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pmid:32974187

Matrix Metallopeptidase 14: A Candidate Prognostic Biomarker for Diffuse Large B-Cell Lymphoma.

Chengliang Yin · Junyan Zhang · Ming Shen · Zhenyang Gu · Yan Li · Wanguo Xue · Jinlong Shi · Wenrong Huang

Frontiers in oncology · 2020 doi:10.3389/fonc.2020.01520

Paper

complete

Experiment

complete

Data

partial

Analysis

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Execution

absent

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pmid:32974187
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2026-11-01T15:41:11Z
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title
Matrix Metallopeptidase 14: A Candidate Prognostic Biomarker for Diffuse Large B-Cell Lymphoma.
doi
10.3389/fonc.2020.01520
pmid
32974187
authors array · 8 items
[0]
Chengliang Yin
[1]
Junyan Zhang
[2]
Ming Shen
[3]
Zhenyang Gu
[4]
Yan Li
[5]
Wanguo Xue
[6]
Jinlong Shi
[7]
Wenrong Huang
journal
Frontiers in oncology
year
2020
abstract
BACKGROUND: Matrix metallopeptidase 14 (MMP14) is an important gene in the regulation of T-cell function. However, the correlation between MMP14 expression, prognosis, and immune cell infiltration in diffuse large B-cell lymphoma (DLBCL) remains unclear. METHODS: We investigated the influence of MMP14 on clinical prognosis using data obtained from three Gene Expression Omnibus (GEO) database sets (GSE98588, GSE10846, and GSE4475). The expression of MMP14 was analyzed using the Gene Expression Profiling Interactive Analysis (GEPIA). The correlation between MMP14 and immune cell infiltration was investigated using the Cell-type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT) and Tumor Immune Estimation Resource (TIMER) tools. In addition, the correlation between MMP14 expression and immune gene markers was analyzed by TIMER and GEPIA. RESULTS: MMP14 expression positively correlated with favorable progression-free survival (PFS; GSE98588, P = 0.02) and overall survival (OS; GSE98588, P = 0.003; GSE10846, P = 5.517e-05; and GSE4475, P = 9.85e-04). Moreover, MMP14 expression was higher in DLBCL tumors than in normal tissues. Regarding clinical characteristics, high MMP14 expression was found to be correlated with race. MMP14 expression was also correlated with immune cell infiltration and had a remarkable correlation with various immune marker sets. It was found that M0 macrophages were the immune cells most related to survival, decreasing with the increase in Ann Arbor clinical stage. The results especially showed that MMP14 was a prognostic biomarker and related to the macrophages M0. CONCLUSION: The results suggest that MMP14 is a novel prognostic molecular marker for DLBCL and is related to the immune cell infiltration, especially related to the macrophages M0. Our study provides insights for understanding the potential roles of MMP14 in tumor immunology and its suitability as a prognosis biomarker in DLBCL.
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We performed Kaplan–Meier analysis to measure the OS of the 48 patients obtained from TCGA based on the abundance ratio of the 11 identified immune cell types, for which the cut-off level was set at the median value.
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sections[7] "Clinical Relationship With the Immune Cell Most Related to Survival" paragraph 2
quote
We performed Kaplan–Meier analysis to measure the OS of the 48 patients obtained from TCGA based on the abundance ratio of the 11 identified immune cell types, for which the cut-off level was set at the median value.
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sections[16] "Data Availability Statement" paragraph 2
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The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.
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GSM100500
[47]
GSM100501
[48]
GSM100502
[49]
GSM100503
[50]
GSM100504
[51]
GSM100505
[52]
GSM100506
[53]
GSM100507
[54]
GSM100508
[55]
GSM100509
[56]
GSM100510
[57]
GSM100511
[58]
GSM100512
[59]
GSM100513
[60]
GSM100514
[61]
GSM100515
[62]
GSM100516
[63]
GSM100517
[64]
GSM100518
[65]
GSM100519
[66]
GSM100520
[67]
GSM100521
[68]
GSM100522
[69]
GSM100523
[70]
GSM100524
[71]
GSM100525
[72]
GSM100526
[73]
GSM100527
[74]
GSM100528
[75]
GSM100529
[76]
GSM100530
[77]
GSM100531
[78]
GSM100532
[79]
GSM100533
[80]
GSM100534
[81]
GSM100535
[82]
GSM100536
[83]
GSM100537
[84]
GSM100538
[85]
GSM100539
[86]
GSM100540
[87]
GSM100541
[88]
GSM100542
[89]
GSM100543
[90]
GSM100544
[91]
GSM100545
[92]
GSM100546
[93]
GSM100547
[94]
GSM100548
[95]
GSM100549
[96]
GSM100550
[97]
GSM100551
[98]
GSM100552
[99]
GSM100553
[100]
GSM100554
[101]
GSM100555
[102]
GSM100556
[103]
GSM100557
[104]
GSM100558
[105]
GSM100559
[106]
GSM100560
[107]
GSM100561
[108]
GSM100562
[109]
GSM100563
[110]
GSM100564
[111]
GSM100565
[112]
GSM100566
[113]
GSM100567
[114]
GSM100568
[115]
GSM100569
[116]
GSM100570
[117]
GSM100571
[118]
GSM100572
[119]
GSM100573
[120]
GSM100574
[121]
GSM100575
[122]
GSM100576
[123]
GSM100577
[124]
GSM100578
[125]
GSM100579
[126]
GSM100580
[127]
GSM100581
[128]
GSM100582
[129]
GSM100583
[130]
GSM100584
[131]
GSM100585
[132]
GSM100586
[133]
GSM100587
[134]
GSM100588
[135]
GSM100589
[136]
GSM100590
[137]
GSM100591
[138]
GSM100592
[139]
GSM100593
[140]
GSM100594
[141]
GSM100595
[142]
GSM100596
[143]
GSM100597
[144]
GSM100598
[145]
GSM100599
[146]
GSM100600
[147]
GSM100601
[148]
GSM100602
[149]
GSM100603
[150]
GSM100604
[151]
GSM100605
[152]
GSM100606
[153]
GSM100607
[154]
GSM100608
[155]
GSM100609
[156]
GSM100610
[157]
GSM100611
[158]
GSM100612
[159]
GSM100613
[160]
GSM100614
[161]
GSM100615
[162]
GSM100616
[163]
GSM100617
[164]
GSM100618
[165]
GSM100619
[166]
GSM100620
[167]
GSM100621
[168]
GSM100622
[169]
GSM100623
[170]
GSM100624
[171]
GSM100625
[172]
GSM100626
[173]
GSM100627
[174]
GSM100628
[175]
GSM100629
[176]
GSM100630
[177]
GSM100631
[178]
GSM100632
[179]
GSM100633
[180]
GSM100634
[181]
GSM100635
[182]
GSM100636
[183]
GSM100637
[184]
GSM100638
[185]
GSM100639
[186]
GSM100640
[187]
GSM100641
[188]
GSM100642
[189]
GSM100643
[190]
GSM100644
[191]
GSM100645
[192]
GSM100646
[193]
GSM100647
[194]
GSM100648
[195]
GSM100649
[196]
GSM100650
[197]
GSM100651
[198]
GSM100652
[199]
GSM100653
[200]
GSM100654
[201]
GSM100655
[202]
GSM100656
[203]
GSM100657
[204]
GSM100658
[205]
GSM100659
[206]
GSM100660
[207]
GSM100661
[208]
GSM100662
[209]
GSM100663
[210]
GSM100664
[211]
GSM100665
[212]
GSM100666
[213]
GSM100667
[214]
GSM100668
[215]
GSM100669
[216]
GSM100670
[217]
GSM100671
[218]
GSM100672
[219]
GSM100673
[220]
GSM100674
sample_count
221
group_sizes
null
group_sizes_basis
null
platform
96
taxon
Homo sapiens
title
A Biologic Definition of Burkitt's Lymphoma from Transcriptional and Genomic Profiling
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:GSE98588
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=GSE98588
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE98588
version
null
note
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.
access_statement_kind
data_availability_statement
sample_accessions array · 137 items
[0]
GSM2601334
[1]
GSM2601335
[2]
GSM2601336
[3]
GSM2601337
[4]
GSM2601338
[5]
GSM2601339
[6]
GSM2601340
[7]
GSM2601341
[8]
GSM2601342
[9]
GSM2601343
[10]
GSM2601344
[11]
GSM2601345
[12]
GSM2601346
[13]
GSM2601347
[14]
GSM2601348
[15]
GSM2601349
[16]
GSM2601350
[17]
GSM2601351
[18]
GSM2601352
[19]
GSM2601353
[20]
GSM2601354
[21]
GSM2601355
[22]
GSM2601356
[23]
GSM2601357
[24]
GSM2601358
[25]
GSM2601359
[26]
GSM2601360
[27]
GSM2601361
[28]
GSM2601362
[29]
GSM2601363
[30]
GSM2601364
[31]
GSM2601365
[32]
GSM2601366
[33]
GSM2601367
[34]
GSM2601368
[35]
GSM2601369
[36]
GSM2601370
[37]
GSM2601371
[38]
GSM2601372
[39]
GSM2601373
[40]
GSM2601374
[41]
GSM2601375
[42]
GSM2601376
[43]
GSM2601377
[44]
GSM2601378
[45]
GSM2601379
[46]
GSM2601380
[47]
GSM2601381
[48]
GSM2601382
[49]
GSM2601383
[50]
GSM2601384
[51]
GSM2601385
[52]
GSM2601386
[53]
GSM2601387
[54]
GSM2601388
[55]
GSM2601389
[56]
GSM2601390
[57]
GSM2601391
[58]
GSM2601392
[59]
GSM2601393
[60]
GSM2601394
[61]
GSM2601395
[62]
GSM2601396
[63]
GSM2601397
[64]
GSM2601398
[65]
GSM2601399
[66]
GSM2601400
[67]
GSM2601401
[68]
GSM2601402
[69]
GSM2601403
[70]
GSM2601404
[71]
GSM2601405
[72]
GSM2601406
[73]
GSM2601407
[74]
GSM2601408
[75]
GSM2601409
[76]
GSM2601410
[77]
GSM2601411
[78]
GSM2601412
[79]
GSM2601413
[80]
GSM2601414
[81]
GSM2601415
[82]
GSM2601416
[83]
GSM2601417
[84]
GSM2601418
[85]
GSM2601419
[86]
GSM2601420
[87]
GSM2601421
[88]
GSM2601422
[89]
GSM2601423
[90]
GSM2601424
[91]
GSM2601425
[92]
GSM2601426
[93]
GSM2601427
[94]
GSM2601428
[95]
GSM2601429
[96]
GSM2601430
[97]
GSM2601431
[98]
GSM2601432
[99]
GSM2601433
[100]
GSM2601434
[101]
GSM2601435
[102]
GSM2601436
[103]
GSM2601437
[104]
GSM2601438
[105]
GSM2601439
[106]
GSM2601440
[107]
GSM2601441
[108]
GSM2601442
[109]
GSM2601443
[110]
GSM2601444
[111]
GSM2601445
[112]
GSM2601446
[113]
GSM2601447
[114]
GSM2601448
[115]
GSM2601449
[116]
GSM2601450
[117]
GSM2601451
[118]
GSM2601452
[119]
GSM2601453
[120]
GSM2601454
[121]
GSM2601455
[122]
GSM2601456
[123]
GSM2601457
[124]
GSM2601458
[125]
GSM2601459
[126]
GSM2601460
[127]
GSM2601461
[128]
GSM2601462
[129]
GSM2601463
[130]
GSM2601464
[131]
GSM2601465
[132]
GSM2601466
[133]
GSM2601467
[134]
GSM2601468
[135]
GSM2601469
[136]
GSM2601470
sample_count
137
group_sizes
null
group_sizes_basis
null
platform
23432
taxon
Homo sapiens
title
Genetically-defined Diffuse Large B-cell Lymphoma Subsets Arise by Distinct Pathogenetic Mechanisms and Predicts Outcome
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[4] object · 16 fields
id
asset:table:pmid:32974187:1
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:b5e309f083a846f9b1bb43392332abf2c436b7eeb16bbf35a90d92f3701c10b9
bytes
1622
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[11]/table-wrap[1]#T1
version
null
note
Most significantly correlated signaling pathways with matrix metallopeptidase 14 (MMP14) expression, based on their normalized enrichment score (NES) and P-value (top five modules).
structure object · 5 fields
pmcid
PMC7473157
section_index
11
section_title
Matrix Metallopeptidase 14 Expression Correlation With Clinical Characteristics and Predicted Biological Functions
row_count
24
column_count
5
table object · 8 fields
label
TABLE 1
caption
Most significantly correlated signaling pathways with matrix metallopeptidase 14 (MMP14) expression, based on their normalized enrichment score (NES) and P-value (top five modules).
rows array · 24 items
[0] array · 5 items
[0]
[1]
GO name
[2]
NES
[3]
NOM p-value
[4]
FDR q-value
[1] array · 5 items
[0]
Positive
[1]
Regulation of macrophage migration
[2]
2.248
[3]
0
[4]
9.46e-04
[2] array · 5 items
[0]
[1]
2.246
[2]
0
[3]
[4]
4.73e-04
[3] array · 5 items
[0]
[1]
2.246
[2]
0
[3]
[4]
3.15e-04
[4] array · 5 items
[0]
[1]
Iron ion homeostasis
[2]
2.202
[3]
0
[4]
4.78e-04
[5] array · 5 items
[0]
[1]
Collagen catabolic process
[2]
2.199
[3]
0
[4]
3.82e-04
[6] array · 5 items
[0]
Negative
[1]
Nuclear-transcribed mRNA catabolic process
[2]
−2.112
[3]
0
[4]
5.89e-023
[7] array · 5 items
[0]
[1]
Viral gene expression
[2]
-2.031
[3]
0
[4]
1.19e-02
[8] array · 5 items
[0]
[1]
Nuclear-transcribed mRNA catabolic process nonsense-mediated decay
[2]
−2.005
[3]
2.08e-03
[4]
1.39e-02
[9] array · 5 items
[0]
[1]
rRNA methylation
[2]
−1.993
[3]
2.07e-03
[4]
1.48e-02
[10] array · 5 items
[0]
[1]
Translational initiation
[2]
−1.993
[3]
4.23e-03
[4]
1.19e-02
[11] array · 1 item
[0]
[12] array · 5 items
[0]
[1]
KEGG name
[2]
NES
[3]
NOM p-value
[4]
FDR q-value
[13] array · 1 item
[0]
[14] array · 5 items
[0]
Positive
[1]
Lysosome
[2]
2.246
[3]
0
[4]
0
[15] array · 5 items
[0]
[1]
Glycosaminoglycan degradation
[2]
2.012
[3]
0
[4]
2.11e-02
[16] array · 5 items
[0]
[1]
Ecm receptor interaction
[2]
1.990
[3]
0
[4]
2.00e-02
[17] array · 5 items
[0]
[1]
Other glycan degradation
[2]
1.986
[3]
0
[4]
1.76e-02
[18] array · 5 items
[0]
[1]
Complement and coagulation cascades
[2]
1.917
[3]
0
[4]
3.47e-02
[19] array · 5 items
[0]
Negative
[1]
RNA polymerase
[2]
−1.729
[3]
2.35e-02
[4]
2.00e-01
[20] array · 5 items
[0]
[1]
Ribosome
[2]
−1.644
[3]
4.55e-02
[4]
2.27 e-01
[21] array · 5 items
[0]
[1]
Nucleotide excision repair
[2]
−1.636
[3]
4.58e-02
[4]
1.63 e-01
[22] array · 5 items
[0]
[1]
Spliceosome
[2]
−1.633
[3]
5.54e-02
[4]
1.24 e-01
[23] array · 5 items
[0]
[1]
Base excision repair
[2]
−1.584
[3]
6.11e-02
[4]
1.46 e-01
locator
section[11]/table-wrap[1]#T1
[5] object · 16 fields
id
asset:table:pmid:32974187:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:52bf77de626b784a7896676d691bf1356ff4d2baa42012965d0e5c764a1026f1
bytes
3304
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[12]/table-wrap[1]#T2
version
null
note
Correlation analysis between MMP14 and immune cell-related genes and markers, as assessed with Tumor Immune Estimation Resource (TIMER).
structure object · 5 fields
pmcid
PMC7473157
section_index
12
section_title
Matrix Metallopeptidase 14 Expression Is Correlated With Immune Cell Infiltration in Diffuse Large B-Cell Lymphoma
row_count
55
column_count
6
table object · 8 fields
label
TABLE 2
caption
Correlation analysis between MMP14 and immune cell-related genes and markers, as assessed with Tumor Immune Estimation Resource (TIMER).
rows array · 55 items
[0] array · 3 items
[0]
Description
[1]
Gene markers
[2]
DLBCL
[1] array · 4 items
[0]
[1]
[2]
No adjustment
[3]
Purity adjusted
[2] array · 6 items
[0]
[1]
[2]
Cor
[3]
P
[4]
Cor
[5]
P
[3] array · 6 items
[0]
B cell
[1]
CD19
[2]
-0.254
[3]
8.19e-02
[4]
−0.259
[5]
1.02e-01
[4] array · 6 items
[0]
[1]
CD79A
[2]
−0.147
[3]
3.18e-01
[4]
−0.161
[5]
3.15e-01
[5] array · 6 items
[0]
Monocyte
[1]
CD86
[2]
0.253
[3]
8.24e-02
[4]
0.319
[5]
4.20e-02
[6] array · 6 items
[0]
[1]
CD115 (CSF1R)
[2]
0.636
[3]
2.2e-06
[4]
0.589
[5]
5.07e-05
[7] array · 6 items
[0]
TAM
[1]
CCL2
[2]
0.281
[3]
5.32e-02
[4]
0.265
[5]
9.43e-02
[8] array · 6 items
[0]
[1]
CD68
[2]
0.782
[3]
0e-00
[4]
0.786
[5]
1.18e-09
[9] array · 6 items
[0]
[1]
IL10
[2]
0.359
[3]
1.26e-02
[4]
0.276
[5]
8.05e-02
[10] array · 6 items
[0]
Macrophage M0
[1]
MMP9
[2]
0.716
[3]
5.92e-08
[4]
0.66
[5]
2.73e-06
[11] array · 6 items
[0]
[1]
NCF2
[2]
0.601
[3]
9.70e-08
[4]
0.556
[5]
1.59e-04
[12] array · 6 items
[0]
[1]
ACP5
[2]
0.633
[3]
2.50e-06
[4]
0.558
[5]
1.49e-04
[13] array · 6 items
[0]
[1]
PLA2G7
[2]
0.687
[3]
2.27e-07
[4]
0.668
[5]
1.85e-06
[14] array · 6 items
[0]
Macrophage M1
[1]
INOS (NOS2)
[2]
0.292
[3]
4.44e-02
[4]
0.181
[5]
2.57e-01
[15] array · 6 items
[0]
[1]
IRF5
[2]
0.197
[3]
1.79e-01
[4]
0.037
[5]
8.16e-01
[16] array · 6 items
[0]
[1]
COX2(PTGS2)
[2]
0.246
[3]
9.2e-02
[4]
0.061
[5]
3.14e-01
[17] array · 6 items
[0]
Macrophage M2
[1]
CD163
[2]
0.465
[3]
9.84e-04
[4]
0.488
[5]
1.21e-03
[18] array · 6 items
[0]
[1]
VSIG4
[2]
0.502
[3]
8.36e-04
[4]
0.532
[5]
3.48e-04
[19] array · 6 items
[0]
[1]
MS4A4A
[2]
0.281
[3]
5.3e-02
[4]
0.253
[5]
1.10e-01
[20] array · 6 items
[0]
Neutrophils
[1]
CD66b (CEACAM8)
[2]
0.252
[3]
8.35e-02
[4]
0.223
[5]
1.61e-01
[21] array · 6 items
[0]
[1]
CD11b (ITGAM)
[2]
0.765
[3]
0e-00
[4]
0.765
[5]
5.55e-09
[22] array · 6 items
[0]
[1]
CCR7
[2]
0.018
[3]
9.05e-01
[4]
−0.141
[5]
3.79e-01
[23] array · 6 items
[0]
Dendritic cells
[1]
HLA-DPB1
[2]
0.047
[3]
7.48e-01
[4]
0.058
[5]
7.16e-01
[24] array · 6 items
[0]
[1]
HLA-DQB1
[2]
−0.038
[3]
7.95e-01
[4]
0.055
[5]
7.33e-01
[25] array · 6 items
[0]
[1]
HLA-DRA
[2]
0.117
[3]
4.25e-01
[4]
0.072
[5]
6.55e-01
[26] array · 6 items
[0]
[1]
HLA-DPA1
[2]
0.132
[3]
3.72e-01
[4]
0.101
[5]
5.30e-01
[27] array · 6 items
[0]
[1]
BDCA-1(CD1C)
[2]
−0.153
[3]
2.97e-01
[4]
−0.203
[5]
2.03e-01
[28] array · 6 items
[0]
[1]
BDCA-4(NRP1)
[2]
0.536
[3]
1.13e-04
[4]
0.421
[5]
6.15e-03
[29] array · 6 items
[0]
[1]
CD11c (ITGAX)
[2]
0.443
[3]
1.79e-03
[4]
0.345
[5]
2.72e-02
[30] array · 6 items
[0]
CD8 + T cell
[1]
CD8A
[2]
0.205
[3]
1.62e-01
[4]
0.061
[5]
7.05e-01
[31] array · 6 items
[0]
[1]
CD8B
[2]
0.125
[3]
3.95e-01
[4]
0.021
[5]
8.94e-01
[32] array · 6 items
[0]
T cell (general)
[1]
CD3D
[2]
−0.022
[3]
8.8e-01
[4]
0.282
[5]
7.37e-02
[33] array · 6 items
[0]
[1]
CD3E
[2]
0.115
[3]
4.36e-01
[4]
−0.065
[5]
6.85e-01
[34] array · 6 items
[0]
[1]
CD2
[2]
0.166
[3]
2.58e-01
[4]
0.031
[5]
8.48e-01
[35] array · 6 items
[0]
Natural killer cell
[1]
KIR2DL1
[2]
0.048
[3]
7.48e-01
[4]
−0.1
[5]
5.33e-01
[36] array · 6 items
[0]
[1]
KIR2DL3
[2]
0.15
[3]
3.08e-01
[4]
0.063
[5]
6.96e-01
[37] array · 6 items
[0]
[1]
KIR2DL4
[2]
0.324
[3]
2.48e-02
[4]
0.204
[5]
2.02e-01
[38] array · 6 items
[0]
[1]
KIR3DL1
[2]
0.087
[3]
5.58e-01
[4]
0.056
[5]
7028e-01
[39] array · 6 items
[0]
[1]
KIR3DL2
[2]
0.047
[3]
7.49e-01
[4]
−0.062
[5]
7.00e-01
[40] array · 6 items
[0]
[1]
KIR3DL3
[2]
-0.117
[3]
4.27e-01
[4]
−0.112
[5]
4.87e-01
[41] array · 6 items
[0]
[1]
KIR2DS4
[2]
0.09
[3]
5.44e-01
[4]
0.013
[5]
9.37e-01
[42] array · 6 items
[0]
Th1
[1]
T-bet (TBX21)
[2]
0.233
[3]
1.11e-01
[4]
0.14
[5]
3.81e-01
[43] array · 6 items
[0]
[1]
STAT4
[2]
0.16
[3]
2.76e-01
[4]
-0.052
[5]
7.45e-01
[44] array · 6 items
[0]
[1]
STAT1
[2]
0.472
[3]
8.19e-04
[4]
0.442
[5]
3.85e-03
[45] array · 6 items
[0]
[1]
IFN-γ (IFNG)
[2]
0.532
[3]
2.15e-02
[4]
0.291
[5]
6.52e-02
[46] array · 6 items
[0]
[1]
TNF-α (TNF)
[2]
0.338
[3]
1.92e-02
[4]
0.265
[5]
9.38e-02
[47] array · 6 items
[0]
[1]
GATA3
[2]
0.183
[3]
2.13e-01
[4]
0.035
[5]
8.27e-01
[48] array · 6 items
[0]
[1]
STAT6
[2]
0.146
[3]
3.2e-01
[4]
0.076
[5]
6.39e-01
[49] array · 6 items
[0]
[1]
STAT5A
[2]
0.224
[3]
1.26e-01
[4]
0.225
[5]
1.58e-01
[50] array · 6 items
[0]
[1]
IL13
[2]
0.067
[3]
9.63e-01
[4]
−0.026
[5]
8.58e-01
[51] array · 6 items
[0]
Tfh
[1]
BCL6
[2]
-0.134
[3]
3.61e-01
[4]
-0.033
[5]
8.38e-01
[52] array · 6 items
[0]
[1]
IL21
[2]
0.167
[3]
2.58e-01
[4]
0.072
[5]
6.57e-01
[53] array · 6 items
[0]
Th17
[1]
STAT3
[2]
0.402
[3]
4.89e-03
[4]
0.315
[5]
4.48e-02
[54] array · 6 items
[0]
[1]
IL17A
[2]
0.081
[3]
5.83e-01
[4]
0.024
[5]
8.82e-01
locator
section[12]/table-wrap[1]#T2
gaps array · 6 items
[0]
asset:data:geo:GSE10846 not downloaded
[1]
asset:data:geo:GSE10846 licence not read
[2]
asset:data:geo:GSE4475 not downloaded
[3]
asset:data:geo:GSE4475 licence not read
[4]
asset:data:geo:GSE98588 not downloaded
[5]
asset:data:geo:GSE98588 licence not read
analysis object · 4 fields
state
partial
methods array · 1 item
[0] object · 10 fields
id
method-1
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
We performed Kaplan–Meier analysis to measure the OS of the 48 patients obtained from TCGA based on the abundance ratio of the 11 identified immune cell types, for which the cut-off level was set at the median value.
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
blocked
tier
R4
blocking_axis
method
blocked_on
method:not_determinable
axes object · 3 fields
method object · 5 fields
tier
R4
expressible
false
required_operations array · 0 items
missing_operations array · 0 items
basis
The reader quoted the method the paper names (Kaplan–Meier survival analysis), but the corpus's method extractor could not map it onto a DSL operation, so the method is published but not expressible.
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]
GSE98588
[1]
GSE10846
[2]
GSE4475
resolved_accessions array · 3 items
[0]
GSE98588
[1]
GSE10846
[2]
GSE4475
statements array · 1 item
[0]
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.
basis
The paper names GSE98588, GSE10846, GSE4475 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 · 0 items
assets array · 4 items
[0]
source:pmid:32974187
[1]
data:geo:GSE10846
[2]
asset:table:pmid:32974187:1
[3]
asset:table:pmid:32974187:2
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:GSE10846
gaps array · 1 item
[0]
method:not_determinable
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-10-31T18:22:45Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
20354
completion_tokens
2049
cached_tokens
792
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:32974187
type
paper
label
pmid:32974187
[1] object · 3 fields
id
source:pmid:32974187
type
manuscript
label
PMID 32974187 full text
[2] object · 3 fields
id
data:geo:GSE10846
type
dataset
label
GEO GSE10846
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:32974187
type
paper
label
pmid:32974187
[1] object · 3 fields
id
source:pmid:32974187
type
manuscript
label
PMID 32974187 full text
[2] object · 3 fields
id
data:geo:GSE10846
type
dataset
label
GEO GSE10846
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-32974187
type
extraction
used array · 1 item
[0]
source:pmid:32974187
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE10846
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE10846
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:32974187
parent_hash
sha256:9f570cdbb526c4e8bd08f52b1dd09d8356952ae1ead5c5cf76afb1881ab58319
fork_of
null
gaps array · 11 items
[0]
asset:data:geo:GSE10846 licence not read
[1]
asset:data:geo:GSE10846 not downloaded
[2]
asset:data:geo:GSE4475 licence not read
[3]
asset:data:geo:GSE4475 not downloaded
[4]
asset:data:geo:GSE98588 licence not read
[5]
asset:data:geo:GSE98588 not downloaded
[6]
execution.not_run
[7]
method.reader_named_unmapped
[8]
review.human_critique
[9]
review.independent_reader
[10]
review.machine_critique
Complete file
{"sci_version": "1.0", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32974187", "kind": "science-record", "revision": 4, "content_hash": "sha256:69e1c0ee4099f73c212838b6948d9825a3d3f3c841ea2c2cbb9679f1fde07cd2", "created_at": "2026-11-01T15:41:11Z", "updated_at": "2026-11-01T21:23:50Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Matrix Metallopeptidase 14: A Candidate Prognostic Biomarker for Diffuse Large B-Cell Lymphoma.", "doi": "10.3389/fonc.2020.01520", "pmid": "32974187", "authors": ["Chengliang Yin", "Junyan Zhang", "Ming Shen", "Zhenyang Gu", "Yan Li", "Wanguo Xue", "Jinlong Shi", "Wenrong Huang"], "journal": "Frontiers in oncology", "year": 2020, "abstract": "BACKGROUND: Matrix metallopeptidase 14 (MMP14) is an important gene in the regulation of T-cell function. However, the correlation between MMP14 expression, prognosis, and immune cell infiltration in diffuse large B-cell lymphoma (DLBCL) remains unclear.\nMETHODS: We investigated the influence of MMP14 on clinical prognosis using data obtained from three Gene Expression Omnibus (GEO) database sets (GSE98588, GSE10846, and GSE4475). The expression of MMP14 was analyzed using the Gene Expression Profiling Interactive Analysis (GEPIA). The correlation between MMP14 and immune cell infiltration was investigated using the Cell-type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT) and Tumor Immune Estimation Resource (TIMER) tools. In addition, the correlation between MMP14 expression and immune gene markers was analyzed by TIMER and GEPIA.\nRESULTS: MMP14 expression positively correlated with favorable progression-free survival (PFS; GSE98588, P = 0.02) and overall survival (OS; GSE98588, P = 0.003; GSE10846, P = 5.517e-05; and GSE4475, P = 9.85e-04). Moreover, MMP14 expression was higher in DLBCL tumors than in normal tissues. Regarding clinical characteristics, high MMP14 expression was found to be correlated with race. MMP14 expression was also correlated with immune cell infiltration and had a remarkable correlation with various immune marker sets. It was found that M0 macrophages were the immune cells most related to survival, decreasing with the increase in Ann Arbor clinical stage. The results especially showed that MMP14 was a prognostic biomarker and related to the macrophages M0.\nCONCLUSION: The results suggest that MMP14 is a novel prognostic molecular marker for DLBCL and is related to the immune cell infiltration, especially related to the macrophages M0. Our study provides insights for understanding the potential roles of MMP14 in tumor immunology and its suitability as a prognosis biomarker in DLBCL.", "claims": [{"id": "claim-method", "statement": "We performed Kaplan–Meier analysis to measure the OS of the 48 patients obtained from TCGA based on the abundance ratio of the 11 identified immune cell types, for which the cut-off level was set at the median value.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32974187", "locator": "sections[7] \"Clinical Relationship With the Immune Cell Most Related to Survival\" paragraph 2", "quote": "We performed Kaplan–Meier analysis to measure the OS of the 48 patients obtained from TCGA based on the abundance ratio of the 11 identified immune cell types, for which the cut-off level was set at the median value."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32974187", "locator": "sections[16] \"Data Availability Statement\" paragraph 2", "quote": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:32974187"], "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:GSE10846"], "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:GSE10846"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:32974187", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fonc.2020.01520", "sha256": "sha256:f7d6fb41a6cb02b37947deb2eb9f3fab61149795970a7aecb55b9a08fb7cbef7", "bytes": 28620, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fonc.2020.01520", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7473157", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE10846", "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=GSE10846", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE10846", "version": null, "note": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM274895", "GSM274896", "GSM274897", "GSM274898", "GSM274899", "GSM274900", "GSM274901", "GSM274902", "GSM274903", "GSM274904", "GSM274905", "GSM274906", "GSM274907", "GSM274908", "GSM274909", "GSM274910", "GSM274911", "GSM274912", "GSM274913", "GSM274914", "GSM274915", "GSM274916", "GSM274917", "GSM274918", "GSM274919", "GSM274920", "GSM274921", "GSM274922", "GSM274923", "GSM274924", "GSM274925", "GSM274926", "GSM274927", "GSM274928", "GSM274929", "GSM274930", "GSM274931", "GSM274932", "GSM274933", "GSM274934", "GSM274935", "GSM274936", "GSM274937", "GSM274938", "GSM274939", "GSM274940", "GSM274941", "GSM274942", "GSM274943", "GSM274944", "GSM274945", "GSM274946", "GSM274947", "GSM274948", "GSM274949", "GSM274950", "GSM274951", "GSM274952", "GSM274953", "GSM274954", "GSM274955", "GSM274956", "GSM274957", "GSM274958", "GSM274959", "GSM274960", "GSM274961", "GSM274962", "GSM274963", "GSM274964", "GSM274965", "GSM274966", "GSM274967", "GSM274968", "GSM274969", "GSM274970", "GSM274971", "GSM274972", "GSM274973", "GSM274974", "GSM274975", "GSM274976", "GSM274977", "GSM274978", "GSM274979", "GSM274980", "GSM274981", "GSM274982", "GSM274983", "GSM274984", "GSM274985", "GSM274986", "GSM274987", "GSM274988", "GSM274989", "GSM274990", "GSM274991", "GSM274992", "GSM274993", "GSM274994", "GSM274995", "GSM274996", "GSM274997", "GSM274998", "GSM274999", "GSM275000", "GSM275001", "GSM275002", "GSM275003", "GSM275004", "GSM275005", "GSM275006", "GSM275007", "GSM275008", "GSM275009", "GSM275010", "GSM275011", "GSM275012", "GSM275013", "GSM275014", "GSM275015", "GSM275016", "GSM275017", "GSM275018", "GSM275019", "GSM275020", "GSM275021", "GSM275022", "GSM275023", "GSM275024", "GSM275025", "GSM275026", "GSM275027", "GSM275028", "GSM275029", "GSM275030", "GSM275031", "GSM275032", 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"row_count": 24, "column_count": 5, "numeric_cells": 60, "header_rows": 1, "locator": "section[11]/table-wrap[1]#T1"}}, {"id": "asset:table:pmid:32974187:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:52bf77de626b784a7896676d691bf1356ff4d2baa42012965d0e5c764a1026f1", "bytes": 3304, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[12]/table-wrap[1]#T2", "version": null, "note": "Correlation analysis between MMP14 and immune cell-related genes and markers, as assessed with Tumor Immune Estimation Resource (TIMER).", "structure": {"pmcid": "PMC7473157", "section_index": 12, "section_title": "Matrix Metallopeptidase 14 Expression Is Correlated With Immune Cell Infiltration in Diffuse Large B-Cell Lymphoma", "row_count": 55, "column_count": 6}, "table": {"label": "TABLE 2", "caption": "Correlation analysis between MMP14 and immune cell-related 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["", "COX2(PTGS2)", "0.246", "9.2e-02", "0.061", "3.14e-01"], ["Macrophage M2", "CD163", "0.465", "9.84e-04", "0.488", "1.21e-03"], ["", "VSIG4", "0.502", "8.36e-04", "0.532", "3.48e-04"], ["", "MS4A4A", "0.281", "5.3e-02", "0.253", "1.10e-01"], ["Neutrophils", "CD66b (CEACAM8)", "0.252", "8.35e-02", "0.223", "1.61e-01"], ["", "CD11b (ITGAM)", "0.765", "0e-00", "0.765", "5.55e-09"], ["", "CCR7", "0.018", "9.05e-01", "−0.141", "3.79e-01"], ["Dendritic cells", "HLA-DPB1", "0.047", "7.48e-01", "0.058", "7.16e-01"], ["", "HLA-DQB1", "−0.038", "7.95e-01", "0.055", "7.33e-01"], ["", "HLA-DRA", "0.117", "4.25e-01", "0.072", "6.55e-01"], ["", "HLA-DPA1", "0.132", "3.72e-01", "0.101", "5.30e-01"], ["", "BDCA-1(CD1C)", "−0.153", "2.97e-01", "−0.203", "2.03e-01"], ["", "BDCA-4(NRP1)", "0.536", "1.13e-04", "0.421", "6.15e-03"], ["", "CD11c (ITGAX)", "0.443", "1.79e-03", "0.345", "2.72e-02"], ["CD8 + T cell", "CD8A", "0.205", "1.62e-01", "0.061", "7.05e-01"], ["", "CD8B", "0.125", "3.95e-01", 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"8.27e-01"], ["", "STAT6", "0.146", "3.2e-01", "0.076", "6.39e-01"], ["", "STAT5A", "0.224", "1.26e-01", "0.225", "1.58e-01"], ["", "IL13", "0.067", "9.63e-01", "−0.026", "8.58e-01"], ["Tfh", "BCL6", "-0.134", "3.61e-01", "-0.033", "8.38e-01"], ["", "IL21", "0.167", "2.58e-01", "0.072", "6.57e-01"], ["Th17", "STAT3", "0.402", "4.89e-03", "0.315", "4.48e-02"], ["", "IL17A", "0.081", "5.83e-01", "0.024", "8.82e-01"]], "row_count": 55, "column_count": 6, "numeric_cells": 225, "header_rows": 3, "locator": "section[12]/table-wrap[1]#T2"}}], "gaps": ["asset:data:geo:GSE10846 not downloaded", "asset:data:geo:GSE10846 licence not read", "asset:data:geo:GSE4475 not downloaded", "asset:data:geo:GSE4475 licence not read", "asset:data:geo:GSE98588 not downloaded", "asset:data:geo:GSE98588 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": null, "specific": null, "label": "Kaplan–Meier survival analysis", "dsl_operations": [], "missing_operations": [], "expressible": null, "parameters": {}, "data_shapes": [], "evidence": {"score": 1.0, "band": "verbatim", "quote": "We performed Kaplan–Meier analysis to measure the OS of the 48 patients obtained from TCGA based on the abundance ratio of the 11 identified immune cell types, for which the cut-off level was set at the median value."}}], "targets": [], "gaps": ["method.reader_named_unmapped"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "blocked", "tier": "R4", "blocking_axis": "method", "blocked_on": "method:not_determinable", "axes": {"method": {"tier": "R4", "expressible": false, "required_operations": [], "missing_operations": [], "basis": "The reader quoted the method the paper names (Kaplan–Meier survival analysis), but the corpus's method extractor could not map it onto a DSL operation, so the method is published but not expressible."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE98588", "GSE10846", "GSE4475"], "resolved_accessions": ["GSE98588", "GSE10846", "GSE4475"], "statements": ["The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material."], "basis": "The paper names GSE98588, GSE10846, GSE4475 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": [], "assets": ["source:pmid:32974187", "data:geo:GSE10846", "asset:table:pmid:32974187:1", "asset:table:pmid:32974187:2"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE10846"]}, "gaps": ["method:not_determinable"]}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:22:45Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 3, "usage": {"prompt_tokens": 20354, "completion_tokens": 2049, "cached_tokens": 792}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:32974187", "type": "paper", "label": "pmid:32974187"}, {"id": "source:pmid:32974187", "type": "manuscript", "label": "PMID 32974187 full text"}, {"id": "data:geo:GSE10846", "type": "dataset", "label": "GEO GSE10846"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:32974187", "type": "paper", "label": "pmid:32974187"}, {"id": "source:pmid:32974187", "type": "manuscript", "label": "PMID 32974187 full text"}, {"id": "data:geo:GSE10846", "type": "dataset", "label": "GEO GSE10846"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-32974187", "type": "extraction", "used": ["source:pmid:32974187"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE10846", "type": "accession_resolution", "used": ["data:geo:GSE10846"], "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:32974187", "parent_hash": "sha256:9f570cdbb526c4e8bd08f52b1dd09d8356952ae1ead5c5cf76afb1881ab58319", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE10846 licence not read", "asset:data:geo:GSE10846 not downloaded", "asset:data:geo:GSE4475 licence not read", "asset:data:geo:GSE4475 not downloaded", "asset:data:geo:GSE98588 licence not read", "asset:data:geo:GSE98588 not downloaded", "execution.not_run", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique"]}