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

pmid:38814950

ADAMTSL2 is a potential prognostic biomarker and immunotherapeutic target for colorectal cancer: Bioinformatic analysis and experimental verification.

Zhe Huang · Xu Hu · Yiqiu Wei · Yousheng Lai · Jiaming Qi · Jinglin Pang · Kang Huang · Huagui Li · Pengzhu Cai

PloS one · 2024 doi:10.1371/journal.pone.0303909

Paper

complete

Experiment

complete

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:38814950
kind
science-record
content_hash
sha256:f2707e7d888fddc23018052b015f9a395b05c2aaeb3498a8894edb720587a65c
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T19:20:46Z
updated_at
2026-11-01T22:54:25Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
ADAMTSL2 is a potential prognostic biomarker and immunotherapeutic target for colorectal cancer: Bioinformatic analysis and experimental verification.
doi
10.1371/journal.pone.0303909
pmid
38814950
authors array · 9 items
[0]
Zhe Huang
[1]
Xu Hu
[2]
Yiqiu Wei
[3]
Yousheng Lai
[4]
Jiaming Qi
[5]
Jinglin Pang
[6]
Kang Huang
[7]
Huagui Li
[8]
Pengzhu Cai
journal
PloS one
year
2024
abstract
The ADAMTS Like 2 (ADAMTSL2) mutation has been identified to be associated with different human genetic diseases. The role of ADAMTSL2 is unclear in colorectal cancer (CRC). The study investigated the expression of ADAMTSL2 in both pan cancer and CRC, using data from The Cancer Genome Atlas (TCGA) database to assess its diagnostic value. The study examined the correlation between ADAMTSL2 expression levels and clinical characteristics, as well as prognosis in CRC. The study explored potential regulatory networks involving ADAMTSL2, including its association with immune infiltration, immune checkpoint genes, tumor mutational burden (TMB) / microsatellite instability (MSI), tumor stemness index (mRNAsi), and drug sensitivity in CRC. ADAMTSL2 expression was validated using GSE71187 and quantitative real-time PCR (qRT-PCR). ADAMTSL2 was aberrantly expressed in pan cancer and CRC. An increased level of ADAMTSL2 expression in patients with CRC was significantly associated with the pathologic N stage (p < 0.001), pathologic stage (p < 0.001), age (p < 0.001), histological type (p < 0.001), and neoplasm type (p = 0.001). The high expression of ADAMTSL2 in patients with CRC was found to be significantly associated with a poorer overall survival (OS) (HR: 1.67; 95% CI: 1.18-2.38; p = 0.004), progression-free survival (PFS) (HR: 1.55; 95% CI: 1.14-2.11; p = 0.005) and disease-specific survival (DSS) (HR: 1.83; 95% CI: 1.16-2.89; p = 0.010). The expression of ADAMTSL2 in patients with CRC (p = 0.009) was identified as an independent prognostic determinant. ADAMTSL2 was associated with extracellular matrix receptor (ECM-receptor) interaction, transforming growth factor β (TGF-β) signaling pathway, and more. ADAMTSL2 expression was correlated with immune infiltration, immune checkpoint genes, TMB / MSI and mRNAsi in CRC. ADAMTSL2 expression was significantly and negatively correlated with 1-BET-762, Trametinib, and WZ3105 in CRC. ADAMTSL2 was significantly upregulated in CRC cell lines. The high expression of ADAMTSL2 is significantly correlated with lower OS and immune infiltration of CRC. ADAMTSL2 may be a potential prognostic biomarker and immunotherapeutic target for CRC patients.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
Kaplan-Meier analysis was performed using R software, specifically using the survminer package [3.3.1] and the survival package [3.3.6] [18]. Cox regression analysis was performed using the R software, using the survivor package and the Cox regression module.
kind
methodological
target
null
evidence array · 2 items
[0] object · 3 fields
asset
source:pmid:38814950
locator
sections[7] "Correlation between ADAMTSL2 and prognosis" paragraph 2
quote
Kaplan-Meier analysis was performed using R software, specifically using the survminer package [3.3.1] and the survival package [3.3.6] [18].
[1] object · 3 fields
asset
source:pmid:38814950
locator
sections[7] "Correlation between ADAMTSL2 and prognosis" paragraph 3
quote
Cox regression analysis was performed using the R software, using the survivor package and the Cox regression module.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
A total of 647 CRC tissues and 51 adjacent normal tissues were obtained from patients with CRC (colon & rectal cancer, COAD&READ) [13, 14]. RNAseq data and clinical data in level 3 HTSeq-FPKM format were collected from the TCGA project [15].
kind
methodological
target
null
evidence array · 2 items
[0] object · 3 fields
asset
source:pmid:38814950
locator
sections[3] "Sample collection" paragraph 2
quote
A total of 647 CRC tissues and 51 adjacent normal tissues were obtained from patients with CRC (colon & rectal cancer, COAD&READ) [13, 14].
[1] object · 3 fields
asset
source:pmid:38814950
locator
sections[4] "Data processing" paragraph 2
quote
RNAseq data and clinical data in level 3 HTSeq-FPKM format were collected from the TCGA project [15].
state
complete
[2] object · 6 fields
id
claim-target-result
statement
High ADAMTSL2 expression in CRC was associated with poorer overall survival, progression-free survival, and disease-specific survival.
kind
quantitative
target object · 4 fields
value
95
unit
per cent
tolerance
null
source
The high expression of ADAMTSL2 in patients with CRC was found to be significantly associated with a poorer overall survival (OS) (HR: 1.67; 95% CI: 1.18–2.38; p = 0.004), progression-free survival (PFS) (HR: 1.55; 95% CI: 1.14–2.11; p = 0.005) and disease-specific survival (DSS) (HR: 1.83; 95% CI: 1.16–2.89; p = 0.010).
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:38814950
locator
sections[0] "Abstract" paragraph 1
quote
The high expression of ADAMTSL2 in patients with CRC was found to be significantly associated with a poorer overall survival (OS) (HR: 1.67; 95% CI: 1.18–2.38; p = 0.004), progression-free survival (PFS) (HR: 1.55; 95% CI: 1.14–2.11; p = 0.005) and disease-specific survival (DSS) (HR: 1.83; 95% CI: 1.16–2.89; p = 0.010).
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
High ADAMTSL2 expression in CRC was associated with poorer overall survival, progression-free survival, and disease-specific survival.
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:38814950
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
complete
blocked_on
null
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 · 1 item
[0]
data:geo:GSE71187
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 · 1 item
[0]
data:geo:GSE71187
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 · 0 items
data object · 3 fields
state
partial
assets array · 2 items
[0] object · 15 fields
id
source:pmid:38814950
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1371/journal.pone.0303909
sha256
sha256:e4e52ce05dfbc2b92275d298f0cc35bb81adb9fb38c2046663db9f19435383cc
bytes
32047
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1371/journal.pone.0303909
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
PMC11139340
source
europe_pmc_fulltext
coverage
whole_body_without_references
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE71187
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE71187
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE71187
version
null
note
A total of 647 CRC tissues and 51 adjacent normal tissues were obtained from patients with CRC (colon & rectal cancer, COAD&READ) [13, 14]. RNAseq data and clinical data in level 3 HTSeq-FPKM format were collected from the TCGA project [15].
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
A total of 647 CRC tissues and 51 adjacent normal tissues were obtained from patients with CRC (colon & rectal cancer, COAD&READ) [13, 14]. RNAseq data and clinical data in level 3 HTSeq-FPKM format were collected from the TCGA project [15].
access_statement_kind
repository_route_statement
sample_accessions array · 189 items
[0]
GSM1829199
[1]
GSM1829200
[2]
GSM1829201
[3]
GSM1829202
[4]
GSM1829203
[5]
GSM1829204
[6]
GSM1829205
[7]
GSM1829206
[8]
GSM1829207
[9]
GSM1829208
[10]
GSM1829209
[11]
GSM1829210
[12]
GSM1829211
[13]
GSM1829212
[14]
GSM1829213
[15]
GSM1829214
[16]
GSM1829215
[17]
GSM1829216
[18]
GSM1829217
[19]
GSM1829218
[20]
GSM1829219
[21]
GSM1829220
[22]
GSM1829221
[23]
GSM1829222
[24]
GSM1829223
[25]
GSM1829224
[26]
GSM1829225
[27]
GSM1829226
[28]
GSM1829227
[29]
GSM1829228
[30]
GSM1829229
[31]
GSM1829230
[32]
GSM1829231
[33]
GSM1829232
[34]
GSM1829233
[35]
GSM1829234
[36]
GSM1829235
[37]
GSM1829236
[38]
GSM1829237
[39]
GSM1829238
[40]
GSM1829239
[41]
GSM1829240
[42]
GSM1829241
[43]
GSM1829242
[44]
GSM1829243
[45]
GSM1829244
[46]
GSM1829245
[47]
GSM1829246
[48]
GSM1829247
[49]
GSM1829248
[50]
GSM1829249
[51]
GSM1829250
[52]
GSM1829251
[53]
GSM1829252
[54]
GSM1829253
[55]
GSM1829254
[56]
GSM1829255
[57]
GSM1829256
[58]
GSM1829257
[59]
GSM1829258
[60]
GSM1829259
[61]
GSM1829260
[62]
GSM1829261
[63]
GSM1829262
[64]
GSM1829263
[65]
GSM1829264
[66]
GSM1829265
[67]
GSM1829266
[68]
GSM1829267
[69]
GSM1829268
[70]
GSM1829269
[71]
GSM1829270
[72]
GSM1829271
[73]
GSM1829272
[74]
GSM1829273
[75]
GSM1829274
[76]
GSM1829275
[77]
GSM1829276
[78]
GSM1829277
[79]
GSM1829278
[80]
GSM1829279
[81]
GSM1829280
[82]
GSM1829281
[83]
GSM1829282
[84]
GSM1829283
[85]
GSM1829284
[86]
GSM1829285
[87]
GSM1829286
[88]
GSM1829287
[89]
GSM1829288
[90]
GSM1829289
[91]
GSM1829290
[92]
GSM1829291
[93]
GSM1829292
[94]
GSM1829293
[95]
GSM1829294
[96]
GSM1829295
[97]
GSM1829296
[98]
GSM1829297
[99]
GSM1829298
[100]
GSM1829299
[101]
GSM1829300
[102]
GSM1829301
[103]
GSM1829302
[104]
GSM1829303
[105]
GSM1829304
[106]
GSM1829305
[107]
GSM1829306
[108]
GSM1829307
[109]
GSM1829308
[110]
GSM1829309
[111]
GSM1829310
[112]
GSM1829311
[113]
GSM1829312
[114]
GSM1829313
[115]
GSM1829314
[116]
GSM1829315
[117]
GSM1829316
[118]
GSM1829317
[119]
GSM1829318
[120]
GSM1829319
[121]
GSM1829320
[122]
GSM1829321
[123]
GSM1829322
[124]
GSM1829323
[125]
GSM1829324
[126]
GSM1829325
[127]
GSM1829326
[128]
GSM1829327
[129]
GSM1829328
[130]
GSM1829329
[131]
GSM1829330
[132]
GSM1829331
[133]
GSM1829332
[134]
GSM1829333
[135]
GSM1829334
[136]
GSM1829335
[137]
GSM1829336
[138]
GSM1829337
[139]
GSM1829338
[140]
GSM1829339
[141]
GSM1829340
[142]
GSM1829341
[143]
GSM1829342
[144]
GSM1829343
[145]
GSM1829344
[146]
GSM1829345
[147]
GSM1829346
[148]
GSM1829347
[149]
GSM1829348
[150]
GSM1829349
[151]
GSM1829350
[152]
GSM1829351
[153]
GSM1829352
[154]
GSM1829353
[155]
GSM1829354
[156]
GSM1829355
[157]
GSM1829356
[158]
GSM1829357
[159]
GSM1829358
[160]
GSM1829359
[161]
GSM1829360
[162]
GSM1829361
[163]
GSM1829362
[164]
GSM1829363
[165]
GSM1829364
[166]
GSM1829365
[167]
GSM1829366
[168]
GSM1829367
[169]
GSM1829368
[170]
GSM1829369
[171]
GSM1829370
[172]
GSM1829371
[173]
GSM1829372
[174]
GSM1829373
[175]
GSM1829374
[176]
GSM1829375
[177]
GSM1829376
[178]
GSM1829377
[179]
GSM1829378
[180]
GSM1829379
[181]
GSM1829380
[182]
GSM1829381
[183]
GSM1829382
[184]
GSM1829383
[185]
GSM1829384
[186]
GSM1829385
[187]
GSM1829386
[188]
GSM1829387
sample_count
189
group_sizes
null
group_sizes_basis
null
platform
6480
taxon
Homo sapiens
title
Development of colorectal cancer gene expression signatures from expression profiles of embryonic development, precancer progression and cancer samples
resolution_checked_at
2026-11-01T18:46:34Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 2 items
[0]
asset:data:geo:GSE71187 not downloaded
[1]
asset:data:geo:GSE71187 licence not read
analysis object · 4 fields
state
complete
methods array · 2 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
kaplan_meier
label
Survival analysis
dsl_operations array · 1 item
[0]
survival_km
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
reordered
quote
Kaplan-Meier analysis was performed using R software, specifically using the survminer package [3.3.1] and the survival package [3.3.6] [18]. Cox regression analysis was performed using the R software, using the survivor package and the Cox regression module.
[1] object · 10 fields
id
method-2
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
0.8
band
high
quote
Cox regression
targets array · 1 item
[0] object · 8 fields
id
target-published-estimate
claim_id
claim-target-result
operation
cox_ph
unit
per cent
tolerance
null
state
complete
note
The published estimate as the reader quoted it from the paper. No tolerance is published because the paper states none.
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
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
survival_km
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: kaplan_meier.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 1 item
[0]
GSE71187
resolved_accessions array · 1 item
[0]
GSE71187
statements array · 1 item
[0]
A total of 647 CRC tissues and 51 adjacent normal tissues were obtained from patients with CRC (colon & rectal cancer, COAD&READ) [13, 14]. RNAseq data and clinical data in level 3 HTSeq-FPKM format were collected from the TCGA project [15].
basis
The paper names GSE71187 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
survival_km
assets array · 2 items
[0]
source:pmid:38814950
[1]
data:geo:GSE71187
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:GSE71187
gaps array · 0 items
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
2026-11-01T19:20:04Z
independence
single_reader
evidence_check object · 2 fields
method
reordered
availability
null
calls
5
usage object · 3 fields
prompt_tokens
10523
completion_tokens
1456
cached_tokens
264
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:38814950
type
paper
label
pmid:38814950
[1] object · 3 fields
id
source:pmid:38814950
type
manuscript
label
PMID 38814950 full text
[2] object · 3 fields
id
data:geo:GSE71187
type
dataset
label
GEO GSE71187
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:38814950
type
paper
label
pmid:38814950
[1] object · 3 fields
id
source:pmid:38814950
type
manuscript
label
PMID 38814950 full text
[2] object · 3 fields
id
data:geo:GSE71187
type
dataset
label
GEO GSE71187
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-38814950
type
extraction
used array · 1 item
[0]
source:pmid:38814950
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE71187
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE71187
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:38814950
parent_hash
sha256:3ad56eb7b932094fbd68fc20a3c706efe72208c653fbc452d059b7d1d65fa75a
fork_of
null
gaps array · 6 items
[0]
asset:data:geo:GSE71187 licence not read
[1]
asset:data:geo:GSE71187 not downloaded
[2]
execution.not_run
[3]
review.human_critique
[4]
review.independent_reader
[5]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_id
rna_seq
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
d from the GSE71187 dataset. Data processing RNAseq data and clinical data in level 3 HTSeq-FPKM
[1]
mic variants of ADAMTSL2 in CRC patients The RNAseq data (level3), the mutation maf data and the
order_basis
paper_text_order:3028
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
survival_km
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Kaplan-Meier analysis was performed using R software, specifically using the survminer package [3.3.1] and the survival package [3.3.6] [18]. Cox regression analysis was performed using the R software, using the survivor package and the Cox regression module.
order_basis
consumes_earlier_output
id
assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38814950", "kind": "science-record", "revision": 3, "content_hash": "sha256:f2707e7d888fddc23018052b015f9a395b05c2aaeb3498a8894edb720587a65c", "created_at": "2026-11-01T19:20:46Z", "updated_at": "2026-11-01T22:54:25Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "ADAMTSL2 is a potential prognostic biomarker and immunotherapeutic target for colorectal cancer: Bioinformatic analysis and experimental verification.", "doi": "10.1371/journal.pone.0303909", "pmid": "38814950", "authors": ["Zhe Huang", "Xu Hu", "Yiqiu Wei", "Yousheng Lai", "Jiaming Qi", "Jinglin Pang", "Kang Huang", "Huagui Li", "Pengzhu Cai"], "journal": "PloS one", "year": 2024, "abstract": "The ADAMTS Like 2 (ADAMTSL2) mutation has been identified to be associated with different human genetic diseases. The role of ADAMTSL2 is unclear in colorectal cancer (CRC). The study investigated the expression of ADAMTSL2 in both pan cancer and CRC, using data from The Cancer Genome Atlas (TCGA) database to assess its diagnostic value. The study examined the correlation between ADAMTSL2 expression levels and clinical characteristics, as well as prognosis in CRC. The study explored potential regulatory networks involving ADAMTSL2, including its association with immune infiltration, immune checkpoint genes, tumor mutational burden (TMB) / microsatellite instability (MSI), tumor stemness index (mRNAsi), and drug sensitivity in CRC. ADAMTSL2 expression was validated using GSE71187 and quantitative real-time PCR (qRT-PCR). ADAMTSL2 was aberrantly expressed in pan cancer and CRC. An increased level of ADAMTSL2 expression in patients with CRC was significantly associated with the pathologic N stage (p < 0.001), pathologic stage (p < 0.001), age (p < 0.001), histological type (p < 0.001), and neoplasm type (p = 0.001). The high expression of ADAMTSL2 in patients with CRC was found to be significantly associated with a poorer overall survival (OS) (HR: 1.67; 95% CI: 1.18-2.38; p = 0.004), progression-free survival (PFS) (HR: 1.55; 95% CI: 1.14-2.11; p = 0.005) and disease-specific survival (DSS) (HR: 1.83; 95% CI: 1.16-2.89; p = 0.010). The expression of ADAMTSL2 in patients with CRC (p = 0.009) was identified as an independent prognostic determinant. ADAMTSL2 was associated with extracellular matrix receptor (ECM-receptor) interaction, transforming growth factor β (TGF-β) signaling pathway, and more. ADAMTSL2 expression was correlated with immune infiltration, immune checkpoint genes, TMB / MSI and mRNAsi in CRC. ADAMTSL2 expression was significantly and negatively correlated with 1-BET-762, Trametinib, and WZ3105 in CRC. ADAMTSL2 was significantly upregulated in CRC cell lines. The high expression of ADAMTSL2 is significantly correlated with lower OS and immune infiltration of CRC. ADAMTSL2 may be a potential prognostic biomarker and immunotherapeutic target for CRC patients.", "claims": [{"id": "claim-method", "statement": "Kaplan-Meier analysis was performed using R software, specifically using the survminer package [3.3.1] and the survival package [3.3.6] [18]. Cox regression analysis was performed using the R software, using the survivor package and the Cox regression module.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38814950", "locator": "sections[7] \"Correlation between ADAMTSL2 and prognosis\" paragraph 2", "quote": "Kaplan-Meier analysis was performed using R software, specifically using the survminer package [3.3.1] and the survival package [3.3.6] [18]."}, {"asset": "source:pmid:38814950", "locator": "sections[7] \"Correlation between ADAMTSL2 and prognosis\" paragraph 3", "quote": "Cox regression analysis was performed using the R software, using the survivor package and the Cox regression module."}], "state": "complete"}, {"id": "claim-data-access", "statement": "A total of 647 CRC tissues and 51 adjacent normal tissues were obtained from patients with CRC (colon & rectal cancer, COAD&READ) [13, 14]. RNAseq data and clinical data in level 3 HTSeq-FPKM format were collected from the TCGA project [15].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38814950", "locator": "sections[3] \"Sample collection\" paragraph 2", "quote": "A total of 647 CRC tissues and 51 adjacent normal tissues were obtained from patients with CRC (colon & rectal cancer, COAD&READ) [13, 14]."}, {"asset": "source:pmid:38814950", "locator": "sections[4] \"Data processing\" paragraph 2", "quote": "RNAseq data and clinical data in level 3 HTSeq-FPKM format were collected from the TCGA project [15]."}], "state": "complete"}, {"id": "claim-target-result", "statement": "High ADAMTSL2 expression in CRC was associated with poorer overall survival, progression-free survival, and disease-specific survival.", "kind": "quantitative", "target": {"value": 95.0, "unit": "per cent", "tolerance": null, "source": "The high expression of ADAMTSL2 in patients with CRC was found to be significantly associated with a poorer overall survival (OS) (HR: 1.67; 95% CI: 1.18–2.38; p = 0.004), progression-free survival (PFS) (HR: 1.55; 95% CI: 1.14–2.11; p = 0.005) and disease-specific survival (DSS) (HR: 1.83; 95% CI: 1.16–2.89; p = 0.010)."}, "evidence": [{"asset": "source:pmid:38814950", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "The high expression of ADAMTSL2 in patients with CRC was found to be significantly associated with a poorer overall survival (OS) (HR: 1.67; 95% CI: 1.18–2.38; p = 0.004), progression-free survival (PFS) (HR: 1.55; 95% CI: 1.14–2.11; p = 0.005) and disease-specific survival (DSS) (HR: 1.83; 95% CI: 1.16–2.89; p = 0.010)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "High ADAMTSL2 expression in CRC was associated with poorer overall survival, progression-free survival, and disease-specific survival.", "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:38814950"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE71187"], "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": ["data:geo:GSE71187"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:38814950", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1371/journal.pone.0303909", "sha256": "sha256:e4e52ce05dfbc2b92275d298f0cc35bb81adb9fb38c2046663db9f19435383cc", "bytes": 32047, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1371/journal.pone.0303909", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC11139340", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE71187", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE71187", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE71187", "version": null, "note": "A total of 647 CRC tissues and 51 adjacent normal tissues were obtained from patients with CRC (colon & rectal cancer, COAD&READ) [13, 14]. RNAseq data and clinical data in level 3 HTSeq-FPKM format were collected from the TCGA project [15].", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "A total of 647 CRC tissues and 51 adjacent normal tissues were obtained from patients with CRC (colon & rectal cancer, COAD&READ) [13, 14]. RNAseq data and clinical data in level 3 HTSeq-FPKM format were collected from the TCGA project [15].", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM1829199", "GSM1829200", "GSM1829201", "GSM1829202", "GSM1829203", "GSM1829204", "GSM1829205", "GSM1829206", "GSM1829207", "GSM1829208", "GSM1829209", "GSM1829210", "GSM1829211", "GSM1829212", "GSM1829213", "GSM1829214", "GSM1829215", "GSM1829216", "GSM1829217", "GSM1829218", "GSM1829219", "GSM1829220", "GSM1829221", "GSM1829222", "GSM1829223", "GSM1829224", "GSM1829225", "GSM1829226", "GSM1829227", "GSM1829228", "GSM1829229", "GSM1829230", "GSM1829231", "GSM1829232", "GSM1829233", "GSM1829234", "GSM1829235", "GSM1829236", "GSM1829237", "GSM1829238", "GSM1829239", "GSM1829240", "GSM1829241", "GSM1829242", "GSM1829243", "GSM1829244", "GSM1829245", "GSM1829246", "GSM1829247", "GSM1829248", "GSM1829249", "GSM1829250", "GSM1829251", "GSM1829252", "GSM1829253", "GSM1829254", "GSM1829255", "GSM1829256", "GSM1829257", "GSM1829258", "GSM1829259", "GSM1829260", "GSM1829261", "GSM1829262", "GSM1829263", "GSM1829264", "GSM1829265", "GSM1829266", "GSM1829267", "GSM1829268", "GSM1829269", "GSM1829270", "GSM1829271", "GSM1829272", "GSM1829273", "GSM1829274", "GSM1829275", "GSM1829276", "GSM1829277", "GSM1829278", "GSM1829279", "GSM1829280", "GSM1829281", "GSM1829282", "GSM1829283", "GSM1829284", "GSM1829285", "GSM1829286", "GSM1829287", "GSM1829288", "GSM1829289", "GSM1829290", "GSM1829291", "GSM1829292", "GSM1829293", "GSM1829294", "GSM1829295", "GSM1829296", "GSM1829297", "GSM1829298", "GSM1829299", "GSM1829300", "GSM1829301", "GSM1829302", "GSM1829303", "GSM1829304", "GSM1829305", "GSM1829306", "GSM1829307", "GSM1829308", "GSM1829309", "GSM1829310", "GSM1829311", "GSM1829312", "GSM1829313", "GSM1829314", "GSM1829315", "GSM1829316", "GSM1829317", "GSM1829318", "GSM1829319", "GSM1829320", "GSM1829321", "GSM1829322", "GSM1829323", "GSM1829324", "GSM1829325", "GSM1829326", "GSM1829327", "GSM1829328", "GSM1829329", "GSM1829330", "GSM1829331", "GSM1829332", "GSM1829333", "GSM1829334", "GSM1829335", "GSM1829336", "GSM1829337", "GSM1829338", "GSM1829339", "GSM1829340", "GSM1829341", "GSM1829342", "GSM1829343", "GSM1829344", "GSM1829345", "GSM1829346", "GSM1829347", "GSM1829348", "GSM1829349", "GSM1829350", "GSM1829351", "GSM1829352", "GSM1829353", "GSM1829354", "GSM1829355", "GSM1829356", "GSM1829357", "GSM1829358", "GSM1829359", "GSM1829360", "GSM1829361", "GSM1829362", "GSM1829363", "GSM1829364", "GSM1829365", "GSM1829366", "GSM1829367", "GSM1829368", "GSM1829369", "GSM1829370", "GSM1829371", "GSM1829372", "GSM1829373", "GSM1829374", "GSM1829375", "GSM1829376", "GSM1829377", "GSM1829378", "GSM1829379", "GSM1829380", "GSM1829381", "GSM1829382", "GSM1829383", "GSM1829384", "GSM1829385", "GSM1829386", "GSM1829387"], "sample_count": 189, "group_sizes": null, "group_sizes_basis": null, "platform": "6480", "taxon": "Homo sapiens", "title": "Development of colorectal cancer gene expression signatures from expression profiles of embryonic development, precancer progression and cancer samples", "resolution_checked_at": "2026-11-01T18:46:34Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE71187 not downloaded", "asset:data:geo:GSE71187 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "survival_analysis", "specific": "kaplan_meier", "label": "Survival analysis", "dsl_operations": ["survival_km"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 1.0, "band": "reordered", "quote": "Kaplan-Meier analysis was performed using R software, specifically using the survminer package [3.3.1] and the survival package [3.3.6] [18]. Cox regression analysis was performed using the R software, using the survivor package and the Cox regression module."}}, {"id": "method-2", "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": 0.8, "band": "high", "quote": "Cox regression"}}], "targets": [{"id": "target-published-estimate", "claim_id": "claim-target-result", "operation": "cox_ph", "expected_value": 95.0, "unit": "per cent", "tolerance": null, "state": "complete", "note": "The published estimate as the reader quoted it from the paper. No tolerance is published because the paper states none."}], "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": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["survival_km"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: kaplan_meier."}, "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": "R1", "reachable": true, "accessions": ["GSE71187"], "resolved_accessions": ["GSE71187"], "statements": ["A total of 647 CRC tissues and 51 adjacent normal tissues were obtained from patients with CRC (colon & rectal cancer, COAD&READ) [13, 14]. RNAseq data and clinical data in level 3 HTSeq-FPKM format were collected from the TCGA project [15]."], "basis": "The paper names GSE71187 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["survival_km"], "assets": ["source:pmid:38814950", "data:geo:GSE71187"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE71187"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T19:20:04Z", "independence": "single_reader"}, "evidence_check": {"method": "reordered", "availability": null}, "calls": 5, "usage": {"prompt_tokens": 10523, "completion_tokens": 1456, "cached_tokens": 264}}, "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:38814950", "type": "paper", "label": "pmid:38814950"}, {"id": "source:pmid:38814950", "type": "manuscript", "label": "PMID 38814950 full text"}, {"id": "data:geo:GSE71187", "type": "dataset", "label": "GEO GSE71187"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:38814950", "type": "paper", "label": "pmid:38814950"}, {"id": "source:pmid:38814950", "type": "manuscript", "label": "PMID 38814950 full text"}, {"id": "data:geo:GSE71187", "type": "dataset", "label": "GEO GSE71187"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-38814950", "type": "extraction", "used": ["source:pmid:38814950"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE71187", "type": "accession_resolution", "used": ["data:geo:GSE71187"], "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:38814950", "parent_hash": "sha256:3ad56eb7b932094fbd68fc20a3c706efe72208c653fbc452d059b7d1d65fa75a", "fork_of": null, "generation": 2}, "gaps": ["asset:data:geo:GSE71187 licence not read", "asset:data:geo:GSE71187 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "rna_seq", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["d from the GSE71187 dataset. Data processing RNAseq data and clinical data in level 3 HTSeq-FPKM", "mic variants of ADAMTSL2 in CRC patients The RNAseq data (level3), the mutation maf data and the"], "order_basis": "paper_text_order:3028", "id": "assay:1"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["survival_km"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Kaplan-Meier analysis was performed using R software, specifically using the survminer package [3.3.1] and the survival package [3.3.6] [18]. Cox regression analysis was performed using the R software, using the survivor package and the Cox regression module."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}