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pmid:31239775

Identification of hub genes and key pathways associated with angioimmunoblastic T-cell lymphoma using weighted gene co-expression network analysis.

Xiaoqian Li · Zijian Liu · Mi Mi · Caijiao Zhang · Yin Xiao · Xinxiu Liu · Gang Wu · Liling Zhang

Cancer management and research · 2019 doi:10.2147/CMAR.S185030

Paper

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Experiment

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Data

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title
Identification of hub genes and key pathways associated with angioimmunoblastic T-cell lymphoma using weighted gene co-expression network analysis.
doi
10.2147/CMAR.S185030
pmid
31239775
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[0]
Xiaoqian Li
[1]
Zijian Liu
[2]
Mi Mi
[3]
Caijiao Zhang
[4]
Yin Xiao
[5]
Xinxiu Liu
[6]
Gang Wu
[7]
Liling Zhang
journal
Cancer management and research
year
2019
abstract
Background: Angioimmunoblastic T-cell lymphoma (AITL) is an aggressive subtype of peripheral T-cell lymphoma (PTCL) that has a poor 5-year overall survival rate due to its lack of precise therapeutic targets. Identifying potential prognostic markers of AITL may provide information regarding the development of precision medicine. Methods: RNA sequence data from PTCL and patient clinic traits were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed gene (DEG) analysis and weighted gene co-expression network analysis (WGCNA) were performed to identify DEGs between the different PTCL subtypes and investigate the relationship underlying co-expression modules and clinic traits. Gene ontology (GO) and protein-protein interaction (PPI) network analyses based on DAVID and the STRING website, respectively, were utilized to deeply excavate hub genes. Results: After removing the outliers from the GSE65823, GSE58445, GSE19069, and GSE6338 datasets using the results from an unsupervised cluster heatmap, 50 AITL samples and 55 anaplastic large cell lymphoma (ALCL) samples were screened. A total of 677 upregulated DEGs and 237 downregulated DEGs were identified in AITL and used to construct a PPI network complex. Using WGCNA, 12 identified co-expression modules were constructed from the 5468 genes with the top 10% of variance, and 192 genes from the Turquoise and Brown modules were with a Gene Significance (GS) cut-off threshold >0.6. Eleven hub genes (CDH1, LAT, LPAR1, CXCL13, CD27, ICAM2, CD3E, CCL19, CTLA-4, CXCR5, and C3) were identified. Only CTLA-4 overexpressed was found to be a poor prognostic factor according to survival analysis. Gene set enrichment analysis (GSEA) identified and validated the intersection of key pathways (T cell receptor, primary immunodeficiency, and chemokine signaling pathways). Conclusion: Our findings provide the framework for the identification of AITL co-expression gene modules and identify key pathways and driving genes that may be novel treatment targets and helpful for the development of a prognostic evaluation index.
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The effect of individual parameters on the OS was studied with Kaplan–Meier (KM) survival analysis using dichotomous grouping based on the ROC analysis.
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The effect of individual parameters on the OS was studied with Kaplan–Meier (KM) survival analysis using dichotomous grouping based on the ROC analysis.
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We obtained four series (GSE65823, GSE58445, GSE19069, and GSE6338), which were based on the GPL570 platform ([HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array, Santa Clara, CA, USA). A total of 55 ALCL cases and 50 AITL cases were included in these datasets. We chose these four datasets for our integrated analysis in this study because these datasets, which include both AITL and ALCL subtypes, were generated from the same sequencing platform.
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sections[3] "Microarray information and DEG identification" paragraph 2
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Molecular signatures in peripheral T-cell lymphoma (PTCL)
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[25]
GSM146167
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[29]
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[30]
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[32]
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[33]
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[34]
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[35]
GSM146177
[36]
GSM146178
[37]
GSM146179
[38]
GSM146180
[39]
GSM146181
[40]
GSM146182
[41]
GSM146183
[42]
GSM146184
[43]
GSM146185
[44]
GSM146186
[45]
GSM146187
[46]
GSM146188
[47]
GSM146189
[48]
GSM146190
[49]
GSM146191
[50]
GSM146192
[51]
GSM146193
[52]
GSM146194
[53]
GSM146195
[54]
GSM146196
[55]
GSM146197
[56]
GSM146198
[57]
GSM146199
[58]
GSM146200
[59]
GSM146201
sample_count
60
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Gene expression analysis of Peripheral T-cell Lymphoma/Unspecified
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[4] object · 15 fields
id
data:geo:GSE65823
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=GSE65823
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE65823
version
null
note
We obtained four series (GSE65823, GSE58445, GSE19069, and GSE6338), which were based on the GPL570 platform ([HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array, Santa Clara, CA, USA). A total of 55 ALCL cases and 50 AITL cases were included in these datasets. We chose these four datasets for our integrated analysis in this study because these datasets, which include both AITL and ALCL subtypes, were generated from the same sequencing platform.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We obtained four series (GSE65823, GSE58445, GSE19069, and GSE6338), which were based on the GPL570 platform ([HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array, Santa Clara, CA, USA). A total of 55 ALCL cases and 50 AITL cases were included in these datasets. We chose these four datasets for our integrated analysis in this study because these datasets, which include both AITL and ALCL subtypes, were generated from the same sequencing platform.
access_statement_kind
repository_route_statement
sample_accessions array · 31 items
[0]
GSM1607007
[1]
GSM1607008
[2]
GSM1607009
[3]
GSM1607010
[4]
GSM1607011
[5]
GSM1607012
[6]
GSM1607013
[7]
GSM1607014
[8]
GSM1607015
[9]
GSM1607016
[10]
GSM1607017
[11]
GSM1607018
[12]
GSM1607019
[13]
GSM1607020
[14]
GSM1607021
[15]
GSM1607022
[16]
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[17]
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[18]
GSM1607025
[19]
GSM1607026
[20]
GSM1607027
[21]
GSM1607028
[22]
GSM1607029
[23]
GSM1607030
[24]
GSM1607031
[25]
GSM1607032
[26]
GSM1607033
[27]
GSM1607034
[28]
GSM1607035
[29]
GSM1607036
[30]
GSM1607037
sample_count
31
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Identification of a new subclass of ALK negative ALCL expressing aberrant levels of ERBB4 transcripts
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 · 8 items
[0]
asset:data:geo:GSE19069 not downloaded
[1]
asset:data:geo:GSE19069 licence not read
[2]
asset:data:geo:GSE58445 not downloaded
[3]
asset:data:geo:GSE58445 licence not read
[4]
asset:data:geo:GSE6338 not downloaded
[5]
asset:data:geo:GSE6338 licence not read
[6]
asset:data:geo:GSE65823 not downloaded
[7]
asset:data:geo:GSE65823 licence not read
analysis object · 4 fields
state
complete
methods array · 3 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
The effect of individual parameters on the OS was studied with Kaplan–Meier (KM) survival analysis using dichotomous grouping based on the ROC analysis.
[1] object · 10 fields
id
method-2
family
network_analysis
specific
ppi_network
label
Network / pathway analysis
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
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edge_list
evidence object · 3 fields
score
0.7
band
medium
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protein-protein interaction
[2] object · 10 fields
id
method-3
family
diagnostic_evaluation
specific
roc
label
Diagnostic test evaluation
dsl_operations array · 6 items
[0]
confusion_counts
[1]
roc_curve
[2]
sensitivity_specificity
[3]
solve_confusion_matrix
[4]
classification_metrics
[5]
published_precision_envelope
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
reference_standard_and_test
evidence object · 3 fields
score
0.8
band
high
quote
ROC analysis
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gaps array · 0 items
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 · 4 items
[0]
GSE65823
[1]
GSE58445
[2]
GSE19069
[3]
GSE6338
resolved_accessions array · 4 items
[0]
GSE65823
[1]
GSE58445
[2]
GSE19069
[3]
GSE6338
statements array · 1 item
[0]
We obtained four series (GSE65823, GSE58445, GSE19069, and GSE6338), which were based on the GPL570 platform ([HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array, Santa Clara, CA, USA). A total of 55 ALCL cases and 50 AITL cases were included in these datasets. We chose these four datasets for our integrated analysis in this study because these datasets, which include both AITL and ALCL subtypes, were generated from the same sequencing platform.
basis
The paper names GSE65823, GSE58445, GSE19069, GSE6338 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:31239775
[1]
data:geo:GSE19069
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:GSE19069
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
2026-10-31T18:15:15Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
null
calls
3
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prompt_tokens
34519
completion_tokens
2275
cached_tokens
784
stages array · 1 item
[0] object · 4 fields
id
extraction
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complete
reader
MiniMax-M3.1-Flash
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minimax
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review.independent_reader
[1]
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[2]
review.human_critique
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absent
status
not_run
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null
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execution.not_run
provenance object · 7 fields
entities array · 3 items
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pmid:31239775
type
paper
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pmid:31239775
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id
source:pmid:31239775
type
manuscript
label
PMID 31239775 full text
[2] object · 3 fields
id
data:geo:GSE19069
type
dataset
label
GEO GSE19069
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
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id
pmid:31239775
type
paper
label
pmid:31239775
[1] object · 3 fields
id
source:pmid:31239775
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manuscript
label
PMID 31239775 full text
[2] object · 3 fields
id
data:geo:GSE19069
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dataset
label
GEO GSE19069
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-31239775
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extraction
used array · 1 item
[0]
source:pmid:31239775
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE19069
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accession_resolution
used array · 1 item
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data:geo:GSE19069
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agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
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software
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Corpus assay engine
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id
agent:minimax-reader
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software
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MiniMax literature reader
source_run_id
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dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
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lineage object · 4 fields
parent_id
pmid:31239775
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sha256:6ad0363df38a843c92b74a8e7733904eaecafd78daf615f2b0e8fbd81db1b7a1
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null
gaps array · 12 items
[0]
asset:data:geo:GSE19069 licence not read
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asset:data:geo:GSE58445 licence not read
[3]
asset:data:geo:GSE58445 not downloaded
[4]
asset:data:geo:GSE6338 licence not read
[5]
asset:data:geo:GSE6338 not downloaded
[6]
asset:data:geo:GSE65823 licence not read
[7]
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[8]
execution.not_run
[9]
review.human_critique
[10]
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[11]
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role
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supported
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dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The effect of individual parameters on the OS was studied with Kaplan–Meier (KM) survival analysis using dichotomous grouping based on the ROC analysis.
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:31239775", "kind": "science-record", "revision": 8, "content_hash": "sha256:8e3f75c2616ccb6da8e025cce6546ed28cf8788e4da9a18335c8ef2b2bcdab92", "created_at": "2026-11-01T15:40:46Z", "updated_at": "2026-11-01T22:00:39Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of hub genes and key pathways associated with angioimmunoblastic T-cell lymphoma using weighted gene co-expression network analysis.", "doi": "10.2147/CMAR.S185030", "pmid": "31239775", "authors": ["Xiaoqian Li", "Zijian Liu", "Mi Mi", "Caijiao Zhang", "Yin Xiao", "Xinxiu Liu", "Gang Wu", "Liling Zhang"], "journal": "Cancer management and research", "year": 2019, "abstract": "Background: Angioimmunoblastic T-cell lymphoma (AITL) is an aggressive subtype of peripheral T-cell lymphoma (PTCL) that has a poor 5-year overall survival rate due to its lack of precise therapeutic targets. Identifying potential prognostic markers of AITL may provide information regarding the development of precision medicine. Methods: RNA sequence data from PTCL and patient clinic traits were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed gene (DEG) analysis and weighted gene co-expression network analysis (WGCNA) were performed to identify DEGs between the different PTCL subtypes and investigate the relationship underlying co-expression modules and clinic traits. Gene ontology (GO) and protein-protein interaction (PPI) network analyses based on DAVID and the STRING website, respectively, were utilized to deeply excavate hub genes. Results: After removing the outliers from the GSE65823, GSE58445, GSE19069, and GSE6338 datasets using the results from an unsupervised cluster heatmap, 50 AITL samples and 55 anaplastic large cell lymphoma (ALCL) samples were screened. A total of 677 upregulated DEGs and 237 downregulated DEGs were identified in AITL and used to construct a PPI network complex. Using WGCNA, 12 identified co-expression modules were constructed from the 5468 genes with the top 10% of variance, and 192 genes from the Turquoise and Brown modules were with a Gene Significance (GS) cut-off threshold >0.6. Eleven hub genes (CDH1, LAT, LPAR1, CXCL13, CD27, ICAM2, CD3E, CCL19, CTLA-4, CXCR5, and C3) were identified. Only CTLA-4 overexpressed was found to be a poor prognostic factor according to survival analysis. Gene set enrichment analysis (GSEA) identified and validated the intersection of key pathways (T cell receptor, primary immunodeficiency, and chemokine signaling pathways). Conclusion: Our findings provide the framework for the identification of AITL co-expression gene modules and identify key pathways and driving genes that may be novel treatment targets and helpful for the development of a prognostic evaluation index.", "claims": [{"id": "claim-method", "statement": "The effect of individual parameters on the OS was studied with Kaplan–Meier (KM) survival analysis using dichotomous grouping based on the ROC analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31239775", "locator": "sections[7] \"Survival analysis\" paragraph 2", "quote": "The effect of individual parameters on the OS was studied with Kaplan–Meier (KM) survival analysis using dichotomous grouping based on the ROC analysis."}], "state": "complete"}, {"id": "claim-data-access", "statement": "We obtained four series (GSE65823, GSE58445, GSE19069, and GSE6338), which were based on the GPL570 platform ([HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array, Santa Clara, CA, USA). A total of 55 ALCL cases and 50 AITL cases were included in these datasets. We chose these four datasets for our integrated analysis in this study because these datasets, which include both AITL and ALCL subtypes, were generated from the same sequencing platform.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31239775", "locator": "sections[3] \"Microarray information and DEG identification\" paragraph 2", "quote": "We obtained four series (GSE65823, GSE58445, GSE19069, and GSE6338), which were based on the GPL570 platform ([HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array, Santa Clara, CA, USA). A total of 55 ALCL cases and 50 AITL cases were included in these datasets. We chose these four datasets for our integrated analysis in this study because these datasets, which include both AITL and ALCL subtypes, were generated from the same sequencing platform."}], "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:31239775"], "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:GSE19069"], "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:GSE19069"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:31239775", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.2147/CMAR.S185030", "sha256": "sha256:9b27048659966711420154b87af7251e34158288b965173cea83a04fc61871db", "bytes": 43663, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.2147/CMAR.S185030", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC6559227", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE19069", "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=GSE19069", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE19069", "version": null, "note": "We obtained four series (GSE65823, GSE58445, GSE19069, and GSE6338), which were based on the GPL570 platform ([HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array, Santa Clara, CA, USA). A total of 55 ALCL cases and 50 AITL cases were included in these datasets. We chose these four datasets for our integrated analysis in this study because these datasets, which include both AITL and ALCL subtypes, were generated from the same sequencing platform.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "We obtained four series (GSE65823, GSE58445, GSE19069, and GSE6338), which were based on the GPL570 platform ([HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array, Santa Clara, CA, USA). A total of 55 ALCL cases and 50 AITL cases were included in these datasets. We chose these four datasets for our integrated analysis in this study because these datasets, which include both AITL and ALCL subtypes, were generated from the same sequencing platform.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM472023", "GSM472024", "GSM472025", "GSM472026", "GSM472027", "GSM472028", "GSM472029", "GSM472030", "GSM472031", "GSM472032", "GSM472033", "GSM472034", "GSM472035", "GSM472036", "GSM472037", "GSM472038", "GSM472039", "GSM472040", "GSM472041", "GSM472042", "GSM472043", "GSM472044", "GSM472045", "GSM472046", "GSM472047", "GSM472048", "GSM472049", "GSM472050", "GSM472051", "GSM472052", "GSM472053", "GSM472054", "GSM472055", "GSM472056", "GSM472057", "GSM472058", "GSM472059", "GSM472060", "GSM472061", "GSM472062", "GSM472063", "GSM472064", "GSM472065", "GSM472066", "GSM472067", "GSM472068", "GSM472069", "GSM472070", "GSM472071", "GSM472072", "GSM472073", "GSM472074", "GSM472075", "GSM472076", "GSM472077", "GSM472078", "GSM472079", "GSM472080", "GSM472081", "GSM472082", "GSM472083", "GSM472084", "GSM472085", "GSM472086", "GSM472087", "GSM472088", "GSM472089", "GSM472090", "GSM472091", "GSM472092", "GSM472093", "GSM472094", "GSM472095", "GSM472096", "GSM472097", "GSM472098", "GSM472099", "GSM472100", "GSM472101", "GSM472102", "GSM472103", "GSM472104", "GSM472105", "GSM472106", "GSM472107", "GSM472108", "GSM472109", "GSM472110", "GSM472111", "GSM472112", "GSM472113", "GSM472114", "GSM472115", "GSM472116", "GSM472117", "GSM472118", "GSM472119", "GSM472120", "GSM472121", "GSM472122", "GSM472123", "GSM472124", "GSM472125", "GSM472126", "GSM472127", "GSM472128", "GSM472129", "GSM472130", "GSM472131", "GSM472132", "GSM472133", "GSM472134", "GSM472135", "GSM472136", "GSM472137", "GSM472138", "GSM472139", "GSM472140", "GSM472141", "GSM472142", "GSM472143", "GSM472144", "GSM472145", "GSM472146", "GSM472147", "GSM472148", "GSM472149", "GSM472150", "GSM472151", "GSM472152", "GSM472153", "GSM472154", "GSM472155", "GSM472156", "GSM472157", "GSM472158", "GSM472159", "GSM472160", "GSM472161", "GSM472162", "GSM472163", "GSM472164", "GSM472165", "GSM472166", "GSM472167", "GSM472168", "GSM472169"], "sample_count": 147, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Molecular signatures in peripheral T-cell lymphoma (PTCL)", "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:GSE58445", "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=GSE58445", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE58445", "version": null, "note": "We obtained four series (GSE65823, GSE58445, GSE19069, and GSE6338), which were based on the GPL570 platform ([HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array, Santa Clara, CA, USA). A total of 55 ALCL cases and 50 AITL cases were included in these datasets. We chose these four datasets for our integrated analysis in this study because these datasets, which include both AITL and ALCL subtypes, were generated from the same sequencing platform.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "We obtained four series (GSE65823, GSE58445, GSE19069, and GSE6338), which were based on the GPL570 platform ([HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array, Santa Clara, CA, USA). A total of 55 ALCL cases and 50 AITL cases were included in these datasets. We chose these four datasets for our integrated analysis in this study because these datasets, which include both AITL and ALCL subtypes, were generated from the same sequencing platform.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM1411273", "GSM1411274", "GSM1411275", "GSM1411276", "GSM1411277", "GSM1411278", "GSM1411279", "GSM1411280", "GSM1411281", "GSM1411282", "GSM1411283", "GSM1411284", "GSM1411285", "GSM1411286", "GSM1411287", "GSM1411288", "GSM1411289", "GSM1411290", "GSM1411291", "GSM1411292", "GSM1411293", "GSM1411294", "GSM1411295", "GSM1411296", "GSM1411297", "GSM1411298", "GSM1411299", "GSM1411300", "GSM1411301", "GSM1411302", "GSM1411303", "GSM1411304", "GSM1411305", "GSM1411306", "GSM1411307", "GSM1411308", "GSM1411309", "GSM1411310", "GSM1411311", "GSM1411312", "GSM1411313", "GSM1411314", "GSM1411315", "GSM1411316", "GSM1411317", "GSM1411318", "GSM1411319", "GSM1411320", "GSM1411321", "GSM1411322", "GSM1411323", "GSM1411324", "GSM1411325", "GSM1411326", "GSM1411327", "GSM1411328", "GSM1411329", "GSM1411330", "GSM1411331", "GSM1411332", "GSM1411333", "GSM1411334", "GSM1411335", "GSM1411336", "GSM1411337", "GSM1411338", "GSM1411339", "GSM1411340", "GSM1411341", "GSM1411342", "GSM1411343", "GSM1411344", "GSM1411345", "GSM1411346", "GSM1411347", "GSM1411348", "GSM1411349", "GSM1411350", "GSM1411351", "GSM1411352", "GSM1411353", "GSM1411354", "GSM1411355", "GSM1411356", "GSM1411357", "GSM1411358", "GSM1411359", "GSM1411360", "GSM1411361", "GSM1411362", "GSM1411363", "GSM1411364", "GSM1411365", "GSM1411366", "GSM1411367", "GSM1411368", "GSM1411369", "GSM1411370", "GSM1411371", "GSM1411372", "GSM1411373", "GSM1411374", "GSM1411375", "GSM1411376", "GSM1411377", "GSM1411378", "GSM1411379", "GSM1411380", "GSM1411381", "GSM1411382", "GSM1411383", "GSM1411384", "GSM1411385", "GSM1411386", "GSM1411387", "GSM1411388", "GSM1411389", "GSM1411390", "GSM1411391", "GSM1411392", "GSM1411393", "GSM1411394", "GSM1411395", "GSM1411396", "GSM1411397", "GSM1411398", "GSM1411399", "GSM1411400", "GSM1411401", "GSM1411402", "GSM1411403", "GSM1411404", "GSM1411405", "GSM1411406", "GSM1411407", "GSM1411408", "GSM1411409", "GSM1411410", "GSM1411411", "GSM1411412", "GSM1411413", "GSM1411414", "GSM1411415", "GSM1411416", "GSM1411417", "GSM1411418", "GSM1411419", "GSM1411420", "GSM1411421", "GSM1411422", "GSM1411423", "GSM1411424", "GSM1411425", "GSM1411426", "GSM1411427", "GSM1411428", "GSM1411429", "GSM1411430", "GSM1411431", "GSM1411432", "GSM1411433", "GSM1411434", "GSM1411435", "GSM1411436", "GSM1411437", "GSM1411438", "GSM1411439", "GSM1411440", "GSM1411441", "GSM1411442", "GSM1411443", "GSM1411444", "GSM1411445", "GSM1411446", "GSM1411447", "GSM1411448", "GSM1411449", "GSM1411450", "GSM1411451", "GSM1411452", "GSM1411453", "GSM1411454", "GSM1411455", "GSM1411456", "GSM1411457", "GSM1411458", "GSM1411459", "GSM1411460", "GSM1411461", "GSM1411462", "GSM1411463", "GSM1411464", "GSM1411465"], "sample_count": 193, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Gene expression signatures delineate biological and prognostic subgroups in peripheral T-cell lymphoma", "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:GSE6338", "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=GSE6338", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE6338", "version": null, "note": "We obtained four series (GSE65823, GSE58445, GSE19069, and GSE6338), which were based on the GPL570 platform ([HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array, Santa Clara, CA, USA). A total of 55 ALCL cases and 50 AITL cases were included in these datasets. We chose these four datasets for our integrated analysis in this study because these datasets, which include both AITL and ALCL subtypes, were generated from the same sequencing platform.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "We obtained four series (GSE65823, GSE58445, GSE19069, and GSE6338), which were based on the GPL570 platform ([HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array, Santa Clara, CA, USA). A total of 55 ALCL cases and 50 AITL cases were included in these datasets. We chose these four datasets for our integrated analysis in this study because these datasets, which include both AITL and ALCL subtypes, were generated from the same sequencing platform.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM146142", "GSM146143", "GSM146144", "GSM146145", "GSM146146", "GSM146147", "GSM146148", "GSM146149", "GSM146150", "GSM146151", "GSM146152", "GSM146153", "GSM146154", "GSM146155", "GSM146156", "GSM146157", "GSM146158", "GSM146159", "GSM146160", "GSM146161", "GSM146162", "GSM146163", "GSM146164", "GSM146165", "GSM146166", "GSM146167", "GSM146168", "GSM146169", "GSM146170", "GSM146171", "GSM146172", "GSM146173", "GSM146174", "GSM146175", "GSM146176", "GSM146177", "GSM146178", "GSM146179", "GSM146180", "GSM146181", "GSM146182", "GSM146183", "GSM146184", "GSM146185", "GSM146186", "GSM146187", "GSM146188", "GSM146189", "GSM146190", "GSM146191", "GSM146192", "GSM146193", "GSM146194", "GSM146195", "GSM146196", "GSM146197", "GSM146198", "GSM146199", "GSM146200", "GSM146201"], "sample_count": 60, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Gene expression analysis of Peripheral T-cell Lymphoma/Unspecified", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE65823", "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=GSE65823", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE65823", "version": null, "note": "We obtained four series (GSE65823, GSE58445, GSE19069, and GSE6338), which were based on the GPL570 platform ([HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array, Santa Clara, CA, USA). A total of 55 ALCL cases and 50 AITL cases were included in these datasets. We chose these four datasets for our integrated analysis in this study because these datasets, which include both AITL and ALCL subtypes, were generated from the same sequencing platform.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "We obtained four series (GSE65823, GSE58445, GSE19069, and GSE6338), which were based on the GPL570 platform ([HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array, Santa Clara, CA, USA). A total of 55 ALCL cases and 50 AITL cases were included in these datasets. We chose these four datasets for our integrated analysis in this study because these datasets, which include both AITL and ALCL subtypes, were generated from the same sequencing platform.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM1607007", "GSM1607008", "GSM1607009", "GSM1607010", "GSM1607011", "GSM1607012", "GSM1607013", "GSM1607014", "GSM1607015", "GSM1607016", "GSM1607017", "GSM1607018", "GSM1607019", "GSM1607020", "GSM1607021", "GSM1607022", "GSM1607023", "GSM1607024", "GSM1607025", "GSM1607026", "GSM1607027", "GSM1607028", "GSM1607029", "GSM1607030", "GSM1607031", "GSM1607032", "GSM1607033", "GSM1607034", "GSM1607035", "GSM1607036", "GSM1607037"], "sample_count": 31, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Identification of a new subclass of ALK negative ALCL expressing aberrant levels of ERBB4 transcripts", "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:GSE19069 not downloaded", "asset:data:geo:GSE19069 licence not read", "asset:data:geo:GSE58445 not downloaded", "asset:data:geo:GSE58445 licence not read", "asset:data:geo:GSE6338 not downloaded", "asset:data:geo:GSE6338 licence not read", "asset:data:geo:GSE65823 not downloaded", "asset:data:geo:GSE65823 licence not read"]}, "analysis": {"state": "complete", "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": "The effect of individual parameters on the OS was studied with Kaplan–Meier (KM) survival analysis using dichotomous grouping based on the ROC analysis."}}, {"id": "method-2", "family": "network_analysis", "specific": "ppi_network", "label": "Network / pathway analysis", "dsl_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.7, "band": "medium", "quote": "protein-protein interaction"}}, {"id": "method-3", "family": "diagnostic_evaluation", "specific": "roc", "label": "Diagnostic test evaluation", "dsl_operations": ["confusion_counts", "roc_curve", "sensitivity_specificity", "solve_confusion_matrix", "classification_metrics", "published_precision_envelope"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["reference_standard_and_test"], "evidence": {"score": 0.8, "band": "high", "quote": "ROC analysis"}}], "targets": [], "gaps": []}, "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": ["GSE65823", "GSE58445", "GSE19069", "GSE6338"], "resolved_accessions": ["GSE65823", "GSE58445", "GSE19069", "GSE6338"], "statements": ["We obtained four series (GSE65823, GSE58445, GSE19069, and GSE6338), which were based on the GPL570 platform ([HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array, Santa Clara, CA, USA). A total of 55 ALCL cases and 50 AITL cases were included in these datasets. We chose these four datasets for our integrated analysis in this study because these datasets, which include both AITL and ALCL subtypes, were generated from the same sequencing platform."], "basis": "The paper names GSE65823, GSE58445, GSE19069, GSE6338 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:31239775", "data:geo:GSE19069"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE19069"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:15:15Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": null}, "calls": 3, "usage": {"prompt_tokens": 34519, "completion_tokens": 2275, "cached_tokens": 784}}, "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:31239775", "type": "paper", "label": "pmid:31239775"}, {"id": "source:pmid:31239775", "type": "manuscript", "label": "PMID 31239775 full text"}, {"id": "data:geo:GSE19069", "type": "dataset", "label": "GEO GSE19069"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:31239775", "type": "paper", "label": "pmid:31239775"}, {"id": "source:pmid:31239775", "type": "manuscript", "label": "PMID 31239775 full text"}, {"id": "data:geo:GSE19069", "type": "dataset", "label": "GEO GSE19069"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-31239775", "type": "extraction", "used": ["source:pmid:31239775"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE19069", "type": "accession_resolution", "used": ["data:geo:GSE19069"], "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:31239775", "parent_hash": "sha256:6ad0363df38a843c92b74a8e7733904eaecafd78daf615f2b0e8fbd81db1b7a1", "fork_of": null, "generation": 7}, "gaps": ["asset:data:geo:GSE19069 licence not read", "asset:data:geo:GSE19069 not downloaded", "asset:data:geo:GSE58445 licence not read", "asset:data:geo:GSE58445 not downloaded", "asset:data:geo:GSE6338 licence not read", "asset:data:geo:GSE6338 not downloaded", "asset:data:geo:GSE65823 licence not read", "asset:data:geo:GSE65823 not downloaded", "execution.not_run", "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": ["The effect of individual parameters on the OS was studied with Kaplan–Meier (KM) survival analysis using dichotomous grouping based on the ROC analysis."], "order_basis": "analysis_only", "id": "assay:1"}]}