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pmid:40860669

Genome-wide discovery of circulating cell-free DNA methylation signatures for the differential diagnosis of triple-negative breast cancer.

PeerJ · 2025 doi:10.7717/peerj.19888

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:40860669
kind
science-record
content_hash
sha256:39e5e9b7a50f01ef2c3e7c63289635675e1961dd479b080f267b7baf33e6621f
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
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2026-11-01T10:25:52Z
updated_at
2026-11-01T14:01:47Z
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corpus-assay-engine
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sep_to_sci_v1
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urn:bntrg:sep:1.0.0
paper object · 10 fields
state
partial
title
Genome-wide discovery of circulating cell-free DNA methylation signatures for the differential diagnosis of triple-negative breast cancer.
doi
10.7717/peerj.19888
pmid
40860669
authors
null
journal
PeerJ
year
2025
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
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qualitative
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blocked
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null
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null
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null
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null
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[0]
abstract
[1]
authors
experiment object · 8 fields
state
partial
objective
the headline numerical result the paper states for its main finding
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[0] object · 13 fields
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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:40860669
outputs array · 1 item
[0]
the published estimate, its unit and its interval
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[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
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the source data with its provenance
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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:40860669
parameters object · 0 fields
inputs array · 0 items
outputs array · 1 item
[0]
the registered result
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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:40860669' does not resolve to a declared asset
data object · 3 fields
state
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[0] object · 15 fields
id
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manuscript
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xml
media_type
application/xml
uri
https://doi.org/10.7717/peerj.19888
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reader_required
identifier
10.7717/peerj.19888
version
null
note
Source read by the package builder: full_text.
structure object · 1 field
access_state
full_text
[1] object · 16 fields
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asset:table:pmid:40860669:1
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jats-table
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section[12]/table-wrap[1]#table-1
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null
note
The basic characteristics of patients in in-house cohort.
structure object · 5 fields
pmcid
PMC12374692
section_index
12
section_title
Basic characteristics of patients
row_count
32
column_count
4
table object · 8 fields
label
Table 1
caption
The basic characteristics of patients in in-house cohort.
rows array · 32 items
[0] array · 4 items
[0]
Characteristic
[1]
Non-TNBC (N = 80)
[2]
TNBC (N = 33)
[3]
P value
[1] array · 4 items
[0]
Age (years)
[1]
[2]
[3]
0.800
[2] array · 4 items
[0]
Mean ± SD
[1]
59.5 ± 10.5
[2]
58.7 ± 9.2
[3]
[3] array · 4 items
[0]
Range
[1]
36–82
[2]
37–73
[3]
[4] array · 4 items
[0]
BI-RADS category in mammographya, n (%)
[1]
[2]
[3]
0.032
[5] array · 4 items
[0]
1-4a
[1]
22 (27.5%)
[2]
11 (33.3%)
[3]
[6] array · 4 items
[0]
4b-6
[1]
48 (60.0%)
[2]
12 (36.4%)
[3]
[7] array · 4 items
[0]
Unknown
[1]
10 (12.5%)
[2]
10 (30.3%)
[3]
[8] array · 4 items
[0]
BI-RADS category in ultrasounda, n (%)
[1]
[2]
[3]
0.150
[9] array · 4 items
[0]
1-4a
[1]
5 (6.3%)
[2]
4 (12.1%)
[3]
[10] array · 4 items
[0]
4b-6
[1]
61 (76.2%)
[2]
19 (57.6%)
[3]
[11] array · 4 items
[0]
Unknown
[1]
14 (17.5%)
[2]
10 (30.3%)
[3]
[12] array · 4 items
[0]
Tumor size, n (%)
[1]
[2]
[3]
0.300
[13] array · 4 items
[0]
Tumor size <= 2 cm
[1]
38 (47.5%)
[2]
19 (57.6%)
[3]
[14] array · 4 items
[0]
Tumor size > 2 cm
[1]
42 (52.5%)
[2]
14 (42.4%)
[3]
[15] array · 4 items
[0]
Lymph node, n (%)
[1]
[2]
[3]
0.400
[16] array · 4 items
[0]
Negative
[1]
54 (67.5%)
[2]
19 (57.6%)
[3]
[17] array · 4 items
[0]
Positive
[1]
26 (32.5%)
[2]
14 (42.4%)
[3]
[18] array · 4 items
[0]
Unknown
[1]
0 (0.0%)
[2]
0 (0.0%)
[3]
[19] array · 4 items
[0]
Stageb, n (%)
[1]
[2]
[3]
0.300
[20] array · 4 items
[0]
Stage I
[1]
29 (36.3%)
[2]
15 (45.5%)
[3]
[21] array · 4 items
[0]
Stage II
[1]
34 (42.5%)
[2]
11 (33.3%)
[3]
[22] array · 4 items
[0]
Stage III
[1]
16 (20.0%)
[2]
5 (15.2%)
[3]
[23] array · 4 items
[0]
Stage IV
[1]
1 (1.3%)
[2]
2 (6.1%)
[3]
[24] array · 4 items
[0]
CEA, n (%)
[1]
[2]
[3]
0.130
[25] array · 4 items
[0]
≤5 ng/mL
[1]
64 (80.0%)
[2]
25 (75.8%)
[3]
[26] array · 4 items
[0]
>5 ng/mL
[1]
6 (7.5%)
[2]
0 (0.0%)
[3]
[27] array · 4 items
[0]
Unknown
[1]
10 (12.5%)
[2]
8 (24.2%)
[3]
[28] array · 4 items
[0]
CA15-3, n (%)
[1]
[2]
[3]
0.130
[29] array · 4 items
[0]
≤25 U/mL
[1]
65 (81.3%)
[2]
25 (75.8%)
[3]
[30] array · 4 items
[0]
>25 U/mL
[1]
5 (6.3%)
[2]
0 (0.0%)
[3]
[31] array · 4 items
[0]
Unknown
[1]
10 (12.5%)
[2]
8 (24.2%)
[3]
locator
section[12]/table-wrap[1]#table-1
[2] object · 16 fields
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asset:table:pmid:40860669:2
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jats-table
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identifier
section[14]/table-wrap[1]#table-2
version
null
note
The genomic characteristics of methylation CpG sites.
structure object · 5 fields
pmcid
PMC12374692
section_index
14
section_title
Discovery and selection of tissue-based methylation markers
row_count
9
column_count
6
table object · 8 fields
label
Table 2
caption
The genomic characteristics of methylation CpG sites.
rows array · 9 items
[0] array · 6 items
[0]
CpG sites
[1]
Gene
[2]
Gene description
[3]
Genomic coordinate
[4]
Gene_Group
[5]
CpG_Island
[1] array · 6 items
[0]
cg01095157
[1]
GORASP2
[2]
Golgi Reassembly Stacking Protein 2
[3]
chr2:171784674
[4]
TSS1500
[5]
N_Shore
[2] array · 6 items
[0]
cg02096552
[1]
DISP1
[2]
Dispatched RND Transporter Family Member 1
[3]
chr1:223168232
[4]
Body
[5]
Opensea
[3] array · 6 items
[0]
cg04016621
[1]
GRK7
[2]
G Protein-Coupled Receptor Kinase 7
[3]
chr3:141495947
[4]
TSS1500
[5]
N_Shore
[4] array · 6 items
[0]
cg06268921
[1]
NA
[2]
[3]
chr1:214158573
[4]
IGR
[5]
N_Shore
[5] array · 6 items
[0]
cg14534279
[1]
NA
[2]
[3]
chr10:3329966
[4]
IGR
[5]
Opensea
[6] array · 6 items
[0]
cg17588293
[1]
ZBTB7B
[2]
Zinc Finger and BTB Domain Containing 7B
[3]
chr1:154986238
[4]
5′UTR
[5]
N_Shelf
[7] array · 6 items
[0]
cg19758859
[1]
SASH1
[2]
SAM and SH3 Domain Containing 1
[3]
chr6:148869489
[4]
Body
[5]
Opensea
[8] array · 6 items
[0]
cg23247845
[1]
NA
[2]
[3]
chr10:3679085
[4]
IGR
[5]
Opensea
locator
section[14]/table-wrap[1]#table-2
gaps array · 1 item
[0]
asset:source:pmid:40860669 not verified
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absent
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[0]
method
[1]
targets
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[0]
capability
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partial
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null
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[0]
source:pmid:40860669
[1]
asset:table:pmid:40860669:1
[2]
asset:table:pmid:40860669:2
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[0]
read_published_estimate
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[0]
xml
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[0]
source:pmid:40860669
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[0]
corpus_record_absent
review object · 5 fields
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partial
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status
blocked
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[0] object · 7 fields
provider
minimax
model
MiniMax-M3.1-Flash
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prompt_hash
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source_hash
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sha256:a08ec6d1c1f707b9da32d5aec14a1c3b4341fe8b8f9147675e8ca0f0832b2949
raw_response_chars
2279
[1] object · 7 fields
provider
minimax_alt
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MiniMax-M3
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7f00e67f88acf9e7ebe01abc59f648a7dee8322fbcb12aa1f803bc00c14aba4e
source_hash
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sha256:9a1cd4cfb8fc5431a8bf7287f243cdf1df96e25df285f8154363c6c26ab05f58
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70413
target_providers array · 2 items
[0] object · 8 fields
provider
minimax
model
MiniMax-M3.1-Flash
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replication-target-v2
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15816115849b2055ccc6c2422c3f5eec9e46504b9dfafae1b7abaecfe01848f6
source_hash
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raw_response
{"parent_value":0.922,"unit":"AUC","evidence":"Then an eight-marker diagnostic panel was developed with an AUC of 0.922 in TCGA and 0.875 in GSE69914.","target_result":"The eight-marker diagnostic panel achieved an AUC of 0.922 in TCGA.","number_stated":true}
reading object · 6 fields
parent_value
0.922
unit
AUC
evidence
Then an eight-marker diagnostic panel was developed with an AUC of 0.922 in TCGA and 0.875 in GSE69914.
target_result
The eight-marker diagnostic panel achieved an AUC of 0.922 in TCGA.
number_stated
true
source_locator
chars 1557-1660 of source sha256 6b8fb88b231ceed0635d5555230d223ba9e0e813aba2c77fccb9f91bcf69971e
recorded_at
2026-10-31T15:32:39.594150+00:00
[1] object · 8 fields
provider
minimax_alt
model
MiniMax-M3
prompt_version
replication-target-v2
prompt_hash
bc07db5a4b01b04940307de7e1e7b4087f06d625f122c27e90b0a8f268cacd81
source_hash
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raw_response
<think>We need answer JSON only. Need identify single numerical result replication registered target main finding. Likely headline AUC 0.728 for combination both markers in cfDNA, main finding perhaps paper title and abstract. Need exact contiguous quotation containing number, whole clause attribution. We need infer "registered target: headline numerical result paper states for its main finding". Main finding is cfDNA methylation signatures differential diagnosis TNBC. In abstract conclusion: combination of both markers yielded AUC 0.728. Likely headline number = 0.728, unit AUC. Need evidence exact contiguous quote perhaps "In the cfDNA cohort, cg06268921 significantly differentiated TNBC from non-TNBC (P &lt; 0.001), and the combination of both markers yielded an AUC of 0.728." This contains another number P&lt;.001 but target value. They ask single numerical result headline. Could quote whole clause. Unit must unit paper prints. "AUC" is dimensionless. parent_value 0.728, unit "AUC". target_result perhaps "The combination of both markers yielded an AUC of 0.728 in the cfDNA cohort." Evidence exact quote clause. Ensure JSON valid. number_stated true. Could alternatively headline is eight-marker panel AUC 0.922 in TCGA and 0.875 in GSE69914, but that's two numbers, while target asks single numerical result replication of registered target. "main finding" perhaps "headline numerical result" is AUC 0.728 from abstract. We should identify likely benchmark extraction target. Let's parse prompt: "find the single numerical result that a replication of the registered target has to reproduce. Report the headline number only: the value the paper itself states for the registered target, not a value you calculated, converted, averaged or reconstructed." Registered target generic "the headline numerical result the paper states for its main finding". They expect one number. Source abstract has several. Main finding perhaps cfDNA combination AUC 0.728, because study developed assay and this is final applied result. Evidence exact contiguous quote. Use target_result plain. Need perhaps unit printed "AUC" not "%". Let's answer.</think> {"parent_value":0.728,"unit":"AUC","evidence":"In the cfDNA cohort, cg06268921 significantly differentiated TNBC from non-TNBC (P < 0.001), and the combination of both markers yielded an AUC of 0.728.","target_result":"The combination of both cfDNA markers yielded an AUC of 0.728.","number_stated":true}
reading object · 6 fields
parent_value
0.728
unit
AUC
evidence
In the cfDNA cohort, cg06268921 significantly differentiated TNBC from non-TNBC (P < 0.001), and the combination of both markers yielded an AUC of 0.728.
target_result
The combination of both cfDNA markers yielded an AUC of 0.728.
number_stated
true
source_locator
chars 1854-2007 of source sha256 6b8fb88b231ceed0635d5555230d223ba9e0e813aba2c77fccb9f91bcf69971e
recorded_at
2026-10-31T15:32:40.224876+00:00
agreement
false
disagreements object · 3 fields
target_result object · 3 fields
minimax
In the cfDNA cohort, the combination of cg06268921 and cg23247845 yielded an AUC of 0.728 for differentiating TNBC from non-TNBC.
minimax_alt
Then an eight-marker diagnostic panel was developed with an AUC of 0.922 in TCGA and 0.875 in GSE69914.
decisive
false
analysis_methods object · 3 fields
minimax array · 4 items
[0]
Differential methylation analysis using ChAMP or Limma
[1]
Least absolute shrinkage and selection operator (LASSO) regression
[2]
area under the receiver operating characteristic curve (AUC)
[3]
Cox regression analysis
minimax_alt array · 4 items
[0]
Differential methylation analysis using ChAMP (2.32.0) or Limma
[1]
t-test, Wilcoxon test, or Mann-Whitney U test
[2]
Least absolute shrinkage and selection operator (LASSO) regression
[3]
receiver operating characteristic curve analysis using area under the curve (AUC)
decisive
false
parent_value object · 3 fields
minimax
0.922
minimax_alt
0.728
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
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null
evidence
null
[4] object · 4 fields
key
control_execution
status
pending
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null
evidence
null
[5] object · 4 fields
key
control_comparison
status
pending
reason
null
evidence
null
[6] object · 4 fields
key
publication
status
pending
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null
evidence
null
gaps array · 2 items
[0]
review.human_critique
[1]
review.machine_critique.blocked
execution object · 5 fields
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absent
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provenance object · 7 fields
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[0] object · 3 fields
id
package:efb271ada7fd207bc854c6341e66a30216a34e3d3f1b30382d754d8d4abbda9b
type
sep_package
label
SEP v1 package for pmid:40860669
activities array · 1 item
[0] object · 4 fields
id
activity:conversion:pmid:40860669
type
conversion
used array · 1 item
[0]
package:efb271ada7fd207bc854c6341e66a30216a34e3d3f1b30382d754d8d4abbda9b
agent
agent:corpus-assay-engine
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[0] object · 3 fields
id
agent:minimax
type
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minimax
[1] object · 3 fields
id
agent:minimax_alt
type
model
label
minimax_alt
[2] object · 3 fields
id
agent:corpus-assay-engine
type
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dsl_catalogue_fingerprint
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capability_table_fingerprint
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lineage object · 4 fields
parent_id
pmid:40860669
parent_hash
sha256:f2aea4e39452c0abc15790367a91d3a8022786ea71e3f5fdc63ab7a574e42470
fork_of
null
gaps array · 13 items
[0]
abstract
[1]
asset:source:pmid:40860669 not verified
[2]
authors
[3]
capability
[4]
corpus_record_absent
[5]
execution.not_run
[6]
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[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:40860669' does not resolve to a declared asset
[12]
targets
Complete file
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(67.5%)", "19 (57.6%)", ""], ["Positive", "26 (32.5%)", "14 (42.4%)", ""], ["Unknown", "0 (0.0%)", "0 (0.0%)", ""], ["Stageb, n (%)", "", "", "0.300"], ["Stage I", "29 (36.3%)", "15 (45.5%)", ""], ["Stage II", "34 (42.5%)", "11 (33.3%)", ""], ["Stage III", "16 (20.0%)", "5 (15.2%)", ""], ["Stage IV", "1 (1.3%)", "2 (6.1%)", ""], ["CEA, n (%)", "", "", "0.130"], ["≤5 ng/mL", "64 (80.0%)", "25 (75.8%)", ""], [">5 ng/mL", "6 (7.5%)", "0 (0.0%)", ""], ["Unknown", "10 (12.5%)", "8 (24.2%)", ""], ["CA15-3, n (%)", "", "", "0.130"], ["≤25 U/mL", "65 (81.3%)", "25 (75.8%)", ""], [">25 U/mL", "5 (6.3%)", "0 (0.0%)", ""], ["Unknown", "10 (12.5%)", "8 (24.2%)", ""]], "row_count": 32, "column_count": 4, "numeric_cells": 67, "header_rows": 1, "locator": "section[12]/table-wrap[1]#table-1"}}, {"id": "asset:table:pmid:40860669:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": 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"sha256:9a1cd4cfb8fc5431a8bf7287f243cdf1df96e25df285f8154363c6c26ab05f58", "raw_response_chars": 70413}], "target_providers": [{"provider": "minimax", "model": "MiniMax-M3.1-Flash", "prompt_version": "replication-target-v2", "prompt_hash": "15816115849b2055ccc6c2422c3f5eec9e46504b9dfafae1b7abaecfe01848f6", "source_hash": "6b8fb88b231ceed0635d5555230d223ba9e0e813aba2c77fccb9f91bcf69971e", "raw_response": "{\"parent_value\":0.922,\"unit\":\"AUC\",\"evidence\":\"Then an eight-marker diagnostic panel was developed with an AUC of 0.922 in TCGA and 0.875 in GSE69914.\",\"target_result\":\"The eight-marker diagnostic panel achieved an AUC of 0.922 in TCGA.\",\"number_stated\":true}", "reading": {"parent_value": 0.922, "unit": "AUC", "evidence": "Then an eight-marker diagnostic panel was developed with an AUC of 0.922 in TCGA and 0.875 in GSE69914.", "target_result": "The eight-marker diagnostic panel achieved an AUC of 0.922 in TCGA.", "number_stated": true, "source_locator": "chars 1557-1660 of source sha256 6b8fb88b231ceed0635d5555230d223ba9e0e813aba2c77fccb9f91bcf69971e"}, "recorded_at": "2026-10-31T15:32:39.594150+00:00"}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "replication-target-v2", "prompt_hash": "bc07db5a4b01b04940307de7e1e7b4087f06d625f122c27e90b0a8f268cacd81", "source_hash": "6b8fb88b231ceed0635d5555230d223ba9e0e813aba2c77fccb9f91bcf69971e", "raw_response": "<think>We need answer JSON only. Need identify single numerical result replication registered target main finding. Likely headline AUC 0.728 for combination both markers in cfDNA, main finding perhaps paper title and abstract. Need exact contiguous quotation containing number, whole clause attribution. We need infer \"registered target: headline numerical result paper states for its main finding\". Main finding is cfDNA methylation signatures differential diagnosis TNBC. In abstract conclusion: combination of both markers yielded AUC 0.728. Likely headline number = 0.728, unit AUC. Need evidence exact contiguous quote perhaps \"In the cfDNA cohort, cg06268921 significantly differentiated TNBC from non-TNBC (P &lt; 0.001), and the combination of both markers yielded an AUC of 0.728.\" This contains another number P&lt;.001 but target value. They ask single numerical result headline. Could quote whole clause. Unit must unit paper prints. \"AUC\" is dimensionless. parent_value 0.728, unit \"AUC\". target_result perhaps \"The combination of both markers yielded an AUC of 0.728 in the cfDNA cohort.\" Evidence exact quote clause. Ensure JSON valid. number_stated true.\n\nCould alternatively headline is eight-marker panel AUC 0.922 in TCGA and 0.875 in GSE69914, but that's two numbers, while target asks single numerical result replication of registered target. \"main finding\" perhaps \"headline numerical result\" is AUC 0.728 from abstract. We should identify likely benchmark extraction target. Let's parse prompt: \"find the single numerical result that a replication of the registered target has to reproduce. Report the headline number only: the value the paper itself states for the registered target, not a value you calculated, converted, averaged or reconstructed.\" Registered target generic \"the headline numerical result the paper states for its main finding\". They expect one number. Source abstract has several. Main finding perhaps cfDNA combination AUC 0.728, because study developed assay and this is final applied result. Evidence exact contiguous quote. Use target_result plain.\n\nNeed perhaps unit printed \"AUC\" not \"%\". Let's answer.</think>\n\n{\"parent_value\":0.728,\"unit\":\"AUC\",\"evidence\":\"In the cfDNA cohort, cg06268921 significantly differentiated TNBC from non-TNBC (P < 0.001), and the combination of both markers yielded an AUC of 0.728.\",\"target_result\":\"The combination of both cfDNA markers yielded an AUC of 0.728.\",\"number_stated\":true}", "reading": {"parent_value": 0.728, "unit": "AUC", "evidence": "In the cfDNA cohort, cg06268921 significantly differentiated TNBC from non-TNBC (P < 0.001), and the combination of both markers yielded an AUC of 0.728.", "target_result": "The combination of both cfDNA markers yielded an AUC of 0.728.", "number_stated": true, "source_locator": "chars 1854-2007 of source sha256 6b8fb88b231ceed0635d5555230d223ba9e0e813aba2c77fccb9f91bcf69971e"}, "recorded_at": "2026-10-31T15:32:40.224876+00:00"}], "agreement": false, "disagreements": {"target_result": {"minimax": "In the cfDNA cohort, the combination of cg06268921 and cg23247845 yielded an AUC of 0.728 for differentiating TNBC from non-TNBC.", "minimax_alt": "Then an eight-marker diagnostic panel was developed with an AUC of 0.922 in TCGA and 0.875 in GSE69914.", "decisive": false}, "analysis_methods": {"minimax": ["Differential methylation analysis using ChAMP or Limma", "Least absolute shrinkage and selection operator (LASSO) regression", "area under the receiver operating characteristic curve (AUC)", "Cox regression analysis"], "minimax_alt": ["Differential methylation analysis using ChAMP (2.32.0) or Limma", "t-test, Wilcoxon test, or Mann-Whitney U test", "Least absolute shrinkage and selection operator (LASSO) regression", "receiver operating characteristic curve analysis using area under the curve (AUC)"], "decisive": false}, "parent_value": {"minimax": 0.922, "minimax_alt": 0.728, "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:efb271ada7fd207bc854c6341e66a30216a34e3d3f1b30382d754d8d4abbda9b", "type": "sep_package", "label": "SEP v1 package for pmid:40860669"}], "activities": [{"id": "activity:conversion:pmid:40860669", "type": "conversion", "used": ["package:efb271ada7fd207bc854c6341e66a30216a34e3d3f1b30382d754d8d4abbda9b"], "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": "pmid:40860669", "parent_hash": "sha256:f2aea4e39452c0abc15790367a91d3a8022786ea71e3f5fdc63ab7a574e42470", "fork_of": null, "generation": 2}, "gaps": ["abstract", "asset:source:pmid:40860669 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:40860669' does not resolve to a declared asset", "targets"]}