Corpus Engine Towards a reproducible .science file.
← All .science files

pmid:37115068

Prognostic significance of JAM 3 in gastric cancer: An observational study from TCGA and GEO.

Qinfu Zhao · Jiayu Lian · Kai Pang · Ping Wang · Ruiyin Ge · Yanliu Chu

Medicine · 2023 doi:10.1097/MD.0000000000033603

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:37115068
kind
science-record
content_hash
sha256:e467de7f140958d8a159981a112545b7c04e79a8370b937788a875b4255eaf51
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T19:01:47Z
updated_at
2026-11-01T22:09:22Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Prognostic significance of JAM 3 in gastric cancer: An observational study from TCGA and GEO.
doi
10.1097/MD.0000000000033603
pmid
37115068
authors array · 6 items
[0]
Qinfu Zhao
[1]
Jiayu Lian
[2]
Kai Pang
[3]
Ping Wang
[4]
Ruiyin Ge
[5]
Yanliu Chu
journal
Medicine
year
2023
abstract
Junctional adhesion molecule 3 (JAM3) can be used as a prognostic marker in multiple cancer types. However, the potential prognostic role of JAM3 in gastric cancer (GC) remains unclear. The purpose of this research was to gauge JAM3 expression and methylation as potential biomarkers for GC patient survival. Through bioinformatics research, we analyzed JAM3 expression, methylation, prognosis, and immune cell infiltrations. JAM3 methylation acts as a negative regulator of JAM3, leading to reduced expression of JAM3 in GC tissues relative to normal tissues. Patients with GC who expressed little JAM3 have a better chance of living a long time free of the disease, according to the Cancer Genome Atlas (TCGA) database. Through univariate and multivariate Cox regression analysis, inadequate JAM3 expression was labeled as an isolated indicator for overall survival (OS). The GSE84437 dataset was also used to confirm JAM3 prognostic role in GC, with consistent findings. A meta-analysis also found that low levels of JAM3 expression were significantly associated with longer OS. Finally, there was a strong correlation between JAM3 expression and a subset of immune cells. According to the TCGA database, low JAM3 expression could predict favorable OS and progression-free-survival (PFS) in GC patients (P < .05). The univariate and multivariate Cox regression demonstrated that low JAM3 expression was independent biomarker for OS (P < .05). Moreover, GSE84437 dataset was utilized to verify the prognostic role of JAM3 in GC, and the similar results were reached (P < .05). A meta-analysis revealed that low JAM3 expression was closely relevant to better OS. Finally, JAM3 expression exhibited a close correlation with some immune cells (P < .05). JAM3 might be a viable predictive biomarker and likely plays a crucial part in immune cell infiltration in individuals with GC.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
The GC data allowed for both univariate and multivariate cox regression analysis by R package.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:37115068
locator
sections[4] "2.2. Survival analysis in GC" paragraph 2
quote
The GC data allowed for both univariate and multivariate cox regression analysis by R package.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The datasets generated during and/or analyzed during the current study are publicly available.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:37115068
locator
sections[18] "fn-group" paragraph 1
quote
The datasets generated during and/or analyzed during the current study are publicly available.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
In a multivariate analysis, we found that age (HR: 1.036, 95% CI: 1.018–1.056, P < .001), stage (HR: 1.607, 95% CI: 1.284–2.011, P < .001), and JAM3 expression (HR: 1.322, 95%CI: 1.099–1.590, P = .003) were all independent prognostic biomarkers (Fig. 2B).
kind
quantitative
target object · 4 fields
value
95
unit
per cent
tolerance
null
source
In a multivariate analysis, we found that age (HR: 1.036, 95% CI: 1.018–1.056, P < .001), stage (HR: 1.607, 95% CI: 1.284–2.011, P < .001), and JAM3 expression (HR: 1.322, 95%CI: 1.099–1.590, P = .003) were all independent prognostic biomarkers (Fig. 2B).
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:37115068
locator
sections[9] "3.1. The expression and prognostic value of JAM3 in GC" paragraph 2
quote
In a multivariate analysis, we found that age (HR: 1.036, 95% CI: 1.018–1.056, P < .001), stage (HR: 1.607, 95% CI: 1.284–2.011, P < .001), and JAM3 expression (HR: 1.322, 95%CI: 1.099–1.590, P = .003) were all independent prognostic biomarkers (Fig. 2B).
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
In a multivariate analysis, we found that age (HR: 1.036, 95% CI: 1.018–1.056, P < .001), stage (HR: 1.607, 95% CI: 1.284–2.011, P < .001), and JAM3 expression (HR: 1.322, 95%CI: 1.099–1.590, P = .003) were all independent prognostic biomarkers (Fig. 2B).
steps array · 3 items
[0] object · 13 fields
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.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:37115068
outputs array · 1 item
[0]
the published estimate and its evidence
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
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. This lane did not download the dataset or read its licence.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE84437
outputs array · 1 item
[0]
the source data with its repository provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
id
run_analysis
order
3
name
Run the published analysis
kind
analysis
state
complete
blocked_on
null
description
Apply the paper's statistical method to the resolved series and compare the result with the published target.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE84437
outputs array · 1 item
[0]
the replicated result and its comparison
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
state
partial
assets array · 2 items
[0] object · 15 fields
id
source:pmid:37115068
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1097/MD.0000000000033603
sha256
sha256:d8f35e86b38e5ae0a16767f0c401c0cbcf4ed641ab31d01b3ab8da8289a712c0
bytes
25395
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1097/MD.0000000000033603
version
null
note
Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
structure object · 4 fields
pmcid
PMC10145878
source
europe_pmc_fulltext
coverage
whole_body_without_references
text_hash_scope
rendered_section_body
[1] 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 datasets generated during and/or analyzed during the current study are publicly available.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets generated during and/or analyzed during the current study are publicly available.
access_statement_kind
data_availability_statement
sample_accessions array · 483 items
[0]
GSM2235556
[1]
GSM2235557
[2]
GSM2235558
[3]
GSM2235559
[4]
GSM2235560
[5]
GSM2235561
[6]
GSM2235562
[7]
GSM2235563
[8]
GSM2235564
[9]
GSM2235565
[10]
GSM2235566
[11]
GSM2235567
[12]
GSM2235568
[13]
GSM2235569
[14]
GSM2235570
[15]
GSM2235571
[16]
GSM2235572
[17]
GSM2235573
[18]
GSM2235574
[19]
GSM2235575
[20]
GSM2235576
[21]
GSM2235577
[22]
GSM2235578
[23]
GSM2235579
[24]
GSM2235580
[25]
GSM2235582
[26]
GSM2235584
[27]
GSM2235585
[28]
GSM2235586
[29]
GSM2235587
[30]
GSM2235588
[31]
GSM2235589
[32]
GSM2235593
[33]
GSM2235595
[34]
GSM2235596
[35]
GSM2235597
[36]
GSM2235598
[37]
GSM2235599
[38]
GSM2235600
[39]
GSM2235601
[40]
GSM2235602
[41]
GSM2235603
[42]
GSM2235604
[43]
GSM2235605
[44]
GSM2235606
[45]
GSM2235607
[46]
GSM2235608
[47]
GSM2235609
[48]
GSM2235610
[49]
GSM2235611
[50]
GSM2235612
[51]
GSM2235613
[52]
GSM2235614
[53]
GSM2235615
[54]
GSM2235616
[55]
GSM2235617
[56]
GSM2235618
[57]
GSM2235619
[58]
GSM2235620
[59]
GSM2235621
[60]
GSM2235622
[61]
GSM2235623
[62]
GSM2235624
[63]
GSM2235625
[64]
GSM2235626
[65]
GSM2235627
[66]
GSM2235628
[67]
GSM2235629
[68]
GSM2235630
[69]
GSM2235631
[70]
GSM2235632
[71]
GSM2235633
[72]
GSM2235634
[73]
GSM2235635
[74]
GSM2235636
[75]
GSM2235637
[76]
GSM2235695
[77]
GSM2235696
[78]
GSM2235697
[79]
GSM2235698
[80]
GSM2235699
[81]
GSM2235700
[82]
GSM2235701
[83]
GSM2235702
[84]
GSM2235703
[85]
GSM2235704
[86]
GSM2235705
[87]
GSM2235706
[88]
GSM2235707
[89]
GSM2235708
[90]
GSM2235709
[91]
GSM2235710
[92]
GSM2235711
[93]
GSM2235712
[94]
GSM2235713
[95]
GSM2235714
[96]
GSM2235715
[97]
GSM2235716
[98]
GSM2235717
[99]
GSM2235718
[100]
GSM2235719
[101]
GSM2235720
[102]
GSM2235721
[103]
GSM2235722
[104]
GSM2235723
[105]
GSM2235724
[106]
GSM2235725
[107]
GSM2235726
[108]
GSM2235727
[109]
GSM2235728
[110]
GSM2235729
[111]
GSM2235730
[112]
GSM2235731
[113]
GSM2235732
[114]
GSM2235733
[115]
GSM2235734
[116]
GSM2235735
[117]
GSM2235736
[118]
GSM2235737
[119]
GSM2235738
[120]
GSM2235739
[121]
GSM2235740
[122]
GSM2235741
[123]
GSM2235742
[124]
GSM2235743
[125]
GSM2235744
[126]
GSM2235745
[127]
GSM2235746
[128]
GSM2235747
[129]
GSM2235748
[130]
GSM2235749
[131]
GSM2235750
[132]
GSM2235751
[133]
GSM2235752
[134]
GSM2235753
[135]
GSM2235754
[136]
GSM2235755
[137]
GSM2235756
[138]
GSM2235757
[139]
GSM2235758
[140]
GSM2235759
[141]
GSM2235760
[142]
GSM2235761
[143]
GSM2235762
[144]
GSM2235763
[145]
GSM2235764
[146]
GSM2235765
[147]
GSM2235766
[148]
GSM2235767
[149]
GSM2235768
[150]
GSM2235769
[151]
GSM2235770
[152]
GSM2235771
[153]
GSM2235772
[154]
GSM2235773
[155]
GSM2235774
[156]
GSM2235775
[157]
GSM2235776
[158]
GSM2235777
[159]
GSM2235778
[160]
GSM2235779
[161]
GSM2235780
[162]
GSM2235781
[163]
GSM2235782
[164]
GSM2235783
[165]
GSM2235784
[166]
GSM2235785
[167]
GSM2235786
[168]
GSM2235787
[169]
GSM2235788
[170]
GSM2235789
[171]
GSM2235790
[172]
GSM2235791
[173]
GSM2235792
[174]
GSM2235793
[175]
GSM2235794
[176]
GSM2235795
[177]
GSM2235796
[178]
GSM2235797
[179]
GSM2235798
[180]
GSM2235799
[181]
GSM2235800
[182]
GSM2235801
[183]
GSM2235802
[184]
GSM2235803
[185]
GSM2235804
[186]
GSM2235805
[187]
GSM2235806
[188]
GSM2235807
[189]
GSM2235808
[190]
GSM2235809
[191]
GSM2235810
[192]
GSM2235811
[193]
GSM2235812
[194]
GSM2235813
[195]
GSM2235814
[196]
GSM2235815
[197]
GSM2235816
[198]
GSM2235817
[199]
GSM2235818
[200]
GSM2235819
[201]
GSM2235820
[202]
GSM2235821
[203]
GSM2235822
[204]
GSM2235823
[205]
GSM2235824
[206]
GSM2235825
[207]
GSM2235826
[208]
GSM2235827
[209]
GSM2235828
[210]
GSM2235829
[211]
GSM2235830
[212]
GSM2235831
[213]
GSM2235837
[214]
GSM2235838
[215]
GSM2235839
[216]
GSM2235840
[217]
GSM2235841
[218]
GSM2235842
[219]
GSM2235843
[220]
GSM2235844
[221]
GSM2235845
[222]
GSM2235846
[223]
GSM2235847
[224]
GSM2235848
[225]
GSM2235849
[226]
GSM2235850
[227]
GSM2235851
[228]
GSM2235852
[229]
GSM2235853
[230]
GSM2235854
[231]
GSM2235855
[232]
GSM2235862
[233]
GSM2235863
[234]
GSM2235864
[235]
GSM2235865
[236]
GSM2235866
[237]
GSM2235867
[238]
GSM2235878
[239]
GSM2235879
[240]
GSM2235880
[241]
GSM2235881
[242]
GSM2235882
[243]
GSM2235883
[244]
GSM2235884
[245]
GSM2235885
[246]
GSM2235886
[247]
GSM2235887
[248]
GSM2235888
[249]
GSM2235889
[250]
GSM2235899
[251]
GSM2235900
[252]
GSM2235901
[253]
GSM2235902
[254]
GSM2235903
[255]
GSM2235904
[256]
GSM2235905
[257]
GSM2235906
[258]
GSM2235907
[259]
GSM2235908
[260]
GSM2235909
[261]
GSM2235910
[262]
GSM2235921
[263]
GSM2235922
[264]
GSM2235923
[265]
GSM2235924
[266]
GSM2235925
[267]
GSM2235926
[268]
GSM2235927
[269]
GSM2235928
[270]
GSM2235929
[271]
GSM2235930
[272]
GSM2235931
[273]
GSM2235932
[274]
GSM2235933
[275]
GSM2235934
[276]
GSM2235935
[277]
GSM2235936
[278]
GSM2235937
[279]
GSM2235938
[280]
GSM2235939
[281]
GSM2235940
[282]
GSM2235941
[283]
GSM2235942
[284]
GSM2235943
[285]
GSM2235944
[286]
GSM2235945
[287]
GSM2235946
[288]
GSM2235947
[289]
GSM2235948
[290]
GSM2235949
[291]
GSM2235950
[292]
GSM2235951
[293]
GSM2235952
[294]
GSM2235953
[295]
GSM2235954
[296]
GSM2235955
[297]
GSM2235956
[298]
GSM2235957
[299]
GSM2235958
[300]
GSM2235959
[301]
GSM2235960
[302]
GSM2235961
[303]
GSM2235962
[304]
GSM2235963
[305]
GSM2235964
[306]
GSM2235965
[307]
GSM2235966
[308]
GSM2235967
[309]
GSM2235968
[310]
GSM2235969
[311]
GSM2235970
[312]
GSM2235971
[313]
GSM2235972
[314]
GSM2235973
[315]
GSM2235974
[316]
GSM2235975
[317]
GSM2235976
[318]
GSM2235977
[319]
GSM2235978
[320]
GSM2235979
[321]
GSM2235980
[322]
GSM2235981
[323]
GSM2235982
[324]
GSM2235983
[325]
GSM2235984
[326]
GSM2235985
[327]
GSM2235986
[328]
GSM2235987
[329]
GSM2235988
[330]
GSM2235991
[331]
GSM2235992
[332]
GSM2235993
[333]
GSM2235994
[334]
GSM2235995
[335]
GSM2235996
[336]
GSM2235997
[337]
GSM2235998
[338]
GSM2235999
[339]
GSM2236000
[340]
GSM2236001
[341]
GSM2236002
[342]
GSM2236003
[343]
GSM2236004
[344]
GSM2236005
[345]
GSM2236006
[346]
GSM2236007
[347]
GSM2236008
[348]
GSM2236009
[349]
GSM2236010
[350]
GSM2236011
[351]
GSM2236012
[352]
GSM2236013
[353]
GSM2236014
[354]
GSM2236015
[355]
GSM2236016
[356]
GSM2236017
[357]
GSM2236018
[358]
GSM2236019
[359]
GSM2236020
[360]
GSM2236021
[361]
GSM2236022
[362]
GSM2236023
[363]
GSM2236024
[364]
GSM2236025
[365]
GSM2236026
[366]
GSM2236027
[367]
GSM2236028
[368]
GSM2236029
[369]
GSM2236030
[370]
GSM2236031
[371]
GSM2236032
[372]
GSM2236033
[373]
GSM2236034
[374]
GSM2236036
[375]
GSM2236037
[376]
GSM2236038
[377]
GSM2236039
[378]
GSM2236040
[379]
GSM2236041
[380]
GSM2236042
[381]
GSM2236043
[382]
GSM2236044
[383]
GSM2236045
[384]
GSM2236046
[385]
GSM2236047
[386]
GSM2236048
[387]
GSM2236049
[388]
GSM2236050
[389]
GSM2236051
[390]
GSM2236052
[391]
GSM2236053
[392]
GSM2236054
[393]
GSM2236055
[394]
GSM2236056
[395]
GSM2236057
[396]
GSM2236058
[397]
GSM2236059
[398]
GSM2236060
[399]
GSM2236061
[400]
GSM2236062
[401]
GSM2236063
[402]
GSM2236064
[403]
GSM2236065
[404]
GSM2236066
[405]
GSM2236067
[406]
GSM2236068
[407]
GSM2236069
[408]
GSM2236070
[409]
GSM2236071
[410]
GSM2236072
[411]
GSM2236073
[412]
GSM2236074
[413]
GSM2236075
[414]
GSM2236076
[415]
GSM2236077
[416]
GSM2236078
[417]
GSM2236079
[418]
GSM2236080
[419]
GSM2236082
[420]
GSM2236083
[421]
GSM2236084
[422]
GSM2236085
[423]
GSM2236086
[424]
GSM2236087
[425]
GSM2236088
[426]
GSM2236089
[427]
GSM2236090
[428]
GSM2236091
[429]
GSM2236092
[430]
GSM2236093
[431]
GSM2236094
[432]
GSM2236095
[433]
GSM4419484
[434]
GSM4419485
[435]
GSM4419486
[436]
GSM4419487
[437]
GSM4419488
[438]
GSM4419489
[439]
GSM4419490
[440]
GSM4419491
[441]
GSM4419492
[442]
GSM4419493
[443]
GSM4419494
[444]
GSM4419495
[445]
GSM4419496
[446]
GSM4419497
[447]
GSM4419498
[448]
GSM4419499
[449]
GSM4419500
[450]
GSM4419501
[451]
GSM4419502
[452]
GSM4419503
[453]
GSM4419504
[454]
GSM4419505
[455]
GSM4419506
[456]
GSM4419507
[457]
GSM4419508
[458]
GSM4419509
[459]
GSM4419510
[460]
GSM4419511
[461]
GSM4419512
[462]
GSM4419513
[463]
GSM4419514
[464]
GSM4419515
[465]
GSM4419516
[466]
GSM4419517
[467]
GSM4419518
[468]
GSM4419519
[469]
GSM4419520
[470]
GSM4419521
[471]
GSM4419522
[472]
GSM4419523
[473]
GSM4419524
[474]
GSM4419525
[475]
GSM4419526
[476]
GSM4419527
[477]
GSM4419528
[478]
GSM4419529
[479]
GSM4419530
[480]
GSM4419531
[481]
GSM4419532
[482]
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 · 2 items
[0]
asset:data:geo:GSE84437 not downloaded
[1]
asset:data:geo:GSE84437 licence not read
analysis object · 4 fields
state
partial
methods array · 4 items
[0] object · 10 fields
id
method-1
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
1
band
verbatim
quote
The GC data allowed for both univariate and multivariate cox regression analysis by R package.
[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
correlation_analysis
specific
pearson
label
Correlation analysis
dsl_operations array · 1 item
[0]
pearson_r
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
paired_numeric_columns
evidence object · 3 fields
score
0.8
band
high
quote
Pearson correlation
[3] object · 10 fields
id
method-4
family
contingency_analysis
specific
chi_square
label
Categorical (contingency table) analysis
dsl_operations array · 1 item
[0]
chi_square_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
categorical_cross_tabulation
evidence object · 3 fields
score
0.8
band
high
quote
chi-square
targets array · 1 item
[0] object · 8 fields
id
target-published-estimate
claim_id
claim-target-result
operation
chi_square_test
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]
cox_ph
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: cox_proportional_hazards.
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 · 1 item
[0]
GSE84437
resolved_accessions array · 1 item
[0]
GSE84437
statements array · 1 item
[0]
The datasets generated during and/or analyzed during the current study are publicly available.
basis
The paper names GSE84437 in GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
cox_ph
assets array · 2 items
[0]
source:pmid:37115068
[1]
data:geo:GSE84437
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:GSE84437
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
2026-11-01T18:38:04Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
8232
completion_tokens
1224
cached_tokens
256
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:37115068
type
paper
label
pmid:37115068
[1] object · 3 fields
id
source:pmid:37115068
type
manuscript
label
PMID 37115068 full text
[2] object · 3 fields
id
data:geo:GSE84437
type
dataset
label
GEO GSE84437
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:37115068
type
paper
label
pmid:37115068
[1] object · 3 fields
id
source:pmid:37115068
type
manuscript
label
PMID 37115068 full text
[2] object · 3 fields
id
data:geo:GSE84437
type
dataset
label
GEO GSE84437
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-37115068
type
extraction
used array · 1 item
[0]
source:pmid:37115068
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE84437
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE84437
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:37115068
parent_hash
sha256:d316f32eecb352d901171cb13e8c6a7a6502e7613187f6d6076c6b8522c92fd7
fork_of
null
gaps array · 7 items
[0]
asset:data:geo:GSE84437 licence not read
[1]
asset:data:geo:GSE84437 not downloaded
[2]
execution.not_run
[3]
method.reader_differs_from_extractor
[4]
review.human_critique
[5]
review.independent_reader
[6]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
cox_ph
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The GC data allowed for both univariate and multivariate cox regression analysis by R package.
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37115068", "kind": "science-record", "revision": 3, "content_hash": "sha256:e467de7f140958d8a159981a112545b7c04e79a8370b937788a875b4255eaf51", "created_at": "2026-11-01T19:01:47Z", "updated_at": "2026-11-01T22:09:22Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Prognostic significance of JAM 3 in gastric cancer: An observational study from TCGA and GEO.", "doi": "10.1097/MD.0000000000033603", "pmid": "37115068", "authors": ["Qinfu Zhao", "Jiayu Lian", "Kai Pang", "Ping Wang", "Ruiyin Ge", "Yanliu Chu"], "journal": "Medicine", "year": 2023, "abstract": "Junctional adhesion molecule 3 (JAM3) can be used as a prognostic marker in multiple cancer types. However, the potential prognostic role of JAM3 in gastric cancer (GC) remains unclear. The purpose of this research was to gauge JAM3 expression and methylation as potential biomarkers for GC patient survival. Through bioinformatics research, we analyzed JAM3 expression, methylation, prognosis, and immune cell infiltrations. JAM3 methylation acts as a negative regulator of JAM3, leading to reduced expression of JAM3 in GC tissues relative to normal tissues. Patients with GC who expressed little JAM3 have a better chance of living a long time free of the disease, according to the Cancer Genome Atlas (TCGA) database. Through univariate and multivariate Cox regression analysis, inadequate JAM3 expression was labeled as an isolated indicator for overall survival (OS). The GSE84437 dataset was also used to confirm JAM3 prognostic role in GC, with consistent findings. A meta-analysis also found that low levels of JAM3 expression were significantly associated with longer OS. Finally, there was a strong correlation between JAM3 expression and a subset of immune cells. According to the TCGA database, low JAM3 expression could predict favorable OS and progression-free-survival (PFS) in GC patients (P < .05). The univariate and multivariate Cox regression demonstrated that low JAM3 expression was independent biomarker for OS (P < .05). Moreover, GSE84437 dataset was utilized to verify the prognostic role of JAM3 in GC, and the similar results were reached (P < .05). A meta-analysis revealed that low JAM3 expression was closely relevant to better OS. Finally, JAM3 expression exhibited a close correlation with some immune cells (P < .05). JAM3 might be a viable predictive biomarker and likely plays a crucial part in immune cell infiltration in individuals with GC.", "claims": [{"id": "claim-method", "statement": "The GC data allowed for both univariate and multivariate cox regression analysis by R package.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37115068", "locator": "sections[4] \"2.2. Survival analysis in GC\" paragraph 2", "quote": "The GC data allowed for both univariate and multivariate cox regression analysis by R package."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets generated during and/or analyzed during the current study are publicly available.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37115068", "locator": "sections[18] \"fn-group\" paragraph 1", "quote": "The datasets generated during and/or analyzed during the current study are publicly available."}], "state": "complete"}, {"id": "claim-target-result", "statement": "In a multivariate analysis, we found that age (HR: 1.036, 95% CI: 1.018–1.056, P < .001), stage (HR: 1.607, 95% CI: 1.284–2.011, P < .001), and JAM3 expression (HR: 1.322, 95%CI: 1.099–1.590, P = .003) were all independent prognostic biomarkers (Fig. 2B).", "kind": "quantitative", "target": {"value": 95.0, "unit": "per cent", "tolerance": null, "source": "In a multivariate analysis, we found that age (HR: 1.036, 95% CI: 1.018–1.056, P < .001), stage (HR: 1.607, 95% CI: 1.284–2.011, P < .001), and JAM3 expression (HR: 1.322, 95%CI: 1.099–1.590, P = .003) were all independent prognostic biomarkers (Fig. 2B)."}, "evidence": [{"asset": "source:pmid:37115068", "locator": "sections[9] \"3.1. The expression and prognostic value of JAM3 in GC\" paragraph 2", "quote": "In a multivariate analysis, we found that age (HR: 1.036, 95% CI: 1.018–1.056, P < .001), stage (HR: 1.607, 95% CI: 1.284–2.011, P < .001), and JAM3 expression (HR: 1.322, 95%CI: 1.099–1.590, P = .003) were all independent prognostic biomarkers (Fig. 2B)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "In a multivariate analysis, we found that age (HR: 1.036, 95% CI: 1.018–1.056, P < .001), stage (HR: 1.607, 95% CI: 1.284–2.011, P < .001), and JAM3 expression (HR: 1.322, 95%CI: 1.099–1.590, P = .003) were all independent prognostic biomarkers (Fig. 2B).", "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:37115068"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE84437"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE84437"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:37115068", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1097/MD.0000000000033603", "sha256": "sha256:d8f35e86b38e5ae0a16767f0c401c0cbcf4ed641ab31d01b3ab8da8289a712c0", "bytes": 25395, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1097/MD.0000000000033603", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC10145878", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"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 datasets generated during and/or analyzed during the current study are publicly available.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets generated during and/or analyzed during the current study are publicly available.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM2235556", "GSM2235557", "GSM2235558", "GSM2235559", "GSM2235560", "GSM2235561", "GSM2235562", "GSM2235563", "GSM2235564", "GSM2235565", "GSM2235566", "GSM2235567", "GSM2235568", "GSM2235569", "GSM2235570", "GSM2235571", "GSM2235572", "GSM2235573", "GSM2235574", "GSM2235575", "GSM2235576", "GSM2235577", "GSM2235578", "GSM2235579", "GSM2235580", "GSM2235582", "GSM2235584", "GSM2235585", "GSM2235586", "GSM2235587", "GSM2235588", "GSM2235589", "GSM2235593", "GSM2235595", "GSM2235596", "GSM2235597", "GSM2235598", "GSM2235599", "GSM2235600", "GSM2235601", "GSM2235602", "GSM2235603", "GSM2235604", "GSM2235605", "GSM2235606", "GSM2235607", "GSM2235608", "GSM2235609", "GSM2235610", "GSM2235611", "GSM2235612", "GSM2235613", "GSM2235614", "GSM2235615", "GSM2235616", "GSM2235617", "GSM2235618", "GSM2235619", "GSM2235620", "GSM2235621", "GSM2235622", "GSM2235623", "GSM2235624", "GSM2235625", "GSM2235626", "GSM2235627", "GSM2235628", "GSM2235629", "GSM2235630", "GSM2235631", "GSM2235632", "GSM2235633", "GSM2235634", "GSM2235635", "GSM2235636", "GSM2235637", "GSM2235695", "GSM2235696", "GSM2235697", "GSM2235698", "GSM2235699", "GSM2235700", "GSM2235701", "GSM2235702", "GSM2235703", "GSM2235704", "GSM2235705", "GSM2235706", "GSM2235707", "GSM2235708", "GSM2235709", "GSM2235710", "GSM2235711", "GSM2235712", "GSM2235713", "GSM2235714", "GSM2235715", "GSM2235716", "GSM2235717", "GSM2235718", "GSM2235719", "GSM2235720", "GSM2235721", "GSM2235722", "GSM2235723", "GSM2235724", "GSM2235725", "GSM2235726", "GSM2235727", "GSM2235728", "GSM2235729", "GSM2235730", "GSM2235731", "GSM2235732", "GSM2235733", "GSM2235734", "GSM2235735", "GSM2235736", "GSM2235737", "GSM2235738", "GSM2235739", "GSM2235740", "GSM2235741", "GSM2235742", "GSM2235743", "GSM2235744", "GSM2235745", "GSM2235746", "GSM2235747", "GSM2235748", "GSM2235749", "GSM2235750", "GSM2235751", "GSM2235752", "GSM2235753", "GSM2235754", "GSM2235755", "GSM2235756", "GSM2235757", "GSM2235758", "GSM2235759", "GSM2235760", "GSM2235761", "GSM2235762", "GSM2235763", "GSM2235764", "GSM2235765", "GSM2235766", "GSM2235767", "GSM2235768", "GSM2235769", "GSM2235770", "GSM2235771", "GSM2235772", "GSM2235773", "GSM2235774", "GSM2235775", "GSM2235776", "GSM2235777", "GSM2235778", "GSM2235779", "GSM2235780", "GSM2235781", "GSM2235782", "GSM2235783", "GSM2235784", "GSM2235785", "GSM2235786", "GSM2235787", "GSM2235788", "GSM2235789", "GSM2235790", "GSM2235791", "GSM2235792", "GSM2235793", "GSM2235794", "GSM2235795", "GSM2235796", "GSM2235797", "GSM2235798", "GSM2235799", "GSM2235800", "GSM2235801", "GSM2235802", "GSM2235803", "GSM2235804", "GSM2235805", "GSM2235806", "GSM2235807", "GSM2235808", "GSM2235809", "GSM2235810", "GSM2235811", "GSM2235812", "GSM2235813", "GSM2235814", "GSM2235815", "GSM2235816", "GSM2235817", "GSM2235818", "GSM2235819", "GSM2235820", "GSM2235821", "GSM2235822", "GSM2235823", "GSM2235824", "GSM2235825", "GSM2235826", "GSM2235827", "GSM2235828", "GSM2235829", "GSM2235830", "GSM2235831", "GSM2235837", "GSM2235838", "GSM2235839", "GSM2235840", "GSM2235841", "GSM2235842", "GSM2235843", "GSM2235844", "GSM2235845", "GSM2235846", "GSM2235847", "GSM2235848", "GSM2235849", "GSM2235850", "GSM2235851", "GSM2235852", "GSM2235853", "GSM2235854", "GSM2235855", "GSM2235862", "GSM2235863", "GSM2235864", "GSM2235865", "GSM2235866", "GSM2235867", "GSM2235878", "GSM2235879", "GSM2235880", "GSM2235881", "GSM2235882", "GSM2235883", "GSM2235884", "GSM2235885", "GSM2235886", "GSM2235887", "GSM2235888", "GSM2235889", "GSM2235899", "GSM2235900", "GSM2235901", "GSM2235902", "GSM2235903", "GSM2235904", "GSM2235905", "GSM2235906", "GSM2235907", "GSM2235908", "GSM2235909", "GSM2235910", "GSM2235921", "GSM2235922", "GSM2235923", "GSM2235924", "GSM2235925", "GSM2235926", "GSM2235927", "GSM2235928", "GSM2235929", "GSM2235930", "GSM2235931", "GSM2235932", "GSM2235933", "GSM2235934", "GSM2235935", "GSM2235936", "GSM2235937", "GSM2235938", "GSM2235939", "GSM2235940", "GSM2235941", "GSM2235942", "GSM2235943", "GSM2235944", "GSM2235945", "GSM2235946", "GSM2235947", "GSM2235948", "GSM2235949", "GSM2235950", "GSM2235951", "GSM2235952", "GSM2235953", "GSM2235954", "GSM2235955", "GSM2235956", "GSM2235957", "GSM2235958", "GSM2235959", "GSM2235960", "GSM2235961", "GSM2235962", "GSM2235963", "GSM2235964", "GSM2235965", "GSM2235966", "GSM2235967", "GSM2235968", "GSM2235969", "GSM2235970", "GSM2235971", "GSM2235972", "GSM2235973", "GSM2235974", "GSM2235975", "GSM2235976", "GSM2235977", "GSM2235978", "GSM2235979", "GSM2235980", "GSM2235981", "GSM2235982", "GSM2235983", "GSM2235984", "GSM2235985", "GSM2235986", "GSM2235987", "GSM2235988", "GSM2235991", "GSM2235992", "GSM2235993", "GSM2235994", "GSM2235995", "GSM2235996", "GSM2235997", "GSM2235998", "GSM2235999", "GSM2236000", "GSM2236001", "GSM2236002", "GSM2236003", "GSM2236004", "GSM2236005", "GSM2236006", "GSM2236007", "GSM2236008", "GSM2236009", "GSM2236010", "GSM2236011", "GSM2236012", "GSM2236013", "GSM2236014", "GSM2236015", "GSM2236016", "GSM2236017", "GSM2236018", "GSM2236019", "GSM2236020", "GSM2236021", "GSM2236022", "GSM2236023", "GSM2236024", "GSM2236025", "GSM2236026", "GSM2236027", "GSM2236028", "GSM2236029", "GSM2236030", "GSM2236031", "GSM2236032", "GSM2236033", "GSM2236034", "GSM2236036", "GSM2236037", "GSM2236038", "GSM2236039", "GSM2236040", "GSM2236041", "GSM2236042", "GSM2236043", "GSM2236044", "GSM2236045", "GSM2236046", "GSM2236047", "GSM2236048", "GSM2236049", "GSM2236050", "GSM2236051", "GSM2236052", "GSM2236053", "GSM2236054", "GSM2236055", "GSM2236056", "GSM2236057", "GSM2236058", "GSM2236059", "GSM2236060", "GSM2236061", "GSM2236062", "GSM2236063", "GSM2236064", "GSM2236065", "GSM2236066", "GSM2236067", "GSM2236068", "GSM2236069", "GSM2236070", "GSM2236071", "GSM2236072", "GSM2236073", "GSM2236074", "GSM2236075", "GSM2236076", "GSM2236077", "GSM2236078", "GSM2236079", "GSM2236080", "GSM2236082", "GSM2236083", "GSM2236084", "GSM2236085", "GSM2236086", "GSM2236087", "GSM2236088", "GSM2236089", "GSM2236090", "GSM2236091", "GSM2236092", "GSM2236093", "GSM2236094", "GSM2236095", "GSM4419484", "GSM4419485", "GSM4419486", "GSM4419487", "GSM4419488", "GSM4419489", "GSM4419490", "GSM4419491", "GSM4419492", "GSM4419493", "GSM4419494", "GSM4419495", "GSM4419496", "GSM4419497", "GSM4419498", "GSM4419499", "GSM4419500", "GSM4419501", "GSM4419502", "GSM4419503", "GSM4419504", "GSM4419505", "GSM4419506", "GSM4419507", "GSM4419508", "GSM4419509", "GSM4419510", "GSM4419511", "GSM4419512", "GSM4419513", "GSM4419514", "GSM4419515", "GSM4419516", "GSM4419517", "GSM4419518", "GSM4419519", "GSM4419520", "GSM4419521", "GSM4419522", "GSM4419523", "GSM4419524", "GSM4419525", "GSM4419526", "GSM4419527", "GSM4419528", "GSM4419529", "GSM4419530", "GSM4419531", "GSM4419532", "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": ["asset:data:geo:GSE84437 not downloaded", "asset:data:geo:GSE84437 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "survival_analysis", "specific": "cox_proportional_hazards", "label": "Survival analysis", "dsl_operations": ["cox_ph"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "The GC data allowed for both univariate and multivariate cox regression analysis by R package."}}, {"id": "method-2", "family": "group_comparison", "specific": "student_t_test", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["student_t"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "Student t test"}}, {"id": "method-3", "family": "correlation_analysis", "specific": "pearson", "label": "Correlation analysis", "dsl_operations": ["pearson_r"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["paired_numeric_columns"], "evidence": {"score": 0.8, "band": "high", "quote": "Pearson correlation"}}, {"id": "method-4", "family": "contingency_analysis", "specific": "chi_square", "label": "Categorical (contingency table) analysis", "dsl_operations": ["chi_square_test"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["categorical_cross_tabulation"], "evidence": {"score": 0.8, "band": "high", "quote": "chi-square"}}], "targets": [{"id": "target-published-estimate", "claim_id": "claim-target-result", "operation": "chi_square_test", "expected_value": 95.0, "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": ["method.reader_differs_from_extractor"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["cox_ph"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards."}, "capability": {"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": {"tier": "R1", "reachable": true, "accessions": ["GSE84437"], "resolved_accessions": ["GSE84437"], "statements": ["The datasets generated during and/or analyzed during the current study are publicly available."], "basis": "The paper names GSE84437 in GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["cox_ph"], "assets": ["source:pmid:37115068", "data:geo:GSE84437"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE84437"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T18:38:04Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 8232, "completion_tokens": 1224, "cached_tokens": 256}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:37115068", "type": "paper", "label": "pmid:37115068"}, {"id": "source:pmid:37115068", "type": "manuscript", "label": "PMID 37115068 full text"}, {"id": "data:geo:GSE84437", "type": "dataset", "label": "GEO GSE84437"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:37115068", "type": "paper", "label": "pmid:37115068"}, {"id": "source:pmid:37115068", "type": "manuscript", "label": "PMID 37115068 full text"}, {"id": "data:geo:GSE84437", "type": "dataset", "label": "GEO GSE84437"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-37115068", "type": "extraction", "used": ["source:pmid:37115068"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE84437", "type": "accession_resolution", "used": ["data:geo:GSE84437"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:37115068", "parent_hash": "sha256:d316f32eecb352d901171cb13e8c6a7a6502e7613187f6d6076c6b8522c92fd7", "fork_of": null, "generation": 2}, "gaps": ["asset:data:geo:GSE84437 licence not read", "asset:data:geo:GSE84437 not downloaded", "execution.not_run", "method.reader_differs_from_extractor", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["cox_ph"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["The GC data allowed for both univariate and multivariate cox regression analysis by R package."], "order_basis": "analysis_only", "id": "assay:1"}]}