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pmid:35002288

ADAMTS8 Expression is a Potential Prognostic Biomarker for Postoperative Metastasis in Lymph Node-Negative Early-Stage Invasive Breast Carcinoma Patients.

Yao Li · Xin Yang · Jie Sun · Yangyang Zhao · Qi Zhou · Bin Hua

Pharmacogenomics and personalized medicine · 2021 doi:10.2147/PGPM.S339919

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Experiment

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title
ADAMTS8 Expression is a Potential Prognostic Biomarker for Postoperative Metastasis in Lymph Node-Negative Early-Stage Invasive Breast Carcinoma Patients.
doi
10.2147/PGPM.S339919
pmid
35002288
authors array · 6 items
[0]
Yao Li
[1]
Xin Yang
[2]
Jie Sun
[3]
Yangyang Zhao
[4]
Qi Zhou
[5]
Bin Hua
journal
Pharmacogenomics and personalized medicine
year
2021
abstract
PURPOSE: Invasive breast carcinoma (BC) is the most common malignant breast tumor. Most lymph node-negative (LN-) early-stage BC patients usually have a good prognosis, but 7% of patients still develop metastasis after surgery. It is not yet clear how to screen candidates with poorer prognosis in LN- early-stage patients, so that they can receive intensive therapy. Hence, we expect to identify a prognostic biomarker to assess postoperative metastasis in LN- early-stage BC patients. PATIENTS AND METHODS: Screening and verifying of candidate genes by gene expression profiling of LN- early-stage BC samples (n = 640) from 3 independent public datasets. Univariable and multivariable Cox regression analyses showed the relation between the candidate genes and postoperative metastasis. Distant metastasis-free survival (DMFS) analysis was performed to examine the prognostic significance. Quantitative real-time polymerase chain reaction (qRT-PCR) assays were performed to examine ADAMTS8 expression and prognostic association in our clinical samples (n = 25). RESULTS: In the discovery cohort (TCGA and GSE20685 datasets), we found that ADAMTS8 tend to be low expression in LN- early-stage BC, and low ADAMTS8 expression was associated with postoperative metastasis and shortened DMFS. Moreover, the above finding was confirmed in the validation cohort (GSE6538 dataset). Lower ADAMTS8 expression was related to poorer prognostic clinical stage and PAM50 subtypes and shorter DMFS. Gene enrichment analysis indicated that ADAMTS8 may be correlated with BC metastasis. qRT-PCR assays of our clinical tumor sample showed that patients with low ADAMTS8 expression seem to be prone to developing metastasis and have a shorter DMFS time. CONCLUSION: Our research shows that low ADAMTS8 expression is associated with postoperative metastasis and shortened DMFS in LN- early-stage BC patients, which suggests that ADAMTS8 may be a potential prognostic marker for postoperative metastasis in LN- early-stage BC patients.
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Kaplan–Meier survival curves were used to compare the high and low expression groups according to the hazard ratio (HR) and log-rank p value.
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sections[7] "Distant Metastasis-Free Survival Analysis" paragraph 2
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Kaplan–Meier survival curves were used to compare the high and low expression groups according to the hazard ratio (HR) and log-rank p value.
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Transcriptome and clinical data from BC patients were downloaded from TCGA (https://portal.gdc.cancer.gov/), and the microarray gene expression profiles and clinical data were retrieved from the GEO (GSE20685, GSE6532) (https://www.ncbi.nlm.nih.gov/gds) database.
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sections[3] "Data Extraction" paragraph 2
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Transcriptome and clinical data from BC patients were downloaded from TCGA (https://portal.gdc.cancer.gov/), and the microarray gene expression profiles and clinical data were retrieved from the GEO (GSE20685, GSE6532) (https://www.ncbi.nlm.nih.gov/gds) database.
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We found that low ADAMTS8 expression was a high risk factor for postoperative metastasis in both discovery datasets (TCGA: HR = 5.637 [1.915–16.595], p = 0.002; GSE20685: HR = 14.550 [1.853–114.230], p = 0.011).
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sections[13] "Identification of Candidate Gene in the Discovery Cohort" paragraph 5
quote
We found that low ADAMTS8 expression was a high risk factor for postoperative metastasis in both discovery datasets (TCGA: HR = 5.637 [1.915–16.595], p = 0.002; GSE20685: HR = 14.550 [1.853–114.230], p = 0.011).
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We found that low ADAMTS8 expression was a high risk factor for postoperative metastasis in both discovery datasets (TCGA: HR = 5.637 [1.915–16.595], p = 0.002; GSE20685: HR = 14.550 [1.853–114.230], p = 0.011).
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[110]
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[112]
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[113]
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[114]
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[115]
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[116]
GSM150910
[117]
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[118]
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[119]
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[120]
GSM150914
[121]
GSM150915
[122]
GSM150916
[123]
GSM150917
[124]
GSM150918
[125]
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[126]
GSM150920
[127]
GSM150921
[128]
GSM150922
[129]
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[130]
GSM150924
[131]
GSM150925
[132]
GSM150926
[133]
GSM150927
[134]
GSM150928
[135]
GSM150929
[136]
GSM150930
[137]
GSM150931
[138]
GSM150932
[139]
GSM150933
[140]
GSM150934
[141]
GSM150935
[142]
GSM150936
[143]
GSM150937
[144]
GSM150938
[145]
GSM150939
[146]
GSM150940
[147]
GSM150941
[148]
GSM150942
[149]
GSM150943
[150]
GSM150944
[151]
GSM150945
[152]
GSM150946
[153]
GSM150947
[154]
GSM150948
[155]
GSM150949
[156]
GSM150950
[157]
GSM150951
[158]
GSM150952
[159]
GSM150953
[160]
GSM150954
[161]
GSM150955
[162]
GSM150956
[163]
GSM150957
[164]
GSM150958
[165]
GSM150959
[166]
GSM150960
[167]
GSM150961
[168]
GSM150962
[169]
GSM150963
[170]
GSM150964
[171]
GSM150965
[172]
GSM150966
[173]
GSM150967
[174]
GSM150968
[175]
GSM150969
[176]
GSM150970
[177]
GSM150971
[178]
GSM150972
[179]
GSM150973
[180]
GSM150974
[181]
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[182]
GSM150976
[183]
GSM150977
[184]
GSM150978
[185]
GSM150979
[186]
GSM150980
[187]
GSM150981
[188]
GSM150982
[189]
GSM150983
[190]
GSM150984
[191]
GSM150985
[192]
GSM150986
[193]
GSM150987
[194]
GSM150988
[195]
GSM150989
[196]
GSM150990
[197]
GSM150991
[198]
GSM150992
[199]
GSM150993
[200]
GSM150994
[201]
GSM150995
[202]
GSM150996
[203]
GSM150997
[204]
GSM150998
[205]
GSM150999
[206]
GSM151000
[207]
GSM151001
[208]
GSM151002
[209]
GSM151003
[210]
GSM151004
[211]
GSM151005
[212]
GSM151006
[213]
GSM151007
[214]
GSM151008
[215]
GSM151009
[216]
GSM151010
[217]
GSM151011
[218]
GSM151012
[219]
GSM151013
[220]
GSM151014
[221]
GSM151015
[222]
GSM151016
[223]
GSM151017
[224]
GSM151018
[225]
GSM151019
[226]
GSM151020
[227]
GSM151021
[228]
GSM151022
[229]
GSM151023
[230]
GSM151024
[231]
GSM151025
[232]
GSM151026
[233]
GSM151027
[234]
GSM151028
[235]
GSM151029
[236]
GSM151030
[237]
GSM151031
[238]
GSM151032
[239]
GSM151033
[240]
GSM151034
[241]
GSM151035
[242]
GSM151036
[243]
GSM151037
[244]
GSM151038
[245]
GSM151039
[246]
GSM151040
[247]
GSM151041
[248]
GSM151042
[249]
GSM151043
[250]
GSM151044
[251]
GSM151045
[252]
GSM151046
[253]
GSM151047
[254]
GSM151048
[255]
GSM151049
[256]
GSM151050
[257]
GSM151051
[258]
GSM151052
[259]
GSM151053
[260]
GSM151054
[261]
GSM151055
[262]
GSM151056
[263]
GSM151057
[264]
GSM151058
[265]
GSM151059
[266]
GSM151060
[267]
GSM151061
[268]
GSM151062
[269]
GSM151063
[270]
GSM151064
[271]
GSM151065
[272]
GSM151066
[273]
GSM151067
[274]
GSM151068
[275]
GSM151069
[276]
GSM151070
[277]
GSM151071
[278]
GSM151072
[279]
GSM151073
[280]
GSM151074
[281]
GSM151075
[282]
GSM151076
[283]
GSM151077
[284]
GSM151078
[285]
GSM151079
[286]
GSM151080
[287]
GSM151081
[288]
GSM151082
[289]
GSM151083
[290]
GSM151084
[291]
GSM151085
[292]
GSM151086
[293]
GSM151087
[294]
GSM151088
[295]
GSM151089
[296]
GSM151090
[297]
GSM151091
[298]
GSM151092
[299]
GSM151093
[300]
GSM151094
[301]
GSM151095
[302]
GSM151096
[303]
GSM151097
[304]
GSM151098
[305]
GSM151099
[306]
GSM151100
[307]
GSM151101
[308]
GSM151102
[309]
GSM151103
[310]
GSM151104
[311]
GSM151105
[312]
GSM151106
[313]
GSM151107
[314]
GSM151108
[315]
GSM151109
[316]
GSM151110
[317]
GSM151111
[318]
GSM151112
[319]
GSM151113
[320]
GSM151114
[321]
GSM151115
[322]
GSM151116
[323]
GSM151117
[324]
GSM151118
[325]
GSM151119
[326]
GSM151120
[327]
GSM151121
[328]
GSM151122
[329]
GSM151123
[330]
GSM151124
[331]
GSM151125
[332]
GSM151126
[333]
GSM151127
[334]
GSM151128
[335]
GSM151129
[336]
GSM151130
[337]
GSM151131
[338]
GSM151132
[339]
GSM151133
[340]
GSM151134
[341]
GSM151135
[342]
GSM151136
[343]
GSM151137
[344]
GSM151138
[345]
GSM151139
[346]
GSM151140
[347]
GSM151141
[348]
GSM151142
[349]
GSM151143
[350]
GSM151144
[351]
GSM151145
[352]
GSM151146
[353]
GSM151147
[354]
GSM151148
[355]
GSM151149
[356]
GSM151150
[357]
GSM151151
[358]
GSM151152
[359]
GSM151153
[360]
GSM151154
[361]
GSM151155
[362]
GSM151156
[363]
GSM151157
[364]
GSM151158
[365]
GSM151159
[366]
GSM151160
[367]
GSM151161
[368]
GSM151162
[369]
GSM151163
[370]
GSM151164
[371]
GSM151165
[372]
GSM151166
[373]
GSM151167
[374]
GSM151168
[375]
GSM151169
[376]
GSM151170
[377]
GSM151171
[378]
GSM151172
[379]
GSM151173
[380]
GSM151174
[381]
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[382]
GSM151176
[383]
GSM151177
[384]
GSM151178
[385]
GSM151179
[386]
GSM151180
[387]
GSM151181
[388]
GSM151182
[389]
GSM151183
[390]
GSM151184
[391]
GSM151185
[392]
GSM151186
[393]
GSM151187
[394]
GSM151188
[395]
GSM151189
[396]
GSM151190
[397]
GSM151191
[398]
GSM151192
[399]
GSM151193
[400]
GSM151194
[401]
GSM151195
[402]
GSM151196
[403]
GSM151197
[404]
GSM151198
[405]
GSM151199
[406]
GSM151200
[407]
GSM151201
[408]
GSM151202
[409]
GSM151203
[410]
GSM151204
[411]
GSM151205
[412]
GSM151206
[413]
GSM151207
[414]
GSM151208
[415]
GSM151209
[416]
GSM151210
[417]
GSM151211
[418]
GSM151212
[419]
GSM151213
[420]
GSM151214
[421]
GSM151215
[422]
GSM151216
[423]
GSM151217
[424]
GSM151218
[425]
GSM151219
[426]
GSM151220
[427]
GSM151221
[428]
GSM151222
[429]
GSM151223
[430]
GSM151224
[431]
GSM151225
[432]
GSM151226
[433]
GSM151227
[434]
GSM151228
[435]
GSM151229
[436]
GSM151230
[437]
GSM151231
[438]
GSM151232
[439]
GSM151233
[440]
GSM151234
[441]
GSM151235
[442]
GSM151236
[443]
GSM151237
[444]
GSM151238
[445]
GSM151239
[446]
GSM151240
[447]
GSM151241
[448]
GSM151242
[449]
GSM151243
[450]
GSM151244
[451]
GSM151245
[452]
GSM151246
[453]
GSM151247
[454]
GSM151248
[455]
GSM151249
[456]
GSM151250
[457]
GSM151251
[458]
GSM151252
[459]
GSM151253
[460]
GSM151254
[461]
GSM151255
[462]
GSM151256
[463]
GSM151257
[464]
GSM151258
[465]
GSM151259
[466]
GSM151260
[467]
GSM151261
[468]
GSM151262
[469]
GSM151263
[470]
GSM151264
[471]
GSM151265
[472]
GSM151266
[473]
GSM151267
[474]
GSM151268
[475]
GSM151269
[476]
GSM151270
[477]
GSM151271
[478]
GSM151272
[479]
GSM151273
[480]
GSM151274
[481]
GSM151275
[482]
GSM151276
[483]
GSM151277
[484]
GSM151278
[485]
GSM151279
[486]
GSM151280
[487]
GSM151281
[488]
GSM151282
[489]
GSM151283
[490]
GSM151284
[491]
GSM151285
[492]
GSM151286
[493]
GSM151287
[494]
GSM151288
[495]
GSM151289
[496]
GSM151290
[497]
GSM151291
[498]
GSM151292
[499]
GSM151293
[500]
GSM151294
[501]
GSM151295
[502]
GSM151296
[503]
GSM151297
[504]
GSM151298
[505]
GSM151299
[506]
GSM151300
[507]
GSM151301
[508]
GSM151302
[509]
GSM151303
[510]
GSM151304
[511]
GSM151305
[512]
GSM151306
[513]
GSM151307
[514]
GSM151308
[515]
GSM151309
[516]
GSM151310
[517]
GSM151311
[518]
GSM151312
[519]
GSM151313
[520]
GSM151314
[521]
GSM151315
[522]
GSM151316
[523]
GSM151317
[524]
GSM151318
[525]
GSM151319
[526]
GSM151320
[527]
GSM151321
[528]
GSM151322
[529]
GSM151323
[530]
GSM151324
[531]
GSM151325
[532]
GSM151326
[533]
GSM151327
[534]
GSM151328
[535]
GSM151329
[536]
GSM151330
[537]
GSM151331
[538]
GSM151332
[539]
GSM151333
[540]
GSM151334
[541]
GSM151335
[542]
GSM151336
[543]
GSM151337
[544]
GSM151338
[545]
GSM151339
[546]
GSM151340
[547]
GSM151341
[548]
GSM151342
[549]
GSM151343
[550]
GSM151344
[551]
GSM151345
[552]
GSM65316
[553]
GSM65317
[554]
GSM65318
[555]
GSM65319
[556]
GSM65320
[557]
GSM65321
[558]
GSM65322
[559]
GSM65323
[560]
GSM65324
[561]
GSM65325
[562]
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[563]
GSM65327
[564]
GSM65328
[565]
GSM65329
[566]
GSM65330
[567]
GSM65331
[568]
GSM65332
[569]
GSM65333
[570]
GSM65334
[571]
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[572]
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[573]
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[574]
GSM65338
[575]
GSM65339
[576]
GSM65340
[577]
GSM65341
[578]
GSM65342
[579]
GSM65343
[580]
GSM65344
[581]
GSM65345
[582]
GSM65346
[583]
GSM65347
[584]
GSM65348
[585]
GSM65349
[586]
GSM65350
[587]
GSM65351
[588]
GSM65352
[589]
GSM65353
[590]
GSM65354
[591]
GSM65355
[592]
GSM65356
[593]
GSM65357
[594]
GSM65358
[595]
GSM65359
[596]
GSM65360
[597]
GSM65361
[598]
GSM65362
[599]
GSM65363
[600]
GSM65364
[601]
GSM65365
[602]
GSM65366
[603]
GSM65367
[604]
GSM65368
[605]
GSM65369
[606]
GSM65370
[607]
GSM65371
[608]
GSM65372
[609]
GSM65373
[610]
GSM65374
[611]
GSM65375
[612]
GSM65376
[613]
GSM65377
[614]
GSM65378
[615]
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[616]
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[617]
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[618]
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[619]
GSM65755
[620]
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[621]
GSM65757
[622]
GSM65758
[623]
GSM65760
[624]
GSM65761
[625]
GSM65762
[626]
GSM65763
[627]
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[628]
GSM65765
[629]
GSM65766
[630]
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[631]
GSM65768
[632]
GSM65769
[633]
GSM65770
[634]
GSM65771
[635]
GSM65772
[636]
GSM65773
[637]
GSM65774
[638]
GSM65775
[639]
GSM65776
[640]
GSM65779
[641]
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[642]
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[643]
GSM65782
[644]
GSM65783
[645]
GSM65784
[646]
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[647]
GSM65786
[648]
GSM65787
[649]
GSM65788
[650]
GSM65789
[651]
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[652]
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[653]
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[654]
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[655]
GSM65794
[656]
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[657]
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[658]
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[659]
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[660]
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[661]
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[662]
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[663]
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[664]
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[665]
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[666]
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[667]
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[668]
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[669]
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[671]
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[675]
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[676]
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[677]
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[678]
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[679]
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[680]
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[681]
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[682]
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[683]
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[685]
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[686]
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[687]
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[688]
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[689]
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[690]
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[691]
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[694]
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[695]
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[696]
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[697]
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[698]
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[699]
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[700]
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[701]
GSM65841
[702]
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[703]
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[704]
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[705]
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[706]
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[707]
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[710]
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[712]
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[715]
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[724]
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[734]
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GSM65878
[739]
GSM65879
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GSM65880
sample_count
741
group_sizes
null
group_sizes_basis
null
platform
96;97;570
taxon
Homo sapiens
title
Definition of clinically distinct molecular subtypes in estrogen receptor positive breast carcinomas using genomic grade
resolution_checked_at
2026-11-01T17:30:42Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 4 items
[0]
asset:data:geo:GSE20685 not downloaded
[1]
asset:data:geo:GSE20685 licence not read
[2]
asset:data:geo:GSE6532 not downloaded
[3]
asset:data:geo:GSE6532 licence not read
analysis object · 4 fields
state
partial
methods array · 7 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
verbatim
quote
Kaplan–Meier survival curves were used to compare the high and low expression groups according to the hazard ratio (HR) and log-rank p value.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
anova
label
Group comparison
dsl_operations array · 4 items
[0]
group_summary
[1]
welch_t
[2]
bootstrap_mean_difference
[3]
group_comparison_anova
missing_operations array · 0 items
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
ANOVA
[2] object · 10 fields
id
method-3
family
survival_analysis
specific
log_rank_test
label
Survival analysis
dsl_operations array · 1 item
[0]
logrank_test
missing_operations array · 0 items
parameters object · 1 field
p_value
cording to the log-rank p value
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.8
band
high
quote
log-rank
[3] object · 10 fields
id
method-4
family
differential_expression
specific
edger
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
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edgeR
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limma_voom
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normalise_counts
[1]
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[2]
fdr_bh
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count_matrix_with_condition
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0.8
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limma
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regression_modelling
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Regression modelling
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ols_fit
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predictors_and_outcome
evidence object · 3 fields
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0.8
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clustering
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evidence object · 3 fields
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0.8
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capability object · 3 fields
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complete
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capability_id
capability:computational_analysis
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[1]
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[2]
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[3]
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[4]
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[5]
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[6]
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[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
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readiness object · 8 fields
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cox_ph
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basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards.
capability object · 4 fields
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R1
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capability:computational_analysis
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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
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[0]
GSE20685
[1]
GSE6532
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[0]
GSE20685
[1]
GSE6532
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[0]
Transcriptome and clinical data from BC patients were downloaded from TCGA (https://portal.gdc.cancer.gov/), and the microarray gene expression profiles and clinical data were retrieved from the GEO (GSE20685, GSE6532) (https://www.ncbi.nlm.nih.gov/gds) database.
basis
The paper names GSE20685, GSE6532 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
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cox_ph
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source:pmid:35002288
[1]
data:geo:GSE20685
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data:geo:GSE20685
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review object · 5 fields
state
partial
machine_critique object · 5 fields
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extraction_review
reader object · 5 fields
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MiniMax-M3.1-Flash
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minimax
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minimax
read_at
2026-11-01T17:15:57Z
independence
single_reader
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verbatim
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null
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5
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256
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[0] object · 4 fields
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provenance object · 7 fields
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pmid:35002288
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paper
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pmid:35002288
[1] object · 3 fields
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source:pmid:35002288
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manuscript
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PMID 35002288 full text
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data:geo:GSE20685
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dataset
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GEO GSE20685
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used array · 3 items
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paper
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pmid:35002288
[1] object · 3 fields
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source:pmid:35002288
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manuscript
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PMID 35002288 full text
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data:geo:GSE20685
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dataset
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GEO GSE20685
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agent:corpus-assay-engine
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extraction
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agent:minimax-reader
[2] object · 4 fields
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activity-resolve-GSE20685
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used array · 1 item
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agent:corpus-assay-engine
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agent:corpus-assay-engine
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agent:minimax-reader
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dsl_catalogue_fingerprint
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capability_table_fingerprint
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lineage object · 4 fields
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asset:data:geo:GSE20685 licence not read
[1]
asset:data:geo:GSE20685 not downloaded
[2]
asset:data:geo:GSE6532 licence not read
[3]
asset:data:geo:GSE6532 not downloaded
[4]
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[5]
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[6]
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[7]
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[8]
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assays array · 4 items
[0] object · 11 fields
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data_generation
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99e1195c7d6f
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partial
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99e1195c7d6f
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0.93
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[0]
nd Methods Data Processing The raw counts of RNA-sequencing data from the TCGA dataset were corrected an
order_basis
paper_text_order:2183
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assay:1
[1] object · 11 fields
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data_generation
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99e1195c7d6f
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[0]
e used to process raw data of the Affymetrix microarray in the GSE20685 and GSE6532 datasets, includ
[1]
cedures were used to process raw data of the Affymetrix microarray in the GSE20685 and GSE6532 datas
[2]
summarization. Probes were annotated by the Affymetrix annotation files. The PAM50 gene expression
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0.93
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[0]
SYBR Premix Ex Taq (TaKaRa). The primers for qPCR were as follows: GAPDH: forward 5ʹ-GGAGCGAGA
order_basis
paper_text_order:4668
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Kaplan–Meier survival curves were used to compare the high and low expression groups according to the hazard ratio (HR) and log-rank p value.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35002288", "kind": "science-record", "revision": 5, "content_hash": "sha256:f283cc4ab18269f48f0a7bd9e984c36be13b5fb5ce1c978e70b786e473c07223", "created_at": "2026-11-01T17:36:43Z", "updated_at": "2026-11-01T22:48:12Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "ADAMTS8 Expression is a Potential Prognostic Biomarker for Postoperative Metastasis in Lymph Node-Negative Early-Stage Invasive Breast Carcinoma Patients.", "doi": "10.2147/PGPM.S339919", "pmid": "35002288", "authors": ["Yao Li", "Xin Yang", "Jie Sun", "Yangyang Zhao", "Qi Zhou", "Bin Hua"], "journal": "Pharmacogenomics and personalized medicine", "year": 2021, "abstract": "PURPOSE: Invasive breast carcinoma (BC) is the most common malignant breast tumor. Most lymph node-negative (LN-) early-stage BC patients usually have a good prognosis, but 7% of patients still develop metastasis after surgery. It is not yet clear how to screen candidates with poorer prognosis in LN- early-stage patients, so that they can receive intensive therapy. Hence, we expect to identify a prognostic biomarker to assess postoperative metastasis in LN- early-stage BC patients.\nPATIENTS AND METHODS: Screening and verifying of candidate genes by gene expression profiling of LN- early-stage BC samples (n = 640) from 3 independent public datasets. Univariable and multivariable Cox regression analyses showed the relation between the candidate genes and postoperative metastasis. Distant metastasis-free survival (DMFS) analysis was performed to examine the prognostic significance. Quantitative real-time polymerase chain reaction (qRT-PCR) assays were performed to examine ADAMTS8 expression and prognostic association in our clinical samples (n = 25).\nRESULTS: In the discovery cohort (TCGA and GSE20685 datasets), we found that ADAMTS8 tend to be low expression in LN- early-stage BC, and low ADAMTS8 expression was associated with postoperative metastasis and shortened DMFS. Moreover, the above finding was confirmed in the validation cohort (GSE6538 dataset). Lower ADAMTS8 expression was related to poorer prognostic clinical stage and PAM50 subtypes and shorter DMFS. Gene enrichment analysis indicated that ADAMTS8 may be correlated with BC metastasis. qRT-PCR assays of our clinical tumor sample showed that patients with low ADAMTS8 expression seem to be prone to developing metastasis and have a shorter DMFS time.\nCONCLUSION: Our research shows that low ADAMTS8 expression is associated with postoperative metastasis and shortened DMFS in LN- early-stage BC patients, which suggests that ADAMTS8 may be a potential prognostic marker for postoperative metastasis in LN- early-stage BC patients.", "claims": [{"id": "claim-method", "statement": "Kaplan–Meier survival curves were used to compare the high and low expression groups according to the hazard ratio (HR) and log-rank p value.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35002288", "locator": "sections[7] \"Distant Metastasis-Free Survival Analysis\" paragraph 2", "quote": "Kaplan–Meier survival curves were used to compare the high and low expression groups according to the hazard ratio (HR) and log-rank p value."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Transcriptome and clinical data from BC patients were downloaded from TCGA (https://portal.gdc.cancer.gov/), and the microarray gene expression profiles and clinical data were retrieved from the GEO (GSE20685, GSE6532) (https://www.ncbi.nlm.nih.gov/gds) database.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35002288", "locator": "sections[3] \"Data Extraction\" paragraph 2", "quote": "Transcriptome and clinical data from BC patients were downloaded from TCGA (https://portal.gdc.cancer.gov/), and the microarray gene expression profiles and clinical data were retrieved from the GEO (GSE20685, GSE6532) (https://www.ncbi.nlm.nih.gov/gds) database."}], "state": "complete"}, {"id": "claim-target-result", "statement": "We found that low ADAMTS8 expression was a high risk factor for postoperative metastasis in both discovery datasets (TCGA: HR = 5.637 [1.915–16.595], p = 0.002; GSE20685: HR = 14.550 [1.853–114.230], p = 0.011).", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35002288", "locator": "sections[13] \"Identification of Candidate Gene in the Discovery Cohort\" paragraph 5", "quote": "We found that low ADAMTS8 expression was a high risk factor for postoperative metastasis in both discovery datasets (TCGA: HR = 5.637 [1.915–16.595], p = 0.002; GSE20685: HR = 14.550 [1.853–114.230], p = 0.011)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "We found that low ADAMTS8 expression was a high risk factor for postoperative metastasis in both discovery datasets (TCGA: HR = 5.637 [1.915–16.595], p = 0.002; GSE20685: HR = 14.550 [1.853–114.230], p = 0.011).", "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:35002288"], "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:GSE20685"], "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:GSE20685"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35002288", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.2147/PGPM.S339919", "sha256": 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Probes were annotated by the Affymetrix annotation files. The PAM50 gene expression"], "order_basis": "paper_text_order:2346", "id": "assay:2"}, {"role": "data_generation", "definition_id": "qpcr", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["SYBR Premix Ex Taq (TaKaRa). 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