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pmid:32796516

Intratumoral Adipocyte-High Breast Cancer Enrich for Metastatic and Inflammation-Related Pathways but Associated with Less Cancer Cell Proliferation.

Yoshihisa Tokumaru · Masanori Oshi · Eriko Katsuta · Li Yan · Jing Li Huang · Masayuki Nagahashi · Nobuhisa Matsuhashi · Manabu Futamura · Kazuhiro Yoshida · Kazuaki Takabe

International journal of molecular sciences · 2020 doi:10.3390/ijms21165744

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Experiment

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Data

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Analysis

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title
Intratumoral Adipocyte-High Breast Cancer Enrich for Metastatic and Inflammation-Related Pathways but Associated with Less Cancer Cell Proliferation.
doi
10.3390/ijms21165744
pmid
32796516
authors array · 10 items
[0]
Yoshihisa Tokumaru
[1]
Masanori Oshi
[2]
Eriko Katsuta
[3]
Li Yan
[4]
Jing Li Huang
[5]
Masayuki Nagahashi
[6]
Nobuhisa Matsuhashi
[7]
Manabu Futamura
[8]
Kazuhiro Yoshida
[9]
Kazuaki Takabe
journal
International journal of molecular sciences
year
2020
abstract
Cancer-associated adipocytes are known to cause inflammation, leading to cancer progression and metastasis. The clinicopathological and transcriptomic data from 2256 patients with breast cancer were obtained based on three cohorts: The Cancer Genome Atlas (TCGA), GSE25066, and a study by Yau et al. For the current study, we defined the adipocyte, which is calculated by utilizing a computational algorithm, xCell, as "intratumoral adipocyte". These intratumoral adipocytes appropriately reflected mature adipocytes in a bulk tumor. The amount of intratumoral adipocytes demonstrated no relationship with survival. Intratumoral adipocyte-high tumors significantly enriched for metastasis and inflammation-related gene sets and are associated with a favorable tumor immune microenvironment, especially in the ER+/HER2- subtype. On the other hand, intratumoral adipocyte-low tumors significantly enriched for cell cycle and cell proliferation-related gene sets. Correspondingly, intratumoral adipocyte-low tumors are associated with advanced pathological grades and inversely correlated with MKI67 expression. In conclusion, a high amount of intratumoral adipocytes in breast cancer was associated with inflammation, metastatic pathways, cancer stemness, and favorable tumor immune microenvironment. However, a low amount of adipocytes was associated with a highly proliferative tumor in ER-positive breast cancer. This cancer biology may explain the reason why patient survival did not differ by the amount of adipocytes.
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Kaplan–Meier survival analysis was performed with greyzoneSurv packages in R for the survival analysis.
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A total of 1090 patient clinicopathological and gene expression data of The Cancer Genome Atlas (TCGA) Pan-Cancer study (TCGA PanCancer Atlas) was obtained through cBioPortal as previously described [17,19,40,41,48,60,61].
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GSM615288
[193]
GSM615289
[194]
GSM615290
[195]
GSM615291
[196]
GSM615292
[197]
GSM615293
[198]
GSM615294
[199]
GSM615295
[200]
GSM615296
[201]
GSM615297
[202]
GSM615298
[203]
GSM615299
[204]
GSM615300
[205]
GSM615301
[206]
GSM615302
[207]
GSM615303
[208]
GSM615304
[209]
GSM615305
[210]
GSM615306
[211]
GSM615307
[212]
GSM615308
[213]
GSM615309
[214]
GSM615310
[215]
GSM615311
[216]
GSM615312
[217]
GSM615313
[218]
GSM615314
[219]
GSM615315
[220]
GSM615316
[221]
GSM615317
[222]
GSM615318
[223]
GSM615319
[224]
GSM615320
[225]
GSM615321
[226]
GSM615322
[227]
GSM615323
[228]
GSM615324
[229]
GSM615325
[230]
GSM615326
[231]
GSM615327
[232]
GSM615328
[233]
GSM615329
[234]
GSM615330
[235]
GSM615331
[236]
GSM615332
[237]
GSM615333
[238]
GSM615334
[239]
GSM615335
[240]
GSM615336
[241]
GSM615337
[242]
GSM615338
[243]
GSM615339
[244]
GSM615340
[245]
GSM615341
[246]
GSM615342
[247]
GSM615343
[248]
GSM615344
[249]
GSM615345
[250]
GSM615346
[251]
GSM615347
[252]
GSM615348
[253]
GSM615349
[254]
GSM615350
[255]
GSM615351
[256]
GSM615352
[257]
GSM615353
[258]
GSM615354
[259]
GSM615355
[260]
GSM615356
[261]
GSM615357
[262]
GSM615358
[263]
GSM615359
[264]
GSM615360
[265]
GSM615361
[266]
GSM615362
[267]
GSM615363
[268]
GSM615364
[269]
GSM615365
[270]
GSM615366
[271]
GSM615367
[272]
GSM615368
[273]
GSM615369
[274]
GSM615370
[275]
GSM615371
[276]
GSM615372
[277]
GSM615373
[278]
GSM615374
[279]
GSM615375
[280]
GSM615376
[281]
GSM615377
[282]
GSM615378
[283]
GSM615379
[284]
GSM615380
[285]
GSM615381
[286]
GSM615382
[287]
GSM615383
[288]
GSM615384
[289]
GSM615385
[290]
GSM615386
[291]
GSM615387
[292]
GSM615388
[293]
GSM615389
[294]
GSM615390
[295]
GSM615391
[296]
GSM615392
[297]
GSM615393
[298]
GSM615394
[299]
GSM615395
[300]
GSM615396
[301]
GSM615397
[302]
GSM615398
[303]
GSM615399
[304]
GSM615400
[305]
GSM615401
[306]
GSM615402
[307]
GSM615403
[308]
GSM615404
[309]
GSM615405
[310]
GSM615631
[311]
GSM615632
[312]
GSM615633
[313]
GSM615634
[314]
GSM615635
[315]
GSM615636
[316]
GSM615637
[317]
GSM615638
[318]
GSM615639
[319]
GSM615640
[320]
GSM615641
[321]
GSM615642
[322]
GSM615643
[323]
GSM615644
[324]
GSM615645
[325]
GSM615646
[326]
GSM615647
[327]
GSM615648
[328]
GSM615649
[329]
GSM615650
[330]
GSM615651
[331]
GSM615652
[332]
GSM615653
[333]
GSM615654
[334]
GSM615655
[335]
GSM615656
[336]
GSM615657
[337]
GSM615658
[338]
GSM615659
[339]
GSM615660
[340]
GSM615661
[341]
GSM615662
[342]
GSM615663
[343]
GSM615664
[344]
GSM615665
[345]
GSM615666
[346]
GSM615667
[347]
GSM615668
[348]
GSM615669
[349]
GSM615670
[350]
GSM615671
[351]
GSM615672
[352]
GSM615673
[353]
GSM615674
[354]
GSM615675
[355]
GSM615676
[356]
GSM615677
[357]
GSM615678
[358]
GSM615679
[359]
GSM615680
[360]
GSM615681
[361]
GSM615682
[362]
GSM615683
[363]
GSM615684
[364]
GSM615685
[365]
GSM615686
[366]
GSM615687
[367]
GSM615688
[368]
GSM615689
[369]
GSM615690
[370]
GSM615691
[371]
GSM615692
[372]
GSM615693
[373]
GSM615694
[374]
GSM615695
[375]
GSM615696
[376]
GSM615697
[377]
GSM615698
[378]
GSM615699
[379]
GSM615700
[380]
GSM615701
[381]
GSM615702
[382]
GSM615703
[383]
GSM615704
[384]
GSM615705
[385]
GSM615706
[386]
GSM615707
[387]
GSM615708
[388]
GSM615709
[389]
GSM615710
[390]
GSM615711
[391]
GSM615712
[392]
GSM615713
[393]
GSM615714
[394]
GSM615715
[395]
GSM615716
[396]
GSM615717
[397]
GSM615718
[398]
GSM615719
[399]
GSM615720
[400]
GSM615721
[401]
GSM615722
[402]
GSM615723
[403]
GSM615724
[404]
GSM615725
[405]
GSM615726
[406]
GSM615727
[407]
GSM615728
[408]
GSM615729
[409]
GSM615730
[410]
GSM615731
[411]
GSM615732
[412]
GSM615733
[413]
GSM615734
[414]
GSM615735
[415]
GSM615736
[416]
GSM615737
[417]
GSM615738
[418]
GSM615739
[419]
GSM615740
[420]
GSM615741
[421]
GSM615742
[422]
GSM615743
[423]
GSM615744
[424]
GSM615745
[425]
GSM615746
[426]
GSM615747
[427]
GSM615748
[428]
GSM615749
[429]
GSM615750
[430]
GSM615751
[431]
GSM615752
[432]
GSM615753
[433]
GSM615754
[434]
GSM615755
[435]
GSM615756
[436]
GSM615757
[437]
GSM615758
[438]
GSM615759
[439]
GSM615760
[440]
GSM615761
[441]
GSM615762
[442]
GSM615763
[443]
GSM615764
[444]
GSM615765
[445]
GSM615766
[446]
GSM615767
[447]
GSM615768
[448]
GSM615769
[449]
GSM615770
[450]
GSM615771
[451]
GSM615772
[452]
GSM615773
[453]
GSM615774
[454]
GSM615775
[455]
GSM615776
[456]
GSM615777
[457]
GSM615778
[458]
GSM615779
[459]
GSM615780
[460]
GSM615781
[461]
GSM615782
[462]
GSM615783
[463]
GSM615784
[464]
GSM615785
[465]
GSM615786
[466]
GSM615787
[467]
GSM615788
[468]
GSM615789
[469]
GSM615790
[470]
GSM615791
[471]
GSM615792
[472]
GSM615793
[473]
GSM615794
[474]
GSM615795
[475]
GSM615796
[476]
GSM615797
[477]
GSM615798
[478]
GSM615799
[479]
GSM615800
[480]
GSM615801
[481]
GSM615802
[482]
GSM615803
[483]
GSM615804
[484]
GSM615805
[485]
GSM615806
[486]
GSM615807
[487]
GSM615808
[488]
GSM615809
[489]
GSM615810
[490]
GSM615811
[491]
GSM615812
[492]
GSM615813
[493]
GSM615814
[494]
GSM615815
[495]
GSM615816
[496]
GSM615817
[497]
GSM615818
[498]
GSM615819
[499]
GSM615820
[500]
GSM615821
[501]
GSM615822
[502]
GSM615823
[503]
GSM615824
[504]
GSM615825
[505]
GSM615826
[506]
GSM615827
[507]
GSM615828
sample_count
508
group_sizes
null
group_sizes_basis
null
platform
96
taxon
Homo sapiens
title
Genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer
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:GSE32646
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=GSE32646
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE32646
version
null
note
A total of 1090 patient clinicopathological and gene expression data of The Cancer Genome Atlas (TCGA) Pan-Cancer study (TCGA PanCancer Atlas) was obtained through cBioPortal as previously described [17,19,40,41,48,60,61].
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
A total of 1090 patient clinicopathological and gene expression data of The Cancer Genome Atlas (TCGA) Pan-Cancer study (TCGA PanCancer Atlas) was obtained through cBioPortal as previously described [17,19,40,41,48,60,61].
access_statement_kind
repository_route_statement
sample_accessions array · 115 items
[0]
GSM809184
[1]
GSM809185
[2]
GSM809186
[3]
GSM809187
[4]
GSM809188
[5]
GSM809189
[6]
GSM809190
[7]
GSM809191
[8]
GSM809192
[9]
GSM809193
[10]
GSM809194
[11]
GSM809195
[12]
GSM809196
[13]
GSM809197
[14]
GSM809198
[15]
GSM809199
[16]
GSM809200
[17]
GSM809201
[18]
GSM809202
[19]
GSM809203
[20]
GSM809204
[21]
GSM809205
[22]
GSM809206
[23]
GSM809207
[24]
GSM809208
[25]
GSM809209
[26]
GSM809210
[27]
GSM809211
[28]
GSM809212
[29]
GSM809213
[30]
GSM809214
[31]
GSM809215
[32]
GSM809216
[33]
GSM809217
[34]
GSM809218
[35]
GSM809219
[36]
GSM809220
[37]
GSM809221
[38]
GSM809222
[39]
GSM809223
[40]
GSM809224
[41]
GSM809225
[42]
GSM809226
[43]
GSM809227
[44]
GSM809228
[45]
GSM809229
[46]
GSM809230
[47]
GSM809231
[48]
GSM809232
[49]
GSM809233
[50]
GSM809234
[51]
GSM809235
[52]
GSM809236
[53]
GSM809237
[54]
GSM809238
[55]
GSM809239
[56]
GSM809240
[57]
GSM809241
[58]
GSM809242
[59]
GSM809243
[60]
GSM809244
[61]
GSM809245
[62]
GSM809246
[63]
GSM809247
[64]
GSM809248
[65]
GSM809249
[66]
GSM809250
[67]
GSM809251
[68]
GSM809252
[69]
GSM809253
[70]
GSM809254
[71]
GSM809255
[72]
GSM809256
[73]
GSM809257
[74]
GSM809258
[75]
GSM809259
[76]
GSM809260
[77]
GSM809261
[78]
GSM809262
[79]
GSM809263
[80]
GSM809264
[81]
GSM809265
[82]
GSM809266
[83]
GSM809267
[84]
GSM809268
[85]
GSM809269
[86]
GSM809270
[87]
GSM809271
[88]
GSM809272
[89]
GSM809273
[90]
GSM809274
[91]
GSM809275
[92]
GSM809276
[93]
GSM809277
[94]
GSM809278
[95]
GSM809279
[96]
GSM809280
[97]
GSM809281
[98]
GSM809282
[99]
GSM809283
[100]
GSM809284
[101]
GSM809285
[102]
GSM809286
[103]
GSM809287
[104]
GSM809288
[105]
GSM809289
[106]
GSM809290
[107]
GSM809291
[108]
GSM809292
[109]
GSM809293
[110]
GSM809294
[111]
GSM809295
[112]
GSM809296
[113]
GSM809297
[114]
GSM809298
sample_count
115
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
GSTP1 expression predicts poor pathological complete response to neoadjuvant chemotherapy in ER-negative breast cancer
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 · 6 items
[0]
asset:data:geo:GSE20194 not downloaded
[1]
asset:data:geo:GSE20194 licence not read
[2]
asset:data:geo:GSE25066 not downloaded
[3]
asset:data:geo:GSE25066 licence not read
[4]
asset:data:geo:GSE32646 not downloaded
[5]
asset:data:geo:GSE32646 licence not read
analysis object · 4 fields
state
partial
methods array · 2 items
[0] object · 10 fields
id
method-1
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
[1] object · 10 fields
id
method-2
family
null
specific
null
label
Kaplan–Meier survival analysis
dsl_operations array · 0 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 0 items
evidence object · 3 fields
score
1
band
verbatim
quote
Kaplan–Meier survival analysis was performed with greyzoneSurv packages in R for the survival analysis.
targets array · 0 items
gaps array · 1 item
[0]
method.reader_named_unmapped
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 4 items
[0]
group_summary
[1]
welch_t
[2]
bootstrap_mean_difference
[3]
group_comparison_anova
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: anova.
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 · 3 items
[0]
GSE25066
[1]
GSE32646
[2]
GSE20194
resolved_accessions array · 3 items
[0]
GSE25066
[1]
GSE32646
[2]
GSE20194
statements array · 1 item
[0]
A total of 1090 patient clinicopathological and gene expression data of The Cancer Genome Atlas (TCGA) Pan-Cancer study (TCGA PanCancer Atlas) was obtained through cBioPortal as previously described [17,19,40,41,48,60,61].
basis
The paper names GSE25066, GSE32646, GSE20194 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 · 4 items
[0]
group_summary
[1]
welch_t
[2]
bootstrap_mean_difference
[3]
group_comparison_anova
assets array · 2 items
[0]
source:pmid:32796516
[1]
data:geo:GSE20194
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:GSE20194
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-10-31T18:21:58Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
null
calls
3
usage object · 3 fields
prompt_tokens
22549
completion_tokens
1848
cached_tokens
7680
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:32796516
type
paper
label
pmid:32796516
[1] object · 3 fields
id
source:pmid:32796516
type
manuscript
label
PMID 32796516 full text
[2] object · 3 fields
id
data:geo:GSE20194
type
dataset
label
GEO GSE20194
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:32796516
type
paper
label
pmid:32796516
[1] object · 3 fields
id
source:pmid:32796516
type
manuscript
label
PMID 32796516 full text
[2] object · 3 fields
id
data:geo:GSE20194
type
dataset
label
GEO GSE20194
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-32796516
type
extraction
used array · 1 item
[0]
source:pmid:32796516
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE20194
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE20194
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:32796516
parent_hash
sha256:44aa8cc5a28b4f5f96747ab929bdf95cab163901a628ce958e6676936e490030
fork_of
null
gaps array · 11 items
[0]
asset:data:geo:GSE20194 licence not read
[1]
asset:data:geo:GSE20194 not downloaded
[2]
asset:data:geo:GSE25066 licence not read
[3]
asset:data:geo:GSE25066 not downloaded
[4]
asset:data:geo:GSE32646 licence not read
[5]
asset:data:geo:GSE32646 not downloaded
[6]
execution.not_run
[7]
method.reader_named_unmapped
[8]
review.human_critique
[9]
review.independent_reader
[10]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
group_comparison
definition_version
f2132e96ae6c7a4e
required_operations array · 4 items
[0]
group_summary
[1]
welch_t
[2]
bootstrap_mean_difference
[3]
group_comparison_anova
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
ANOVA
order_basis
analysis_only
id
assay:1
Complete file
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The clinicopathological and transcriptomic data from 2256 patients with breast cancer were obtained based on three cohorts: The Cancer Genome Atlas (TCGA), GSE25066, and a study by Yau et al. For the current study, we defined the adipocyte, which is calculated by utilizing a computational algorithm, xCell, as \"intratumoral adipocyte\". These intratumoral adipocytes appropriately reflected mature adipocytes in a bulk tumor. The amount of intratumoral adipocytes demonstrated no relationship with survival. Intratumoral adipocyte-high tumors significantly enriched for metastasis and inflammation-related gene sets and are associated with a favorable tumor immune microenvironment, especially in the ER+/HER2- subtype. On the other hand, intratumoral adipocyte-low tumors significantly enriched for cell cycle and cell proliferation-related gene sets. Correspondingly, intratumoral adipocyte-low tumors are associated with advanced pathological grades and inversely correlated with MKI67 expression. In conclusion, a high amount of intratumoral adipocytes in breast cancer was associated with inflammation, metastatic pathways, cancer stemness, and favorable tumor immune microenvironment. However, a low amount of adipocytes was associated with a highly proliferative tumor in ER-positive breast cancer. This cancer biology may explain the reason why patient survival did not differ by the amount of adipocytes.", "claims": [{"id": "claim-method", "statement": "Kaplan–Meier survival analysis was performed with greyzoneSurv packages in R for the survival analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32796516", "locator": "sections[16] \"4.4. 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