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pmid:37180662

Identification of GINS1 as a potential prognostic biomarker for sarcoma using bioinformatic analysis.

Huanhuan Zhao · Xiaoxia He · Zhanbei Ma

Translational cancer research · 2023 doi:10.21037/tcr-23-524

Paper

complete

Experiment

complete

Data

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Analysis

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title
Identification of GINS1 as a potential prognostic biomarker for sarcoma using bioinformatic analysis.
doi
10.21037/tcr-23-524
pmid
37180662
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[0]
Huanhuan Zhao
[1]
Xiaoxia He
[2]
Zhanbei Ma
journal
Translational cancer research
year
2023
abstract
Background: The GINS complex is related to cancer development, invasion, and poor prognosis in multiple tumors. In the study, we attempted to investigate the prognostic value of GINS1 in sarcoma patients. Methods: We analyzed GINS1 expression using Tumor IMmune Estimation Resource (TIMER) 2.0, Gene Expression Omnibus (GEO; GSE21122, GSE39262, and GSE21050), and The Cancer Genome Atlas (TCGA) databases. The prognostic value of GINS1 was explored using the survival and survminer packages of R. Genetic alteration analysis was investigated using cBioPortal. The Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) R script was used for the immunocyte infiltration analysis. MicroRNAs (miRNAs) targeting GINS1 were predicted using GEO (GSE69470) and MicroRNA Target Prediction Database (miRDB). Results: We found that GINS1 was overexpressed in sarcoma, especially in metastatic samples, and was associated with a worse prognosis. High GINS1 expression was a poor prognostic indicator for sarcoma patients. Moreover, GINS1 alteration was associated with worse survival of sarcoma patients. Immune infiltration analysis indicated that GINS1 expression was correlated with the infiltration of M0 and M2 macrophages in sarcoma. Finally, the miRNA hsa-miR-376a-3p was identified to potentially regulate GINS1 in sarcoma. Conclusions: These results indicate that GINS1 may be a promising prognostic biomarker and therapeutic target for sarcoma.
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Overall survival (OS) and multivariate Cox regression analyses of sarcoma patients were performed by the survival and survminer packages in R.
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sections[6] "Survival analysis" paragraph 2
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Overall survival (OS) and multivariate Cox regression analyses of sarcoma patients were performed by the survival and survminer packages in R.
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A total of 174 sarcoma patients with complete metastasis information were obtained from The Cancer Genome Atlas (TCGA; https://cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga) (20) database.
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sections[5] "Expression level analysis of GINS1 in metastatic sarcoma" paragraph 2
quote
A total of 174 sarcoma patients with complete metastasis information were obtained from The Cancer Genome Atlas (TCGA; https://cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga) (20) database.
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Compared with low GINS1 expression, sarcoma patients with high GINS1 expression had a higher risk of death [hazard ratio (HR) = 1.80, 95% confidence interval (CI): 1.185–2.7, P=0.006, Figure 3B], indicating that high GINS1 expression was a poor prognostic indicator for sarcomas.
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Compared with low GINS1 expression, sarcoma patients with high GINS1 expression had a higher risk of death [hazard ratio (HR) = 1.80, 95% confidence interval (CI): 1.185–2.7, P=0.006, Figure 3B], indicating that high GINS1 expression was a poor prognostic indicator for sarcomas.
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sections[14] "The prognostic value of GINS1 in sarcoma" paragraph 4
quote
Compared with low GINS1 expression, sarcoma patients with high GINS1 expression had a higher risk of death [hazard ratio (HR) = 1.80, 95% confidence interval (CI): 1.185–2.7, P=0.006, Figure 3B], indicating that high GINS1 expression was a poor prognostic indicator for sarcomas.
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Compared with low GINS1 expression, sarcoma patients with high GINS1 expression had a higher risk of death [hazard ratio (HR) = 1.80, 95% confidence interval (CI): 1.185–2.7, P=0.006, Figure 3B], indicating that high GINS1 expression was a poor prognostic indicator for sarcomas.
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[131]
GSM528407
[132]
GSM528408
[133]
GSM528409
[134]
GSM528410
[135]
GSM528411
[136]
GSM528412
[137]
GSM528413
[138]
GSM528414
[139]
GSM528415
[140]
GSM528416
[141]
GSM528417
[142]
GSM528418
[143]
GSM528419
[144]
GSM528420
[145]
GSM528421
[146]
GSM528422
[147]
GSM528423
[148]
GSM528424
[149]
GSM528425
[150]
GSM528426
[151]
GSM528427
[152]
GSM528428
[153]
GSM528429
[154]
GSM528430
[155]
GSM528431
[156]
GSM528432
[157]
GSM528433
sample_count
158
group_sizes
null
group_sizes_basis
null
platform
96
taxon
Homo sapiens
title
Whole-transcript expression data for soft-tissue sarcoma tumors and control normal fat specimens
resolution_checked_at
2026-11-01T18:06:43Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 15 fields
id
data:geo:GSE39262
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=GSE39262
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE39262
version
null
note
A total of 174 sarcoma patients with complete metastasis information were obtained from The Cancer Genome Atlas (TCGA; https://cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga) (20) database.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
A total of 174 sarcoma patients with complete metastasis information were obtained from The Cancer Genome Atlas (TCGA; https://cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga) (20) database.
access_statement_kind
repository_route_statement
sample_accessions array · 51 items
[0]
GSM958993
[1]
GSM958994
[2]
GSM958995
[3]
GSM958996
[4]
GSM958997
[5]
GSM958998
[6]
GSM958999
[7]
GSM959000
[8]
GSM959001
[9]
GSM959002
[10]
GSM959003
[11]
GSM959004
[12]
GSM959005
[13]
GSM959006
[14]
GSM959007
[15]
GSM959008
[16]
GSM959009
[17]
GSM959010
[18]
GSM959011
[19]
GSM959012
[20]
GSM959013
[21]
GSM959014
[22]
GSM959015
[23]
GSM959016
[24]
GSM959017
[25]
GSM959018
[26]
GSM959019
[27]
GSM959020
[28]
GSM959021
[29]
GSM959022
[30]
GSM959023
[31]
GSM959024
[32]
GSM959025
[33]
GSM959026
[34]
GSM959027
[35]
GSM959028
[36]
GSM959029
[37]
GSM959030
[38]
GSM959031
[39]
GSM959032
[40]
GSM959033
[41]
GSM959034
[42]
GSM959035
[43]
GSM959036
[44]
GSM959037
[45]
GSM959038
[46]
GSM959039
[47]
GSM959040
[48]
GSM959041
[49]
GSM959042
[50]
GSM959043
sample_count
51
group_sizes
null
group_sizes_basis
null
platform
96
taxon
Homo sapiens
title
Human sarcoma cell lines and untransformed cells
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[4] object · 15 fields
id
data:geo:GSE69470
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=GSE69470
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE69470
version
null
note
A total of 174 sarcoma patients with complete metastasis information were obtained from The Cancer Genome Atlas (TCGA; https://cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga) (20) database.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
A total of 174 sarcoma patients with complete metastasis information were obtained from The Cancer Genome Atlas (TCGA; https://cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga) (20) database.
access_statement_kind
repository_route_statement
sample_accessions array · 77 items
[0]
GSM1701622
[1]
GSM1701623
[2]
GSM1701624
[3]
GSM1701625
[4]
GSM1701626
[5]
GSM1701627
[6]
GSM1701628
[7]
GSM1701629
[8]
GSM1701630
[9]
GSM1701631
[10]
GSM1701632
[11]
GSM1701633
[12]
GSM1701634
[13]
GSM1701635
[14]
GSM1701636
[15]
GSM1701637
[16]
GSM1701638
[17]
GSM1701639
[18]
GSM1701640
[19]
GSM1701641
[20]
GSM1701642
[21]
GSM1701643
[22]
GSM1701644
[23]
GSM1701645
[24]
GSM1701646
[25]
GSM1701647
[26]
GSM1701648
[27]
GSM1701649
[28]
GSM1701650
[29]
GSM1701651
[30]
GSM1701652
[31]
GSM1701653
[32]
GSM1701654
[33]
GSM1701655
[34]
GSM1701656
[35]
GSM1701657
[36]
GSM1701658
[37]
GSM1701659
[38]
GSM1701660
[39]
GSM1701661
[40]
GSM1701662
[41]
GSM1701663
[42]
GSM1701664
[43]
GSM1701665
[44]
GSM1701666
[45]
GSM1701667
[46]
GSM1701668
[47]
GSM1701669
[48]
GSM1701670
[49]
GSM1701671
[50]
GSM1701672
[51]
GSM1701673
[52]
GSM1701674
[53]
GSM1701675
[54]
GSM1701676
[55]
GSM1701677
[56]
GSM1701678
[57]
GSM1701679
[58]
GSM1701680
[59]
GSM1701681
[60]
GSM1701682
[61]
GSM1701683
[62]
GSM1701684
[63]
GSM1701685
[64]
GSM1701686
[65]
GSM1701687
[66]
GSM1701688
[67]
GSM1701689
[68]
GSM1701690
[69]
GSM1701691
[70]
GSM1701692
[71]
GSM1701693
[72]
GSM1701694
[73]
GSM1701695
[74]
GSM1701696
[75]
GSM1701697
[76]
GSM1701698
sample_count
77
group_sizes
null
group_sizes_basis
null
platform
20275
taxon
Homo sapiens
title
microRNA expression profiling of human sarcoma cell lines (~68) in the Molecular Pharmacology Branch, DTP, DCTD NCI collection of human cell lines
resolution_checked_at
2026-11-01T18:06:44Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 8 items
[0]
asset:data:geo:GSE21050 not downloaded
[1]
asset:data:geo:GSE21050 licence not read
[2]
asset:data:geo:GSE21122 not downloaded
[3]
asset:data:geo:GSE21122 licence not read
[4]
asset:data:geo:GSE39262 not downloaded
[5]
asset:data:geo:GSE39262 licence not read
[6]
asset:data:geo:GSE69470 not downloaded
[7]
asset:data:geo:GSE69470 licence not read
analysis object · 4 fields
state
partial
methods array · 3 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
verbatim
quote
Overall survival (OS) and multivariate Cox regression analyses of sarcoma patients were performed by the survival and survminer packages in R.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
wilcoxon
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_wilcoxon
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
Wilcoxon
[2] object · 10 fields
id
method-3
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
targets array · 2 items
[0] object · 8 fields
id
target-published-estimate
claim_id
claim-target-result
operation
cox_ph
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.
[1] object · 8 fields
id
target-published-estimate-p-value
claim_id
claim-target-result
operation
cox_ph
unit
p-value
tolerance
null
state
complete
note
The threshold the paper applied to its own result, as the paper states it. A run that reproduces the effect is judged against this threshold.
gaps array · 1 item
[0]
method.reader_differs_from_extractor
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 4 items
[0]
GSE21122
[1]
GSE39262
[2]
GSE21050
[3]
GSE69470
resolved_accessions array · 4 items
[0]
GSE21122
[1]
GSE39262
[2]
GSE21050
[3]
GSE69470
statements array · 1 item
[0]
A total of 174 sarcoma patients with complete metastasis information were obtained from The Cancer Genome Atlas (TCGA; https://cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga) (20) database.
basis
The paper names GSE21122, GSE39262, GSE21050, GSE69470 in NCBI 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]
cox_ph
assets array · 2 items
[0]
source:pmid:37180662
[1]
data:geo:GSE21050
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:GSE21050
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T18:39:39Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
null
calls
5
usage object · 3 fields
prompt_tokens
9205
completion_tokens
2067
cached_tokens
128
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:37180662
type
paper
label
pmid:37180662
[1] object · 3 fields
id
source:pmid:37180662
type
manuscript
label
PMID 37180662 full text
[2] object · 3 fields
id
data:geo:GSE21050
type
dataset
label
GEO GSE21050
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:37180662
type
paper
label
pmid:37180662
[1] object · 3 fields
id
source:pmid:37180662
type
manuscript
label
PMID 37180662 full text
[2] object · 3 fields
id
data:geo:GSE21050
type
dataset
label
GEO GSE21050
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-37180662
type
extraction
used array · 1 item
[0]
source:pmid:37180662
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE21050
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE21050
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:37180662
parent_hash
sha256:e628f0eed7c1f55667d134752fd20138450fa2ade8ccda2e128cf187807d4da8
fork_of
null
gaps array · 13 items
[0]
asset:data:geo:GSE21050 licence not read
[1]
asset:data:geo:GSE21050 not downloaded
[2]
asset:data:geo:GSE21122 licence not read
[3]
asset:data:geo:GSE21122 not downloaded
[4]
asset:data:geo:GSE39262 licence not read
[5]
asset:data:geo:GSE39262 not downloaded
[6]
asset:data:geo:GSE69470 licence not read
[7]
asset:data:geo:GSE69470 not downloaded
[8]
execution.not_run
[9]
method.reader_differs_from_extractor
[10]
review.human_critique
[11]
review.independent_reader
[12]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_id
microarray
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
untransformed primary cells were detected by Affymetrix Human Genome U133A Array (Affymetrix, Santa
[1]
cted by Affymetrix Human Genome U133A Array (Affymetrix, Santa Clara, CA, USA). Differential express
order_basis
paper_text_order:2159
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
cox_ph
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Overall survival (OS) and multivariate Cox regression analyses of sarcoma patients were performed by the survival and survminer packages in R.
order_basis
consumes_earlier_output
id
assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37180662", "kind": "science-record", "revision": 4, "content_hash": "sha256:5faae940ffc311189e1e9e9427e151f367464d154dbe00dcd29450502fa460a2", "created_at": "2026-11-01T19:01:51Z", "updated_at": "2026-11-01T22:51:53Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of GINS1 as a potential prognostic biomarker for sarcoma using bioinformatic analysis.", "doi": "10.21037/tcr-23-524", "pmid": "37180662", "authors": ["Huanhuan Zhao", "Xiaoxia He", "Zhanbei Ma"], "journal": "Translational cancer research", "year": 2023, "abstract": "Background: The GINS complex is related to cancer development, invasion, and poor prognosis in multiple tumors. In the study, we attempted to investigate the prognostic value of GINS1 in sarcoma patients.\nMethods: We analyzed GINS1 expression using Tumor IMmune Estimation Resource (TIMER) 2.0, Gene Expression Omnibus (GEO; GSE21122, GSE39262, and GSE21050), and The Cancer Genome Atlas (TCGA) databases. The prognostic value of GINS1 was explored using the survival and survminer packages of R. Genetic alteration analysis was investigated using cBioPortal. The Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) R script was used for the immunocyte infiltration analysis. MicroRNAs (miRNAs) targeting GINS1 were predicted using GEO (GSE69470) and MicroRNA Target Prediction Database (miRDB).\nResults: We found that GINS1 was overexpressed in sarcoma, especially in metastatic samples, and was associated with a worse prognosis. High GINS1 expression was a poor prognostic indicator for sarcoma patients. Moreover, GINS1 alteration was associated with worse survival of sarcoma patients. Immune infiltration analysis indicated that GINS1 expression was correlated with the infiltration of M0 and M2 macrophages in sarcoma. Finally, the miRNA hsa-miR-376a-3p was identified to potentially regulate GINS1 in sarcoma.\nConclusions: These results indicate that GINS1 may be a promising prognostic biomarker and therapeutic target for sarcoma.", "claims": [{"id": "claim-method", "statement": "Overall survival (OS) and multivariate Cox regression analyses of sarcoma patients were performed by the survival and survminer packages in R.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37180662", "locator": "sections[6] \"Survival analysis\" paragraph 2", "quote": "Overall survival (OS) and multivariate Cox regression analyses of sarcoma patients were performed by the survival and survminer packages in R."}], "state": "complete"}, {"id": "claim-data-access", "statement": "A total of 174 sarcoma patients with complete metastasis information were obtained from The Cancer Genome Atlas (TCGA; https://cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga) (20) database.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37180662", "locator": "sections[5] \"Expression level analysis of GINS1 in metastatic sarcoma\" paragraph 2", "quote": "A total of 174 sarcoma patients with complete metastasis information were obtained from The Cancer Genome Atlas (TCGA; https://cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga) (20) database."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Compared with low GINS1 expression, sarcoma patients with high GINS1 expression had a higher risk of death [hazard ratio (HR) = 1.80, 95% confidence interval (CI): 1.185–2.7, P=0.006, Figure 3B], indicating that high GINS1 expression was a poor prognostic indicator for sarcomas.", "kind": "quantitative", "target": {"value": 95.0, "unit": "per cent", "tolerance": null, "source": "Compared with low GINS1 expression, sarcoma patients with high GINS1 expression had a higher risk of death [hazard ratio (HR) = 1.80, 95% confidence interval (CI): 1.185–2.7, P=0.006, Figure 3B], indicating that high GINS1 expression was a poor prognostic indicator for sarcomas."}, "evidence": [{"asset": "source:pmid:37180662", "locator": "sections[14] \"The prognostic value of GINS1 in sarcoma\" paragraph 4", "quote": "Compared with low GINS1 expression, sarcoma patients with high GINS1 expression had a higher risk of death [hazard ratio (HR) = 1.80, 95% confidence interval (CI): 1.185–2.7, P=0.006, Figure 3B], indicating that high GINS1 expression was a poor prognostic indicator for sarcomas."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Compared with low GINS1 expression, sarcoma patients with high GINS1 expression had a higher risk of death [hazard ratio (HR) = 1.80, 95% confidence interval (CI): 1.185–2.7, P=0.006, Figure 3B], indicating that high GINS1 expression was a poor prognostic indicator for sarcomas.", "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:37180662"], "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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Differential express"], "order_basis": "paper_text_order:2159", "id": "assay:1"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["cox_ph"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Overall survival (OS) and multivariate Cox regression analyses of sarcoma patients were performed by the survival and survminer packages in R."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}