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pmid:41614853

A PDCD4-Based Gene Expression Signature Predicts Overall Survival in Renal Cell Carcinoma: A TCGA-Based Discovery and External Validation Study.

Bandar A Suliman

Current issues in molecular biology · 2025 doi:10.3390/cimb48010022

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

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title
A PDCD4-Based Gene Expression Signature Predicts Overall Survival in Renal Cell Carcinoma: A TCGA-Based Discovery and External Validation Study.
doi
10.3390/cimb48010022
pmid
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Bandar A Suliman
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Current issues in molecular biology
year
2025
abstract
Renal cell carcinoma (RCC) is a heterogeneous disease with variable clinical outcomes. PDCD4 functions as a tumor suppressor, but its role in RCC prognosis remains unclear. We aimed to develop and validate a PDCD4-based gene expression signature for predicting overall survival in RCC. We analyzed RNA-seq data from 541 clear cell RCC patients in The Cancer Genome Atlas (TCGA-KIRC). We identified 100 genes (50 positively and 50 negatively correlated with PDCD4) to create a prognostic signature. Patients were stratified into high- and low-signature groups using median cutoff. Kaplan-Meier analysis and Cox regression models assessed prognostic value. External validation was performed in four independent cohorts: GSE29609, GSE73731, GSE53757, and GSE40435. Low PDCD4 signature scores were associated with significantly worse overall survival (HR = 2.17, 95% CI: 1.58-2.98, p < 0.001) and advanced tumor stage. The median survival difference was approximately 46 months. In multivariate analysis adjusting for age, gender, stage, and grade, the signature remained an independent prognostic factor (HR = 1.57, 95% CI: 1.11-2.22, p = 0.011). The signature demonstrated consistent prognostic patterns across platforms, with high signature scores associated with early-stage disease and low-grade tumors, and with potential clinical utility for risk stratification and treatment planning.
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Kaplan–Meier analysis and Cox regression models assessed prognostic value.
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Kaplan–Meier analysis and Cox regression models assessed prognostic value.
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All data used in this study are publicly available. TCGA-KIRC data can be accessed through the Genomic Data Commons Portal (https://portal.gdc.cancer.gov/, accessed on 11 November 2025, Project ID: TCGA-KIRC). The GSE datasets are available from the Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?, accessed on 11 November 2025). All analysis code and processed data files are available from the corresponding author upon reasonable request.
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All data used in this study are publicly available. TCGA-KIRC data can be accessed through the Genomic Data Commons Portal (https://portal.gdc.cancer.gov/, accessed on 11 November 2025, Project ID: TCGA-KIRC). The GSE datasets are available from the Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?, accessed on 11 November 2025). All analysis code and processed data files are available from the corresponding author upon reasonable request.
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Low PDCD4 signature scores were associated with significantly worse overall survival (HR = 2.17, 95% CI: 1.58–2.98, p < 0.001) and advanced tumor stage.
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Low PDCD4 signature scores were associated with significantly worse overall survival (HR = 2.17, 95% CI: 1.58–2.98, p < 0.001) and advanced tumor stage.
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Low PDCD4 signature scores were associated with significantly worse overall survival (HR = 2.17, 95% CI: 1.58–2.98, p < 0.001) and advanced tumor stage.
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Low PDCD4 signature scores were associated with significantly worse overall survival (HR = 2.17, 95% CI: 1.58–2.98, p < 0.001) and advanced tumor stage.
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GSM1300203
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GSM1300204
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GSM1300205
sample_count
144
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Gene array analysis of clear cell renal cell carcinoma tissue versus matched normal kidney tissue
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[4] object · 15 fields
id
data:geo:GSE73731
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=GSE73731
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE73731
version
null
note
All data used in this study are publicly available. TCGA-KIRC data can be accessed through the Genomic Data Commons Portal (https://portal.gdc.cancer.gov/, accessed on 11 November 2025, Project ID: TCGA-KIRC). The GSE datasets are available from the Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?, accessed on 11 November 2025). All analysis code and processed data files are available from the corresponding author upon reasonable request.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
All data used in this study are publicly available. TCGA-KIRC data can be accessed through the Genomic Data Commons Portal (https://portal.gdc.cancer.gov/, accessed on 11 November 2025, Project ID: TCGA-KIRC). The GSE datasets are available from the Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?, accessed on 11 November 2025). All analysis code and processed data files are available from the corresponding author upon reasonable request.
access_statement_kind
data_availability_statement
sample_accessions array · 265 items
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GSM1930996
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GSM1931031
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GSM1931100
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[110]
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[130]
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GSM1931260
sample_count
265
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Clear cell renal cell carcinoma (ccRCC) samples
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 8 items
[0]
asset:data:geo:GSE29609 not downloaded
[1]
asset:data:geo:GSE29609 licence not read
[2]
asset:data:geo:GSE40435 not downloaded
[3]
asset:data:geo:GSE40435 licence not read
[4]
asset:data:geo:GSE53757 not downloaded
[5]
asset:data:geo:GSE53757 licence not read
[6]
asset:data:geo:GSE73731 not downloaded
[7]
asset:data:geo:GSE73731 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
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[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
Kaplan–Meier analysis and Cox regression models assessed prognostic value.
[1] object · 10 fields
id
method-2
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survival_analysis
specific
kaplan_meier
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Survival analysis
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[0]
survival_km
missing_operations array · 0 items
parameters object · 0 fields
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[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.7
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medium
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Kaplan-Meier
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[0] object · 8 fields
id
target-published-estimate
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claim-target-result
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cox_ph
unit
per cent
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null
state
complete
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The published estimate as the reader quoted it from the paper. No tolerance is published because the paper states none.
[1] object · 8 fields
id
target-published-estimate-hazard-ratio
claim_id
claim-target-result
operation
cox_ph
unit
hazard ratio
tolerance
null
state
complete
note
The published estimate as the reader quoted it from the paper. No tolerance is published because the paper states none.
[2] object · 8 fields
id
target-published-estimate-p-value
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
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survival_analysis
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statistical_regression
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pca
[5]
molecular_docking
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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 · 4 items
[0]
GSE29609
[1]
GSE73731
[2]
GSE53757
[3]
GSE40435
resolved_accessions array · 4 items
[0]
GSE29609
[1]
GSE73731
[2]
GSE53757
[3]
GSE40435
statements array · 1 item
[0]
All data used in this study are publicly available. TCGA-KIRC data can be accessed through the Genomic Data Commons Portal (https://portal.gdc.cancer.gov/, accessed on 11 November 2025, Project ID: TCGA-KIRC). The GSE datasets are available from the Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?, accessed on 11 November 2025). All analysis code and processed data files are available from the corresponding author upon reasonable request.
basis
The paper names GSE29609, GSE73731, GSE53757, GSE40435 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
cox_ph
assets array · 2 items
[0]
source:pmid:41614853
[1]
data:geo:GSE29609
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[0]
run_analysis
must_build object · 5 fields
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[0]
data:geo:GSE29609
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review object · 5 fields
state
partial
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extraction_review
reader object · 5 fields
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MiniMax-M3.1-Flash
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minimax
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minimax
read_at
2026-11-01T20:11:58Z
independence
single_reader
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verbatim
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verbatim
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5
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16412
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2204
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264
stages array · 1 item
[0] object · 4 fields
id
extraction
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complete
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MiniMax-M3.1-Flash
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minimax
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[1]
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[2]
review.human_critique
execution object · 5 fields
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absent
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not_run
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null
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execution.not_run
provenance object · 7 fields
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pmid:41614853
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paper
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pmid:41614853
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source:pmid:41614853
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manuscript
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PMID 41614853 full text
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data:geo:GSE29609
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dataset
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GEO GSE29609
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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:41614853
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paper
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pmid:41614853
[1] object · 3 fields
id
source:pmid:41614853
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manuscript
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PMID 41614853 full text
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id
data:geo:GSE29609
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dataset
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GEO GSE29609
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agent:corpus-assay-engine
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activity-read-41614853
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extraction
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source:pmid:41614853
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agent:minimax-reader
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activity-resolve-GSE29609
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accession_resolution
used array · 1 item
[0]
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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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MiniMax literature reader
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343fb30756ba6ec3
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2cb3e42f047d2ecf
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lineage object · 4 fields
parent_id
pmid:41614853
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sha256:f403441e14f0d5072e1c5a5d50f18427eea2d3ba7403b7ffdb5e365d1c7f33b7
fork_of
null
gaps array · 12 items
[0]
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[1]
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[2]
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[3]
asset:data:geo:GSE40435 not downloaded
[4]
asset:data:geo:GSE53757 licence not read
[5]
asset:data:geo:GSE53757 not downloaded
[6]
asset:data:geo:GSE73731 licence not read
[7]
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[8]
execution.not_run
[9]
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[10]
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[11]
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[0] object · 11 fields
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data_generation
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rna_seq
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99e1195c7d6f
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partial
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99e1195c7d6f
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0.93
evidence array · 1 item
[0]
dicting overall survival in RCC. We analyzed RNA-seq data from 541 clear cell RCC patients in The
order_basis
paper_text_order:398
id
assay:1
[1] object · 11 fields
role
analysis
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survival_analysis
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f2132e96ae6c7a4e
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cox_ph
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supported
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dsl_catalogue
f2132e96ae6c7a4e
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Kaplan–Meier analysis and Cox regression models assessed prognostic value.
order_basis
consumes_earlier_output
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:41614853", "kind": "science-record", "revision": 2, "content_hash": "sha256:721bfff5e1b1ed0bea59e1b0c2286caf3ff3a8daefab45e3058a24772f739634", "created_at": "2026-11-01T20:31:43Z", "updated_at": "2026-11-01T21:36:33Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A PDCD4-Based Gene Expression Signature Predicts Overall Survival in Renal Cell Carcinoma: A TCGA-Based Discovery and External Validation Study.", "doi": "10.3390/cimb48010022", "pmid": "41614853", "authors": ["Bandar A Suliman"], "journal": "Current issues in molecular biology", "year": 2025, "abstract": "Renal cell carcinoma (RCC) is a heterogeneous disease with variable clinical outcomes. PDCD4 functions as a tumor suppressor, but its role in RCC prognosis remains unclear. We aimed to develop and validate a PDCD4-based gene expression signature for predicting overall survival in RCC. We analyzed RNA-seq data from 541 clear cell RCC patients in The Cancer Genome Atlas (TCGA-KIRC). We identified 100 genes (50 positively and 50 negatively correlated with PDCD4) to create a prognostic signature. Patients were stratified into high- and low-signature groups using median cutoff. Kaplan-Meier analysis and Cox regression models assessed prognostic value. External validation was performed in four independent cohorts: GSE29609, GSE73731, GSE53757, and GSE40435. Low PDCD4 signature scores were associated with significantly worse overall survival (HR = 2.17, 95% CI: 1.58-2.98, p < 0.001) and advanced tumor stage. The median survival difference was approximately 46 months. In multivariate analysis adjusting for age, gender, stage, and grade, the signature remained an independent prognostic factor (HR = 1.57, 95% CI: 1.11-2.22, p = 0.011). The signature demonstrated consistent prognostic patterns across platforms, with high signature scores associated with early-stage disease and low-grade tumors, and with potential clinical utility for risk stratification and treatment planning.", "claims": [{"id": "claim-method", "statement": "Kaplan–Meier analysis and Cox regression models assessed prognostic value.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41614853", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Kaplan–Meier analysis and Cox regression models assessed prognostic value."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data used in this study are publicly available. TCGA-KIRC data can be accessed through the Genomic Data Commons Portal (https://portal.gdc.cancer.gov/, accessed on 11 November 2025, Project ID: TCGA-KIRC). 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