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

pmid:32904605

AHNAK2 Is Associated with Poor Prognosis and Cell Migration in Lung Adenocarcinoma.

Shusen Zhang · Yuanyuan Lu · Lei Qi · Hongyan Wang · Zhihua Wang · Zhigang Cai

BioMed research international · 2020 doi:10.1155/2020/8571932

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:32904605
kind
science-record
content_hash
sha256:7e0c51da1e1dd9f6a2d162da7b42667724cd35c2672f23149063bea1ff189b8a
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:41:10Z
updated_at
2026-11-01T22:02:09Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
AHNAK2 Is Associated with Poor Prognosis and Cell Migration in Lung Adenocarcinoma.
doi
10.1155/2020/8571932
pmid
32904605
authors array · 6 items
[0]
Shusen Zhang
[1]
Yuanyuan Lu
[2]
Lei Qi
[3]
Hongyan Wang
[4]
Zhihua Wang
[5]
Zhigang Cai
journal
BioMed research international
year
2020
abstract
BACKGROUND: Lung adenocarcinoma (LUAD), as the main subtype of lung cancer, is one of the common causes of cancer-related deaths worldwide. The AHNAK family is correlated with cell structure and migration, cardiac calcium channel signaling, and tumor metastasis. Previous studies showed AHNAK2 could promote tumor progression and cell migration in melanoma and renal clear cell carcinoma. However, the role of AHNAK2 in LUAD remains unknown. METHODS: We examined the levels of AHNAK2 in pathological specimens and the database of Clinical Proteomic Tumor Analysis Consortium-Lung adenocarcinoma (CPTAC-LUAD), The Cancer Genome Atlas-Lung Adenocarcinoma (TCGA-LUAD), Gene Expression Omnibus dataset (GSE72094, GSE26939), and The Genotype-Tissue Expression (GTEx) of lung tissue samples. Univariate Cox regression, multivariate Cox regression, and Kaplan-Meier survival analysis were performed to reveal the relationship between AHNAK2 and prognosis. A nomogram was constructed to predict 2- or 3-year overall survival and validated via calibration curves, receiver operating characteristic (ROC) analysis, and decision curve analysis (DCA). Furthermore, Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were used to explore the functional role of AHNAK2 in lung adenocarcinoma. Finally, by transfecting siRNA, we examined the regulatory effect of AHNAK2 on cell migration. RESULTS: The expression of AHNAK2 was upregulated in tumor samples and correlated with poor prognosis in LUAD patients. Nomogram with AHNAK2 and clinical parameters showed a good prediction in overall survival (OS), especially the 2-year OS. In addition, functional analyses and wound healing assay suggested that AHNAK2 might be involved in the regulation of migration in LUAD. CONCLUSION: In summary, our study showed that AHNAK2 might be a novel biomarker in LUAD and revealed the potential mechanism of AHNAK2 in LUAD progression which could provide new insights for target therapy.
claims array · 2 items
[0] object · 6 fields
id
claim-method
statement
Kaplan–Meier analyses were performed to assess the role of AHNAK2 in predicting overall survival.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:32904605
locator
sections[5] "2.3. Survival and Prognosis" paragraph 2
quote
Kaplan–Meier analyses were performed to assess the role of AHNAK2 in predicting overall survival.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The data used to support the findings of this study are included within the article.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:32904605
locator
sections[21] "Data Availability" paragraph 2
quote
The data used to support the findings of this study are included within the article.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
null
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:32904605
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:GSE26939
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:GSE26939
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 · 6 items
[0] object · 15 fields
id
source:pmid:32904605
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1155/2020/8571932
sha256
sha256:c904898fc47954df5ae7452d059f7a27d9a9b82513d48858f154a1807834cb6f
bytes
37210
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1155/2020/8571932
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
PMC7456490
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE26939
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE26939
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE26939
version
null
note
The data used to support the findings of this study are included within the article.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The data used to support the findings of this study are included within the article.
access_statement_kind
data_availability_statement
sample_accessions array · 116 items
[0]
GSM663284
[1]
GSM663285
[2]
GSM663286
[3]
GSM663287
[4]
GSM663288
[5]
GSM663289
[6]
GSM663290
[7]
GSM663291
[8]
GSM663292
[9]
GSM663293
[10]
GSM663294
[11]
GSM663295
[12]
GSM663296
[13]
GSM663297
[14]
GSM663298
[15]
GSM663299
[16]
GSM663300
[17]
GSM663301
[18]
GSM663302
[19]
GSM663303
[20]
GSM663304
[21]
GSM663305
[22]
GSM663306
[23]
GSM663307
[24]
GSM663308
[25]
GSM663309
[26]
GSM663310
[27]
GSM663311
[28]
GSM663312
[29]
GSM663313
[30]
GSM663314
[31]
GSM663315
[32]
GSM663316
[33]
GSM663317
[34]
GSM663318
[35]
GSM663319
[36]
GSM663320
[37]
GSM663321
[38]
GSM663322
[39]
GSM663323
[40]
GSM663324
[41]
GSM663325
[42]
GSM663326
[43]
GSM663327
[44]
GSM663328
[45]
GSM663329
[46]
GSM663330
[47]
GSM663331
[48]
GSM663332
[49]
GSM663333
[50]
GSM663334
[51]
GSM663335
[52]
GSM663336
[53]
GSM663337
[54]
GSM663338
[55]
GSM663339
[56]
GSM663340
[57]
GSM663341
[58]
GSM663342
[59]
GSM663343
[60]
GSM663344
[61]
GSM663345
[62]
GSM663346
[63]
GSM663347
[64]
GSM663348
[65]
GSM663349
[66]
GSM663350
[67]
GSM663351
[68]
GSM663352
[69]
GSM663353
[70]
GSM663354
[71]
GSM663355
[72]
GSM663356
[73]
GSM663357
[74]
GSM663358
[75]
GSM663359
[76]
GSM663360
[77]
GSM663361
[78]
GSM663362
[79]
GSM663363
[80]
GSM663364
[81]
GSM663365
[82]
GSM663366
[83]
GSM663367
[84]
GSM663368
[85]
GSM663369
[86]
GSM663370
[87]
GSM663371
[88]
GSM663372
[89]
GSM663373
[90]
GSM663374
[91]
GSM663375
[92]
GSM663376
[93]
GSM663377
[94]
GSM663378
[95]
GSM663379
[96]
GSM663380
[97]
GSM663381
[98]
GSM663382
[99]
GSM663383
[100]
GSM663384
[101]
GSM663385
[102]
GSM663386
[103]
GSM663387
[104]
GSM663388
[105]
GSM663389
[106]
GSM663390
[107]
GSM663391
[108]
GSM663392
[109]
GSM663393
[110]
GSM663394
[111]
GSM663395
[112]
GSM663396
[113]
GSM663397
[114]
GSM663398
[115]
GSM663399
sample_count
116
group_sizes
null
group_sizes_basis
null
platform
9053
taxon
Homo sapiens
title
Human lung adenocarcinoma mRNA expression and gene mutations.
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[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
The data used to support the findings of this study are included within the article.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The data used to support the findings of this study are included within the article.
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
[3] object · 16 fields
id
asset:table:pmid:32904605:1
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:214214dc2c72d7f1b9138b9769e01e6b6bb3cb46143c359f6fa20461fc07ff8e
bytes
953
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[13]/table-wrap[1]#tab1
version
null
note
Survival status and clinicopathological parameters in ADC specimens.
structure object · 5 fields
pmcid
PMC7456490
section_index
13
section_title
3.1. AHNAK2 Upregulated in Lung Adenocarcinoma Samples and Associated with Poor Prognosis
row_count
23
column_count
5
table object · 8 fields
label
Table 1
caption
Survival status and clinicopathological parameters in ADC specimens.
rows array · 23 items
[0] array · 4 items
[0]
Characteristics
[1]
Total
[2]
Survival status
[3]
P value
[1] array · 2 items
[0]
Died, n = 46
[1]
Alive, n = 29
[2] array · 5 items
[0]
Gender
[1]
[2]
[3]
[4]
0.482
[3] array · 5 items
[0]
Female
[1]
37
[2]
21
[3]
16
[4]
[4] array · 5 items
[0]
Male
[1]
38
[2]
25
[3]
13
[4]
[5] array · 5 items
[0]
Age (years)
[1]
[2]
[3]
[4]
0.482
[6] array · 5 items
[0]
<60
[1]
37
[2]
21
[3]
16
[4]
[7] array · 5 items
[0]
≥60
[1]
38
[2]
25
[3]
13
[4]
[8] array · 5 items
[0]
Tumor size (cm)
[1]
[2]
[3]
[4]
1.000
[9] array · 5 items
[0]
≤3
[1]
23
[2]
14
[3]
9
[4]
[10] array · 5 items
[0]
>3
[1]
52
[2]
32
[3]
20
[4]
[11] array · 5 items
[0]
Lymph node metastasis
[1]
[2]
[3]
[4]
<0.001∗
[12] array · 5 items
[0]
Absent
[1]
37
[2]
15
[3]
22
[4]
[13] array · 5 items
[0]
Present
[1]
38
[2]
31
[3]
7
[4]
[14] array · 5 items
[0]
Distant metastases
[1]
[2]
[3]
[4]
0.078
[15] array · 5 items
[0]
Absent
[1]
65
[2]
37
[3]
28
[4]
[16] array · 5 items
[0]
Present
[1]
10
[2]
9
[3]
1
[4]
[17] array · 5 items
[0]
TNM stage
[1]
[2]
[3]
[4]
0.004∗
[18] array · 5 items
[0]
I-II
[1]
38
[2]
17
[3]
21
[4]
[19] array · 5 items
[0]
III-IV
[1]
37
[2]
29
[3]
8
[4]
[20] array · 5 items
[0]
AHNAK2 expression
[1]
[2]
[3]
[4]
0.017∗
[21] array · 5 items
[0]
Low
[1]
35
[2]
16
[3]
19
[4]
[22] array · 5 items
[0]
High
[1]
40
[2]
30
[3]
10
[4]
locator
section[13]/table-wrap[1]#tab1
[4] object · 16 fields
id
asset:table:pmid:32904605:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:1dd83b8fafa883ddec36e945d7c129a3c2f493786030b12372dcc20bd7aae87b
bytes
473
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[13]/table-wrap[2]#tab2
version
null
note
Contribution of various potential prognostic factors to survival by Cox regression analysis in ADC specimens.
structure object · 5 fields
pmcid
PMC7456490
section_index
13
section_title
3.1. AHNAK2 Upregulated in Lung Adenocarcinoma Samples and Associated with Poor Prognosis
row_count
4
column_count
4
table object · 8 fields
label
Table 2
caption
Contribution of various potential prognostic factors to survival by Cox regression analysis in ADC specimens.
rows array · 4 items
[0] array · 4 items
[0]
[1]
Hazard ratio
[2]
95% confidence interval
[3]
P value
[1] array · 4 items
[0]
Lymph node metastasis
[1]
0.446
[2]
0.214-0.928
[3]
0.031∗
[2] array · 4 items
[0]
TNM stage
[1]
2.028
[2]
0.993-4.143
[3]
0.052
[3] array · 4 items
[0]
AHNAK2 expression
[1]
2.405
[2]
1.300-4.451
[3]
0.005∗
locator
section[13]/table-wrap[2]#tab2
[5] object · 16 fields
id
asset:table:pmid:32904605:3
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:646807feaae60c0d7f4f478dea2f6dc2d3d4d1157dde81a9e5853d133cd9f916
bytes
1326
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[13]/table-wrap[3]#tab3
version
null
note
Univariate and multivariate Cox regression showed AHNAK2 could be an independent prognostic indicator.
structure object · 5 fields
pmcid
PMC7456490
section_index
13
section_title
3.1. AHNAK2 Upregulated in Lung Adenocarcinoma Samples and Associated with Poor Prognosis
row_count
13
column_count
10
table object · 8 fields
label
Table 3
caption
Univariate and multivariate Cox regression showed AHNAK2 could be an independent prognostic indicator.
rows array · 13 items
[0] array · 4 items
[0]
[1]
TCGA-LUAD (n = 469)
[2]
GSE72094 (n = 385)
[3]
GSE26939 (n = 98)
[1] array · 9 items
[0]
HR
[1]
95% CI
[2]
P value
[3]
HR
[4]
95% CI
[5]
P value
[6]
HR
[7]
95% CI
[8]
P value
[2] array · 10 items
[0]
Univariate
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[3] array · 10 items
[0]
Age
[1]
1.006
[2]
0.990-1.023
[3]
0.449
[4]
1.497
[5]
1.028-2.181
[6]
0.035∗
[7]
1.023
[8]
0.997-1.049
[9]
0.085
[4] array · 10 items
[0]
Gender
[1]
1.032
[2]
0.752-1.416
[3]
0.845
[4]
1.009
[5]
0.989-1.029
[6]
0.389
[7]
1.67
[8]
0.982-2.838
[9]
0.058
[5] array · 10 items
[0]
Stage
[1]
1.693
[2]
1.464-1.957
[3]
<0.001∗
[4]
1.653
[5]
1.383-1.976
[6]
<0.001∗
[7]
1.317
[8]
0.984-1.764
[9]
0.064
[6] array · 10 items
[0]
AHNAK2
[1]
1.038
[2]
1.022-1.054
[3]
<0.001∗
[4]
1.251
[5]
1.083-1.445
[6]
0.002∗
[7]
1.147
[8]
1.034-1.273
[9]
0.009∗
[7] array · 1 item
[0]
[8] array · 10 items
[0]
Multivariate
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[9] array · 10 items
[0]
Age
[1]
1.008
[2]
0.993-1.024
[3]
0.292
[4]
1.614
[5]
1.097-2.375
[6]
0.015∗
[7]
1.024
[8]
0.996-1.053
[9]
0.093
[10] array · 10 items
[0]
Gender
[1]
0.93
[2]
0.674-1.282
[3]
0.656
[4]
1.004
[5]
0.984-1.024
[6]
0.716
[7]
1.358
[8]
0.779-2.367
[9]
0.281
[11] array · 10 items
[0]
Stage
[1]
1.695
[2]
1.462-1.966
[3]
<0.001∗
[4]
1.694
[5]
1.408-2.038
[6]
<0.001∗
[7]
1.337
[8]
0.977-1.83
[9]
0.069
[12] array · 10 items
[0]
AHNAK2
[1]
1.038
[2]
1.020-1.056
[3]
<0.001∗
[4]
1.207
[5]
1.050-1.387
[6]
0.008∗
[7]
1.135
[8]
1.028-1.253
[9]
0.012∗
locator
section[13]/table-wrap[3]#tab3
gaps array · 4 items
[0]
asset:data:geo:GSE26939 not downloaded
[1]
asset:data:geo:GSE26939 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 · 5 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
kaplan_meier
label
Survival analysis
dsl_operations array · 1 item
[0]
survival_km
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.7
band
medium
quote
Kaplan-Meier
[1] object · 10 fields
id
method-2
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
[2] object · 10 fields
id
method-3
family
correlation_analysis
specific
pearson
label
Correlation analysis
dsl_operations array · 1 item
[0]
pearson_r
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
paired_numeric_columns
evidence object · 3 fields
score
0.8
band
high
quote
Pearson correlation
[3] object · 10 fields
id
method-4
family
model_calibration
specific
decision_curve
label
Model calibration / clinical utility
dsl_operations array · 2 items
[0]
calibration_bins
[1]
net_benefit
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
predictions_and_outcomes
evidence object · 3 fields
score
0.7
band
medium
quote
decision curve analysis
[4] object · 10 fields
id
method-5
family
null
specific
null
label
Kaplan–Meier survival analysis using ADC patient data from TCGA-LUAD, GSE72094, and GSE26939
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
Kaplan–Meier analyses were performed to assess the role of AHNAK2 in predicting overall survival.
targets array · 0 items
gaps array · 1 item
[0]
method.reader_named_unmapped
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
survival_km
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: kaplan_meier.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 2 items
[0]
GSE72094
[1]
GSE26939
resolved_accessions array · 2 items
[0]
GSE72094
[1]
GSE26939
statements array · 1 item
[0]
The data used to support the findings of this study are included within the article.
basis
The paper names GSE72094, GSE26939 in Gene Expression Omnibus 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 · 5 items
[0]
source:pmid:32904605
[1]
data:geo:GSE26939
[2]
asset:table:pmid:32904605:1
[3]
asset:table:pmid:32904605:2
[4]
asset:table:pmid:32904605:3
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:GSE26939
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
2026-10-31T18:22:30Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
31431
completion_tokens
2555
cached_tokens
792
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:32904605
type
paper
label
pmid:32904605
[1] object · 3 fields
id
source:pmid:32904605
type
manuscript
label
PMID 32904605 full text
[2] object · 3 fields
id
data:geo:GSE26939
type
dataset
label
GEO GSE26939
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:32904605
type
paper
label
pmid:32904605
[1] object · 3 fields
id
source:pmid:32904605
type
manuscript
label
PMID 32904605 full text
[2] object · 3 fields
id
data:geo:GSE26939
type
dataset
label
GEO GSE26939
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-32904605
type
extraction
used array · 1 item
[0]
source:pmid:32904605
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE26939
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE26939
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:32904605
parent_hash
sha256:18ca6fa40ac9e28c6684cea07918be23baef02cfe51b75c189acb451eafefea6
fork_of
null
gaps array · 9 items
[0]
asset:data:geo:GSE26939 licence not read
[1]
asset:data:geo:GSE26939 not downloaded
[2]
asset:data:geo:GSE72094 licence not read
[3]
asset:data:geo:GSE72094 not downloaded
[4]
execution.not_run
[5]
method.reader_named_unmapped
[6]
review.human_critique
[7]
review.independent_reader
[8]
review.machine_critique
assays array · 5 items
[0] object · 11 fields
role
data_generation
definition_id
transfection
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 4 items
[0]
ung adenocarcinoma. Finally, by transfecting siRNA, we examined the regulatory effect of AHNAK2
[1]
Materials and Methods 2.6. Cell Culture and Transfection The ADC cell line (A549) was purchased from
[2]
ere cultured continuously for 48 hours after transfection. 3.1. AHNAK2 Upregulated in Lung Adenocarcin
[3]
40 that contains 10% fetal bovine serum. The siRNA sequences targeting AHNAK2 are as follows: 5
order_basis
paper_text_order:1380
id
assay:1
[1] object · 11 fields
role
data_generation
definition_id
cell_culture
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
ife Science & Technology Co., Ltd. The cells cultured in a humidified chamber containing 5% CO2 at 37
[1]
Culture and Transfection The ADC cell line (A549) was purchased from Procell Life Science & T
order_basis
paper_text_order:2117
id
assay:2
[2] object · 11 fields
role
data_generation
definition_id
microarray
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
LUAD, we analyzed 80 samples from the tissue microarray. Among them, 5 cases were removed from the s
order_basis
paper_text_order:2857
id
assay:3
[3] 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 · 2 items
[0]
0.001, Figure 1(c)). Several representative immunohistochemically stained specimens were shown in Figure 1(b).
[1]
h the multivariate Cox regression (Table 2). Immunohistochemical analysis of the expression of AHNAK2 in LUAD
order_basis
paper_text_order:3433
id
assay:4
[4] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
survival_km
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Kaplan-Meier
order_basis
consumes_earlier_output
id
assay:5
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32904605", "kind": "science-record", "revision": 7, "content_hash": "sha256:7e0c51da1e1dd9f6a2d162da7b42667724cd35c2672f23149063bea1ff189b8a", "created_at": "2026-11-01T15:41:10Z", "updated_at": "2026-11-01T22:02:09Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "AHNAK2 Is Associated with Poor Prognosis and Cell Migration in Lung Adenocarcinoma.", "doi": "10.1155/2020/8571932", "pmid": "32904605", "authors": ["Shusen Zhang", "Yuanyuan Lu", "Lei Qi", "Hongyan Wang", "Zhihua Wang", "Zhigang Cai"], "journal": "BioMed research international", "year": 2020, "abstract": "BACKGROUND: Lung adenocarcinoma (LUAD), as the main subtype of lung cancer, is one of the common causes of cancer-related deaths worldwide. The AHNAK family is correlated with cell structure and migration, cardiac calcium channel signaling, and tumor metastasis. Previous studies showed AHNAK2 could promote tumor progression and cell migration in melanoma and renal clear cell carcinoma. However, the role of AHNAK2 in LUAD remains unknown.\nMETHODS: We examined the levels of AHNAK2 in pathological specimens and the database of Clinical Proteomic Tumor Analysis Consortium-Lung adenocarcinoma (CPTAC-LUAD), The Cancer Genome Atlas-Lung Adenocarcinoma (TCGA-LUAD), Gene Expression Omnibus dataset (GSE72094, GSE26939), and The Genotype-Tissue Expression (GTEx) of lung tissue samples. Univariate Cox regression, multivariate Cox regression, and Kaplan-Meier survival analysis were performed to reveal the relationship between AHNAK2 and prognosis. A nomogram was constructed to predict 2- or 3-year overall survival and validated via calibration curves, receiver operating characteristic (ROC) analysis, and decision curve analysis (DCA). Furthermore, Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were used to explore the functional role of AHNAK2 in lung adenocarcinoma. Finally, by transfecting siRNA, we examined the regulatory effect of AHNAK2 on cell migration.\nRESULTS: The expression of AHNAK2 was upregulated in tumor samples and correlated with poor prognosis in LUAD patients. Nomogram with AHNAK2 and clinical parameters showed a good prediction in overall survival (OS), especially the 2-year OS. In addition, functional analyses and wound healing assay suggested that AHNAK2 might be involved in the regulation of migration in LUAD.\nCONCLUSION: In summary, our study showed that AHNAK2 might be a novel biomarker in LUAD and revealed the potential mechanism of AHNAK2 in LUAD progression which could provide new insights for target therapy.", "claims": [{"id": "claim-method", "statement": "Kaplan–Meier analyses were performed to assess the role of AHNAK2 in predicting overall survival.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32904605", "locator": "sections[5] \"2.3. Survival and Prognosis\" paragraph 2", "quote": "Kaplan–Meier analyses were performed to assess the role of AHNAK2 in predicting overall survival."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data used to support the findings of this study are included within the article.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32904605", "locator": "sections[21] \"Data Availability\" paragraph 2", "quote": "The data used to support the findings of this study are included within the article."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "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:32904605"], "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:GSE26939"], "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:GSE26939"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:32904605", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1155/2020/8571932", "sha256": "sha256:c904898fc47954df5ae7452d059f7a27d9a9b82513d48858f154a1807834cb6f", "bytes": 37210, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1155/2020/8571932", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7456490", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE26939", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE26939", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE26939", "version": null, "note": "The data used to support the findings of this study are included within the article.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The data used to support the findings of this study are included within the article.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM663284", "GSM663285", "GSM663286", "GSM663287", "GSM663288", "GSM663289", "GSM663290", "GSM663291", "GSM663292", "GSM663293", "GSM663294", "GSM663295", "GSM663296", "GSM663297", "GSM663298", "GSM663299", "GSM663300", "GSM663301", "GSM663302", "GSM663303", "GSM663304", "GSM663305", "GSM663306", "GSM663307", "GSM663308", "GSM663309", "GSM663310", "GSM663311", "GSM663312", "GSM663313", "GSM663314", "GSM663315", "GSM663316", "GSM663317", "GSM663318", "GSM663319", "GSM663320", "GSM663321", "GSM663322", "GSM663323", "GSM663324", "GSM663325", "GSM663326", "GSM663327", "GSM663328", "GSM663329", "GSM663330", "GSM663331", "GSM663332", "GSM663333", "GSM663334", "GSM663335", "GSM663336", "GSM663337", "GSM663338", "GSM663339", "GSM663340", "GSM663341", "GSM663342", "GSM663343", "GSM663344", "GSM663345", "GSM663346", "GSM663347", "GSM663348", "GSM663349", "GSM663350", "GSM663351", "GSM663352", "GSM663353", "GSM663354", "GSM663355", "GSM663356", "GSM663357", "GSM663358", "GSM663359", "GSM663360", "GSM663361", "GSM663362", "GSM663363", "GSM663364", "GSM663365", "GSM663366", "GSM663367", "GSM663368", "GSM663369", "GSM663370", "GSM663371", "GSM663372", "GSM663373", "GSM663374", "GSM663375", "GSM663376", "GSM663377", "GSM663378", "GSM663379", "GSM663380", "GSM663381", "GSM663382", "GSM663383", "GSM663384", "GSM663385", "GSM663386", "GSM663387", "GSM663388", "GSM663389", "GSM663390", "GSM663391", "GSM663392", "GSM663393", "GSM663394", "GSM663395", "GSM663396", "GSM663397", "GSM663398", "GSM663399"], "sample_count": 116, "group_sizes": null, "group_sizes_basis": null, "platform": "9053", "taxon": "Homo sapiens", "title": "Human lung adenocarcinoma mRNA expression and gene mutations.", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE72094", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE72094", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE72094", "version": null, "note": "The data used to support the findings of this study are included within the article.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The data used to support the findings of this study are included within the article.", "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}}, {"id": "asset:table:pmid:32904605:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:214214dc2c72d7f1b9138b9769e01e6b6bb3cb46143c359f6fa20461fc07ff8e", "bytes": 953, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[13]/table-wrap[1]#tab1", "version": null, "note": "Survival status and clinicopathological parameters in ADC specimens.", "structure": {"pmcid": "PMC7456490", "section_index": 13, "section_title": "3.1. AHNAK2 Upregulated in Lung Adenocarcinoma Samples and Associated with Poor Prognosis", "row_count": 23, "column_count": 5}, "table": {"label": "Table 1", "caption": "Survival status and clinicopathological parameters in ADC specimens.", "rows": [["Characteristics", "Total", "Survival status", "P value"], ["Died, n = 46", "Alive, n = 29"], ["Gender", "", "", "", "0.482"], ["Female", "37", "21", "16", ""], ["Male", "38", "25", "13", ""], ["Age (years)", "", "", "", "0.482"], ["<60", "37", "21", "16", ""], ["≥60", "38", "25", "13", ""], ["Tumor size (cm)", "", "", "", "1.000"], ["≤3", "23", "14", "9", ""], [">3", "52", "32", "20", ""], ["Lymph node metastasis", "", "", "", "<0.001∗"], ["Absent", "37", "15", "22", ""], ["Present", "38", "31", "7", ""], ["Distant metastases", "", "", "", "0.078"], ["Absent", "65", "37", "28", ""], ["Present", "10", "9", "1", ""], ["TNM stage", "", "", "", "0.004∗"], ["I-II", "38", "17", "21", ""], ["III-IV", "37", "29", "8", ""], ["AHNAK2 expression", "", "", "", "0.017∗"], ["Low", "35", "16", "19", ""], ["High", "40", "30", "10", ""]], "row_count": 23, "column_count": 5, "numeric_cells": 55, "header_rows": 2, "locator": "section[13]/table-wrap[1]#tab1"}}, {"id": "asset:table:pmid:32904605:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:1dd83b8fafa883ddec36e945d7c129a3c2f493786030b12372dcc20bd7aae87b", "bytes": 473, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[13]/table-wrap[2]#tab2", "version": null, "note": "Contribution of various potential prognostic factors to survival by Cox regression analysis in ADC specimens.", "structure": {"pmcid": "PMC7456490", "section_index": 13, "section_title": "3.1. AHNAK2 Upregulated in Lung Adenocarcinoma Samples and Associated with Poor Prognosis", "row_count": 4, "column_count": 4}, "table": {"label": "Table 2", "caption": "Contribution of various potential prognostic factors to survival by Cox regression analysis in ADC specimens.", "rows": [["", "Hazard ratio", "95% confidence interval", "P value"], ["Lymph node metastasis", "0.446", "0.214-0.928", "0.031∗"], ["TNM stage", "2.028", "0.993-4.143", "0.052"], ["AHNAK2 expression", "2.405", "1.300-4.451", "0.005∗"]], "row_count": 4, "column_count": 4, "numeric_cells": 10, "header_rows": 1, "locator": "section[13]/table-wrap[2]#tab2"}}, {"id": "asset:table:pmid:32904605:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:646807feaae60c0d7f4f478dea2f6dc2d3d4d1157dde81a9e5853d133cd9f916", "bytes": 1326, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[13]/table-wrap[3]#tab3", "version": null, "note": "Univariate and multivariate Cox regression showed AHNAK2 could be an independent prognostic indicator.", "structure": {"pmcid": "PMC7456490", "section_index": 13, "section_title": "3.1. AHNAK2 Upregulated in Lung Adenocarcinoma Samples and Associated with Poor Prognosis", "row_count": 13, "column_count": 10}, "table": {"label": "Table 3", "caption": "Univariate and multivariate Cox regression showed AHNAK2 could be an independent prognostic indicator.", "rows": [["", "TCGA-LUAD (n = 469)", "GSE72094 (n = 385)", "GSE26939 (n = 98)"], ["HR", "95% CI", "P value", "HR", "95% CI", "P value", "HR", "95% CI", "P value"], ["Univariate", "", "", "", "", "", "", "", "", ""], ["Age", "1.006", "0.990-1.023", "0.449", "1.497", "1.028-2.181", "0.035∗", "1.023", "0.997-1.049", "0.085"], ["Gender", "1.032", "0.752-1.416", "0.845", "1.009", "0.989-1.029", "0.389", "1.67", "0.982-2.838", "0.058"], ["Stage", "1.693", "1.464-1.957", "<0.001∗", "1.653", "1.383-1.976", "<0.001∗", "1.317", "0.984-1.764", "0.064"], ["AHNAK2", "1.038", "1.022-1.054", "<0.001∗", "1.251", "1.083-1.445", "0.002∗", "1.147", "1.034-1.273", "0.009∗"], [""], ["Multivariate", "", "", "", "", "", "", "", "", ""], ["Age", "1.008", "0.993-1.024", "0.292", "1.614", "1.097-2.375", "0.015∗", "1.024", "0.996-1.053", "0.093"], ["Gender", "0.93", "0.674-1.282", "0.656", "1.004", "0.984-1.024", "0.716", "1.358", "0.779-2.367", "0.281"], ["Stage", "1.695", "1.462-1.966", "<0.001∗", "1.694", "1.408-2.038", "<0.001∗", "1.337", "0.977-1.83", "0.069"], ["AHNAK2", "1.038", "1.020-1.056", "<0.001∗", "1.207", "1.050-1.387", "0.008∗", "1.135", "1.028-1.253", "0.012∗"]], "row_count": 13, "column_count": 10, "numeric_cells": 78, "header_rows": 2, "locator": "section[13]/table-wrap[3]#tab3"}}], "gaps": ["asset:data:geo:GSE26939 not downloaded", "asset:data:geo:GSE26939 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": 0.7, "band": "medium", "quote": "Kaplan-Meier"}}, {"id": "method-2", "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-3", "family": "correlation_analysis", "specific": "pearson", "label": "Correlation analysis", "dsl_operations": ["pearson_r"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["paired_numeric_columns"], "evidence": {"score": 0.8, "band": "high", "quote": "Pearson correlation"}}, {"id": "method-4", "family": "model_calibration", "specific": "decision_curve", "label": "Model calibration / clinical utility", "dsl_operations": ["calibration_bins", "net_benefit"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["predictions_and_outcomes"], "evidence": {"score": 0.7, "band": "medium", "quote": "decision curve analysis"}}, {"id": "method-5", "family": null, "specific": null, "label": "Kaplan–Meier survival analysis using ADC patient data from TCGA-LUAD, GSE72094, and GSE26939", "dsl_operations": [], "missing_operations": [], "expressible": null, "parameters": {}, "data_shapes": [], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Kaplan–Meier analyses were performed to assess the role of AHNAK2 in predicting overall survival."}}], "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": "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", "GSE26939"], "resolved_accessions": ["GSE72094", "GSE26939"], "statements": ["The data used to support the findings of this study are included within the article."], "basis": "The paper names GSE72094, GSE26939 in Gene Expression Omnibus 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:32904605", "data:geo:GSE26939", "asset:table:pmid:32904605:1", "asset:table:pmid:32904605:2", "asset:table:pmid:32904605:3"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE26939"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:22:30Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 3, "usage": {"prompt_tokens": 31431, "completion_tokens": 2555, "cached_tokens": 792}}, "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:32904605", "type": "paper", "label": "pmid:32904605"}, {"id": "source:pmid:32904605", "type": "manuscript", "label": "PMID 32904605 full text"}, {"id": "data:geo:GSE26939", "type": "dataset", "label": "GEO GSE26939"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:32904605", "type": "paper", "label": "pmid:32904605"}, {"id": "source:pmid:32904605", "type": "manuscript", "label": "PMID 32904605 full text"}, {"id": "data:geo:GSE26939", "type": "dataset", "label": "GEO GSE26939"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-32904605", "type": "extraction", "used": ["source:pmid:32904605"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE26939", "type": "accession_resolution", "used": ["data:geo:GSE26939"], "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:32904605", "parent_hash": "sha256:18ca6fa40ac9e28c6684cea07918be23baef02cfe51b75c189acb451eafefea6", "fork_of": null, "generation": 6}, "gaps": ["asset:data:geo:GSE26939 licence not read", "asset:data:geo:GSE26939 not downloaded", "asset:data:geo:GSE72094 licence not read", "asset:data:geo:GSE72094 not downloaded", "execution.not_run", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "transfection", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["ung adenocarcinoma. Finally, by transfecting siRNA, we examined the regulatory effect of AHNAK2", "Materials and Methods 2.6. Cell Culture and Transfection The ADC cell line (A549) was purchased from", "ere cultured continuously for 48 hours after transfection. 3.1. AHNAK2 Upregulated in Lung Adenocarcin", "40 that contains 10% fetal bovine serum. The siRNA sequences targeting AHNAK2 are as follows: 5"], "order_basis": "paper_text_order:1380", "id": "assay:1"}, {"role": "data_generation", "definition_id": "cell_culture", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["ife Science & Technology Co., Ltd. The cells cultured in a humidified chamber containing 5% CO2 at 37", "Culture and Transfection The ADC cell line (A549) was purchased from Procell Life Science & T"], "order_basis": "paper_text_order:2117", "id": "assay:2"}, {"role": "data_generation", "definition_id": "microarray", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["LUAD, we analyzed 80 samples from the tissue microarray. Among them, 5 cases were removed from the s"], "order_basis": "paper_text_order:2857", "id": "assay:3"}, {"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": ["0.001, Figure 1(c)). Several representative immunohistochemically stained specimens were shown in Figure 1(b).", "h the multivariate Cox regression (Table 2). Immunohistochemical analysis of the expression of AHNAK2 in LUAD"], "order_basis": "paper_text_order:3433", "id": "assay:4"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["survival_km"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 0.7, "evidence": ["Kaplan-Meier"], "order_basis": "consumes_earlier_output", "id": "assay:5"}]}