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pmid:36110252

O-Glycosylating Enzyme GALNT2 Predicts Worse Prognosis in Cervical Cancer.

Lixia Zhou · Huiqin Wu · Xingli Bai · Shuyun Min · Jiawen Zhang · Cunli Li

Pathology oncology research : POR · 2022 doi:10.3389/pore.2022.1610554

Paper

complete

Experiment

complete

Data

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Execution

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title
O-Glycosylating Enzyme GALNT2 Predicts Worse Prognosis in Cervical Cancer.
doi
10.3389/pore.2022.1610554
pmid
36110252
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[0]
Lixia Zhou
[1]
Huiqin Wu
[2]
Xingli Bai
[3]
Shuyun Min
[4]
Jiawen Zhang
[5]
Cunli Li
journal
Pathology oncology research : POR
year
2022
abstract
Identification of novel biomarkers is helpful for the diagnosis and treatment of cervical cancer. Mucin glycosylating enzyme GALNT2 modulates mucin O-glycosylation, and has been revealed as a regulator of tumorigenesis in various cancers. However, the expression pattern of GALNT2 in cervical cancer is still unclear. In this study, we demonstrated that the mRNA expression and protein level of GALNT2 were increased in cervical high-grade intraepithelial neoplasia and tumor tissues compared with normal cervix tissues. Kaplan-Meier plotter showed that overexpression of GALNT2 was associated with worse overall survival in TCGA cohort (p < 0.001, HR = 2.65, 95% CI = 1.62-4.34) and poor disease free survival in GSE44001 cohort (p = 0.0218, HR = 2.15, 95% CI = 1.14-4.06). In addition, GSEA analysis showed that various immune-related pathways were closely related to the expression of GALNT2 in cervical cancer. Moreover, co-expression of GALNT2 and IL1A, IL1B, IL11, CXCL1, CXCL2, CXCL5, CXCL6, CXCR1, or CCR3 predicted poor overall survival, and the expression of GALNT2 also affected the prognostic value of CD47, CD274, CD276, CSF1R, TNFSF9, and TNFSF11 in cervical cancer patients. These findings suggest that GALNT2 might be used as a prognostic biomarker in cervical cancer.
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Survival rate was analyzed by using the Kaplan-Meier method with log-rank test.
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Survival rate was analyzed by using the Kaplan-Meier method with log-rank test.
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Kaplan-Meier plotter showed that overexpression of GALNT2 was associated with worse overall survival in TCGA cohort (p < 0.001, HR = 2.65, 95% CI = 1.62–4.34) and poor disease free survival in GSE44001 cohort (p = 0.0218, HR = 2.15, 95% CI = 1.14–4.06).
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Kaplan-Meier plotter showed that overexpression of GALNT2 was associated with worse overall survival in TCGA cohort (p < 0.001, HR = 2.65, 95% CI = 1.62–4.34) and poor disease free survival in GSE44001 cohort (p = 0.0218, HR = 2.15, 95% CI = 1.14–4.06).
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Kaplan-Meier plotter showed that overexpression of GALNT2 was associated with worse overall survival in TCGA cohort (p < 0.001, HR = 2.65, 95% CI = 1.62–4.34) and poor disease free survival in GSE44001 cohort (p = 0.0218, HR = 2.15, 95% CI = 1.14–4.06).
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Kaplan-Meier plotter showed that overexpression of GALNT2 was associated with worse overall survival in TCGA cohort (p < 0.001, HR = 2.65, 95% CI = 1.62–4.34) and poor disease free survival in GSE44001 cohort (p = 0.0218, HR = 2.15, 95% CI = 1.14–4.06).
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[15]
GSM178843
[16]
GSM178844
[17]
GSM178845
[18]
GSM178846
[19]
GSM178847
[20]
GSM178848
[21]
GSM178849
[22]
GSM178850
[23]
GSM178851
[24]
GSM178852
[25]
GSM178853
[26]
GSM178854
[27]
GSM178855
[28]
GSM178856
[29]
GSM178857
[30]
GSM178858
[31]
GSM178859
[32]
GSM178860
[33]
GSM178861
[34]
GSM178862
[35]
GSM178863
[36]
GSM178864
[37]
GSM178865
[38]
GSM178866
[39]
GSM178867
[40]
GSM178868
[41]
GSM178869
[42]
GSM178870
[43]
GSM178871
[44]
GSM178872
sample_count
45
group_sizes
null
group_sizes_basis
null
platform
1708
taxon
Homo sapiens
title
Gene expression in early stage cervical cancer
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 · 15 fields
id
data:geo:GSE7803
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=GSE7803
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE7803
version
null
note
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.
access_statement_kind
data_availability_statement
sample_accessions array · 41 items
[0]
GSM189381
[1]
GSM189382
[2]
GSM189383
[3]
GSM189384
[4]
GSM189385
[5]
GSM189386
[6]
GSM189387
[7]
GSM189388
[8]
GSM189389
[9]
GSM189390
[10]
GSM189391
[11]
GSM189392
[12]
GSM189393
[13]
GSM189394
[14]
GSM189395
[15]
GSM189396
[16]
GSM189397
[17]
GSM189398
[18]
GSM189399
[19]
GSM189400
[20]
GSM189401
[21]
GSM189402
[22]
GSM189403
[23]
GSM189404
[24]
GSM189405
[25]
GSM189406
[26]
GSM189407
[27]
GSM189408
[28]
GSM189409
[29]
GSM189410
[30]
GSM189411
[31]
GSM189412
[32]
GSM189413
[33]
GSM189414
[34]
GSM189415
[35]
GSM189416
[36]
GSM189417
[37]
GSM189418
[38]
GSM189419
[39]
GSM189420
[40]
GSM189421
sample_count
41
group_sizes
null
group_sizes_basis
null
platform
96
taxon
Homo sapiens
title
Human pre-invasive and invasive cervical squamous cell carcinomas and normal cervical epithelia
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[5] object · 15 fields
id
data:geo:GSE9750
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=GSE9750
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE9750
version
null
note
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.
access_statement_kind
data_availability_statement
sample_accessions array · 66 items
[0]
GSM246087
[1]
GSM246088
[2]
GSM246089
[3]
GSM246090
[4]
GSM246119
[5]
GSM246120
[6]
GSM246121
[7]
GSM246122
[8]
GSM246123
[9]
GSM246422
[10]
GSM246423
[11]
GSM246484
[12]
GSM246485
[13]
GSM246486
[14]
GSM246487
[15]
GSM246488
[16]
GSM246489
[17]
GSM246490
[18]
GSM246491
[19]
GSM247162
[20]
GSM247163
[21]
GSM247164
[22]
GSM247165
[23]
GSM247166
[24]
GSM247168
[25]
GSM247169
[26]
GSM247171
[27]
GSM247173
[28]
GSM247174
[29]
GSM247175
[30]
GSM247188
[31]
GSM247189
[32]
GSM247190
[33]
GSM247650
[34]
GSM247651
[35]
GSM247652
[36]
GSM247653
[37]
GSM247654
[38]
GSM247655
[39]
GSM247656
[40]
GSM247657
[41]
GSM247658
[42]
GSM247659
[43]
GSM247660
[44]
GSM247661
[45]
GSM247662
[46]
GSM247663
[47]
GSM247856
[48]
GSM247857
[49]
GSM247859
[50]
GSM247860
[51]
GSM247862
[52]
GSM247864
[53]
GSM247865
[54]
GSM247866
[55]
GSM247876
[56]
GSM247877
[57]
GSM247878
[58]
GSM247879
[59]
GSM247881
[60]
GSM247882
[61]
GSM247883
[62]
GSM247884
[63]
GSM247885
[64]
GSM247886
[65]
GSM247887
sample_count
66
group_sizes
null
group_sizes_basis
null
platform
96
taxon
Homo sapiens
title
Identification of gene expression profiles in cervical cancer
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 10 items
[0]
asset:data:geo:GSE44001 not downloaded
[1]
asset:data:geo:GSE44001 licence not read
[2]
asset:data:geo:GSE6791 not downloaded
[3]
asset:data:geo:GSE6791 licence not read
[4]
asset:data:geo:GSE7410 not downloaded
[5]
asset:data:geo:GSE7410 licence not read
[6]
asset:data:geo:GSE7803 not downloaded
[7]
asset:data:geo:GSE7803 licence not read
[8]
asset:data:geo:GSE9750 not downloaded
[9]
asset:data:geo:GSE9750 licence not read
analysis object · 4 fields
state
partial
methods array · 6 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
kaplan_meier
label
Survival analysis
dsl_operations array · 1 item
[0]
survival_km
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
verbatim
quote
Survival rate was analyzed by using the Kaplan-Meier method with log-rank test.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
mann_whitney
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_mann_whitney
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
Mann-Whitney
[2] object · 10 fields
id
method-3
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
[3] object · 10 fields
id
method-4
family
survival_analysis
specific
log_rank_test
label
Survival analysis
dsl_operations array · 1 item
[0]
logrank_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.8
band
high
quote
log-rank
[4] object · 10 fields
id
method-5
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
[5] object · 10 fields
id
method-6
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
0.8
band
high
quote
pathway enrichment
targets array · 1 item
[0] object · 8 fields
id
target-published-estimate
claim_id
claim-target-result
operation
bootstrap_mean_difference
unit
per cent
tolerance
null
state
complete
note
The published estimate as the reader quoted it from the paper. No tolerance is published because the paper states none.
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]
survival_km
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: kaplan_meier.
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 · 5 items
[0]
GSE9750
[1]
GSE7803
[2]
GSE6791
[3]
GSE7410
[4]
GSE44001
resolved_accessions array · 5 items
[0]
GSE9750
[1]
GSE7803
[2]
GSE6791
[3]
GSE7410
[4]
GSE44001
statements array · 1 item
[0]
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.
basis
The paper names GSE9750, GSE7803, GSE6791, GSE7410, GSE44001 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
survival_km
assets array · 2 items
[0]
source:pmid:36110252
[1]
data:geo:GSE44001
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[0]
run_analysis
must_build object · 5 fields
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readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE44001
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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
2026-11-01T18:05:34Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
10254
completion_tokens
2000
cached_tokens
256
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[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
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review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
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null
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gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:36110252
type
paper
label
pmid:36110252
[1] object · 3 fields
id
source:pmid:36110252
type
manuscript
label
PMID 36110252 full text
[2] object · 3 fields
id
data:geo:GSE44001
type
dataset
label
GEO GSE44001
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:36110252
type
paper
label
pmid:36110252
[1] object · 3 fields
id
source:pmid:36110252
type
manuscript
label
PMID 36110252 full text
[2] object · 3 fields
id
data:geo:GSE44001
type
dataset
label
GEO GSE44001
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-36110252
type
extraction
used array · 1 item
[0]
source:pmid:36110252
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE44001
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accession_resolution
used array · 1 item
[0]
data:geo:GSE44001
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agent:corpus-assay-engine
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[0] object · 3 fields
id
agent:corpus-assay-engine
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software
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Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
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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:36110252
parent_hash
sha256:6c63930f73aaa9989a861dc2f8f9c4affa1d436edc4d617cbc316d3ca16d69be
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null
gaps array · 15 items
[0]
asset:data:geo:GSE44001 licence not read
[1]
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[2]
asset:data:geo:GSE6791 licence not read
[3]
asset:data:geo:GSE6791 not downloaded
[4]
asset:data:geo:GSE7410 licence not read
[5]
asset:data:geo:GSE7410 not downloaded
[6]
asset:data:geo:GSE7803 licence not read
[7]
asset:data:geo:GSE7803 not downloaded
[8]
asset:data:geo:GSE9750 licence not read
[9]
asset:data:geo:GSE9750 not downloaded
[10]
execution.not_run
[11]
method.reader_differs_from_extractor
[12]
review.human_critique
[13]
review.independent_reader
[14]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
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survival_km
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Survival rate was analyzed by using the Kaplan-Meier method with log-rank test.
order_basis
analysis_only
id
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36110252", "kind": "science-record", "revision": 5, "content_hash": "sha256:9fbe107861d7aeecd8d6a9948e50eff6a66c351bd43f0553ab722b8e5eb3947f", "created_at": "2026-11-01T18:15:21Z", "updated_at": "2026-11-01T22:50:05Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "O-Glycosylating Enzyme GALNT2 Predicts Worse Prognosis in Cervical Cancer.", "doi": "10.3389/pore.2022.1610554", "pmid": "36110252", "authors": ["Lixia Zhou", "Huiqin Wu", "Xingli Bai", "Shuyun Min", "Jiawen Zhang", "Cunli Li"], "journal": "Pathology oncology research : POR", "year": 2022, "abstract": "Identification of novel biomarkers is helpful for the diagnosis and treatment of cervical cancer. Mucin glycosylating enzyme GALNT2 modulates mucin O-glycosylation, and has been revealed as a regulator of tumorigenesis in various cancers. However, the expression pattern of GALNT2 in cervical cancer is still unclear. In this study, we demonstrated that the mRNA expression and protein level of GALNT2 were increased in cervical high-grade intraepithelial neoplasia and tumor tissues compared with normal cervix tissues. Kaplan-Meier plotter showed that overexpression of GALNT2 was associated with worse overall survival in TCGA cohort (p < 0.001, HR = 2.65, 95% CI = 1.62-4.34) and poor disease free survival in GSE44001 cohort (p = 0.0218, HR = 2.15, 95% CI = 1.14-4.06). In addition, GSEA analysis showed that various immune-related pathways were closely related to the expression of GALNT2 in cervical cancer. Moreover, co-expression of GALNT2 and IL1A, IL1B, IL11, CXCL1, CXCL2, CXCL5, CXCL6, CXCR1, or CCR3 predicted poor overall survival, and the expression of GALNT2 also affected the prognostic value of CD47, CD274, CD276, CSF1R, TNFSF9, and TNFSF11 in cervical cancer patients. These findings suggest that GALNT2 might be used as a prognostic biomarker in cervical cancer.", "claims": [{"id": "claim-method", "statement": "Survival rate was analyzed by using the Kaplan-Meier method with log-rank test.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36110252", "locator": "sections[5] \"Statistical Analysis\" paragraph 2", "quote": "Survival rate was analyzed by using the Kaplan-Meier method with log-rank test."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36110252", "locator": "sections[16] \"Data Availability Statement\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Kaplan-Meier plotter showed that overexpression of GALNT2 was associated with worse overall survival in TCGA cohort (p < 0.001, HR = 2.65, 95% CI = 1.62–4.34) and poor disease free survival in GSE44001 cohort (p = 0.0218, HR = 2.15, 95% CI = 1.14–4.06).", "kind": "quantitative", "target": {"value": 95.0, "unit": "per cent", "tolerance": null, "source": "Kaplan-Meier plotter showed that overexpression of GALNT2 was associated with worse overall survival in TCGA cohort (p < 0.001, HR = 2.65, 95% CI = 1.62–4.34) and poor disease free survival in GSE44001 cohort (p = 0.0218, HR = 2.15, 95% CI = 1.14–4.06)."}, "evidence": [{"asset": "source:pmid:36110252", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Kaplan-Meier plotter showed that overexpression of GALNT2 was associated with worse overall survival in TCGA cohort (p < 0.001, HR = 2.65, 95% CI = 1.62–4.34) and poor disease free survival in GSE44001 cohort (p = 0.0218, HR = 2.15, 95% CI = 1.14–4.06)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Kaplan-Meier plotter showed that overexpression of GALNT2 was associated with worse overall survival in TCGA cohort (p < 0.001, HR = 2.65, 95% CI = 1.62–4.34) and poor disease free survival in GSE44001 cohort (p = 0.0218, HR = 2.15, 95% CI = 1.14–4.06).", "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:36110252"], "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. 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