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pmid:34335936

Low expression of CDHR1 is an independent unfavorable prognostic factor in glioma.

Haiwei Wang · Xinrui Wang · Liangpu Xu · Yingying Lin · Ji Zhang · Hua Cao

Journal of Cancer · 2021 doi:10.7150/jca.59948

Paper

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title
Low expression of CDHR1 is an independent unfavorable prognostic factor in glioma.
doi
10.7150/jca.59948
pmid
34335936
authors array · 6 items
[0]
Haiwei Wang
[1]
Xinrui Wang
[2]
Liangpu Xu
[3]
Yingying Lin
[4]
Ji Zhang
[5]
Hua Cao
journal
Journal of Cancer
year
2021
abstract
Background: Analysis of the differentially expressed genes between lower grade glioma (LGG) and glioblastoma (GBM) will identify genes involved in a more aggressive phenotype of glioma. Methods: Differentially expressed genes between GBM and LGG were identified using published datasets. Kaplan-Meier estimator was used to determine the overall survival of different groups of glioma patients. The biological functions of CDHR1 in glioma were tested using CCK-8 and trans-well assays. Results: CCDC109B, CD58, CLIC1, EFEMP2, EMP3, LAMC1, LGALS1, PDLIM1 and TNFRSF1A were over-expressed, while, CDHR1 was down-regulated in GBM in The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), GSE4412 and GSE43378 datasets. Compared with normal brain tissues, CDHR1 was down-regulated in glioma tissues. And low expression of CDHR1 was an unfavorable prognostic factor in glioma. Moreover, CDHR1 was lowly expressed in mesenchymal GBM subtype and lower expression of CDHR1 was associated with the worse clinical prognosis of GBM. Furthermore, CDHR1 was down-regulated in astrocytoma LGG subtype and low expression of CDHR1 was a bad prognosis of LGG. CDHR1 expression levels were also associated with IDH mutation. IDH mutant LGG or GBM patients were with higher CDHR1 expression. High expression of CDHR1 was a favorable prognosis in IDH mutant or IDH wild type LGG patients. CHDR1 expression was associated with MGMT methylation and CDHR1 was down-regulated in chemotherapy un-responsive LGG patients. CDHR1 was an independent prognostic factor and negatively associated with EMP3 expression. Glioma patients with low CDHR1 and high EMP3 expression had worse clinical outcomes. At last, we showed that over-expression of CDHR1 could inhibit glioma cell growth and invasion. Conclusion: Low expression of CDHR1 was an independent unfavorable prognostic factor in glioma.
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The differentially expressed genes between LGG and GBM patients were determined using two tails paired Student's t test in TCGA, CGGA, GSE4412 and GSE43378 datasets.
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The differentially expressed genes between LGG and GBM patients were determined using two tails paired Student's t test in TCGA, CGGA, GSE4412 and GSE43378 datasets.
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[283]
GSM405483
sample_count
284
group_sizes
null
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null
platform
8542
taxon
Homo sapiens
title
Intrinsic Gene Expression Profiles of Gliomas are a Better Predictor of Survival than Histology
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
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licence_read
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[3] object · 15 fields
id
data:geo:GSE43378
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The gene expression, DNA methylation along with the clinical datasets of TCGA GBMLGG was downloaded from https://tcga.xenahubs.net website.
structure object · 15 fields
repository
GEO
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GEO accession URL
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repository_route_statement
sample_accessions array · 50 items
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[49]
GSM1061710
sample_count
50
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null
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null
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570
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Homo sapiens
title
Expression data from glioma patients
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
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[4] object · 15 fields
id
data:geo:GSE4412
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null
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The gene expression, DNA methylation along with the clinical datasets of TCGA GBMLGG was downloaded from https://tcga.xenahubs.net website.
structure object · 15 fields
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GEO
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GEO accession URL
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The gene expression, DNA methylation along with the clinical datasets of TCGA GBMLGG was downloaded from https://tcga.xenahubs.net website.
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sample_accessions array · 170 items
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170
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null
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null
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96;97
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Homo sapiens
title
freij-affy-human-91666
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
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[5] object · 15 fields
id
data:geo:GSE44971
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raw
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geo-series
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null
note
The gene expression, DNA methylation along with the clinical datasets of TCGA GBMLGG was downloaded from https://tcga.xenahubs.net website.
structure object · 15 fields
repository
GEO
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GEO accession URL
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access_statement_kind
repository_route_statement
sample_accessions array · 58 items
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sample_count
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null
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570
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Homo sapiens
title
Gene expression data from pilocytic astrocytoma tumour samples and normal cerebellum controls
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
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[6] object · 15 fields
id
data:geo:GSE68848
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null
note
The gene expression, DNA methylation along with the clinical datasets of TCGA GBMLGG was downloaded from https://tcga.xenahubs.net website.
structure object · 15 fields
repository
GEO
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GEO accession URL
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repository_route_statement
sample_accessions array · 580 items
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[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
[7] object · 15 fields
id
data:geo:GSE74187
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=GSE74187
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE74187
version
null
note
The gene expression, DNA methylation along with the clinical datasets of TCGA GBMLGG was downloaded from https://tcga.xenahubs.net website.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The gene expression, DNA methylation along with the clinical datasets of TCGA GBMLGG was downloaded from https://tcga.xenahubs.net website.
access_statement_kind
repository_route_statement
sample_accessions array · 60 items
[0]
GSM1912920
[1]
GSM1912921
[2]
GSM1912922
[3]
GSM1912923
[4]
GSM1912924
[5]
GSM1912925
[6]
GSM1912926
[7]
GSM1912927
[8]
GSM1912928
[9]
GSM1912929
[10]
GSM1912930
[11]
GSM1912931
[12]
GSM1912932
[13]
GSM1912933
[14]
GSM1912934
[15]
GSM1912935
[16]
GSM1912936
[17]
GSM1912937
[18]
GSM1912938
[19]
GSM1912939
[20]
GSM1912940
[21]
GSM1912941
[22]
GSM1912942
[23]
GSM1912943
[24]
GSM1912944
[25]
GSM1912945
[26]
GSM1912946
[27]
GSM1912947
[28]
GSM1912948
[29]
GSM1912949
[30]
GSM1912950
[31]
GSM1912951
[32]
GSM1912952
[33]
GSM1912953
[34]
GSM1912954
[35]
GSM1912955
[36]
GSM1912956
[37]
GSM1912957
[38]
GSM1912958
[39]
GSM1912959
[40]
GSM1912960
[41]
GSM1912961
[42]
GSM1912962
[43]
GSM1912963
[44]
GSM1912964
[45]
GSM1912965
[46]
GSM1912966
[47]
GSM1912967
[48]
GSM1912968
[49]
GSM1912969
[50]
GSM1912970
[51]
GSM1912971
[52]
GSM1912972
[53]
GSM1912973
[54]
GSM1912974
[55]
GSM1912975
[56]
GSM1912976
[57]
GSM1912977
[58]
GSM1912978
[59]
GSM1912979
sample_count
60
group_sizes
null
group_sizes_basis
null
platform
6480
taxon
Homo sapiens
title
Sixty Glioblastoma Multiforme (GBM) samples obtained from surgical excision with OS and PFS
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[8] object · 15 fields
id
data:geo:GSE83300
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=GSE83300
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE83300
version
null
note
The gene expression, DNA methylation along with the clinical datasets of TCGA GBMLGG was downloaded from https://tcga.xenahubs.net website.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The gene expression, DNA methylation along with the clinical datasets of TCGA GBMLGG was downloaded from https://tcga.xenahubs.net website.
access_statement_kind
repository_route_statement
sample_accessions array · 50 items
[0]
GSM2198606
[1]
GSM2198607
[2]
GSM2198608
[3]
GSM2198609
[4]
GSM2198610
[5]
GSM2198611
[6]
GSM2198612
[7]
GSM2198613
[8]
GSM2198614
[9]
GSM2198615
[10]
GSM2198616
[11]
GSM2198617
[12]
GSM2198618
[13]
GSM2198619
[14]
GSM2198620
[15]
GSM2198621
[16]
GSM2198622
[17]
GSM2198623
[18]
GSM2198624
[19]
GSM2198625
[20]
GSM2198626
[21]
GSM2198627
[22]
GSM2198628
[23]
GSM2198629
[24]
GSM2198630
[25]
GSM2198631
[26]
GSM2198632
[27]
GSM2198633
[28]
GSM2198634
[29]
GSM2198635
[30]
GSM2198636
[31]
GSM2198637
[32]
GSM2198638
[33]
GSM2198639
[34]
GSM2198640
[35]
GSM2198641
[36]
GSM2198642
[37]
GSM2198643
[38]
GSM2198644
[39]
GSM2198645
[40]
GSM2198646
[41]
GSM2198647
[42]
GSM2198648
[43]
GSM2198649
[44]
GSM2198650
[45]
GSM2198651
[46]
GSM2198652
[47]
GSM2198653
[48]
GSM2198654
[49]
GSM2198655
sample_count
50
group_sizes
null
group_sizes_basis
null
platform
6480
taxon
Homo sapiens
title
Gene expression profiling of 50 glioblastoma multiforme tissue samples
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 16 items
[0]
asset:data:geo:GSE13041 not downloaded
[1]
asset:data:geo:GSE13041 licence not read
[2]
asset:data:geo:GSE16011 not downloaded
[3]
asset:data:geo:GSE16011 licence not read
[4]
asset:data:geo:GSE43378 not downloaded
[5]
asset:data:geo:GSE43378 licence not read
[6]
asset:data:geo:GSE4412 not downloaded
[7]
asset:data:geo:GSE4412 licence not read
[8]
asset:data:geo:GSE44971 not downloaded
[9]
asset:data:geo:GSE44971 licence not read
[10]
asset:data:geo:GSE68848 not downloaded
[11]
asset:data:geo:GSE68848 licence not read
[12]
asset:data:geo:GSE74187 not downloaded
[13]
asset:data:geo:GSE74187 licence not read
[14]
asset:data:geo:GSE83300 not downloaded
[15]
asset:data:geo:GSE83300 licence not read
analysis object · 4 fields
state
partial
methods array · 3 items
[0] object · 10 fields
id
method-1
family
group_comparison
specific
student_t_test
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
student_t
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
1
band
verbatim
quote
The differentially expressed genes between LGG and GBM patients were determined using two tails paired Student's t test in TCGA, CGGA, GSE4412 and GSE43378 datasets.
[1] object · 10 fields
id
method-2
family
survival_analysis
specific
kaplan_meier
label
Survival analysis
dsl_operations array · 1 item
[0]
survival_km
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.7
band
medium
quote
Kaplan-Meier
[2] object · 10 fields
id
method-3
family
diagnostic_evaluation
specific
roc
label
Diagnostic test evaluation
dsl_operations array · 6 items
[0]
confusion_counts
[1]
roc_curve
[2]
sensitivity_specificity
[3]
solve_confusion_matrix
[4]
classification_metrics
[5]
published_precision_envelope
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
reference_standard_and_test
evidence object · 3 fields
score
0.8
band
high
quote
ROC analysis
targets array · 0 items
gaps array · 1 item
[0]
method.student_t
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
false
required_operations array · 0 items
missing_operations array · 1 item
[0]
student_t
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: student_t_test.
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 · 8 items
[0]
GSE4412
[1]
GSE43378
[2]
GSE13041
[3]
GSE44971
[4]
GSE68848
[5]
GSE74187
[6]
GSE83300
[7]
GSE16011
resolved_accessions array · 8 items
[0]
GSE4412
[1]
GSE43378
[2]
GSE13041
[3]
GSE44971
[4]
GSE68848
[5]
GSE74187
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The gene expression, DNA methylation along with the clinical datasets of TCGA GBMLGG was downloaded from https://tcga.xenahubs.net website.
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nctions of CDHR1 in glioma were tested using CCK-8 and trans-well assays. Results: CCDC109B, CD
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The differentially expressed genes between LGG and GBM patients were determined using two tails paired Student's t test in TCGA, CGGA, GSE4412 and GSE43378 datasets.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34335936", "kind": "science-record", "revision": 8, "content_hash": "sha256:941dae675f0a78fcee5b55626945107613742f4a1347fd17d09754f5b8fc7194", "created_at": "2026-11-01T15:41:46Z", "updated_at": "2026-11-01T22:04:23Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Low expression of CDHR1 is an independent unfavorable prognostic factor in glioma.", "doi": "10.7150/jca.59948", "pmid": "34335936", "authors": ["Haiwei Wang", "Xinrui Wang", "Liangpu Xu", "Yingying Lin", "Ji Zhang", "Hua Cao"], "journal": "Journal of Cancer", "year": 2021, "abstract": "Background: Analysis of the differentially expressed genes between lower grade glioma (LGG) and glioblastoma (GBM) will identify genes involved in a more aggressive phenotype of glioma. Methods: Differentially expressed genes between GBM and LGG were identified using published datasets. Kaplan-Meier estimator was used to determine the overall survival of different groups of glioma patients. The biological functions of CDHR1 in glioma were tested using CCK-8 and trans-well assays. Results: CCDC109B, CD58, CLIC1, EFEMP2, EMP3, LAMC1, LGALS1, PDLIM1 and TNFRSF1A were over-expressed, while, CDHR1 was down-regulated in GBM in The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), GSE4412 and GSE43378 datasets. Compared with normal brain tissues, CDHR1 was down-regulated in glioma tissues. And low expression of CDHR1 was an unfavorable prognostic factor in glioma. Moreover, CDHR1 was lowly expressed in mesenchymal GBM subtype and lower expression of CDHR1 was associated with the worse clinical prognosis of GBM. Furthermore, CDHR1 was down-regulated in astrocytoma LGG subtype and low expression of CDHR1 was a bad prognosis of LGG. CDHR1 expression levels were also associated with IDH mutation. IDH mutant LGG or GBM patients were with higher CDHR1 expression. High expression of CDHR1 was a favorable prognosis in IDH mutant or IDH wild type LGG patients. CHDR1 expression was associated with MGMT methylation and CDHR1 was down-regulated in chemotherapy un-responsive LGG patients. CDHR1 was an independent prognostic factor and negatively associated with EMP3 expression. Glioma patients with low CDHR1 and high EMP3 expression had worse clinical outcomes. At last, we showed that over-expression of CDHR1 could inhibit glioma cell growth and invasion. Conclusion: Low expression of CDHR1 was an independent unfavorable prognostic factor in glioma.", "claims": [{"id": "claim-method", "statement": "The differentially expressed genes between LGG and GBM patients were determined using two tails paired Student's t test in TCGA, CGGA, GSE4412 and GSE43378 datasets.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34335936", "locator": "sections[4] \"Identification of the differentially expressed genes between GBM and LGG\" paragraph 2", "quote": "The differentially expressed genes between LGG and GBM patients were determined using two tails paired Student's t test in TCGA, CGGA, GSE4412 and GSE43378 datasets."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The gene expression, DNA methylation along with the clinical datasets of TCGA GBMLGG was downloaded from https://tcga.xenahubs.net website.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34335936", "locator": "sections[3] \"Data collection\" paragraph 2", "quote": "The gene expression, DNA methylation along with the clinical datasets of TCGA GBMLGG was downloaded from https://tcga.xenahubs.net website."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:34335936"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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