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pmid:32234757

A 15-Gene Immune, Stromal, and Proliferation Gene Signature that Significantly Associates with Poor Survival in Patients with Pancreatic Ductal Adenocarcinoma.

Raju Kandimalla · Hideo Tomihara · Jasjit K Banwait · Kensuke Yamamura · Gagandeep Singh · Hideo Baba · Ajay Goel

Clinical cancer research : an official journal of the American Association for Cancer Research · 2020 doi:10.1158/1078-0432.CCR-19-4044

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title
A 15-Gene Immune, Stromal, and Proliferation Gene Signature that Significantly Associates with Poor Survival in Patients with Pancreatic Ductal Adenocarcinoma.
doi
10.1158/1078-0432.CCR-19-4044
pmid
32234757
authors array · 7 items
[0]
Raju Kandimalla
[1]
Hideo Tomihara
[2]
Jasjit K Banwait
[3]
Kensuke Yamamura
[4]
Gagandeep Singh
[5]
Hideo Baba
[6]
Ajay Goel
journal
Clinical cancer research : an official journal of the American Association for Cancer Research
year
2020
abstract
PURPOSE: Pancreatic ductal adenocarcinoma (PDAC) is a lethal disease with dismal survival rates. Tumor microenvironment (TME), comprising of immune cells and cancer-associated fibroblasts, plays a key role in driving poor prognosis and resistance to chemotherapy. Herein, we aimed to identify a TME-associated, risk-stratification gene biomarker signature in PDAC. EXPERIMENTAL DESIGN: The initial biomarker discovery was performed in The Cancer Genome Atlas (TCGA, n = 163) transcriptomic data. This was followed by independent validation of the gene signature in the International Cancer Genome Consortium (ICGC, n = 95), E-MTAB-6134 (n = 288), and GSE71729 (n = 123) datasets for predicting overall survival (OS), and for its ability to detect poor molecular subtypes. Clinical validation and nomogram establishment was undertaken by performing multivariate Cox regression analysis. RESULTS: Our biomarker discovery effort identified a 15-gene immune, stromal, and proliferation (ISP) gene signature that significantly associated with poor OS [HR, 3.90; 95% confidence interval (CI), 2.36-6.41; P < 0.0001]. This signature also robustly predicted survival in three independent validation cohorts ICGC [HR, 2.63 (1.56-4.41); P < 0.0001], E-MTAB-6134 [HR, 1.53 (1.14-2.04); P = 0.004], and GSE71729 [HR, 2.33 (1.49-3.63); P < 0.0001]. Interestingly, the ISP signature also permitted identification of poor molecular PDAC subtypes with excellent accuracy in all four cohorts; TCGA (AUC = 0.94), ICGC (AUC = 0.91), E-MTAB-6134 (AUC = 0.80), and GSE71729 (AUC = 0.83). The ISP-derived high-risk patients exhibited significantly poor OS in a clinical validation cohort [n = 119; HR, 2.62 (1.50-4.56); P = 0.0004]. A nomogram was established which included the ISP, CA19-9, and T- and N-stage for eventual clinical translation. CONCLUSIONS: We report a novel gene signature for risk-stratification and robust identification of patients with PDAC with poor molecular subtypes.
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To identify a clinically translatable immune, stromal and proliferative (ISP) gene signature, we performed Lasso penalized Cox regression analysis21 on these genes.
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In the initial discovery phase, normalized RNA sequencing data from 163 PDAC patients was downloaded from the Broad GDAC Firehose (http://gdac.broadinstitute.org/) to identify a 15-gene ISP signature.
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The study identified a 15-gene immune, stromal and proliferation (ISP) signature that was significantly associated with poor overall survival in PDAC and robustly identified poor molecular subtypes across four cohorts.
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Our biomarker discovery effort identified a 15-gene immune, stromal and proliferation (ISP) gene signature that significantly associated with poor OS (HR: 3.90, 95% CI, 2.36–6.41, p<0.0001).
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evidence object · 3 fields
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log rank
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method-4
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regression_modelling
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logistic
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Regression modelling
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glm_logit_fit
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predictors_and_outcome
evidence object · 3 fields
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0.8
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logistic regression
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[0] object · 8 fields
id
target-published-estimate
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cox_ph
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per cent
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null
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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.
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p-value
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null
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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.
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capability object · 3 fields
state
complete
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[0] object · 6 fields
capability_id
capability:computational_analysis
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gwas
candidate
Automated Assays Laravel application and simulated adapters
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readiness object · 8 fields
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R1
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cox_ph
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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
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capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
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true
accessions array · 2 items
[0]
E-MTAB-6134
[1]
GSE71729
resolved_accessions array · 2 items
[0]
E-MTAB-6134
[1]
GSE71729
statements array · 1 item
[0]
In the initial discovery phase, normalized RNA sequencing data from 163 PDAC patients was downloaded from the Broad GDAC Firehose (http://gdac.broadinstitute.org/) to identify a 15-gene ISP signature.
basis
The paper names E-MTAB-6134, GSE71729 in ArrayExpress and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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dsl_operations array · 1 item
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cox_ph
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source:pmid:32234757
[1]
data:geo:E-MTAB-6134
steps array · 1 item
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run_analysis
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[0]
data:geo:E-MTAB-6134
gaps array · 0 items
review object · 5 fields
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partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
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MiniMax-M3.1-Flash
provider
minimax
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minimax
read_at
2026-11-01T16:59:39Z
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single_reader
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verbatim
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null
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5
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7610
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extraction
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gaps array · 1 item
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[0] object · 3 fields
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pmid:32234757
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paper
label
pmid:32234757
[1] object · 3 fields
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source:pmid:32234757
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manuscript
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PMID 32234757 full text
[2] object · 3 fields
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data:geo:E-MTAB-6134
type
dataset
label
GEO E-MTAB-6134
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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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[0] object · 3 fields
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paper
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pmid:32234757
[1] object · 3 fields
id
source:pmid:32234757
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manuscript
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PMID 32234757 full text
[2] object · 3 fields
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data:geo:E-MTAB-6134
type
dataset
label
GEO E-MTAB-6134
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agent:corpus-assay-engine
[1] object · 4 fields
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extraction
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agent:minimax-reader
[2] object · 4 fields
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activity-resolve-E-MTAB-6134
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used array · 1 item
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agent:corpus-assay-engine
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agent:corpus-assay-engine
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Corpus assay engine
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MiniMax literature reader
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lineage object · 4 fields
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[1]
asset:data:geo:E-MTAB-6134 not downloaded
[2]
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[3]
asset:data:geo:GSE71729 not downloaded
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assays array · 3 items
[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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0.99
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[0]
d in The Cancer Genome Atlas (TCGA, n = 163) transcriptomic data. This was followed by independent valid
[1]
silico validation. While the normalized ICGC RNA-sequencing data for PDAC was downloaded from the ICGC D
[2]
. In the initial discovery phase, normalized RNA sequencing data from 163 PDAC patients was downloaded f
[3]
very phase, where we systematically analyzed transcriptomic data from PDAC patients available in TCGA, I
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paper_text_order:590
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assay:1
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data from ICGC (N=95; validation cohort 1), microarray gene expression data from E-MTAB-6134 (N=288
[1]
al (https://dcc.icgc.org/), the clinical and microarray-based gene expression data from 288 PDAC pat
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paper_text_order:3195
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assay:2
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f2132e96ae6c7a4e
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dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
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To identify a clinically translatable immune, stromal and proliferative (ISP) gene signature, we performed Lasso penalized Cox regression analysis21 on these genes.
order_basis
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32234757", "kind": "science-record", "revision": 4, "content_hash": "sha256:5c902b3b81cc0dc324f73aab33434957889fb57584e56371bd4796b902fc9a61", "created_at": "2026-11-01T17:33:30Z", "updated_at": "2026-11-01T22:44:42Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A 15-Gene Immune, Stromal, and Proliferation Gene Signature that Significantly Associates with Poor Survival in Patients with Pancreatic Ductal Adenocarcinoma.", "doi": "10.1158/1078-0432.CCR-19-4044", "pmid": "32234757", "authors": ["Raju Kandimalla", "Hideo Tomihara", "Jasjit K Banwait", "Kensuke Yamamura", "Gagandeep Singh", "Hideo Baba", "Ajay Goel"], "journal": "Clinical cancer research : an official journal of the American Association for Cancer Research", "year": 2020, "abstract": "PURPOSE: Pancreatic ductal adenocarcinoma (PDAC) is a lethal disease with dismal survival rates. Tumor microenvironment (TME), comprising of immune cells and cancer-associated fibroblasts, plays a key role in driving poor prognosis and resistance to chemotherapy. Herein, we aimed to identify a TME-associated, risk-stratification gene biomarker signature in PDAC.\nEXPERIMENTAL DESIGN: The initial biomarker discovery was performed in The Cancer Genome Atlas (TCGA, n = 163) transcriptomic data. This was followed by independent validation of the gene signature in the International Cancer Genome Consortium (ICGC, n = 95), E-MTAB-6134 (n = 288), and GSE71729 (n = 123) datasets for predicting overall survival (OS), and for its ability to detect poor molecular subtypes. Clinical validation and nomogram establishment was undertaken by performing multivariate Cox regression analysis.\nRESULTS: Our biomarker discovery effort identified a 15-gene immune, stromal, and proliferation (ISP) gene signature that significantly associated with poor OS [HR, 3.90; 95% confidence interval (CI), 2.36-6.41; P < 0.0001]. This signature also robustly predicted survival in three independent validation cohorts ICGC [HR, 2.63 (1.56-4.41); P < 0.0001], E-MTAB-6134 [HR, 1.53 (1.14-2.04); P = 0.004], and GSE71729 [HR, 2.33 (1.49-3.63); P < 0.0001]. Interestingly, the ISP signature also permitted identification of poor molecular PDAC subtypes with excellent accuracy in all four cohorts; TCGA (AUC = 0.94), ICGC (AUC = 0.91), E-MTAB-6134 (AUC = 0.80), and GSE71729 (AUC = 0.83). The ISP-derived high-risk patients exhibited significantly poor OS in a clinical validation cohort [n = 119; HR, 2.62 (1.50-4.56); P = 0.0004]. A nomogram was established which included the ISP, CA19-9, and T- and N-stage for eventual clinical translation.\nCONCLUSIONS: We report a novel gene signature for risk-stratification and robust identification of patients with PDAC with poor molecular subtypes.", "claims": [{"id": "claim-method", "statement": "To identify a clinically translatable immune, stromal and proliferative (ISP) gene signature, we performed Lasso penalized Cox regression analysis21 on these genes.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32234757", "locator": "sections[6] \"Statistical analysis\" paragraph 2", "quote": "To identify a clinically translatable immune, stromal and proliferative (ISP) gene signature, we performed Lasso penalized Cox regression analysis21 on these genes."}], "state": "complete"}, {"id": "claim-data-access", "statement": "In the initial discovery phase, normalized RNA sequencing data from 163 PDAC patients was downloaded from the Broad GDAC Firehose (http://gdac.broadinstitute.org/) to identify a 15-gene ISP signature.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32234757", "locator": "sections[3] \"Study design and patient cohorts\" paragraph 2", "quote": "In the initial discovery phase, normalized RNA sequencing data from 163 PDAC patients was downloaded from the Broad GDAC Firehose (http://gdac.broadinstitute.org/) to identify a 15-gene ISP signature."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The study identified a 15-gene immune, stromal and proliferation (ISP) signature that was significantly associated with poor overall survival in PDAC and robustly identified poor molecular subtypes across four cohorts.", "kind": "quantitative", "target": {"value": 95.0, "unit": "per cent", "tolerance": null, "source": "Our biomarker discovery effort identified a 15-gene immune, stromal and proliferation (ISP) gene signature that significantly associated with poor OS (HR: 3.90, 95% CI, 2.36–6.41, p<0.0001)."}, "evidence": [{"asset": "source:pmid:32234757", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Our biomarker discovery effort identified a 15-gene immune, stromal and proliferation (ISP) gene signature that significantly associated with poor OS (HR: 3.90, 95% CI, 2.36–6.41, p<0.0001)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The study identified a 15-gene immune, stromal and proliferation (ISP) signature that was significantly associated with poor overall survival in PDAC and robustly identified poor molecular subtypes across four cohorts.", "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:32234757"], "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. 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