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

pmid:32824926

Identification of MicroRNA-Related Tumorigenesis Variants and Genes in the Cancer Genome Atlas (TCGA) Data.

Chang Li · Brian Wu · Han Han · Jeff Zhao · Yongsheng Bai · Xiaoming Liu

Genes · 2020 doi:10.3390/genes11090953

Paper

complete

Experiment

partial

Data

partial

Analysis

complete

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:32824926
kind
science-record
content_hash
sha256:0c970f58a8f47dc318672b8f2fb5524687b263d9fbc11ab0a77e63a299872d82
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:41:08Z
updated_at
2026-11-01T21:23:40Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Identification of MicroRNA-Related Tumorigenesis Variants and Genes in the Cancer Genome Atlas (TCGA) Data.
doi
10.3390/genes11090953
pmid
32824926
authors array · 6 items
[0]
Chang Li
[1]
Brian Wu
[2]
Han Han
[3]
Jeff Zhao
[4]
Yongsheng Bai
[5]
Xiaoming Liu
journal
Genes
year
2020
abstract
MicroRNAs (miRNAs) are a class of small non-coding RNA that can down-regulate their targets by selectively binding to the 3' untranslated region (3'UTR) of most messenger RNAs (mRNAs) in the human genome. Single nucleotide variants (SNVs) located in miRNA target sites (MTS) can disrupt the binding of targeting miRNAs. Anti-correlated miRNA-mRNA pairs between normal and tumor tissues obtained from The Cancer Genome Atlas (TCGA) can reveal important information behind these SNVs on MTS and their associated oncogenesis. In this study, using previously identified anti-correlated miRNA-mRNA pairs in 15 TCGA cancer types and publicly available variant annotation databases, namely dbNSFP (database for nonsynonymous SNPs' functional predictions) and dbMTS (database of miRNA target site SNVs), we identified multiple functional variants and their gene products that could be associated with various types of cancers. We found two genes from dbMTS and 33 from dbNSFP that passed our stringent filtering criteria (e.g., pathogenicity). Specifically, from dbMTS, we identified 23 candidate genes, two of which (BMPR1A and XIAP) were associated with diseases that increased the risk of cancer in patients. From dbNSFP, we identified 65 variants located in 33 genes that were likely pathogenic and had a potential causative relationship with cancer. This study provides a novel way of utilizing TCGA data and integrating multiple publicly available databases to explore cancer genomics.
claims array · 2 items
[0] object · 6 fields
id
claim-method
statement
Both tools used multivariate Cox regression to campare survival outcomes between patient groups.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:32824926
locator
sections[6] "2.4. Survival Analyses" paragraph 2
quote
Both tools used multivariate Cox regression to campare survival outcomes between patient groups.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
Anti-correlated expressions of 15 cancer types’ miRNA–mRNA pairs from a previous study [2] were extracted from TCGA (http://cancergenome.nih.gov), and a total of 65,535 miRNA–mRNA pairs were taken as candidates to be used in subsequent analyses.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:32824926
locator
sections[2] "2. Materials and Methods" paragraph 2
quote
Anti-correlated expressions of 15 cancer types’ miRNA–mRNA pairs from a previous study [2] were extracted from TCGA (http://cancergenome.nih.gov), and a total of 65,535 miRNA–mRNA pairs were taken as candidates to be used in subsequent analyses.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
partial
objective
null
steps array · 3 items
[0] object · 13 fields
id
read_published_estimate
order
1
name
Read the published estimate from the source
kind
other
state
complete
blocked_on
null
description
The claim, method and evidence span published with the source article.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:32824926
outputs array · 1 item
[0]
the published estimate and its evidence
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
id
obtain_source_data
order
2
name
Obtain the source data from the named repository
kind
data-preparation
state
blocked
blocked_on
data:accession_absent
description
The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
parameters object · 0 fields
inputs array · 0 items
outputs array · 1 item
[0]
the source data with its repository provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
id
run_analysis
order
3
name
Run the published analysis
kind
analysis
state
complete
blocked_on
null
description
Apply the paper's statistical method to the resolved series and compare the result with the published target.
parameters object · 0 fields
inputs array · 0 items
outputs array · 1 item
[0]
the replicated result and its comparison
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 1 item
[0]
step:obtain_source_data blocked on data:accession_absent
data object · 3 fields
state
partial
assets array · 4 items
[0] object · 15 fields
id
source:pmid:32824926
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.3390/genes11090953
sha256
sha256:7948ab97464c25a7864f67460b825be31e91c686f62fca4dd1b849c6a273df04
bytes
27389
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.3390/genes11090953
version
null
note
Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
structure object · 4 fields
pmcid
PMC7565843
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 16 fields
id
asset:table:pmid:32824926:1
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:5bbf8feab0afbba5eca07f9989c52c6ada1f0f4fe467887b62d55a6c0a351c5d
bytes
1514
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[8]/table-wrap[1]#genes-11-00953-t001
version
null
note
Genes harboring 24 variants and their associated TCGA(The Cancer Genome Atlas) cancer types with disrupted miRNAs.
structure object · 5 fields
pmcid
PMC7565843
section_index
8
section_title
3.1. Twenty four Non-Coding SNVs were Identified at Potential miRNA Target Sites
row_count
24
column_count
3
table object · 8 fields
label
Table 1
caption
Genes harboring 24 variants and their associated TCGA(The Cancer Genome Atlas) cancer types with disrupted miRNAs.
rows array · 24 items
[0] array · 3 items
[0]
Gene Symbol
[1]
Cancer Type *
[2]
Disrupted miRNAs
[1] array · 3 items
[0]
ACVR2B
[1]
BRCA, HNSC, STAD
[2]
has-miR-4670
[2] array · 3 items
[0]
ADAM12
[1]
THCA, BRCA, HNSC, LUAD
[2]
has-miR-4726
[3] array · 3 items
[0]
BMPR1A
[1]
LUAD, KICH, KIRC
[2]
has-miR-520f
[4] array · 3 items
[0]
CD93
[1]
BRCA, LIHC, LUAD, LUSC, STAD
[2]
has-miR-1179
[5] array · 3 items
[0]
CDS1
[1]
BRCA, STAD, UCEC, KIRC, KIRP, LUAD
[2]
has-miR-411
[6] array · 3 items
[0]
CHST3
[1]
KIRP, LUAD, STAD
[2]
has-miR-652
[7] array · 3 items
[0]
ELOVL4
[1]
BRCA, UCEC, KIRC
[2]
has-miR-185
[8] array · 3 items
[0]
FAM20B
[1]
KIRP, LUAD, UCEC, BRCA, STAD
[2]
has-miR-649
[9] array · 3 items
[0]
FLRT2
[1]
STAD, BRCA, KIRC, LUAD
[2]
has-miR-5688
[10] array · 3 items
[0]
GIPC2
[1]
LUAD, STAD
[2]
has-miR-4765
[11] array · 3 items
[0]
GPR143
[1]
KIRC, KIRP, LIHC
[2]
has-miR-520f
[12] array · 3 items
[0]
HEMK1
[1]
BRCA, STAD, KIRC, KIRP, LUAD
[2]
has-miR-3911
[13] array · 3 items
[0]
MAFB
[1]
LUAD, PRAD, STAD, BRCA, HNSC, KICH, KIRC
[2]
has-miR-1266
[14] array · 3 items
[0]
PGR
[1]
LUAD, PRAD, BRCA, KIRC
[2]
has-miR-182
[15] array · 3 items
[0]
PRKCA
[1]
BRCA, KIRC, KIRP, LUAD, PRAD
[2]
has-miR-296
[16] array · 3 items
[0]
PTCHD1
[1]
STAD, THCA, BRCA, HNSC
[2]
has-miR-185
[17] array · 3 items
[0]
SCN2B
[1]
LUAD, PRAD, STAD, BRCA
[2]
has-miR-141
[18] array · 3 items
[0]
SLC30A7
[1]
LUAD, PRAD, KICH, KIRC, KIRP, STAD, BRCA
[2]
has-miR-152
[19] array · 3 items
[0]
SLC39A8
[1]
LUAD, LUSC, PRAD
[2]
has-miR-141
[20] array · 3 items
[0]
TLL2
[1]
LUAD, STAD, BRCA, COAD, KIRC, KIRP
[2]
has-miR-29a
[21] array · 3 items
[0]
TRAM2
[1]
LUAD, PRAD, STAD, BRCA
[2]
has-miR-625
[22] array · 3 items
[0]
XIAP
[1]
BRCA, KIRP, LUAD, PRAD
[2]
has-miR-580
[23] array · 3 items
[0]
ZDHHC15
[1]
STAD, BRCA, KIRC, LUAD, PRAD
[2]
has-miR-367
locator
section[8]/table-wrap[1]#genes-11-00953-t001
[2] object · 16 fields
id
asset:table:pmid:32824926:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:8366f2a01ef6dce1b58fe6788413d150318972efe84fb3d7695bf967d09c5fe1
bytes
1156
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[9]/table-wrap[1]#genes-11-00953-t002
version
null
note
Somatic SNVs located in miRNA target sites (MTS) identified by CLASH (cross-linking, ligation, and sequencing of hybrids) experiments.
structure object · 5 fields
pmcid
PMC7565843
section_index
9
section_title
3.2. Two Hundred and Thirty Three Somatic SNVs were Identified in Experimentally Identified miRNA Target Sites
row_count
12
column_count
7
table object · 8 fields
label
Table 2
caption
Somatic SNVs located in miRNA target sites (MTS) identified by CLASH (cross-linking, ligation, and sequencing of hybrids) experiments.
rows array · 12 items
[0] array · 7 items
[0]
Chromosome
[1]
Position
[2]
Ref. Allele
[3]
Alt. Allele
[4]
Gene Symbol
[5]
MiRNA
[6]
Cancer Classification((Tissue)(Histology))
[1] array · 7 items
[0]
1
[1]
154992969
[2]
G
[3]
C
[4]
FLAD1
[5]
let-7b
[6]
(breast)(carcinoma)
[2] array · 7 items
[0]
3
[1]
49015647
[2]
G
[3]
A
[4]
WDR6
[5]
miR-222
[6]
(large_intestine)(carcinoma)
[3] array · 7 items
[0]
3
[1]
57559757
[2]
A
[3]
G
[4]
PDE12
[5]
miR-484
[6]
(skin)(malignant_melanoma)
[4] array · 7 items
[0]
5
[1]
93593940
[2]
G
[3]
A
[4]
NR2F1
[5]
miR-149
[6]
(oesophagus)(carcinoma)
[5] array · 7 items
[0]
5
[1]
131204977
[2]
A
[3]
T
[4]
LYRM7
[5]
miR-30e
[6]
(liver)(carcinoma)
[6] array · 7 items
[0]
6
[1]
30724942
[2]
T
[3]
C
[4]
TUBB
[5]
miR-708
[6]
(kidney)(neoplasm)
[7] array · 7 items
[0]
6
[1]
43504866
[2]
A
[3]
T
[4]
TJAP1
[5]
miR-744
[6]
(ovary)(neoplasm)
[8] array · 7 items
[0]
7
[1]
56063723
[2]
T
[3]
C
[4]
CCT6A
[5]
miR-3663-3p
[6]
(ovary)(neoplasm)
[9] array · 7 items
[0]
9
[1]
128695535
[2]
G
[3]
T
[4]
SET
[5]
miR-185
[6]
(ovary)(neoplasm)
[10] array · 7 items
[0]
16
[1]
68835430
[2]
C
[3]
T
[4]
CDH1
[5]
miR-30c
[6]
(pancreas)(carcinoma)
[11] array · 7 items
[0]
19
[1]
29675270
[2]
C
[3]
A
[4]
PLEKHF1
[5]
miR-331-3p
[6]
(liver)(carcinoma)
locator
section[9]/table-wrap[1]#genes-11-00953-t002
[3] object · 16 fields
id
asset:table:pmid:32824926:3
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:c155ee605c8b9ce8ef5b0bfb244874a74375af9ecb65ba4a554c2bceee538819
bytes
745
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[11]/table-wrap[1]#genes-11-00953-t003
version
null
note
COSMIC results for 65 nonsynonymous variants identified from dbNSFP.
structure object · 5 fields
pmcid
PMC7565843
section_index
11
section_title
3.4. Biological Pathway Analysis
row_count
10
column_count
2
table object · 8 fields
label
Table 3
caption
COSMIC results for 65 nonsynonymous variants identified from dbNSFP.
rows array · 10 items
[0] array · 2 items
[0]
Gene Symbol
[1]
Tissue Related to Cancer
[1] array · 2 items
[0]
APC
[1]
large intestine, stomach, lung, thyroid, urinary tract
[2] array · 2 items
[0]
ATM
[1]
lymphoid, lung, thyroid, large intestine
[3] array · 2 items
[0]
CHEK2
[1]
large intestine, urinary tract
[4] array · 2 items
[0]
MET
[1]
endometrium, autonomic ganglia, pancreas, lung, large intestine vulva, cervix, kidney, thyroid, ovary, adrenal gland
[5] array · 2 items
[0]
NF1
[1]
small intestine
[6] array · 2 items
[0]
PTCH1
[1]
ovary, skin
[7] array · 2 items
[0]
RET
[1]
thyroid, lung, lymphoid, adrenal gland
[8] array · 2 items
[0]
TSC2
[1]
central nervous system, stomach, cervix
[9] array · 2 items
[0]
WT1
[1]
skin, kidney, lymphoid
locator
section[11]/table-wrap[1]#genes-11-00953-t003
gaps array · 0 items
analysis object · 4 fields
state
complete
methods array · 1 item
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
verbatim
quote
Both tools used multivariate Cox regression to campare survival outcomes between patient groups.
targets array · 0 items
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
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
blocked
tier
R4
blocked_on
data:accession_absent
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
R4
reachable
false
accessions array · 0 items
resolved_accessions array · 0 items
statements array · 1 item
[0]
Anti-correlated expressions of 15 cancer types’ miRNA–mRNA pairs from a previous study [2] were extracted from TCGA (http://cancergenome.nih.gov), and a total of 65,535 miRNA–mRNA pairs were taken as candidates to be used in subsequent analyses.
basis
The paper names no accession to its source data, so the data has to come from the authors.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
cox_ph
assets array · 4 items
[0]
source:pmid:32824926
[1]
asset:table:pmid:32824926:1
[2]
asset:table:pmid:32824926:2
[3]
asset:table:pmid:32824926:3
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:None
gaps array · 1 item
[0]
data:accession_absent
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-10-31T18:22:13Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
null
calls
3
usage object · 3 fields
prompt_tokens
23844
completion_tokens
1826
cached_tokens
7944
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:32824926
type
paper
label
pmid:32824926
[1] object · 3 fields
id
source:pmid:32824926
type
manuscript
label
PMID 32824926 full text
[2] object · 3 fields
id
data:geo:None
type
dataset
label
GEO None
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:32824926
type
paper
label
pmid:32824926
[1] object · 3 fields
id
source:pmid:32824926
type
manuscript
label
PMID 32824926 full text
[2] object · 3 fields
id
data:geo:None
type
dataset
label
GEO None
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-32824926
type
extraction
used array · 1 item
[0]
source:pmid:32824926
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-None
type
accession_resolution
used array · 1 item
[0]
data:geo:None
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:32824926
parent_hash
sha256:3e70adc6d6b6f53b82c581f79724b476fb6f075165d1f32b1935b5e718679321
fork_of
null
gaps array · 5 items
[0]
execution.not_run
[1]
review.human_critique
[2]
review.independent_reader
[3]
review.machine_critique
[4]
step:obtain_source_data blocked on data:accession_absent
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
cox_ph
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Both tools used multivariate Cox regression to campare survival outcomes between patient groups.
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32824926", "kind": "science-record", "revision": 6, "content_hash": "sha256:0c970f58a8f47dc318672b8f2fb5524687b263d9fbc11ab0a77e63a299872d82", "created_at": "2026-11-01T15:41:08Z", "updated_at": "2026-11-01T21:23:40Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of MicroRNA-Related Tumorigenesis Variants and Genes in the Cancer Genome Atlas (TCGA) Data.", "doi": "10.3390/genes11090953", "pmid": "32824926", "authors": ["Chang Li", "Brian Wu", "Han Han", "Jeff Zhao", "Yongsheng Bai", "Xiaoming Liu"], "journal": "Genes", "year": 2020, "abstract": "MicroRNAs (miRNAs) are a class of small non-coding RNA that can down-regulate their targets by selectively binding to the 3' untranslated region (3'UTR) of most messenger RNAs (mRNAs) in the human genome. Single nucleotide variants (SNVs) located in miRNA target sites (MTS) can disrupt the binding of targeting miRNAs. Anti-correlated miRNA-mRNA pairs between normal and tumor tissues obtained from The Cancer Genome Atlas (TCGA) can reveal important information behind these SNVs on MTS and their associated oncogenesis. In this study, using previously identified anti-correlated miRNA-mRNA pairs in 15 TCGA cancer types and publicly available variant annotation databases, namely dbNSFP (database for nonsynonymous SNPs' functional predictions) and dbMTS (database of miRNA target site SNVs), we identified multiple functional variants and their gene products that could be associated with various types of cancers. We found two genes from dbMTS and 33 from dbNSFP that passed our stringent filtering criteria (e.g., pathogenicity). Specifically, from dbMTS, we identified 23 candidate genes, two of which (BMPR1A and XIAP) were associated with diseases that increased the risk of cancer in patients. From dbNSFP, we identified 65 variants located in 33 genes that were likely pathogenic and had a potential causative relationship with cancer. This study provides a novel way of utilizing TCGA data and integrating multiple publicly available databases to explore cancer genomics.", "claims": [{"id": "claim-method", "statement": "Both tools used multivariate Cox regression to campare survival outcomes between patient groups.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32824926", "locator": "sections[6] \"2.4. Survival Analyses\" paragraph 2", "quote": "Both tools used multivariate Cox regression to campare survival outcomes between patient groups."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Anti-correlated expressions of 15 cancer types’ miRNA–mRNA pairs from a previous study [2] were extracted from TCGA (http://cancergenome.nih.gov), and a total of 65,535 miRNA–mRNA pairs were taken as candidates to be used in subsequent analyses.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32824926", "locator": "sections[2] \"2. Materials and Methods\" paragraph 2", "quote": "Anti-correlated expressions of 15 cancer types’ miRNA–mRNA pairs from a previous study [2] were extracted from TCGA (http://cancergenome.nih.gov), and a total of 65,535 miRNA–mRNA pairs were taken as candidates to be used in subsequent analyses."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:32824926"], "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": "blocked", "blocked_on": "data:accession_absent", "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": [], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": [], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:obtain_source_data blocked on data:accession_absent"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:32824926", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3390/genes11090953", "sha256": "sha256:7948ab97464c25a7864f67460b825be31e91c686f62fca4dd1b849c6a273df04", "bytes": 27389, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3390/genes11090953", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7565843", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "asset:table:pmid:32824926:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:5bbf8feab0afbba5eca07f9989c52c6ada1f0f4fe467887b62d55a6c0a351c5d", "bytes": 1514, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[8]/table-wrap[1]#genes-11-00953-t001", "version": null, "note": "Genes harboring 24 variants and their associated TCGA(The Cancer Genome Atlas) cancer types with disrupted miRNAs.", "structure": {"pmcid": "PMC7565843", "section_index": 8, "section_title": "3.1. Twenty four Non-Coding SNVs were Identified at Potential miRNA Target Sites", "row_count": 24, "column_count": 3}, "table": {"label": "Table 1", "caption": "Genes harboring 24 variants and their associated TCGA(The Cancer Genome Atlas) cancer types with disrupted miRNAs.", "rows": [["Gene Symbol", "Cancer Type *", "Disrupted miRNAs"], ["ACVR2B", "BRCA, HNSC, STAD", "has-miR-4670"], ["ADAM12", "THCA, BRCA, HNSC, LUAD", "has-miR-4726"], ["BMPR1A", "LUAD, KICH, KIRC", "has-miR-520f"], ["CD93", "BRCA, LIHC, LUAD, LUSC, STAD", "has-miR-1179"], ["CDS1", "BRCA, STAD, UCEC, KIRC, KIRP, LUAD", "has-miR-411"], ["CHST3", "KIRP, LUAD, STAD", "has-miR-652"], ["ELOVL4", "BRCA, UCEC, KIRC", "has-miR-185"], ["FAM20B", "KIRP, LUAD, UCEC, BRCA, STAD", "has-miR-649"], ["FLRT2", "STAD, BRCA, KIRC, LUAD", "has-miR-5688"], ["GIPC2", "LUAD, STAD", "has-miR-4765"], ["GPR143", "KIRC, KIRP, LIHC", "has-miR-520f"], ["HEMK1", "BRCA, STAD, KIRC, KIRP, LUAD", "has-miR-3911"], ["MAFB", "LUAD, PRAD, STAD, BRCA, HNSC, KICH, KIRC", "has-miR-1266"], ["PGR", "LUAD, PRAD, BRCA, KIRC", "has-miR-182"], ["PRKCA", "BRCA, KIRC, KIRP, LUAD, PRAD", "has-miR-296"], ["PTCHD1", "STAD, THCA, BRCA, HNSC", "has-miR-185"], ["SCN2B", "LUAD, PRAD, STAD, BRCA", "has-miR-141"], ["SLC30A7", "LUAD, PRAD, KICH, KIRC, KIRP, STAD, BRCA", "has-miR-152"], ["SLC39A8", "LUAD, LUSC, PRAD", "has-miR-141"], ["TLL2", "LUAD, STAD, BRCA, COAD, KIRC, KIRP", "has-miR-29a"], ["TRAM2", "LUAD, PRAD, STAD, BRCA", "has-miR-625"], ["XIAP", "BRCA, KIRP, LUAD, PRAD", "has-miR-580"], ["ZDHHC15", "STAD, BRCA, KIRC, LUAD, PRAD", "has-miR-367"]], "row_count": 24, "column_count": 3, "numeric_cells": 30, "header_rows": 1, "locator": "section[8]/table-wrap[1]#genes-11-00953-t001"}}, {"id": "asset:table:pmid:32824926:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:8366f2a01ef6dce1b58fe6788413d150318972efe84fb3d7695bf967d09c5fe1", "bytes": 1156, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[9]/table-wrap[1]#genes-11-00953-t002", "version": null, "note": "Somatic SNVs located in miRNA target sites (MTS) identified by CLASH (cross-linking, ligation, and sequencing of hybrids) experiments.", "structure": {"pmcid": "PMC7565843", "section_index": 9, "section_title": "3.2. Two Hundred and Thirty Three Somatic SNVs were Identified in Experimentally Identified miRNA Target Sites", "row_count": 12, "column_count": 7}, "table": {"label": "Table 2", "caption": "Somatic SNVs located in miRNA target sites (MTS) identified by CLASH (cross-linking, ligation, and sequencing of hybrids) experiments.", "rows": [["Chromosome", "Position", "Ref. Allele", "Alt. Allele", "Gene Symbol", "MiRNA", "Cancer Classification((Tissue)(Histology))"], ["1", "154992969", "G", "C", "FLAD1", "let-7b", "(breast)(carcinoma)"], ["3", "49015647", "G", "A", "WDR6", "miR-222", "(large_intestine)(carcinoma)"], ["3", "57559757", "A", "G", "PDE12", "miR-484", "(skin)(malignant_melanoma)"], ["5", "93593940", "G", "A", "NR2F1", "miR-149", "(oesophagus)(carcinoma)"], ["5", "131204977", "A", "T", "LYRM7", "miR-30e", "(liver)(carcinoma)"], ["6", "30724942", "T", "C", "TUBB", "miR-708", "(kidney)(neoplasm)"], ["6", "43504866", "A", "T", "TJAP1", "miR-744", "(ovary)(neoplasm)"], ["7", "56063723", "T", "C", "CCT6A", "miR-3663-3p", "(ovary)(neoplasm)"], ["9", "128695535", "G", "T", "SET", "miR-185", "(ovary)(neoplasm)"], ["16", "68835430", "C", "T", "CDH1", "miR-30c", "(pancreas)(carcinoma)"], ["19", "29675270", "C", "A", "PLEKHF1", "miR-331-3p", "(liver)(carcinoma)"]], "row_count": 12, "column_count": 7, "numeric_cells": 34, "header_rows": 1, "locator": "section[9]/table-wrap[1]#genes-11-00953-t002"}}, {"id": "asset:table:pmid:32824926:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:c155ee605c8b9ce8ef5b0bfb244874a74375af9ecb65ba4a554c2bceee538819", "bytes": 745, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[11]/table-wrap[1]#genes-11-00953-t003", "version": null, "note": "COSMIC results for 65 nonsynonymous variants identified from dbNSFP.", "structure": {"pmcid": "PMC7565843", "section_index": 11, "section_title": "3.4. Biological Pathway Analysis", "row_count": 10, "column_count": 2}, "table": {"label": "Table 3", "caption": "COSMIC results for 65 nonsynonymous variants identified from dbNSFP.", "rows": [["Gene Symbol", "Tissue Related to Cancer"], ["APC", "large intestine, stomach, lung, thyroid, urinary tract"], ["ATM", "lymphoid, lung, thyroid, large intestine"], ["CHEK2", "large intestine, urinary tract"], ["MET", "endometrium, autonomic ganglia, pancreas, lung, large intestine vulva, cervix, kidney, thyroid, ovary, adrenal gland"], ["NF1", "small intestine"], ["PTCH1", "ovary, skin"], ["RET", "thyroid, lung, lymphoid, adrenal gland"], ["TSC2", "central nervous system, stomach, cervix"], ["WT1", "skin, kidney, lymphoid"]], "row_count": 10, "column_count": 2, "numeric_cells": 0, "header_rows": 1, "locator": "section[11]/table-wrap[1]#genes-11-00953-t003"}}], "gaps": []}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "survival_analysis", "specific": "cox_proportional_hazards", "label": "Survival analysis", "dsl_operations": ["cox_ph"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Both tools used multivariate Cox regression to campare survival outcomes between patient groups."}}], "targets": [], "gaps": []}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "blocked", "tier": "R4", "blocking_axis": "data", "blocked_on": "data:accession_absent", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["cox_ph"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R4", "reachable": false, "accessions": [], "resolved_accessions": [], "statements": ["Anti-correlated expressions of 15 cancer types’ miRNA–mRNA pairs from a previous study [2] were extracted from TCGA (http://cancergenome.nih.gov), and a total of 65,535 miRNA–mRNA pairs were taken as candidates to be used in subsequent analyses."], "basis": "The paper names no accession to its source data, so the data has to come from the authors."}}, "can_run": {"dsl_operations": ["cox_ph"], "assets": ["source:pmid:32824926", "asset:table:pmid:32824926:1", "asset:table:pmid:32824926:2", "asset:table:pmid:32824926:3"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:None"]}, "gaps": ["data:accession_absent"]}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:22:13Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": null}, "calls": 3, "usage": {"prompt_tokens": 23844, "completion_tokens": 1826, "cached_tokens": 7944}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:32824926", "type": "paper", "label": "pmid:32824926"}, {"id": "source:pmid:32824926", "type": "manuscript", "label": "PMID 32824926 full text"}, {"id": "data:geo:None", "type": "dataset", "label": "GEO None"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:32824926", "type": "paper", "label": "pmid:32824926"}, {"id": "source:pmid:32824926", "type": "manuscript", "label": "PMID 32824926 full text"}, {"id": "data:geo:None", "type": "dataset", "label": "GEO None"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-32824926", "type": "extraction", "used": ["source:pmid:32824926"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-None", "type": "accession_resolution", "used": ["data:geo:None"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:32824926", "parent_hash": "sha256:3e70adc6d6b6f53b82c581f79724b476fb6f075165d1f32b1935b5e718679321", "fork_of": null, "generation": 5}, "gaps": ["execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique", "step:obtain_source_data blocked on data:accession_absent"], "assays": [{"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["cox_ph"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Both tools used multivariate Cox regression to campare survival outcomes between patient groups."], "order_basis": "analysis_only", "id": "assay:1"}]}