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

pmid:34568046

Comprehensive Analysis of the Immune Infiltrates of Pyroptosis in Kidney Renal Clear Cell Carcinoma.

Zhuolun Sun · Changying Jing · Xudong Guo · Mingxiao Zhang · Feng Kong · Zhenqing Wang · Shaobo Jiang · Hanbo Wang

Frontiers in oncology · 2021 doi:10.3389/fonc.2021.716854

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:34568046
kind
science-record
content_hash
sha256:58b2a8a93401f41343d12490ba8de1b9387deedf02bb20f317340487313a367c
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:41:54Z
updated_at
2026-11-01T22:47:35Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Comprehensive Analysis of the Immune Infiltrates of Pyroptosis in Kidney Renal Clear Cell Carcinoma.
doi
10.3389/fonc.2021.716854
pmid
34568046
authors array · 8 items
[0]
Zhuolun Sun
[1]
Changying Jing
[2]
Xudong Guo
[3]
Mingxiao Zhang
[4]
Feng Kong
[5]
Zhenqing Wang
[6]
Shaobo Jiang
[7]
Hanbo Wang
journal
Frontiers in oncology
year
2021
abstract
Kidney renal clear cell carcinoma (KIRC) has long been identified as a highly immune-infiltrated tumor. However, the underlying role of pyroptosis in the tumor microenvironment (TME) of KIRC remains poorly described. Herein, we systematically analyzed the prognostic value, role in the TME, response to ICIs, and drug sensitivity of pyroptosis-related genes (PRGs) in KIRC patients based on The Cancer Genome Atlas (TCGA) database. Cluster 2, by consensus clustering for 24 PRGs, presented a poor prognosis, likely because malignancy-related hallmarks were remarkably enriched. Additionally, we constructed a prognostic prediction model that discriminated well between high- and low-risk patients and was further confirmed in external E-MTAB-1980 cohort and HSP cohort. By further analyzing the TME based on the risk model, higher immune cell infiltration and lower tumor purity were found in the high-risk group, which presented a poor prognosis. Patients with high risk scores also exhibited higher ICI expression, indicating that these patients may be more prone to profit from ICIs. The sensitivity to anticancer drugs that correlated with model-related genes was also identified. Collectively, the pyroptosis-related prognosis risk model may improve prognostic information and provide directions for current research investigations on immunotherapeutic strategies for KIRC patients.
claims array · 2 items
[0] object · 6 fields
id
claim-method
statement
Kaplan-Meier analysis was used to evaluate OS, and the log-rank test was used to compare the OS between groups.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:34568046
locator
sections[12] "Statistical Analysis" paragraph 2
quote
Kaplan-Meier analysis was used to evaluate OS, and the log-rank test was used to compare the OS between groups.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
Publicly available datasets were analyzed in this study. This data can be found here: TCGA (https://tcga-data.nci.nih.gov/tcga/), ArrayExpress (https://www.ebi.ac.uk/arrayexpress/), TIMER (https://cistrome.shinyapps.io/timer/), and GDSC (https://www.cancerrxgene.org/) websites.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:34568046
locator
sections[24] "Data Availability Statement" paragraph 2
quote
Publicly available datasets were analyzed in this study. This data can be found here: TCGA (https://tcga-data.nci.nih.gov/tcga/), ArrayExpress (https://www.ebi.ac.uk/arrayexpress/), TIMER (https://cistrome.shinyapps.io/timer/), and GDSC (https://www.cancerrxgene.org/) websites.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
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:34568046
outputs array · 1 item
[0]
the published estimate and its evidence
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
id
obtain_source_data
order
2
name
Obtain the source data from the named repository
kind
data-preparation
state
complete
blocked_on
null
description
The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:E-MTAB-1980
outputs array · 1 item
[0]
the source data with its repository provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
id
run_analysis
order
3
name
Run the published analysis
kind
analysis
state
complete
blocked_on
null
description
Apply the paper's statistical method to the resolved series and compare the result with the published target.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:E-MTAB-1980
outputs array · 1 item
[0]
the replicated result and its comparison
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
state
partial
assets array · 4 items
[0] object · 15 fields
id
source:pmid:34568046
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.3389/fonc.2021.716854
sha256
sha256:c5e0b3998db7dbef75d697dc12fedfe66a14f68076442f845c8b3d565eaceee1
bytes
50878
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.3389/fonc.2021.716854
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
PMC8459616
source
europe_pmc_fulltext
coverage
whole_body_without_references
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:E-MTAB-1980
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=E-MTAB-1980
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
E-MTAB-1980
version
null
note
Publicly available datasets were analyzed in this study. This data can be found here: TCGA (https://tcga-data.nci.nih.gov/tcga/), ArrayExpress (https://www.ebi.ac.uk/arrayexpress/), TIMER (https://cistrome.shinyapps.io/timer/), and GDSC (https://www.cancerrxgene.org/) websites.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Publicly available datasets were analyzed in this study. This data can be found here: TCGA (https://tcga-data.nci.nih.gov/tcga/), ArrayExpress (https://www.ebi.ac.uk/arrayexpress/), TIMER (https://cistrome.shinyapps.io/timer/), and GDSC (https://www.cancerrxgene.org/) websites.
access_statement_kind
data_availability_statement
sample_accessions array · 0 items
sample_count
null
group_sizes
null
group_sizes_basis
null
platform
null
taxon
null
title
null
resolution_checked_at
2026-10-31T18:28:57Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 16 fields
id
asset:table:pmid:34568046:1
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:2fc96313d20d8b1862aa4e775f5d36d62b4a10d4dd738aabe021548083bfb3d8
bytes
1534
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[3]/table-wrap[1]#d31e284
version
null
note
Characteristics of all patients included in this study.
structure object · 5 fields
pmcid
PMC8459616
section_index
3
section_title
Data Source
row_count
33
column_count
4
table object · 8 fields
label
Table 1
caption
Characteristics of all patients included in this study.
rows array · 33 items
[0] array · 4 items
[0]
Variable
[1]
Training cohort (n = 317)
[2]
Testing cohort (n = 208)
[3]
Entire cohort (n = 525)
[1] array · 3 items
[0]
Number (%)
[1]
Number (%)
[2]
Number (%)
[2] array · 4 items
[0]
Age
[1]
[2]
[3]
[3] array · 4 items
[0]
≤60
[1]
158(49.84)
[2]
106(50.96)
[3]
264(50.29)
[4] array · 4 items
[0]
>60
[1]
159(50.16)
[2]
102(49.04)
[3]
261(49.71)
[5] array · 4 items
[0]
Gender
[1]
[2]
[3]
[6] array · 4 items
[0]
Female
[1]
109(34.38)
[2]
73(35.1)
[3]
182(34.67)
[7] array · 4 items
[0]
Male
[1]
208(65.62)
[2]
135(64.9)
[3]
343(65.33)
[8] array · 4 items
[0]
Grade
[1]
[2]
[3]
[9] array · 4 items
[0]
G1
[1]
8(2.52)
[2]
5(2.40)
[3]
13(2.48)
[10] array · 4 items
[0]
G2
[1]
131(41.32)
[2]
95(46.67)
[3]
226(43.05)
[11] array · 4 items
[0]
G3
[1]
127(40.06)
[2]
77(37.02)
[3]
204(38.86)
[12] array · 4 items
[0]
G4
[1]
47(14.83)
[2]
27(12.98)
[3]
74(14.10)
[13] array · 4 items
[0]
unknow
[1]
4(1.26)
[2]
4(1.92)
[3]
8(1.52)
[14] array · 4 items
[0]
AJCC stage
[1]
[2]
[3]
[15] array · 4 items
[0]
I
[1]
147(46.37)
[2]
114(71.28)
[3]
26149.71)
[16] array · 4 items
[0]
II
[1]
42(13.25)
[2]
14(6.73)
[3]
56(10.67)
[17] array · 4 items
[0]
III
[1]
75(23.66)
[2]
48(23.08)
[3]
123(23.43)
[18] array · 4 items
[0]
IV
[1]
52(16.40)
[2]
30(14.42)
[3]
82(15.62)
[19] array · 4 items
[0]
unknow
[1]
1(0.32)
[2]
2(0.96)
[3]
3(0.57)
[20] array · 4 items
[0]
T stage
[1]
[2]
[3]
[21] array · 4 items
[0]
T1
[1]
150(47.32)
[2]
117(56.25)
[3]
267(50.86)
[22] array · 4 items
[0]
T2
[1]
49(15.46)
[2]
19(9.13)
[3]
68(12.95)
[23] array · 4 items
[0]
T3
[1]
111(35.02)
[2]
68(23.69)
[3]
179(34.1)
[24] array · 4 items
[0]
T4
[1]
7(2.21)
[2]
4(1.92)
[3]
11(2.10)
[25] array · 4 items
[0]
N stage
[1]
[2]
[3]
[26] array · 4 items
[0]
N0
[1]
138(43.53)
[2]
99(47.6)
[3]
237(45.14)
[27] array · 4 items
[0]
N1-3
[1]
11(3.47)
[2]
5(2.4)
[3]
16(3.05)
[28] array · 4 items
[0]
unknow
[1]
168(53)
[2]
104(50)
[3]
272(51.81)
[29] array · 4 items
[0]
M stage
[1]
[2]
[3]
[30] array · 4 items
[0]
M0
[1]
252(79.5)
[2]
165(79.33)
[3]
417(79.43)
[31] array · 4 items
[0]
M1
[1]
49(15.46)
[2]
29(13.94)
[3]
78(14.86)
[32] array · 4 items
[0]
unknow
[1]
16(5.05)
[2]
14(3.76)
[3]
30(5.71)
locator
section[3]/table-wrap[1]#d31e284
[3] object · 16 fields
id
asset:table:pmid:34568046:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:6b427bd847b7a3540150e17606d366d378d4c1b1d68e060b33164a9f51cad8e2
bytes
1117
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[3]/table-wrap[2]#d31e581
version
null
note
null
structure object · 5 fields
pmcid
PMC8459616
section_index
3
section_title
Data Source
row_count
33
column_count
3
table object · 8 fields
label
null
caption
null
rows array · 33 items
[0] array · 3 items
[0]
Variable
[1]
E-MTAB-1980 cohort (n = 101)
[2]
HSP cohort (n = 186)
[1] array · 2 items
[0]
Number (%)
[1]
Number (%)
[2] array · 3 items
[0]
Age
[1]
[2]
[3] array · 3 items
[0]
≤60
[1]
44(41.90)
[2]
132(70.96)
[4] array · 3 items
[0]
>60
[1]
57(58.10)
[2]
54(29.04)
[5] array · 3 items
[0]
Gender
[1]
[2]
[6] array · 3 items
[0]
Female
[1]
24(23.76)
[2]
121(65.05)
[7] array · 3 items
[0]
Male
[1]
77(76.24)
[2]
55(34.95)
[8] array · 3 items
[0]
Grade
[1]
[2]
[9] array · 3 items
[0]
G1
[1]
13(12.87)
[2]
44(23.66)
[10] array · 3 items
[0]
G2
[1]
59(58.41)
[2]
102(54.84)
[11] array · 3 items
[0]
G3
[1]
22(21.78)
[2]
28(15.05)
[12] array · 3 items
[0]
G4
[1]
5(4.96)
[2]
12(6.45)
[13] array · 3 items
[0]
unknow
[1]
0(0.00)
[2]
0(0.00)
[14] array · 3 items
[0]
AJCC stage
[1]
[2]
[15] array · 3 items
[0]
I
[1]
66(64.35)
[2]
102(54.54)
[16] array · 3 items
[0]
II
[1]
10(9.90)
[2]
36(19.36)
[17] array · 3 items
[0]
III
[1]
13(12.87)
[2]
24(12.90)
[18] array · 3 items
[0]
IV
[1]
12(11.88)
[2]
24(12.90)
[19] array · 3 items
[0]
unknow
[1]
0(0.00)
[2]
0(0.00)
[20] array · 3 items
[0]
T stage
[1]
[2]
[21] array · 3 items
[0]
T1
[1]
68(67.33)
[2]
110(59.14)
[22] array · 3 items
[0]
T2
[1]
11(10.89)
[2]
42(22.58)
[23] array · 3 items
[0]
T3
[1]
21(20.79)
[2]
25(13.44)
[24] array · 3 items
[0]
T4
[1]
1(0.99)
[2]
9(4.84)
[25] array · 3 items
[0]
N stage
[1]
[2]
[26] array · 3 items
[0]
N0
[1]
11(90.10)
[2]
176(94.62)
[27] array · 3 items
[0]
N1-3
[1]
10(9.90)
[2]
10(5.38)
[28] array · 3 items
[0]
unknow
[1]
0(0.00)
[2]
0(0.00)
[29] array · 3 items
[0]
M stage
[1]
[2]
[30] array · 3 items
[0]
M0
[1]
94(93.07)
[2]
171(91.94)
[31] array · 3 items
[0]
M1
[1]
7(6.93)
[2]
15(8.06)
[32] array · 3 items
[0]
unknow
[1]
0(0.00)
[2]
0(0.00)
locator
section[3]/table-wrap[2]#d31e581
gaps array · 2 items
[0]
asset:data:geo:E-MTAB-1980 not downloaded
[1]
asset:data:geo:E-MTAB-1980 licence not read
analysis object · 4 fields
state
partial
methods array · 7 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
Kaplan-Meier analysis was used to evaluate OS, and the log-rank test was used to compare the OS between groups.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
mann_whitney
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_mann_whitney
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
Mann-Whitney
[2] object · 10 fields
id
method-3
family
group_comparison
specific
wilcoxon
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_wilcoxon
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
Wilcoxon
[3] object · 10 fields
id
method-4
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
[4] object · 10 fields
id
method-5
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
0.8
band
high
quote
log-rank
[5] object · 10 fields
id
method-6
family
principal_component_analysis
specific
pca
label
Principal component analysis
dsl_operations array · 1 item
[0]
pca_fit
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
wide_numeric_matrix
evidence object · 3 fields
score
0.8
band
high
quote
PCA
[6] object · 10 fields
id
method-7
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
targets array · 0 items
gaps array · 1 item
[0]
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]
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 · 1 item
[0]
E-MTAB-1980
resolved_accessions array · 1 item
[0]
E-MTAB-1980
statements array · 1 item
[0]
Publicly available datasets were analyzed in this study. This data can be found here: TCGA (https://tcga-data.nci.nih.gov/tcga/), ArrayExpress (https://www.ebi.ac.uk/arrayexpress/), TIMER (https://cistrome.shinyapps.io/timer/), and GDSC (https://www.cancerrxgene.org/) websites.
basis
The paper names E-MTAB-1980 in ArrayExpress 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 · 4 items
[0]
source:pmid:34568046
[1]
data:geo:E-MTAB-1980
[2]
asset:table:pmid:34568046:1
[3]
asset:table:pmid:34568046:2
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:E-MTAB-1980
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
2026-10-31T18:35:16Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
37440
completion_tokens
3248
cached_tokens
792
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:34568046
type
paper
label
pmid:34568046
[1] object · 3 fields
id
source:pmid:34568046
type
manuscript
label
PMID 34568046 full text
[2] object · 3 fields
id
data:geo:E-MTAB-1980
type
dataset
label
GEO E-MTAB-1980
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:34568046
type
paper
label
pmid:34568046
[1] object · 3 fields
id
source:pmid:34568046
type
manuscript
label
PMID 34568046 full text
[2] object · 3 fields
id
data:geo:E-MTAB-1980
type
dataset
label
GEO E-MTAB-1980
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-34568046
type
extraction
used array · 1 item
[0]
source:pmid:34568046
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-E-MTAB-1980
type
accession_resolution
used array · 1 item
[0]
data:geo:E-MTAB-1980
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:34568046
parent_hash
sha256:dfdca111a069d6318c5680761fa57841adfec80fe22d0453f902d0234dd1fa75
fork_of
null
gaps array · 7 items
[0]
asset:data:geo:E-MTAB-1980 licence not read
[1]
asset:data:geo:E-MTAB-1980 not downloaded
[2]
execution.not_run
[3]
method.reader_differs_from_extractor
[4]
review.human_critique
[5]
review.independent_reader
[6]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_id
apoptosis_assay
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.77
evidence array · 1 item
[0]
ta, PID gene sets, including the cell cycle, caspase pathway, Myc pathway were also related to th
order_basis
paper_text_order:7346
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
survival_km
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Kaplan-Meier analysis was used to evaluate OS, and the log-rank test was used to compare the OS between groups.
order_basis
consumes_earlier_output
id
assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34568046", "kind": "science-record", "revision": 8, "content_hash": "sha256:58b2a8a93401f41343d12490ba8de1b9387deedf02bb20f317340487313a367c", "created_at": "2026-11-01T15:41:54Z", "updated_at": "2026-11-01T22:47:35Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Comprehensive Analysis of the Immune Infiltrates of Pyroptosis in Kidney Renal Clear Cell Carcinoma.", "doi": "10.3389/fonc.2021.716854", "pmid": "34568046", "authors": ["Zhuolun Sun", "Changying Jing", "Xudong Guo", "Mingxiao Zhang", "Feng Kong", "Zhenqing Wang", "Shaobo Jiang", "Hanbo Wang"], "journal": "Frontiers in oncology", "year": 2021, "abstract": "Kidney renal clear cell carcinoma (KIRC) has long been identified as a highly immune-infiltrated tumor. However, the underlying role of pyroptosis in the tumor microenvironment (TME) of KIRC remains poorly described. Herein, we systematically analyzed the prognostic value, role in the TME, response to ICIs, and drug sensitivity of pyroptosis-related genes (PRGs) in KIRC patients based on The Cancer Genome Atlas (TCGA) database. Cluster 2, by consensus clustering for 24 PRGs, presented a poor prognosis, likely because malignancy-related hallmarks were remarkably enriched. Additionally, we constructed a prognostic prediction model that discriminated well between high- and low-risk patients and was further confirmed in external E-MTAB-1980 cohort and HSP cohort. By further analyzing the TME based on the risk model, higher immune cell infiltration and lower tumor purity were found in the high-risk group, which presented a poor prognosis. Patients with high risk scores also exhibited higher ICI expression, indicating that these patients may be more prone to profit from ICIs. The sensitivity to anticancer drugs that correlated with model-related genes was also identified. Collectively, the pyroptosis-related prognosis risk model may improve prognostic information and provide directions for current research investigations on immunotherapeutic strategies for KIRC patients.", "claims": [{"id": "claim-method", "statement": "Kaplan-Meier analysis was used to evaluate OS, and the log-rank test was used to compare the OS between groups.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34568046", "locator": "sections[12] \"Statistical Analysis\" paragraph 2", "quote": "Kaplan-Meier analysis was used to evaluate OS, and the log-rank test was used to compare the OS between groups."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Publicly available datasets were analyzed in this study. This data can be found here: TCGA (https://tcga-data.nci.nih.gov/tcga/), ArrayExpress (https://www.ebi.ac.uk/arrayexpress/), TIMER (https://cistrome.shinyapps.io/timer/), and GDSC (https://www.cancerrxgene.org/) websites.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34568046", "locator": "sections[24] \"Data Availability Statement\" paragraph 2", "quote": "Publicly available datasets were analyzed in this study. This data can be found here: TCGA (https://tcga-data.nci.nih.gov/tcga/), ArrayExpress (https://www.ebi.ac.uk/arrayexpress/), TIMER (https://cistrome.shinyapps.io/timer/), and GDSC (https://www.cancerrxgene.org/) websites."}], "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:34568046"], "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:E-MTAB-1980"], "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:E-MTAB-1980"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34568046", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fonc.2021.716854", "sha256": "sha256:c5e0b3998db7dbef75d697dc12fedfe66a14f68076442f845c8b3d565eaceee1", "bytes": 50878, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fonc.2021.716854", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8459616", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:E-MTAB-1980", "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=E-MTAB-1980", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "E-MTAB-1980", "version": null, "note": "Publicly available datasets were analyzed in this study. This data can be found here: TCGA (https://tcga-data.nci.nih.gov/tcga/), ArrayExpress (https://www.ebi.ac.uk/arrayexpress/), TIMER (https://cistrome.shinyapps.io/timer/), and GDSC (https://www.cancerrxgene.org/) websites.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Publicly available datasets were analyzed in this study. This data can be found here: TCGA (https://tcga-data.nci.nih.gov/tcga/), ArrayExpress (https://www.ebi.ac.uk/arrayexpress/), TIMER (https://cistrome.shinyapps.io/timer/), and GDSC (https://www.cancerrxgene.org/) websites.", "access_statement_kind": "data_availability_statement", "sample_accessions": [], "sample_count": null, "group_sizes": null, "group_sizes_basis": null, "platform": null, "taxon": null, "title": null, "resolution_checked_at": "2026-10-31T18:28:57Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:34568046:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:2fc96313d20d8b1862aa4e775f5d36d62b4a10d4dd738aabe021548083bfb3d8", "bytes": 1534, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[3]/table-wrap[1]#d31e284", "version": null, "note": "Characteristics of all patients included in this study.", "structure": {"pmcid": "PMC8459616", "section_index": 3, "section_title": "Data Source", "row_count": 33, "column_count": 4}, "table": {"label": "Table 1", "caption": "Characteristics of all patients included in this study.", "rows": [["Variable", "Training cohort (n = 317)", "Testing cohort (n = 208)", "Entire cohort (n = 525)"], ["Number (%)", "Number (%)", "Number (%)"], ["Age", "", "", ""], ["≤60", "158(49.84)", "106(50.96)", "264(50.29)"], [">60", "159(50.16)", "102(49.04)", "261(49.71)"], ["Gender", "", "", ""], ["Female", "109(34.38)", "73(35.1)", "182(34.67)"], ["Male", "208(65.62)", "135(64.9)", "343(65.33)"], ["Grade", "", "", ""], ["G1", "8(2.52)", "5(2.40)", "13(2.48)"], ["G2", "131(41.32)", "95(46.67)", "226(43.05)"], ["G3", "127(40.06)", "77(37.02)", "204(38.86)"], ["G4", "47(14.83)", "27(12.98)", "74(14.10)"], ["unknow", "4(1.26)", "4(1.92)", "8(1.52)"], ["AJCC stage", "", "", ""], ["I", "147(46.37)", "114(71.28)", "26149.71)"], ["II", "42(13.25)", "14(6.73)", "56(10.67)"], ["III", "75(23.66)", "48(23.08)", "123(23.43)"], ["IV", "52(16.40)", "30(14.42)", "82(15.62)"], ["unknow", "1(0.32)", "2(0.96)", "3(0.57)"], ["T stage", "", "", ""], ["T1", "150(47.32)", "117(56.25)", "267(50.86)"], ["T2", "49(15.46)", "19(9.13)", "68(12.95)"], ["T3", "111(35.02)", "68(23.69)", "179(34.1)"], ["T4", "7(2.21)", "4(1.92)", "11(2.10)"], ["N stage", "", "", ""], ["N0", "138(43.53)", "99(47.6)", "237(45.14)"], ["N1-3", "11(3.47)", "5(2.4)", "16(3.05)"], ["unknow", "168(53)", "104(50)", "272(51.81)"], ["M stage", "", "", ""], ["M0", "252(79.5)", "165(79.33)", "417(79.43)"], ["M1", "49(15.46)", "29(13.94)", "78(14.86)"], ["unknow", "16(5.05)", "14(3.76)", "30(5.71)"]], "row_count": 33, "column_count": 4, "numeric_cells": 78, "header_rows": 2, "locator": "section[3]/table-wrap[1]#d31e284"}}, {"id": "asset:table:pmid:34568046:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:6b427bd847b7a3540150e17606d366d378d4c1b1d68e060b33164a9f51cad8e2", "bytes": 1117, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[3]/table-wrap[2]#d31e581", "version": null, "note": null, "structure": {"pmcid": "PMC8459616", "section_index": 3, "section_title": "Data Source", "row_count": 33, "column_count": 3}, "table": {"label": null, "caption": null, "rows": [["Variable", "E-MTAB-1980 cohort (n = 101)", "HSP cohort (n = 186)"], ["Number (%)", "Number (%)"], ["Age", "", ""], ["≤60", "44(41.90)", "132(70.96)"], [">60", "57(58.10)", "54(29.04)"], ["Gender", "", ""], ["Female", "24(23.76)", "121(65.05)"], ["Male", "77(76.24)", "55(34.95)"], ["Grade", "", ""], ["G1", "13(12.87)", "44(23.66)"], ["G2", "59(58.41)", "102(54.84)"], ["G3", "22(21.78)", "28(15.05)"], ["G4", "5(4.96)", "12(6.45)"], ["unknow", "0(0.00)", "0(0.00)"], ["AJCC stage", "", ""], ["I", "66(64.35)", "102(54.54)"], ["II", "10(9.90)", "36(19.36)"], ["III", "13(12.87)", "24(12.90)"], ["IV", "12(11.88)", "24(12.90)"], ["unknow", "0(0.00)", "0(0.00)"], ["T stage", "", ""], ["T1", "68(67.33)", "110(59.14)"], ["T2", "11(10.89)", "42(22.58)"], ["T3", "21(20.79)", "25(13.44)"], ["T4", "1(0.99)", "9(4.84)"], ["N stage", "", ""], ["N0", "11(90.10)", "176(94.62)"], ["N1-3", "10(9.90)", "10(5.38)"], ["unknow", "0(0.00)", "0(0.00)"], ["M stage", "", ""], ["M0", "94(93.07)", "171(91.94)"], ["M1", "7(6.93)", "15(8.06)"], ["unknow", "0(0.00)", "0(0.00)"]], "row_count": 33, "column_count": 3, "numeric_cells": 53, "header_rows": 2, "locator": "section[3]/table-wrap[2]#d31e581"}}], "gaps": ["asset:data:geo:E-MTAB-1980 not downloaded", "asset:data:geo:E-MTAB-1980 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": "verbatim", "quote": "Kaplan-Meier analysis was used to evaluate OS, and the log-rank test was used to compare the OS between groups."}}, {"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": "group_comparison", "specific": "wilcoxon", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["group_comparison_wilcoxon"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "Wilcoxon"}}, {"id": "method-4", "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-5", "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": 0.8, "band": "high", "quote": "log-rank"}}, {"id": "method-6", "family": "principal_component_analysis", "specific": "pca", "label": "Principal component analysis", "dsl_operations": ["pca_fit"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["wide_numeric_matrix"], "evidence": {"score": 0.8, "band": "high", "quote": "PCA"}}, {"id": "method-7", "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": ["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. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["E-MTAB-1980"], "resolved_accessions": ["E-MTAB-1980"], "statements": ["Publicly available datasets were analyzed in this study. This data can be found here: TCGA (https://tcga-data.nci.nih.gov/tcga/), ArrayExpress (https://www.ebi.ac.uk/arrayexpress/), TIMER (https://cistrome.shinyapps.io/timer/), and GDSC (https://www.cancerrxgene.org/) websites."], "basis": "The paper names E-MTAB-1980 in ArrayExpress 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:34568046", "data:geo:E-MTAB-1980", "asset:table:pmid:34568046:1", "asset:table:pmid:34568046:2"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:E-MTAB-1980"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:35:16Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 3, "usage": {"prompt_tokens": 37440, "completion_tokens": 3248, "cached_tokens": 792}}, "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:34568046", "type": "paper", "label": "pmid:34568046"}, {"id": "source:pmid:34568046", "type": "manuscript", "label": "PMID 34568046 full text"}, {"id": "data:geo:E-MTAB-1980", "type": "dataset", "label": "GEO E-MTAB-1980"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:34568046", "type": "paper", "label": "pmid:34568046"}, {"id": "source:pmid:34568046", "type": "manuscript", "label": "PMID 34568046 full text"}, {"id": "data:geo:E-MTAB-1980", "type": "dataset", "label": "GEO E-MTAB-1980"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-34568046", "type": "extraction", "used": ["source:pmid:34568046"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-E-MTAB-1980", "type": "accession_resolution", "used": ["data:geo:E-MTAB-1980"], "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:34568046", "parent_hash": "sha256:dfdca111a069d6318c5680761fa57841adfec80fe22d0453f902d0234dd1fa75", "fork_of": null, "generation": 7}, "gaps": ["asset:data:geo:E-MTAB-1980 licence not read", "asset:data:geo:E-MTAB-1980 not downloaded", "execution.not_run", "method.reader_differs_from_extractor", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "apoptosis_assay", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.77, "evidence": ["ta, PID gene sets, including the cell cycle, caspase pathway, Myc pathway were also related to th"], "order_basis": "paper_text_order:7346", "id": "assay:1"}, {"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": ["Kaplan-Meier analysis was used to evaluate OS, and the log-rank test was used to compare the OS between groups."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}