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pmid:41488282

High CDCP1 Expression Reflects Immune and Stromal Remodeling and Oncogenic Signaling in Pancreatic Ductal Adenocarcinoma.

World journal of oncology · 2026 doi:10.14740/wjon2682

Paper

partial

Experiment

partial

Data

partial

Analysis

absent

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:41488282
kind
science-record
content_hash
sha256:9d6378ac8f6f4bc81c8bed6dc55477439af8cbd2e0e00bf10adf43cfd4fe189d
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T10:25:54Z
updated_at
2026-11-01T10:25:54Z
generator object · 3 fields
name
corpus-assay-engine
converter
sep_to_sci_v1
source_package_schema
urn:bntrg:sep:1.0.0
paper object · 10 fields
state
partial
title
High CDCP1 Expression Reflects Immune and Stromal Remodeling and Oncogenic Signaling in Pancreatic Ductal Adenocarcinoma.
doi
10.14740/wjon2682
pmid
41488282
authors
null
journal
World journal of oncology
year
2026
abstract
null
claims array · 1 item
[0] object · 6 fields
id
claim-1
statement
the headline numerical result the paper states for its main finding
kind
qualitative
state
blocked
target object · 4 fields
value
null
unit
null
tolerance
null
source
null
evidence array · 0 items
gaps array · 2 items
[0]
abstract
[1]
authors
experiment object · 8 fields
state
partial
objective
the headline numerical result the paper states for its main finding
steps array · 3 items
[0] object · 13 fields
id
read_published_estimate
order
1
name
Read the published estimate and its interval from the source
kind
other
state
complete
blocked_on
null
description
The number a replication must land on, and the sentence it came from.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:41488282
outputs array · 1 item
[0]
the published estimate, its unit and its interval
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
id
obtain_source_data
order
2
name
Obtain the source data behind the published result
kind
data-preparation
state
blocked
blocked_on
data:not_downloaded
description
The published result cannot be recomputed without the data the paper analysed.
parameters object · 0 fields
inputs array · 0 items
outputs array · 1 item
[0]
the source data with its provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
id
run_analysis
order
3
name
Run the analysis programme
kind
analysis
state
blocked
blocked_on
no owned computational capability is bound to this experiment
description
Re-run the paper's analysis on the source data and produce the registered result. | SEP input not carried into the asset list: materials:the source data behind the published result in pmid:41488282
parameters object · 0 fields
inputs array · 0 items
outputs array · 1 item
[0]
the registered result
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 · 3 items
[0]
step:obtain_source_data blocked on data:not_downloaded
[1]
step:run_analysis blocked on no owned computational capability is bound to this experiment
[2]
step:run_analysis input 'materials:the source data behind the published result in pmid:41488282' does not resolve to a declared asset
data object · 3 fields
state
partial
assets array · 1 item
[0] object · 15 fields
id
source:pmid:41488282
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.14740/wjon2682
sha256
sha256:bc556844a77f071eedc83aff1a2c59e203bc940c018de6a909fc4531208f26c7
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.14740/wjon2682
version
null
note
Source read by the package builder: full_text.
structure object · 1 field
access_state
full_text
gaps array · 1 item
[0]
asset:source:pmid:41488282 not verified
analysis object · 4 fields
state
absent
methods array · 0 items
targets array · 0 items
gaps array · 2 items
[0]
method
[1]
targets
capability object · 3 fields
state
absent
requirements array · 0 items
gaps array · 1 item
[0]
capability
readiness object · 8 fields
state
partial
tier
null
blocked_on
null
axes object · 0 fields
can_run object · 3 fields
dsl_operations array · 0 items
assets array · 1 item
[0]
source:pmid:41488282
steps array · 1 item
[0]
read_published_estimate
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 1 item
[0]
xml
capabilities array · 0 items
data_gaps array · 1 item
[0]
source:pmid:41488282
gaps array · 1 item
[0]
corpus_record_absent
review object · 5 fields
state
partial
machine_critique object · 7 fields
status
blocked
providers array · 2 items
[0] object · 7 fields
provider
minimax
model
MiniMax-M3.1-Flash
prompt_version
full-text-reading-v1
prompt_hash
200d072ffd70835817506a1e4195a7616a093b62da0741e69a1539d9d40aec88
source_hash
bc556844a77f071eedc83aff1a2c59e203bc940c018de6a909fc4531208f26c7
raw_response_sha256
sha256:78f22047b8c4ed502ff9103fd36159b09771d15d8befdf9649ce3c237c48a0b3
raw_response_chars
5054
[1] object · 7 fields
provider
minimax_alt
model
MiniMax-M3
prompt_version
full-text-reading-v1
prompt_hash
4b9ddfbe59c0b04ee5b02ab9731799c8a579b2eab157263f12d9f334669db1ec
source_hash
bc556844a77f071eedc83aff1a2c59e203bc940c018de6a909fc4531208f26c7
raw_response_sha256
sha256:eb7ee4f2609b4d3409c90f52d4fbf19843df95d3509490635297f865df330f50
raw_response_chars
65421
target_providers array · 2 items
[0] object · 8 fields
provider
minimax
model
MiniMax-M3.1-Flash
prompt_version
replication-target-v2
prompt_hash
d85584682e0d8dafb257e65534d5916850a7270c953fbcdfac41290655cec2a5
source_hash
bc556844a77f071eedc83aff1a2c59e203bc940c018de6a909fc4531208f26c7
raw_response
{"parent_value":0,"unit":"","evidence":"","target_result":"The paper states that high CDCP1 expression in PDAC is associated with poor patient survival, reduced CD8+ T-cell infiltration, decreased stromal cellular fractions, increased genomic instability, and activation of multiple oncogenic signaling pathways; it does not state a headline numerical result for the main finding.","number_stated":false}
reading object · 6 fields
parent_value
0
unit
evidence
target_result
The paper states that high CDCP1 expression in PDAC is associated with poor patient survival, reduced CD8+ T-cell infiltration, decreased stromal cellular fractions, increased genomic instability, and activation of multiple oncogenic signaling pathways; it does not state a headline numerical result for the main finding.
number_stated
false
source_locator
null
recorded_at
2026-10-31T15:15:52.343697+00:00
[1] object · 8 fields
provider
minimax_alt
model
MiniMax-M3
prompt_version
replication-target-v2
prompt_hash
4486b63402fd382065d70fff9f74d4d0385d960cfc752c3c86eb6a60dafcbb4a
source_hash
bc556844a77f071eedc83aff1a2c59e203bc940c018de6a909fc4531208f26c7
raw_response
<think>We need respond JSON object schema. Need interpret registered target headline numerical result paper states main finding. Source has no headline numerical result? We need examine. Paper text provides n=214 cases etc but main finding high CDCP1 associated with TME remodeling, genomic instability, pathway enrichments no reported effect sizes/p-values except thresholds, 64 cell types, data cohort counts. No number stated for "headline numerical result" main finding. Likely answer number_stated false, parent_value 0, unit "", evidence "", target_result describe no numerical result for registered target; text states qualitative findings: high CDCP1 associated with poor survival etc. Need ensure exact quote? User says if no number for registered target false etc. Need output pure JSON. Could target_result be "No headline numerical result is stated; the paper reports qualitative associations..." no evidence requirement for false. Need distinguish n=214 maybe headline number? Target "the headline numerical result the paper states for its main finding". Could be sample size? They might expect 214? We must reason deeply. The paper supplied is abstract etc. It says analyzed transcriptomic and clinical data from 214 PDAC cases (TCGA n=145; GSE62452 n=69). Headline numerical result could be 214 cases? But not result, cohort size. No hazard ratio, odds ratio, survival etc. They ask single numerical result replication registered target has to reproduce. Registered target generic "headline numerical result the paper states for its main finding". Main finding high CDCP1 expression associated etc with no numeric effect reported. Therefore false. Need target_result mention qualitative statements and counts maybe "The text states that high CDCP1 expression is associated with poor patient survival, reduced CD8+ T-cell infiltration, decreased stromal cellular fractions, increased genomic instability, and activation of multiple oncogenic signaling pathways, but provides no headline numerical result." Need no evidence? empty exact. parent 0. number false. We should make sure do not identify thresholds NES>1.5 FDR<0.25 or top tertile 214 as headline. This is likely dataset question asking main result numerical but not present. Need simply false. Could use concise target_result with quoted text? They say "say in target_result what the text does state instead." We can state qualitative conclusion and cohort n perhaps. No invention. We can quote exact conclusion for robustness: "The paper states qualitatively that high CDCP1 expression in PDAC is associated with poor patient survival, reduced CD8+ T-cell infiltration, decreased stromal cellular fractions, increased genomic instability, and activation of multiple oncogenic signaling pathways; it gives no headline numerical result for this main finding." This is paraphrase but target_result no constraint beyond say what states; okay. Need final valid JSON no markdown. Could parent_value 0, unit "", evidence "", target_result as above, number_stated false. Need avoid including numerical 214 in target result? Could mention "The main finding is reported qualitatively ...; the numerical values given describe the cohort and analysis thresholds rather than a headline effect estimate." That is fine. But if target_result includes e.g. 214 it's not output field needed. I'd keep no numbers except no main finding numeric. We have much tokens but no need. Need obey "Reply with a JSON object" exact. Final JSON fields order same schema.</think> {"parent_value":0,"unit":"","evidence":"","target_result":"The paper states qualitatively that high CDCP1 expression in PDAC is associated with poor patient survival, reduced CD8+ T-cell infiltration, decreased stromal cellular fractions, increased genomic instability, and activation of multiple oncogenic signaling pathways. It does not state a headline numerical result for this main finding.","number_stated":false}
reading object · 6 fields
parent_value
0
unit
evidence
target_result
The paper states qualitatively that high CDCP1 expression in PDAC is associated with poor patient survival, reduced CD8+ T-cell infiltration, decreased stromal cellular fractions, increased genomic instability, and activation of multiple oncogenic signaling pathways. It does not state a headline numerical result for this main finding.
number_stated
false
source_locator
null
recorded_at
2026-10-31T15:15:58.457785+00:00
agreement
false
disagreements object · 3 fields
target_result object · 3 fields
minimax
No numerical effect estimate is reported for the headline finding. The stated main finding is that high CDCP1 expression was significantly associated with reduced infiltration of CD8+ T cells, adipocytes, and fibroblasts.
minimax_alt
unclear — no numerical effect estimate for the headline finding is reported. The stated headline result is that high CDCP1 expression defines a transcriptionally distinct PDAC subtype characterized by immune evasion, stromal depletion, and genomic instability.
decisive
false
analysis_methods object · 3 fields
minimax array · 7 items
[0]
xCell algorithm
[1]
Gene Set Enrichment Analysis (GSEA) with Hallmark gene sets
[2]
Gene Set Variation Analysis (GSVA)
[3]
Kruskal-Wallis test
[4]
Mann-Whitney U test
[5]
Fisher’s exact test
[6]
Log-rank test
minimax_alt array · 6 items
[0]
Patients were stratified into high CDCP1 and low CDCP1 groups based on tertile distribution within each cohort, with the top tertile defined as high and the remaining two tertiles combined as low.
[1]
To estimate TME composition, the xCell algorithm was applied to bulk transcriptome data to infer the relative abundance of 64 immune and stromal cell types [14].
[2]
To investigate pathway activity, we conducted Gene Set Enrichment Analysis (GSEA) using the Hallmark gene sets from the Molecular Signatures Database (MSigDB v7.5.1) [13].
[3]
In addition, Gene Set Variation Analysis (GSVA) was performed using the GSVA package in R to calculate enrichment scores for selected hallmark pathways, including E2F targets, G2M checkpoint, MYC targets, mitotic spindle, mTORC1 signaling, p53 pathway, glycolysis, and hypoxia.
[4]
Mutation data were used to calculate silent and non-silent mutation rates, single nucleotide variant (SNV) burden, and insertion/deletion (indel) neoantigen loads.
[5]
We assessed the association between CDCP1 expression and mutation status of canonical PDAC driver genes (KRAS, TP53, CDKN2A, and SMAD4).
decisive
false
statistical_method object · 3 fields
minimax
Kruskal-Wallis test or the Mann-Whitney U test, as appropriate
minimax_alt
Kruskal-Wallis test or the Mann-Whitney U test for group comparisons; Fisher’s exact test for categorical variables; Log-rank test for survival analysis
decisive
true
agreement_basis object · 2 fields
policy
decisive_fields
decisive_fields array · 4 items
[0]
work_type
[1]
number_stated
[2]
parent_value
[3]
unit
blinded
true
human_critique object · 5 fields
status
not_run
reviewer
null
signed_at
null
conflict_checked
false
commentary
null
stages array · 7 items
[0] object · 4 fields
key
target_materials
status
pending
reason
null
evidence
null
[1] object · 4 fields
key
independent_readings
status
blocked
reason
The independent readings are incomplete or disagree; the source evidence must resolve the difference.
evidence object · 1 field
provider_errors array · 0 items
[2] object · 4 fields
key
source_resolution
status
pending
reason
null
evidence
null
[3] object · 4 fields
key
protocol_reconstruction
status
pending
reason
null
evidence
null
[4] object · 4 fields
key
control_execution
status
pending
reason
null
evidence
null
[5] object · 4 fields
key
control_comparison
status
pending
reason
null
evidence
null
[6] object · 4 fields
key
publication
status
pending
reason
null
evidence
null
gaps array · 2 items
[0]
review.human_critique
[1]
review.machine_critique.blocked
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 · 1 item
[0] object · 3 fields
id
package:6155466f634caf45385ae5d2e78a0243afb806e6a1b6b5282394d3610737d2b8
type
sep_package
label
SEP v1 package for pmid:41488282
activities array · 1 item
[0] object · 4 fields
id
activity:conversion:pmid:41488282
type
conversion
used array · 1 item
[0]
package:6155466f634caf45385ae5d2e78a0243afb806e6a1b6b5282394d3610737d2b8
agent
agent:corpus-assay-engine
agents array · 3 items
[0] object · 3 fields
id
agent:minimax
type
model
label
minimax
[1] object · 3 fields
id
agent:minimax_alt
type
model
label
minimax_alt
[2] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
source_run_id
run-20261023T122449232913
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
19315c9d-e9ad-4cf1-8d31-007d8a33b202
parent_hash
6155466f634caf45385ae5d2e78a0243afb806e6a1b6b5282394d3610737d2b8
fork_of
null
gaps array · 13 items
[0]
abstract
[1]
asset:source:pmid:41488282 not verified
[2]
authors
[3]
capability
[4]
corpus_record_absent
[5]
execution.not_run
[6]
method
[7]
review.human_critique
[8]
review.machine_critique.blocked
[9]
step:obtain_source_data blocked on data:not_downloaded
[10]
step:run_analysis blocked on no owned computational capability is bound to this experiment
[11]
step:run_analysis input 'materials:the source data behind the published result in pmid:41488282' does not resolve to a declared asset
[12]
targets
Complete file
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["abstract", "authors"]}, "experiment": {"state": "partial", "objective": "the headline numerical result the paper states for its main finding", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate and its interval from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The number a replication must land on, and the sentence it came from.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:41488282"], "outputs": ["the published estimate, its unit and its interval"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data behind the published result", "kind": "data-preparation", "state": "blocked", "blocked_on": "data:not_downloaded", "description": "The published result cannot be recomputed without the data the paper analysed.", "duration_hours": null, "parameters": {}, "inputs": [], "outputs": ["the source data with its provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the analysis programme", "kind": "analysis", "state": "blocked", "blocked_on": "no owned computational capability is bound to this experiment", "description": "Re-run the paper's analysis on the source data and produce the registered result. | SEP input not carried into the asset list: materials:the source data behind the published result in pmid:41488282", "duration_hours": null, "parameters": {}, "inputs": [], "outputs": ["the registered result"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:obtain_source_data blocked on data:not_downloaded", "step:run_analysis blocked on no owned computational capability is bound to this experiment", "step:run_analysis input 'materials:the source data behind the published result in pmid:41488282' does not resolve to a declared asset"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:41488282", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.14740/wjon2682", "sha256": "sha256:bc556844a77f071eedc83aff1a2c59e203bc940c018de6a909fc4531208f26c7", "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.14740/wjon2682", "version": null, "note": "Source read by the package builder: full_text.", "structure": {"access_state": "full_text"}}], "gaps": ["asset:source:pmid:41488282 not verified"]}, "analysis": {"state": "absent", "methods": [], "targets": [], "gaps": ["method", "targets"]}, "capability": {"state": "absent", "requirements": [], "gaps": ["capability"]}, "readiness": {"state": "partial", "tier": null, "blocking_axis": null, "blocked_on": null, "axes": {}, "can_run": {"dsl_operations": [], "assets": ["source:pmid:41488282"], "steps": ["read_published_estimate"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": ["xml"], "capabilities": [], "data_gaps": ["source:pmid:41488282"]}, "gaps": ["corpus_record_absent"]}, "review": {"state": "partial", "machine_critique": {"status": "blocked", "providers": [{"provider": "minimax", "model": "MiniMax-M3.1-Flash", "prompt_version": "full-text-reading-v1", "prompt_hash": "200d072ffd70835817506a1e4195a7616a093b62da0741e69a1539d9d40aec88", "source_hash": "bc556844a77f071eedc83aff1a2c59e203bc940c018de6a909fc4531208f26c7", "raw_response_sha256": "sha256:78f22047b8c4ed502ff9103fd36159b09771d15d8befdf9649ce3c237c48a0b3", "raw_response_chars": 5054}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "full-text-reading-v1", "prompt_hash": "4b9ddfbe59c0b04ee5b02ab9731799c8a579b2eab157263f12d9f334669db1ec", "source_hash": "bc556844a77f071eedc83aff1a2c59e203bc940c018de6a909fc4531208f26c7", "raw_response_sha256": "sha256:eb7ee4f2609b4d3409c90f52d4fbf19843df95d3509490635297f865df330f50", "raw_response_chars": 65421}], "target_providers": [{"provider": "minimax", "model": "MiniMax-M3.1-Flash", "prompt_version": "replication-target-v2", "prompt_hash": "d85584682e0d8dafb257e65534d5916850a7270c953fbcdfac41290655cec2a5", "source_hash": "bc556844a77f071eedc83aff1a2c59e203bc940c018de6a909fc4531208f26c7", "raw_response": "{\"parent_value\":0,\"unit\":\"\",\"evidence\":\"\",\"target_result\":\"The paper states that high CDCP1 expression in PDAC is associated with poor patient survival, reduced CD8+ T-cell infiltration, decreased stromal cellular fractions, increased genomic instability, and activation of multiple oncogenic signaling pathways; it does not state a headline numerical result for the main finding.\",\"number_stated\":false}", "reading": {"parent_value": 0, "unit": "", "evidence": "", "target_result": "The paper states that high CDCP1 expression in PDAC is associated with poor patient survival, reduced CD8+ T-cell infiltration, decreased stromal cellular fractions, increased genomic instability, and activation of multiple oncogenic signaling pathways; it does not state a headline numerical result for the main finding.", "number_stated": false, "source_locator": null}, "recorded_at": "2026-10-31T15:15:52.343697+00:00"}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "replication-target-v2", "prompt_hash": "4486b63402fd382065d70fff9f74d4d0385d960cfc752c3c86eb6a60dafcbb4a", "source_hash": "bc556844a77f071eedc83aff1a2c59e203bc940c018de6a909fc4531208f26c7", "raw_response": "<think>We need respond JSON object schema. Need interpret registered target headline numerical result paper states main finding. Source has no headline numerical result? We need examine. Paper text provides n=214 cases etc but main finding high CDCP1 associated with TME remodeling, genomic instability, pathway enrichments no reported effect sizes/p-values except thresholds, 64 cell types, data cohort counts. No number stated for \"headline numerical result\" main finding. Likely answer number_stated false, parent_value 0, unit \"\", evidence \"\", target_result describe no numerical result for registered target; text states qualitative findings: high CDCP1 associated with poor survival etc. Need ensure exact quote? User says if no number for registered target false etc. Need output pure JSON. Could target_result be \"No headline numerical result is stated; the paper reports qualitative associations...\" no evidence requirement for false. Need distinguish n=214 maybe headline number? Target \"the headline numerical result the paper states for its main finding\". Could be sample size? They might expect 214? We must reason deeply.\n\nThe paper supplied is abstract etc. It says analyzed transcriptomic and clinical data from 214 PDAC cases (TCGA n=145; GSE62452 n=69). Headline numerical result could be 214 cases? But not result, cohort size. No hazard ratio, odds ratio, survival etc. They ask single numerical result replication registered target has to reproduce. Registered target generic \"headline numerical result the paper states for its main finding\". Main finding high CDCP1 expression associated etc with no numeric effect reported. Therefore false. Need target_result mention qualitative statements and counts maybe \"The text states that high CDCP1 expression is associated with poor patient survival, reduced CD8+ T-cell infiltration, decreased stromal cellular fractions, increased genomic instability, and activation of multiple oncogenic signaling pathways, but provides no headline numerical result.\" Need no evidence? empty exact. parent 0. number false.\n\nWe should make sure do not identify thresholds NES>1.5 FDR<0.25 or top tertile 214 as headline. This is likely dataset question asking main result numerical but not present. Need simply false. Could use concise target_result with quoted text? They say \"say in target_result what the text does state instead.\" We can state qualitative conclusion and cohort n perhaps. No invention. We can quote exact conclusion for robustness: \"The paper states qualitatively that high CDCP1 expression in PDAC is associated with poor patient survival, reduced CD8+ T-cell infiltration, decreased stromal cellular fractions, increased genomic instability, and activation of multiple oncogenic signaling pathways; it gives no headline numerical result for this main finding.\" This is paraphrase but target_result no constraint beyond say what states; okay.\n\nNeed final valid JSON no markdown. Could parent_value 0, unit \"\", evidence \"\", target_result as above, number_stated false. Need avoid including numerical 214 in target result? Could mention \"The main finding is reported qualitatively ...; the numerical values given describe the cohort and analysis thresholds rather than a headline effect estimate.\" That is fine. But if target_result includes e.g. 214 it's not output field needed. I'd keep no numbers except no main finding numeric.\n\nWe have much tokens but no need. Need obey \"Reply with a JSON object\" exact. Final JSON fields order same schema.</think>\n\n{\"parent_value\":0,\"unit\":\"\",\"evidence\":\"\",\"target_result\":\"The paper states qualitatively that high CDCP1 expression in PDAC is associated with poor patient survival, reduced CD8+ T-cell infiltration, decreased stromal cellular fractions, increased genomic instability, and activation of multiple oncogenic signaling pathways. It does not state a headline numerical result for this main finding.\",\"number_stated\":false}", "reading": {"parent_value": 0, "unit": "", "evidence": "", "target_result": "The paper states qualitatively that high CDCP1 expression in PDAC is associated with poor patient survival, reduced CD8+ T-cell infiltration, decreased stromal cellular fractions, increased genomic instability, and activation of multiple oncogenic signaling pathways. It does not state a headline numerical result for this main finding.", "number_stated": false, "source_locator": null}, "recorded_at": "2026-10-31T15:15:58.457785+00:00"}], "agreement": false, "disagreements": {"target_result": {"minimax": "No numerical effect estimate is reported for the headline finding. The stated main finding is that high CDCP1 expression was significantly associated with reduced infiltration of CD8+ T cells, adipocytes, and fibroblasts.", "minimax_alt": "unclear — no numerical effect estimate for the headline finding is reported. The stated headline result is that high CDCP1 expression defines a transcriptionally distinct PDAC subtype characterized by immune evasion, stromal depletion, and genomic instability.", "decisive": false}, "analysis_methods": {"minimax": ["xCell algorithm", "Gene Set Enrichment Analysis (GSEA) with Hallmark gene sets", "Gene Set Variation Analysis (GSVA)", "Kruskal-Wallis test", "Mann-Whitney U test", "Fisher’s exact test", "Log-rank test"], "minimax_alt": ["Patients were stratified into high CDCP1 and low CDCP1 groups based on tertile distribution within each cohort, with the top tertile defined as high and the remaining two tertiles combined as low.", "To estimate TME composition, the xCell algorithm was applied to bulk transcriptome data to infer the relative abundance of 64 immune and stromal cell types [14].", "To investigate pathway activity, we conducted Gene Set Enrichment Analysis (GSEA) using the Hallmark gene sets from the Molecular Signatures Database (MSigDB v7.5.1) [13].", "In addition, Gene Set Variation Analysis (GSVA) was performed using the GSVA package in R to calculate enrichment scores for selected hallmark pathways, including E2F targets, G2M checkpoint, MYC targets, mitotic spindle, mTORC1 signaling, p53 pathway, glycolysis, and hypoxia.", "Mutation data were used to calculate silent and non-silent mutation rates, single nucleotide variant (SNV) burden, and insertion/deletion (indel) neoantigen loads.", "We assessed the association between CDCP1 expression and mutation status of canonical PDAC driver genes (KRAS, TP53, CDKN2A, and SMAD4)."], "decisive": false}, "statistical_method": {"minimax": "Kruskal-Wallis test or the Mann-Whitney U test, as appropriate", "minimax_alt": "Kruskal-Wallis test or the Mann-Whitney U test for group comparisons; Fisher’s exact test for categorical variables; Log-rank test for survival analysis", "decisive": true}}, "agreement_basis": {"policy": "decisive_fields", "decisive_fields": ["work_type", "number_stated", "parent_value", "unit"]}, "blinded": true}, "human_critique": {"status": "not_run", "reviewer": null, "signed_at": null, "conflict_checked": false, "commentary": null}, "stages": [{"key": "target_materials", "status": "pending", "reason": null, "evidence": null}, {"key": "independent_readings", "status": "blocked", "reason": "The independent readings are incomplete or disagree; the source evidence must resolve the difference.", "evidence": {"provider_errors": []}}, {"key": "source_resolution", "status": "pending", "reason": null, "evidence": null}, {"key": "protocol_reconstruction", "status": "pending", "reason": null, "evidence": null}, {"key": "control_execution", "status": "pending", "reason": null, "evidence": null}, {"key": "control_comparison", "status": "pending", "reason": null, "evidence": null}, {"key": "publication", "status": "pending", "reason": null, "evidence": null}], "gaps": ["review.human_critique", "review.machine_critique.blocked"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "package:6155466f634caf45385ae5d2e78a0243afb806e6a1b6b5282394d3610737d2b8", "type": "sep_package", "label": "SEP v1 package for pmid:41488282"}], "activities": [{"id": "activity:conversion:pmid:41488282", "type": "conversion", "used": ["package:6155466f634caf45385ae5d2e78a0243afb806e6a1b6b5282394d3610737d2b8"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:minimax", "type": "model", "label": "minimax"}, {"id": "agent:minimax_alt", "type": "model", "label": "minimax_alt"}, {"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}], "source_run_id": "run-20261023T122449232913", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "19315c9d-e9ad-4cf1-8d31-007d8a33b202", "parent_hash": "6155466f634caf45385ae5d2e78a0243afb806e6a1b6b5282394d3610737d2b8", "fork_of": null, "generation": 1}, "gaps": ["abstract", "asset:source:pmid:41488282 not verified", "authors", "capability", "corpus_record_absent", "execution.not_run", "method", "review.human_critique", "review.machine_critique.blocked", "step:obtain_source_data blocked on data:not_downloaded", "step:run_analysis blocked on no owned computational capability is bound to this experiment", "step:run_analysis input 'materials:the source data behind the published result in pmid:41488282' does not resolve to a declared asset", "targets"]}