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pmid:34059095

MAPK14 over-expression is a transcriptomic feature of polycythemia vera and correlates with adverse clinical outcomes.

Chao Guo · Ya-Yue Gao · Qian-Qian Ju · Min Wang · Chun-Xia Zhang · Ming Gong · Zhen-Ling Li

Journal of translational medicine · 2021 doi:10.1186/s12967-021-02913-3

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Experiment

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Data

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Analysis

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pmid:34059095
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title
MAPK14 over-expression is a transcriptomic feature of polycythemia vera and correlates with adverse clinical outcomes.
doi
10.1186/s12967-021-02913-3
pmid
34059095
authors array · 7 items
[0]
Chao Guo
[1]
Ya-Yue Gao
[2]
Qian-Qian Ju
[3]
Min Wang
[4]
Chun-Xia Zhang
[5]
Ming Gong
[6]
Zhen-Ling Li
journal
Journal of translational medicine
year
2021
abstract
BACKGROUND: The transcriptomic signature has not been fully elucidated in PV, as well as mRNA markers for clinical variables (thrombosis, leukemic transformation, survival, etc.). We attempted to reveal and validate crucial co-expression modules and marker mRNAs correlating with polycythemia vera (PV) by weighted gene co-expression network analysis (WGCNA). MATERIAL AND METHODS: The GSE57793/26014/61629 datasets were downloaded from Gene Expression Omnibus (GEO) database and integrated into one fused dataset. By R software and 'WGCNA' package, the PV-specific co-expression module was identified, the pathway enrichment profile of which was obtained by over-representation analysis (ORA). Protein-protein interaction (PPI) network and hub gene analysis identified MAPK14 as our target gene. Then the distribution of MAPK14 expression in different disease/mutation types, were depicted based on external independent datasets. Genome-scale correlation analysis revealed the association of MAPK14 and JAK/STAT family genes. Then gene set enrichment analysis (GSEA) was performed to detect the activated and suppressed pathways associating with MAPK14 expression. Moreover, GSE47018 dataset was utilized to compare clinical variables (thrombosis, leukemic transformation, survival, etc.) between MAPK14-high and MAPK14-low groups. RESULTS: An integrated dataset including 177 samples (83 PV, 35 ET, 17 PMF and 42 normal donors) were inputted into WGCNA. The 'tan' module was identified as the PV-specific module (R2 = 0.56, p = 8e-16), the genes of which were dominantly enriched in pro-inflammatory pathways (Toll-like receptor (TLR)/TNF signaling, etc.). MAPK14 is identified as the top hub gene in PV-related PPI network with the highest betweenness. External datasets validated that the MAPK14 expression was significantly higher in PV than that of essential thrombocytosis (ET)/primary myelofibrosis (PMF) patients and normal donors. JAK2 homozygous mutation carriers have higher level of MAPK14 than that of other mutation types. The expression of JAK/STAT family genes significantly correlated with MAPK14, which also contributed to the activation of oxidated phosphorylation, interferon-alpha (IFNα) response and PI3K-Akt-mTOR signaling, etc. Moreover, MAPK14-high group have more adverse clinical outcomes (splenectomy, thrombosis, disease aggressiveness) and inferior survival than MAPK14-low group. CONCLUSION: MAPK14 over-expression was identified as a transcriptomic feature of PV, which was also related to inferior clinical outcomes. The results provided novel insights for biomarkers and therapeutic targets for PV.
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By R software and ‘WGCNA’ package, the PV-specific co-expression module was identified, the pathway enrichment profile of which was obtained by over-representation analysis (ORA).
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By R software and ‘WGCNA’ package, the PV-specific co-expression module was identified, the pathway enrichment profile of which was obtained by over-representation analysis (ORA).
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The data that support the findings of this study are available from GEO database (https://www.ncbi.nlm.nih.gov/gds/), which are all publicly available.
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Gene and miRNA expression profiles in Polycythemia Vera and Essential Thrombocythemia according to CALR and JAK2 mutations [GEP]
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GSM1320618
[95]
GSM1320619
[96]
GSM1320620
[97]
GSM1320621
[98]
GSM1320622
[99]
GSM1320623
[100]
GSM1320624
[101]
GSM1320625
[102]
GSM1320626
[103]
GSM1320627
sample_count
104
group_sizes
null
group_sizes_basis
null
platform
4685
taxon
Homo sapiens
title
Integrated genomic analysis illustrates the central role of JAK-STAT pathway activation in myeloproliferative neoplasm pathogenesis [MPN patients]
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[5] object · 15 fields
id
data:geo:GSE57793
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=GSE57793
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE57793
version
null
note
The data that support the findings of this study are available from GEO database (https://www.ncbi.nlm.nih.gov/gds/), which are all publicly available.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The data that support the findings of this study are available from GEO database (https://www.ncbi.nlm.nih.gov/gds/), which are all publicly available.
access_statement_kind
data_availability_statement
sample_accessions array · 66 items
[0]
GSM1388566
[1]
GSM1388567
[2]
GSM1388568
[3]
GSM1388569
[4]
GSM1388570
[5]
GSM1388571
[6]
GSM1388572
[7]
GSM1388573
[8]
GSM1388574
[9]
GSM1388575
[10]
GSM1388576
[11]
GSM1388577
[12]
GSM1388578
[13]
GSM1388579
[14]
GSM1388580
[15]
GSM1388581
[16]
GSM1388582
[17]
GSM1388583
[18]
GSM1388584
[19]
GSM1388585
[20]
GSM1388586
[21]
GSM1388587
[22]
GSM1388588
[23]
GSM1388589
[24]
GSM1388590
[25]
GSM1388591
[26]
GSM1388592
[27]
GSM1388593
[28]
GSM1388594
[29]
GSM1388595
[30]
GSM1388596
[31]
GSM1388597
[32]
GSM1388598
[33]
GSM1388599
[34]
GSM1388600
[35]
GSM1388601
[36]
GSM1388602
[37]
GSM1388603
[38]
GSM1388604
[39]
GSM1388605
[40]
GSM1388606
[41]
GSM1388607
[42]
GSM1388608
[43]
GSM1388609
[44]
GSM1388610
[45]
GSM1388611
[46]
GSM1388612
[47]
GSM1388613
[48]
GSM1388614
[49]
GSM1388615
[50]
GSM1388616
[51]
GSM1388617
[52]
GSM1388618
[53]
GSM1388619
[54]
GSM1388620
[55]
GSM1388621
[56]
GSM1388622
[57]
GSM1388623
[58]
GSM1388624
[59]
GSM1388625
[60]
GSM1388626
[61]
GSM1388627
[62]
GSM1388628
[63]
GSM1388629
[64]
GSM1388630
[65]
GSM1388631
sample_count
66
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Expression data from patients with Essential Thrombocythemia (ET), Polycythemia Vera (PV), Primary Myelofibrosis (PMF)
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[6] object · 15 fields
id
data:geo:GSE61629
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=GSE61629
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE61629
version
null
note
The data that support the findings of this study are available from GEO database (https://www.ncbi.nlm.nih.gov/gds/), which are all publicly available.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The data that support the findings of this study are available from GEO database (https://www.ncbi.nlm.nih.gov/gds/), which are all publicly available.
access_statement_kind
data_availability_statement
sample_accessions array · 54 items
[0]
GSM1388566
[1]
GSM1388567
[2]
GSM1388568
[3]
GSM1388569
[4]
GSM1388570
[5]
GSM1388571
[6]
GSM1388577
[7]
GSM1388579
[8]
GSM1388582
[9]
GSM1388584
[10]
GSM1388585
[11]
GSM1388587
[12]
GSM1388590
[13]
GSM1388591
[14]
GSM1388592
[15]
GSM1388593
[16]
GSM1388594
[17]
GSM1388595
[18]
GSM1388596
[19]
GSM1388598
[20]
GSM1388599
[21]
GSM1388600
[22]
GSM1388601
[23]
GSM1388603
[24]
GSM1388604
[25]
GSM1388605
[26]
GSM1388606
[27]
GSM1388607
[28]
GSM1388608
[29]
GSM1388614
[30]
GSM1388616
[31]
GSM1388623
[32]
GSM1388624
[33]
GSM1509517
[34]
GSM1509518
[35]
GSM1509519
[36]
GSM1509520
[37]
GSM1509521
[38]
GSM1509522
[39]
GSM1509523
[40]
GSM1509524
[41]
GSM1509525
[42]
GSM1509526
[43]
GSM1509527
[44]
GSM1509528
[45]
GSM1509529
[46]
GSM1509530
[47]
GSM1509531
[48]
GSM1509532
[49]
GSM1509533
[50]
GSM1509534
[51]
GSM1509535
[52]
GSM1509536
[53]
GSM1509537
sample_count
54
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Expression data from patients with Essential Thrombocythemia (ET), Polycythemia Vera (PV), Primary Myelofibrosis (PMF) (untreated)
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[7] object · 16 fields
id
asset:table:pmid:34059095:1
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:3ab62b8fb6c0037a024ecc4de167e98e5d086572b378097332b477804e216a22
bytes
961
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[3]/table-wrap[1]#Tab1
version
null
note
The summary of GEO datasets used in the present study
structure object · 5 fields
pmcid
PMC8166116
section_index
3
section_title
Data source
row_count
7
column_count
7
table object · 8 fields
label
Table 1
caption
The summary of GEO datasets used in the present study
rows array · 7 items
[0] array · 7 items
[0]
GEO accession
[1]
Number of samples
[2]
ET
[3]
PV
[4]
PMF
[5]
Normal donors
[6]
Application in this study
[1] array · 7 items
[0]
GSE61629 [10]
[1]
21
[2]
0
[3]
0
[4]
0
[5]
21
[6]
WGCNA to reveal hub genes correlating with PV
[2] array · 7 items
[0]
GSE26049 [7]
[1]
90
[2]
19
[3]
41
[4]
9
[5]
21
[6]
WGCNA to reveal hub genes correlating with PV
[3] array · 7 items
[0]
GSE57793 [8]
[1]
66
[2]
16
[3]
42
[4]
8
[5]
0
[6]
WGCNA to reveal hub genes correlating with PV
[4] array · 7 items
[0]
GSE103237 [5]
[1]
65
[2]
24
[3]
26
[4]
0
[5]
15
[6]
Validation for the correlation of hub gene expression with MPN subtypes and mutation types
[5] array · 7 items
[0]
GSE54644 [6]
[1]
104
[2]
47
[3]
28
[4]
18
[5]
11
[6]
Validation for the correlation of hub gene expression with MPN subtypes and mutation types
[6] array · 7 items
[0]
GSE47018 [9]
[1]
27
[2]
0
[3]
20
[4]
0
[5]
7
[6]
Validation for the correlation of hub gene expression with clinical variables in PV
locator
section[3]/table-wrap[1]#Tab1
[8] object · 16 fields
id
asset:table:pmid:34059095:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:3a73aaa8500156b6b6ce01c8e9cef58cf8a832f01880813ad957162fbd9a5819
bytes
1358
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[16]/table-wrap[1]#Tab2
version
null
note
The comparison of clinical variables between MAPK14-high and MAPK14-low groups, which were also performed for over-expression/under-expression subgroups of JAK2, EPOR, STAT5A and STAT5B. The p value ≤ 0.05 was in boldface
structure object · 5 fields
pmcid
PMC8166116
section_index
16
section_title
Comparison of clinical variables between MAPK14-high and MAPK14-low groups
row_count
12
column_count
8
table object · 8 fields
label
Table 2
caption
The comparison of clinical variables between MAPK14-high and MAPK14-low groups, which were also performed for over-expression/under-expression subgroups of JAK2, EPOR, STAT5A and STAT5B. The p value ≤ 0.05 was in boldface
rows array · 12 items
[0] array · 8 items
[0]
[1]
MAPK14 low (n = 10)
[2]
MAPK14 high (n = 10)
[3]
p value (MAPK14-high vs low subgroups)
[4]
p value (JAK2-high vs low subgroups)
[5]
p value (EPOR-high vs low subgroups)
[6]
p value (STAT5A-high vs low subgroups)
[7]
p value (STAT5B-high vs low subgroups)
[1] array · 8 items
[0]
Age (year)
[1]
65.5
[2]
63.1
[3]
0.579
[4]
0.481
[5]
0.281
[6]
0.393
[7]
0.796
[2] array · 8 items
[0]
JAK2 mutation burden (%)
[1]
78.9
[2]
90.5
[3]
0.19
[4]
0.739
[5]
0.393
[6]
0.52
[7]
0.739
[3] array · 8 items
[0]
Initiation of drug therapy (%)
[1]
10
[2]
80
[3]
0.005
[4]
0.37
[5]
0.37
[6]
1
[7]
1
[4] array · 8 items
[0]
Hemoglobulin (g/dL)
[1]
13.1
[2]
11.62
[3]
0.063
[4]
0.684
[5]
0.796
[6]
0.853
[7]
0.631
[5] array · 8 items
[0]
Leukocyte count
[1]
16706
[2]
35999
[3]
0.529
[4]
0.631
[5]
0.684
[6]
0.19
[7]
1
[6] array · 8 items
[0]
Platelet count
[1]
741.3
[2]
648.5
[3]
0.684
[4]
0.971
[5]
0.19
[6]
0.853
[7]
0.971
[7] array · 8 items
[0]
Splenectormy (%)
[1]
0
[2]
50
[3]
0.033
[4]
1
[5]
1
[6]
1
[7]
1
[8] array · 8 items
[0]
Thrombosis (%)
[1]
0
[2]
50
[3]
0.033
[4]
1
[5]
1
[6]
1
[7]
1
[9] array · 8 items
[0]
AML transformation (%)
[1]
10
[2]
40
[3]
0.303
[4]
1
[5]
1
[6]
1
[7]
1
[10] array · 8 items
[0]
Disease aggressiveness (%)
[1]
0
[2]
70
[3]
0.003
[4]
1
[5]
1
[6]
1
[7]
1
[11] array · 8 items
[0]
Survival (%)
[1]
90
[2]
40
[3]
0.05
[4]
1
[5]
0.35
[6]
1
[7]
1
locator
section[16]/table-wrap[1]#Tab2
gaps array · 12 items
[0]
asset:data:geo:GSE103237 not downloaded
[1]
asset:data:geo:GSE103237 licence not read
[2]
asset:data:geo:GSE26049 not downloaded
[3]
asset:data:geo:GSE26049 licence not read
[4]
asset:data:geo:GSE47018 not downloaded
[5]
asset:data:geo:GSE47018 licence not read
[6]
asset:data:geo:GSE54644 not downloaded
[7]
asset:data:geo:GSE54644 licence not read
[8]
asset:data:geo:GSE57793 not downloaded
[9]
asset:data:geo:GSE57793 licence not read
[10]
asset:data:geo:GSE61629 not downloaded
[11]
asset:data:geo:GSE61629 licence not read
analysis object · 4 fields
state
partial
methods array · 4 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
network_analysis
specific
ppi_network
label
Network / pathway analysis
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
Protein-protein interaction
[2] object · 10 fields
id
method-3
family
network_analysis
specific
pathway_enrichment
label
Network / pathway analysis
dsl_operations array · 1 item
[0]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
pathway enrichment
[3] object · 10 fields
id
method-4
family
null
specific
null
label
Weighted gene co-expression network analysis (WGCNA)
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
By R software and ‘WGCNA’ package, the PV-specific co-expression module was identified, the pathway enrichment profile of which was obtained by over-representation analysis (ORA).
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 · 6 items
[0]
GSE61629
[1]
GSE26049
[2]
GSE57793
[3]
GSE103237
[4]
GSE54644
[5]
GSE47018
resolved_accessions array · 6 items
[0]
GSE61629
[1]
GSE26049
[2]
GSE57793
[3]
GSE103237
[4]
GSE54644
[5]
GSE47018
statements array · 1 item
[0]
The data that support the findings of this study are available from GEO database (https://www.ncbi.nlm.nih.gov/gds/), which are all publicly available.
basis
The paper names GSE61629, GSE26049, GSE57793, GSE103237, GSE54644, GSE47018 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 · 4 items
[0]
source:pmid:34059095
[1]
data:geo:GSE103237
[2]
asset:table:pmid:34059095:1
[3]
asset:table:pmid:34059095:2
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:GSE103237
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
2026-10-31T18:30:34Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
25002
completion_tokens
2599
cached_tokens
776
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:34059095
type
paper
label
pmid:34059095
[1] object · 3 fields
id
source:pmid:34059095
type
manuscript
label
PMID 34059095 full text
[2] object · 3 fields
id
data:geo:GSE103237
type
dataset
label
GEO GSE103237
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:34059095
type
paper
label
pmid:34059095
[1] object · 3 fields
id
source:pmid:34059095
type
manuscript
label
PMID 34059095 full text
[2] object · 3 fields
id
data:geo:GSE103237
type
dataset
label
GEO GSE103237
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-34059095
type
extraction
used array · 1 item
[0]
source:pmid:34059095
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE103237
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE103237
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:34059095
parent_hash
sha256:19a730c890f5a38c95508819b0f2c02119bfefe08ff19a20b0e1f755145e76db
fork_of
null
gaps array · 17 items
[0]
asset:data:geo:GSE103237 licence not read
[1]
asset:data:geo:GSE103237 not downloaded
[2]
asset:data:geo:GSE26049 licence not read
[3]
asset:data:geo:GSE26049 not downloaded
[4]
asset:data:geo:GSE47018 licence not read
[5]
asset:data:geo:GSE47018 not downloaded
[6]
asset:data:geo:GSE54644 licence not read
[7]
asset:data:geo:GSE54644 not downloaded
[8]
asset:data:geo:GSE57793 licence not read
[9]
asset:data:geo:GSE57793 not downloaded
[10]
asset:data:geo:GSE61629 licence not read
[11]
asset:data:geo:GSE61629 not downloaded
[12]
execution.not_run
[13]
method.reader_named_unmapped
[14]
review.human_critique
[15]
review.independent_reader
[16]
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
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34059095", "kind": "science-record", "revision": 7, "content_hash": "sha256:98252505a207f654a8255713c532a87eef8192ee0a9b07e5dc7b2c20d31ea806", "created_at": "2026-11-01T15:41:37Z", "updated_at": "2026-11-01T22:03:53Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "MAPK14 over-expression is a transcriptomic feature of polycythemia vera and correlates with adverse clinical outcomes.", "doi": "10.1186/s12967-021-02913-3", "pmid": "34059095", "authors": ["Chao Guo", "Ya-Yue Gao", "Qian-Qian Ju", "Min Wang", "Chun-Xia Zhang", "Ming Gong", "Zhen-Ling Li"], "journal": "Journal of translational medicine", "year": 2021, "abstract": "BACKGROUND: The transcriptomic signature has not been fully elucidated in PV, as well as mRNA markers for clinical variables (thrombosis, leukemic transformation, survival, etc.). We attempted to reveal and validate crucial co-expression modules and marker mRNAs correlating with polycythemia vera (PV) by weighted gene co-expression network analysis (WGCNA).\nMATERIAL AND METHODS: The GSE57793/26014/61629 datasets were downloaded from Gene Expression Omnibus (GEO) database and integrated into one fused dataset. By R software and 'WGCNA' package, the PV-specific co-expression module was identified, the pathway enrichment profile of which was obtained by over-representation analysis (ORA). Protein-protein interaction (PPI) network and hub gene analysis identified MAPK14 as our target gene. Then the distribution of MAPK14 expression in different disease/mutation types, were depicted based on external independent datasets. Genome-scale correlation analysis revealed the association of MAPK14 and JAK/STAT family genes. Then gene set enrichment analysis (GSEA) was performed to detect the activated and suppressed pathways associating with MAPK14 expression. Moreover, GSE47018 dataset was utilized to compare clinical variables (thrombosis, leukemic transformation, survival, etc.) between MAPK14-high and MAPK14-low groups.\nRESULTS: An integrated dataset including 177 samples (83 PV, 35 ET, 17 PMF and 42 normal donors) were inputted into WGCNA. The 'tan' module was identified as the PV-specific module (R2 = 0.56, p = 8e-16), the genes of which were dominantly enriched in pro-inflammatory pathways (Toll-like receptor (TLR)/TNF signaling, etc.). MAPK14 is identified as the top hub gene in PV-related PPI network with the highest betweenness. External datasets validated that the MAPK14 expression was significantly higher in PV than that of essential thrombocytosis (ET)/primary myelofibrosis (PMF) patients and normal donors. JAK2 homozygous mutation carriers have higher level of MAPK14 than that of other mutation types. The expression of JAK/STAT family genes significantly correlated with MAPK14, which also contributed to the activation of oxidated phosphorylation, interferon-alpha (IFNα) response and PI3K-Akt-mTOR signaling, etc. Moreover, MAPK14-high group have more adverse clinical outcomes (splenectomy, thrombosis, disease aggressiveness) and inferior survival than MAPK14-low group.\nCONCLUSION: MAPK14 over-expression was identified as a transcriptomic feature of PV, which was also related to inferior clinical outcomes. The results provided novel insights for biomarkers and therapeutic targets for PV.", "claims": [{"id": "claim-method", "statement": "By R software and ‘WGCNA’ package, the PV-specific co-expression module was identified, the pathway enrichment profile of which was obtained by over-representation analysis (ORA).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34059095", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "By R software and ‘WGCNA’ package, the PV-specific co-expression module was identified, the pathway enrichment profile of which was obtained by over-representation analysis (ORA)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data that support the findings of this study are available from GEO database (https://www.ncbi.nlm.nih.gov/gds/), which are all publicly available.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34059095", "locator": "sections[25] \"notes\" paragraph 1", "quote": "The data that support the findings of this study are available from GEO database (https://www.ncbi.nlm.nih.gov/gds/), which are all publicly available."}], "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:34059095"], "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:GSE103237"], "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:GSE103237"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34059095", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1186/s12967-021-02913-3", "sha256": 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