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pmid:35865012

Apoptosis-Related Gene-Mediated Cell Death Pattern Induces Immunosuppression and Immunotherapy Resistance in Gastric Cancer.

Xiaolu Yuan · Jun Zhou · Liping Zhou · Zudong Huang · Weiwei Wang · Jiasheng Qiu · Qiangbang Yang · Chaohao Zhang · MingHui Ma

Frontiers in genetics · 2022 doi:10.3389/fgene.2022.921163

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Experiment

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Data

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pmid:35865012
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title
Apoptosis-Related Gene-Mediated Cell Death Pattern Induces Immunosuppression and Immunotherapy Resistance in Gastric Cancer.
doi
10.3389/fgene.2022.921163
pmid
35865012
authors array · 9 items
[0]
Xiaolu Yuan
[1]
Jun Zhou
[2]
Liping Zhou
[3]
Zudong Huang
[4]
Weiwei Wang
[5]
Jiasheng Qiu
[6]
Qiangbang Yang
[7]
Chaohao Zhang
[8]
MingHui Ma
journal
Frontiers in genetics
year
2022
abstract
Background: Apoptosis is a type of cell death, which can produce abundant mediators to modify the tumor microenvironment. However, relationships between apoptosis, immunosuppression, and immunotherapy resistance of gastric cancer (GC) remain unclear. Methods: Gene expression data and matching clinical information were extracted from TCGA-STAD, GSE84437, GSE34942, GSE15459, GSE57303, ACRG/GSE62254, GSE29272, GSE26253, and IMvigor210 datasets. A consensus clustering analysis based on six apoptosis-related genes (ARGs) was performed to determine the molecular subtypes, and then an apoptosisScore was constructed based on differentially expressed and prognostic genes between molecular subtypes. Estimate R package was utilized to calculate the tumor microenvironment condition. Kaplan-Meier analysis and ROC curves were performed to further confirm the apoptosisScore efficacy. Results: Based on six ARGs, two molecular subgroups with significantly distinct survival and immune cell infiltration were identified. Then, an apoptosisScore was built to quantify the apoptosis index of each GC patient. Next, we investigated the correlations between the clinical characteristics and apoptosisScore using logistic regression. Multivariate Cox analysis shows that low apoptosisScore was an independent predictor of poor overall survival in TCGA and ACRG datasets, and was associated with the higher pathological stage. Meanwhile, low apoptosisScore was associated with higher immune cell, higher ESTIMATEScore, higher immuneScore, higher stromalScore, higher immune checkpoint, and lower tumorpurity, which was consistent with the "immunity tidal model theory". Importantly, low apoptosisScore was sensitive to immunotherapy. In addition, GSEA indicated that several gene ontology and Kyoto Encyclopedia of Genes and Genomes items associated with apoptosis, several immune-related pathways, and JAK-STAT signal pathway were considerably enriched in the low apoptosisScore phenotype pathway. Conclusion: Our findings propose that low apoptosisScore is a prognostic biomarker, correlated with immune infiltrates, and sensitivity to immunotherapy in GC.
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Kaplan-Meier analysis and ROC curves were performed to further confirm the apoptosisScore efficacy.
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Kaplan-Meier analysis and ROC curves were performed to further confirm the apoptosisScore efficacy.
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sections[22] "Data Availability Statement" paragraph 2
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The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author.
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Low apoptosisScore is an independent adverse prognostic factor in gastric cancer and is associated with greater immune infiltration and sensitivity to immunotherapy.
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Multivariate analyses showed that low apoptosisScore was a separate prognostic indicator in GC patients (ACRG cohort: HR = 2.33, 95% CI = 1.89–2.86, p < 0.001, TCGA cohort: HR = 1.33, 95% CI = 1.09–1.62, p = 0.004) (Figures 6A,B).
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sections[17] "Prognostic Value of apoptosisScore in Gastric Cancer Patients" paragraph 2
quote
Multivariate analyses showed that low apoptosisScore was a separate prognostic indicator in GC patients (ACRG cohort: HR = 2.33, 95% CI = 1.89–2.86, p < 0.001, TCGA cohort: HR = 1.33, 95% CI = 1.09–1.62, p = 0.004) (Figures 6A,B).
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sections[0] "Abstract" paragraph 4
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Our findings propose that low apoptosisScore is a prognostic biomarker, correlated with immune infiltrates, and sensitivity to immunotherapy in GC.
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Low apoptosisScore is an independent adverse prognostic factor in gastric cancer and is associated with greater immune infiltration and sensitivity to immunotherapy.
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GSM644751
[233]
GSM644752
[234]
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[235]
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[236]
GSM644755
[237]
GSM644756
[238]
GSM644757
[239]
GSM644758
[240]
GSM644759
[241]
GSM644760
[242]
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[243]
GSM644762
[244]
GSM644763
[245]
GSM644764
[246]
GSM644765
[247]
GSM644766
[248]
GSM644767
[249]
GSM644768
[250]
GSM644769
[251]
GSM644770
[252]
GSM644771
[253]
GSM644772
[254]
GSM644773
[255]
GSM644774
[256]
GSM644775
[257]
GSM644776
[258]
GSM644777
[259]
GSM644778
[260]
GSM644779
[261]
GSM644780
[262]
GSM644781
[263]
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[264]
GSM644783
[265]
GSM644784
[266]
GSM644785
[267]
GSM644786
[268]
GSM644787
[269]
GSM644788
[270]
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[271]
GSM644790
[272]
GSM644791
[273]
GSM644792
[274]
GSM644793
[275]
GSM644794
[276]
GSM644795
[277]
GSM644796
[278]
GSM644797
[279]
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[280]
GSM644799
[281]
GSM644800
[282]
GSM644801
[283]
GSM644802
[284]
GSM644803
[285]
GSM644804
[286]
GSM644805
[287]
GSM644806
[288]
GSM644807
[289]
GSM644808
[290]
GSM644809
[291]
GSM644810
[292]
GSM644811
[293]
GSM644812
[294]
GSM644813
[295]
GSM644814
[296]
GSM644815
[297]
GSM644816
[298]
GSM644817
[299]
GSM644818
[300]
GSM644819
[301]
GSM644820
[302]
GSM644821
[303]
GSM644822
[304]
GSM644823
[305]
GSM644824
[306]
GSM644825
[307]
GSM644826
[308]
GSM644827
[309]
GSM644828
[310]
GSM644829
[311]
GSM644830
[312]
GSM644831
[313]
GSM644832
[314]
GSM644833
[315]
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[316]
GSM644835
[317]
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[318]
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[319]
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[320]
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[321]
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[322]
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[323]
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[328]
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[329]
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[330]
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[331]
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[332]
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[333]
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[334]
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[335]
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[336]
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[337]
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[338]
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[339]
GSM644858
[340]
GSM644859
[341]
GSM644860
[342]
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[343]
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[344]
GSM644863
[345]
GSM644864
[346]
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[347]
GSM644866
[348]
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[349]
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[350]
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[351]
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[352]
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[353]
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[354]
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[355]
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[356]
GSM644875
[357]
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[358]
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[359]
GSM644878
[360]
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[361]
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[362]
GSM644881
[363]
GSM644882
[364]
GSM644883
[365]
GSM644884
[366]
GSM644885
[367]
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[368]
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[369]
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[370]
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[371]
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[372]
GSM644891
[373]
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[374]
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[375]
GSM644894
[376]
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[377]
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[378]
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[379]
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[380]
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[381]
GSM644900
[382]
GSM644901
[383]
GSM644902
[384]
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[385]
GSM644904
[386]
GSM644905
[387]
GSM644906
[388]
GSM644907
[389]
GSM644908
[390]
GSM644909
[391]
GSM644910
[392]
GSM644911
[393]
GSM644912
[394]
GSM644913
[395]
GSM644914
[396]
GSM644915
[397]
GSM644916
[398]
GSM644917
[399]
GSM644918
[400]
GSM644919
[401]
GSM644920
[402]
GSM644921
[403]
GSM644922
[404]
GSM644923
[405]
GSM644924
[406]
GSM644925
[407]
GSM644926
[408]
GSM644927
[409]
GSM644928
[410]
GSM644929
[411]
GSM644930
[412]
GSM644931
[413]
GSM644932
[414]
GSM644933
[415]
GSM644934
[416]
GSM644935
[417]
GSM644936
[418]
GSM644937
[419]
GSM644938
[420]
GSM644939
[421]
GSM644940
[422]
GSM644941
[423]
GSM644942
[424]
GSM644943
[425]
GSM644944
[426]
GSM644945
[427]
GSM644946
[428]
GSM644947
[429]
GSM644948
[430]
GSM644949
[431]
GSM644950
sample_count
432
group_sizes
null
group_sizes_basis
null
platform
8432
taxon
Homo sapiens
title
Gene expression profiling of formalin fixed paraffin embedded tumor tissue identifies gastric cancer patients who are at high risk after curative surgery plus adjuvant chemoradiotherapy
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 15 fields
id
data:geo:GSE29272
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=GSE29272
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE29272
version
null
note
The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 268 items
[0]
GSM723464
[1]
GSM723465
[2]
GSM723466
[3]
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[4]
GSM723468
[5]
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[6]
GSM723470
[7]
GSM723471
[8]
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[9]
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[10]
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[11]
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[12]
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[13]
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[14]
GSM723478
[15]
GSM723479
[16]
GSM723480
[17]
GSM723481
[18]
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[19]
GSM723483
[20]
GSM723484
[21]
GSM723485
[22]
GSM723486
[23]
GSM723487
[24]
GSM723488
[25]
GSM723489
[26]
GSM723490
[27]
GSM723491
[28]
GSM723492
[29]
GSM723493
[30]
GSM723494
[31]
GSM723495
[32]
GSM723496
[33]
GSM723497
[34]
GSM723498
[35]
GSM723499
[36]
GSM723500
[37]
GSM723501
[38]
GSM723502
[39]
GSM723503
[40]
GSM723504
[41]
GSM723505
[42]
GSM723506
[43]
GSM723507
[44]
GSM723508
[45]
GSM723509
[46]
GSM723510
[47]
GSM723511
[48]
GSM723512
[49]
GSM723513
[50]
GSM723514
[51]
GSM723515
[52]
GSM723516
[53]
GSM723517
[54]
GSM723518
[55]
GSM723519
[56]
GSM723520
[57]
GSM723521
[58]
GSM723522
[59]
GSM723523
[60]
GSM723524
[61]
GSM723525
[62]
GSM723526
[63]
GSM723527
[64]
GSM723528
[65]
GSM723529
[66]
GSM723530
[67]
GSM723531
[68]
GSM723532
[69]
GSM723533
[70]
GSM723534
[71]
GSM723535
[72]
GSM723536
[73]
GSM723537
[74]
GSM723538
[75]
GSM723539
[76]
GSM723540
[77]
GSM723541
[78]
GSM723542
[79]
GSM723543
[80]
GSM723544
[81]
GSM723545
[82]
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[83]
GSM723547
[84]
GSM723548
[85]
GSM723549
[86]
GSM723550
[87]
GSM723551
[88]
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[89]
GSM723553
[90]
GSM723554
[91]
GSM723555
[92]
GSM723556
[93]
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[94]
GSM723558
[95]
GSM723559
[96]
GSM723560
[97]
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[98]
GSM723562
[99]
GSM723563
[100]
GSM723564
[101]
GSM723565
[102]
GSM723566
[103]
GSM723567
[104]
GSM723568
[105]
GSM723569
[106]
GSM723570
[107]
GSM723571
[108]
GSM723572
[109]
GSM723573
[110]
GSM723574
[111]
GSM723575
[112]
GSM723576
[113]
GSM723577
[114]
GSM723578
[115]
GSM723579
[116]
GSM723580
[117]
GSM723581
[118]
GSM723582
[119]
GSM723583
[120]
GSM723584
[121]
GSM723585
[122]
GSM723586
[123]
GSM723587
[124]
GSM723588
[125]
GSM723589
[126]
GSM723590
[127]
GSM723591
[128]
GSM723592
[129]
GSM723593
[130]
GSM723594
[131]
GSM723595
[132]
GSM723596
[133]
GSM723597
[134]
GSM723598
[135]
GSM723599
[136]
GSM723600
[137]
GSM723601
[138]
GSM723602
[139]
GSM723603
[140]
GSM723604
[141]
GSM723605
[142]
GSM723606
[143]
GSM723607
[144]
GSM723608
[145]
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[146]
GSM723610
[147]
GSM723611
[148]
GSM723612
[149]
GSM723613
[150]
GSM723614
[151]
GSM723615
[152]
GSM723616
[153]
GSM723617
[154]
GSM723618
[155]
GSM723619
[156]
GSM723620
[157]
GSM723621
[158]
GSM723622
[159]
GSM723623
[160]
GSM723624
[161]
GSM723625
[162]
GSM723626
[163]
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[164]
GSM723628
[165]
GSM723629
[166]
GSM723630
[167]
GSM723631
[168]
GSM723632
[169]
GSM723633
[170]
GSM723634
[171]
GSM723635
[172]
GSM723636
[173]
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[174]
GSM723638
[175]
GSM723639
[176]
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[177]
GSM723641
[178]
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[179]
GSM723643
[180]
GSM723644
[181]
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[182]
GSM723646
[183]
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[184]
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[185]
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[186]
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[187]
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[188]
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[189]
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[190]
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[191]
GSM723655
[192]
GSM723656
[193]
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[194]
GSM723658
[195]
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[196]
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[197]
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[198]
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[199]
GSM723663
[200]
GSM723664
[201]
GSM723665
[202]
GSM723666
[203]
GSM723667
[204]
GSM723668
[205]
GSM723669
[206]
GSM723670
[207]
GSM723671
[208]
GSM723672
[209]
GSM723673
[210]
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[211]
GSM723675
[212]
GSM723676
[213]
GSM723677
[214]
GSM723678
[215]
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[216]
GSM723680
[217]
GSM723681
[218]
GSM723682
[219]
GSM723683
[220]
GSM723684
[221]
GSM723685
[222]
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[223]
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[224]
GSM723688
[225]
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[226]
GSM723690
[227]
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[228]
GSM723692
[229]
GSM723693
[230]
GSM723694
[231]
GSM723695
[232]
GSM723696
[233]
GSM723697
[234]
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[235]
GSM723699
[236]
GSM723700
[237]
GSM723701
[238]
GSM723702
[239]
GSM723703
[240]
GSM723704
[241]
GSM723705
[242]
GSM723706
[243]
GSM723707
[244]
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[245]
GSM723709
[246]
GSM723710
[247]
GSM723711
[248]
GSM723712
[249]
GSM723713
[250]
GSM723714
[251]
GSM723715
[252]
GSM723716
[253]
GSM723717
[254]
GSM723718
[255]
GSM723719
[256]
GSM723720
[257]
GSM723721
[258]
GSM723722
[259]
GSM723723
[260]
GSM723724
[261]
GSM723725
[262]
GSM723726
[263]
GSM723727
[264]
GSM723728
[265]
GSM723729
[266]
GSM723730
[267]
GSM723731
sample_count
268
group_sizes
null
group_sizes_basis
null
platform
96
taxon
Homo sapiens
title
Affymetrix gene expression array data for cardia and non-cardia gastric cancer samples
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[4] object · 15 fields
id
data:geo:GSE34942
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=GSE34942
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE34942
version
null
note
The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 56 items
[0]
GSM858082
[1]
GSM858083
[2]
GSM858084
[3]
GSM858085
[4]
GSM858086
[5]
GSM858087
[6]
GSM858088
[7]
GSM858089
[8]
GSM858090
[9]
GSM858091
[10]
GSM858092
[11]
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[12]
GSM858094
[13]
GSM858095
[14]
GSM858096
[15]
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[16]
GSM858098
[17]
GSM858099
[18]
GSM858100
[19]
GSM858101
[20]
GSM858102
[21]
GSM858103
[22]
GSM858104
[23]
GSM858105
[24]
GSM858106
[25]
GSM858107
[26]
GSM858108
[27]
GSM858109
[28]
GSM858110
[29]
GSM858111
[30]
GSM858112
[31]
GSM858113
[32]
GSM858114
[33]
GSM858115
[34]
GSM858116
[35]
GSM858117
[36]
GSM858118
[37]
GSM858119
[38]
GSM858120
[39]
GSM858121
[40]
GSM858122
[41]
GSM858123
[42]
GSM858124
[43]
GSM858125
[44]
GSM858126
[45]
GSM858127
[46]
GSM858128
[47]
GSM858129
[48]
GSM858130
[49]
GSM858131
[50]
GSM858132
[51]
GSM858133
[52]
GSM858134
[53]
GSM858135
[54]
GSM858136
[55]
GSM858137
sample_count
56
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Gastric cancer subtyping (Singapore Patient Cohort, batch B)
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:GSE57303
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=GSE57303
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE57303
version
null
note
The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 70 items
[0]
GSM1379261
[1]
GSM1379262
[2]
GSM1379263
[3]
GSM1379264
[4]
GSM1379265
[5]
GSM1379266
[6]
GSM1379267
[7]
GSM1379268
[8]
GSM1379269
[9]
GSM1379270
[10]
GSM1379271
[11]
GSM1379272
[12]
GSM1379273
[13]
GSM1379274
[14]
GSM1379275
[15]
GSM1379276
[16]
GSM1379277
[17]
GSM1379278
[18]
GSM1379279
[19]
GSM1379280
[20]
GSM1379281
[21]
GSM1379282
[22]
GSM1379283
[23]
GSM1379284
[24]
GSM1379285
[25]
GSM1379286
[26]
GSM1379287
[27]
GSM1379288
[28]
GSM1379289
[29]
GSM1379290
[30]
GSM1379291
[31]
GSM1379292
[32]
GSM1379293
[33]
GSM1379294
[34]
GSM1379295
[35]
GSM1379296
[36]
GSM1379297
[37]
GSM1379298
[38]
GSM1379299
[39]
GSM1379300
[40]
GSM1379301
[41]
GSM1379302
[42]
GSM1379303
[43]
GSM1379304
[44]
GSM1379305
[45]
GSM1379306
[46]
GSM1379307
[47]
GSM1379308
[48]
GSM1379309
[49]
GSM1379310
[50]
GSM1379311
[51]
GSM1379312
[52]
GSM1379313
[53]
GSM1379314
[54]
GSM1379315
[55]
GSM1379316
[56]
GSM1379317
[57]
GSM1379318
[58]
GSM1379319
[59]
GSM1379320
[60]
GSM1379321
[61]
GSM1379322
[62]
GSM1379323
[63]
GSM1379324
[64]
GSM1379325
[65]
GSM1379326
[66]
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[68]
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[69]
GSM1379330
sample_count
70
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Expression data from 70 gastric cancer patients
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:GSE84437
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=GSE84437
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE84437
version
null
note
The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author.
access_statement_kind
data_availability_statement
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[134]
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[135]
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[399]
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[400]
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GSM4419533
sample_count
483
group_sizes
null
group_sizes_basis
null
platform
6947
taxon
Homo sapiens
title
Molecular subtypes in gastric cancer.
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 · 12 items
[0]
asset:data:geo:GSE15459 not downloaded
[1]
asset:data:geo:GSE15459 licence not read
[2]
asset:data:geo:GSE26253 not downloaded
[3]
asset:data:geo:GSE26253 licence not read
[4]
asset:data:geo:GSE29272 not downloaded
[5]
asset:data:geo:GSE29272 licence not read
[6]
asset:data:geo:GSE34942 not downloaded
[7]
asset:data:geo:GSE34942 licence not read
[8]
asset:data:geo:GSE57303 not downloaded
[9]
asset:data:geo:GSE57303 licence not read
[10]
asset:data:geo:GSE84437 not downloaded
[11]
asset:data:geo:GSE84437 licence not read
analysis object · 4 fields
state
partial
methods array · 6 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
1
band
verbatim
quote
Kaplan-Meier analysis and ROC curves were performed to further confirm the apoptosisScore efficacy.
[1] object · 10 fields
id
method-2
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
0.8
band
high
quote
Student t-test
[2] object · 10 fields
id
method-3
family
group_comparison
specific
mann_whitney
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_mann_whitney
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
Mann-Whitney
[3] object · 10 fields
id
method-4
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
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
Cox regression
[4] object · 10 fields
id
method-5
family
survival_analysis
specific
log_rank_test
label
Survival analysis
dsl_operations array · 1 item
[0]
logrank_test
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
Log-rank
[5] object · 10 fields
id
method-6
family
regression_modelling
specific
logistic
label
Regression modelling
dsl_operations array · 1 item
[0]
glm_logit_fit
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
predictors_and_outcome
evidence object · 3 fields
score
0.7
band
medium
quote
logistic regression
targets array · 1 item
[0] object · 8 fields
id
target-published-estimate
claim_id
claim-target-result
operation
cox_ph
unit
per cent
tolerance
null
state
complete
note
The published estimate as the reader quoted it from the paper. No tolerance is published because the paper states none.
gaps array · 1 item
[0]
method.reader_differs_from_extractor
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 · 7 items
[0]
GSE84437
[1]
GSE34942
[2]
GSE15459
[3]
GSE57303
[4]
ACRG/GSE62254
[5]
GSE29272
[6]
GSE26253
resolved_accessions array · 6 items
[0]
GSE84437
[1]
GSE34942
[2]
GSE15459
[3]
GSE57303
[4]
GSE29272
[5]
GSE26253
statements array · 1 item
[0]
The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author.
basis
The paper names GSE84437, GSE34942, GSE15459, GSE57303, GSE29272, GSE26253 in Gene expression omnibus (GEO) genomics data repository and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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Apoptosis-Related Gene-Mediated Cell Death Pattern Ind
[1]
Background: Apoptosis is a type of cell death, which can produce a
[2]
oenvironment. However, relationships between apoptosis, immunosuppression, and immunotherapy resist
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A consensus clustering analysis based on six apoptosis-related genes (ARGs) was performed to determ
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Kaplan-Meier analysis and ROC curves were performed to further confirm the apoptosisScore efficacy.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35865012", "kind": "science-record", "revision": 4, "content_hash": "sha256:3629b8d345316a6d9d74341bed041e6e62e536e879df68e20976b60a189dbf93", "created_at": "2026-11-01T18:14:57Z", "updated_at": "2026-11-01T22:07:06Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Apoptosis-Related Gene-Mediated Cell Death Pattern Induces Immunosuppression and Immunotherapy Resistance in Gastric Cancer.", "doi": "10.3389/fgene.2022.921163", "pmid": "35865012", "authors": ["Xiaolu Yuan", "Jun Zhou", "Liping Zhou", "Zudong Huang", "Weiwei Wang", "Jiasheng Qiu", "Qiangbang Yang", "Chaohao Zhang", "MingHui Ma"], "journal": "Frontiers in genetics", "year": 2022, "abstract": "Background: Apoptosis is a type of cell death, which can produce abundant mediators to modify the tumor microenvironment. However, relationships between apoptosis, immunosuppression, and immunotherapy resistance of gastric cancer (GC) remain unclear. Methods: Gene expression data and matching clinical information were extracted from TCGA-STAD, GSE84437, GSE34942, GSE15459, GSE57303, ACRG/GSE62254, GSE29272, GSE26253, and IMvigor210 datasets. A consensus clustering analysis based on six apoptosis-related genes (ARGs) was performed to determine the molecular subtypes, and then an apoptosisScore was constructed based on differentially expressed and prognostic genes between molecular subtypes. Estimate R package was utilized to calculate the tumor microenvironment condition. Kaplan-Meier analysis and ROC curves were performed to further confirm the apoptosisScore efficacy. Results: Based on six ARGs, two molecular subgroups with significantly distinct survival and immune cell infiltration were identified. Then, an apoptosisScore was built to quantify the apoptosis index of each GC patient. Next, we investigated the correlations between the clinical characteristics and apoptosisScore using logistic regression. Multivariate Cox analysis shows that low apoptosisScore was an independent predictor of poor overall survival in TCGA and ACRG datasets, and was associated with the higher pathological stage. Meanwhile, low apoptosisScore was associated with higher immune cell, higher ESTIMATEScore, higher immuneScore, higher stromalScore, higher immune checkpoint, and lower tumorpurity, which was consistent with the \"immunity tidal model theory\". Importantly, low apoptosisScore was sensitive to immunotherapy. In addition, GSEA indicated that several gene ontology and Kyoto Encyclopedia of Genes and Genomes items associated with apoptosis, several immune-related pathways, and JAK-STAT signal pathway were considerably enriched in the low apoptosisScore phenotype pathway. Conclusion: Our findings propose that low apoptosisScore is a prognostic biomarker, correlated with immune infiltrates, and sensitivity to immunotherapy in GC.", "claims": [{"id": "claim-method", "statement": "Kaplan-Meier analysis and ROC curves were performed to further confirm the apoptosisScore efficacy.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35865012", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Kaplan-Meier analysis and ROC curves were performed to further confirm the apoptosisScore efficacy."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35865012", "locator": "sections[22] \"Data Availability Statement\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Low apoptosisScore is an independent adverse prognostic factor in gastric cancer and is associated with greater immune infiltration and sensitivity to immunotherapy.", "kind": "quantitative", "target": {"value": 95.0, "unit": "per cent", "tolerance": null, "source": "Multivariate analyses showed that low apoptosisScore was a separate prognostic indicator in GC patients (ACRG cohort: HR = 2.33, 95% CI = 1.89–2.86, p < 0.001, TCGA cohort: HR = 1.33, 95% CI = 1.09–1.62, p = 0.004) (Figures 6A,B)."}, "evidence": [{"asset": "source:pmid:35865012", "locator": "sections[17] \"Prognostic Value of apoptosisScore in Gastric Cancer Patients\" paragraph 2", "quote": "Multivariate analyses showed that low apoptosisScore was a separate prognostic indicator in GC patients (ACRG cohort: HR = 2.33, 95% CI = 1.89–2.86, p < 0.001, TCGA cohort: HR = 1.33, 95% CI = 1.09–1.62, p = 0.004) (Figures 6A,B)."}, {"asset": "source:pmid:35865012", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "Our findings propose that low apoptosisScore is a prognostic biomarker, correlated with immune infiltrates, and sensitivity to immunotherapy in GC."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Low apoptosisScore is an independent adverse prognostic factor in gastric cancer and is associated with greater immune infiltration and sensitivity to immunotherapy.", "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:35865012"], "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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