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

pmid:39507047

Role of CENPL, DARS2, and PAICS in determining the prognosis of patients with lung adenocarcinoma.

Rongjian Xu · Fengyi Han · Yandong Zhao · Ao Liu · Ning An · Baogang Wang · Patrick Zardo · José Sanz-Santos · Aimée J P M Franssen · Erik R de Loos · Min Zhao

Translational lung cancer research · 2024 doi:10.21037/tlcr-24-696

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:39507047
kind
science-record
content_hash
sha256:1d42fc8544ce82793a2d24634f35e70b5311afb16d6d0be303429a3db88348b9
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T20:29:45Z
updated_at
2026-11-01T22:55:33Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Role of CENPL, DARS2, and PAICS in determining the prognosis of patients with lung adenocarcinoma.
doi
10.21037/tlcr-24-696
pmid
39507047
authors array · 11 items
[0]
Rongjian Xu
[1]
Fengyi Han
[2]
Yandong Zhao
[3]
Ao Liu
[4]
Ning An
[5]
Baogang Wang
[6]
Patrick Zardo
[7]
José Sanz-Santos
[8]
Aimée J P M Franssen
[9]
Erik R de Loos
[10]
Min Zhao
journal
Translational lung cancer research
year
2024
abstract
Background: Non-small cell lung cancer (NSCLC) accounts for about 85% of lung cancers, and is the leading cause of tumor-related death. Lung adenocarcinoma (LUAD) is the most prevalent subtype of NSCLC. Although significant progress of LUAD treatment has been made under multimodal strategies, the prognosis of advanced LUAD is still poor due to recurrence and metastasis. There is still a lack of reliable markers to evaluate the LUAD prognosis. This study aims to explore novel biomarkers and construct a prognostic model to predict the prognosis of LUAD patients. Methods: The Genomic Data Commons-The Cancer Genome Atlas-Lung Adenocarcinoma (GDC-TCGA-LUAD) dataset was downloaded from the University of California, Santa Cruz (UCSC) Xena browser. The GSE72094 and GSE13213 datasets and corresponding clinical information were downloaded from the Gene Expression Omnibus (GEO) database. By analyzing these datasets using DESeq2 R package and Limma R package, differentially expressed genes (DEGs) were found. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were used to analyze possible enrichment pathways. A protein-protein interaction (PPI) network was constructed to explore possible relationship among DEGs by using the STRING database. A survival analysis was performed to identify reliable prognostic genes using the Kaplan-Meier method. A multi-omics analysis was performed using the Gene Set Cancer Analysis (GSCA). The Tumor Immune Estimation Score (TIMER) database was used to analyze the association between prognostic genes and immune infiltration. A Spearman correlation analysis was conducted to examine the correlation between prognostic genes and drug sensitivity. A multivariate Cox regression was used to identify independent prognostic factors. Next, a nomogram was constructed using the rms R package. Finally, the expressions of aspartyl-tRNA synthetase 2 (DARS2) and phosphoribosyl aminoimidazole carboxylase (PAICS) were detected using immunohistochemistry (IHC). Results: We screened out 30 DEGs prior to functional enrichment and PPI network analysis revealing potential enrichment pathways and interactions of these DEGs. Then survival analysis revealed the CENPL, DARS2, and PAICS expression was negatively correlated with LUAD prognosis. Additionally, multi-omics analysis showed CENPL, DARS2, and PAICS expressions were significantly higher in LUAD tissues than normal tissues. CENPL, DARS2, and PAICS were all up-regulated in late stage and M1 stage. Correlation analysis indicated CENPL, DARS2, and PAICS may not be associated with activation or suppression of immune cells. Drug sensitivity analysis revealed many potentially effective drugs and small molecule compounds. Moreover, we successfully constructed a robust and stable nomogram by combining the DARS2 and PAICS expression with other clinicopathological variables. Finally, IHC results showed DARS2 and PAICS were significantly up-regulated in LUAD. Conclusions: The CENPL, DARS2, and PAICS expression was negatively correlated with LUAD prognosis. A prognostic model, which integrated DARS2, PAICS, and other clinicopathological variables, was able to effectively predict LUAD patients prognosis.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
The Kaplan-Meier method was used for survival analysis.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:39507047
locator
sections[8] "Identification of key genes significantly associated with prognosis" paragraph 2
quote
The Kaplan-Meier method was used for survival analysis.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
Available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-24-696/dss
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:39507047
locator
sections[32] "Data Sharing Statement" paragraph 2
quote
Available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-24-696/dss
state
complete
[2] object · 6 fields
id
claim-target-result
statement
A prognostic model integrating DARS2, PAICS, and other clinicopathological variables effectively predicted prognosis in LUAD patients.
kind
qualitative
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:39507047
locator
sections[0] "Abstract" paragraph 4
quote
A prognostic model, which integrated DARS2, PAICS, and other clinicopathological variables, was able to effectively predict LUAD patients prognosis.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
A prognostic model integrating DARS2, PAICS, and other clinicopathological variables effectively predicted prognosis in LUAD patients.
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:39507047
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:GSE13213
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:GSE13213
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:39507047
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.21037/tlcr-24-696
sha256
sha256:146a61fd5c24c088c362b5a8b70a795459c75841a2673f1aa3df767f3258be32
bytes
45139
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.21037/tlcr-24-696
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
PMC11535832
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE13213
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=GSE13213
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE13213
version
null
note
Available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-24-696/dss
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-24-696/dss
access_statement_kind
data_availability_statement
sample_accessions array · 117 items
[0]
GSM333673
[1]
GSM333674
[2]
GSM333675
[3]
GSM333676
[4]
GSM333677
[5]
GSM333678
[6]
GSM333679
[7]
GSM333680
[8]
GSM333681
[9]
GSM333682
[10]
GSM333683
[11]
GSM333684
[12]
GSM333685
[13]
GSM333686
[14]
GSM333687
[15]
GSM333688
[16]
GSM333689
[17]
GSM333690
[18]
GSM333691
[19]
GSM333692
[20]
GSM333693
[21]
GSM333694
[22]
GSM333695
[23]
GSM333696
[24]
GSM333697
[25]
GSM333698
[26]
GSM333699
[27]
GSM333700
[28]
GSM333701
[29]
GSM333702
[30]
GSM333703
[31]
GSM333704
[32]
GSM333705
[33]
GSM333706
[34]
GSM333707
[35]
GSM333708
[36]
GSM333709
[37]
GSM333710
[38]
GSM333711
[39]
GSM333712
[40]
GSM333713
[41]
GSM333714
[42]
GSM333715
[43]
GSM333716
[44]
GSM333717
[45]
GSM333718
[46]
GSM333719
[47]
GSM333720
[48]
GSM333721
[49]
GSM333722
[50]
GSM333723
[51]
GSM333724
[52]
GSM333725
[53]
GSM333726
[54]
GSM333727
[55]
GSM333728
[56]
GSM333729
[57]
GSM333730
[58]
GSM333731
[59]
GSM333732
[60]
GSM333733
[61]
GSM333734
[62]
GSM333735
[63]
GSM333736
[64]
GSM333737
[65]
GSM333738
[66]
GSM333739
[67]
GSM333740
[68]
GSM333741
[69]
GSM333742
[70]
GSM333743
[71]
GSM333744
[72]
GSM333745
[73]
GSM333746
[74]
GSM333747
[75]
GSM333748
[76]
GSM333749
[77]
GSM333750
[78]
GSM333751
[79]
GSM333752
[80]
GSM333753
[81]
GSM333754
[82]
GSM333755
[83]
GSM333756
[84]
GSM333757
[85]
GSM333758
[86]
GSM333759
[87]
GSM333760
[88]
GSM333761
[89]
GSM333762
[90]
GSM333763
[91]
GSM333764
[92]
GSM333765
[93]
GSM333766
[94]
GSM333767
[95]
GSM333768
[96]
GSM333769
[97]
GSM333770
[98]
GSM333771
[99]
GSM333772
[100]
GSM333773
[101]
GSM333774
[102]
GSM333775
[103]
GSM333776
[104]
GSM333777
[105]
GSM333778
[106]
GSM333779
[107]
GSM333780
[108]
GSM333781
[109]
GSM333782
[110]
GSM333783
[111]
GSM333784
[112]
GSM333785
[113]
GSM333786
[114]
GSM333787
[115]
GSM333788
[116]
GSM333789
sample_count
117
group_sizes
null
group_sizes_basis
null
platform
6480
taxon
Homo sapiens
title
Relapse-related molecular signature in lung adenocarcinomas identifies patients with dismal prognosis
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 15 fields
id
data:geo:GSE72094
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE72094
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE72094
version
null
note
Available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-24-696/dss
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-24-696/dss
access_statement_kind
data_availability_statement
sample_accessions array · 442 items
[0]
GSM1854797
[1]
GSM1854798
[2]
GSM1854799
[3]
GSM1854800
[4]
GSM1854801
[5]
GSM1854802
[6]
GSM1854803
[7]
GSM1854804
[8]
GSM1854805
[9]
GSM1854806
[10]
GSM1854807
[11]
GSM1854808
[12]
GSM1854809
[13]
GSM1854810
[14]
GSM1854811
[15]
GSM1854812
[16]
GSM1854813
[17]
GSM1854814
[18]
GSM1854815
[19]
GSM1854816
[20]
GSM1854817
[21]
GSM1854818
[22]
GSM1854819
[23]
GSM1854820
[24]
GSM1854821
[25]
GSM1854822
[26]
GSM1854823
[27]
GSM1854824
[28]
GSM1854825
[29]
GSM1854826
[30]
GSM1854827
[31]
GSM1854828
[32]
GSM1854829
[33]
GSM1854830
[34]
GSM1854831
[35]
GSM1854832
[36]
GSM1854833
[37]
GSM1854834
[38]
GSM1854835
[39]
GSM1854836
[40]
GSM1854837
[41]
GSM1854838
[42]
GSM1854839
[43]
GSM1854840
[44]
GSM1854841
[45]
GSM1854842
[46]
GSM1854843
[47]
GSM1854844
[48]
GSM1854845
[49]
GSM1854846
[50]
GSM1854847
[51]
GSM1854848
[52]
GSM1854849
[53]
GSM1854850
[54]
GSM1854851
[55]
GSM1854852
[56]
GSM1854853
[57]
GSM1854854
[58]
GSM1854855
[59]
GSM1854856
[60]
GSM1854857
[61]
GSM1854858
[62]
GSM1854859
[63]
GSM1854860
[64]
GSM1854861
[65]
GSM1854862
[66]
GSM1854863
[67]
GSM1854864
[68]
GSM1854865
[69]
GSM1854866
[70]
GSM1854867
[71]
GSM1854868
[72]
GSM1854869
[73]
GSM1854870
[74]
GSM1854871
[75]
GSM1854872
[76]
GSM1854873
[77]
GSM1854874
[78]
GSM1854875
[79]
GSM1854876
[80]
GSM1854877
[81]
GSM1854878
[82]
GSM1854879
[83]
GSM1854880
[84]
GSM1854881
[85]
GSM1854882
[86]
GSM1854883
[87]
GSM1854884
[88]
GSM1854885
[89]
GSM1854886
[90]
GSM1854887
[91]
GSM1854888
[92]
GSM1854889
[93]
GSM1854890
[94]
GSM1854891
[95]
GSM1854892
[96]
GSM1854893
[97]
GSM1854894
[98]
GSM1854895
[99]
GSM1854896
[100]
GSM1854897
[101]
GSM1854898
[102]
GSM1854899
[103]
GSM1854900
[104]
GSM1854901
[105]
GSM1854902
[106]
GSM1854903
[107]
GSM1854904
[108]
GSM1854905
[109]
GSM1854906
[110]
GSM1854907
[111]
GSM1854908
[112]
GSM1854909
[113]
GSM1854910
[114]
GSM1854911
[115]
GSM1854912
[116]
GSM1854913
[117]
GSM1854914
[118]
GSM1854915
[119]
GSM1854916
[120]
GSM1854917
[121]
GSM1854918
[122]
GSM1854919
[123]
GSM1854920
[124]
GSM1854921
[125]
GSM1854922
[126]
GSM1854923
[127]
GSM1854924
[128]
GSM1854925
[129]
GSM1854926
[130]
GSM1854927
[131]
GSM1854928
[132]
GSM1854929
[133]
GSM1854930
[134]
GSM1854931
[135]
GSM1854932
[136]
GSM1854933
[137]
GSM1854934
[138]
GSM1854935
[139]
GSM1854936
[140]
GSM1854937
[141]
GSM1854938
[142]
GSM1854939
[143]
GSM1854940
[144]
GSM1854941
[145]
GSM1854942
[146]
GSM1854943
[147]
GSM1854944
[148]
GSM1854945
[149]
GSM1854946
[150]
GSM1854947
[151]
GSM1854948
[152]
GSM1854949
[153]
GSM1854950
[154]
GSM1854951
[155]
GSM1854952
[156]
GSM1854953
[157]
GSM1854954
[158]
GSM1854955
[159]
GSM1854956
[160]
GSM1854957
[161]
GSM1854958
[162]
GSM1854959
[163]
GSM1854960
[164]
GSM1854961
[165]
GSM1854962
[166]
GSM1854963
[167]
GSM1854964
[168]
GSM1854965
[169]
GSM1854966
[170]
GSM1854967
[171]
GSM1854968
[172]
GSM1854969
[173]
GSM1854970
[174]
GSM1854971
[175]
GSM1854972
[176]
GSM1854973
[177]
GSM1854974
[178]
GSM1854975
[179]
GSM1854976
[180]
GSM1854977
[181]
GSM1854978
[182]
GSM1854979
[183]
GSM1854980
[184]
GSM1854981
[185]
GSM1854982
[186]
GSM1854983
[187]
GSM1854984
[188]
GSM1854985
[189]
GSM1854986
[190]
GSM1854987
[191]
GSM1854988
[192]
GSM1854989
[193]
GSM1854990
[194]
GSM1854991
[195]
GSM1854992
[196]
GSM1854993
[197]
GSM1854994
[198]
GSM1854995
[199]
GSM1854996
[200]
GSM1854997
[201]
GSM1854998
[202]
GSM1854999
[203]
GSM1855000
[204]
GSM1855001
[205]
GSM1855002
[206]
GSM1855003
[207]
GSM1855004
[208]
GSM1855005
[209]
GSM1855006
[210]
GSM1855007
[211]
GSM1855008
[212]
GSM1855009
[213]
GSM1855010
[214]
GSM1855011
[215]
GSM1855012
[216]
GSM1855013
[217]
GSM1855014
[218]
GSM1855015
[219]
GSM1855016
[220]
GSM1855017
[221]
GSM1855018
[222]
GSM1855019
[223]
GSM1855020
[224]
GSM1855021
[225]
GSM1855022
[226]
GSM1855023
[227]
GSM1855024
[228]
GSM1855025
[229]
GSM1855026
[230]
GSM1855027
[231]
GSM1855028
[232]
GSM1855029
[233]
GSM1855030
[234]
GSM1855031
[235]
GSM1855032
[236]
GSM1855033
[237]
GSM1855034
[238]
GSM1855035
[239]
GSM1855036
[240]
GSM1855037
[241]
GSM1855038
[242]
GSM1855039
[243]
GSM1855040
[244]
GSM1855041
[245]
GSM1855042
[246]
GSM1855043
[247]
GSM1855044
[248]
GSM1855045
[249]
GSM1855046
[250]
GSM1855047
[251]
GSM1855048
[252]
GSM1855049
[253]
GSM1855050
[254]
GSM1855051
[255]
GSM1855052
[256]
GSM1855053
[257]
GSM1855054
[258]
GSM1855055
[259]
GSM1855056
[260]
GSM1855057
[261]
GSM1855058
[262]
GSM1855059
[263]
GSM1855060
[264]
GSM1855061
[265]
GSM1855062
[266]
GSM1855063
[267]
GSM1855064
[268]
GSM1855065
[269]
GSM1855066
[270]
GSM1855067
[271]
GSM1855068
[272]
GSM1855069
[273]
GSM1855070
[274]
GSM1855071
[275]
GSM1855072
[276]
GSM1855073
[277]
GSM1855074
[278]
GSM1855075
[279]
GSM1855076
[280]
GSM1855077
[281]
GSM1855078
[282]
GSM1855079
[283]
GSM1855080
[284]
GSM1855081
[285]
GSM1855082
[286]
GSM1855083
[287]
GSM1855084
[288]
GSM1855085
[289]
GSM1855086
[290]
GSM1855087
[291]
GSM1855088
[292]
GSM1855089
[293]
GSM1855090
[294]
GSM1855091
[295]
GSM1855092
[296]
GSM1855093
[297]
GSM1855094
[298]
GSM1855095
[299]
GSM1855096
[300]
GSM1855097
[301]
GSM1855098
[302]
GSM1855099
[303]
GSM1855100
[304]
GSM1855101
[305]
GSM1855102
[306]
GSM1855103
[307]
GSM1855104
[308]
GSM1855105
[309]
GSM1855106
[310]
GSM1855107
[311]
GSM1855108
[312]
GSM1855109
[313]
GSM1855110
[314]
GSM1855111
[315]
GSM1855112
[316]
GSM1855113
[317]
GSM1855114
[318]
GSM1855115
[319]
GSM1855116
[320]
GSM1855117
[321]
GSM1855118
[322]
GSM1855119
[323]
GSM1855120
[324]
GSM1855121
[325]
GSM1855122
[326]
GSM1855123
[327]
GSM1855124
[328]
GSM1855125
[329]
GSM1855126
[330]
GSM1855127
[331]
GSM1855128
[332]
GSM1855129
[333]
GSM1855130
[334]
GSM1855131
[335]
GSM1855132
[336]
GSM1855133
[337]
GSM1855134
[338]
GSM1855135
[339]
GSM1855136
[340]
GSM1855137
[341]
GSM1855138
[342]
GSM1855139
[343]
GSM1855140
[344]
GSM1855141
[345]
GSM1855142
[346]
GSM1855143
[347]
GSM1855144
[348]
GSM1855145
[349]
GSM1855146
[350]
GSM1855147
[351]
GSM1855148
[352]
GSM1855149
[353]
GSM1855150
[354]
GSM1855151
[355]
GSM1855152
[356]
GSM1855153
[357]
GSM1855154
[358]
GSM1855155
[359]
GSM1855156
[360]
GSM1855157
[361]
GSM1855158
[362]
GSM1855159
[363]
GSM1855160
[364]
GSM1855161
[365]
GSM1855162
[366]
GSM1855163
[367]
GSM1855164
[368]
GSM1855165
[369]
GSM1855166
[370]
GSM1855167
[371]
GSM1855168
[372]
GSM1855169
[373]
GSM1855170
[374]
GSM1855171
[375]
GSM1855172
[376]
GSM1855173
[377]
GSM1855174
[378]
GSM1855175
[379]
GSM1855176
[380]
GSM1855177
[381]
GSM1855178
[382]
GSM1855179
[383]
GSM1855180
[384]
GSM1855181
[385]
GSM1855182
[386]
GSM1855183
[387]
GSM1855184
[388]
GSM1855185
[389]
GSM1855186
[390]
GSM1855187
[391]
GSM1855188
[392]
GSM1855189
[393]
GSM1855190
[394]
GSM1855191
[395]
GSM1855192
[396]
GSM1855193
[397]
GSM1855194
[398]
GSM1855195
[399]
GSM1855196
[400]
GSM1855197
[401]
GSM1855198
[402]
GSM1855199
[403]
GSM1855200
[404]
GSM1855201
[405]
GSM1855202
[406]
GSM1855203
[407]
GSM1855204
[408]
GSM1855205
[409]
GSM1855206
[410]
GSM1855207
[411]
GSM1855208
[412]
GSM1855209
[413]
GSM1855210
[414]
GSM1855211
[415]
GSM1855212
[416]
GSM1855213
[417]
GSM1855214
[418]
GSM1855215
[419]
GSM1855216
[420]
GSM1855217
[421]
GSM1855218
[422]
GSM1855219
[423]
GSM1855220
[424]
GSM1855221
[425]
GSM1855222
[426]
GSM1855223
[427]
GSM1855224
[428]
GSM1855225
[429]
GSM1855226
[430]
GSM1855227
[431]
GSM1855228
[432]
GSM1855229
[433]
GSM1855230
[434]
GSM1855231
[435]
GSM1855232
[436]
GSM1855233
[437]
GSM1855234
[438]
GSM1855235
[439]
GSM1855236
[440]
GSM1855237
[441]
GSM1855238
sample_count
442
group_sizes
null
group_sizes_basis
null
platform
15048
taxon
Homo sapiens
title
KRAS mutation-associated gene expression, p53 and STK11 mutations, proliferation and immune surveillance in lung adenocarcinoma
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 4 items
[0]
asset:data:geo:GSE13213 not downloaded
[1]
asset:data:geo:GSE13213 licence not read
[2]
asset:data:geo:GSE72094 not downloaded
[3]
asset:data:geo:GSE72094 licence not read
analysis object · 4 fields
state
partial
methods array · 8 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
kaplan_meier
label
Survival analysis
dsl_operations array · 1 item
[0]
survival_km
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
verbatim
quote
The Kaplan-Meier method was used for survival analysis.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
mann_whitney
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_mann_whitney
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
Mann-Whitney
[2] object · 10 fields
id
method-3
family
group_comparison
specific
wilcoxon
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_wilcoxon
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
Wilcoxon
[3] object · 10 fields
id
method-4
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.7
band
medium
quote
Cox regression
[4] object · 10 fields
id
method-5
family
differential_expression
specific
deseq2
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
0.7
band
medium
quote
DESeq2
[5] object · 10 fields
id
method-6
family
differential_expression
specific
limma_voom
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
0.7
band
medium
quote
Limma
[6] object · 10 fields
id
method-7
family
correlation_analysis
specific
spearman
label
Correlation analysis
dsl_operations array · 1 item
[0]
spearman_rho
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
paired_numeric_columns
evidence object · 3 fields
score
0.7
band
medium
quote
Spearman correlation
[7] object · 10 fields
id
method-8
family
network_analysis
specific
ppi_network
label
Network / pathway analysis
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
protein-protein interaction
targets array · 0 items
gaps array · 1 item
[0]
method.reader_differs_from_extractor
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
survival_km
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: kaplan_meier.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 2 items
[0]
GSE72094
[1]
GSE13213
resolved_accessions array · 2 items
[0]
GSE72094
[1]
GSE13213
statements array · 1 item
[0]
Available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-24-696/dss
basis
The paper names GSE72094, GSE13213 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 · 1 item
[0]
survival_km
assets array · 2 items
[0]
source:pmid:39507047
[1]
data:geo:GSE13213
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:GSE13213
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
2026-11-01T19:37:43Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
13225
completion_tokens
2602
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:39507047
type
paper
label
pmid:39507047
[1] object · 3 fields
id
source:pmid:39507047
type
manuscript
label
PMID 39507047 full text
[2] object · 3 fields
id
data:geo:GSE13213
type
dataset
label
GEO GSE13213
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:39507047
type
paper
label
pmid:39507047
[1] object · 3 fields
id
source:pmid:39507047
type
manuscript
label
PMID 39507047 full text
[2] object · 3 fields
id
data:geo:GSE13213
type
dataset
label
GEO GSE13213
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-39507047
type
extraction
used array · 1 item
[0]
source:pmid:39507047
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE13213
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE13213
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:39507047
parent_hash
sha256:6f23c922ad81806ac1643ac6cafd11ab9c60fbc8ebbb4c04a0417ca9dbcc8637
fork_of
null
gaps array · 9 items
[0]
asset:data:geo:GSE13213 licence not read
[1]
asset:data:geo:GSE13213 not downloaded
[2]
asset:data:geo:GSE72094 licence not read
[3]
asset:data:geo:GSE72094 not downloaded
[4]
execution.not_run
[5]
method.reader_differs_from_extractor
[6]
review.human_critique
[7]
review.independent_reader
[8]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 3 items
[0]
zole carboxylase (PAICS) were detected using immunohistochemistry (IHC). Results: We screened out 30 DEGs prio
[1]
S) were detected using immunohistochemistry (IHC). Results: We screened out 30 DEGs prior to
[2]
ther clinicopathological variables. Finally, IHC results showed DARS2 and PAICS were signific
order_basis
paper_text_order:2048
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
survival_km
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The Kaplan-Meier method was used for survival analysis.
order_basis
consumes_earlier_output
id
assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:39507047", "kind": "science-record", "revision": 4, "content_hash": "sha256:1d42fc8544ce82793a2d24634f35e70b5311afb16d6d0be303429a3db88348b9", "created_at": "2026-11-01T20:29:45Z", "updated_at": "2026-11-01T22:55:33Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Role of CENPL, DARS2, and PAICS in determining the prognosis of patients with lung adenocarcinoma.", "doi": "10.21037/tlcr-24-696", "pmid": "39507047", "authors": ["Rongjian Xu", "Fengyi Han", "Yandong Zhao", "Ao Liu", "Ning An", "Baogang Wang", "Patrick Zardo", "José Sanz-Santos", "Aimée J P M Franssen", "Erik R de Loos", "Min Zhao"], "journal": "Translational lung cancer research", "year": 2024, "abstract": "Background: Non-small cell lung cancer (NSCLC) accounts for about 85% of lung cancers, and is the leading cause of tumor-related death. Lung adenocarcinoma (LUAD) is the most prevalent subtype of NSCLC. Although significant progress of LUAD treatment has been made under multimodal strategies, the prognosis of advanced LUAD is still poor due to recurrence and metastasis. There is still a lack of reliable markers to evaluate the LUAD prognosis. This study aims to explore novel biomarkers and construct a prognostic model to predict the prognosis of LUAD patients.\nMethods: The Genomic Data Commons-The Cancer Genome Atlas-Lung Adenocarcinoma (GDC-TCGA-LUAD) dataset was downloaded from the University of California, Santa Cruz (UCSC) Xena browser. The GSE72094 and GSE13213 datasets and corresponding clinical information were downloaded from the Gene Expression Omnibus (GEO) database. By analyzing these datasets using DESeq2 R package and Limma R package, differentially expressed genes (DEGs) were found. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were used to analyze possible enrichment pathways. A protein-protein interaction (PPI) network was constructed to explore possible relationship among DEGs by using the STRING database. A survival analysis was performed to identify reliable prognostic genes using the Kaplan-Meier method. A multi-omics analysis was performed using the Gene Set Cancer Analysis (GSCA). The Tumor Immune Estimation Score (TIMER) database was used to analyze the association between prognostic genes and immune infiltration. A Spearman correlation analysis was conducted to examine the correlation between prognostic genes and drug sensitivity. A multivariate Cox regression was used to identify independent prognostic factors. Next, a nomogram was constructed using the rms R package. Finally, the expressions of aspartyl-tRNA synthetase 2 (DARS2) and phosphoribosyl aminoimidazole carboxylase (PAICS) were detected using immunohistochemistry (IHC).\nResults: We screened out 30 DEGs prior to functional enrichment and PPI network analysis revealing potential enrichment pathways and interactions of these DEGs. Then survival analysis revealed the CENPL, DARS2, and PAICS expression was negatively correlated with LUAD prognosis. Additionally, multi-omics analysis showed CENPL, DARS2, and PAICS expressions were significantly higher in LUAD tissues than normal tissues. CENPL, DARS2, and PAICS were all up-regulated in late stage and M1 stage. Correlation analysis indicated CENPL, DARS2, and PAICS may not be associated with activation or suppression of immune cells. Drug sensitivity analysis revealed many potentially effective drugs and small molecule compounds. Moreover, we successfully constructed a robust and stable nomogram by combining the DARS2 and PAICS expression with other clinicopathological variables. Finally, IHC results showed DARS2 and PAICS were significantly up-regulated in LUAD.\nConclusions: The CENPL, DARS2, and PAICS expression was negatively correlated with LUAD prognosis. A prognostic model, which integrated DARS2, PAICS, and other clinicopathological variables, was able to effectively predict LUAD patients prognosis.", "claims": [{"id": "claim-method", "statement": "The Kaplan-Meier method was used for survival analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39507047", "locator": "sections[8] \"Identification of key genes significantly associated with prognosis\" paragraph 2", "quote": "The Kaplan-Meier method was used for survival analysis."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-24-696/dss", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39507047", "locator": "sections[32] \"Data Sharing Statement\" paragraph 2", "quote": "Available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-24-696/dss"}], "state": "complete"}, {"id": "claim-target-result", "statement": "A prognostic model integrating DARS2, PAICS, and other clinicopathological variables effectively predicted prognosis in LUAD patients.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:39507047", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "A prognostic model, which integrated DARS2, PAICS, and other clinicopathological variables, was able to effectively predict LUAD patients prognosis."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A prognostic model integrating DARS2, PAICS, and other clinicopathological variables effectively predicted prognosis in LUAD patients.", "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:39507047"], "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:GSE13213"], "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:GSE13213"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:39507047", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.21037/tlcr-24-696", "sha256": "sha256:146a61fd5c24c088c362b5a8b70a795459c75841a2673f1aa3df767f3258be32", "bytes": 45139, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.21037/tlcr-24-696", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC11535832", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE13213", "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=GSE13213", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE13213", "version": null, "note": "Available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-24-696/dss", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-24-696/dss", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM333673", "GSM333674", "GSM333675", "GSM333676", "GSM333677", "GSM333678", "GSM333679", "GSM333680", "GSM333681", "GSM333682", "GSM333683", "GSM333684", "GSM333685", "GSM333686", "GSM333687", "GSM333688", "GSM333689", "GSM333690", "GSM333691", "GSM333692", "GSM333693", "GSM333694", "GSM333695", "GSM333696", "GSM333697", "GSM333698", "GSM333699", "GSM333700", "GSM333701", "GSM333702", "GSM333703", "GSM333704", "GSM333705", "GSM333706", "GSM333707", "GSM333708", "GSM333709", "GSM333710", "GSM333711", "GSM333712", "GSM333713", "GSM333714", "GSM333715", "GSM333716", "GSM333717", "GSM333718", "GSM333719", "GSM333720", "GSM333721", "GSM333722", "GSM333723", "GSM333724", "GSM333725", "GSM333726", "GSM333727", "GSM333728", "GSM333729", "GSM333730", "GSM333731", "GSM333732", "GSM333733", "GSM333734", "GSM333735", "GSM333736", "GSM333737", "GSM333738", "GSM333739", "GSM333740", "GSM333741", "GSM333742", "GSM333743", "GSM333744", "GSM333745", "GSM333746", "GSM333747", "GSM333748", "GSM333749", "GSM333750", "GSM333751", "GSM333752", "GSM333753", "GSM333754", "GSM333755", "GSM333756", "GSM333757", "GSM333758", "GSM333759", "GSM333760", "GSM333761", "GSM333762", "GSM333763", "GSM333764", "GSM333765", "GSM333766", "GSM333767", "GSM333768", "GSM333769", "GSM333770", "GSM333771", "GSM333772", "GSM333773", "GSM333774", "GSM333775", "GSM333776", "GSM333777", "GSM333778", "GSM333779", "GSM333780", "GSM333781", "GSM333782", "GSM333783", "GSM333784", "GSM333785", "GSM333786", "GSM333787", "GSM333788", "GSM333789"], "sample_count": 117, "group_sizes": null, "group_sizes_basis": null, "platform": "6480", "taxon": "Homo sapiens", "title": "Relapse-related molecular signature in lung adenocarcinomas identifies patients with dismal prognosis", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE72094", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE72094", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE72094", "version": null, "note": "Available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-24-696/dss", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-24-696/dss", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1854797", "GSM1854798", "GSM1854799", "GSM1854800", "GSM1854801", "GSM1854802", "GSM1854803", "GSM1854804", "GSM1854805", "GSM1854806", "GSM1854807", "GSM1854808", "GSM1854809", "GSM1854810", "GSM1854811", "GSM1854812", "GSM1854813", "GSM1854814", "GSM1854815", "GSM1854816", "GSM1854817", "GSM1854818", "GSM1854819", "GSM1854820", "GSM1854821", "GSM1854822", "GSM1854823", "GSM1854824", "GSM1854825", "GSM1854826", "GSM1854827", "GSM1854828", "GSM1854829", "GSM1854830", "GSM1854831", "GSM1854832", "GSM1854833", "GSM1854834", "GSM1854835", "GSM1854836", "GSM1854837", "GSM1854838", "GSM1854839", "GSM1854840", "GSM1854841", "GSM1854842", "GSM1854843", "GSM1854844", "GSM1854845", "GSM1854846", "GSM1854847", "GSM1854848", "GSM1854849", "GSM1854850", "GSM1854851", "GSM1854852", "GSM1854853", "GSM1854854", "GSM1854855", "GSM1854856", "GSM1854857", "GSM1854858", "GSM1854859", "GSM1854860", "GSM1854861", "GSM1854862", "GSM1854863", "GSM1854864", "GSM1854865", "GSM1854866", "GSM1854867", "GSM1854868", "GSM1854869", "GSM1854870", "GSM1854871", "GSM1854872", "GSM1854873", "GSM1854874", "GSM1854875", "GSM1854876", "GSM1854877", "GSM1854878", "GSM1854879", "GSM1854880", "GSM1854881", "GSM1854882", "GSM1854883", "GSM1854884", "GSM1854885", "GSM1854886", "GSM1854887", "GSM1854888", "GSM1854889", "GSM1854890", "GSM1854891", "GSM1854892", "GSM1854893", "GSM1854894", "GSM1854895", "GSM1854896", "GSM1854897", "GSM1854898", "GSM1854899", "GSM1854900", "GSM1854901", "GSM1854902", "GSM1854903", "GSM1854904", "GSM1854905", "GSM1854906", "GSM1854907", "GSM1854908", "GSM1854909", "GSM1854910", "GSM1854911", "GSM1854912", "GSM1854913", "GSM1854914", "GSM1854915", "GSM1854916", "GSM1854917", "GSM1854918", "GSM1854919", "GSM1854920", "GSM1854921", "GSM1854922", "GSM1854923", "GSM1854924", "GSM1854925", "GSM1854926", "GSM1854927", "GSM1854928", "GSM1854929", "GSM1854930", "GSM1854931", "GSM1854932", "GSM1854933", "GSM1854934", "GSM1854935", "GSM1854936", "GSM1854937", "GSM1854938", "GSM1854939", "GSM1854940", "GSM1854941", "GSM1854942", "GSM1854943", "GSM1854944", "GSM1854945", "GSM1854946", "GSM1854947", "GSM1854948", "GSM1854949", "GSM1854950", "GSM1854951", "GSM1854952", "GSM1854953", "GSM1854954", "GSM1854955", "GSM1854956", "GSM1854957", "GSM1854958", "GSM1854959", "GSM1854960", "GSM1854961", "GSM1854962", "GSM1854963", "GSM1854964", "GSM1854965", "GSM1854966", "GSM1854967", "GSM1854968", "GSM1854969", "GSM1854970", "GSM1854971", "GSM1854972", "GSM1854973", "GSM1854974", "GSM1854975", "GSM1854976", "GSM1854977", "GSM1854978", "GSM1854979", "GSM1854980", "GSM1854981", "GSM1854982", "GSM1854983", "GSM1854984", "GSM1854985", "GSM1854986", "GSM1854987", "GSM1854988", "GSM1854989", "GSM1854990", "GSM1854991", "GSM1854992", "GSM1854993", "GSM1854994", "GSM1854995", "GSM1854996", "GSM1854997", "GSM1854998", "GSM1854999", "GSM1855000", "GSM1855001", "GSM1855002", "GSM1855003", "GSM1855004", "GSM1855005", "GSM1855006", "GSM1855007", "GSM1855008", "GSM1855009", "GSM1855010", "GSM1855011", "GSM1855012", "GSM1855013", "GSM1855014", "GSM1855015", "GSM1855016", "GSM1855017", "GSM1855018", "GSM1855019", "GSM1855020", "GSM1855021", "GSM1855022", "GSM1855023", "GSM1855024", "GSM1855025", "GSM1855026", "GSM1855027", "GSM1855028", "GSM1855029", "GSM1855030", "GSM1855031", "GSM1855032", "GSM1855033", "GSM1855034", "GSM1855035", "GSM1855036", "GSM1855037", "GSM1855038", "GSM1855039", "GSM1855040", "GSM1855041", "GSM1855042", "GSM1855043", "GSM1855044", "GSM1855045", "GSM1855046", "GSM1855047", "GSM1855048", "GSM1855049", "GSM1855050", "GSM1855051", "GSM1855052", "GSM1855053", "GSM1855054", "GSM1855055", "GSM1855056", "GSM1855057", "GSM1855058", "GSM1855059", "GSM1855060", "GSM1855061", "GSM1855062", "GSM1855063", "GSM1855064", "GSM1855065", "GSM1855066", "GSM1855067", "GSM1855068", "GSM1855069", "GSM1855070", "GSM1855071", "GSM1855072", "GSM1855073", "GSM1855074", "GSM1855075", "GSM1855076", "GSM1855077", "GSM1855078", "GSM1855079", "GSM1855080", "GSM1855081", "GSM1855082", "GSM1855083", "GSM1855084", "GSM1855085", "GSM1855086", "GSM1855087", "GSM1855088", "GSM1855089", "GSM1855090", "GSM1855091", "GSM1855092", "GSM1855093", "GSM1855094", "GSM1855095", "GSM1855096", "GSM1855097", "GSM1855098", "GSM1855099", "GSM1855100", "GSM1855101", "GSM1855102", "GSM1855103", "GSM1855104", "GSM1855105", "GSM1855106", "GSM1855107", "GSM1855108", "GSM1855109", "GSM1855110", "GSM1855111", "GSM1855112", "GSM1855113", "GSM1855114", "GSM1855115", "GSM1855116", "GSM1855117", "GSM1855118", "GSM1855119", "GSM1855120", "GSM1855121", "GSM1855122", "GSM1855123", "GSM1855124", "GSM1855125", "GSM1855126", "GSM1855127", "GSM1855128", "GSM1855129", "GSM1855130", "GSM1855131", "GSM1855132", "GSM1855133", "GSM1855134", "GSM1855135", "GSM1855136", "GSM1855137", "GSM1855138", "GSM1855139", "GSM1855140", "GSM1855141", "GSM1855142", "GSM1855143", "GSM1855144", "GSM1855145", "GSM1855146", "GSM1855147", "GSM1855148", "GSM1855149", "GSM1855150", "GSM1855151", "GSM1855152", "GSM1855153", "GSM1855154", "GSM1855155", "GSM1855156", "GSM1855157", "GSM1855158", "GSM1855159", "GSM1855160", "GSM1855161", "GSM1855162", "GSM1855163", "GSM1855164", "GSM1855165", "GSM1855166", "GSM1855167", "GSM1855168", "GSM1855169", "GSM1855170", "GSM1855171", "GSM1855172", "GSM1855173", "GSM1855174", "GSM1855175", "GSM1855176", "GSM1855177", "GSM1855178", "GSM1855179", "GSM1855180", "GSM1855181", "GSM1855182", "GSM1855183", "GSM1855184", "GSM1855185", "GSM1855186", "GSM1855187", "GSM1855188", "GSM1855189", "GSM1855190", "GSM1855191", "GSM1855192", "GSM1855193", "GSM1855194", "GSM1855195", "GSM1855196", "GSM1855197", "GSM1855198", "GSM1855199", "GSM1855200", "GSM1855201", "GSM1855202", "GSM1855203", "GSM1855204", "GSM1855205", "GSM1855206", "GSM1855207", "GSM1855208", "GSM1855209", "GSM1855210", "GSM1855211", "GSM1855212", "GSM1855213", "GSM1855214", "GSM1855215", "GSM1855216", "GSM1855217", "GSM1855218", "GSM1855219", "GSM1855220", "GSM1855221", "GSM1855222", "GSM1855223", "GSM1855224", "GSM1855225", "GSM1855226", "GSM1855227", "GSM1855228", "GSM1855229", "GSM1855230", "GSM1855231", "GSM1855232", "GSM1855233", "GSM1855234", "GSM1855235", "GSM1855236", "GSM1855237", "GSM1855238"], "sample_count": 442, "group_sizes": null, "group_sizes_basis": null, "platform": "15048", "taxon": "Homo sapiens", "title": "KRAS mutation-associated gene expression, p53 and STK11 mutations, proliferation and immune surveillance in lung adenocarcinoma", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE13213 not downloaded", "asset:data:geo:GSE13213 licence not read", "asset:data:geo:GSE72094 not downloaded", "asset:data:geo:GSE72094 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "survival_analysis", "specific": "kaplan_meier", "label": "Survival analysis", "dsl_operations": ["survival_km"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "The Kaplan-Meier method was used for survival analysis."}}, {"id": "method-2", "family": "group_comparison", "specific": "mann_whitney", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["group_comparison_mann_whitney"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "Mann-Whitney"}}, {"id": "method-3", "family": "group_comparison", "specific": "wilcoxon", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["group_comparison_wilcoxon"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "Wilcoxon"}}, {"id": "method-4", "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": 0.7, "band": "medium", "quote": "Cox regression"}}, {"id": "method-5", "family": "differential_expression", "specific": "deseq2", "label": "Differential expression analysis", "dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["count_matrix_with_condition"], "evidence": {"score": 0.7, "band": "medium", "quote": "DESeq2"}}, {"id": "method-6", "family": "differential_expression", "specific": "limma_voom", "label": "Differential expression analysis", "dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["count_matrix_with_condition"], "evidence": {"score": 0.7, "band": "medium", "quote": "Limma"}}, {"id": "method-7", "family": "correlation_analysis", "specific": "spearman", "label": "Correlation analysis", "dsl_operations": ["spearman_rho"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["paired_numeric_columns"], "evidence": {"score": 0.7, "band": "medium", "quote": "Spearman correlation"}}, {"id": "method-8", "family": "network_analysis", "specific": "ppi_network", "label": "Network / pathway analysis", "dsl_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.7, "band": "medium", "quote": "protein-protein interaction"}}], "targets": [], "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": ["survival_km"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: kaplan_meier."}, "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": ["GSE72094", "GSE13213"], "resolved_accessions": ["GSE72094", "GSE13213"], "statements": ["Available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-24-696/dss"], "basis": "The paper names GSE72094, GSE13213 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": ["survival_km"], "assets": ["source:pmid:39507047", "data:geo:GSE13213"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE13213"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T19:37:43Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 13225, "completion_tokens": 2602, "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:39507047", "type": "paper", "label": "pmid:39507047"}, {"id": "source:pmid:39507047", "type": "manuscript", "label": "PMID 39507047 full text"}, {"id": "data:geo:GSE13213", "type": "dataset", "label": "GEO GSE13213"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:39507047", "type": "paper", "label": "pmid:39507047"}, {"id": "source:pmid:39507047", "type": "manuscript", "label": "PMID 39507047 full text"}, {"id": "data:geo:GSE13213", "type": "dataset", "label": "GEO GSE13213"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-39507047", "type": "extraction", "used": ["source:pmid:39507047"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE13213", "type": "accession_resolution", "used": ["data:geo:GSE13213"], "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:39507047", "parent_hash": "sha256:6f23c922ad81806ac1643ac6cafd11ab9c60fbc8ebbb4c04a0417ca9dbcc8637", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE13213 licence not read", "asset:data:geo:GSE13213 not downloaded", "asset:data:geo:GSE72094 licence not read", "asset:data:geo:GSE72094 not downloaded", "execution.not_run", "method.reader_differs_from_extractor", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "ihc", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["zole carboxylase (PAICS) were detected using immunohistochemistry (IHC). Results: We screened out 30 DEGs prio", "S) were detected using immunohistochemistry (IHC). Results: We screened out 30 DEGs prior to", "ther clinicopathological variables. Finally, IHC results showed DARS2 and PAICS were signific"], "order_basis": "paper_text_order:2048", "id": "assay:1"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["survival_km"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["The Kaplan-Meier method was used for survival analysis."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}