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

pmid:41607772

Intra-tumoral NK cells and their association with patient outcomes: a novel prognostic model incorporating NK cells and clinicopathologic features in gastric cancer.

Masanori Oshi · Yuko Tamura · Rongrong Wu · Colin J Rog · Li Yan · Kizuki Yuza · Takashi Kosaka · Hirotoshi Akiyama · Takashi Ishikawa · Kazuaki Takabe · Itaru Endo

Frontiers in immunology · 2025 doi:10.3389/fimmu.2025.1760280

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:41607772
kind
science-record
content_hash
sha256:c213737a50cee1927534588e4db5fedecb18239b79952fe51f82ed44b20a20c9
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T20:31:42Z
updated_at
2026-11-01T21:36:32Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Intra-tumoral NK cells and their association with patient outcomes: a novel prognostic model incorporating NK cells and clinicopathologic features in gastric cancer.
doi
10.3389/fimmu.2025.1760280
pmid
41607772
authors array · 11 items
[0]
Masanori Oshi
[1]
Yuko Tamura
[2]
Rongrong Wu
[3]
Colin J Rog
[4]
Li Yan
[5]
Kizuki Yuza
[6]
Takashi Kosaka
[7]
Hirotoshi Akiyama
[8]
Takashi Ishikawa
[9]
Kazuaki Takabe
[10]
Itaru Endo
journal
Frontiers in immunology
year
2025
abstract
Background: Natural killer (NK) cell infiltration has been implicated in the prognosis of gastric cancer patients. However, NK cell infiltration fraction has not yet been used routinely in clinical practice due to a lack of a measure for accurate quantification. Methods: NK cell infiltration fraction was quantified using a deconvolution tool and its clinical relevance was investigated in gastric cancer patients from our institution (Yokohama City University Hospital (YCU) and those present in publicly available cohorts with transcriptome data (TCGA, GSE84437 and GSE150290). Results: In the single cell sequencing cohort, the distribution of NK cells was similar to that of NK cell-related gene expression. High NK cell infiltration in gastric cancer correlated with enriched immune gene sets, such as IFN-α and IFN-γ responses, and also linked to increased cytolytic activity and low stromal cell infiltration along with higher mutation rates. Clinically, high NK cell infiltration was associated with better overall survival and improved response to neoadjuvant chemotherapy. Additionally, combining NK cell score with clinicopathological factors, including age at a diagnosis and AJCC T- and N-category, provided a powerful prognostic score for gastric cancer patients which was found to be consistent in multiple cohorts. Conclusions: Gastric cancer with high NK cell infiltration is associated with increased immune activity and lower stromal cell infiltration, potentially impacting patient prognosis. Combining clinicopathological factors with NK cell score provides a powerful tool for prognostication of gastric cancer patients.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
To this end, we utilized a LASSO Cox algorithm with several factors, including age at a diagnosis, AJCC-T and N category, and NK cell infiltration fraction.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:41607772
locator
sections[15] "A novel score including NK cell infiltration fraction and clinicopathologic features was a strong prognostic biomarker in various independent cohorts" paragraph 2
quote
To this end, we utilized a LASSO Cox algorithm with several factors, including age at a diagnosis, AJCC-T and N category, and NK cell infiltration fraction.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
Publicly available datasets were analyzed in this study. This data can be found here: The Cancer Genome Atlas (TCGA) and GSE84437 are all publicly available without any restrictions via cBioportal or Gene Expression Omnibus (GEO). The dataset of YCU cohort is available from the corresponding author on reasonable request.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:41607772
locator
sections[20] "Data availability statement" paragraph 2
quote
Publicly available datasets were analyzed in this study. This data can be found here: The Cancer Genome Atlas (TCGA) and GSE84437 are all publicly available without any restrictions via cBioportal or Gene Expression Omnibus (GEO). The dataset of YCU cohort is available from the corresponding author on reasonable request.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
Interestingly, we found that high novel score was significantly associated with worse overall survival of gastric cancer patients not only in GSE84437 cohort but also in the TCGA and YCU cohorts (Figure 5A, p < 0.001, p < 0.001, and p = 0.046, respectively).
kind
qualitative
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:41607772
locator
sections[15] "A novel score including NK cell infiltration fraction and clinicopathologic features was a strong prognostic biomarker in various independent cohorts" paragraph 4
quote
Interestingly, we found that high novel score was significantly associated with worse overall survival of gastric cancer patients not only in GSE84437 cohort but also in the TCGA and YCU cohorts (Figure 5A, p < 0.001, p < 0.001, and p = 0.046, respectively).
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
Interestingly, we found that high novel score was significantly associated with worse overall survival of gastric cancer patients not only in GSE84437 cohort but also in the TCGA and YCU cohorts (Figure 5A, p < 0.001, p < 0.001, and p = 0.046, respectively).
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:41607772
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:GSE150290
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:GSE150290
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 · 3 items
[0] object · 15 fields
id
source:pmid:41607772
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.3389/fimmu.2025.1760280
sha256
sha256:bf0f539399389872391c5df78b0cafb2f9acbd6a6a29efdc1536ec6faabab4de
bytes
33800
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.3389/fimmu.2025.1760280
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
PMC12835219
source
europe_pmc_fulltext
coverage
whole_body_without_references
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE150290
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=GSE150290
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE150290
version
null
note
Publicly available datasets were analyzed in this study. This data can be found here: The Cancer Genome Atlas (TCGA) and GSE84437 are all publicly available without any restrictions via cBioportal or Gene Expression Omnibus (GEO). The dataset of YCU cohort is available from the corresponding author on reasonable request.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Publicly available datasets were analyzed in this study. This data can be found here: The Cancer Genome Atlas (TCGA) and GSE84437 are all publicly available without any restrictions via cBioportal or Gene Expression Omnibus (GEO). The dataset of YCU cohort is available from the corresponding author on reasonable request.
access_statement_kind
data_availability_statement
sample_accessions array · 52 items
[0]
GSM4546300
[1]
GSM4546301
[2]
GSM4546302
[3]
GSM4546303
[4]
GSM4546304
[5]
GSM4546305
[6]
GSM4546306
[7]
GSM4546307
[8]
GSM4546308
[9]
GSM4546309
[10]
GSM4546310
[11]
GSM4546311
[12]
GSM4546312
[13]
GSM4546313
[14]
GSM4546314
[15]
GSM4546315
[16]
GSM4546316
[17]
GSM4546317
[18]
GSM4546318
[19]
GSM4546319
[20]
GSM4546320
[21]
GSM4546321
[22]
GSM4546322
[23]
GSM4546323
[24]
GSM4546324
[25]
GSM4546325
[26]
GSM4546326
[27]
GSM4546327
[28]
GSM4546328
[29]
GSM4546329
[30]
GSM4546330
[31]
GSM4546331
[32]
GSM4546332
[33]
GSM4546333
[34]
GSM4546334
[35]
GSM4546335
[36]
GSM4546336
[37]
GSM4546337
[38]
GSM4546338
[39]
GSM4546339
[40]
GSM4546340
[41]
GSM4546341
[42]
GSM4546342
[43]
GSM4546343
[44]
GSM4546344
[45]
GSM4546345
[46]
GSM4546346
[47]
GSM4546347
[48]
GSM4546348
[49]
GSM4546349
[50]
GSM4546350
[51]
GSM4546351
sample_count
52
group_sizes
null
group_sizes_basis
null
platform
16791
taxon
Homo sapiens
title
Characterization of heterogeneity in gastric cancer cells derived from independent lineages at single-cell resolution
resolution_checked_at
2026-11-01T20:16:08Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] 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
Publicly available datasets were analyzed in this study. This data can be found here: The Cancer Genome Atlas (TCGA) and GSE84437 are all publicly available without any restrictions via cBioportal or Gene Expression Omnibus (GEO). The dataset of YCU cohort is available from the corresponding author on reasonable request.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Publicly available datasets were analyzed in this study. This data can be found here: The Cancer Genome Atlas (TCGA) and GSE84437 are all publicly available without any restrictions via cBioportal or Gene Expression Omnibus (GEO). The dataset of YCU cohort is available from the corresponding author on reasonable request.
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 · 4 items
[0]
asset:data:geo:GSE150290 not downloaded
[1]
asset:data:geo:GSE150290 licence not read
[2]
asset:data:geo:GSE84437 not downloaded
[3]
asset:data:geo:GSE84437 licence not read
analysis object · 4 fields
state
partial
methods array · 1 item
[0] object · 10 fields
id
method-1
family
null
specific
null
label
LASSO Cox algorithm
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
To this end, we utilized a LASSO Cox algorithm with several factors, including age at a diagnosis, AJCC-T and N category, and NK cell infiltration fraction.
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
blocked
tier
R4
blocking_axis
method
blocked_on
method:not_determinable
axes object · 3 fields
method object · 5 fields
tier
R4
expressible
false
required_operations array · 0 items
missing_operations array · 0 items
basis
The reader quoted the method the paper names (LASSO Cox algorithm), but the corpus's method extractor could not map it onto a DSL operation, so the method is published but not expressible.
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 · 2 items
[0]
GSE84437
[1]
GSE150290
resolved_accessions array · 2 items
[0]
GSE84437
[1]
GSE150290
statements array · 1 item
[0]
Publicly available datasets were analyzed in this study. This data can be found here: The Cancer Genome Atlas (TCGA) and GSE84437 are all publicly available without any restrictions via cBioportal or Gene Expression Omnibus (GEO). The dataset of YCU cohort is available from the corresponding author on reasonable request.
basis
The paper names GSE84437, GSE150290 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 0 items
assets array · 2 items
[0]
source:pmid:41607772
[1]
data:geo:GSE150290
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:GSE150290
gaps array · 1 item
[0]
method:not_determinable
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
2026-11-01T20:11:44Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
8765
completion_tokens
2270
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:41607772
type
paper
label
pmid:41607772
[1] object · 3 fields
id
source:pmid:41607772
type
manuscript
label
PMID 41607772 full text
[2] object · 3 fields
id
data:geo:GSE150290
type
dataset
label
GEO GSE150290
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:41607772
type
paper
label
pmid:41607772
[1] object · 3 fields
id
source:pmid:41607772
type
manuscript
label
PMID 41607772 full text
[2] object · 3 fields
id
data:geo:GSE150290
type
dataset
label
GEO GSE150290
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-41607772
type
extraction
used array · 1 item
[0]
source:pmid:41607772
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE150290
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE150290
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:41607772
parent_hash
sha256:9c8e8d052161ee775e1f3de32f518b8e5f48a8147e86820d27eaccf5293151b2
fork_of
null
gaps array · 9 items
[0]
asset:data:geo:GSE150290 licence not read
[1]
asset:data:geo:GSE150290 not downloaded
[2]
asset:data:geo:GSE84437 licence not read
[3]
asset:data:geo:GSE84437 not downloaded
[4]
execution.not_run
[5]
method.reader_named_unmapped
[6]
review.human_critique
[7]
review.independent_reader
[8]
review.machine_critique
Complete file
{"sci_version": "1.0", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:41607772", "kind": "science-record", "revision": 2, "content_hash": "sha256:c213737a50cee1927534588e4db5fedecb18239b79952fe51f82ed44b20a20c9", "created_at": "2026-11-01T20:31:42Z", "updated_at": "2026-11-01T21:36:32Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Intra-tumoral NK cells and their association with patient outcomes: a novel prognostic model incorporating NK cells and clinicopathologic features in gastric cancer.", "doi": "10.3389/fimmu.2025.1760280", "pmid": "41607772", "authors": ["Masanori Oshi", "Yuko Tamura", "Rongrong Wu", "Colin J Rog", "Li Yan", "Kizuki Yuza", "Takashi Kosaka", "Hirotoshi Akiyama", "Takashi Ishikawa", "Kazuaki Takabe", "Itaru Endo"], "journal": "Frontiers in immunology", "year": 2025, "abstract": "Background: Natural killer (NK) cell infiltration has been implicated in the prognosis of gastric cancer patients. However, NK cell infiltration fraction has not yet been used routinely in clinical practice due to a lack of a measure for accurate quantification.\nMethods: NK cell infiltration fraction was quantified using a deconvolution tool and its clinical relevance was investigated in gastric cancer patients from our institution (Yokohama City University Hospital (YCU) and those present in publicly available cohorts with transcriptome data (TCGA, GSE84437 and GSE150290).\nResults: In the single cell sequencing cohort, the distribution of NK cells was similar to that of NK cell-related gene expression. High NK cell infiltration in gastric cancer correlated with enriched immune gene sets, such as IFN-α and IFN-γ responses, and also linked to increased cytolytic activity and low stromal cell infiltration along with higher mutation rates. Clinically, high NK cell infiltration was associated with better overall survival and improved response to neoadjuvant chemotherapy. Additionally, combining NK cell score with clinicopathological factors, including age at a diagnosis and AJCC T- and N-category, provided a powerful prognostic score for gastric cancer patients which was found to be consistent in multiple cohorts.\nConclusions: Gastric cancer with high NK cell infiltration is associated with increased immune activity and lower stromal cell infiltration, potentially impacting patient prognosis. Combining clinicopathological factors with NK cell score provides a powerful tool for prognostication of gastric cancer patients.", "claims": [{"id": "claim-method", "statement": "To this end, we utilized a LASSO Cox algorithm with several factors, including age at a diagnosis, AJCC-T and N category, and NK cell infiltration fraction.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41607772", "locator": "sections[15] \"A novel score including NK cell infiltration fraction and clinicopathologic features was a strong prognostic biomarker in various independent cohorts\" paragraph 2", "quote": "To this end, we utilized a LASSO Cox algorithm with several factors, including age at a diagnosis, AJCC-T and N category, and NK cell infiltration fraction."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Publicly available datasets were analyzed in this study. This data can be found here: The Cancer Genome Atlas (TCGA) and GSE84437 are all publicly available without any restrictions via cBioportal or Gene Expression Omnibus (GEO). The dataset of YCU cohort is available from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41607772", "locator": "sections[20] \"Data availability statement\" paragraph 2", "quote": "Publicly available datasets were analyzed in this study. This data can be found here: The Cancer Genome Atlas (TCGA) and GSE84437 are all publicly available without any restrictions via cBioportal or Gene Expression Omnibus (GEO). The dataset of YCU cohort is available from the corresponding author on reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Interestingly, we found that high novel score was significantly associated with worse overall survival of gastric cancer patients not only in GSE84437 cohort but also in the TCGA and YCU cohorts (Figure 5A, p < 0.001, p < 0.001, and p = 0.046, respectively).", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:41607772", "locator": "sections[15] \"A novel score including NK cell infiltration fraction and clinicopathologic features was a strong prognostic biomarker in various independent cohorts\" paragraph 4", "quote": "Interestingly, we found that high novel score was significantly associated with worse overall survival of gastric cancer patients not only in GSE84437 cohort but also in the TCGA and YCU cohorts (Figure 5A, p < 0.001, p < 0.001, and p = 0.046, respectively)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Interestingly, we found that high novel score was significantly associated with worse overall survival of gastric cancer patients not only in GSE84437 cohort but also in the TCGA and YCU cohorts (Figure 5A, p < 0.001, p < 0.001, and p = 0.046, respectively).", "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:41607772"], "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:GSE150290"], "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:GSE150290"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:41607772", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fimmu.2025.1760280", "sha256": "sha256:bf0f539399389872391c5df78b0cafb2f9acbd6a6a29efdc1536ec6faabab4de", "bytes": 33800, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fimmu.2025.1760280", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC12835219", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE150290", "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=GSE150290", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE150290", "version": null, "note": "Publicly available datasets were analyzed in this study. This data can be found here: The Cancer Genome Atlas (TCGA) and GSE84437 are all publicly available without any restrictions via cBioportal or Gene Expression Omnibus (GEO). The dataset of YCU cohort is available from the corresponding author on reasonable request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Publicly available datasets were analyzed in this study. This data can be found here: The Cancer Genome Atlas (TCGA) and GSE84437 are all publicly available without any restrictions via cBioportal or Gene Expression Omnibus (GEO). The dataset of YCU cohort is available from the corresponding author on reasonable request.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM4546300", "GSM4546301", "GSM4546302", "GSM4546303", "GSM4546304", "GSM4546305", "GSM4546306", "GSM4546307", "GSM4546308", "GSM4546309", "GSM4546310", "GSM4546311", "GSM4546312", "GSM4546313", "GSM4546314", "GSM4546315", "GSM4546316", "GSM4546317", "GSM4546318", "GSM4546319", "GSM4546320", "GSM4546321", "GSM4546322", "GSM4546323", "GSM4546324", "GSM4546325", "GSM4546326", "GSM4546327", "GSM4546328", "GSM4546329", "GSM4546330", "GSM4546331", "GSM4546332", "GSM4546333", "GSM4546334", "GSM4546335", "GSM4546336", "GSM4546337", "GSM4546338", "GSM4546339", "GSM4546340", "GSM4546341", "GSM4546342", "GSM4546343", "GSM4546344", "GSM4546345", "GSM4546346", "GSM4546347", "GSM4546348", "GSM4546349", "GSM4546350", "GSM4546351"], "sample_count": 52, "group_sizes": null, "group_sizes_basis": null, "platform": "16791", "taxon": "Homo sapiens", "title": "Characterization of heterogeneity in gastric cancer cells derived from independent lineages at single-cell resolution", "resolution_checked_at": "2026-11-01T20:16:08Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"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": "Publicly available datasets were analyzed in this study. This data can be found here: The Cancer Genome Atlas (TCGA) and GSE84437 are all publicly available without any restrictions via cBioportal or Gene Expression Omnibus (GEO). The dataset of YCU cohort is available from the corresponding author on reasonable request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Publicly available datasets were analyzed in this study. This data can be found here: The Cancer Genome Atlas (TCGA) and GSE84437 are all publicly available without any restrictions via cBioportal or Gene Expression Omnibus (GEO). The dataset of YCU cohort is available from the corresponding author on reasonable request.", "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:GSE150290 not downloaded", "asset:data:geo:GSE150290 licence not read", "asset:data:geo:GSE84437 not downloaded", "asset:data:geo:GSE84437 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": null, "specific": null, "label": "LASSO Cox algorithm", "dsl_operations": [], "missing_operations": [], "expressible": null, "parameters": {}, "data_shapes": [], "evidence": {"score": 1.0, "band": "verbatim", "quote": "To this end, we utilized a LASSO Cox algorithm with several factors, including age at a diagnosis, AJCC-T and N category, and NK cell infiltration fraction."}}], "targets": [], "gaps": ["method.reader_named_unmapped"]}, "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": "blocked", "tier": "R4", "blocking_axis": "method", "blocked_on": "method:not_determinable", "axes": {"method": {"tier": "R4", "expressible": false, "required_operations": [], "missing_operations": [], "basis": "The reader quoted the method the paper names (LASSO Cox algorithm), but the corpus's method extractor could not map it onto a DSL operation, so the method is published but not expressible."}, "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", "GSE150290"], "resolved_accessions": ["GSE84437", "GSE150290"], "statements": ["Publicly available datasets were analyzed in this study. This data can be found here: The Cancer Genome Atlas (TCGA) and GSE84437 are all publicly available without any restrictions via cBioportal or Gene Expression Omnibus (GEO). The dataset of YCU cohort is available from the corresponding author on reasonable request."], "basis": "The paper names GSE84437, GSE150290 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": [], "assets": ["source:pmid:41607772", "data:geo:GSE150290"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE150290"]}, "gaps": ["method:not_determinable"]}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T20:11:44Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 8765, "completion_tokens": 2270, "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:41607772", "type": "paper", "label": "pmid:41607772"}, {"id": "source:pmid:41607772", "type": "manuscript", "label": "PMID 41607772 full text"}, {"id": "data:geo:GSE150290", "type": "dataset", "label": "GEO GSE150290"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:41607772", "type": "paper", "label": "pmid:41607772"}, {"id": "source:pmid:41607772", "type": "manuscript", "label": "PMID 41607772 full text"}, {"id": "data:geo:GSE150290", "type": "dataset", "label": "GEO GSE150290"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-41607772", "type": "extraction", "used": ["source:pmid:41607772"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE150290", "type": "accession_resolution", "used": ["data:geo:GSE150290"], "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:41607772", "parent_hash": "sha256:9c8e8d052161ee775e1f3de32f518b8e5f48a8147e86820d27eaccf5293151b2", "fork_of": null, "generation": 1}, "gaps": ["asset:data:geo:GSE150290 licence not read", "asset:data:geo:GSE150290 not downloaded", "asset:data:geo:GSE84437 licence not read", "asset:data:geo:GSE84437 not downloaded", "execution.not_run", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique"]}