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

pmid:33584787

Effect of N6-Methyladenosine Regulators on Progression and Prognosis of Triple-Negative Breast Cancer.

Shanshan Wang · Xuan Zou · Yajie Chen · William C Cho · Xiang Zhou

Frontiers in genetics · 2020 doi:10.3389/fgene.2020.580036

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:33584787
kind
science-record
content_hash
sha256:dece2ce88633f69d253ae89c1d692038a08e0d3d3fd4be67c7e1703612d4f71e
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:41:25Z
updated_at
2026-11-01T22:03:07Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Effect of N6-Methyladenosine Regulators on Progression and Prognosis of Triple-Negative Breast Cancer.
doi
10.3389/fgene.2020.580036
pmid
33584787
authors array · 5 items
[0]
Shanshan Wang
[1]
Xuan Zou
[2]
Yajie Chen
[3]
William C Cho
[4]
Xiang Zhou
journal
Frontiers in genetics
year
2020
abstract
Background: The N6-methyladenosine (m6A) modification plays a critical role in cancer development. Little is known about the m6A modification in triple-negative breast cancer (TNBC), the most aggressive subtype of breast cancer. Thus, the prognostic value of m6A RNA methylation in TNBC deserves exploration. Methods: The expression levels of the 13 m6A methylation regulators were compared between the 98 TNBC tumor samples and normal tissue samples based on the transcriptome profiles from The Cancer Genome Atlas (TCGA). The association between the m6A regulators and patients' overall survival was assessed by Kaplan-Meier survival analysis and Cox regression analysis. Lasso regression analysis was conducted to construct a prognostic model based on the m6A methylation system. The prognostic performance of the identified model was validated in GSE88847 and GSE135565 datasets. A nomogram combining the TNM stage and the m6A prognostic model was further constructed for the survival prediction of TNBC patients. Results: The m6A regulator genes were remarkably dysregulated in TNBC tumor tissues, with ALKBH5, YTHDF2, HNRNPC, KIAA1429, and RBM15 significantly up-regulated and FTO, YTHDC1, YTHDC2, METTL3, METTL14, and ZC3H13 significantly down-regulated (P < 0.01). The expression level of ALKBH5 was an independent unfavorable prognostic factor (HR = 3.327, P = 0.006), while METTL14 (HR = 0.425, P = 0.009) was an independent favorable prognostic factor for TNBC patients. A prognostic model consisting of ALKBH5 and METTL14 was therefore proposed displaying higher accuracy of risk prediction when combined with TNM stage with an AUC of 0.791. The prognostic value of the identified signature remained consistent within the two external validation datasets. Conclusion: The m6A methylation regulators were significantly dysregulated in TNBC tissues and could constitute a novel prognostic signature for the survival prediction of TNBC patients.
claims array · 2 items
[0] object · 6 fields
id
claim-method
statement
Lasso (least absolute shrinkage and selection) regression analysis using the glmnet (Friedman et al., 2010) and caret packages (https://CRAN.R-project.org/package=caret) was performed for variable selection.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:33584787
locator
sections[4] "Construction of the Prognostic Model" paragraph 2
quote
Lasso (least absolute shrinkage and selection) regression analysis using the glmnet (Friedman et al., 2010) and caret packages (https://CRAN.R-project.org/package=caret) was performed for variable selection.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:33584787
locator
sections[18] "Data Availability Statement" paragraph 2
quote
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
null
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:33584787
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:GSE135565
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:GSE135565
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 · 3 items
[0] object · 15 fields
id
source:pmid:33584787
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.3389/fgene.2020.580036
sha256
sha256:31c85a5774cffbb4d8a1b63171004db81356e88d9c367788505d5ccd0cbc11d8
bytes
26826
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.3389/fgene.2020.580036
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
PMC7877483
source
europe_pmc_fulltext
coverage
whole_body_without_references
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE135565
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=GSE135565
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE135565
version
null
note
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article.
access_statement_kind
data_availability_statement
sample_accessions array · 84 items
[0]
GSM4017200
[1]
GSM4017201
[2]
GSM4017202
[3]
GSM4017203
[4]
GSM4017204
[5]
GSM4017205
[6]
GSM4017206
[7]
GSM4017207
[8]
GSM4017208
[9]
GSM4017209
[10]
GSM4017210
[11]
GSM4017211
[12]
GSM4017212
[13]
GSM4017213
[14]
GSM4017214
[15]
GSM4017215
[16]
GSM4017216
[17]
GSM4017217
[18]
GSM4017218
[19]
GSM4017219
[20]
GSM4017220
[21]
GSM4017221
[22]
GSM4017222
[23]
GSM4017223
[24]
GSM4017224
[25]
GSM4017225
[26]
GSM4017226
[27]
GSM4017227
[28]
GSM4017228
[29]
GSM4017229
[30]
GSM4017230
[31]
GSM4017231
[32]
GSM4017232
[33]
GSM4017233
[34]
GSM4017234
[35]
GSM4017235
[36]
GSM4017236
[37]
GSM4017237
[38]
GSM4017238
[39]
GSM4017239
[40]
GSM4017240
[41]
GSM4017241
[42]
GSM4017242
[43]
GSM4017243
[44]
GSM4017244
[45]
GSM4017245
[46]
GSM4017246
[47]
GSM4017247
[48]
GSM4017248
[49]
GSM4017249
[50]
GSM4017250
[51]
GSM4017251
[52]
GSM4017252
[53]
GSM4017253
[54]
GSM4017254
[55]
GSM4017255
[56]
GSM4017256
[57]
GSM4017257
[58]
GSM4017258
[59]
GSM4017259
[60]
GSM4017260
[61]
GSM4017261
[62]
GSM4017262
[63]
GSM4017263
[64]
GSM4017264
[65]
GSM4017265
[66]
GSM4017266
[67]
GSM4017267
[68]
GSM4017268
[69]
GSM4017269
[70]
GSM4017270
[71]
GSM4017271
[72]
GSM4017272
[73]
GSM4017273
[74]
GSM4017274
[75]
GSM4017275
[76]
GSM4017276
[77]
GSM4017277
[78]
GSM4017278
[79]
GSM4017279
[80]
GSM4017280
[81]
GSM4017281
[82]
GSM4017282
[83]
GSM4017283
sample_count
84
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Gene expression profiles of the standardized uptake value in 18F-fluorodeoxyglucose positron emission tomography in tripple negative breast cancer
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 15 fields
id
data:geo:GSE88847
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=GSE88847
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE88847
version
null
note
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article.
access_statement_kind
data_availability_statement
sample_accessions array · 37 items
[0]
GSM2350029
[1]
GSM2350030
[2]
GSM2350031
[3]
GSM2350032
[4]
GSM2350033
[5]
GSM2350034
[6]
GSM2350035
[7]
GSM2350036
[8]
GSM2350037
[9]
GSM2350038
[10]
GSM2350039
[11]
GSM2350040
[12]
GSM2350041
[13]
GSM2350042
[14]
GSM2350043
[15]
GSM2350044
[16]
GSM2350045
[17]
GSM2350046
[18]
GSM2350047
[19]
GSM2350048
[20]
GSM2350049
[21]
GSM2350050
[22]
GSM2350051
[23]
GSM2350052
[24]
GSM2350053
[25]
GSM2350054
[26]
GSM2350055
[27]
GSM2350056
[28]
GSM2350057
[29]
GSM2350058
[30]
GSM2350059
[31]
GSM2350060
[32]
GSM2350061
[33]
GSM2350062
[34]
GSM2350063
[35]
GSM2350064
[36]
GSM2350065
sample_count
37
group_sizes
null
group_sizes_basis
null
platform
20171
taxon
Homo sapiens
title
Gene expression profiles of TN breast tumors
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 · 4 items
[0]
asset:data:geo:GSE135565 not downloaded
[1]
asset:data:geo:GSE135565 licence not read
[2]
asset:data:geo:GSE88847 not downloaded
[3]
asset:data:geo:GSE88847 licence not read
analysis object · 4 fields
state
partial
methods array · 5 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
0.7
band
medium
quote
Kaplan-Meier
[1] object · 10 fields
id
method-2
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
0.7
band
medium
quote
Cox regression
[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
[3] object · 10 fields
id
method-4
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
[4] object · 10 fields
id
method-5
family
null
specific
null
label
Lasso regression analysis
dsl_operations array · 0 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 0 items
evidence object · 3 fields
score
1
band
verbatim
quote
Lasso (least absolute shrinkage and selection) regression analysis using the glmnet (Friedman et al., 2010) and caret packages (https://CRAN.R-project.org/package=caret) was performed for variable selection.
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 · 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 · 2 items
[0]
GSE88847
[1]
GSE135565
resolved_accessions array · 2 items
[0]
GSE88847
[1]
GSE135565
statements array · 1 item
[0]
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article.
basis
The paper names GSE88847, GSE135565 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:33584787
[1]
data:geo:GSE135565
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:GSE135565
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
2026-10-31T18:26:59Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
20530
completion_tokens
1901
cached_tokens
792
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:33584787
type
paper
label
pmid:33584787
[1] object · 3 fields
id
source:pmid:33584787
type
manuscript
label
PMID 33584787 full text
[2] object · 3 fields
id
data:geo:GSE135565
type
dataset
label
GEO GSE135565
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:33584787
type
paper
label
pmid:33584787
[1] object · 3 fields
id
source:pmid:33584787
type
manuscript
label
PMID 33584787 full text
[2] object · 3 fields
id
data:geo:GSE135565
type
dataset
label
GEO GSE135565
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-33584787
type
extraction
used array · 1 item
[0]
source:pmid:33584787
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE135565
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE135565
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:33584787
parent_hash
sha256:08bd535f75f74b1769d7ab0c4288991ba071e085b409d2f85c207d6c29d85637
fork_of
null
gaps array · 9 items
[0]
asset:data:geo:GSE135565 licence not read
[1]
asset:data:geo:GSE135565 not downloaded
[2]
asset:data:geo:GSE88847 licence not read
[3]
asset:data:geo:GSE88847 not downloaded
[4]
execution.not_run
[5]
method.reader_named_unmapped
[6]
review.human_critique
[7]
review.independent_reader
[8]
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
0.93
evidence array · 1 item
[0]
tchie et al., 2015). The TNBC samples of two microarray datasets of gene expression profiling—GSE888
order_basis
paper_text_order:2819
id
assay:1
[1] 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]
Kaplan-Meier
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:33584787", "kind": "science-record", "revision": 7, "content_hash": "sha256:dece2ce88633f69d253ae89c1d692038a08e0d3d3fd4be67c7e1703612d4f71e", "created_at": "2026-11-01T15:41:25Z", "updated_at": "2026-11-01T22:03:07Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Effect of N6-Methyladenosine Regulators on Progression and Prognosis of Triple-Negative Breast Cancer.", "doi": "10.3389/fgene.2020.580036", "pmid": "33584787", "authors": ["Shanshan Wang", "Xuan Zou", "Yajie Chen", "William C Cho", "Xiang Zhou"], "journal": "Frontiers in genetics", "year": 2020, "abstract": "Background: The N6-methyladenosine (m6A) modification plays a critical role in cancer development. Little is known about the m6A modification in triple-negative breast cancer (TNBC), the most aggressive subtype of breast cancer. Thus, the prognostic value of m6A RNA methylation in TNBC deserves exploration. Methods: The expression levels of the 13 m6A methylation regulators were compared between the 98 TNBC tumor samples and normal tissue samples based on the transcriptome profiles from The Cancer Genome Atlas (TCGA). The association between the m6A regulators and patients' overall survival was assessed by Kaplan-Meier survival analysis and Cox regression analysis. Lasso regression analysis was conducted to construct a prognostic model based on the m6A methylation system. The prognostic performance of the identified model was validated in GSE88847 and GSE135565 datasets. A nomogram combining the TNM stage and the m6A prognostic model was further constructed for the survival prediction of TNBC patients. Results: The m6A regulator genes were remarkably dysregulated in TNBC tumor tissues, with ALKBH5, YTHDF2, HNRNPC, KIAA1429, and RBM15 significantly up-regulated and FTO, YTHDC1, YTHDC2, METTL3, METTL14, and ZC3H13 significantly down-regulated (P < 0.01). The expression level of ALKBH5 was an independent unfavorable prognostic factor (HR = 3.327, P = 0.006), while METTL14 (HR = 0.425, P = 0.009) was an independent favorable prognostic factor for TNBC patients. A prognostic model consisting of ALKBH5 and METTL14 was therefore proposed displaying higher accuracy of risk prediction when combined with TNM stage with an AUC of 0.791. The prognostic value of the identified signature remained consistent within the two external validation datasets. Conclusion: The m6A methylation regulators were significantly dysregulated in TNBC tissues and could constitute a novel prognostic signature for the survival prediction of TNBC patients.", "claims": [{"id": "claim-method", "statement": "Lasso (least absolute shrinkage and selection) regression analysis using the glmnet (Friedman et al., 2010) and caret packages (https://CRAN.R-project.org/package=caret) was performed for variable selection.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33584787", "locator": "sections[4] \"Construction of the Prognostic Model\" paragraph 2", "quote": "Lasso (least absolute shrinkage and selection) regression analysis using the glmnet (Friedman et al., 2010) and caret packages (https://CRAN.R-project.org/package=caret) was performed for variable selection."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33584787", "locator": "sections[18] \"Data Availability Statement\" paragraph 2", "quote": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article."}], "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:33584787"], "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:GSE135565"], "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:GSE135565"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:33584787", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fgene.2020.580036", "sha256": "sha256:31c85a5774cffbb4d8a1b63171004db81356e88d9c367788505d5ccd0cbc11d8", "bytes": 26826, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fgene.2020.580036", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7877483", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE135565", "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=GSE135565", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE135565", "version": null, "note": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM4017200", "GSM4017201", "GSM4017202", "GSM4017203", "GSM4017204", "GSM4017205", "GSM4017206", "GSM4017207", "GSM4017208", "GSM4017209", "GSM4017210", "GSM4017211", "GSM4017212", "GSM4017213", "GSM4017214", "GSM4017215", "GSM4017216", "GSM4017217", "GSM4017218", "GSM4017219", "GSM4017220", "GSM4017221", "GSM4017222", "GSM4017223", "GSM4017224", "GSM4017225", "GSM4017226", "GSM4017227", "GSM4017228", "GSM4017229", "GSM4017230", "GSM4017231", "GSM4017232", "GSM4017233", "GSM4017234", "GSM4017235", "GSM4017236", "GSM4017237", "GSM4017238", "GSM4017239", "GSM4017240", "GSM4017241", "GSM4017242", "GSM4017243", "GSM4017244", "GSM4017245", "GSM4017246", "GSM4017247", "GSM4017248", "GSM4017249", "GSM4017250", "GSM4017251", "GSM4017252", "GSM4017253", "GSM4017254", "GSM4017255", "GSM4017256", "GSM4017257", "GSM4017258", "GSM4017259", "GSM4017260", "GSM4017261", "GSM4017262", "GSM4017263", "GSM4017264", "GSM4017265", "GSM4017266", "GSM4017267", "GSM4017268", "GSM4017269", "GSM4017270", "GSM4017271", "GSM4017272", "GSM4017273", "GSM4017274", "GSM4017275", "GSM4017276", "GSM4017277", "GSM4017278", "GSM4017279", "GSM4017280", "GSM4017281", "GSM4017282", "GSM4017283"], "sample_count": 84, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Gene expression profiles of the standardized uptake value in 18F-fluorodeoxyglucose positron emission tomography in tripple negative breast cancer", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE88847", "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=GSE88847", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE88847", "version": null, "note": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM2350029", "GSM2350030", "GSM2350031", "GSM2350032", "GSM2350033", "GSM2350034", "GSM2350035", "GSM2350036", "GSM2350037", "GSM2350038", "GSM2350039", "GSM2350040", "GSM2350041", "GSM2350042", "GSM2350043", "GSM2350044", "GSM2350045", "GSM2350046", "GSM2350047", "GSM2350048", "GSM2350049", "GSM2350050", "GSM2350051", "GSM2350052", "GSM2350053", "GSM2350054", "GSM2350055", "GSM2350056", "GSM2350057", "GSM2350058", "GSM2350059", "GSM2350060", "GSM2350061", "GSM2350062", "GSM2350063", "GSM2350064", "GSM2350065"], "sample_count": 37, "group_sizes": null, "group_sizes_basis": null, "platform": "20171", "taxon": "Homo sapiens", "title": "Gene expression profiles of TN breast tumors", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE135565 not downloaded", "asset:data:geo:GSE135565 licence not read", "asset:data:geo:GSE88847 not downloaded", "asset:data:geo:GSE88847 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": 0.7, "band": "medium", "quote": "Kaplan-Meier"}}, {"id": "method-2", "family": "survival_analysis", "specific": "cox_proportional_hazards", "label": "Survival analysis", "dsl_operations": ["cox_ph"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.7, "band": "medium", "quote": "Cox regression"}}, {"id": "method-3", "family": "survival_analysis", "specific": "log_rank_test", "label": "Survival analysis", "dsl_operations": ["logrank_test"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.8, "band": "high", "quote": "log-rank"}}, {"id": "method-4", "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-5", "family": null, "specific": null, "label": "Lasso regression analysis", "dsl_operations": [], "missing_operations": [], "expressible": null, "parameters": {}, "data_shapes": [], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Lasso (least absolute shrinkage and selection) regression analysis using the glmnet (Friedman et al., 2010) and caret packages (https://CRAN.R-project.org/package=caret) was performed for variable selection."}}], "targets": [], "gaps": ["method.reader_named_unmapped"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "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": ["GSE88847", "GSE135565"], "resolved_accessions": ["GSE88847", "GSE135565"], "statements": ["The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article."], "basis": "The paper names GSE88847, GSE135565 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["survival_km"], "assets": ["source:pmid:33584787", "data:geo:GSE135565"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE135565"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:26:59Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 3, "usage": {"prompt_tokens": 20530, "completion_tokens": 1901, "cached_tokens": 792}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:33584787", "type": "paper", "label": "pmid:33584787"}, {"id": "source:pmid:33584787", "type": "manuscript", "label": "PMID 33584787 full text"}, {"id": "data:geo:GSE135565", "type": "dataset", "label": "GEO GSE135565"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:33584787", "type": "paper", "label": "pmid:33584787"}, {"id": "source:pmid:33584787", "type": "manuscript", "label": "PMID 33584787 full text"}, {"id": "data:geo:GSE135565", "type": "dataset", "label": "GEO GSE135565"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-33584787", "type": "extraction", "used": ["source:pmid:33584787"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE135565", "type": "accession_resolution", "used": ["data:geo:GSE135565"], "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:33584787", "parent_hash": "sha256:08bd535f75f74b1769d7ab0c4288991ba071e085b409d2f85c207d6c29d85637", "fork_of": null, "generation": 6}, "gaps": ["asset:data:geo:GSE135565 licence not read", "asset:data:geo:GSE135565 not downloaded", "asset:data:geo:GSE88847 licence not read", "asset:data:geo:GSE88847 not downloaded", "execution.not_run", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "microarray", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["tchie et al., 2015). The TNBC samples of two microarray datasets of gene expression profiling—GSE888"], "order_basis": "paper_text_order:2819", "id": "assay:1"}, {"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": 0.7, "evidence": ["Kaplan-Meier"], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}