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pmid:38493128

Single-cell transcriptomic sequencing data reveal aberrant DNA methylation in SMAD3 promoter region in tumor-associated fibroblasts affecting molecular mechanism of radiosensitivity in non-small cell lung cancer.

Fushi Han · Shuzhen Chen · Kangwei Zhang · Kunming Zhang · Meng Wang · Peijun Wang

Journal of translational medicine · 2024 doi:10.1186/s12967-024-05057-2

Paper

complete

Experiment

complete

Data

partial

Analysis

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Execution

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title
Single-cell transcriptomic sequencing data reveal aberrant DNA methylation in SMAD3 promoter region in tumor-associated fibroblasts affecting molecular mechanism of radiosensitivity in non-small cell lung cancer.
doi
10.1186/s12967-024-05057-2
pmid
38493128
authors array · 6 items
[0]
Fushi Han
[1]
Shuzhen Chen
[2]
Kangwei Zhang
[3]
Kunming Zhang
[4]
Meng Wang
[5]
Peijun Wang
journal
Journal of translational medicine
year
2024
abstract
OBJECTIVE: Non-small cell lung cancer (NSCLC) often exhibits resistance to radiotherapy, posing significant treatment challenges. This study investigates the role of SMAD3 in NSCLC, focusing on its potential in influencing radiosensitivity via the ITGA6/PI3K/Akt pathway. METHODS: The study utilized gene expression data from the GEO database to identify differentially expressed genes related to radiotherapy resistance in NSCLC. Using the GSE37745 dataset, prognostic genes were identified through Cox regression and survival analysis. Functional roles of target genes were explored using Gene Set Enrichment Analysis (GSEA) and co-expression analyses. Gene promoter methylation levels were assessed using databases like UALCAN, DNMIVD, and UCSC Xena, while the TISCH database provided insights into the correlation between target genes and CAFs. Experiments included RT-qPCR, Western blot, and immunohistochemistry on NSCLC patient samples, in vitro studies on isolated CAFs cells, and in vivo nude mouse tumor models. RESULTS: Fifteen key genes associated with radiotherapy resistance in NSCLC cells were identified. SMAD3 was recognized as an independent prognostic factor for NSCLC, linked to poor patient outcomes. High expression of SMAD3 was correlated with low DNA methylation in its promoter region and was enriched in CAFs. In vitro and in vivo experiments confirmed that SMAD3 promotes radiotherapy resistance by activating the ITGA6/PI3K/Akt signaling pathway. CONCLUSION: High expression of SMAD3 in NSCLC tissues, cells, and CAFs is closely associated with poor prognosis and increased radiotherapy resistance. SMAD3 is likely to enhance radiotherapy resistance in NSCLC cells by activating the ITGA6/PI3K/Akt signaling pathway.
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Following this, both univariate and multivariate Cox regression analyses were executed to ascertain independent prognostic factors for NSCLC.
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The datasets generated and/or analysed during the current study are available in the manuscript and supplementary materials.
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SMAD3 is likely to enhance radiotherapy resistance in NSCLC cells by activating the ITGA6/PI3K/Akt signaling pathway.
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SMAD3 is likely to enhance radiotherapy resistance in NSCLC cells by activating the ITGA6/PI3K/Akt signaling pathway.
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SMAD3 is likely to enhance radiotherapy resistance in NSCLC cells by activating the ITGA6/PI3K/Akt signaling pathway.
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GSM923175
[121]
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[122]
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[123]
GSM923178
[124]
GSM923179
[125]
GSM923180
[126]
GSM923181
[127]
GSM923182
[128]
GSM923183
[129]
GSM923184
[130]
GSM923185
sample_count
131
group_sizes
null
group_sizes_basis
null
platform
6244
taxon
Homo sapiens
title
Expression Data from human Lung tissue of Patients with Non Small Cell Lung Cancer (NSCLC)
resolution_checked_at
2026-11-01T17:30:42Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[6] 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
The datasets generated and/or analysed during the current study are available in the manuscript and supplementary materials.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets generated and/or analysed during the current study are available in the manuscript and supplementary materials.
access_statement_kind
data_availability_statement
sample_accessions array · 196 items
[0]
GSM1019138
[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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[7]
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[8]
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[9]
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[10]
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[11]
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[12]
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[13]
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[14]
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[15]
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[16]
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[17]
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[18]
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[19]
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[20]
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[21]
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[22]
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[23]
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[24]
GSM1019162
[25]
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[26]
GSM1019164
[27]
GSM1019165
[28]
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[29]
GSM1019167
[30]
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[31]
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[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]
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[52]
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[53]
GSM1019191
[54]
GSM1019192
[55]
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[56]
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[57]
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[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
[7] object · 15 fields
id
data:geo:GSE44077
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=GSE44077
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE44077
version
null
note
The datasets generated and/or analysed during the current study are available in the manuscript and supplementary materials.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets generated and/or analysed during the current study are available in the manuscript and supplementary materials.
access_statement_kind
data_availability_statement
sample_accessions array · 226 items
[0]
GSM1077844
[1]
GSM1077845
[2]
GSM1077846
[3]
GSM1077847
[4]
GSM1077848
[5]
GSM1077849
[6]
GSM1077850
[7]
GSM1077851
[8]
GSM1077852
[9]
GSM1077853
[10]
GSM1077854
[11]
GSM1077855
[12]
GSM1077856
[13]
GSM1077857
[14]
GSM1077858
[15]
GSM1077859
[16]
GSM1077860
[17]
GSM1077861
[18]
GSM1077862
[19]
GSM1077863
[20]
GSM1077864
[21]
GSM1077865
[22]
GSM1077866
[23]
GSM1077867
[24]
GSM1077868
[25]
GSM1077869
[26]
GSM1077870
[27]
GSM1077871
[28]
GSM1077872
[29]
GSM1077873
[30]
GSM1077874
[31]
GSM1077875
[32]
GSM1077876
[33]
GSM1077877
[34]
GSM1077878
[35]
GSM1077879
[36]
GSM1077880
[37]
GSM1077881
[38]
GSM1077882
[39]
GSM1077883
[40]
GSM1077884
[41]
GSM1077885
[42]
GSM1077886
[43]
GSM1077887
[44]
GSM1077888
[45]
GSM1077889
[46]
GSM1077890
[47]
GSM1077891
[48]
GSM1077892
[49]
GSM1077893
[50]
GSM1077894
[51]
GSM1077895
[52]
GSM1077896
[53]
GSM1077897
[54]
GSM1077898
[55]
GSM1077899
[56]
GSM1077900
[57]
GSM1077901
[58]
GSM1077902
[59]
GSM1077903
[60]
GSM1077904
[61]
GSM1077905
[62]
GSM1077906
[63]
GSM1077907
[64]
GSM1077908
[65]
GSM1077909
[66]
GSM1077910
[67]
GSM1077911
[68]
GSM1077912
[69]
GSM1077913
[70]
GSM1077914
[71]
GSM1077915
[72]
GSM1077916
[73]
GSM1077917
[74]
GSM1077918
[75]
GSM1077919
[76]
GSM1077920
[77]
GSM1077921
[78]
GSM1077922
[79]
GSM1077923
[80]
GSM1077924
[81]
GSM1077925
[82]
GSM1077926
[83]
GSM1077927
[84]
GSM1077928
[85]
GSM1077929
[86]
GSM1077930
[87]
GSM1077931
[88]
GSM1077932
[89]
GSM1077933
[90]
GSM1077934
[91]
GSM1077935
[92]
GSM1077936
[93]
GSM1077937
[94]
GSM1077938
[95]
GSM1077939
[96]
GSM1077940
[97]
GSM1077941
[98]
GSM1077942
[99]
GSM1077943
[100]
GSM1077944
[101]
GSM1077945
[102]
GSM1077946
[103]
GSM1077947
[104]
GSM1077948
[105]
GSM1077949
[106]
GSM1077950
[107]
GSM1077951
[108]
GSM1077952
[109]
GSM1077953
[110]
GSM1077954
[111]
GSM1077955
[112]
GSM1077956
[113]
GSM1077957
[114]
GSM1077958
[115]
GSM1077959
[116]
GSM1077960
[117]
GSM1077961
[118]
GSM1077962
[119]
GSM1077963
[120]
GSM1077964
[121]
GSM1077965
[122]
GSM1077966
[123]
GSM1077967
[124]
GSM1077968
[125]
GSM1077969
[126]
GSM1077970
[127]
GSM1077971
[128]
GSM1077972
[129]
GSM1077973
[130]
GSM1077974
[131]
GSM1077975
[132]
GSM1077976
[133]
GSM1077977
[134]
GSM1077978
[135]
GSM1077979
[136]
GSM1077980
[137]
GSM1077981
[138]
GSM1077982
[139]
GSM1077983
[140]
GSM1077984
[141]
GSM1077985
[142]
GSM1077986
[143]
GSM1077987
[144]
GSM1077988
[145]
GSM1077989
[146]
GSM1077990
[147]
GSM1077991
[148]
GSM1077992
[149]
GSM1077993
[150]
GSM1077994
[151]
GSM1077995
[152]
GSM1077996
[153]
GSM1077997
[154]
GSM1077998
[155]
GSM1077999
[156]
GSM1078000
[157]
GSM1078001
[158]
GSM1078002
[159]
GSM1078003
[160]
GSM1078004
[161]
GSM1078005
[162]
GSM1078006
[163]
GSM1078007
[164]
GSM1078008
[165]
GSM1078009
[166]
GSM1078010
[167]
GSM1078011
[168]
GSM1078012
[169]
GSM1078013
[170]
GSM1078014
[171]
GSM1078015
[172]
GSM1078016
[173]
GSM1078017
[174]
GSM1078018
[175]
GSM1078019
[176]
GSM1078020
[177]
GSM1078021
[178]
GSM1078022
[179]
GSM1078023
[180]
GSM1078024
[181]
GSM1078025
[182]
GSM1078026
[183]
GSM1078027
[184]
GSM1078028
[185]
GSM1078029
[186]
GSM1078030
[187]
GSM1078031
[188]
GSM1078032
[189]
GSM1078033
[190]
GSM1078034
[191]
GSM1078035
[192]
GSM1078036
[193]
GSM1078037
[194]
GSM1078038
[195]
GSM1078039
[196]
GSM1078040
[197]
GSM1078041
[198]
GSM1078042
[199]
GSM1078043
[200]
GSM1078044
[201]
GSM1078045
[202]
GSM1078046
[203]
GSM1078047
[204]
GSM1078048
[205]
GSM1078049
[206]
GSM1078050
[207]
GSM1078051
[208]
GSM1078052
[209]
GSM1078053
[210]
GSM1078054
[211]
GSM1078055
[212]
GSM1078056
[213]
GSM1078057
[214]
GSM1078058
[215]
GSM1078059
[216]
GSM1078060
[217]
GSM1078061
[218]
GSM1078062
[219]
GSM1078063
[220]
GSM1078064
[221]
GSM1078065
[222]
GSM1078066
[223]
GSM1078067
[224]
GSM1078068
[225]
GSM1078069
sample_count
226
group_sizes
null
group_sizes_basis
null
platform
6244
taxon
Homo sapiens
title
Gene expression profiling of the adjacent airway field cancerization in early stage NSCLC
resolution_checked_at
2026-11-01T20:16:08Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 14 items
[0]
asset:data:geo:GSE18842 not downloaded
[1]
asset:data:geo:GSE18842 licence not read
[2]
asset:data:geo:GSE20549 not downloaded
[3]
asset:data:geo:GSE20549 licence not read
[4]
asset:data:geo:GSE21933 not downloaded
[5]
asset:data:geo:GSE21933 licence not read
[6]
asset:data:geo:GSE2514 not downloaded
[7]
asset:data:geo:GSE2514 licence not read
[8]
asset:data:geo:GSE31552 not downloaded
[9]
asset:data:geo:GSE31552 licence not read
[10]
asset:data:geo:GSE37745 not downloaded
[11]
asset:data:geo:GSE37745 licence not read
[12]
asset:data:geo:GSE44077 not downloaded
[13]
asset:data:geo:GSE44077 licence not read
analysis object · 4 fields
state
partial
methods array · 3 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
Following this, both univariate and multivariate Cox regression analyses were executed to ascertain independent prognostic factors for NSCLC.
[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
correlation_analysis
specific
spearman
label
Correlation analysis
dsl_operations array · 1 item
[0]
spearman_rho
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
paired_numeric_columns
evidence object · 3 fields
score
0.8
band
high
quote
Spearman correlation
targets array · 0 items
gaps array · 1 item
[0]
method.reader_differs_from_extractor
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
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 · 7 items
[0]
GSE2514
[1]
GSE18842
[2]
GSE21933
[3]
GSE31552
[4]
GSE44077
[5]
GSE20549
[6]
GSE37745
resolved_accessions array · 7 items
[0]
GSE2514
[1]
GSE18842
[2]
GSE21933
[3]
GSE31552
[4]
GSE44077
[5]
GSE20549
[6]
GSE37745
statements array · 1 item
[0]
The datasets generated and/or analysed during the current study are available in the manuscript and supplementary materials.
basis
The paper names GSE2514, GSE18842, GSE21933, GSE31552, GSE44077, GSE20549, GSE37745 in 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:38493128
[1]
data:geo:GSE18842
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:GSE18842
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T19:12:10Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
17359
completion_tokens
2785
cached_tokens
264
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:38493128
type
paper
label
pmid:38493128
[1] object · 3 fields
id
source:pmid:38493128
type
manuscript
label
PMID 38493128 full text
[2] object · 3 fields
id
data:geo:GSE18842
type
dataset
label
GEO GSE18842
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
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classification
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target genes and CAFs. Experiments included RT-qPCR, Western blot, and immunohistochemistry on N
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LC, representing a high-risk gene (Fig. 2A). RT-qPCR data confirmed that the expression of the ab
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38493128", "kind": "science-record", "revision": 4, "content_hash": "sha256:e40153cd691272deec9233ea0da64710761c8681c122798bc0ad3dd95ef35811", "created_at": "2026-11-01T19:20:26Z", "updated_at": "2026-11-01T22:11:27Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Single-cell transcriptomic sequencing data reveal aberrant DNA methylation in SMAD3 promoter region in tumor-associated fibroblasts affecting molecular mechanism of radiosensitivity in non-small cell lung cancer.", "doi": "10.1186/s12967-024-05057-2", "pmid": "38493128", "authors": ["Fushi Han", "Shuzhen Chen", "Kangwei Zhang", "Kunming Zhang", "Meng Wang", "Peijun Wang"], "journal": "Journal of translational medicine", "year": 2024, "abstract": "OBJECTIVE: Non-small cell lung cancer (NSCLC) often exhibits resistance to radiotherapy, posing significant treatment challenges. This study investigates the role of SMAD3 in NSCLC, focusing on its potential in influencing radiosensitivity via the ITGA6/PI3K/Akt pathway.\nMETHODS: The study utilized gene expression data from the GEO database to identify differentially expressed genes related to radiotherapy resistance in NSCLC. Using the GSE37745 dataset, prognostic genes were identified through Cox regression and survival analysis. Functional roles of target genes were explored using Gene Set Enrichment Analysis (GSEA) and co-expression analyses. Gene promoter methylation levels were assessed using databases like UALCAN, DNMIVD, and UCSC Xena, while the TISCH database provided insights into the correlation between target genes and CAFs. Experiments included RT-qPCR, Western blot, and immunohistochemistry on NSCLC patient samples, in vitro studies on isolated CAFs cells, and in vivo nude mouse tumor models.\nRESULTS: Fifteen key genes associated with radiotherapy resistance in NSCLC cells were identified. SMAD3 was recognized as an independent prognostic factor for NSCLC, linked to poor patient outcomes. High expression of SMAD3 was correlated with low DNA methylation in its promoter region and was enriched in CAFs. In vitro and in vivo experiments confirmed that SMAD3 promotes radiotherapy resistance by activating the ITGA6/PI3K/Akt signaling pathway.\nCONCLUSION: High expression of SMAD3 in NSCLC tissues, cells, and CAFs is closely associated with poor prognosis and increased radiotherapy resistance. 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Experiments included RT-qPCR, Western blot, and immunohistochemistry on N", "rget genes and CAFs. Experiments included RT-qPCR, Western blot, and immunohistochemistry on N", "LC, representing a high-risk gene (Fig. 2A). RT-qPCR data confirmed that the expression of the ab", "ples of NSCLC patients (n = 120) measured by RT-qPCR. * p < 0.05. C Correlation between SMAD3 exp"], "order_basis": "paper_text_order:1039", "id": "assay:1"}, {"role": "data_generation", "definition_id": "western_blot", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["enes and CAFs. 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D Immunohistochemistry of SMAD3 protein in normal lung tissues and"], "order_basis": "paper_text_order:1065", "id": "assay:3"}, {"role": "data_generation", "definition_id": "animal_model", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["in vitro studies on isolated CAFs cells, and in vivo nude mouse tumor models. RESULTS: Fifteen ke", "egion and was enriched in CAFs. In vitro and in vivo experiments confirmed that SMAD3 promotes ra", "ies on isolated CAFs cells, and in vivo nude mouse tumor models. 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