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

pmid:32500914

Fifteen mRNA-lncRNA expression-based signature predicted the survival of late-staged head and neck squamous cell carcinoma.

He Ren · Huaping Li · Ping Li · Yuhui Xu · Gang Liu · Liping Sun

Bioscience reports · 2020 doi:10.1042/BSR20200442

Paper

complete

Experiment

partial

Data

partial

Analysis

complete

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:32500914
kind
science-record
content_hash
sha256:9535fa87ff1995d8a0219d23565c09e8e4641d2299de308462670d5c727706d8
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:41:03Z
updated_at
2026-11-01T22:01:43Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Fifteen mRNA-lncRNA expression-based signature predicted the survival of late-staged head and neck squamous cell carcinoma.
doi
10.1042/BSR20200442
pmid
32500914
authors array · 6 items
[0]
He Ren
[1]
Huaping Li
[2]
Ping Li
[3]
Yuhui Xu
[4]
Gang Liu
[5]
Liping Sun
journal
Bioscience reports
year
2020
abstract
BACKGROUND: Gene expression is necessary for regulation in almost all biological processes, at the same time, it is related to the prognosis for head and neck squamous cell carcinoma (HNSCC). The prognosis of late-staged HNSCC is important because of its guiding significance on the therapy strategies. METHODS: In this work, we analyzed the relationship between gene expression and HNSCC in The Cancer Genome Atlas (TCGA) cohort, and optimized the panel with random forest survival analysis. Subsequently, a Cox multivariate regression-based model was developed to predict the clinical outcome of HNSCC. The performance of the model was assayed in the training cohort and validated in another three independent cohorts (GSE41614, E-TABM-302, E-MTAB-1328). The underlying pathways significantly associated with the model were identified. According to the results, patients of low-score group (median survival months: 27.4, 95% CI: 18.2-43) had a significant poor survival than those of high-score group (median survival months: 69.4, 95% CI: 58.7-72.1, P=2.7e-5), and the observation was repeatable in the other validation cohorts. Further analysis revealed that the model performed better than the other clinical indicators and is independent of these indicators. RESULTS: Comparison revealed that the model performed better than existing models for late HNSCC prognosis. Gene set enrichment analysis (GSEA) elucidated that the model was significantly associated with various cell processes and pathways.
claims array · 1 item
[0] object · 6 fields
id
claim-method
statement
To estimate the survival differences between the low- and high-risk groups, the Kaplan–Meier method with a log-rank test was chosen, and P<0.05 was considered as statistically significant in this step.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:32500914
locator
sections[6] "Statistical analysis" paragraph 2
quote
To estimate the survival differences between the low- and high-risk groups, the Kaplan–Meier method with a log-rank test was chosen, and P<0.05 was considered as statistically significant in this step.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
partial
objective
null
steps array · 3 items
[0] object · 13 fields
id
read_published_estimate
order
1
name
Read the published estimate from the source
kind
other
state
complete
blocked_on
null
description
The claim, method and evidence span published with the source article.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:32500914
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
blocked
blocked_on
data:accession_absent
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 · 0 items
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 · 0 items
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 · 1 item
[0]
step:obtain_source_data blocked on data:accession_absent
data object · 3 fields
state
partial
assets array · 4 items
[0] object · 15 fields
id
source:pmid:32500914
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1042/BSR20200442
sha256
sha256:df44a66f1330269eddc63ab9f2ba13de39792fc413377cde5ccad014fe4f9eac
bytes
24977
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1042/BSR20200442
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
PMC7327439
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 16 fields
id
asset:table:pmid:32500914:1
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:bc02065fdb26f09c077138e014acfa2ac2d0750981c2db8a44e2f3e81f187a17
bytes
513
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[8]/table-wrap[1]#T1
version
null
note
Clinical information of cohorts used in this study
structure object · 5 fields
pmcid
PMC7327439
section_index
8
section_title
Characteristics of datasets involved
row_count
8
column_count
6
table object · 8 fields
label
Table 1
caption
Clinical information of cohorts used in this study
rows array · 8 items
[0] array · 5 items
[0]
Variables
[1]
TCGA
[2]
E-MTAB-302
[3]
E-MTAB-1328
[4]
GSE41618
[1] array · 5 items
[0]
Median follow-up (months)
[1]
56
[2]
58
[3]
57
[4]
26
[2] array · 6 items
[0]
Gender
[1]
Male
[2]
225
[3]
69
[4]
75
[5]
38
[3] array · 6 items
[0]
[1]
Female
[2]
71
[3]
5
[4]
6
[5]
18
[4] array · 6 items
[0]
Age
[1]
60−
[2]
145
[3]
40
[4]
43
[5]
31
[5] array · 6 items
[0]
[1]
60+
[2]
151
[3]
34
[4]
38
[5]
25
[6] array · 6 items
[0]
Grade
[1]
4−
[2]
92
[3]
23
[4]
24
[5]
NA
[7] array · 6 items
[0]
[1]
4
[2]
204
[3]
51
[4]
57
[5]
NA
locator
section[8]/table-wrap[1]#T1
[2] object · 16 fields
id
asset:table:pmid:32500914:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:db10e514e738f9b48eaa896f19fb44818f85262bd47a5a7e113d7f425b11148b
bytes
1453
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[9]/table-wrap[1]#T2
version
null
note
Genes in the risk score
structure object · 5 fields
pmcid
PMC7327439
section_index
9
section_title
Identification of prognostic lncRNAs and model development
row_count
16
column_count
4
table object · 8 fields
label
Table 2
caption
Genes in the risk score
rows array · 16 items
[0] array · 4 items
[0]
Gene symbol
[1]
Ensembl IDs
[2]
Description
[3]
Coefficient
[1] array · 4 items
[0]
KLHDC7B
[1]
ENSG00000130487
[2]
Kelch domain containing 7B
[3]
1.37289399
[2] array · 4 items
[0]
EMC4
[1]
ENSG00000128463
[2]
ER membrane protein complex subunit 4
[3]
−0.327847579
[3] array · 4 items
[0]
AHDC1
[1]
ENSG00000126705
[2]
AT-hook DNA binding motif containing 1
[3]
0.01524505
[4] array · 4 items
[0]
PNPLA4
[1]
ENSG00000006757
[2]
Patatin-like phospholipase domain containing 4
[3]
−0.646201302
[5] array · 4 items
[0]
PEX11A
[1]
ENSG00000166821
[2]
Peroxisomal biogenesis factor 11 α
[3]
0.172110564
[6] array · 4 items
[0]
BRD4
[1]
ENSG00000141867
[2]
Bromodomain containing 4
[3]
0.068037273
[7] array · 4 items
[0]
NR1H2
[1]
ENSG00000131408
[2]
Nuclear receptor subfamily 1 group H member 2
[3]
0.731963077
[8] array · 4 items
[0]
XCR1
[1]
ENSG00000173578
[2]
X–C motif chemokine receptor 1
[3]
−0.226687207
[9] array · 4 items
[0]
NFU1
[1]
ENSG00000169599
[2]
NFU1 iron–sulfur cluster scaffold
[3]
−1.01799464
[10] array · 4 items
[0]
ORC6
[1]
ENSG00000091651
[2]
Origin recognition complex subunit 6
[3]
−0.247036767
[11] array · 4 items
[0]
AP000229.1
[1]
ENSG00000273492
[2]
Novel transcript
[3]
0.468081738
[12] array · 4 items
[0]
FAM53B
[1]
ENSG00000189319
[2]
Family with sequence similarity 53 member B
[3]
0.583104952
[13] array · 4 items
[0]
MIR4435-2HG
[1]
ENSG00000172965
[2]
MIR4435-2 host gene
[3]
0.266319204
[14] array · 4 items
[0]
PLEKHG6
[1]
ENSG00000008323
[2]
Pleckstrin homology and RhoGEF domain containing G6
[3]
0.233982315
[15] array · 4 items
[0]
ITFG1
[1]
ENSG00000129636
[2]
Integrin α FG-GAP repeat containing 1
[3]
−0.333125317
locator
section[9]/table-wrap[1]#T2
[3] object · 16 fields
id
asset:table:pmid:32500914:3
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:c2c1832baba40e330ae513e6f0dccf8f5ec954877e6ce418078c072b18112057
bytes
418
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[12]/table-wrap[1]#T3
version
null
note
Cox multivariate regression of risk score and other clinical information
structure object · 5 fields
pmcid
PMC7327439
section_index
12
section_title
Correlation between the model and clinicopathological features of HNSCC
row_count
5
column_count
4
table object · 8 fields
label
Table 3
caption
Cox multivariate regression of risk score and other clinical information
rows array · 5 items
[0] array · 4 items
[0]
[1]
HR
[2]
95% CI
[3]
P
[1] array · 4 items
[0]
Grade
[1]
1.04
[2]
0.681–1.59
[3]
0.84508
[2] array · 4 items
[0]
Gender
[1]
0.93
[2]
0.60–1.45
[3]
0.7644
[3] array · 4 items
[0]
Tumor size
[1]
1.39
[2]
1.13–1.71
[3]
0.00137
[4] array · 4 items
[0]
Risk score
[1]
0.62
[2]
0.49–0.79
[3]
0.00017
locator
section[12]/table-wrap[1]#T3
gaps array · 0 items
analysis object · 4 fields
state
complete
methods array · 3 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
log_rank_test
label
Survival analysis
dsl_operations array · 1 item
[0]
logrank_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
verbatim
quote
To estimate the survival differences between the low- and high-risk groups, the Kaplan–Meier method with a log-rank test was chosen, and P<0.05 was considered as statistically significant in this step.
[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
0.8
band
high
quote
Cox regression
[2] object · 10 fields
id
method-3
family
machine_learning
specific
random_forest
label
Machine learning
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
machine_learning_random_forest
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
labelled_feature_matrix
evidence object · 3 fields
score
0.7
band
medium
quote
random forest
targets array · 0 items
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
blocked
tier
R4
blocked_on
data:accession_absent
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
logrank_test
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: log_rank_test.
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
R4
reachable
false
accessions array · 0 items
resolved_accessions array · 0 items
statements array · 0 items
basis
The paper names no accession to its source data, so the data has to come from the authors.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
logrank_test
assets array · 4 items
[0]
source:pmid:32500914
[1]
asset:table:pmid:32500914:1
[2]
asset:table:pmid:32500914:2
[3]
asset:table:pmid:32500914:3
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:None
gaps array · 1 item
[0]
data:accession_absent
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
2026-10-31T19:03:34Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
null
calls
3
usage object · 3 fields
prompt_tokens
21317
completion_tokens
1390
cached_tokens
528
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:32500914
type
paper
label
pmid:32500914
[1] object · 3 fields
id
source:pmid:32500914
type
manuscript
label
PMID 32500914 full text
[2] object · 3 fields
id
data:geo:None
type
dataset
label
GEO None
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:32500914
type
paper
label
pmid:32500914
[1] object · 3 fields
id
source:pmid:32500914
type
manuscript
label
PMID 32500914 full text
[2] object · 3 fields
id
data:geo:None
type
dataset
label
GEO None
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-32500914
type
extraction
used array · 1 item
[0]
source:pmid:32500914
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-None
type
accession_resolution
used array · 1 item
[0]
data:geo:None
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:32500914
parent_hash
sha256:8a5250461119d21b57677818d45b90683e6e2f474fe8029ccbb2f1a8d0a4bb45
fork_of
null
gaps array · 5 items
[0]
execution.not_run
[1]
review.human_critique
[2]
review.independent_reader
[3]
review.machine_critique
[4]
step:obtain_source_data blocked on data:accession_absent
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
logrank_test
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
To estimate the survival differences between the low- and high-risk groups, the Kaplan–Meier method with a log-rank test was chosen, and P<0.05 was considered as statistically significant in this step.
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:32500914", "kind": "science-record", "revision": 7, "content_hash": "sha256:9535fa87ff1995d8a0219d23565c09e8e4641d2299de308462670d5c727706d8", "created_at": "2026-11-01T15:41:03Z", "updated_at": "2026-11-01T22:01:43Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Fifteen mRNA-lncRNA expression-based signature predicted the survival of late-staged head and neck squamous cell carcinoma.", "doi": "10.1042/BSR20200442", "pmid": "32500914", "authors": ["He Ren", "Huaping Li", "Ping Li", "Yuhui Xu", "Gang Liu", "Liping Sun"], "journal": "Bioscience reports", "year": 2020, "abstract": "BACKGROUND: Gene expression is necessary for regulation in almost all biological processes, at the same time, it is related to the prognosis for head and neck squamous cell carcinoma (HNSCC). The prognosis of late-staged HNSCC is important because of its guiding significance on the therapy strategies.\nMETHODS: In this work, we analyzed the relationship between gene expression and HNSCC in The Cancer Genome Atlas (TCGA) cohort, and optimized the panel with random forest survival analysis. Subsequently, a Cox multivariate regression-based model was developed to predict the clinical outcome of HNSCC. The performance of the model was assayed in the training cohort and validated in another three independent cohorts (GSE41614, E-TABM-302, E-MTAB-1328). The underlying pathways significantly associated with the model were identified. According to the results, patients of low-score group (median survival months: 27.4, 95% CI: 18.2-43) had a significant poor survival than those of high-score group (median survival months: 69.4, 95% CI: 58.7-72.1, P=2.7e-5), and the observation was repeatable in the other validation cohorts. Further analysis revealed that the model performed better than the other clinical indicators and is independent of these indicators.\nRESULTS: Comparison revealed that the model performed better than existing models for late HNSCC prognosis. Gene set enrichment analysis (GSEA) elucidated that the model was significantly associated with various cell processes and pathways.", "claims": [{"id": "claim-method", "statement": "To estimate the survival differences between the low- and high-risk groups, the Kaplan–Meier method with a log-rank test was chosen, and P<0.05 was considered as statistically significant in this step.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32500914", "locator": "sections[6] \"Statistical analysis\" paragraph 2", "quote": "To estimate the survival differences between the low- and high-risk groups, the Kaplan–Meier method with a log-rank test was chosen, and P<0.05 was considered as statistically significant in this step."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "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:32500914"], "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": "blocked", "blocked_on": "data:accession_absent", "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": [], "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": [], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:obtain_source_data blocked on data:accession_absent"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:32500914", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1042/BSR20200442", "sha256": "sha256:df44a66f1330269eddc63ab9f2ba13de39792fc413377cde5ccad014fe4f9eac", "bytes": 24977, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1042/BSR20200442", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7327439", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "asset:table:pmid:32500914:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:bc02065fdb26f09c077138e014acfa2ac2d0750981c2db8a44e2f3e81f187a17", "bytes": 513, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[8]/table-wrap[1]#T1", "version": null, "note": "Clinical information of cohorts used in this study", "structure": {"pmcid": "PMC7327439", "section_index": 8, "section_title": "Characteristics of datasets involved", "row_count": 8, "column_count": 6}, "table": {"label": "Table 1", "caption": "Clinical information of cohorts used in this study", "rows": [["Variables", "TCGA", "E-MTAB-302", "E-MTAB-1328", "GSE41618"], ["Median follow-up (months)", "56", "58", "57", "26"], ["Gender", "Male", "225", "69", "75", "38"], ["", "Female", "71", "5", "6", "18"], ["Age", "60−", "145", "40", "43", "31"], ["", "60+", "151", "34", "38", "25"], ["Grade", "4−", "92", "23", "24", "NA"], ["", "4", "204", "51", "57", "NA"]], "row_count": 8, "column_count": 6, "numeric_cells": 33, "header_rows": 1, "locator": "section[8]/table-wrap[1]#T1"}}, {"id": "asset:table:pmid:32500914:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:db10e514e738f9b48eaa896f19fb44818f85262bd47a5a7e113d7f425b11148b", "bytes": 1453, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[9]/table-wrap[1]#T2", "version": null, "note": "Genes in the risk score", "structure": {"pmcid": "PMC7327439", "section_index": 9, "section_title": "Identification of prognostic lncRNAs and model development", "row_count": 16, "column_count": 4}, "table": {"label": "Table 2", "caption": "Genes in the risk score", "rows": [["Gene symbol", "Ensembl IDs", "Description", "Coefficient"], ["KLHDC7B", "ENSG00000130487", "Kelch domain containing 7B", "1.37289399"], ["EMC4", "ENSG00000128463", "ER membrane protein complex subunit 4", "−0.327847579"], ["AHDC1", "ENSG00000126705", "AT-hook DNA binding motif containing 1", "0.01524505"], ["PNPLA4", "ENSG00000006757", "Patatin-like phospholipase domain containing 4", "−0.646201302"], ["PEX11A", "ENSG00000166821", "Peroxisomal biogenesis factor 11 α", "0.172110564"], ["BRD4", "ENSG00000141867", "Bromodomain containing 4", "0.068037273"], ["NR1H2", "ENSG00000131408", "Nuclear receptor subfamily 1 group H member 2", "0.731963077"], ["XCR1", "ENSG00000173578", "X–C motif chemokine receptor 1", "−0.226687207"], ["NFU1", "ENSG00000169599", "NFU1 iron–sulfur cluster scaffold", "−1.01799464"], ["ORC6", "ENSG00000091651", "Origin recognition complex subunit 6", "−0.247036767"], ["AP000229.1", "ENSG00000273492", "Novel transcript", "0.468081738"], ["FAM53B", "ENSG00000189319", "Family with sequence similarity 53 member B", "0.583104952"], ["MIR4435-2HG", "ENSG00000172965", "MIR4435-2 host gene", "0.266319204"], ["PLEKHG6", "ENSG00000008323", "Pleckstrin homology and RhoGEF domain containing G6", "0.233982315"], ["ITFG1", "ENSG00000129636", "Integrin α FG-GAP repeat containing 1", "−0.333125317"]], "row_count": 16, "column_count": 4, "numeric_cells": 46, "header_rows": 1, "locator": "section[9]/table-wrap[1]#T2"}}, {"id": "asset:table:pmid:32500914:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:c2c1832baba40e330ae513e6f0dccf8f5ec954877e6ce418078c072b18112057", "bytes": 418, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[12]/table-wrap[1]#T3", "version": null, "note": "Cox multivariate regression of risk score and other clinical information", "structure": {"pmcid": "PMC7327439", "section_index": 12, "section_title": "Correlation between the model and clinicopathological features of HNSCC", "row_count": 5, "column_count": 4}, "table": {"label": "Table 3", "caption": "Cox multivariate regression of risk score and other clinical information", "rows": [["", "HR", "95% CI", "P"], ["Grade", "1.04", "0.681–1.59", "0.84508"], ["Gender", "0.93", "0.60–1.45", "0.7644"], ["Tumor size", "1.39", "1.13–1.71", "0.00137"], ["Risk score", "0.62", "0.49–0.79", "0.00017"]], "row_count": 5, "column_count": 4, "numeric_cells": 13, "header_rows": 1, "locator": "section[12]/table-wrap[1]#T3"}}], "gaps": []}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "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": 1.0, "band": "verbatim", "quote": "To estimate the survival differences between the low- and high-risk groups, the Kaplan–Meier method with a log-rank test was chosen, and P<0.05 was considered as statistically significant in this step."}}, {"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": 0.8, "band": "high", "quote": "Cox regression"}}, {"id": "method-3", "family": "machine_learning", "specific": "random_forest", "label": "Machine learning", "dsl_operations": [], "missing_operations": ["machine_learning_random_forest"], "expressible": false, "parameters": {}, "data_shapes": ["labelled_feature_matrix"], "evidence": {"score": 0.7, "band": "medium", "quote": "random forest"}}], "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": "blocked", "tier": "R4", "blocking_axis": "data", "blocked_on": "data:accession_absent", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["logrank_test"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: log_rank_test."}, "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": "R4", "reachable": false, "accessions": [], "resolved_accessions": [], "statements": [], "basis": "The paper names no accession to its source data, so the data has to come from the authors."}}, "can_run": {"dsl_operations": ["logrank_test"], "assets": ["source:pmid:32500914", "asset:table:pmid:32500914:1", "asset:table:pmid:32500914:2", "asset:table:pmid:32500914:3"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:None"]}, "gaps": ["data:accession_absent"]}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T19:03:34Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": null}, "calls": 3, "usage": {"prompt_tokens": 21317, "completion_tokens": 1390, "cached_tokens": 528}}, "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:32500914", "type": "paper", "label": "pmid:32500914"}, {"id": "source:pmid:32500914", "type": "manuscript", "label": "PMID 32500914 full text"}, {"id": "data:geo:None", "type": "dataset", "label": "GEO None"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:32500914", "type": "paper", "label": "pmid:32500914"}, {"id": "source:pmid:32500914", "type": "manuscript", "label": "PMID 32500914 full text"}, {"id": "data:geo:None", "type": "dataset", "label": "GEO None"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-32500914", "type": "extraction", "used": ["source:pmid:32500914"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-None", "type": "accession_resolution", "used": ["data:geo:None"], "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:32500914", "parent_hash": "sha256:8a5250461119d21b57677818d45b90683e6e2f474fe8029ccbb2f1a8d0a4bb45", "fork_of": null, "generation": 6}, "gaps": ["execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique", "step:obtain_source_data blocked on data:accession_absent"], "assays": [{"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["logrank_test"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["To estimate the survival differences between the low- and high-risk groups, the Kaplan–Meier method with a log-rank test was chosen, and P<0.05 was considered as statistically significant in this step."], "order_basis": "analysis_only", "id": "assay:1"}]}