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pmid:34705571

Systematic Analyses of a Chemokine Family-Based Risk Model Predicting Clinical Outcome and Immunotherapy Response in Lung Adenocarcinoma.

Jiarui Chen · Xingyu Liu · Qiuji Wu · Xueping Jiang · Zihang Zeng · Jiali Li · Yanping Gao · Yan Gong · Conghua Xie

Cell transplantation · 2021 doi:10.1177/09636897211055046

Paper

complete

Experiment

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Data

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Analysis

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pmid:34705571
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title
Systematic Analyses of a Chemokine Family-Based Risk Model Predicting Clinical Outcome and Immunotherapy Response in Lung Adenocarcinoma.
doi
10.1177/09636897211055046
pmid
34705571
authors array · 9 items
[0]
Jiarui Chen
[1]
Xingyu Liu
[2]
Qiuji Wu
[3]
Xueping Jiang
[4]
Zihang Zeng
[5]
Jiali Li
[6]
Yanping Gao
[7]
Yan Gong
[8]
Conghua Xie
journal
Cell transplantation
year
2021
abstract
Chemokines exhibited complicated functions in antitumor immunity, with their expression profile and clinical importance of lung adenocarcinoma (LUAD) patients remaining largely undetermined. This study aimed to explore the expression patterns of chemokine family in LUAD and construct a predictive chemokine family-based signature. A total of 497 samples were downloaded from the Cancer Genome Atlas (TCGA) data portal as the training set, and the combination of 4 representative Gene Expression Omnibus (GEO) datasets, including GSE30219, GSE50081, GSE37745, and GSE31210, were utilized as the validation set. A three gene-based signature was constructed using univariate and stepwise multivariate Cox regression analysis, classifying patients into high and low risk groups according to the overall survival. The independent GEO datasets were utilized to validate this signature. Another multivariate analysis revealed that this signature remained an independent prognostic factor in LUAD patients. Furthermore, patients in the low risk group featured immunoactive tumor microenvironment (TME), higher IPS scores and lower TIDE scores, and was regarded as the potential beneficiaries of immunotherapy. Finally, the role of risky CCL20 was validated by immunohistochemistry (IHC), and patients possessed higher CCL20 expression presented shorter overall survival (P = 0.011).
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Univariate Cox regression model and a subsequent stepwise multivariate Cox regression were employed to screen the most significant survival-related genes.
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sections[10] "Statistical Analysis" paragraph 2
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Univariate Cox regression model and a subsequent stepwise multivariate Cox regression were employed to screen the most significant survival-related genes.
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Availability of Data and Materials: The datasets analyzed in this study can be found in TCGA portal (https://portal.gdc.cancer.gov/) and GEO portal (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE30219& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50081& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37745& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE31210). Further inquiries can be directed to the corresponding author.
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sections[23] "fn-group" paragraph 1
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Availability of Data and Materials: The datasets analyzed in this study can be found in TCGA portal (https://portal.gdc.cancer.gov/) and GEO portal (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE30219& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50081& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37745& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE31210). Further inquiries can be directed to the corresponding author.
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Finally, the role of risky CCL20 was validated by immunohistochemistry (IHC), and patients possessed higher CCL20 expression presented shorter overall survival (P = 0.011).
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Finally, the role of risky CCL20 was validated by immunohistochemistry (IHC), and patients possessed higher CCL20 expression presented shorter overall survival (P = 0.011).
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sections[0] "Abstract" paragraph 1
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Finally, the role of risky CCL20 was validated by immunohistochemistry (IHC), and patients possessed higher CCL20 expression presented shorter overall survival (P = 0.011).
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Finally, the role of risky CCL20 was validated by immunohistochemistry (IHC), and patients possessed higher CCL20 expression presented shorter overall survival (P = 0.011).
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Availability of Data and Materials: The datasets analyzed in this study can be found in TCGA portal (https://portal.gdc.cancer.gov/) and GEO portal (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE30219& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50081& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37745& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE31210). Further inquiries can be directed to the corresponding author.
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title
"Off-context" gene expression in lung cancer identifies a group of metastatic-prone tumors
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Availability of Data and Materials: The datasets analyzed in this study can be found in TCGA portal (https://portal.gdc.cancer.gov/) and GEO portal (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE30219& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50081& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37745& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE31210). Further inquiries can be directed to the corresponding author.
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GSM773614
[75]
GSM773615
[76]
GSM773616
[77]
GSM773617
[78]
GSM773618
[79]
GSM773619
[80]
GSM773620
[81]
GSM773621
[82]
GSM773622
[83]
GSM773623
[84]
GSM773624
[85]
GSM773625
[86]
GSM773626
[87]
GSM773627
[88]
GSM773628
[89]
GSM773629
[90]
GSM773630
[91]
GSM773631
[92]
GSM773632
[93]
GSM773633
[94]
GSM773634
[95]
GSM773635
[96]
GSM773636
[97]
GSM773637
[98]
GSM773638
[99]
GSM773639
[100]
GSM773640
[101]
GSM773641
[102]
GSM773642
[103]
GSM773643
[104]
GSM773644
[105]
GSM773645
[106]
GSM773646
[107]
GSM773647
[108]
GSM773648
[109]
GSM773649
[110]
GSM773650
[111]
GSM773651
[112]
GSM773652
[113]
GSM773653
[114]
GSM773654
[115]
GSM773655
[116]
GSM773656
[117]
GSM773657
[118]
GSM773658
[119]
GSM773659
[120]
GSM773660
[121]
GSM773661
[122]
GSM773662
[123]
GSM773663
[124]
GSM773664
[125]
GSM773665
[126]
GSM773666
[127]
GSM773667
[128]
GSM773668
[129]
GSM773669
[130]
GSM773670
[131]
GSM773671
[132]
GSM773672
[133]
GSM773673
[134]
GSM773674
[135]
GSM773675
[136]
GSM773676
[137]
GSM773677
[138]
GSM773678
[139]
GSM773679
[140]
GSM773680
[141]
GSM773681
[142]
GSM773682
[143]
GSM773683
[144]
GSM773684
[145]
GSM773685
[146]
GSM773686
[147]
GSM773687
[148]
GSM773688
[149]
GSM773689
[150]
GSM773690
[151]
GSM773691
[152]
GSM773692
[153]
GSM773693
[154]
GSM773694
[155]
GSM773695
[156]
GSM773696
[157]
GSM773697
[158]
GSM773698
[159]
GSM773699
[160]
GSM773700
[161]
GSM773701
[162]
GSM773702
[163]
GSM773703
[164]
GSM773704
[165]
GSM773705
[166]
GSM773706
[167]
GSM773707
[168]
GSM773708
[169]
GSM773709
[170]
GSM773710
[171]
GSM773711
[172]
GSM773712
[173]
GSM773713
[174]
GSM773714
[175]
GSM773715
[176]
GSM773716
[177]
GSM773717
[178]
GSM773718
[179]
GSM773719
[180]
GSM773720
[181]
GSM773721
[182]
GSM773722
[183]
GSM773723
[184]
GSM773724
[185]
GSM773725
[186]
GSM773726
[187]
GSM773727
[188]
GSM773728
[189]
GSM773729
[190]
GSM773730
[191]
GSM773731
[192]
GSM773732
[193]
GSM773733
[194]
GSM773734
[195]
GSM773735
[196]
GSM773736
[197]
GSM773737
[198]
GSM773738
[199]
GSM773739
[200]
GSM773740
[201]
GSM773741
[202]
GSM773742
[203]
GSM773743
[204]
GSM773744
[205]
GSM773745
[206]
GSM773746
[207]
GSM773747
[208]
GSM773748
[209]
GSM773749
[210]
GSM773750
[211]
GSM773751
[212]
GSM773752
[213]
GSM773753
[214]
GSM773754
[215]
GSM773755
[216]
GSM773756
[217]
GSM773757
[218]
GSM773758
[219]
GSM773759
[220]
GSM773760
[221]
GSM773761
[222]
GSM773762
[223]
GSM773763
[224]
GSM773764
[225]
GSM773765
[226]
GSM773766
[227]
GSM773767
[228]
GSM773768
[229]
GSM773769
[230]
GSM773770
[231]
GSM773771
[232]
GSM773772
[233]
GSM773773
[234]
GSM773774
[235]
GSM773775
[236]
GSM773776
[237]
GSM773777
[238]
GSM773778
[239]
GSM773779
[240]
GSM773780
[241]
GSM773781
[242]
GSM773782
[243]
GSM773783
[244]
GSM773784
[245]
GSM773785
sample_count
246
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Gene expression data for pathological stage I-II lung adenocarcinomas
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 15 fields
id
data:geo:GSE37745
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=GSE37745
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE37745
version
null
note
Availability of Data and Materials: The datasets analyzed in this study can be found in TCGA portal (https://portal.gdc.cancer.gov/) and GEO portal (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE30219& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50081& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37745& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE31210). Further inquiries can be directed to the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Availability of Data and Materials: The datasets analyzed in this study can be found in TCGA portal (https://portal.gdc.cancer.gov/) and GEO portal (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE30219& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50081& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37745& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE31210). Further inquiries can be directed to the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 196 items
[0]
GSM1019138
[1]
GSM1019139
[2]
GSM1019140
[3]
GSM1019141
[4]
GSM1019142
[5]
GSM1019143
[6]
GSM1019144
[7]
GSM1019145
[8]
GSM1019146
[9]
GSM1019147
[10]
GSM1019148
[11]
GSM1019149
[12]
GSM1019150
[13]
GSM1019151
[14]
GSM1019152
[15]
GSM1019153
[16]
GSM1019154
[17]
GSM1019155
[18]
GSM1019156
[19]
GSM1019157
[20]
GSM1019158
[21]
GSM1019159
[22]
GSM1019160
[23]
GSM1019161
[24]
GSM1019162
[25]
GSM1019163
[26]
GSM1019164
[27]
GSM1019165
[28]
GSM1019166
[29]
GSM1019167
[30]
GSM1019168
[31]
GSM1019169
[32]
GSM1019170
[33]
GSM1019171
[34]
GSM1019172
[35]
GSM1019173
[36]
GSM1019174
[37]
GSM1019175
[38]
GSM1019176
[39]
GSM1019177
[40]
GSM1019178
[41]
GSM1019179
[42]
GSM1019180
[43]
GSM1019181
[44]
GSM1019182
[45]
GSM1019183
[46]
GSM1019184
[47]
GSM1019185
[48]
GSM1019186
[49]
GSM1019187
[50]
GSM1019188
[51]
GSM1019189
[52]
GSM1019190
[53]
GSM1019191
[54]
GSM1019192
[55]
GSM1019193
[56]
GSM1019194
[57]
GSM1019195
[58]
GSM1019196
[59]
GSM1019197
[60]
GSM1019198
[61]
GSM1019199
[62]
GSM1019200
[63]
GSM1019201
[64]
GSM1019202
[65]
GSM1019203
[66]
GSM1019204
[67]
GSM1019205
[68]
GSM1019206
[69]
GSM1019207
[70]
GSM1019208
[71]
GSM1019209
[72]
GSM1019210
[73]
GSM1019211
[74]
GSM1019212
[75]
GSM1019213
[76]
GSM1019214
[77]
GSM1019215
[78]
GSM1019216
[79]
GSM1019217
[80]
GSM1019218
[81]
GSM1019219
[82]
GSM1019220
[83]
GSM1019221
[84]
GSM1019222
[85]
GSM1019223
[86]
GSM1019224
[87]
GSM1019225
[88]
GSM1019226
[89]
GSM1019227
[90]
GSM1019228
[91]
GSM1019229
[92]
GSM1019230
[93]
GSM1019231
[94]
GSM1019232
[95]
GSM1019233
[96]
GSM1019234
[97]
GSM1019235
[98]
GSM1019236
[99]
GSM1019237
[100]
GSM1019238
[101]
GSM1019239
[102]
GSM1019240
[103]
GSM1019241
[104]
GSM1019242
[105]
GSM1019243
[106]
GSM1019244
[107]
GSM1019245
[108]
GSM1019246
[109]
GSM1019247
[110]
GSM1019248
[111]
GSM1019249
[112]
GSM1019250
[113]
GSM1019251
[114]
GSM1019252
[115]
GSM1019253
[116]
GSM1019254
[117]
GSM1019255
[118]
GSM1019256
[119]
GSM1019257
[120]
GSM1019258
[121]
GSM1019259
[122]
GSM1019260
[123]
GSM1019261
[124]
GSM1019262
[125]
GSM1019263
[126]
GSM1019264
[127]
GSM1019265
[128]
GSM1019266
[129]
GSM1019267
[130]
GSM1019268
[131]
GSM1019269
[132]
GSM1019270
[133]
GSM1019271
[134]
GSM1019272
[135]
GSM1019273
[136]
GSM1019274
[137]
GSM1019275
[138]
GSM1019276
[139]
GSM1019277
[140]
GSM1019278
[141]
GSM1019279
[142]
GSM1019280
[143]
GSM1019281
[144]
GSM1019282
[145]
GSM1019283
[146]
GSM1019284
[147]
GSM1019285
[148]
GSM1019286
[149]
GSM1019287
[150]
GSM1019288
[151]
GSM1019289
[152]
GSM1019290
[153]
GSM1019291
[154]
GSM1019292
[155]
GSM1019293
[156]
GSM1019294
[157]
GSM1019295
[158]
GSM1019296
[159]
GSM1019297
[160]
GSM1019298
[161]
GSM1019299
[162]
GSM1019300
[163]
GSM1019301
[164]
GSM1019302
[165]
GSM1019303
[166]
GSM1019304
[167]
GSM1019305
[168]
GSM1019306
[169]
GSM1019307
[170]
GSM1019308
[171]
GSM1019309
[172]
GSM1019310
[173]
GSM1019311
[174]
GSM1019312
[175]
GSM1019313
[176]
GSM1019314
[177]
GSM1019315
[178]
GSM1019316
[179]
GSM1019317
[180]
GSM1019318
[181]
GSM1019319
[182]
GSM1019320
[183]
GSM1019321
[184]
GSM1019322
[185]
GSM1019323
[186]
GSM1019324
[187]
GSM1019325
[188]
GSM1019326
[189]
GSM1019327
[190]
GSM1019328
[191]
GSM1019329
[192]
GSM1019330
[193]
GSM1019331
[194]
GSM1019332
[195]
GSM1019333
sample_count
196
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Biomarker discovery in non-small cell lung cancer: integrating gene expression profiling, meta-analysis and tissue microarray validation
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[4] object · 15 fields
id
data:geo:GSE50081
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=GSE50081
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE50081
version
null
note
Availability of Data and Materials: The datasets analyzed in this study can be found in TCGA portal (https://portal.gdc.cancer.gov/) and GEO portal (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE30219& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50081& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37745& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE31210). Further inquiries can be directed to the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Availability of Data and Materials: The datasets analyzed in this study can be found in TCGA portal (https://portal.gdc.cancer.gov/) and GEO portal (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE30219& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50081& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37745& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE31210). Further inquiries can be directed to the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 181 items
[0]
GSM1213669
[1]
GSM1213670
[2]
GSM1213671
[3]
GSM1213672
[4]
GSM1213673
[5]
GSM1213674
[6]
GSM1213675
[7]
GSM1213676
[8]
GSM1213677
[9]
GSM1213678
[10]
GSM1213679
[11]
GSM1213680
[12]
GSM1213681
[13]
GSM1213682
[14]
GSM1213683
[15]
GSM1213684
[16]
GSM1213685
[17]
GSM1213686
[18]
GSM1213687
[19]
GSM1213688
[20]
GSM1213689
[21]
GSM1213690
[22]
GSM1213691
[23]
GSM1213692
[24]
GSM1213693
[25]
GSM1213694
[26]
GSM1213695
[27]
GSM1213696
[28]
GSM1213697
[29]
GSM1213698
[30]
GSM1213699
[31]
GSM1213700
[32]
GSM1213701
[33]
GSM1213702
[34]
GSM1213703
[35]
GSM1213704
[36]
GSM1213705
[37]
GSM1213706
[38]
GSM1213707
[39]
GSM1213708
[40]
GSM1213709
[41]
GSM1213710
[42]
GSM1213711
[43]
GSM1213712
[44]
GSM1213713
[45]
GSM1213714
[46]
GSM1213715
[47]
GSM1213716
[48]
GSM1213717
[49]
GSM1213718
[50]
GSM1213719
[51]
GSM1213720
[52]
GSM1213721
[53]
GSM1213722
[54]
GSM1213723
[55]
GSM1213724
[56]
GSM1213725
[57]
GSM1213726
[58]
GSM1213727
[59]
GSM1213728
[60]
GSM1213729
[61]
GSM1213730
[62]
GSM1213731
[63]
GSM1213732
[64]
GSM1213733
[65]
GSM1213734
[66]
GSM1213735
[67]
GSM1213736
[68]
GSM1213737
[69]
GSM1213738
[70]
GSM1213739
[71]
GSM1213740
[72]
GSM1213741
[73]
GSM1213742
[74]
GSM1213743
[75]
GSM1213744
[76]
GSM1213745
[77]
GSM1213746
[78]
GSM1213747
[79]
GSM1213748
[80]
GSM1213749
[81]
GSM1213750
[82]
GSM1213751
[83]
GSM1213752
[84]
GSM1213753
[85]
GSM1213754
[86]
GSM1213755
[87]
GSM1213756
[88]
GSM1213757
[89]
GSM1213758
[90]
GSM1213759
[91]
GSM1213760
[92]
GSM1213761
[93]
GSM1213762
[94]
GSM1213763
[95]
GSM1213764
[96]
GSM1213765
[97]
GSM1213766
[98]
GSM1213767
[99]
GSM1213768
[100]
GSM1213769
[101]
GSM1213770
[102]
GSM1213771
[103]
GSM1213772
[104]
GSM1213773
[105]
GSM1213774
[106]
GSM1213775
[107]
GSM1213776
[108]
GSM1213777
[109]
GSM1213778
[110]
GSM1213779
[111]
GSM1213780
[112]
GSM1213781
[113]
GSM1213782
[114]
GSM1213783
[115]
GSM1213784
[116]
GSM1213785
[117]
GSM1213786
[118]
GSM1213787
[119]
GSM1213788
[120]
GSM1213789
[121]
GSM1213790
[122]
GSM1213791
[123]
GSM1213792
[124]
GSM1213793
[125]
GSM1213794
[126]
GSM1213795
[127]
GSM1213796
[128]
GSM1213797
[129]
GSM1213798
[130]
GSM1213799
[131]
GSM1213800
[132]
GSM1213801
[133]
GSM1213802
[134]
GSM1213803
[135]
GSM1213804
[136]
GSM1213805
[137]
GSM1213806
[138]
GSM1213807
[139]
GSM1213808
[140]
GSM1213809
[141]
GSM1213810
[142]
GSM1213811
[143]
GSM1213812
[144]
GSM1213813
[145]
GSM1213814
[146]
GSM1213815
[147]
GSM1213816
[148]
GSM1213817
[149]
GSM1213818
[150]
GSM1213819
[151]
GSM1213820
[152]
GSM1213821
[153]
GSM1213822
[154]
GSM1213823
[155]
GSM1213824
[156]
GSM1213825
[157]
GSM1213826
[158]
GSM1213827
[159]
GSM1213828
[160]
GSM1213829
[161]
GSM1213830
[162]
GSM1213831
[163]
GSM1213832
[164]
GSM1213833
[165]
GSM1213834
[166]
GSM1213835
[167]
GSM1213836
[168]
GSM1213837
[169]
GSM1213838
[170]
GSM1213839
[171]
GSM1213840
[172]
GSM1213841
[173]
GSM1213842
[174]
GSM1213843
[175]
GSM1213844
[176]
GSM1213845
[177]
GSM1213846
[178]
GSM1213847
[179]
GSM1213848
[180]
GSM1213849
sample_count
181
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Validation of a histology-independent prognostic gene signature for early stage, non-small cell lung cancer including stage IA patients
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 8 items
[0]
asset:data:geo:GSE30219 not downloaded
[1]
asset:data:geo:GSE30219 licence not read
[2]
asset:data:geo:GSE31210 not downloaded
[3]
asset:data:geo:GSE31210 licence not read
[4]
asset:data:geo:GSE37745 not downloaded
[5]
asset:data:geo:GSE37745 licence not read
[6]
asset:data:geo:GSE50081 not downloaded
[7]
asset:data:geo:GSE50081 licence not read
analysis object · 4 fields
state
partial
methods array · 4 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
verbatim
quote
Univariate Cox regression model and a subsequent stepwise multivariate Cox regression were employed to screen the most significant survival-related genes.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
wilcoxon
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_wilcoxon
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
Wilcoxon
[2] object · 10 fields
id
method-3
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
0.8
band
high
quote
Kaplan-Meier
[3] object · 10 fields
id
method-4
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 · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.8
band
high
quote
log-rank
targets array · 1 item
[0] object · 8 fields
id
target-published-estimate
claim_id
claim-target-result
operation
cox_ph
unit
p-value
tolerance
null
state
complete
note
The threshold the paper applied to its own result, as the paper states it. A run that reproduces the effect is judged against this threshold.
gaps array · 1 item
[0]
method.reader_differs_from_extractor
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 4 items
[0]
GSE30219
[1]
GSE50081
[2]
GSE37745
[3]
GSE31210
resolved_accessions array · 4 items
[0]
GSE30219
[1]
GSE50081
[2]
GSE37745
[3]
GSE31210
statements array · 1 item
[0]
Availability of Data and Materials: The datasets analyzed in this study can be found in TCGA portal (https://portal.gdc.cancer.gov/) and GEO portal (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE30219& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50081& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37745& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE31210). Further inquiries can be directed to the corresponding author.
basis
The paper names GSE30219, GSE50081, GSE37745, GSE31210 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
cox_ph
assets array · 2 items
[0]
source:pmid:34705571
[1]
data:geo:GSE30219
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:GSE30219
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T17:05:07Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
9327
completion_tokens
2630
cached_tokens
256
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:34705571
type
paper
label
pmid:34705571
[1] object · 3 fields
id
source:pmid:34705571
type
manuscript
label
PMID 34705571 full text
[2] object · 3 fields
id
data:geo:GSE30219
type
dataset
label
GEO GSE30219
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:34705571
type
paper
label
pmid:34705571
[1] object · 3 fields
id
source:pmid:34705571
type
manuscript
label
PMID 34705571 full text
[2] object · 3 fields
id
data:geo:GSE30219
type
dataset
label
GEO GSE30219
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-34705571
type
extraction
used array · 1 item
[0]
source:pmid:34705571
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE30219
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE30219
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:34705571
parent_hash
sha256:d1291ccfbf73b08bc38c264ed4f5f08306c51da8408a276a67708e67a85190da
fork_of
null
gaps array · 13 items
[0]
asset:data:geo:GSE30219 licence not read
[1]
asset:data:geo:GSE30219 not downloaded
[2]
asset:data:geo:GSE31210 licence not read
[3]
asset:data:geo:GSE31210 not downloaded
[4]
asset:data:geo:GSE37745 licence not read
[5]
asset:data:geo:GSE37745 not downloaded
[6]
asset:data:geo:GSE50081 licence not read
[7]
asset:data:geo:GSE50081 not downloaded
[8]
execution.not_run
[9]
method.reader_differs_from_extractor
[10]
review.human_critique
[11]
review.independent_reader
[12]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
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99e1195c7d6f
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support_state
partial
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assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
ly, the role of risky CCL20 was validated by immunohistochemistry (IHC), and patients possessed higher CCL20 e
[1]
CCL20 was validated by immunohistochemistry (IHC), and patients possessed higher CCL20 expres
order_basis
paper_text_order:1346
id
assay:1
[1] object · 11 fields
role
analysis
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survival_analysis
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f2132e96ae6c7a4e
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cox_ph
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supported
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dsl_catalogue
f2132e96ae6c7a4e
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Univariate Cox regression model and a subsequent stepwise multivariate Cox regression were employed to screen the most significant survival-related genes.
order_basis
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34705571", "kind": "science-record", "revision": 4, "content_hash": "sha256:365beb365f8fc5cec0d47f67c6c6e41291717df53a209564f8ae37b06a7a857d", "created_at": "2026-11-01T17:36:22Z", "updated_at": "2026-11-01T22:05:01Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Systematic Analyses of a Chemokine Family-Based Risk Model Predicting Clinical Outcome and Immunotherapy Response in Lung Adenocarcinoma.", "doi": "10.1177/09636897211055046", "pmid": "34705571", "authors": ["Jiarui Chen", "Xingyu Liu", "Qiuji Wu", "Xueping Jiang", "Zihang Zeng", "Jiali Li", "Yanping Gao", "Yan Gong", "Conghua Xie"], "journal": "Cell transplantation", "year": 2021, "abstract": "Chemokines exhibited complicated functions in antitumor immunity, with their expression profile and clinical importance of lung adenocarcinoma (LUAD) patients remaining largely undetermined. This study aimed to explore the expression patterns of chemokine family in LUAD and construct a predictive chemokine family-based signature. A total of 497 samples were downloaded from the Cancer Genome Atlas (TCGA) data portal as the training set, and the combination of 4 representative Gene Expression Omnibus (GEO) datasets, including GSE30219, GSE50081, GSE37745, and GSE31210, were utilized as the validation set. A three gene-based signature was constructed using univariate and stepwise multivariate Cox regression analysis, classifying patients into high and low risk groups according to the overall survival. The independent GEO datasets were utilized to validate this signature. Another multivariate analysis revealed that this signature remained an independent prognostic factor in LUAD patients. Furthermore, patients in the low risk group featured immunoactive tumor microenvironment (TME), higher IPS scores and lower TIDE scores, and was regarded as the potential beneficiaries of immunotherapy. 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Further inquiries can be directed to the corresponding author.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1465989", "GSM1465990", "GSM1465991", "GSM1465992", "GSM1465993", "GSM1465994", "GSM1465995", "GSM1465996", "GSM1465997", "GSM1465998", "GSM1465999", "GSM748053", "GSM748054", "GSM748055", "GSM748056", "GSM748057", "GSM748058", "GSM748059", "GSM748060", "GSM748061", "GSM748062", "GSM748063", "GSM748064", "GSM748065", "GSM748066", "GSM748067", "GSM748068", "GSM748069", "GSM748070", "GSM748071", "GSM748072", "GSM748073", "GSM748074", "GSM748075", "GSM748076", "GSM748077", "GSM748078", "GSM748079", "GSM748080", "GSM748081", "GSM748083", "GSM748084", "GSM748085", "GSM748086", "GSM748087", "GSM748088", "GSM748089", "GSM748090", "GSM748091", "GSM748092", "GSM748093", "GSM748094", "GSM748095", "GSM748096", "GSM748097", "GSM748098", "GSM748099", "GSM748100", "GSM748101", "GSM748102", "GSM748103", "GSM748104", "GSM748105", "GSM748106", "GSM748107", 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The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE30219", "GSE50081", "GSE37745", "GSE31210"], "resolved_accessions": ["GSE30219", "GSE50081", "GSE37745", "GSE31210"], "statements": ["Availability of Data and Materials: The datasets analyzed in this study can be found in TCGA portal (https://portal.gdc.cancer.gov/) and GEO portal (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE30219& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50081& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37745& https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE31210). Further inquiries can be directed to the corresponding author."], "basis": "The paper names GSE30219, GSE50081, GSE37745, GSE31210 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["cox_ph"], "assets": ["source:pmid:34705571", "data:geo:GSE30219"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE30219"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T17:05:07Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 9327, "completion_tokens": 2630, "cached_tokens": 256}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:34705571", "type": "paper", "label": "pmid:34705571"}, {"id": "source:pmid:34705571", "type": "manuscript", "label": "PMID 34705571 full text"}, {"id": "data:geo:GSE30219", "type": "dataset", "label": "GEO GSE30219"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:34705571", "type": "paper", "label": "pmid:34705571"}, {"id": "source:pmid:34705571", "type": "manuscript", "label": "PMID 34705571 full text"}, {"id": "data:geo:GSE30219", "type": "dataset", "label": "GEO GSE30219"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-34705571", "type": "extraction", "used": ["source:pmid:34705571"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE30219", "type": "accession_resolution", "used": ["data:geo:GSE30219"], "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:34705571", "parent_hash": "sha256:d1291ccfbf73b08bc38c264ed4f5f08306c51da8408a276a67708e67a85190da", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE30219 licence not read", "asset:data:geo:GSE30219 not downloaded", "asset:data:geo:GSE31210 licence not read", "asset:data:geo:GSE31210 not downloaded", "asset:data:geo:GSE37745 licence not read", "asset:data:geo:GSE37745 not downloaded", "asset:data:geo:GSE50081 licence not read", "asset:data:geo:GSE50081 not downloaded", "execution.not_run", "method.reader_differs_from_extractor", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "ihc", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["ly, the role of risky CCL20 was validated by immunohistochemistry (IHC), and patients possessed higher CCL20 e", "CCL20 was validated by immunohistochemistry (IHC), and patients possessed higher CCL20 expres"], "order_basis": "paper_text_order:1346", "id": "assay:1"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["cox_ph"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Univariate Cox regression model and a subsequent stepwise multivariate Cox regression were employed to screen the most significant survival-related genes."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}