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pmid:38017264

Identification and validation of candidate clinical signatures of apolipoprotein L isoforms in hepatocellular carcinoma.

Xiang-Kun Wang · Yu-Xiang Guo · Miao Wang · Xu-Dong Zhang · Zhong-Yuan Liu · Mao-Sen Wang · Kai Luo · Shuai Huang · Ren-Feng Li

Scientific reports · 2023 doi:10.1038/s41598-023-48366-0

Paper

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Experiment

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Data

partial

Analysis

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:38017264
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2026-11-01T19:02:56Z
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2026-11-01T21:32:02Z
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paper object · 10 fields
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title
Identification and validation of candidate clinical signatures of apolipoprotein L isoforms in hepatocellular carcinoma.
doi
10.1038/s41598-023-48366-0
pmid
38017264
authors array · 9 items
[0]
Xiang-Kun Wang
[1]
Yu-Xiang Guo
[2]
Miao Wang
[3]
Xu-Dong Zhang
[4]
Zhong-Yuan Liu
[5]
Mao-Sen Wang
[6]
Kai Luo
[7]
Shuai Huang
[8]
Ren-Feng Li
journal
Scientific reports
year
2023
abstract
Hepatocellular carcinoma (HCC) is a lethal malignancy worldwide with an increasing number of new cases each year. Apolipoprotein (APOL) isoforms have been explored for their associations with HCC.The GSE14520 cohort was used for training data; The Cancer Genome Atlas (TCGA) database was used for validated data. Diagnostic, prognostic significance and mechanisms were explored using these cohorts. Risk score models and nomograms were constructed using prognosis-related isoforms and clinical factors for survival prediction. Oncomine and HCCDB databases were further used for validation of diagnostic, prognostic significance. APOL1, 3, and 6 were differentially expressed in two cohorts (all P ≤ 0.05). APOL1 and APOL6 had diagnostic capacity whereas APOL3 and APOL6 had prognostic capacity in two cohorts (areas under curves [AUCs] > 0.7, P ≤ 0.05). Mechanism studies demonstrated that APOL3 and APOL6 might be involved in humoral chemokine signaling pathways (all P ≤ 0.05). Risk score models and nomograms were constructed and validated for survival prediction of HCC. Moreover, diagnostic values of APOL1 and weak APOL6 were validated in Oncomine database (AUC > 0.700, 0.694); prognostic values of APOL3 and APOL6 were validated in HCCDB database (all P < 0.05). Differentially expressed APOL1 and APOL6 might be diagnostic biomarkers; APOL3 and APOL6 might be prognostic biomarkers of RFS and OS for HCC via chemokine signaling pathways.
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Calculations of 95% confidence intervals and hazard ratios were by univariate and multivariate Cox regression models. Median survival time and log-rank P value were calculated by the Kaplan–Meier method.
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sections[9] "Statistical analysis" paragraph 2
quote
Calculations of 95% confidence intervals and hazard ratios were by univariate and multivariate Cox regression models. Median survival time and log-rank P value were calculated by the Kaplan–Meier method.
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The datasets analyzed during the current study are available from the corresponding author on reasonable request.
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sections[27] "notes" paragraph 1
quote
The datasets analyzed during the current study are available from the corresponding author on reasonable request.
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APOL1 and APOL6 had diagnostic significance for HCC, while APOL3 and APOL6 had prognostic significance in both cohorts.
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From the diagnostic capacity analysis, in the GSE14520 cohort, APOL1 and APOL6 had diagnostic significance for HCC (APOL1: area under curve [AUC] 0.824, P < 0.0001; APOL6: AUC 0.775, P < 0.0001, Fig. 2A,E).
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sections[12] "Diagnostic capacity and prognostic significance analysis" paragraph 2
quote
From the diagnostic capacity analysis, in the GSE14520 cohort, APOL1 and APOL6 had diagnostic significance for HCC (APOL1: area under curve [AUC] 0.824, P < 0.0001; APOL6: AUC 0.775, P < 0.0001, Fig. 2A,E).
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sections[12] "Diagnostic capacity and prognostic significance analysis" paragraph 2
quote
In the TCGA cohort, APOL1 and APOL6 had diagnostic significance for HCC (APOL1: AUC 0.824, P < 0.0001; APOL6: AUC 0.911, P < 0.0001, Fig. 2F,K).
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APOL1 and APOL6 had diagnostic significance for HCC, while APOL3 and APOL6 had prognostic significance in both cohorts.
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The datasets analyzed during the current study are available from the corresponding author on reasonable request.
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[471]
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[472]
GSM363447
[473]
GSM363448
[474]
GSM363449
[475]
GSM363450
[476]
GSM363451
[477]
GSM712532
[478]
GSM712533
[479]
GSM712534
[480]
GSM712535
[481]
GSM712536
[482]
GSM712537
[483]
GSM712538
[484]
GSM712539
[485]
GSM712540
[486]
GSM712541
[487]
GSM712542
sample_count
488
group_sizes
null
group_sizes_basis
null
platform
3921;571
taxon
Homo sapiens
title
Gene expression data of human hepatocellular carcinoma (HCC)
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:GSE14520 not downloaded
[1]
asset:data:geo:GSE14520 licence not read
analysis object · 4 fields
state
complete
methods array · 2 items
[0] object · 10 fields
id
method-1
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
1
band
verbatim
quote
Calculations of 95% confidence intervals and hazard ratios were by univariate and multivariate Cox regression models. Median survival time and log-rank P value were calculated by the Kaplan–Meier method.
[1] object · 10 fields
id
method-2
family
survival_analysis
specific
log_rank_test
label
Survival analysis
dsl_operations array · 1 item
[0]
logrank_test
missing_operations array · 0 items
parameters object · 2 fields
median_survival
Median survival time and log-rank P val
p_value
vival time and log-rank P value were calculated by the
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.8
band
high
quote
log-rank
targets array · 1 item
[0] object · 8 fields
id
target-published-estimate
claim_id
claim-target-result
operation
cox_ph
unit
p-value
tolerance
null
state
complete
note
The threshold the paper applied to its own result, as the paper states it. A run that reproduces the effect is judged against this threshold.
gaps array · 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]
cox_ph
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: cox_proportional_hazards.
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]
GSE14520
resolved_accessions array · 1 item
[0]
GSE14520
statements array · 1 item
[0]
The datasets analyzed during the current study are available from the corresponding author on reasonable request.
basis
The paper names GSE14520 in GSE14520 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]
cox_ph
assets array · 2 items
[0]
source:pmid:38017264
[1]
data:geo:GSE14520
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
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capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE14520
gaps array · 0 items
review object · 5 fields
state
partial
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kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T19:00:17Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
12898
completion_tokens
1811
cached_tokens
128
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
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minimax
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[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
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null
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gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:38017264
type
paper
label
pmid:38017264
[1] object · 3 fields
id
source:pmid:38017264
type
manuscript
label
PMID 38017264 full text
[2] object · 3 fields
id
data:geo:GSE14520
type
dataset
label
GEO GSE14520
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:38017264
type
paper
label
pmid:38017264
[1] object · 3 fields
id
source:pmid:38017264
type
manuscript
label
PMID 38017264 full text
[2] object · 3 fields
id
data:geo:GSE14520
type
dataset
label
GEO GSE14520
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-38017264
type
extraction
used array · 1 item
[0]
source:pmid:38017264
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE14520
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE14520
agent
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
[1] object · 3 fields
id
agent:minimax-reader
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software
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MiniMax literature reader
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reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
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ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:38017264
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sha256:bb129700ca24ed53a9c547d0ae66729bbba0db34952e6a828f175f6c138f2500
fork_of
null
gaps array · 6 items
[0]
asset:data:geo:GSE14520 licence not read
[1]
asset:data:geo:GSE14520 not downloaded
[2]
execution.not_run
[3]
review.human_critique
[4]
review.independent_reader
[5]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
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survival_analysis
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f2132e96ae6c7a4e
required_operations array · 1 item
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cox_ph
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Calculations of 95% confidence intervals and hazard ratios were by univariate and multivariate Cox regression models. Median survival time and log-rank P value were calculated by the Kaplan–Meier method.
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:38017264", "kind": "science-record", "revision": 2, "content_hash": "sha256:4bba6f26a750e5235c87970666a1ebb778414c897b4f88ae35d73cd341aed124", "created_at": "2026-11-01T19:02:56Z", "updated_at": "2026-11-01T21:32:02Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification and validation of candidate clinical signatures of apolipoprotein L isoforms in hepatocellular carcinoma.", "doi": "10.1038/s41598-023-48366-0", "pmid": "38017264", "authors": ["Xiang-Kun Wang", "Yu-Xiang Guo", "Miao Wang", "Xu-Dong Zhang", "Zhong-Yuan Liu", "Mao-Sen Wang", "Kai Luo", "Shuai Huang", "Ren-Feng Li"], "journal": "Scientific reports", "year": 2023, "abstract": "Hepatocellular carcinoma (HCC) is a lethal malignancy worldwide with an increasing number of new cases each year. Apolipoprotein (APOL) isoforms have been explored for their associations with HCC.The GSE14520 cohort was used for training data; The Cancer Genome Atlas (TCGA) database was used for validated data. Diagnostic, prognostic significance and mechanisms were explored using these cohorts. Risk score models and nomograms were constructed using prognosis-related isoforms and clinical factors for survival prediction. Oncomine and HCCDB databases were further used for validation of diagnostic, prognostic significance. APOL1, 3, and 6 were differentially expressed in two cohorts (all P ≤ 0.05). APOL1 and APOL6 had diagnostic capacity whereas APOL3 and APOL6 had prognostic capacity in two cohorts (areas under curves [AUCs] > 0.7, P ≤ 0.05). Mechanism studies demonstrated that APOL3 and APOL6 might be involved in humoral chemokine signaling pathways (all P ≤ 0.05). Risk score models and nomograms were constructed and validated for survival prediction of HCC. Moreover, diagnostic values of APOL1 and weak APOL6 were validated in Oncomine database (AUC > 0.700, 0.694); prognostic values of APOL3 and APOL6 were validated in HCCDB database (all P < 0.05). Differentially expressed APOL1 and APOL6 might be diagnostic biomarkers; APOL3 and APOL6 might be prognostic biomarkers of RFS and OS for HCC via chemokine signaling pathways.", "claims": [{"id": "claim-method", "statement": "Calculations of 95% confidence intervals and hazard ratios were by univariate and multivariate Cox regression models. Median survival time and log-rank P value were calculated by the Kaplan–Meier method.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38017264", "locator": "sections[9] \"Statistical analysis\" paragraph 2", "quote": "Calculations of 95% confidence intervals and hazard ratios were by univariate and multivariate Cox regression models. 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