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

pmid:36732869

M7G-related molecular subtypes can predict the prognosis and correlate with immunotherapy and chemotherapy responses in bladder cancer patients.

Deng-Xiong Li · De-Chao Feng · Xiao-Ming Wang · Rui-Cheng Wu · Wei-Zhen Zhu · Kai Chen · Ping Han

European journal of medical research · 2023 doi:10.1186/s40001-023-01012-x

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:36732869
kind
science-record
content_hash
sha256:55204b5bfe24ddf5991cd84e356635aac40772c17bc20afea73f67b7c66706cc
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T19:01:17Z
updated_at
2026-11-01T22:08:41Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
M7G-related molecular subtypes can predict the prognosis and correlate with immunotherapy and chemotherapy responses in bladder cancer patients.
doi
10.1186/s40001-023-01012-x
pmid
36732869
authors array · 7 items
[0]
Deng-Xiong Li
[1]
De-Chao Feng
[2]
Xiao-Ming Wang
[3]
Rui-Cheng Wu
[4]
Wei-Zhen Zhu
[5]
Kai Chen
[6]
Ping Han
journal
European journal of medical research
year
2023
abstract
BACKGROUND: N7-methylguanosine (m7G) is closely associated with tumor prognosis and immune response in many cancer types. The correlation between m7G and bladder cancer (BC) needs further study. We aimed to orchestrate molecular subtypes and identify key genes for BC from the perspective of m7G. METHODS: RNA-seq and clinical data of BC patients were extracted from TCGA and GSE13507 datasets. The patients were subtyped by "ConsensusClusterPlus" and "limma." The clusters were validated by the Kaplan‒Meier curves, univariable and multivariate Cox regression models, the concordance index, and calibration curves. The immunotherapy response was evaluated by immune checkpoints, immune infiltration, TIDE score, and IMvigor210 cohort. Genomics of Drug Sensitivity in Cancer was utilized to predict the chemotherapy response between the clusters. RESULTS: The m7G-related cluster was ultimately established by EIF4G1, NUDT11, NUDT10, and CCNB1. The independent prognostic value of the m7G-related cluster was validated by the TCGA and GSE13507 datasets. The cluster was involved in immune-associated pathways, such as neutrophil degranulation, antigen processing cross-presentation, and signaling by interleukins pathways. Meanwhile, cluster 2 was positively correlated with many immune checkpoints, such as CD274, CTLA4, HAVCR2, LAG3, PDCD1, and PDCD1LG2. The cluster 2 was significantly correlated with a higher TIDE score than the cluster 1. Furthermore, in the IMvigor210 cohort, patients in the cluster 1 had a higher response rate than those in the cluster 2. Patients in the cluster 2 were sensitive to many chemotherapies. CONCLUSIONS: We successfully determined molecular subtypes and identified key genes for BC from the perspective of m7G, thereby providing a roadmap for the evolution of immunotherapy and precision medicine.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
All 42 m7G-related genes were incorporated into the lasso regression model, which could apply penalties to these genes. The penalty parameter (λ) for the model was determined by tenfold cross-validation following the minimum criteria.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:36732869
locator
sections[3] "Microarray data and molecular subtypes" paragraph 3
quote
All 42 m7G-related genes were incorporated into the lasso regression model, which could apply penalties to these genes. The penalty parameter (λ) for the model was determined by tenfold cross-validation following the minimum criteria.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
All data from this study were downloaded from online databases. Therefore, everyone can get the data online. Further inquiries can be directed to the corresponding author.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:36732869
locator
sections[24] "notes" paragraph 1
quote
All data from this study were downloaded from online databases. Therefore, everyone can get the data online. Further inquiries can be directed to the corresponding author.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
The paper determined molecular subtypes and identified key genes for bladder cancer from the perspective of m7G.
kind
qualitative
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:36732869
locator
sections[0] "Abstract" paragraph 4
quote
We successfully determined molecular subtypes and identified key genes for BC from the perspective of m7G, thereby providing a roadmap for the evolution of immunotherapy and precision medicine.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
The paper determined molecular subtypes and identified key genes for bladder cancer from the perspective of m7G.
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:36732869
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:GSE13507
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:GSE13507
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:36732869
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1186/s40001-023-01012-x
sha256
sha256:39abff62b453ecb11a2e1f13559344f06ab12ad82c970fa9e0032c0b70c6da6a
bytes
30350
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1186/s40001-023-01012-x
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
PMC9893617
source
europe_pmc_fulltext
coverage
whole_body_without_references
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE13507
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=GSE13507
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE13507
version
null
note
All data from this study were downloaded from online databases. Therefore, everyone can get the data online. Further inquiries can be directed to the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
All data from this study were downloaded from online databases. Therefore, everyone can get the data online. Further inquiries can be directed to the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 256 items
[0]
GSM340537
[1]
GSM340538
[2]
GSM340539
[3]
GSM340540
[4]
GSM340541
[5]
GSM340542
[6]
GSM340543
[7]
GSM340544
[8]
GSM340545
[9]
GSM340546
[10]
GSM340547
[11]
GSM340548
[12]
GSM340549
[13]
GSM340550
[14]
GSM340551
[15]
GSM340552
[16]
GSM340553
[17]
GSM340554
[18]
GSM340555
[19]
GSM340556
[20]
GSM340557
[21]
GSM340558
[22]
GSM340559
[23]
GSM340560
[24]
GSM340561
[25]
GSM340562
[26]
GSM340563
[27]
GSM340564
[28]
GSM340565
[29]
GSM340566
[30]
GSM340567
[31]
GSM340568
[32]
GSM340569
[33]
GSM340570
[34]
GSM340571
[35]
GSM340572
[36]
GSM340573
[37]
GSM340574
[38]
GSM340575
[39]
GSM340576
[40]
GSM340577
[41]
GSM340578
[42]
GSM340579
[43]
GSM340580
[44]
GSM340581
[45]
GSM340582
[46]
GSM340583
[47]
GSM340584
[48]
GSM340585
[49]
GSM340586
[50]
GSM340587
[51]
GSM340588
[52]
GSM340589
[53]
GSM340590
[54]
GSM340591
[55]
GSM340592
[56]
GSM340593
[57]
GSM340594
[58]
GSM340595
[59]
GSM340596
[60]
GSM340597
[61]
GSM340598
[62]
GSM340599
[63]
GSM340600
[64]
GSM340601
[65]
GSM340602
[66]
GSM340603
[67]
GSM340604
[68]
GSM340605
[69]
GSM340606
[70]
GSM340607
[71]
GSM340608
[72]
GSM340609
[73]
GSM340610
[74]
GSM340611
[75]
GSM340612
[76]
GSM340613
[77]
GSM340614
[78]
GSM340615
[79]
GSM340616
[80]
GSM340617
[81]
GSM340618
[82]
GSM340619
[83]
GSM340620
[84]
GSM340621
[85]
GSM340622
[86]
GSM340623
[87]
GSM340624
[88]
GSM340625
[89]
GSM340626
[90]
GSM340627
[91]
GSM340628
[92]
GSM340629
[93]
GSM340630
[94]
GSM340631
[95]
GSM340632
[96]
GSM340633
[97]
GSM340634
[98]
GSM340635
[99]
GSM340636
[100]
GSM340637
[101]
GSM340638
[102]
GSM340639
[103]
GSM340640
[104]
GSM340641
[105]
GSM340642
[106]
GSM340643
[107]
GSM340644
[108]
GSM340645
[109]
GSM340646
[110]
GSM340647
[111]
GSM340648
[112]
GSM340649
[113]
GSM340650
[114]
GSM340651
[115]
GSM340652
[116]
GSM340653
[117]
GSM340654
[118]
GSM340655
[119]
GSM340656
[120]
GSM340657
[121]
GSM340658
[122]
GSM340659
[123]
GSM340660
[124]
GSM340661
[125]
GSM340662
[126]
GSM340663
[127]
GSM340664
[128]
GSM340665
[129]
GSM340666
[130]
GSM340667
[131]
GSM340668
[132]
GSM340669
[133]
GSM340670
[134]
GSM340671
[135]
GSM340672
[136]
GSM340673
[137]
GSM340674
[138]
GSM340675
[139]
GSM340676
[140]
GSM340677
[141]
GSM340678
[142]
GSM340679
[143]
GSM340680
[144]
GSM340681
[145]
GSM340682
[146]
GSM340683
[147]
GSM340684
[148]
GSM340685
[149]
GSM340686
[150]
GSM340687
[151]
GSM340688
[152]
GSM340689
[153]
GSM340690
[154]
GSM340691
[155]
GSM340692
[156]
GSM340693
[157]
GSM340694
[158]
GSM340695
[159]
GSM340696
[160]
GSM340697
[161]
GSM340698
[162]
GSM340699
[163]
GSM340700
[164]
GSM340701
[165]
GSM340702
[166]
GSM340703
[167]
GSM340704
[168]
GSM340705
[169]
GSM340706
[170]
GSM340707
[171]
GSM340708
[172]
GSM340709
[173]
GSM340710
[174]
GSM340711
[175]
GSM340712
[176]
GSM340713
[177]
GSM340714
[178]
GSM340715
[179]
GSM340716
[180]
GSM340717
[181]
GSM340718
[182]
GSM340719
[183]
GSM340720
[184]
GSM340721
[185]
GSM340722
[186]
GSM340723
[187]
GSM340724
[188]
GSM340725
[189]
GSM340726
[190]
GSM340727
[191]
GSM340728
[192]
GSM340729
[193]
GSM340730
[194]
GSM340731
[195]
GSM340732
[196]
GSM340733
[197]
GSM340734
[198]
GSM340735
[199]
GSM340736
[200]
GSM340737
[201]
GSM340738
[202]
GSM340739
[203]
GSM340740
[204]
GSM340741
[205]
GSM340742
[206]
GSM340743
[207]
GSM340744
[208]
GSM340745
[209]
GSM340746
[210]
GSM340747
[211]
GSM340748
[212]
GSM340749
[213]
GSM340750
[214]
GSM340751
[215]
GSM340752
[216]
GSM340753
[217]
GSM340754
[218]
GSM340755
[219]
GSM340756
[220]
GSM340757
[221]
GSM340758
[222]
GSM340759
[223]
GSM340760
[224]
GSM340761
[225]
GSM340762
[226]
GSM340763
[227]
GSM340764
[228]
GSM340765
[229]
GSM340766
[230]
GSM340767
[231]
GSM340768
[232]
GSM340769
[233]
GSM340770
[234]
GSM340771
[235]
GSM340772
[236]
GSM340773
[237]
GSM340774
[238]
GSM340775
[239]
GSM340776
[240]
GSM340777
[241]
GSM340778
[242]
GSM340779
[243]
GSM340780
[244]
GSM340781
[245]
GSM340782
[246]
GSM340783
[247]
GSM340784
[248]
GSM340785
[249]
GSM340786
[250]
GSM340787
[251]
GSM340788
[252]
GSM340789
[253]
GSM340790
[254]
GSM340791
[255]
GSM340792
sample_count
256
group_sizes
null
group_sizes_basis
null
platform
6102
taxon
Homo sapiens
title
Predective Value of Prognosis-Related Gene Expression Study in Primary Bladder Cancer
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 2 items
[0]
asset:data:geo:GSE13507 not downloaded
[1]
asset:data:geo:GSE13507 licence not read
analysis object · 4 fields
state
partial
methods array · 4 items
[0] object · 10 fields
id
method-1
family
group_comparison
specific
anova
label
Group comparison
dsl_operations array · 4 items
[0]
group_summary
[1]
welch_t
[2]
bootstrap_mean_difference
[3]
group_comparison_anova
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
ANOVA
[1] object · 10 fields
id
method-2
family
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
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
0.7
band
medium
quote
limma
[3] object · 10 fields
id
method-4
family
null
specific
null
label
Lasso regression model with tenfold cross-validation
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
All 42 m7G-related genes were incorporated into the lasso regression model, which could apply penalties to these genes. The penalty parameter (λ) for the model was determined by tenfold cross-validation following the minimum criteria.
targets array · 0 items
gaps array · 1 item
[0]
method.reader_named_unmapped
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 4 items
[0]
group_summary
[1]
welch_t
[2]
bootstrap_mean_difference
[3]
group_comparison_anova
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: anova.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 1 item
[0]
GSE13507
resolved_accessions array · 1 item
[0]
GSE13507
statements array · 1 item
[0]
All data from this study were downloaded from online databases. Therefore, everyone can get the data online. Further inquiries can be directed to the corresponding author.
basis
The paper names GSE13507 in GSE13507 and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 4 items
[0]
group_summary
[1]
welch_t
[2]
bootstrap_mean_difference
[3]
group_comparison_anova
assets array · 2 items
[0]
source:pmid:36732869
[1]
data:geo:GSE13507
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:GSE13507
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
2026-11-01T18:25:33Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
9304
completion_tokens
1951
cached_tokens
256
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:36732869
type
paper
label
pmid:36732869
[1] object · 3 fields
id
source:pmid:36732869
type
manuscript
label
PMID 36732869 full text
[2] object · 3 fields
id
data:geo:GSE13507
type
dataset
label
GEO GSE13507
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:36732869
type
paper
label
pmid:36732869
[1] object · 3 fields
id
source:pmid:36732869
type
manuscript
label
PMID 36732869 full text
[2] object · 3 fields
id
data:geo:GSE13507
type
dataset
label
GEO GSE13507
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-36732869
type
extraction
used array · 1 item
[0]
source:pmid:36732869
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE13507
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE13507
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:36732869
parent_hash
sha256:b5e551f984cd8ce529c597de170f6d4154818b48c8501b6f633c28952a14dfd2
fork_of
null
gaps array · 7 items
[0]
asset:data:geo:GSE13507 licence not read
[1]
asset:data:geo:GSE13507 not downloaded
[2]
execution.not_run
[3]
method.reader_named_unmapped
[4]
review.human_critique
[5]
review.independent_reader
[6]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_id
rna_seq
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]
for BC from the perspective of m7G. METHODS: RNA-seq and clinical data of BC patients were extrac
order_basis
paper_text_order:406
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
group_comparison
definition_version
f2132e96ae6c7a4e
required_operations array · 4 items
[0]
group_summary
[1]
welch_t
[2]
bootstrap_mean_difference
[3]
group_comparison_anova
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
ANOVA
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:36732869", "kind": "science-record", "revision": 3, "content_hash": "sha256:55204b5bfe24ddf5991cd84e356635aac40772c17bc20afea73f67b7c66706cc", "created_at": "2026-11-01T19:01:17Z", "updated_at": "2026-11-01T22:08:41Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "M7G-related molecular subtypes can predict the prognosis and correlate with immunotherapy and chemotherapy responses in bladder cancer patients.", "doi": "10.1186/s40001-023-01012-x", "pmid": "36732869", "authors": ["Deng-Xiong Li", "De-Chao Feng", "Xiao-Ming Wang", "Rui-Cheng Wu", "Wei-Zhen Zhu", "Kai Chen", "Ping Han"], "journal": "European journal of medical research", "year": 2023, "abstract": "BACKGROUND: N7-methylguanosine (m7G) is closely associated with tumor prognosis and immune response in many cancer types. The correlation between m7G and bladder cancer (BC) needs further study. We aimed to orchestrate molecular subtypes and identify key genes for BC from the perspective of m7G.\nMETHODS: RNA-seq and clinical data of BC patients were extracted from TCGA and GSE13507 datasets. The patients were subtyped by \"ConsensusClusterPlus\" and \"limma.\" The clusters were validated by the Kaplan‒Meier curves, univariable and multivariate Cox regression models, the concordance index, and calibration curves. The immunotherapy response was evaluated by immune checkpoints, immune infiltration, TIDE score, and IMvigor210 cohort. Genomics of Drug Sensitivity in Cancer was utilized to predict the chemotherapy response between the clusters.\nRESULTS: The m7G-related cluster was ultimately established by EIF4G1, NUDT11, NUDT10, and CCNB1. The independent prognostic value of the m7G-related cluster was validated by the TCGA and GSE13507 datasets. The cluster was involved in immune-associated pathways, such as neutrophil degranulation, antigen processing cross-presentation, and signaling by interleukins pathways. Meanwhile, cluster 2 was positively correlated with many immune checkpoints, such as CD274, CTLA4, HAVCR2, LAG3, PDCD1, and PDCD1LG2. The cluster 2 was significantly correlated with a higher TIDE score than the cluster 1. Furthermore, in the IMvigor210 cohort, patients in the cluster 1 had a higher response rate than those in the cluster 2. Patients in the cluster 2 were sensitive to many chemotherapies.\nCONCLUSIONS: We successfully determined molecular subtypes and identified key genes for BC from the perspective of m7G, thereby providing a roadmap for the evolution of immunotherapy and precision medicine.", "claims": [{"id": "claim-method", "statement": "All 42 m7G-related genes were incorporated into the lasso regression model, which could apply penalties to these genes. The penalty parameter (λ) for the model was determined by tenfold cross-validation following the minimum criteria.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36732869", "locator": "sections[3] \"Microarray data and molecular subtypes\" paragraph 3", "quote": "All 42 m7G-related genes were incorporated into the lasso regression model, which could apply penalties to these genes. The penalty parameter (λ) for the model was determined by tenfold cross-validation following the minimum criteria."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data from this study were downloaded from online databases. Therefore, everyone can get the data online. Further inquiries can be directed to the corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36732869", "locator": "sections[24] \"notes\" paragraph 1", "quote": "All data from this study were downloaded from online databases. Therefore, everyone can get the data online. Further inquiries can be directed to the corresponding author."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The paper determined molecular subtypes and identified key genes for bladder cancer from the perspective of m7G.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36732869", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "We successfully determined molecular subtypes and identified key genes for BC from the perspective of m7G, thereby providing a roadmap for the evolution of immunotherapy and precision medicine."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The paper determined molecular subtypes and identified key genes for bladder cancer from the perspective of m7G.", "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:36732869"], "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:GSE13507"], "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:GSE13507"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:36732869", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1186/s40001-023-01012-x", "sha256": "sha256:39abff62b453ecb11a2e1f13559344f06ab12ad82c970fa9e0032c0b70c6da6a", "bytes": 30350, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1186/s40001-023-01012-x", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC9893617", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE13507", "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=GSE13507", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE13507", "version": null, "note": "All data from this study were downloaded from online databases. Therefore, everyone can get the data online. Further inquiries can be directed to the corresponding author.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "All data from this study were downloaded from online databases. Therefore, everyone can get the data online. Further inquiries can be directed to the corresponding author.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM340537", "GSM340538", "GSM340539", "GSM340540", "GSM340541", "GSM340542", "GSM340543", "GSM340544", "GSM340545", "GSM340546", "GSM340547", "GSM340548", "GSM340549", "GSM340550", "GSM340551", "GSM340552", "GSM340553", "GSM340554", "GSM340555", "GSM340556", "GSM340557", "GSM340558", "GSM340559", "GSM340560", "GSM340561", "GSM340562", "GSM340563", "GSM340564", "GSM340565", "GSM340566", "GSM340567", "GSM340568", "GSM340569", "GSM340570", "GSM340571", "GSM340572", "GSM340573", "GSM340574", "GSM340575", "GSM340576", "GSM340577", "GSM340578", "GSM340579", "GSM340580", "GSM340581", "GSM340582", "GSM340583", "GSM340584", "GSM340585", "GSM340586", "GSM340587", "GSM340588", "GSM340589", "GSM340590", "GSM340591", "GSM340592", "GSM340593", "GSM340594", "GSM340595", "GSM340596", "GSM340597", "GSM340598", "GSM340599", "GSM340600", "GSM340601", "GSM340602", "GSM340603", "GSM340604", "GSM340605", "GSM340606", "GSM340607", "GSM340608", "GSM340609", "GSM340610", "GSM340611", "GSM340612", "GSM340613", "GSM340614", "GSM340615", "GSM340616", "GSM340617", "GSM340618", "GSM340619", "GSM340620", "GSM340621", "GSM340622", "GSM340623", "GSM340624", "GSM340625", "GSM340626", "GSM340627", "GSM340628", "GSM340629", "GSM340630", "GSM340631", "GSM340632", "GSM340633", "GSM340634", "GSM340635", "GSM340636", "GSM340637", "GSM340638", "GSM340639", "GSM340640", "GSM340641", "GSM340642", "GSM340643", "GSM340644", "GSM340645", "GSM340646", "GSM340647", "GSM340648", "GSM340649", "GSM340650", "GSM340651", "GSM340652", "GSM340653", "GSM340654", "GSM340655", "GSM340656", "GSM340657", "GSM340658", "GSM340659", "GSM340660", "GSM340661", "GSM340662", "GSM340663", "GSM340664", "GSM340665", "GSM340666", "GSM340667", "GSM340668", "GSM340669", "GSM340670", "GSM340671", "GSM340672", "GSM340673", "GSM340674", "GSM340675", "GSM340676", "GSM340677", "GSM340678", "GSM340679", "GSM340680", "GSM340681", "GSM340682", "GSM340683", "GSM340684", "GSM340685", "GSM340686", "GSM340687", "GSM340688", "GSM340689", "GSM340690", "GSM340691", "GSM340692", "GSM340693", "GSM340694", "GSM340695", "GSM340696", "GSM340697", "GSM340698", "GSM340699", "GSM340700", "GSM340701", "GSM340702", "GSM340703", "GSM340704", "GSM340705", "GSM340706", "GSM340707", "GSM340708", "GSM340709", "GSM340710", "GSM340711", "GSM340712", "GSM340713", "GSM340714", "GSM340715", "GSM340716", "GSM340717", "GSM340718", "GSM340719", "GSM340720", "GSM340721", "GSM340722", "GSM340723", "GSM340724", "GSM340725", "GSM340726", "GSM340727", "GSM340728", "GSM340729", "GSM340730", "GSM340731", "GSM340732", "GSM340733", "GSM340734", "GSM340735", "GSM340736", "GSM340737", "GSM340738", "GSM340739", "GSM340740", "GSM340741", "GSM340742", "GSM340743", "GSM340744", "GSM340745", "GSM340746", "GSM340747", "GSM340748", "GSM340749", "GSM340750", "GSM340751", "GSM340752", "GSM340753", "GSM340754", "GSM340755", "GSM340756", "GSM340757", "GSM340758", "GSM340759", "GSM340760", "GSM340761", "GSM340762", "GSM340763", "GSM340764", "GSM340765", "GSM340766", "GSM340767", "GSM340768", "GSM340769", "GSM340770", "GSM340771", "GSM340772", "GSM340773", "GSM340774", "GSM340775", "GSM340776", "GSM340777", "GSM340778", "GSM340779", "GSM340780", "GSM340781", "GSM340782", "GSM340783", "GSM340784", "GSM340785", "GSM340786", "GSM340787", "GSM340788", "GSM340789", "GSM340790", "GSM340791", "GSM340792"], "sample_count": 256, "group_sizes": null, "group_sizes_basis": null, "platform": "6102", "taxon": "Homo sapiens", "title": "Predective Value of Prognosis-Related Gene Expression Study in Primary Bladder Cancer", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE13507 not downloaded", "asset:data:geo:GSE13507 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "group_comparison", "specific": "anova", "label": "Group comparison", "dsl_operations": ["group_summary", "welch_t", "bootstrap_mean_difference", "group_comparison_anova"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "ANOVA"}}, {"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": "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": 0.7, "band": "medium", "quote": "limma"}}, {"id": "method-4", "family": null, "specific": null, "label": "Lasso regression model with tenfold cross-validation", "dsl_operations": [], "missing_operations": [], "expressible": null, "parameters": {}, "data_shapes": [], "evidence": {"score": 1.0, "band": "verbatim", "quote": "All 42 m7G-related genes were incorporated into the lasso regression model, which could apply penalties to these genes. The penalty parameter (λ) for the model was determined by tenfold cross-validation following the minimum criteria."}}], "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": ["group_summary", "welch_t", "bootstrap_mean_difference", "group_comparison_anova"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: anova."}, "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": ["GSE13507"], "resolved_accessions": ["GSE13507"], "statements": ["All data from this study were downloaded from online databases. Therefore, everyone can get the data online. Further inquiries can be directed to the corresponding author."], "basis": "The paper names GSE13507 in GSE13507 and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["group_summary", "welch_t", "bootstrap_mean_difference", "group_comparison_anova"], "assets": ["source:pmid:36732869", "data:geo:GSE13507"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE13507"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T18:25:33Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 9304, "completion_tokens": 1951, "cached_tokens": 256}}, "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:36732869", "type": "paper", "label": "pmid:36732869"}, {"id": "source:pmid:36732869", "type": "manuscript", "label": "PMID 36732869 full text"}, {"id": "data:geo:GSE13507", "type": "dataset", "label": "GEO GSE13507"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:36732869", "type": "paper", "label": "pmid:36732869"}, {"id": "source:pmid:36732869", "type": "manuscript", "label": "PMID 36732869 full text"}, {"id": "data:geo:GSE13507", "type": "dataset", "label": "GEO GSE13507"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-36732869", "type": "extraction", "used": ["source:pmid:36732869"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE13507", "type": "accession_resolution", "used": ["data:geo:GSE13507"], "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:36732869", "parent_hash": "sha256:b5e551f984cd8ce529c597de170f6d4154818b48c8501b6f633c28952a14dfd2", "fork_of": null, "generation": 2}, "gaps": ["asset:data:geo:GSE13507 licence not read", "asset:data:geo:GSE13507 not downloaded", "execution.not_run", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "rna_seq", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["for BC from the perspective of m7G. METHODS: RNA-seq and clinical data of BC patients were extrac"], "order_basis": "paper_text_order:406", "id": "assay:1"}, {"role": "analysis", "definition_id": "group_comparison", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["group_summary", "welch_t", "bootstrap_mean_difference", "group_comparison_anova"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 0.8, "evidence": ["ANOVA"], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}