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pmid:32216563

High Squalene Epoxidase in Tumors Predicts Worse Survival in Patients With Hepatocellular Carcinoma: Integrated Bioinformatic Analysis on NAFLD and HCC.

Tingting Shen · Yunfei Lu · Qin Zhang

Cancer control : journal of the Moffitt Cancer Center · 2020 doi:10.1177/1073274820914663

Paper

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Experiment

complete

Data

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partial

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title
High Squalene Epoxidase in Tumors Predicts Worse Survival in Patients With Hepatocellular Carcinoma: Integrated Bioinformatic Analysis on NAFLD and HCC.
doi
10.1177/1073274820914663
pmid
32216563
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Tingting Shen
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Yunfei Lu
[2]
Qin Zhang
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Cancer control : journal of the Moffitt Cancer Center
year
2020
abstract
This study aimed to identify candidate biomarkers for predicting outcomes in nonalcoholic fatty liver disease (NAFLD) and hepatocellular carcinoma (HCC). Using Gene Expression Omnibus and The Cancer Genome Atlas (TCGA) databases, we identified common upregulated differential expressed genes (DEGs) in patients with NAFLD/nonalcoholic steatohepatitis (NASH) and HCC and conducted survival analysis of these upregulated DEGs with HCC outcomes. Two common upregulated DEGs including squalene epoxidase (SQLE) and EPPK1 messenger RNA (mRNA) were significantly upregulated in NAFLD, NASH, and HCC tissues, both in GSE45436 (P < .001) and TCGA profile (P < .001). Both SQLE and EPPK1 mRNA were upregulated in 15.56% and 8.06% patients with HCC in TCGA profile. Overexpression of SQLE in tumors was significantly associated with worse overall survival (OS) and disease-free survival (DFS) in patients with HCC (log-rank P = .027 and log-rank P = .048, respectively), while no statistical significances of OS and DFS were found in EPPK1 groups (both log-rank P > .05). For validation, SQLE upregulation contributed to significantly worse OS in patients wih HCC using Kaplan-Meier plotter analysis (hazard ratio = 1.43, 95% confidence interval: 1.01-2.02, log-rank P = .043). In addition, high level of SQLE significantly associated with advanced neoplasm histologic grade, advanced AJCC stage, and α-fetoprotein elevation (P = .036, .045, and .029, respectively). Squalene epoxidase is associated with OS and DFS and serves as a novel prognostic biomarker for patients with HCC.
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Liver Hepatocellular Carcinoma (The Cancer Genome Atlas [TCGA], Provisional) database in cBioPortal for cancer genomics web service was used for identifying potential candidate biomarkers for predicting the overall survival (OS) and disease-free survival (DFS) of patients with HCC. Additionally, the Kaplan-Meier plotter online service (http://kmplot.com/analysis/)19 was used for validation of candidates with auto select best cutoff and OS in patients with HCC.
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Liver Hepatocellular Carcinoma (The Cancer Genome Atlas [TCGA], Provisional) database in cBioPortal for cancer genomics web service was used for identifying potential candidate biomarkers for predicting the overall survival (OS) and disease-free survival (DFS) of patients with HCC.
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Additionally, the Kaplan-Meier plotter online service (http://kmplot.com/analysis/)19 was used for validation of candidates with auto select best cutoff and OS in patients with HCC.
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Liver Hepatocellular Carcinoma (The Cancer Genome Atlas [TCGA], Provisional) database in cBioPortal for cancer genomics web service was used for identifying potential candidate biomarkers for predicting the overall survival (OS) and disease-free survival (DFS) of patients with HCC. Additionally, the Kaplan-Meier plotter online service (http://kmplot.com/analysis/)19 was used for validation of candidates with auto select best cutoff and OS in patients with HCC.
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time_to_event_with_censoring
evidence object · 3 fields
score
0.7
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medium
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log-rank
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id
method-4
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contingency_analysis
specific
chi_square
label
Categorical (contingency table) analysis
dsl_operations array · 1 item
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chi_square_test
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data_shapes array · 1 item
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categorical_cross_tabulation
evidence object · 3 fields
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0.8
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high
quote
χ2
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gaps array · 1 item
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method.reader_differs_from_extractor
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
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[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
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nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
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true
required_operations array · 1 item
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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
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true
accessions array · 4 items
[0]
GSE59045
[1]
GSE45436
[2]
GSE60502
[3]
GSE84402
resolved_accessions array · 4 items
[0]
GSE59045
[1]
GSE45436
[2]
GSE60502
[3]
GSE84402
statements array · 1 item
[0]
GSE59045 and GSE45436 profiles were obtained from Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/) database. Patients with NAFLD/NASH in GSE59045 were grouped according to liver tissue histology: 6 patients in group I (<5% steatosis), 4 in group II (NAFLD, 30% to 50% steatosis), and 5 in group III (NASH).
basis
The paper names GSE59045, GSE45436, GSE60502, GSE84402 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
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survival_km
assets array · 4 items
[0]
source:pmid:32216563
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data:geo:GSE45436
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asset:table:pmid:32216563:1
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asset:table:pmid:32216563:2
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run_analysis
must_build object · 5 fields
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converters array · 0 items
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data_gaps array · 1 item
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data:geo:GSE45436
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
2026-10-31T18:19:11Z
independence
single_reader
evidence_check object · 2 fields
method
reordered
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null
calls
3
usage object · 3 fields
prompt_tokens
14628
completion_tokens
2436
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4864
stages array · 1 item
[0] object · 4 fields
id
extraction
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review.human_critique
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pmid:32216563
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paper
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pmid:32216563
[1] object · 3 fields
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source:pmid:32216563
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manuscript
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PMID 32216563 full text
[2] object · 3 fields
id
data:geo:GSE45436
type
dataset
label
GEO GSE45436
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[0] object · 4 fields
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activity-reading-sci-2026-11-01
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classification
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pmid:32216563
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paper
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pmid:32216563
[1] object · 3 fields
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source:pmid:32216563
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manuscript
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PMID 32216563 full text
[2] object · 3 fields
id
data:geo:GSE45436
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dataset
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GEO GSE45436
agent
agent:corpus-assay-engine
[1] object · 4 fields
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activity-read-32216563
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extraction
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[0]
source:pmid:32216563
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agent:minimax-reader
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id
activity-resolve-GSE45436
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accession_resolution
used array · 1 item
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data:geo:GSE45436
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agent:corpus-assay-engine
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agent:corpus-assay-engine
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agent:minimax-reader
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software
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MiniMax literature reader
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dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:32216563
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sha256:b630c72a6a4c3e39ab4e5ce021e444be3649ddff8bd1d74b0f8b34cb102e6a7f
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null
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asset:data:geo:GSE45436 licence not read
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asset:data:geo:GSE45436 not downloaded
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asset:data:geo:GSE59045 not downloaded
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asset:data:geo:GSE60502 licence not read
[5]
asset:data:geo:GSE60502 not downloaded
[6]
asset:data:geo:GSE84402 licence not read
[7]
asset:data:geo:GSE84402 not downloaded
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method.reader_differs_from_extractor
[10]
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assays array · 1 item
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analysis
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f2132e96ae6c7a4e
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survival_km
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supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
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Liver Hepatocellular Carcinoma (The Cancer Genome Atlas [TCGA], Provisional) database in cBioPortal for cancer genomics web service was used for identifying potential candidate biomarkers for predicting the overall survival (OS) and disease-free survival (DFS) of patients with HCC. Additionally, the Kaplan-Meier plotter online service (http://kmplot.com/analysis/)19 was used for validation of candidates with auto select best cutoff and OS in patients with HCC.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32216563", "kind": "science-record", "revision": 8, "content_hash": "sha256:9f0d27d934dab30cc1c16faee40e9c7ac156b46d4a6913c0c485a4801fbe643f", "created_at": "2026-11-01T15:40:58Z", "updated_at": "2026-11-01T22:01:26Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "High Squalene Epoxidase in Tumors Predicts Worse Survival in Patients With Hepatocellular Carcinoma: Integrated Bioinformatic Analysis on NAFLD and HCC.", "doi": "10.1177/1073274820914663", "pmid": "32216563", "authors": ["Tingting Shen", "Yunfei Lu", "Qin Zhang"], "journal": "Cancer control : journal of the Moffitt Cancer Center", "year": 2020, "abstract": "This study aimed to identify candidate biomarkers for predicting outcomes in nonalcoholic fatty liver disease (NAFLD) and hepatocellular carcinoma (HCC). Using Gene Expression Omnibus and The Cancer Genome Atlas (TCGA) databases, we identified common upregulated differential expressed genes (DEGs) in patients with NAFLD/nonalcoholic steatohepatitis (NASH) and HCC and conducted survival analysis of these upregulated DEGs with HCC outcomes. Two common upregulated DEGs including squalene epoxidase (SQLE) and EPPK1 messenger RNA (mRNA) were significantly upregulated in NAFLD, NASH, and HCC tissues, both in GSE45436 (P < .001) and TCGA profile (P < .001). Both SQLE and EPPK1 mRNA were upregulated in 15.56% and 8.06% patients with HCC in TCGA profile. Overexpression of SQLE in tumors was significantly associated with worse overall survival (OS) and disease-free survival (DFS) in patients with HCC (log-rank P = .027 and log-rank P = .048, respectively), while no statistical significances of OS and DFS were found in EPPK1 groups (both log-rank P > .05). For validation, SQLE upregulation contributed to significantly worse OS in patients wih HCC using Kaplan-Meier plotter analysis (hazard ratio = 1.43, 95% confidence interval: 1.01-2.02, log-rank P = .043). In addition, high level of SQLE significantly associated with advanced neoplasm histologic grade, advanced AJCC stage, and α-fetoprotein elevation (P = .036, .045, and .029, respectively). Squalene epoxidase is associated with OS and DFS and serves as a novel prognostic biomarker for patients with HCC.", "claims": [{"id": "claim-method", "statement": "Liver Hepatocellular Carcinoma (The Cancer Genome Atlas [TCGA], Provisional) database in cBioPortal for cancer genomics web service was used for identifying potential candidate biomarkers for predicting the overall survival (OS) and disease-free survival (DFS) of patients with HCC. Additionally, the Kaplan-Meier plotter online service (http://kmplot.com/analysis/)19 was used for validation of candidates with auto select best cutoff and OS in patients with HCC.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32216563", "locator": "sections[5] \"Survival Analysis\" paragraph 2", "quote": "Liver Hepatocellular Carcinoma (The Cancer Genome Atlas [TCGA], Provisional) database in cBioPortal for cancer genomics web service was used for identifying potential candidate biomarkers for predicting the overall survival (OS) and disease-free survival (DFS) of patients with HCC."}, {"asset": "source:pmid:32216563", "locator": "sections[5] \"Survival Analysis\" paragraph 2", "quote": "Additionally, the Kaplan-Meier plotter online service (http://kmplot.com/analysis/)19 was used for validation of candidates with auto select best cutoff and OS in patients with HCC."}], "state": "complete"}, {"id": "claim-data-access", "statement": "GSE59045 and GSE45436 profiles were obtained from Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/) database. Patients with NAFLD/NASH in GSE59045 were grouped according to liver tissue histology: 6 patients in group I (<5% steatosis), 4 in group II (NAFLD, 30% to 50% steatosis), and 5 in group III (NASH).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32216563", "locator": "sections[3] \"Source of Data\" paragraph 2", "quote": "GSE59045 and GSE45436 profiles were obtained from Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/) database. Patients with NAFLD/NASH in GSE59045 were grouped according to liver tissue histology: 6 patients in group I (<5% steatosis), 4 in group II (NAFLD, 30% to 50% steatosis), and 5 in group III (NASH)."}], "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:32216563"], "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:GSE45436"], "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:GSE45436"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:32216563", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1177/1073274820914663", "sha256": "sha256:c6ab418128a4f620a538c59db7d899e2eccacfead5c78674e1a2e1cb0df1bfaf", "bytes": 18039, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1177/1073274820914663", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7137641", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE45436", "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=GSE45436", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE45436", "version": null, "note": "GSE59045 and GSE45436 profiles were obtained from Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/) database. 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Patients with NAFLD/NASH in GSE59045 were grouped according to liver tissue histology: 6 patients in group I (<5% steatosis), 4 in group II (NAFLD, 30% to 50% steatosis), and 5 in group III (NASH).", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM2233086", "GSM2233087", "GSM2233088", "GSM2233089", "GSM2233090", "GSM2233091", "GSM2233092", "GSM2233093", "GSM2233094", "GSM2233095", "GSM2233096", "GSM2233097", "GSM2233098", "GSM2233099", "GSM2233100", "GSM2233101", "GSM2233102", "GSM2233103", "GSM2233104", "GSM2233105", "GSM2233106", "GSM2233107", "GSM2233108", "GSM2233109", "GSM2233110", "GSM2233111", "GSM2233112", "GSM2233113"], "sample_count": 28, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Expression data from human hepatocellular carcinoma tissues and the correponding non-cancerous tissues", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:32216563:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:bd4f395900c0f3dc7ab06c69e32921ef522097898f198761789d9c95f6a1ddca", "bytes": 245, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[10]/table-wrap[1]#table1-1073274820914663", "version": null, "note": "Characteristics of Patients With HCC Between SQLE High and SQLE Low Groups.", "structure": {"pmcid": "PMC7137641", "section_index": 10, "section_title": "Associations Between SQLE and Clinicopathological Characteristics in Patients With HCC", "row_count": 0, "column_count": 0}, "table": {"label": "Table 1.", "caption": "Characteristics of Patients With HCC Between SQLE High and SQLE Low Groups.", "rows": [], "row_count": 0, "column_count": 0, "numeric_cells": 0, "header_rows": 0, "locator": "section[10]/table-wrap[1]#table1-1073274820914663"}}, {"id": "asset:table:pmid:32216563:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:cd443537c71cd0e1493bbd2ec26fb8ed895dd3598d91891039136c7a6ef246d8", "bytes": 235, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[11]/table-wrap[1]#table2-1073274820914663", "version": null, "note": "Top 10 Scored Disease Associations for SQLE in DisGeNET Database.", "structure": {"pmcid": "PMC7137641", "section_index": 11, "section_title": "Diseases, Genes, and Functions Associated With SQLE", "row_count": 0, "column_count": 0}, "table": {"label": "Table 2.", "caption": "Top 10 Scored Disease Associations for SQLE in DisGeNET Database.", "rows": [], "row_count": 0, "column_count": 0, "numeric_cells": 0, "header_rows": 0, "locator": "section[11]/table-wrap[1]#table2-1073274820914663"}}], "gaps": ["asset:data:geo:GSE45436 not downloaded", "asset:data:geo:GSE45436 licence not read", "asset:data:geo:GSE59045 not downloaded", "asset:data:geo:GSE59045 licence not read", "asset:data:geo:GSE60502 not downloaded", "asset:data:geo:GSE60502 licence not read", "asset:data:geo:GSE84402 not downloaded", "asset:data:geo:GSE84402 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "survival_analysis", "specific": "kaplan_meier", "label": "Survival analysis", "dsl_operations": ["survival_km"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 1.0, "band": "reordered", "quote": "Liver Hepatocellular Carcinoma (The Cancer Genome Atlas [TCGA], Provisional) database in cBioPortal for cancer genomics web service was used for identifying potential candidate biomarkers for predicting the overall survival (OS) and disease-free survival (DFS) of patients with HCC. Additionally, the Kaplan-Meier plotter online service (http://kmplot.com/analysis/)19 was used for validation of candidates with auto select best cutoff and OS in patients with HCC."}}, {"id": "method-2", "family": "group_comparison", "specific": "mann_whitney", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["group_comparison_mann_whitney"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "Mann-Whitney"}}, {"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": 0.7, "band": "medium", "quote": "log-rank"}}, {"id": "method-4", "family": "contingency_analysis", "specific": "chi_square", "label": "Categorical (contingency table) analysis", "dsl_operations": ["chi_square_test"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["categorical_cross_tabulation"], "evidence": {"score": 0.8, "band": "high", "quote": "χ2"}}], "targets": [], "gaps": ["method.reader_differs_from_extractor"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["survival_km"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: kaplan_meier."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. 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