Corpus Engine Towards a reproducible .science file.
← All .science files

pmid:38914980

Ascites-derived hsa-miR-181a-5p serves as a prognostic marker for gastric cancer-associated malignant ascites.

Yongchao Yang · Junliang Zhang

BMC genomics · 2024 doi:10.1186/s12864-024-10359-2

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:38914980
kind
science-record
content_hash
sha256:2ed0cc269a1e6cdf1af71246a7154edad3adb080e54a6f2670ad627d8bf0cb5f
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T20:28:59Z
updated_at
2026-11-01T22:54:34Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Ascites-derived hsa-miR-181a-5p serves as a prognostic marker for gastric cancer-associated malignant ascites.
doi
10.1186/s12864-024-10359-2
pmid
38914980
authors array · 2 items
[0]
Yongchao Yang
[1]
Junliang Zhang
journal
BMC genomics
year
2024
abstract
BACKGROUND: Peritoneal carcinomatosis was the main reason leading to gastric cancer (GC)-related death. We aimed to explore the roles of dysregulated microRNAs (miRNAs) and related immune regulation activities in GC-associated malignant ascites. METHODS: GSE126399 were downloaded from GEO database. Differentially expressed miRNAs in GC ascites samples was firstly screened, and critical miRNAs were further investigated by LASSO (least absolute shrinkage and selection operator) logistic regression and random forest (RF) algorithm. Receiver operating characteristic of critical miRNAs was also constructed. Moreover, functional analysis, immune cell infiltration associated with differentially expressed mRNAs were further analyzed. After selecting key modules by weighted gene co-expression network analysis, mRNAs related with survival performance and transcription factor (TF)-miRNA-mRNA network were constructed. RESULTS: Hsa-miR-181b-5p was confirmed as critical differentially expressed miRNAs in GC ascites. Then, the tumor samples were divided into high- and low- expression groups divided by mean expression levels of hsa-miR-181b-5p, and subjects with high hsa-miR-181b-5p levels had better survival outcomes. In total, 197 differentially expressed mRNAs associated with hsa-miR-181b-5p levels were obtained, and these mRNAs were mainly enriched in muscle activity and vascular smooth muscle contraction. Hsa-miR-181b-5 was positively related with activated CD4 T cells and negatively related with eosinophil. 17 mRNAs were selected as mRNAs significantly related with prognosis of GC, such as PDK4 and RAMP1. Finally, 75 TF-miRNA-mRNA relationships were obtained, including 15 TFs, hsa-miR-181b-5p, and five mRNAs. CONCLUSION: Our data suggest that the differentially expressed hsa-miR-181b-5p in ascites samples of GC patients may be a valuable prognostic marker and a potential target for therapeutic intervention, which should be validated in the near future.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
Differentially expressed miRNAs in GC were screened using “limma” in R package [9]. Then, the results were visualized using ggplot2 in R package [10]. P < 0.05 and |log2 fold change (FC)| >0.5 were defined as thresholds for screening differentially expressed miRNAs.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:38914980
locator
sections[4] "Screening differentially expressed miRNAs" paragraph 2
quote
Differentially expressed miRNAs in GC were screened using “limma” in R package [9]. Then, the results were visualized using ggplot2 in R package [10]. P < 0.05 and |log2 fold change (FC)| >0.5 were defined as thresholds for screening differentially expressed miRNAs.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The data used to support the findings of this study are available from the corresponding author upon request.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:38914980
locator
sections[33] "notes" paragraph 1
quote
The data used to support the findings of this study are available from the corresponding author upon request.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
hsa-miR-181b-5p was the sole critical miRNA identified by intersecting LASSO and random forest analyses and showed diagnostic and prognostic performance in gastric cancer.
kind
quantitative
target object · 4 fields
value
0.047
unit
p-value
tolerance
null
source
Subjects with high expressed levels of hsa-miR-181b-5p had better survival outcomes (P = 0.047).
evidence array · 3 items
[0] object · 3 fields
asset
source:pmid:38914980
locator
sections[15] "Critical miRNAs based on machine learning" paragraph 5
quote
Finally, hsa-miR-181b-5p was confirmed as the only one intersection of LASSO algorithm and RF algorithm (Fig. 2E).
[1] object · 3 fields
asset
source:pmid:38914980
locator
sections[16] "The diagnostic and prognostic role of hsa-miR-181b-5p" paragraph 2
quote
As shown in Fig. 3A, the AUC of hsa-miR-181b-5p for diagnosing GC was 0.767, suggesting the good predictive ability of hsa-miR-181b-5p for identifying GC from controls.
[2] object · 3 fields
asset
source:pmid:38914980
locator
sections[16] "The diagnostic and prognostic role of hsa-miR-181b-5p" paragraph 4
quote
Subjects with high expressed levels of hsa-miR-181b-5p had better survival outcomes (P = 0.047).
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
hsa-miR-181b-5p was the sole critical miRNA identified by intersecting LASSO and random forest analyses and showed diagnostic and prognostic performance in gastric cancer.
steps array · 3 items
[0] object · 13 fields
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.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:38914980
outputs array · 1 item
[0]
the published estimate and its evidence
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
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.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE126399
outputs array · 1 item
[0]
the source data with its repository provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
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.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE126399
outputs array · 1 item
[0]
the replicated result and its comparison
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
state
partial
assets array · 2 items
[0] object · 15 fields
id
source:pmid:38914980
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1186/s12864-024-10359-2
sha256
sha256:babe51554b5594fb2633e5e0dbc2102dd9aeea1e93bb7f6e5cbaf9e821396fc1
bytes
33414
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1186/s12864-024-10359-2
version
null
note
Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
structure object · 4 fields
pmcid
PMC11194912
source
europe_pmc_fulltext
coverage
whole_body_without_references
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE126399
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=GSE126399
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE126399
version
null
note
The data used to support the findings of this study are available from the corresponding author upon request.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The data used to support the findings of this study are available from the corresponding author upon request.
access_statement_kind
data_availability_statement
sample_accessions array · 22 items
[0]
GSM3597761
[1]
GSM3597762
[2]
GSM3597763
[3]
GSM3597764
[4]
GSM3597765
[5]
GSM3597766
[6]
GSM3597767
[7]
GSM3597768
[8]
GSM3597769
[9]
GSM3597770
[10]
GSM3597771
[11]
GSM3597772
[12]
GSM3597773
[13]
GSM3597774
[14]
GSM3597775
[15]
GSM3597776
[16]
GSM3597777
[17]
GSM3597778
[18]
GSM3597779
[19]
GSM3597780
[20]
GSM3597781
[21]
GSM3597782
sample_count
22
group_sizes
null
group_sizes_basis
null
platform
18402
taxon
Homo sapiens
title
Ascites-derived circulating microRNAs as potential diagnostic biomarkers of gastric cancer-associated malignant ascites
resolution_checked_at
2026-11-01T20:16:08Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 2 items
[0]
asset:data:geo:GSE126399 not downloaded
[1]
asset:data:geo:GSE126399 licence not read
analysis object · 4 fields
state
partial
methods array · 4 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
Differentially expressed miRNAs in GC were screened using “limma” in R package [9]. Then, the results were visualized using ggplot2 in R package [10]. P < 0.05 and |log2 fold change (FC)| >0.5 were defined as thresholds for screening differentially expressed miRNAs.
[1] object · 10 fields
id
method-2
family
differential_expression
specific
limma_voom
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
0.8
band
high
quote
limma
[2] object · 10 fields
id
method-3
family
machine_learning
specific
random_forest
label
Machine learning
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
machine_learning_random_forest
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
labelled_feature_matrix
evidence object · 3 fields
score
0.7
band
medium
quote
random forest
[3] object · 10 fields
id
method-4
family
regression_modelling
specific
logistic
label
Regression modelling
dsl_operations array · 1 item
[0]
glm_logit_fit
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
predictors_and_outcome
evidence object · 3 fields
score
0.7
band
medium
quote
logistic regression
targets array · 1 item
[0] object · 8 fields
id
target-published-estimate
claim_id
claim-target-result
operation
differential_expression_fit
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]
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 · 1 item
[0]
GSE126399
resolved_accessions array · 1 item
[0]
GSE126399
statements array · 1 item
[0]
The data used to support the findings of this study are available from the corresponding author upon request.
basis
The paper names GSE126399 in Gene expression omnibus (GEO) database 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:38914980
[1]
data:geo:GSE126399
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:GSE126399
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
2026-11-01T19:22:13Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
9998
completion_tokens
1376
cached_tokens
264
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:38914980
type
paper
label
pmid:38914980
[1] object · 3 fields
id
source:pmid:38914980
type
manuscript
label
PMID 38914980 full text
[2] object · 3 fields
id
data:geo:GSE126399
type
dataset
label
GEO GSE126399
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:38914980
type
paper
label
pmid:38914980
[1] object · 3 fields
id
source:pmid:38914980
type
manuscript
label
PMID 38914980 full text
[2] object · 3 fields
id
data:geo:GSE126399
type
dataset
label
GEO GSE126399
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-38914980
type
extraction
used array · 1 item
[0]
source:pmid:38914980
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE126399
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE126399
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:38914980
parent_hash
sha256:5525b4e0c57cd52f369536a617e12755b13b219cc9f07edf5db576caeeea63ca
fork_of
null
gaps array · 7 items
[0]
asset:data:geo:GSE126399 licence not read
[1]
asset:data:geo:GSE126399 not downloaded
[2]
execution.not_run
[3]
method.reader_differs_from_extractor
[4]
review.human_critique
[5]
review.independent_reader
[6]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
survival_km
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Differentially expressed miRNAs in GC were screened using “limma” in R package [9]. Then, the results were visualized using ggplot2 in R package [10]. P < 0.05 and |log2 fold change (FC)| >0.5 were defined as thresholds for screening differentially expressed miRNAs.
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38914980", "kind": "science-record", "revision": 4, "content_hash": "sha256:2ed0cc269a1e6cdf1af71246a7154edad3adb080e54a6f2670ad627d8bf0cb5f", "created_at": "2026-11-01T20:28:59Z", "updated_at": "2026-11-01T22:54:34Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Ascites-derived hsa-miR-181a-5p serves as a prognostic marker for gastric cancer-associated malignant ascites.", "doi": "10.1186/s12864-024-10359-2", "pmid": "38914980", "authors": ["Yongchao Yang", "Junliang Zhang"], "journal": "BMC genomics", "year": 2024, "abstract": "BACKGROUND: Peritoneal carcinomatosis was the main reason leading to gastric cancer (GC)-related death. We aimed to explore the roles of dysregulated microRNAs (miRNAs) and related immune regulation activities in GC-associated malignant ascites.\nMETHODS: GSE126399 were downloaded from GEO database. Differentially expressed miRNAs in GC ascites samples was firstly screened, and critical miRNAs were further investigated by LASSO (least absolute shrinkage and selection operator) logistic regression and random forest (RF) algorithm. Receiver operating characteristic of critical miRNAs was also constructed. Moreover, functional analysis, immune cell infiltration associated with differentially expressed mRNAs were further analyzed. After selecting key modules by weighted gene co-expression network analysis, mRNAs related with survival performance and transcription factor (TF)-miRNA-mRNA network were constructed.\nRESULTS: Hsa-miR-181b-5p was confirmed as critical differentially expressed miRNAs in GC ascites. Then, the tumor samples were divided into high- and low- expression groups divided by mean expression levels of hsa-miR-181b-5p, and subjects with high hsa-miR-181b-5p levels had better survival outcomes. In total, 197 differentially expressed mRNAs associated with hsa-miR-181b-5p levels were obtained, and these mRNAs were mainly enriched in muscle activity and vascular smooth muscle contraction. Hsa-miR-181b-5 was positively related with activated CD4 T cells and negatively related with eosinophil. 17 mRNAs were selected as mRNAs significantly related with prognosis of GC, such as PDK4 and RAMP1. Finally, 75 TF-miRNA-mRNA relationships were obtained, including 15 TFs, hsa-miR-181b-5p, and five mRNAs.\nCONCLUSION: Our data suggest that the differentially expressed hsa-miR-181b-5p in ascites samples of GC patients may be a valuable prognostic marker and a potential target for therapeutic intervention, which should be validated in the near future.", "claims": [{"id": "claim-method", "statement": "Differentially expressed miRNAs in GC were screened using “limma” in R package [9]. Then, the results were visualized using ggplot2 in R package [10]. P < 0.05 and |log2 fold change (FC)| >0.5 were defined as thresholds for screening differentially expressed miRNAs.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38914980", "locator": "sections[4] \"Screening differentially expressed miRNAs\" paragraph 2", "quote": "Differentially expressed miRNAs in GC were screened using “limma” in R package [9]. Then, the results were visualized using ggplot2 in R package [10]. P < 0.05 and |log2 fold change (FC)| >0.5 were defined as thresholds for screening differentially expressed miRNAs."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data used to support the findings of this study are available from the corresponding author upon request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38914980", "locator": "sections[33] \"notes\" paragraph 1", "quote": "The data used to support the findings of this study are available from the corresponding author upon request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "hsa-miR-181b-5p was the sole critical miRNA identified by intersecting LASSO and random forest analyses and showed diagnostic and prognostic performance in gastric cancer.", "kind": "quantitative", "target": {"value": 0.047, "unit": "p-value", "tolerance": null, "source": "Subjects with high expressed levels of hsa-miR-181b-5p had better survival outcomes (P = 0.047)."}, "evidence": [{"asset": "source:pmid:38914980", "locator": "sections[15] \"Critical miRNAs based on machine learning\" paragraph 5", "quote": "Finally, hsa-miR-181b-5p was confirmed as the only one intersection of LASSO algorithm and RF algorithm (Fig. 2E)."}, {"asset": "source:pmid:38914980", "locator": "sections[16] \"The diagnostic and prognostic role of hsa-miR-181b-5p\" paragraph 2", "quote": "As shown in Fig. 3A, the AUC of hsa-miR-181b-5p for diagnosing GC was 0.767, suggesting the good predictive ability of hsa-miR-181b-5p for identifying GC from controls."}, {"asset": "source:pmid:38914980", "locator": "sections[16] \"The diagnostic and prognostic role of hsa-miR-181b-5p\" paragraph 4", "quote": "Subjects with high expressed levels of hsa-miR-181b-5p had better survival outcomes (P = 0.047)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "hsa-miR-181b-5p was the sole critical miRNA identified by intersecting LASSO and random forest analyses and showed diagnostic and prognostic performance in gastric cancer.", "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:38914980"], "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:GSE126399"], "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:GSE126399"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:38914980", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1186/s12864-024-10359-2", "sha256": "sha256:babe51554b5594fb2633e5e0dbc2102dd9aeea1e93bb7f6e5cbaf9e821396fc1", "bytes": 33414, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1186/s12864-024-10359-2", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC11194912", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE126399", "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=GSE126399", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE126399", "version": null, "note": "The data used to support the findings of this study are available from the corresponding author upon request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The data used to support the findings of this study are available from the corresponding author upon request.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM3597761", "GSM3597762", "GSM3597763", "GSM3597764", "GSM3597765", "GSM3597766", "GSM3597767", "GSM3597768", "GSM3597769", "GSM3597770", "GSM3597771", "GSM3597772", "GSM3597773", "GSM3597774", "GSM3597775", "GSM3597776", "GSM3597777", "GSM3597778", "GSM3597779", "GSM3597780", "GSM3597781", "GSM3597782"], "sample_count": 22, "group_sizes": null, "group_sizes_basis": null, "platform": "18402", "taxon": "Homo sapiens", "title": "Ascites-derived circulating microRNAs as potential diagnostic biomarkers of gastric cancer-associated malignant ascites", "resolution_checked_at": "2026-11-01T20:16:08Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE126399 not downloaded", "asset:data:geo:GSE126399 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "survival_analysis", "specific": "kaplan_meier", "label": "Survival analysis", "dsl_operations": ["survival_km"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Differentially expressed miRNAs in GC were screened using “limma” in R package [9]. Then, the results were visualized using ggplot2 in R package [10]. P < 0.05 and |log2 fold change (FC)| >0.5 were defined as thresholds for screening differentially expressed miRNAs."}}, {"id": "method-2", "family": "differential_expression", "specific": "limma_voom", "label": "Differential expression analysis", "dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["count_matrix_with_condition"], "evidence": {"score": 0.8, "band": "high", "quote": "limma"}}, {"id": "method-3", "family": "machine_learning", "specific": "random_forest", "label": "Machine learning", "dsl_operations": [], "missing_operations": ["machine_learning_random_forest"], "expressible": false, "parameters": {}, "data_shapes": ["labelled_feature_matrix"], "evidence": {"score": 0.7, "band": "medium", "quote": "random forest"}}, {"id": "method-4", "family": "regression_modelling", "specific": "logistic", "label": "Regression modelling", "dsl_operations": ["glm_logit_fit"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["predictors_and_outcome"], "evidence": {"score": 0.7, "band": "medium", "quote": "logistic regression"}}], "targets": [{"id": "target-published-estimate", "claim_id": "claim-target-result", "operation": "differential_expression_fit", "expected_value": 0.047, "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": ["method.reader_differs_from_extractor"]}, "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": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["survival_km"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: kaplan_meier."}, "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": ["GSE126399"], "resolved_accessions": ["GSE126399"], "statements": ["The data used to support the findings of this study are available from the corresponding author upon request."], "basis": "The paper names GSE126399 in Gene expression omnibus (GEO) database and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["survival_km"], "assets": ["source:pmid:38914980", "data:geo:GSE126399"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE126399"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T19:22:13Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 9998, "completion_tokens": 1376, "cached_tokens": 264}}, "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:38914980", "type": "paper", "label": "pmid:38914980"}, {"id": "source:pmid:38914980", "type": "manuscript", "label": "PMID 38914980 full text"}, {"id": "data:geo:GSE126399", "type": "dataset", "label": "GEO GSE126399"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:38914980", "type": "paper", "label": "pmid:38914980"}, {"id": "source:pmid:38914980", "type": "manuscript", "label": "PMID 38914980 full text"}, {"id": "data:geo:GSE126399", "type": "dataset", "label": "GEO GSE126399"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-38914980", "type": "extraction", "used": ["source:pmid:38914980"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE126399", "type": "accession_resolution", "used": ["data:geo:GSE126399"], "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:38914980", "parent_hash": "sha256:5525b4e0c57cd52f369536a617e12755b13b219cc9f07edf5db576caeeea63ca", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE126399 licence not read", "asset:data:geo:GSE126399 not downloaded", "execution.not_run", "method.reader_differs_from_extractor", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["survival_km"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Differentially expressed miRNAs in GC were screened using “limma” in R package [9]. Then, the results were visualized using ggplot2 in R package [10]. P < 0.05 and |log2 fold change (FC)| >0.5 were defined as thresholds for screening differentially expressed miRNAs."], "order_basis": "analysis_only", "id": "assay:1"}]}