617361
[347]
GSM617362
[348]
GSM617363
[349]
GSM617364
[350]
GSM617365
[351]
GSM617366
[352]
GSM617367
[353]
GSM617368
[354]
GSM617369
[355]
GSM617370
[356]
GSM617371
[357]
GSM617372
[358]
GSM617373
[359]
GSM617374
[360]
GSM617375
[361]
GSM617376
[362]
GSM617377
[363]
GSM617378
[364]
GSM617379
[365]
GSM617380
[366]
GSM617381
[367]
GSM617382
[368]
GSM617383
[369]
GSM617384
[370]
GSM617385
[371]
GSM617386
[372]
GSM617387
[373]
GSM617388
[374]
GSM617389
[375]
GSM617390
[376]
GSM617391
[377]
GSM617392
[378]
GSM617393
[379]
GSM617394
[380]
GSM617395
[381]
GSM617396
[382]
GSM617397
[383]
GSM617398
[384]
GSM617399
[385]
GSM617400
[386]
GSM617401
[387]
GSM617402
[388]
GSM617403
[389]
GSM617404
[390]
GSM617405
[391]
GSM617406
[392]
GSM617407
[393]
GSM617408
[394]
GSM617409
[395]
GSM617410
[396]
GSM617411
[397]
GSM617412
[398]
GSM617413
[399]
GSM617414
[400]
GSM617415
[401]
GSM617416
[402]
GSM617417
[403]
GSM617418
[404]
GSM617419
[405]
GSM617420
[406]
GSM617421
[407]
GSM617422
[408]
GSM617423
[409]
GSM617424
[410]
GSM617425
[411]
GSM617426
[412]
GSM617427
[413]
GSM617428
[414]
GSM617429
[415]
GSM617430
[416]
GSM617431
[417]
GSM617432
[418]
GSM617433
[419]
GSM617434
[420]
GSM617435
[421]
GSM617436
[422]
GSM617437
[423]
GSM617438
[424]
GSM617439
[425]
GSM617440
[426]
GSM617441
[427]
GSM617442
[428]
GSM617443
[429]
GSM617444
[430]
GSM617445
[431]
GSM617446
[432]
GSM617447
[433]
GSM617448
[434]
GSM617449
[435]
GSM617450
[436]
GSM617451
[437]
GSM617452
[438]
GSM617453
[439]
GSM617454
[440]
GSM617455
[441]
GSM617456
[442]
GSM617457
[443]
GSM617458
[444]
GSM617459
[445]
GSM617460
[446]
GSM617461
[447]
GSM617462
[448]
GSM617463
[449]
GSM617464
[450]
GSM617465
[451]
GSM617466
[452]
GSM617467
[453]
GSM617468
[454]
GSM617469
[455]
GSM617470
[456]
GSM617471
[457]
GSM617472
[458]
GSM617473
[459]
GSM617474
[460]
GSM617475
[461]
GSM617476
[462]
GSM617477
[463]
GSM617478
[464]
GSM617479
[465]
GSM617480
[466]
GSM617481
[467]
GSM617482
[468]
GSM617483
[469]
GSM617484
[470]
GSM617485
[471]
GSM617486
[472]
GSM617487
[473]
GSM617488
[474]
GSM617489
[475]
GSM617490
[476]
GSM617491
[477]
GSM617492
[478]
GSM617493
[479]
GSM617494
[480]
GSM617495
[481]
GSM617496
[482]
GSM617497
[483]
GSM617498
[484]
GSM617499
[485]
GSM617500
[486]
GSM617501
[487]
GSM617502
[488]
GSM617503
[489]
GSM617504
[490]
GSM617505
[491]
GSM617506
[492]
GSM617507
[493]
GSM617508
[494]
GSM617509
[495]
GSM617510
[496]
GSM617511
[497]
GSM617512
[498]
GSM617513
[499]
GSM617514
[500]
GSM617515
[501]
GSM617516
[502]
GSM617517
[503]
GSM617518
[504]
GSM617519
[505]
GSM617520
[506]
GSM617521
[507]
GSM617522
[508]
GSM617523
[509]
GSM617524
[510]
GSM617525
[511]
GSM617526
[512]
GSM617527
[513]
GSM617528
[514]
GSM617529
[515]
GSM617530
[516]
GSM617531
[517]
GSM617532
[518]
GSM617533
[519]
GSM617534
[520]
GSM617535
[521]
GSM617536
[522]
GSM617537
[523]
GSM617538
[524]
GSM617539
[525]
GSM617540
[526]
GSM617541
[527]
GSM617542
[528]
GSM617543
[529]
GSM617544
[530]
GSM617545
[531]
GSM617546
[532]
GSM617547
[533]
GSM617548
[534]
GSM617549
[535]
GSM617550
[536]
GSM617551
[537]
GSM617552
[538]
GSM617553
[539]
GSM617554
[540]
GSM617555
[541]
GSM617556
[542]
GSM617557
[543]
GSM617558
[544]
GSM617559
[545]
GSM617560
[546]
GSM617561
[547]
GSM617562
[548]
GSM617563
[549]
GSM617564
[550]
GSM617565
[551]
GSM617566
[552]
GSM617567
[553]
GSM617568
[554]
GSM617569
[555]
GSM617570
[556]
GSM617571
sample_count
557
group_sizes
null
group_sizes_basis
null
platform
10687
taxon
Homo sapiens
title
Study of gene expression of human liver Hepatocellular carcinoma
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 15 fields
id
data:geo:GSE87630
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE87630
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE87630
version
null
note
The following information was supplied regarding data availability: The main data are available at TCGA and NCBI-GEO (GSE87630, GSE112790 and GSE25097). The raw measurements are available in the Supplementary Files. https://portal.gdc.cancer.gov/.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The following information was supplied regarding data availability: The main data are available at TCGA and NCBI-GEO (GSE87630, GSE112790 and GSE25097). The raw measurements are available in the Supplementary Files. https://portal.gdc.cancer.gov/.
access_statement_kind
data_availability_statement
sample_accessions array · 94 items
[0]
GSM2335922
[1]
GSM2335923
[2]
GSM2335924
[3]
GSM2335925
[4]
GSM2335926
[5]
GSM2335927
[6]
GSM2335928
[7]
GSM2335929
[8]
GSM2335930
[9]
GSM2335931
[10]
GSM2335932
[11]
GSM2335933
[12]
GSM2335934
[13]
GSM2335935
[14]
GSM2335936
[15]
GSM2335937
[16]
GSM2335938
[17]
GSM2335939
[18]
GSM2335940
[19]
GSM2335941
[20]
GSM2335942
[21]
GSM2335943
[22]
GSM2335944
[23]
GSM2335945
[24]
GSM2335946
[25]
GSM2335947
[26]
GSM2335948
[27]
GSM2335949
[28]
GSM2335950
[29]
GSM2335951
[30]
GSM2335952
[31]
GSM2335953
[32]
GSM2335954
[33]
GSM2335955
[34]
GSM2335956
[35]
GSM2335957
[36]
GSM2335958
[37]
GSM2335959
[38]
GSM2335960
[39]
GSM2335961
[40]
GSM2335962
[41]
GSM2335963
[42]
GSM2335964
[43]
GSM2335965
[44]
GSM2335966
[45]
GSM2335967
[46]
GSM2335968
[47]
GSM2335969
[48]
GSM2335970
[49]
GSM2335971
[50]
GSM2335972
[51]
GSM2335973
[52]
GSM2335974
[53]
GSM2335975
[54]
GSM2335976
[55]
GSM2335977
[56]
GSM2335978
[57]
GSM2335979
[58]
GSM2335980
[59]
GSM2335981
[60]
GSM2335982
[61]
GSM2335983
[62]
GSM2335984
[63]
GSM2335985
[64]
GSM2335986
[65]
GSM2335987
[66]
GSM2335988
[67]
GSM2335989
[68]
GSM2335990
[69]
GSM2335991
[70]
GSM2335992
[71]
GSM2335993
[72]
GSM2335994
[73]
GSM2335995
[74]
GSM2335996
[75]
GSM2335997
[76]
GSM2335998
[77]
GSM2335999
[78]
GSM2336000
[79]
GSM2336001
[80]
GSM2336002
[81]
GSM2336003
[82]
GSM2336004
[83]
GSM2336005
[84]
GSM2336006
[85]
GSM2336007
[86]
GSM2336008
[87]
GSM2336009
[88]
GSM2336010
[89]
GSM2336011
[90]
GSM2336012
[91]
GSM2336013
[92]
GSM2336014
[93]
GSM2336015
sample_count
94
group_sizes
null
group_sizes_basis
null
platform
6947
taxon
Homo sapiens
title
Integrated analysis of genomic and epigenomic regulation of transcriptome identifies molecular subtypes of liver cancer (gene expression)
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[4] object · 16 fields
id
asset:table:pmid:33987018:1
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:f68fe35dc2a6cf4166fa296c7257ba6057e5d7fa4f66bacf6827e4fb86828dc8
bytes
912
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[21]/table-wrap[1]#table-1
version
null
note
Hub genes for DEGs ranked in cytoHubba plugin of Cytoscape.
structure object · 5 fields
pmcid
PMC8101454
section_index
21
section_title
Construction of the PPI network as well as screening of hub genes
row_count
32
column_count
3
table object · 8 fields
label
Table 1
caption
Hub genes for DEGs ranked in cytoHubba plugin of Cytoscape.
rows array · 32 items
[0] array · 2 items
[0]
Catelogy
[1]
Rank methods in cytoHubba
[1] array · 3 items
[0]
[1]
MCC
[2]
DMNC
[2] array · 3 items
[0]
Gene symbol top 30
[1]
CCNA2
[2]
CDKN3
[3] array · 3 items
[0]
[1]
CDKN3
[2]
KIF20A
[4] array · 3 items
[0]
[1]
KIF20A
[2]
PRC1
[5] array · 3 items
[0]
[1]
PRC1
[2]
RACGAP1
[6] array · 3 items
[0]
[1]
RACGAP1
[2]
KIF2C
[7] array · 3 items
[0]
[1]
KIF2C
[2]
CDCA5
[8] array · 3 items
[0]
[1]
UBE2C
[2]
CDCA8
[9] array · 3 items
[0]
[1]
CDCA8
[2]
ASPM
[10] array · 3 items
[0]
[1]
CDC20
[2]
HJURP
[11] array · 3 items
[0]
[1]
TPX2
[2]
OIP5
[12] array · 3 items
[0]
[1]
AURKA
[2]
MCM7
[13] array · 3 items
[0]
[1]
ASPM
[2]
MCM6
[14] array · 3 items
[0]
[1]
HJURP
[2]
GINS2
[15] array · 3 items
[0]
[1]
TOP2A
[2]
CENPN
[16] array · 3 items
[0]
[1]
OIP5
[2]
CENPM
[17] array · 3 items
[0]
[1]
GINS2
[2]
MCM4
[18] array · 3 items
[0]
[1]
CENPN
[2]
HMMR
[19] array · 3 items
[0]
[1]
CENPM
[2]
NCAPD2
[20] array · 3 items
[0]
[1]
HMMR
[2]
NCAPG
[21] array · 3 items
[0]
[1]
NCAPG
[2]
NUSAP1
[22] array · 3 items
[0]
[1]
AURKB
[2]
MELK
[23] array · 3 items
[0]
[1]
NUSAP1
[2]
TRIP13
[24] array · 3 items
[0]
[1]
MELK
[2]
FOXM1
[25] array · 3 items
[0]
[1]
CCNB2
[2]
MCM2
[26] array · 3 items
[0]
[1]
TRIP13
[2]
MCM5
[27] array · 3 items
[0]
[1]
FOXM1
[2]
KIF4A
[28] array · 3 items
[0]
[1]
MCM2
[2]
FEN1
[29] array · 3 items
[0]
[1]
KIF4A
[2]
PTTG1
[30] array · 3 items
[0]
[1]
PTTG1
[2]
CENPF
[31] array · 3 items
[0]
[1]
CENPF
[2]
UHRF1
locator
section[21]/table-wrap[1]#table-1
[5] object · 16 fields
id
asset:table:pmid:33987018:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:34167e48a5b850f8511e82f6566e9dd63a1627554170a26a0ffc99ec12105475
bytes
1081
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[23]/table-wrap[1]#table-2
version
null
note
Cox regression analysis of overall survival of HCC.
structure object · 5 fields
pmcid
PMC8101454
section_index
23
section_title
Verification of the correlation between CENPN and clinicopathological features of HCC patients through the TCGA database
row_count
10
column_count
7
table object · 8 fields
label
Table 2
caption
Cox regression analysis of overall survival of HCC.
rows array · 10 items
[0] array · 3 items
[0]
Variables
[1]
Univariate analysis
[2]
Multivariate analysis
[1] array · 7 items
[0]
[1]
HR
[2]
95% CI of HR
[3]
P-value
[4]
HR
[5]
95% CI of HR
[6]
P-value
[2] array · 7 items
[0]
Age ( ≤65 vs >65)
[1]
0.989
[2]
0.606–1.614
[3]
0.964
[4]
0.875
[5]
0.521–1.470
[6]
0.614
[3] array · 7 items
[0]
Gender (female vs male)
[1]
1.285
[2]
0.804–2.054
[3]
0.294
[4]
1.141
[5]
0.691–1.883
[6]
0.606
[4] array · 7 items
[0]
Grade (grade 1 + 2 vs grade 3 + 4)
[1]
0.934
[2]
0.592–1.474
[3]
0.769
[4]
0.839
[5]
0.524–1.344
[6]
0.466
[5] array · 7 items
[0]
Stage (stageI + II vs stageIII + IV)
[1]
0.324
[2]
0.206–0.512
[3]
0.000
[4]
3.568
[5]
0.190–66.959
[6]
0.395
[6] array · 7 items
[0]
T (T1 + T2 vs T3 + T4)
[1]
0.322
[2]
0.204–0.509
[3]
0.000
[4]
0.098
[5]
0.005–1.772
[6]
0.116
[7] array · 7 items
[0]
M (M0 vs M1)
[1]
0.255
[2]
0.080–0.813
[3]
0.021
[4]
0.411
[5]
0.118–1.435
[6]
0.163
[8] array · 7 items
[0]
N (N1 + N2 vs N3 + N4)
[1]
0.484
[2]
0.118–1.982
[3]
0.313
[4]
0.213
[5]
0.028–1.634
[6]
0.137
[9] array · 7 items
[0]
CENPN expression (low vs high)
[1]
0.593
[2]
0.368–0.955
[3]
0.032
[4]
0.608
[5]
0.372–0.995
[6]
0.048
locator
section[23]/table-wrap[1]#table-2
gaps array · 6 items
[0]
asset:data:geo:GSE112790 not downloaded
[1]
asset:data:geo:GSE112790 licence not read
[2]
asset:data:geo:GSE25097 not downloaded
[3]
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The following information was supplied regarding data availability: The main data are available at TCGA and NCBI-GEO (GSE87630, GSE112790 and GSE25097). The raw measurements are available in the Supplementary Files. https://portal.gdc.cancer.gov/.
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E, pRb, E2F1 and c-myc decreased after CENPN knockdown, but there was no significant change in tota
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33987018", "kind": "science-record", "revision": 7, "content_hash": "sha256:7ad8e9ffab9259ee252ac6631b17ae221a82af38199fc1611ff12e084c902c16", "created_at": "2026-11-01T15:41:35Z", "updated_at": "2026-11-01T22:03:45Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Centromere protein N may be a novel malignant prognostic biomarker for hepatocellular carcinoma.", "doi": "10.7717/peerj.11342", "pmid": "33987018", "authors": ["Qingqing Wang", "Xiaoyan Yu", "Zhewen Zheng", "Fengxia Chen", "Ningning Yang", "Yunfeng Zhou"], "journal": "PeerJ", "year": 2021, "abstract": "BACKGROUND: Hepatocellular carcinoma (HCC) is one of the deadliest tumors. The majority of HCC is detected in the late stage, and the clinical results for HCC patients are poor. There is an urgent need to discover early diagnostic biomarkers and potential therapeutic targets for HCC.\nMETHODS: The GSE87630 and GSE112790 datasets from the Gene Expression Omnibus (GEO) database were downloaded to analyze the differentially expressed genes (DEGs) between HCC and normal tissues. R packages were used for Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment analyses of the DEGs. A Search Tool for Retrieval of Interacting Genes (STRING) database was used to develop a protein-protein interaction (PPI) network, and also cytoHubba, Molecular Complex Detection (MCODE), EMBL-EBI, CCLE, Gene Expression Profiling Interactive Analysis (GEPIA), and Oncomine analyses were performed to identify hub genes. Gene expression was verified with a third GEO dataset, GSE25097. The Cancer Genome Atlas (TCGA) database was used to explore the correlations between the hub genes and clinical indexes of HCC patients. The functions of the hub genes were enriched by gene set enrichment analysis (GSEA), and the biological significance of the hub genes was explored by real-time polymerase chain reaction (qRT-PCR), western blot, immunofluorescence, CCK-8, colony formation, Transwell and flow cytometry assays with loss-of-function experiments in vitro.\nRESULTS: Centromere protein N (CENPN) was screened as a hub gene affecting HCC tumorigenesis. Evaluation by Cox regression showed that a high level of CENPN expression was an independent danger variable for poor prognosis of HCC. GSEA showed that high CENPN expression was linked to the following pathways: liver cancer subclass proliferation, cell cycle, p53 signaling pathway, Rb1 pathway, positive regulation of cell cycle G1/S phase transition, and DNA damage response signal transduction by p53 class moderators. Further cell experiments showed that knocking down CENPN expression decreased the proliferation and colony-forming abilities of HepG2 and Huh7 cells as well as Ki67 expression in these cell lines. The cell cycle was arrested in G1 phase, which is consistent with previous experiments on CENPN downregulation., but neither migration nor invasion were significantly affected. Western blot results revealed that the expression of p53, p27, p21, CDK4, cyclin D1, CDK2, cyclin E, pRb, E2F1 and c-myc decreased after CENPN knockdown, but there was no significant change in total Rb levels. In addition, CENPN-knockdown cells subjected to irradiation showed significantly enhanced of γ-H2AX expression and reduced colony formation.\nCONCLUSION: CENPN functions as an oncogene in HCC and may be a therapeutic target and promising prognostic marker for HCC.", "claims": [{"id": "claim-method", "statement": "The relationships between variables and patient survival were analyzed with Cox models, and the results were evaluated with SPSS 22.0 software (SPSS, Chicago, IL, United States). 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Cells were cultured in DMEM supplemented with 10% fetal bovine seru", "d cell transfection The human HCC cell lines HepG2 and Huh7 were purchased from Procell Life Sc"], "order_basis": "paper_text_order:2164", "id": "assay:5"}, {"role": "data_generation", "definition_id": "transfection", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["E, pRb, E2F1 and c-myc decreased after CENPN knockdown, but there was no significant change in tota", "hange in total Rb levels. In addition, CENPN-knockdown cells subjected to irradiation showed signif", "Ritchie et al., 2015). 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