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pmid:32696617

Gene regulation network analysis reveals core genes associated with survival in glioblastoma multiforme.

Lan Jiang · Min Zhong · Tianbing Chen · Xiaolong Zhu · Hui Yang · Kun Lv

Journal of cellular and molecular medicine · 2020 doi:10.1111/jcmm.15615

Paper

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Experiment

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Data

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Analysis

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Execution

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title
Gene regulation network analysis reveals core genes associated with survival in glioblastoma multiforme.
doi
10.1111/jcmm.15615
pmid
32696617
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Lan Jiang
[1]
Min Zhong
[2]
Tianbing Chen
[3]
Xiaolong Zhu
[4]
Hui Yang
[5]
Kun Lv
journal
Journal of cellular and molecular medicine
year
2020
abstract
Glioblastoma multiforme (GBM) is a very serious mortality of central nervous system cancer. The microarray data from GSE2223, GSE4058, GSE4290, GSE13276, GSE68848 and GSE70231 (389 GBM tumour and 67 normal tissues) and the RNA-seq data from TCGA-GBM dataset (169 GBM and five normal samples) were chosen to find differentially expressed genes (DEGs). RRA (Robust rank aggregation) method was used to integrate seven datasets and calculate 133 DEGs (82 up-regulated and 51 down-regulated genes). Subsequently, through the PPI (protein-protein interaction) network and MCODE/ cytoHubba methods, we finally filtered out ten hub genes, including FOXM1, CDK4, TOP2A, RRM2, MYBL2, MCM2, CDC20, CCNB2, MYC and EZH2, from the whole network. Functional enrichment analyses of DEGs were conducted to show that these hub genes were enriched in various cancer-related functions and pathways significantly. We also selected CCNB2, CDC20 and MYBL2 as core biomarkers, and further validated them in CGGA, HPA and CCLE database, suggesting that these three core hub genes may be involved in the origin of GBM. All these potential biomarkers for GBM might be helpful for illustrating the important role of molecular mechanisms of tumorigenesis in the diagnosis, prognosis and targeted therapy of GBM cancer.
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Candidate genes for the recurrence of glioblastoma multiforme identified by microarray
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[84]
GSM1683599
[85]
GSM1683600
[86]
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GSM1683602
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[93]
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[94]
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[95]
GSM1683610
[96]
GSM1683611
[97]
GSM1683612
[98]
GSM1683613
[99]
GSM1683614
[100]
GSM1683615
[101]
GSM1683616
[102]
GSM1683617
[103]
GSM1683618
[104]
GSM1683619
[105]
GSM1683620
[106]
GSM1683621
[107]
GSM1683622
[108]
GSM1683623
[109]
GSM1683624
[110]
GSM1683625
[111]
GSM1683626
[112]
GSM1683627
[113]
GSM1683628
[114]
GSM1683629
[115]
GSM1683630
[116]
GSM1683631
[117]
GSM1683632
[118]
GSM1683633
[119]
GSM1683634
[120]
GSM1683635
[121]
GSM1683636
[122]
GSM1683637
[123]
GSM1683638
[124]
GSM1683639
[125]
GSM1683640
[126]
GSM1683641
[127]
GSM1683642
[128]
GSM1683643
[129]
GSM1683644
[130]
GSM1683645
[131]
GSM1683646
[132]
GSM1683647
[133]
GSM1683648
[134]
GSM1683649
[135]
GSM1683650
[136]
GSM1683651
[137]
GSM1683652
[138]
GSM1683653
[139]
GSM1683654
[140]
GSM1683655
[141]
GSM1683656
[142]
GSM1683657
[143]
GSM1683658
[144]
GSM1683659
[145]
GSM1683660
[146]
GSM1683661
[147]
GSM1683662
[148]
GSM1683663
[149]
GSM1683664
[150]
GSM1683665
[151]
GSM1683666
[152]
GSM1683667
[153]
GSM1683668
[154]
GSM1683669
[155]
GSM1683670
[156]
GSM1683671
[157]
GSM1683672
[158]
GSM1683673
[159]
GSM1683674
[160]
GSM1683675
[161]
GSM1683676
[162]
GSM1683677
[163]
GSM1683678
[164]
GSM1683679
[165]
GSM1683680
[166]
GSM1683681
[167]
GSM1683682
[168]
GSM1683683
[169]
GSM1683684
[170]
GSM1683685
[171]
GSM1683686
[172]
GSM1683687
[173]
GSM1683688
[174]
GSM1683689
[175]
GSM1683690
[176]
GSM1683691
[177]
GSM1683692
[178]
GSM1683693
[179]
GSM1683694
[180]
GSM1683695
[181]
GSM1683696
[182]
GSM1683697
[183]
GSM1683698
[184]
GSM1683699
[185]
GSM1683700
[186]
GSM1683701
[187]
GSM1683702
[188]
GSM1683703
[189]
GSM1683704
[190]
GSM1683705
[191]
GSM1683706
[192]
GSM1683707
[193]
GSM1683708
[194]
GSM1683709
[195]
GSM1683710
[196]
GSM1683711
[197]
GSM1683712
[198]
GSM1683713
[199]
GSM1683714
[200]
GSM1683715
[201]
GSM1683716
[202]
GSM1683717
[203]
GSM1683718
[204]
GSM1683719
[205]
GSM1683720
[206]
GSM1683721
[207]
GSM1683722
[208]
GSM1683723
[209]
GSM1683724
[210]
GSM1683725
[211]
GSM1683726
[212]
GSM1683727
[213]
GSM1683728
[214]
GSM1683729
[215]
GSM1683730
[216]
GSM1683731
[217]
GSM1683732
[218]
GSM1683733
[219]
GSM1683734
[220]
GSM1683735
[221]
GSM1683736
[222]
GSM1683737
[223]
GSM1683738
[224]
GSM1683739
[225]
GSM1683740
[226]
GSM1683741
[227]
GSM1683742
[228]
GSM1683743
[229]
GSM1683744
[230]
GSM1683745
[231]
GSM1683746
[232]
GSM1683747
[233]
GSM1683748
[234]
GSM1683749
[235]
GSM1683750
[236]
GSM1683751
[237]
GSM1683752
[238]
GSM1683753
[239]
GSM1683754
[240]
GSM1683755
[241]
GSM1683756
[242]
GSM1683757
[243]
GSM1683758
[244]
GSM1683759
[245]
GSM1683760
[246]
GSM1683761
[247]
GSM1683762
[248]
GSM1683763
[249]
GSM1683764
[250]
GSM1683765
[251]
GSM1683766
[252]
GSM1683767
[253]
GSM1683768
[254]
GSM1683769
[255]
GSM1683770
[256]
GSM1683771
[257]
GSM1683772
[258]
GSM1683773
[259]
GSM1683774
[260]
GSM1683775
[261]
GSM1683776
[262]
GSM1683777
[263]
GSM1683778
[264]
GSM1683779
[265]
GSM1683780
[266]
GSM1683781
[267]
GSM1683782
[268]
GSM1683783
[269]
GSM1683784
[270]
GSM1683785
[271]
GSM1683786
[272]
GSM1683787
[273]
GSM1683788
[274]
GSM1683789
[275]
GSM1683790
[276]
GSM1683791
[277]
GSM1683792
[278]
GSM1683793
[279]
GSM1683794
[280]
GSM1683795
[281]
GSM1683796
[282]
GSM1683797
[283]
GSM1683798
[284]
GSM1683799
[285]
GSM1683800
[286]
GSM1683801
[287]
GSM1683802
[288]
GSM1683803
[289]
GSM1683804
[290]
GSM1683805
[291]
GSM1683806
[292]
GSM1683807
[293]
GSM1683808
[294]
GSM1683809
[295]
GSM1683810
[296]
GSM1683811
[297]
GSM1683812
[298]
GSM1683813
[299]
GSM1683814
[300]
GSM1683815
[301]
GSM1683816
[302]
GSM1683817
[303]
GSM1683818
[304]
GSM1683819
[305]
GSM1683820
[306]
GSM1683821
[307]
GSM1683822
[308]
GSM1683823
[309]
GSM1683824
[310]
GSM1683825
[311]
GSM1683826
[312]
GSM1683827
[313]
GSM1683828
[314]
GSM1683829
[315]
GSM1683830
[316]
GSM1683831
[317]
GSM1683832
[318]
GSM1683833
[319]
GSM1683834
[320]
GSM1683835
[321]
GSM1683836
[322]
GSM1683837
[323]
GSM1683838
[324]
GSM1683839
[325]
GSM1683840
[326]
GSM1683841
[327]
GSM1683842
[328]
GSM1683843
[329]
GSM1683844
[330]
GSM1683845
[331]
GSM1683846
[332]
GSM1683847
[333]
GSM1683848
[334]
GSM1683849
[335]
GSM1683850
[336]
GSM1683851
[337]
GSM1683852
[338]
GSM1683853
[339]
GSM1683854
[340]
GSM1683855
[341]
GSM1683856
[342]
GSM1683857
[343]
GSM1683858
[344]
GSM1683859
[345]
GSM1683860
[346]
GSM1683861
[347]
GSM1683862
[348]
GSM1683863
[349]
GSM1683864
[350]
GSM1683865
[351]
GSM1683866
[352]
GSM1683867
[353]
GSM1683868
[354]
GSM1683869
[355]
GSM1683870
[356]
GSM1683871
[357]
GSM1683872
[358]
GSM1683873
[359]
GSM1683874
[360]
GSM1683875
[361]
GSM1683876
[362]
GSM1683877
[363]
GSM1683878
[364]
GSM1683879
[365]
GSM1683880
[366]
GSM1683881
[367]
GSM1683882
[368]
GSM1683883
[369]
GSM1683884
[370]
GSM1683885
[371]
GSM1683886
[372]
GSM1683887
[373]
GSM1683888
[374]
GSM1683889
[375]
GSM1683890
[376]
GSM1683891
[377]
GSM1683892
[378]
GSM1683893
[379]
GSM1683894
[380]
GSM1683895
[381]
GSM1683896
[382]
GSM1683897
[383]
GSM1683898
[384]
GSM1683899
[385]
GSM1683900
[386]
GSM1683901
[387]
GSM1683902
[388]
GSM1683903
[389]
GSM1683904
[390]
GSM1683905
[391]
GSM1683906
[392]
GSM1683907
[393]
GSM1683908
[394]
GSM1683909
[395]
GSM1683910
[396]
GSM1683911
[397]
GSM1683912
[398]
GSM1683913
[399]
GSM1683914
[400]
GSM1683915
[401]
GSM1683916
[402]
GSM1683917
[403]
GSM1683918
[404]
GSM1683919
[405]
GSM1683920
[406]
GSM1683921
[407]
GSM1683922
[408]
GSM1683923
[409]
GSM1683924
[410]
GSM1683925
[411]
GSM1683926
[412]
GSM1683927
[413]
GSM1683928
[414]
GSM1683929
[415]
GSM1683930
[416]
GSM1683931
[417]
GSM1683932
[418]
GSM1683933
[419]
GSM1683934
[420]
GSM1683935
[421]
GSM1683936
[422]
GSM1683937
[423]
GSM1683938
[424]
GSM1683939
[425]
GSM1683940
[426]
GSM1683941
[427]
GSM1683942
[428]
GSM1683943
[429]
GSM1683944
[430]
GSM1683945
[431]
GSM1683946
[432]
GSM1683947
[433]
GSM1683948
[434]
GSM1683949
[435]
GSM1683950
[436]
GSM1683951
[437]
GSM1683952
[438]
GSM1683953
[439]
GSM1683954
[440]
GSM1683955
[441]
GSM1683956
[442]
GSM1683957
[443]
GSM1683958
[444]
GSM1683959
[445]
GSM1683960
[446]
GSM1683961
[447]
GSM1683962
[448]
GSM1683963
[449]
GSM1683964
[450]
GSM1683965
[451]
GSM1683966
[452]
GSM1683967
[453]
GSM1683968
[454]
GSM1683969
[455]
GSM1683970
[456]
GSM1683971
[457]
GSM1683972
[458]
GSM1683973
[459]
GSM1683974
[460]
GSM1683975
[461]
GSM1683976
[462]
GSM1683977
[463]
GSM1683978
[464]
GSM1683979
[465]
GSM1683980
[466]
GSM1683981
[467]
GSM1683982
[468]
GSM1683983
[469]
GSM1683984
[470]
GSM1683985
[471]
GSM1683986
[472]
GSM1683987
[473]
GSM1683988
[474]
GSM1683989
[475]
GSM1683990
[476]
GSM1683991
[477]
GSM1683992
[478]
GSM1683993
[479]
GSM1683994
[480]
GSM1683995
[481]
GSM1683996
[482]
GSM1683997
[483]
GSM1683998
[484]
GSM1683999
[485]
GSM1684000
[486]
GSM1684001
[487]
GSM1684002
[488]
GSM1684003
[489]
GSM1684004
[490]
GSM1684005
[491]
GSM1684006
[492]
GSM1684007
[493]
GSM1684008
[494]
GSM1684009
[495]
GSM1684010
[496]
GSM1684011
[497]
GSM1684012
[498]
GSM1684013
[499]
GSM1684014
[500]
GSM1684015
[501]
GSM1684016
[502]
GSM1684017
[503]
GSM1684018
[504]
GSM1684019
[505]
GSM1684020
[506]
GSM1684021
[507]
GSM1684022
[508]
GSM1684023
[509]
GSM1684024
[510]
GSM1684025
[511]
GSM1684026
[512]
GSM1684027
[513]
GSM1684028
[514]
GSM1684029
[515]
GSM1684030
[516]
GSM1684031
[517]
GSM1684032
[518]
GSM1684033
[519]
GSM1684034
[520]
GSM1684035
[521]
GSM1684036
[522]
GSM1684037
[523]
GSM1684038
[524]
GSM1684039
[525]
GSM1684040
[526]
GSM1684041
[527]
GSM1684042
[528]
GSM1684043
[529]
GSM1684044
[530]
GSM1684045
[531]
GSM1684046
[532]
GSM1684047
[533]
GSM1684048
[534]
GSM1684049
[535]
GSM1684050
[536]
GSM1684051
[537]
GSM1684052
[538]
GSM1684053
[539]
GSM1684054
[540]
GSM1684055
[541]
GSM1684056
[542]
GSM1684057
[543]
GSM1684058
[544]
GSM1684059
[545]
GSM1684060
[546]
GSM1684061
[547]
GSM1684062
[548]
GSM1684063
[549]
GSM1684064
[550]
GSM1684065
[551]
GSM1684066
[552]
GSM1684067
[553]
GSM1684068
[554]
GSM1684069
[555]
GSM1684070
[556]
GSM1684071
[557]
GSM1684072
[558]
GSM1684073
[559]
GSM1684074
[560]
GSM1684075
[561]
GSM1684076
[562]
GSM1684077
[563]
GSM1684078
[564]
GSM1684079
[565]
GSM1684080
[566]
GSM1684081
[567]
GSM1684082
[568]
GSM1684083
[569]
GSM1684084
[570]
GSM1684085
[571]
GSM1684086
[572]
GSM1684087
[573]
GSM1684088
[574]
GSM1684089
[575]
GSM1684090
[576]
GSM1684091
[577]
GSM1684092
[578]
GSM1684093
[579]
GSM1684094
sample_count
580
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
caArray_fine-00037: Rembrandt_GeneExpression
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[6] object · 15 fields
id
data:geo:GSE70231
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=GSE70231
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE70231
version
null
note
The microarray data of human tissue from GSE2223, GSE4058, GSE4290, GSE13276, GSE68848 and GSE70231 were downloaded from the Gene Expression Omnibus (GEO) database. TCGA‐GBM database.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The microarray data of human tissue from GSE2223, GSE4058, GSE4290, GSE13276, GSE68848 and GSE70231 were downloaded from the Gene Expression Omnibus (GEO) database. TCGA‐GBM database.
access_statement_kind
data_availability_statement
sample_accessions array · 51 items
[0]
GSM1721044
[1]
GSM1721045
[2]
GSM1721046
[3]
GSM1721047
[4]
GSM1721048
[5]
GSM1721049
[6]
GSM1721050
[7]
GSM1721051
[8]
GSM1721052
[9]
GSM1721053
[10]
GSM1721054
[11]
GSM1721055
[12]
GSM1721056
[13]
GSM1721057
[14]
GSM1721058
[15]
GSM1721059
[16]
GSM1721060
[17]
GSM1721061
[18]
GSM1721062
[19]
GSM1721063
[20]
GSM1721064
[21]
GSM1721065
[22]
GSM1721066
[23]
GSM1721067
[24]
GSM1721068
[25]
GSM1721069
[26]
GSM1721070
[27]
GSM1721071
[28]
GSM1721072
[29]
GSM1721073
[30]
GSM1721074
[31]
GSM1721075
[32]
GSM1721076
[33]
GSM1721077
[34]
GSM1721078
[35]
GSM1721079
[36]
GSM1721080
[37]
GSM1721081
[38]
GSM1721082
[39]
GSM1721083
[40]
GSM1721084
[41]
GSM1721085
[42]
GSM1721086
[43]
GSM1721087
[44]
GSM1721088
[45]
GSM1721089
[46]
GSM1721090
[47]
GSM1721091
[48]
GSM1721092
[49]
GSM1721093
[50]
GSM1721094
sample_count
51
group_sizes
null
group_sizes_basis
null
platform
80
taxon
Homo sapiens
title
caArray_hanas-00078: Distinctive molecular profiles of high-grade and low-grade gliomas based on oligonucleotide microarray analysis
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[7] object · 16 fields
id
asset:table:pmid:32696617:1
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:1ec83c0979beaf68169a34a7232c9c113ae76b4c9dacd0be3d38c88120aea4ce
bytes
457
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[7]/table-wrap[1]#jcmm15615-tbl-0001
version
null
note
The selected samples for this current study
structure object · 5 fields
pmcid
PMC7520335
section_index
7
section_title
The overall collection of datasets and identification of DEGs
row_count
8
column_count
4
table object · 8 fields
label
Table 1
caption
The selected samples for this current study
rows array · 8 items
[0] array · 4 items
[0]
GEO accessions
[1]
GBM number
[2]
Normal number
[3]
Reference
[1] array · 4 items
[0]
GSE2223
[1]
29
[2]
4
[3]
15
[2] array · 4 items
[0]
GSE4058
[1]
29
[2]
3
[3]
16
[3] array · 4 items
[0]
GSE4290
[1]
77
[2]
23
[3]
17
[4] array · 4 items
[0]
GSE13276
[1]
5
[2]
3
[3]
18
[5] array · 4 items
[0]
GSE68848
[1]
228
[2]
28
[3]
19
[6] array · 4 items
[0]
GSE70231
[1]
21
[2]
6
[3]
20
[7] array · 4 items
[0]
TCGA‐GBM
[1]
169
[2]
5
[3]
25
locator
section[7]/table-wrap[1]#jcmm15615-tbl-0001
gaps array · 12 items
[0]
asset:data:geo:GSE13276 not downloaded
[1]
asset:data:geo:GSE13276 licence not read
[2]
asset:data:geo:GSE2223 not downloaded
[3]
asset:data:geo:GSE2223 licence not read
[4]
asset:data:geo:GSE4058 not downloaded
[5]
asset:data:geo:GSE4058 licence not read
[6]
asset:data:geo:GSE4290 not downloaded
[7]
asset:data:geo:GSE4290 licence not read
[8]
asset:data:geo:GSE68848 not downloaded
[9]
asset:data:geo:GSE68848 licence not read
[10]
asset:data:geo:GSE70231 not downloaded
[11]
asset:data:geo:GSE70231 licence not read
analysis object · 4 fields
state
complete
methods array · 4 items
[0] object · 10 fields
id
method-1
family
differential_expression
specific
deseq2
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 1 field
fold_change
22 and edgeR method 23 (fold change > 2 and adjusted P‐valu
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
0.8
band
high
quote
Deseq2
[1] object · 10 fields
id
method-2
family
differential_expression
specific
edger
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 1 field
fold_change
22 and edgeR method 23 (fold change > 2 and adjusted P‐valu
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
0.8
band
high
quote
edgeR
[2] object · 10 fields
id
method-3
family
differential_expression
specific
limma_voom
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 1 field
fold_change
22 and edgeR method 23 (fold change > 2 and adjusted P‐valu
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
0.8
band
high
quote
Limma
[3] object · 10 fields
id
method-4
family
network_analysis
specific
ppi_network
label
Network / pathway analysis
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
PPI
targets array · 0 items
gaps array · 0 items
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: deseq2.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 6 items
[0]
GSE2223
[1]
GSE4058
[2]
GSE4290
[3]
GSE13276
[4]
GSE68848
[5]
GSE70231
resolved_accessions array · 6 items
[0]
GSE2223
[1]
GSE4058
[2]
GSE4290
[3]
GSE13276
[4]
GSE68848
[5]
GSE70231
statements array · 1 item
[0]
The microarray data of human tissue from GSE2223, GSE4058, GSE4290, GSE13276, GSE68848 and GSE70231 were downloaded from the Gene Expression Omnibus (GEO) database. TCGA‐GBM database.
basis
The paper names GSE2223, GSE4058, GSE4290, GSE13276, GSE68848, GSE70231 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
assets array · 3 items
[0]
source:pmid:32696617
[1]
data:geo:GSE13276
[2]
asset:table:pmid:32696617:1
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE13276
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-10-31T19:06:35Z
independence
single_reader
evidence_check object · 2 fields
method
null
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
33678
completion_tokens
3434
cached_tokens
11392
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:32696617
type
paper
label
pmid:32696617
[1] object · 3 fields
id
source:pmid:32696617
type
manuscript
label
PMID 32696617 full text
[2] object · 3 fields
id
data:geo:GSE13276
type
dataset
label
GEO GSE13276
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:32696617
type
paper
label
pmid:32696617
[1] object · 3 fields
id
source:pmid:32696617
type
manuscript
label
PMID 32696617 full text
[2] object · 3 fields
id
data:geo:GSE13276
type
dataset
label
GEO GSE13276
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-32696617
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extraction
used array · 1 item
[0]
source:pmid:32696617
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE13276
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE13276
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:32696617
parent_hash
sha256:90584816c84ac10f62f1d069f7f96934e4db99890ddcb5d232f2d1735c324a68
fork_of
null
gaps array · 16 items
[0]
asset:data:geo:GSE13276 licence not read
[1]
asset:data:geo:GSE13276 not downloaded
[2]
asset:data:geo:GSE2223 licence not read
[3]
asset:data:geo:GSE2223 not downloaded
[4]
asset:data:geo:GSE4058 licence not read
[5]
asset:data:geo:GSE4058 not downloaded
[6]
asset:data:geo:GSE4290 licence not read
[7]
asset:data:geo:GSE4290 not downloaded
[8]
asset:data:geo:GSE68848 licence not read
[9]
asset:data:geo:GSE68848 not downloaded
[10]
asset:data:geo:GSE70231 licence not read
[11]
asset:data:geo:GSE70231 not downloaded
[12]
execution.not_run
[13]
review.human_critique
[14]
review.independent_reader
[15]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_id
microarray
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
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0.99
evidence array · 2 items
[0]
tality of central nervous system cancer. The microarray data from GSE2223, GSE4058, GSE4290, GSE1327
[1]
Data preparation and RRA method analyses The microarray data of human tissue from GSE2223, 15 GSE405
order_basis
paper_text_order:156
id
assay:1
[1] object · 11 fields
role
analysis
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differential_expression
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f2132e96ae6c7a4e
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normalise_counts
[1]
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[2]
fdr_bh
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supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
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Deseq2
order_basis
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Complete file
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The microarray data from GSE2223, GSE4058, GSE4290, GSE13276, GSE68848 and GSE70231 (389 GBM tumour and 67 normal tissues) and the RNA-seq data from TCGA-GBM dataset (169 GBM and five normal samples) were chosen to find differentially expressed genes (DEGs). RRA (Robust rank aggregation) method was used to integrate seven datasets and calculate 133 DEGs (82 up-regulated and 51 down-regulated genes). Subsequently, through the PPI (protein-protein interaction) network and MCODE/ cytoHubba methods, we finally filtered out ten hub genes, including FOXM1, CDK4, TOP2A, RRM2, MYBL2, MCM2, CDC20, CCNB2, MYC and EZH2, from the whole network. Functional enrichment analyses of DEGs were conducted to show that these hub genes were enriched in various cancer-related functions and pathways significantly. We also selected CCNB2, CDC20 and MYBL2 as core biomarkers, and further validated them in CGGA, HPA and CCLE database, suggesting that these three core hub genes may be involved in the origin of GBM. 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"The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: deseq2."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. 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No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "assets": ["source:pmid:32696617", "data:geo:GSE13276", "asset:table:pmid:32696617:1"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE13276"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T19:06:35Z", "independence": "single_reader"}, "evidence_check": {"method": null, "availability": "verbatim"}, "calls": 3, "usage": {"prompt_tokens": 33678, "completion_tokens": 3434, "cached_tokens": 11392}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:32696617", "type": "paper", "label": "pmid:32696617"}, {"id": "source:pmid:32696617", "type": "manuscript", "label": "PMID 32696617 full text"}, {"id": "data:geo:GSE13276", "type": "dataset", "label": "GEO GSE13276"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:32696617", "type": "paper", "label": "pmid:32696617"}, {"id": "source:pmid:32696617", "type": "manuscript", "label": "PMID 32696617 full text"}, {"id": "data:geo:GSE13276", "type": "dataset", "label": "GEO GSE13276"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-32696617", "type": "extraction", "used": ["source:pmid:32696617"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE13276", "type": "accession_resolution", "used": ["data:geo:GSE13276"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:32696617", "parent_hash": "sha256:90584816c84ac10f62f1d069f7f96934e4db99890ddcb5d232f2d1735c324a68", "fork_of": null, "generation": 6}, "gaps": ["asset:data:geo:GSE13276 licence not read", "asset:data:geo:GSE13276 not downloaded", "asset:data:geo:GSE2223 licence not read", "asset:data:geo:GSE2223 not downloaded", "asset:data:geo:GSE4058 licence not read", "asset:data:geo:GSE4058 not downloaded", "asset:data:geo:GSE4290 licence not read", "asset:data:geo:GSE4290 not downloaded", "asset:data:geo:GSE68848 licence not read", "asset:data:geo:GSE68848 not downloaded", "asset:data:geo:GSE70231 licence not read", "asset:data:geo:GSE70231 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "microarray", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["tality of central nervous system cancer. The microarray data from GSE2223, GSE4058, GSE4290, GSE1327", "Data preparation and RRA method analyses The microarray data of human tissue from GSE2223, 15 GSE405"], "order_basis": "paper_text_order:156", "id": "assay:1"}, {"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 0.8, "evidence": ["Deseq2"], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}