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pmid:36311801

Significance of macrophage infiltration in the prognosis of lung adenocarcinoma patients evaluated by scRNA and bulkRNA analysis.

Huaiyang Zhu · Chunning Zheng · Hongtao Liu · Fanhua Kong · Shuai Kong · Feng Chen · Yuan Tian

Frontiers in immunology · 2022 doi:10.3389/fimmu.2022.1028440

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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title
Significance of macrophage infiltration in the prognosis of lung adenocarcinoma patients evaluated by scRNA and bulkRNA analysis.
doi
10.3389/fimmu.2022.1028440
pmid
36311801
authors array · 7 items
[0]
Huaiyang Zhu
[1]
Chunning Zheng
[2]
Hongtao Liu
[3]
Fanhua Kong
[4]
Shuai Kong
[5]
Feng Chen
[6]
Yuan Tian
journal
Frontiers in immunology
year
2022
abstract
Purpose: To investigate the significance of macrophage infiltration to the prognosis of lung adenocarcinoma. Methods: R language bioinformatics analysis technology, was used to obtain macrophage infiltration-related module genes through WGCNA (Weighted Gene Co-Expression Network Analysis). Marker genes of macrophage subtypes were identified using single-cell sequencing of lung adenocarcinoma tissue. Risk score models were constructed and validated using external data cohorts and clinical samples. Results: Analysis of cohorts TCGA-LUAD, GSE11969, GSE31210, GSE50081, GSE72094 and GSE8894, revealed a negative correlation between macrophage infiltration and survival. Immunohistochemical analyses of clinical samples were consistent with these data. Based on cell-cluster-markers and TAMs-related-genes, TOP8 genes were obtained (C1QTNF6, CCNB1, FSCN1, HMMR, KPNA2, PRC1, RRM2, and TK1) with a significant association to prognosis. Risk score models including 9 factors (C1QTNF6, FSCN1, KPNA2, GLI2, TYMS, BIRC3, RBBP7, KRT8, GPR65) for prognosis were constructed. The efficacy, stability and generalizability of the risk score models were validated using multiple data cohorts (GSE19188, GSE26939, GSE31210, GSE50081, GSE42127, and GSE72094). Conclusions: Macrophage infiltration negatively correlates with prognosis in patients with lung adenocarcinoma. Based on cell-cluster-markers and TAMs-related-genes, both TOP8 genes (C1QTNF6, CCNB1, FSCN1, HMMR, KPNA2, PRC1, RRM2, TK1) and risk score models using C1QTNF6, FSCN1, KPNA2, GLI2, TYMS, BIRC3, RBBP7, KRT8, GPR65 could predict disease prognosis.
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CIBERSORT was used to evaluate the levels of immune-infiltration from different lung adenocarcinoma datasets (TCGA-LUAD, GSE11969, GSE31210, GSE50081, GSE72094, and GSE8894).
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sections[16] "3.1 Proportion of immune infiltrating cells and the prognostic efficacy of macrophages" paragraph 2
quote
CIBERSORT was used to evaluate the levels of immune-infiltration from different lung adenocarcinoma datasets (TCGA-LUAD, GSE11969, GSE31210, GSE50081, GSE72094, and GSE8894).
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The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material .
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sections[34] "Data availability statement" paragraph 2
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The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material .
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Macrophage infiltration negatively correlates with prognosis in patients with lung adenocarcinoma.
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Macrophage infiltration negatively correlates with prognosis in patients with lung adenocarcinoma.
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Macrophage infiltration negatively correlates with prognosis in patients with lung adenocarcinoma.
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Expression Profile-Defined Classification of Lung Adenocarcinoma
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Single cell RNA sequencing of lung adenocarcinoma
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GSM475692
[37]
GSM475693
[38]
GSM475694
[39]
GSM475695
[40]
GSM475696
[41]
GSM475697
[42]
GSM475698
[43]
GSM475699
[44]
GSM475700
[45]
GSM475701
[46]
GSM475702
[47]
GSM475703
[48]
GSM475704
[49]
GSM475705
[50]
GSM475706
[51]
GSM475707
[52]
GSM475708
[53]
GSM475709
[54]
GSM475710
[55]
GSM475711
[56]
GSM475712
[57]
GSM475713
[58]
GSM475714
[59]
GSM475715
[60]
GSM475716
[61]
GSM475717
[62]
GSM475718
[63]
GSM475719
[64]
GSM475720
[65]
GSM475721
[66]
GSM475722
[67]
GSM475723
[68]
GSM475724
[69]
GSM475725
[70]
GSM475726
[71]
GSM475727
[72]
GSM475728
[73]
GSM475729
[74]
GSM475730
[75]
GSM475731
[76]
GSM475732
[77]
GSM475733
[78]
GSM475734
[79]
GSM475735
[80]
GSM475736
[81]
GSM475737
[82]
GSM475738
[83]
GSM475739
[84]
GSM475740
[85]
GSM475741
[86]
GSM475742
[87]
GSM475743
[88]
GSM475744
[89]
GSM475745
[90]
GSM475746
[91]
GSM475747
[92]
GSM475748
[93]
GSM475749
[94]
GSM475750
[95]
GSM475751
[96]
GSM475752
[97]
GSM475753
[98]
GSM475754
[99]
GSM475755
[100]
GSM475756
[101]
GSM475757
[102]
GSM475758
[103]
GSM475759
[104]
GSM475760
[105]
GSM475761
[106]
GSM475762
[107]
GSM475763
[108]
GSM475764
[109]
GSM475765
[110]
GSM475766
[111]
GSM475767
[112]
GSM475768
[113]
GSM475769
[114]
GSM475770
[115]
GSM475771
[116]
GSM475772
[117]
GSM475773
[118]
GSM475774
[119]
GSM475775
[120]
GSM475776
[121]
GSM475777
[122]
GSM475778
[123]
GSM475779
[124]
GSM475780
[125]
GSM475781
[126]
GSM475782
[127]
GSM475783
[128]
GSM475784
[129]
GSM475785
[130]
GSM475786
[131]
GSM475787
[132]
GSM475788
[133]
GSM475789
[134]
GSM475790
[135]
GSM475791
[136]
GSM475792
[137]
GSM475793
[138]
GSM475794
[139]
GSM475795
[140]
GSM475796
[141]
GSM475797
[142]
GSM475798
[143]
GSM475799
[144]
GSM475800
[145]
GSM475801
[146]
GSM475802
[147]
GSM475803
[148]
GSM475804
[149]
GSM475805
[150]
GSM475806
[151]
GSM475807
[152]
GSM475808
[153]
GSM475809
[154]
GSM475810
[155]
GSM475811
sample_count
156
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Expression data for early stage NSCLC
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[5] object · 15 fields
id
data:geo:GSE26939
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=GSE26939
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE26939
version
null
note
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material .
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material .
access_statement_kind
data_availability_statement
sample_accessions array · 116 items
[0]
GSM663284
[1]
GSM663285
[2]
GSM663286
[3]
GSM663287
[4]
GSM663288
[5]
GSM663289
[6]
GSM663290
[7]
GSM663291
[8]
GSM663292
[9]
GSM663293
[10]
GSM663294
[11]
GSM663295
[12]
GSM663296
[13]
GSM663297
[14]
GSM663298
[15]
GSM663299
[16]
GSM663300
[17]
GSM663301
[18]
GSM663302
[19]
GSM663303
[20]
GSM663304
[21]
GSM663305
[22]
GSM663306
[23]
GSM663307
[24]
GSM663308
[25]
GSM663309
[26]
GSM663310
[27]
GSM663311
[28]
GSM663312
[29]
GSM663313
[30]
GSM663314
[31]
GSM663315
[32]
GSM663316
[33]
GSM663317
[34]
GSM663318
[35]
GSM663319
[36]
GSM663320
[37]
GSM663321
[38]
GSM663322
[39]
GSM663323
[40]
GSM663324
[41]
GSM663325
[42]
GSM663326
[43]
GSM663327
[44]
GSM663328
[45]
GSM663329
[46]
GSM663330
[47]
GSM663331
[48]
GSM663332
[49]
GSM663333
[50]
GSM663334
[51]
GSM663335
[52]
GSM663336
[53]
GSM663337
[54]
GSM663338
[55]
GSM663339
[56]
GSM663340
[57]
GSM663341
[58]
GSM663342
[59]
GSM663343
[60]
GSM663344
[61]
GSM663345
[62]
GSM663346
[63]
GSM663347
[64]
GSM663348
[65]
GSM663349
[66]
GSM663350
[67]
GSM663351
[68]
GSM663352
[69]
GSM663353
[70]
GSM663354
[71]
GSM663355
[72]
GSM663356
[73]
GSM663357
[74]
GSM663358
[75]
GSM663359
[76]
GSM663360
[77]
GSM663361
[78]
GSM663362
[79]
GSM663363
[80]
GSM663364
[81]
GSM663365
[82]
GSM663366
[83]
GSM663367
[84]
GSM663368
[85]
GSM663369
[86]
GSM663370
[87]
GSM663371
[88]
GSM663372
[89]
GSM663373
[90]
GSM663374
[91]
GSM663375
[92]
GSM663376
[93]
GSM663377
[94]
GSM663378
[95]
GSM663379
[96]
GSM663380
[97]
GSM663381
[98]
GSM663382
[99]
GSM663383
[100]
GSM663384
[101]
GSM663385
[102]
GSM663386
[103]
GSM663387
[104]
GSM663388
[105]
GSM663389
[106]
GSM663390
[107]
GSM663391
[108]
GSM663392
[109]
GSM663393
[110]
GSM663394
[111]
GSM663395
[112]
GSM663396
[113]
GSM663397
[114]
GSM663398
[115]
GSM663399
sample_count
116
group_sizes
null
group_sizes_basis
null
platform
9053
taxon
Homo sapiens
title
Human lung adenocarcinoma mRNA expression and gene mutations.
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[6] object · 15 fields
id
data:geo:GSE31210
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=GSE31210
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE31210
version
null
note
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material .
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material .
access_statement_kind
data_availability_statement
sample_accessions array · 246 items
[0]
GSM773540
[1]
GSM773541
[2]
GSM773542
[3]
GSM773543
[4]
GSM773544
[5]
GSM773545
[6]
GSM773546
[7]
GSM773547
[8]
GSM773548
[9]
GSM773549
[10]
GSM773550
[11]
GSM773551
[12]
GSM773552
[13]
GSM773553
[14]
GSM773554
[15]
GSM773555
[16]
GSM773556
[17]
GSM773557
[18]
GSM773558
[19]
GSM773559
[20]
GSM773560
[21]
GSM773561
[22]
GSM773562
[23]
GSM773563
[24]
GSM773564
[25]
GSM773565
[26]
GSM773566
[27]
GSM773567
[28]
GSM773568
[29]
GSM773569
[30]
GSM773570
[31]
GSM773571
[32]
GSM773572
[33]
GSM773573
[34]
GSM773574
[35]
GSM773575
[36]
GSM773576
[37]
GSM773577
[38]
GSM773578
[39]
GSM773579
[40]
GSM773580
[41]
GSM773581
[42]
GSM773582
[43]
GSM773583
[44]
GSM773584
[45]
GSM773585
[46]
GSM773586
[47]
GSM773587
[48]
GSM773588
[49]
GSM773589
[50]
GSM773590
[51]
GSM773591
[52]
GSM773592
[53]
GSM773593
[54]
GSM773594
[55]
GSM773595
[56]
GSM773596
[57]
GSM773597
[58]
GSM773598
[59]
GSM773599
[60]
GSM773600
[61]
GSM773601
[62]
GSM773602
[63]
GSM773603
[64]
GSM773604
[65]
GSM773605
[66]
GSM773606
[67]
GSM773607
[68]
GSM773608
[69]
GSM773609
[70]
GSM773610
[71]
GSM773611
[72]
GSM773612
[73]
GSM773613
[74]
GSM773614
[75]
GSM773615
[76]
GSM773616
[77]
GSM773617
[78]
GSM773618
[79]
GSM773619
[80]
GSM773620
[81]
GSM773621
[82]
GSM773622
[83]
GSM773623
[84]
GSM773624
[85]
GSM773625
[86]
GSM773626
[87]
GSM773627
[88]
GSM773628
[89]
GSM773629
[90]
GSM773630
[91]
GSM773631
[92]
GSM773632
[93]
GSM773633
[94]
GSM773634
[95]
GSM773635
[96]
GSM773636
[97]
GSM773637
[98]
GSM773638
[99]
GSM773639
[100]
GSM773640
[101]
GSM773641
[102]
GSM773642
[103]
GSM773643
[104]
GSM773644
[105]
GSM773645
[106]
GSM773646
[107]
GSM773647
[108]
GSM773648
[109]
GSM773649
[110]
GSM773650
[111]
GSM773651
[112]
GSM773652
[113]
GSM773653
[114]
GSM773654
[115]
GSM773655
[116]
GSM773656
[117]
GSM773657
[118]
GSM773658
[119]
GSM773659
[120]
GSM773660
[121]
GSM773661
[122]
GSM773662
[123]
GSM773663
[124]
GSM773664
[125]
GSM773665
[126]
GSM773666
[127]
GSM773667
[128]
GSM773668
[129]
GSM773669
[130]
GSM773670
[131]
GSM773671
[132]
GSM773672
[133]
GSM773673
[134]
GSM773674
[135]
GSM773675
[136]
GSM773676
[137]
GSM773677
[138]
GSM773678
[139]
GSM773679
[140]
GSM773680
[141]
GSM773681
[142]
GSM773682
[143]
GSM773683
[144]
GSM773684
[145]
GSM773685
[146]
GSM773686
[147]
GSM773687
[148]
GSM773688
[149]
GSM773689
[150]
GSM773690
[151]
GSM773691
[152]
GSM773692
[153]
GSM773693
[154]
GSM773694
[155]
GSM773695
[156]
GSM773696
[157]
GSM773697
[158]
GSM773698
[159]
GSM773699
[160]
GSM773700
[161]
GSM773701
[162]
GSM773702
[163]
GSM773703
[164]
GSM773704
[165]
GSM773705
[166]
GSM773706
[167]
GSM773707
[168]
GSM773708
[169]
GSM773709
[170]
GSM773710
[171]
GSM773711
[172]
GSM773712
[173]
GSM773713
[174]
GSM773714
[175]
GSM773715
[176]
GSM773716
[177]
GSM773717
[178]
GSM773718
[179]
GSM773719
[180]
GSM773720
[181]
GSM773721
[182]
GSM773722
[183]
GSM773723
[184]
GSM773724
[185]
GSM773725
[186]
GSM773726
[187]
GSM773727
[188]
GSM773728
[189]
GSM773729
[190]
GSM773730
[191]
GSM773731
[192]
GSM773732
[193]
GSM773733
[194]
GSM773734
[195]
GSM773735
[196]
GSM773736
[197]
GSM773737
[198]
GSM773738
[199]
GSM773739
[200]
GSM773740
[201]
GSM773741
[202]
GSM773742
[203]
GSM773743
[204]
GSM773744
[205]
GSM773745
[206]
GSM773746
[207]
GSM773747
[208]
GSM773748
[209]
GSM773749
[210]
GSM773750
[211]
GSM773751
[212]
GSM773752
[213]
GSM773753
[214]
GSM773754
[215]
GSM773755
[216]
GSM773756
[217]
GSM773757
[218]
GSM773758
[219]
GSM773759
[220]
GSM773760
[221]
GSM773761
[222]
GSM773762
[223]
GSM773763
[224]
GSM773764
[225]
GSM773765
[226]
GSM773766
[227]
GSM773767
[228]
GSM773768
[229]
GSM773769
[230]
GSM773770
[231]
GSM773771
[232]
GSM773772
[233]
GSM773773
[234]
GSM773774
[235]
GSM773775
[236]
GSM773776
[237]
GSM773777
[238]
GSM773778
[239]
GSM773779
[240]
GSM773780
[241]
GSM773781
[242]
GSM773782
[243]
GSM773783
[244]
GSM773784
[245]
GSM773785
sample_count
246
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Gene expression data for pathological stage I-II lung adenocarcinomas
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[7] object · 15 fields
id
data:geo:GSE42127
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=GSE42127
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE42127
version
null
note
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material .
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material .
access_statement_kind
data_availability_statement
sample_accessions array · 176 items
[0]
GSM1032881
[1]
GSM1032882
[2]
GSM1032883
[3]
GSM1032884
[4]
GSM1032885
[5]
GSM1032886
[6]
GSM1032887
[7]
GSM1032888
[8]
GSM1032889
[9]
GSM1032890
[10]
GSM1032891
[11]
GSM1032892
[12]
GSM1032893
[13]
GSM1032894
[14]
GSM1032895
[15]
GSM1032896
[16]
GSM1032897
[17]
GSM1032898
[18]
GSM1032899
[19]
GSM1032900
[20]
GSM1032901
[21]
GSM1032902
[22]
GSM1032903
[23]
GSM1032904
[24]
GSM1032905
[25]
GSM1032906
[26]
GSM1032907
[27]
GSM1032908
[28]
GSM1032909
[29]
GSM1032910
[30]
GSM1032911
[31]
GSM1032912
[32]
GSM1032913
[33]
GSM1032914
[34]
GSM1032915
[35]
GSM1032916
[36]
GSM1032917
[37]
GSM1032918
[38]
GSM1032919
[39]
GSM1032920
[40]
GSM1032921
[41]
GSM1032922
[42]
GSM1032923
[43]
GSM1032924
[44]
GSM1032925
[45]
GSM1032926
[46]
GSM1032927
[47]
GSM1032928
[48]
GSM1032929
[49]
GSM1032930
[50]
GSM1032931
[51]
GSM1032932
[52]
GSM1032933
[53]
GSM1032934
[54]
GSM1032935
[55]
GSM1032936
[56]
GSM1032937
[57]
GSM1032938
[58]
GSM1032939
[59]
GSM1032940
[60]
GSM1032941
[61]
GSM1032942
[62]
GSM1032943
[63]
GSM1032944
[64]
GSM1032945
[65]
GSM1032946
[66]
GSM1032947
[67]
GSM1032948
[68]
GSM1032949
[69]
GSM1032950
[70]
GSM1032951
[71]
GSM1032952
[72]
GSM1032953
[73]
GSM1032954
[74]
GSM1032955
[75]
GSM1032956
[76]
GSM1032957
[77]
GSM1032958
[78]
GSM1032959
[79]
GSM1032960
[80]
GSM1032961
[81]
GSM1032962
[82]
GSM1032963
[83]
GSM1032964
[84]
GSM1032965
[85]
GSM1032966
[86]
GSM1032967
[87]
GSM1032968
[88]
GSM1032969
[89]
GSM1032970
[90]
GSM1032971
[91]
GSM1032972
[92]
GSM1032973
[93]
GSM1032974
[94]
GSM1032975
[95]
GSM1032976
[96]
GSM1032977
[97]
GSM1032978
[98]
GSM1032979
[99]
GSM1032980
[100]
GSM1032981
[101]
GSM1032982
[102]
GSM1032983
[103]
GSM1032984
[104]
GSM1032985
[105]
GSM1032986
[106]
GSM1032987
[107]
GSM1032988
[108]
GSM1032989
[109]
GSM1032990
[110]
GSM1032991
[111]
GSM1032992
[112]
GSM1032993
[113]
GSM1032994
[114]
GSM1032995
[115]
GSM1032996
[116]
GSM1032997
[117]
GSM1032998
[118]
GSM1032999
[119]
GSM1033000
[120]
GSM1033001
[121]
GSM1033002
[122]
GSM1033003
[123]
GSM1033004
[124]
GSM1033005
[125]
GSM1033006
[126]
GSM1033007
[127]
GSM1033008
[128]
GSM1033009
[129]
GSM1033010
[130]
GSM1033011
[131]
GSM1033012
[132]
GSM1033013
[133]
GSM1033014
[134]
GSM1033015
[135]
GSM1033016
[136]
GSM1033017
[137]
GSM1033018
[138]
GSM1033019
[139]
GSM1033020
[140]
GSM1033021
[141]
GSM1033022
[142]
GSM1033023
[143]
GSM1033024
[144]
GSM1033025
[145]
GSM1033026
[146]
GSM1033027
[147]
GSM1033028
[148]
GSM1033029
[149]
GSM1033030
[150]
GSM1033031
[151]
GSM1033032
[152]
GSM1033033
[153]
GSM1033034
[154]
GSM1033035
[155]
GSM1033036
[156]
GSM1033037
[157]
GSM1033038
[158]
GSM1033039
[159]
GSM1033040
[160]
GSM1033041
[161]
GSM1033042
[162]
GSM1033043
[163]
GSM1033044
[164]
GSM1033045
[165]
GSM1033046
[166]
GSM1033047
[167]
GSM1033048
[168]
GSM1033049
[169]
GSM1033050
[170]
GSM1033051
[171]
GSM1033052
[172]
GSM1033053
[173]
GSM1033054
[174]
GSM1033055
[175]
GSM1033056
sample_count
176
group_sizes
null
group_sizes_basis
null
platform
6884
taxon
Homo sapiens
title
Expression data for non-small-cell lung cancer
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[8] object · 15 fields
id
data:geo:GSE50081
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=GSE50081
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE50081
version
null
note
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material .
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material .
access_statement_kind
data_availability_statement
sample_accessions array · 181 items
[0]
GSM1213669
[1]
GSM1213670
[2]
GSM1213671
[3]
GSM1213672
[4]
GSM1213673
[5]
GSM1213674
[6]
GSM1213675
[7]
GSM1213676
[8]
GSM1213677
[9]
GSM1213678
[10]
GSM1213679
[11]
GSM1213680
[12]
GSM1213681
[13]
GSM1213682
[14]
GSM1213683
[15]
GSM1213684
[16]
GSM1213685
[17]
GSM1213686
[18]
GSM1213687
[19]
GSM1213688
[20]
GSM1213689
[21]
GSM1213690
[22]
GSM1213691
[23]
GSM1213692
[24]
GSM1213693
[25]
GSM1213694
[26]
GSM1213695
[27]
GSM1213696
[28]
GSM1213697
[29]
GSM1213698
[30]
GSM1213699
[31]
GSM1213700
[32]
GSM1213701
[33]
GSM1213702
[34]
GSM1213703
[35]
GSM1213704
[36]
GSM1213705
[37]
GSM1213706
[38]
GSM1213707
[39]
GSM1213708
[40]
GSM1213709
[41]
GSM1213710
[42]
GSM1213711
[43]
GSM1213712
[44]
GSM1213713
[45]
GSM1213714
[46]
GSM1213715
[47]
GSM1213716
[48]
GSM1213717
[49]
GSM1213718
[50]
GSM1213719
[51]
GSM1213720
[52]
GSM1213721
[53]
GSM1213722
[54]
GSM1213723
[55]
GSM1213724
[56]
GSM1213725
[57]
GSM1213726
[58]
GSM1213727
[59]
GSM1213728
[60]
GSM1213729
[61]
GSM1213730
[62]
GSM1213731
[63]
GSM1213732
[64]
GSM1213733
[65]
GSM1213734
[66]
GSM1213735
[67]
GSM1213736
[68]
GSM1213737
[69]
GSM1213738
[70]
GSM1213739
[71]
GSM1213740
[72]
GSM1213741
[73]
GSM1213742
[74]
GSM1213743
[75]
GSM1213744
[76]
GSM1213745
[77]
GSM1213746
[78]
GSM1213747
[79]
GSM1213748
[80]
GSM1213749
[81]
GSM1213750
[82]
GSM1213751
[83]
GSM1213752
[84]
GSM1213753
[85]
GSM1213754
[86]
GSM1213755
[87]
GSM1213756
[88]
GSM1213757
[89]
GSM1213758
[90]
GSM1213759
[91]
GSM1213760
[92]
GSM1213761
[93]
GSM1213762
[94]
GSM1213763
[95]
GSM1213764
[96]
GSM1213765
[97]
GSM1213766
[98]
GSM1213767
[99]
GSM1213768
[100]
GSM1213769
[101]
GSM1213770
[102]
GSM1213771
[103]
GSM1213772
[104]
GSM1213773
[105]
GSM1213774
[106]
GSM1213775
[107]
GSM1213776
[108]
GSM1213777
[109]
GSM1213778
[110]
GSM1213779
[111]
GSM1213780
[112]
GSM1213781
[113]
GSM1213782
[114]
GSM1213783
[115]
GSM1213784
[116]
GSM1213785
[117]
GSM1213786
[118]
GSM1213787
[119]
GSM1213788
[120]
GSM1213789
[121]
GSM1213790
[122]
GSM1213791
[123]
GSM1213792
[124]
GSM1213793
[125]
GSM1213794
[126]
GSM1213795
[127]
GSM1213796
[128]
GSM1213797
[129]
GSM1213798
[130]
GSM1213799
[131]
GSM1213800
[132]
GSM1213801
[133]
GSM1213802
[134]
GSM1213803
[135]
GSM1213804
[136]
GSM1213805
[137]
GSM1213806
[138]
GSM1213807
[139]
GSM1213808
[140]
GSM1213809
[141]
GSM1213810
[142]
GSM1213811
[143]
GSM1213812
[144]
GSM1213813
[145]
GSM1213814
[146]
GSM1213815
[147]
GSM1213816
[148]
GSM1213817
[149]
GSM1213818
[150]
GSM1213819
[151]
GSM1213820
[152]
GSM1213821
[153]
GSM1213822
[154]
GSM1213823
[155]
GSM1213824
[156]
GSM1213825
[157]
GSM1213826
[158]
GSM1213827
[159]
GSM1213828
[160]
GSM1213829
[161]
GSM1213830
[162]
GSM1213831
[163]
GSM1213832
[164]
GSM1213833
[165]
GSM1213834
[166]
GSM1213835
[167]
GSM1213836
[168]
GSM1213837
[169]
GSM1213838
[170]
GSM1213839
[171]
GSM1213840
[172]
GSM1213841
[173]
GSM1213842
[174]
GSM1213843
[175]
GSM1213844
[176]
GSM1213845
[177]
GSM1213846
[178]
GSM1213847
[179]
GSM1213848
[180]
GSM1213849
sample_count
181
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Validation of a histology-independent prognostic gene signature for early stage, non-small cell lung cancer including stage IA patients
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[9] object · 15 fields
id
data:geo:GSE72094
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=GSE72094
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE72094
version
null
note
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material .
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material .
access_statement_kind
data_availability_statement
sample_accessions array · 442 items
[0]
GSM1854797
[1]
GSM1854798
[2]
GSM1854799
[3]
GSM1854800
[4]
GSM1854801
[5]
GSM1854802
[6]
GSM1854803
[7]
GSM1854804
[8]
GSM1854805
[9]
GSM1854806
[10]
GSM1854807
[11]
GSM1854808
[12]
GSM1854809
[13]
GSM1854810
[14]
GSM1854811
[15]
GSM1854812
[16]
GSM1854813
[17]
GSM1854814
[18]
GSM1854815
[19]
GSM1854816
[20]
GSM1854817
[21]
GSM1854818
[22]
GSM1854819
[23]
GSM1854820
[24]
GSM1854821
[25]
GSM1854822
[26]
GSM1854823
[27]
GSM1854824
[28]
GSM1854825
[29]
GSM1854826
[30]
GSM1854827
[31]
GSM1854828
[32]
GSM1854829
[33]
GSM1854830
[34]
GSM1854831
[35]
GSM1854832
[36]
GSM1854833
[37]
GSM1854834
[38]
GSM1854835
[39]
GSM1854836
[40]
GSM1854837
[41]
GSM1854838
[42]
GSM1854839
[43]
GSM1854840
[44]
GSM1854841
[45]
GSM1854842
[46]
GSM1854843
[47]
GSM1854844
[48]
GSM1854845
[49]
GSM1854846
[50]
GSM1854847
[51]
GSM1854848
[52]
GSM1854849
[53]
GSM1854850
[54]
GSM1854851
[55]
GSM1854852
[56]
GSM1854853
[57]
GSM1854854
[58]
GSM1854855
[59]
GSM1854856
[60]
GSM1854857
[61]
GSM1854858
[62]
GSM1854859
[63]
GSM1854860
[64]
GSM1854861
[65]
GSM1854862
[66]
GSM1854863
[67]
GSM1854864
[68]
GSM1854865
[69]
GSM1854866
[70]
GSM1854867
[71]
GSM1854868
[72]
GSM1854869
[73]
GSM1854870
[74]
GSM1854871
[75]
GSM1854872
[76]
GSM1854873
[77]
GSM1854874
[78]
GSM1854875
[79]
GSM1854876
[80]
GSM1854877
[81]
GSM1854878
[82]
GSM1854879
[83]
GSM1854880
[84]
GSM1854881
[85]
GSM1854882
[86]
GSM1854883
[87]
GSM1854884
[88]
GSM1854885
[89]
GSM1854886
[90]
GSM1854887
[91]
GSM1854888
[92]
GSM1854889
[93]
GSM1854890
[94]
GSM1854891
[95]
GSM1854892
[96]
GSM1854893
[97]
GSM1854894
[98]
GSM1854895
[99]
GSM1854896
[100]
GSM1854897
[101]
GSM1854898
[102]
GSM1854899
[103]
GSM1854900
[104]
GSM1854901
[105]
GSM1854902
[106]
GSM1854903
[107]
GSM1854904
[108]
GSM1854905
[109]
GSM1854906
[110]
GSM1854907
[111]
GSM1854908
[112]
GSM1854909
[113]
GSM1854910
[114]
GSM1854911
[115]
GSM1854912
[116]
GSM1854913
[117]
GSM1854914
[118]
GSM1854915
[119]
GSM1854916
[120]
GSM1854917
[121]
GSM1854918
[122]
GSM1854919
[123]
GSM1854920
[124]
GSM1854921
[125]
GSM1854922
[126]
GSM1854923
[127]
GSM1854924
[128]
GSM1854925
[129]
GSM1854926
[130]
GSM1854927
[131]
GSM1854928
[132]
GSM1854929
[133]
GSM1854930
[134]
GSM1854931
[135]
GSM1854932
[136]
GSM1854933
[137]
GSM1854934
[138]
GSM1854935
[139]
GSM1854936
[140]
GSM1854937
[141]
GSM1854938
[142]
GSM1854939
[143]
GSM1854940
[144]
GSM1854941
[145]
GSM1854942
[146]
GSM1854943
[147]
GSM1854944
[148]
GSM1854945
[149]
GSM1854946
[150]
GSM1854947
[151]
GSM1854948
[152]
GSM1854949
[153]
GSM1854950
[154]
GSM1854951
[155]
GSM1854952
[156]
GSM1854953
[157]
GSM1854954
[158]
GSM1854955
[159]
GSM1854956
[160]
GSM1854957
[161]
GSM1854958
[162]
GSM1854959
[163]
GSM1854960
[164]
GSM1854961
[165]
GSM1854962
[166]
GSM1854963
[167]
GSM1854964
[168]
GSM1854965
[169]
GSM1854966
[170]
GSM1854967
[171]
GSM1854968
[172]
GSM1854969
[173]
GSM1854970
[174]
GSM1854971
[175]
GSM1854972
[176]
GSM1854973
[177]
GSM1854974
[178]
GSM1854975
[179]
GSM1854976
[180]
GSM1854977
[181]
GSM1854978
[182]
GSM1854979
[183]
GSM1854980
[184]
GSM1854981
[185]
GSM1854982
[186]
GSM1854983
[187]
GSM1854984
[188]
GSM1854985
[189]
GSM1854986
[190]
GSM1854987
[191]
GSM1854988
[192]
GSM1854989
[193]
GSM1854990
[194]
GSM1854991
[195]
GSM1854992
[196]
GSM1854993
[197]
GSM1854994
[198]
GSM1854995
[199]
GSM1854996
[200]
GSM1854997
[201]
GSM1854998
[202]
GSM1854999
[203]
GSM1855000
[204]
GSM1855001
[205]
GSM1855002
[206]
GSM1855003
[207]
GSM1855004
[208]
GSM1855005
[209]
GSM1855006
[210]
GSM1855007
[211]
GSM1855008
[212]
GSM1855009
[213]
GSM1855010
[214]
GSM1855011
[215]
GSM1855012
[216]
GSM1855013
[217]
GSM1855014
[218]
GSM1855015
[219]
GSM1855016
[220]
GSM1855017
[221]
GSM1855018
[222]
GSM1855019
[223]
GSM1855020
[224]
GSM1855021
[225]
GSM1855022
[226]
GSM1855023
[227]
GSM1855024
[228]
GSM1855025
[229]
GSM1855026
[230]
GSM1855027
[231]
GSM1855028
[232]
GSM1855029
[233]
GSM1855030
[234]
GSM1855031
[235]
GSM1855032
[236]
GSM1855033
[237]
GSM1855034
[238]
GSM1855035
[239]
GSM1855036
[240]
GSM1855037
[241]
GSM1855038
[242]
GSM1855039
[243]
GSM1855040
[244]
GSM1855041
[245]
GSM1855042
[246]
GSM1855043
[247]
GSM1855044
[248]
GSM1855045
[249]
GSM1855046
[250]
GSM1855047
[251]
GSM1855048
[252]
GSM1855049
[253]
GSM1855050
[254]
GSM1855051
[255]
GSM1855052
[256]
GSM1855053
[257]
GSM1855054
[258]
GSM1855055
[259]
GSM1855056
[260]
GSM1855057
[261]
GSM1855058
[262]
GSM1855059
[263]
GSM1855060
[264]
GSM1855061
[265]
GSM1855062
[266]
GSM1855063
[267]
GSM1855064
[268]
GSM1855065
[269]
GSM1855066
[270]
GSM1855067
[271]
GSM1855068
[272]
GSM1855069
[273]
GSM1855070
[274]
GSM1855071
[275]
GSM1855072
[276]
GSM1855073
[277]
GSM1855074
[278]
GSM1855075
[279]
GSM1855076
[280]
GSM1855077
[281]
GSM1855078
[282]
GSM1855079
[283]
GSM1855080
[284]
GSM1855081
[285]
GSM1855082
[286]
GSM1855083
[287]
GSM1855084
[288]
GSM1855085
[289]
GSM1855086
[290]
GSM1855087
[291]
GSM1855088
[292]
GSM1855089
[293]
GSM1855090
[294]
GSM1855091
[295]
GSM1855092
[296]
GSM1855093
[297]
GSM1855094
[298]
GSM1855095
[299]
GSM1855096
[300]
GSM1855097
[301]
GSM1855098
[302]
GSM1855099
[303]
GSM1855100
[304]
GSM1855101
[305]
GSM1855102
[306]
GSM1855103
[307]
GSM1855104
[308]
GSM1855105
[309]
GSM1855106
[310]
GSM1855107
[311]
GSM1855108
[312]
GSM1855109
[313]
GSM1855110
[314]
GSM1855111
[315]
GSM1855112
[316]
GSM1855113
[317]
GSM1855114
[318]
GSM1855115
[319]
GSM1855116
[320]
GSM1855117
[321]
GSM1855118
[322]
GSM1855119
[323]
GSM1855120
[324]
GSM1855121
[325]
GSM1855122
[326]
GSM1855123
[327]
GSM1855124
[328]
GSM1855125
[329]
GSM1855126
[330]
GSM1855127
[331]
GSM1855128
[332]
GSM1855129
[333]
GSM1855130
[334]
GSM1855131
[335]
GSM1855132
[336]
GSM1855133
[337]
GSM1855134
[338]
GSM1855135
[339]
GSM1855136
[340]
GSM1855137
[341]
GSM1855138
[342]
GSM1855139
[343]
GSM1855140
[344]
GSM1855141
[345]
GSM1855142
[346]
GSM1855143
[347]
GSM1855144
[348]
GSM1855145
[349]
GSM1855146
[350]
GSM1855147
[351]
GSM1855148
[352]
GSM1855149
[353]
GSM1855150
[354]
GSM1855151
[355]
GSM1855152
[356]
GSM1855153
[357]
GSM1855154
[358]
GSM1855155
[359]
GSM1855156
[360]
GSM1855157
[361]
GSM1855158
[362]
GSM1855159
[363]
GSM1855160
[364]
GSM1855161
[365]
GSM1855162
[366]
GSM1855163
[367]
GSM1855164
[368]
GSM1855165
[369]
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[370]
GSM1855167
[371]
GSM1855168
[372]
GSM1855169
[373]
GSM1855170
[374]
GSM1855171
[375]
GSM1855172
[376]
GSM1855173
[377]
GSM1855174
[378]
GSM1855175
[379]
GSM1855176
[380]
GSM1855177
[381]
GSM1855178
[382]
GSM1855179
[383]
GSM1855180
[384]
GSM1855181
[385]
GSM1855182
[386]
GSM1855183
[387]
GSM1855184
[388]
GSM1855185
[389]
GSM1855186
[390]
GSM1855187
[391]
GSM1855188
[392]
GSM1855189
[393]
GSM1855190
[394]
GSM1855191
[395]
GSM1855192
[396]
GSM1855193
[397]
GSM1855194
[398]
GSM1855195
[399]
GSM1855196
[400]
GSM1855197
[401]
GSM1855198
[402]
GSM1855199
[403]
GSM1855200
[404]
GSM1855201
[405]
GSM1855202
[406]
GSM1855203
[407]
GSM1855204
[408]
GSM1855205
[409]
GSM1855206
[410]
GSM1855207
[411]
GSM1855208
[412]
GSM1855209
[413]
GSM1855210
[414]
GSM1855211
[415]
GSM1855212
[416]
GSM1855213
[417]
GSM1855214
[418]
GSM1855215
[419]
GSM1855216
[420]
GSM1855217
[421]
GSM1855218
[422]
GSM1855219
[423]
GSM1855220
[424]
GSM1855221
[425]
GSM1855222
[426]
GSM1855223
[427]
GSM1855224
[428]
GSM1855225
[429]
GSM1855226
[430]
GSM1855227
[431]
GSM1855228
[432]
GSM1855229
[433]
GSM1855230
[434]
GSM1855231
[435]
GSM1855232
[436]
GSM1855233
[437]
GSM1855234
[438]
GSM1855235
[439]
GSM1855236
[440]
GSM1855237
[441]
GSM1855238
sample_count
442
group_sizes
null
group_sizes_basis
null
platform
15048
taxon
Homo sapiens
title
KRAS mutation-associated gene expression, p53 and STK11 mutations, proliferation and immune surveillance in lung adenocarcinoma
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[10] object · 15 fields
id
data:geo:GSE8894
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=GSE8894
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE8894
version
null
note
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material .
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material .
access_statement_kind
data_availability_statement
sample_accessions array · 138 items
[0]
GSM225465
[1]
GSM225530
[2]
GSM225544
[3]
GSM225547
[4]
GSM225552
[5]
GSM225553
[6]
GSM225556
[7]
GSM225558
[8]
GSM225563
[9]
GSM225565
[10]
GSM225568
[11]
GSM225572
[12]
GSM225574
[13]
GSM225575
[14]
GSM225578
[15]
GSM225582
[16]
GSM225584
[17]
GSM225585
[18]
GSM225586
[19]
GSM225587
[20]
GSM225589
[21]
GSM225590
[22]
GSM225591
[23]
GSM225593
[24]
GSM225594
[25]
GSM225595
[26]
GSM225596
[27]
GSM225598
[28]
GSM225599
[29]
GSM225601
[30]
GSM225603
[31]
GSM225604
[32]
GSM225765
[33]
GSM225766
[34]
GSM225767
[35]
GSM225768
[36]
GSM225769
[37]
GSM225770
[38]
GSM225771
[39]
GSM225772
[40]
GSM225773
[41]
GSM225774
[42]
GSM225775
[43]
GSM225776
[44]
GSM225777
[45]
GSM225778
[46]
GSM225779
[47]
GSM225780
[48]
GSM225781
[49]
GSM225782
[50]
GSM225783
[51]
GSM225784
[52]
GSM225785
[53]
GSM225786
[54]
GSM225787
[55]
GSM225788
[56]
GSM225789
[57]
GSM225790
[58]
GSM225791
[59]
GSM225792
[60]
GSM225793
[61]
GSM225794
[62]
GSM225795
[63]
GSM225796
[64]
GSM225797
[65]
GSM225798
[66]
GSM225799
[67]
GSM225800
[68]
GSM225801
[69]
GSM225802
[70]
GSM225803
[71]
GSM225804
[72]
GSM225805
[73]
GSM225806
[74]
GSM225807
[75]
GSM225808
[76]
GSM225809
[77]
GSM225810
[78]
GSM225811
[79]
GSM225812
[80]
GSM225813
[81]
GSM225814
[82]
GSM225815
[83]
GSM225816
[84]
GSM225817
[85]
GSM225818
[86]
GSM225819
[87]
GSM225820
[88]
GSM225821
[89]
GSM225823
[90]
GSM225824
[91]
GSM225825
[92]
GSM225827
[93]
GSM225828
[94]
GSM225829
[95]
GSM225831
[96]
GSM225832
[97]
GSM225833
[98]
GSM225835
[99]
GSM225836
[100]
GSM225844
[101]
GSM225846
[102]
GSM225848
[103]
GSM225849
[104]
GSM225851
[105]
GSM225852
[106]
GSM225854
[107]
GSM225855
[108]
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[109]
GSM225859
[110]
GSM225861
[111]
GSM225863
[112]
GSM225864
[113]
GSM225866
[114]
GSM225868
[115]
GSM225873
[116]
GSM225874
[117]
GSM225876
[118]
GSM225877
[119]
GSM225879
[120]
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[121]
GSM225882
[122]
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[123]
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[124]
GSM225886
[125]
GSM225888
[126]
GSM225889
[127]
GSM225890
[128]
GSM225893
[129]
GSM225894
[130]
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[131]
GSM225896
[132]
GSM225897
[133]
GSM225898
[134]
GSM225899
[135]
GSM225900
[136]
GSM225901
[137]
GSM225902
sample_count
138
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Prediction of Recurrence-Free Survival in Postoperative NSCLC Patients—a Useful Prospective Clinical Practice
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 · 20 items
[0]
asset:data:geo:GSE11969 not downloaded
[1]
asset:data:geo:GSE11969 licence not read
[2]
asset:data:geo:GSE131907 not downloaded
[3]
asset:data:geo:GSE131907 licence not read
[4]
asset:data:geo:GSE13213 not downloaded
[5]
asset:data:geo:GSE13213 licence not read
[6]
asset:data:geo:GSE19188 not downloaded
[7]
asset:data:geo:GSE19188 licence not read
[8]
asset:data:geo:GSE26939 not downloaded
[9]
asset:data:geo:GSE26939 licence not read
[10]
asset:data:geo:GSE31210 not downloaded
[11]
asset:data:geo:GSE31210 licence not read
[12]
asset:data:geo:GSE42127 not downloaded
[13]
asset:data:geo:GSE42127 licence not read
[14]
asset:data:geo:GSE50081 not downloaded
[15]
asset:data:geo:GSE50081 licence not read
[16]
asset:data:geo:GSE72094 not downloaded
[17]
asset:data:geo:GSE72094 licence not read
[18]
asset:data:geo:GSE8894 not downloaded
[19]
asset:data:geo:GSE8894 licence not read
analysis object · 4 fields
state
partial
methods array · 5 items
[0] object · 10 fields
id
method-1
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
0.8
band
high
quote
Kaplan-Meier
[1] object · 10 fields
id
method-2
family
principal_component_analysis
specific
pca
label
Principal component analysis
dsl_operations array · 1 item
[0]
pca_fit
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
wide_numeric_matrix
evidence object · 3 fields
score
0.8
band
high
quote
principal component analysis
[2] object · 10 fields
id
method-3
family
clustering
specific
hierarchical
label
Clustering
dsl_operations array · 1 item
[0]
hierarchical_cluster
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
feature_matrix
evidence object · 3 fields
score
0.8
band
high
quote
dendrogram
[3] object · 10 fields
id
method-4
family
network_analysis
specific
pathway_enrichment
label
Network / pathway analysis
dsl_operations array · 1 item
[0]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.8
band
high
quote
Pathway enrichment
[4] object · 10 fields
id
method-5
family
null
specific
null
label
CIBERSORT
dsl_operations array · 0 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 0 items
evidence object · 3 fields
score
1
band
verbatim
quote
CIBERSORT was used to evaluate the levels of immune-infiltration from different lung adenocarcinoma datasets (TCGA-LUAD, GSE11969, GSE31210, GSE50081, GSE72094, and GSE8894).
targets array · 0 items
gaps array · 1 item
[0]
method.reader_named_unmapped
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 · 1 item
[0]
survival_km
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: kaplan_meier.
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 · 10 items
[0]
GSE11969
[1]
GSE19188
[2]
GSE26939
[3]
GSE31210
[4]
GSE42127
[5]
GSE50081
[6]
GSE72094
[7]
GSE8894
[8]
GSE131907
[9]
GSE13213
resolved_accessions array · 10 items
[0]
GSE11969
[1]
GSE19188
[2]
GSE26939
[3]
GSE31210
[4]
GSE42127
[5]
GSE50081
[6]
GSE72094
[7]
GSE8894
[8]
GSE131907
[9]
GSE13213
statements array · 1 item
[0]
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material .
basis
The paper names GSE11969, GSE19188, GSE26939, GSE31210, GSE42127, GSE50081, GSE72094, GSE8894, GSE131907, GSE13213 in GEO database and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
survival_km
assets array · 2 items
[0]
source:pmid:36311801
[1]
data:geo:GSE11969
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:GSE11969
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
2026-11-01T18:13:38Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
10959
completion_tokens
2700
cached_tokens
264
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:36311801
type
paper
label
pmid:36311801
[1] object · 3 fields
id
source:pmid:36311801
type
manuscript
label
PMID 36311801 full text
[2] object · 3 fields
id
data:geo:GSE11969
type
dataset
label
GEO GSE11969
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:36311801
type
paper
label
pmid:36311801
[1] object · 3 fields
id
source:pmid:36311801
type
manuscript
label
PMID 36311801 full text
[2] object · 3 fields
id
data:geo:GSE11969
type
dataset
label
GEO GSE11969
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-36311801
type
extraction
used array · 1 item
[0]
source:pmid:36311801
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE11969
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE11969
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:36311801
parent_hash
sha256:a56c8e192efaa82bf222f777d9ef037e70b866c422190bc62fdcbc351cda6fb8
fork_of
null
gaps array · 25 items
[0]
asset:data:geo:GSE11969 licence not read
[1]
asset:data:geo:GSE11969 not downloaded
[2]
asset:data:geo:GSE131907 licence not read
[3]
asset:data:geo:GSE131907 not downloaded
[4]
asset:data:geo:GSE13213 licence not read
[5]
asset:data:geo:GSE13213 not downloaded
[6]
asset:data:geo:GSE19188 licence not read
[7]
asset:data:geo:GSE19188 not downloaded
[8]
asset:data:geo:GSE26939 licence not read
[9]
asset:data:geo:GSE26939 not downloaded
[10]
asset:data:geo:GSE31210 licence not read
[11]
asset:data:geo:GSE31210 not downloaded
[12]
asset:data:geo:GSE42127 licence not read
[13]
asset:data:geo:GSE42127 not downloaded
[14]
asset:data:geo:GSE50081 licence not read
[15]
asset:data:geo:GSE50081 not downloaded
[16]
asset:data:geo:GSE72094 licence not read
[17]
asset:data:geo:GSE72094 not downloaded
[18]
asset:data:geo:GSE8894 licence not read
[19]
asset:data:geo:GSE8894 not downloaded
[20]
execution.not_run
[21]
method.reader_named_unmapped
[22]
review.human_critique
[23]
review.independent_reader
[24]
review.machine_critique
assays array · 3 items
[0] object · 11 fields
role
data_generation
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 4 items
[0]
etween macrophage infiltration and survival. Immunohistochemical analyses of clinical samples were consistent
[1]
cal sample validation (sample collection and immunohistochemistry) Lung Cancer samples were collected from the
[2]
for histological evaluation. HE-stained and immunohistochemical (IHC) slides were examined by two independen
[3]
rker for M2 macrophages (31). Double-labeled immunohistochemical staining was performed using alkaline phosph
order_basis
paper_text_order:757
id
assay:1
[1] object · 11 fields
role
data_generation
definition_id
animal_model
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 2 items
[0]
WHO criteria. Samples were IHC stained with mouse anti-human CD68 monoclonal antibodies (MAB-0
[1]
lonal antibodies (MAB-0863, clone MX075) and mouse anti-human CD163 monoclonal antibodies (MAB-
order_basis
paper_text_order:3294
id
assay:2
[2] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
survival_km
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Kaplan-Meier
order_basis
consumes_earlier_output
id
assay:3
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36311801", "kind": "science-record", "revision": 3, "content_hash": "sha256:aa1c9a79426038a4c495553f4b0da262e58669487f5902e4d1b1622b045f45b0", "created_at": "2026-11-01T18:15:44Z", "updated_at": "2026-11-01T21:29:21Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Significance of macrophage infiltration in the prognosis of lung adenocarcinoma patients evaluated by scRNA and bulkRNA analysis.", "doi": "10.3389/fimmu.2022.1028440", "pmid": "36311801", "authors": ["Huaiyang Zhu", "Chunning Zheng", "Hongtao Liu", "Fanhua Kong", "Shuai Kong", "Feng Chen", "Yuan Tian"], "journal": "Frontiers in immunology", "year": 2022, "abstract": "Purpose: To investigate the significance of macrophage infiltration to the prognosis of lung adenocarcinoma.\nMethods: R language bioinformatics analysis technology, was used to obtain macrophage infiltration-related module genes through WGCNA (Weighted Gene Co-Expression Network Analysis). Marker genes of macrophage subtypes were identified using single-cell sequencing of lung adenocarcinoma tissue. Risk score models were constructed and validated using external data cohorts and clinical samples.\nResults: Analysis of cohorts TCGA-LUAD, GSE11969, GSE31210, GSE50081, GSE72094 and GSE8894, revealed a negative correlation between macrophage infiltration and survival. Immunohistochemical analyses of clinical samples were consistent with these data. Based on cell-cluster-markers and TAMs-related-genes, TOP8 genes were obtained (C1QTNF6, CCNB1, FSCN1, HMMR, KPNA2, PRC1, RRM2, and TK1) with a significant association to prognosis. Risk score models including 9 factors (C1QTNF6, FSCN1, KPNA2, GLI2, TYMS, BIRC3, RBBP7, KRT8, GPR65) for prognosis were constructed. The efficacy, stability and generalizability of the risk score models were validated using multiple data cohorts (GSE19188, GSE26939, GSE31210, GSE50081, GSE42127, and GSE72094).\nConclusions: Macrophage infiltration negatively correlates with prognosis in patients with lung adenocarcinoma. Based on cell-cluster-markers and TAMs-related-genes, both TOP8 genes (C1QTNF6, CCNB1, FSCN1, HMMR, KPNA2, PRC1, RRM2, TK1) and risk score models using C1QTNF6, FSCN1, KPNA2, GLI2, TYMS, BIRC3, RBBP7, KRT8, GPR65 could predict disease prognosis.", "claims": [{"id": "claim-method", "statement": "CIBERSORT was used to evaluate the levels of immune-infiltration from different lung adenocarcinoma datasets (TCGA-LUAD, GSE11969, GSE31210, GSE50081, GSE72094, and GSE8894).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36311801", "locator": "sections[16] \"3.1 Proportion of immune infiltrating cells and the prognostic efficacy of macrophages\" paragraph 2", "quote": "CIBERSORT was used to evaluate the levels of immune-infiltration from different lung adenocarcinoma datasets (TCGA-LUAD, GSE11969, GSE31210, GSE50081, GSE72094, and GSE8894)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material .", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36311801", "locator": "sections[34] \"Data availability statement\" paragraph 2", "quote": "The datasets presented in this study can be found in online repositories. 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Immunohistochemical analyses of clinical samples were consistent", "cal sample validation (sample collection and immunohistochemistry) Lung Cancer samples were collected from the", "for histological evaluation. HE-stained and immunohistochemical (IHC) slides were examined by two independen", "rker for M2 macrophages (31). Double-labeled immunohistochemical staining was performed using alkaline phosph"], "order_basis": "paper_text_order:757", "id": "assay:1"}, {"role": "data_generation", "definition_id": "animal_model", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["WHO criteria. Samples were IHC stained with mouse anti-human CD68 monoclonal antibodies (MAB-0", "lonal antibodies (MAB-0863, clone MX075) and mouse anti-human CD163 monoclonal antibodies (MAB-"], "order_basis": "paper_text_order:3294", "id": "assay:2"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["survival_km"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 0.8, "evidence": ["Kaplan-Meier"], "order_basis": "consumes_earlier_output", "id": "assay:3"}]}