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pmid:34785930

ARNTL2 is a Prognostic Biomarker and Correlates with Immune Cell Infiltration in Triple-Negative Breast Cancer.

Xiaoyu Wang · Yan Li · Jianchang Fu · Kewen Zhou · Tinghuai Wang

Pharmacogenomics and personalized medicine · 2021 doi:10.2147/PGPM.S331431

Paper

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Experiment

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Data

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pmid:34785930
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2026-11-01T17:36:28Z
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title
ARNTL2 is a Prognostic Biomarker and Correlates with Immune Cell Infiltration in Triple-Negative Breast Cancer.
doi
10.2147/PGPM.S331431
pmid
34785930
authors array · 5 items
[0]
Xiaoyu Wang
[1]
Yan Li
[2]
Jianchang Fu
[3]
Kewen Zhou
[4]
Tinghuai Wang
journal
Pharmacogenomics and personalized medicine
year
2021
abstract
BACKGROUND: Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype and is associated with poor prognosis. The aberrant expression of circadian genes contributes to the origin and progression of breast cancer. The present study was designed to explore the potential function and prognosis value of circadian genes in TNBC. METHODS: The transcriptome data of circadian genes were downloaded from The Cancer Genomic Atlas (TCGA), GSE25066 and GSE31448 datasets. The differential expressed circadian genes between non-TNBC and TNBC patients were analysed by Wilcoxon test. Univariate and multivariate Cox regression analyses were employed to identify the prognostic circadian genes. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis (GSEA) were performed to study the biological functions of ARNTL2. The composition of 22 immune cells in the tumour samples was estimated with CIBERSORT algorithm. The correlations between ARNTL2 expression and tumour-infiltrating immune cells were evaluated by Spearman correlation coefficient. RESULTS: A total of 8 circadian genes were found to be differentially expressed between non-TNBC and TNBC, but only ARNTL2 has prognostic value. Multivariate Cox analysis identified that ARNTL2 was an independent prognosis factor for overall survival and relapse-free survival in TNBC patients. Functionally, ARNTL2 was mainly involved in immune response processes such as positive regulation of cytokine production, regulation of innate immune response, and cellular responses to molecules of bacterial origin. High expression of ARNTL2 was positively correlated with activated CD4 memory T cells, activated mast cells, and neutrophil infiltration and the expression of markers of neutrophils (ITGAM), dendritic cells (HLA-DRA, HLA-DPA1, ITGAM), Th1 (IL1B, STAT1), Th2 (IL13), Th17 (STAT3) and mast cells (TPSB2, TPSAB1). CONCLUSION: ARNTL2 may be linked with the functional modulation of the tumour immune microenvironment and serve as a potential biomarker for predicting the prognosis of TNBC patients.
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The correlation between ARNTL2 expression and PCGs or immune cells was evaluated by Pearson correlation coefficients and Spearman correlation coefficients, respectively.
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sections[7] "Statistical Analysis" paragraph 2
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The correlation between ARNTL2 expression and PCGs or immune cells was evaluated by Pearson correlation coefficients and Spearman correlation coefficients, respectively.
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The level three transcriptome data of breast cancer patients, including 115 TNBC and 1107 non-TNBC, were downloaded from the TCGA data portal (https://tcga-data.nci.nih.gov/tcga/)
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sections[3] "Patients and Databases" paragraph 2
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The level three transcriptome data of breast cancer patients, including 115 TNBC and 1107 non-TNBC, were downloaded from the TCGA data portal (https://tcga-data.nci.nih.gov/tcga/)
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A total of 8 circadian genes were found to be differentially expressed between non-TNBC and TNBC, but only ARNTL2 has prognostic value.
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A total of 8 circadian genes were found to be differentially expressed between non-TNBC and TNBC, but only ARNTL2 has prognostic value.
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A total of 8 circadian genes were found to be differentially expressed between non-TNBC and TNBC, but only ARNTL2 has prognostic value.
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The level three transcriptome data of breast cancer patients, including 115 TNBC and 1107 non-TNBC, were downloaded from the TCGA data portal (https://tcga-data.nci.nih.gov/tcga/)
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96
taxon
Homo sapiens
title
Genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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false
licence_read
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[2] object · 15 fields
id
data:geo:GSE31448
role
raw
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geo-series
media_type
application/vnd.ncbi.geo-series+json
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE31448
sha256
null
bytes
null
access
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reader_status
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version
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note
The level three transcriptome data of breast cancer patients, including 115 TNBC and 1107 non-TNBC, were downloaded from the TCGA data portal (https://tcga-data.nci.nih.gov/tcga/)
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The level three transcriptome data of breast cancer patients, including 115 TNBC and 1107 non-TNBC, were downloaded from the TCGA data portal (https://tcga-data.nci.nih.gov/tcga/)
access_statement_kind
repository_route_statement
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sample_count
357
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Down-regulation of ECRG4, a candidate tumor suppressor gene in human breast cancer
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 4 items
[0]
asset:data:geo:GSE25066 not downloaded
[1]
asset:data:geo:GSE25066 licence not read
[2]
asset:data:geo:GSE31448 not downloaded
[3]
asset:data:geo:GSE31448 licence not read
analysis object · 4 fields
state
partial
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[0] object · 10 fields
id
method-1
family
correlation_analysis
specific
spearman
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Correlation analysis
dsl_operations array · 1 item
[0]
spearman_rho
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
paired_numeric_columns
evidence object · 3 fields
score
1
band
verbatim
quote
The correlation between ARNTL2 expression and PCGs or immune cells was evaluated by Pearson correlation coefficients and Spearman correlation coefficients, respectively.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
wilcoxon
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_wilcoxon
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.7
band
medium
quote
Wilcoxon
[2] object · 10 fields
id
method-3
family
survival_analysis
specific
kaplan_meier
label
Survival analysis
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[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
0.8
band
high
quote
KM
[3] object · 10 fields
id
method-4
family
survival_analysis
specific
cox_proportional_hazards
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Survival analysis
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[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
0.7
band
medium
quote
Cox regression
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id
method-5
family
survival_analysis
specific
log_rank_test
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Survival analysis
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[0]
logrank_test
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
Log rank
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id
method-6
family
correlation_analysis
specific
pearson
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Correlation analysis
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[0]
pearson_r
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
paired_numeric_columns
evidence object · 3 fields
score
0.8
band
high
quote
Pearson correlation
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id
method-7
family
diagnostic_evaluation
specific
roc
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Diagnostic test evaluation
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[0]
confusion_counts
[1]
roc_curve
[2]
sensitivity_specificity
[3]
solve_confusion_matrix
[4]
classification_metrics
[5]
published_precision_envelope
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
reference_standard_and_test
evidence object · 3 fields
score
0.8
band
high
quote
ROC curve
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gaps array · 1 item
[0]
method.reader_differs_from_extractor
capability object · 3 fields
state
complete
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[0] object · 6 fields
capability_id
capability:computational_analysis
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Computational analysis platform
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[0]
meta_analysis
[1]
machine_learning
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survival_analysis
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[4]
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[5]
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[6]
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[7]
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[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
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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]
spearman_rho
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: spearman.
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
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[0]
GSE25066
[1]
GSE31448
resolved_accessions array · 2 items
[0]
GSE25066
[1]
GSE31448
statements array · 1 item
[0]
The level three transcriptome data of breast cancer patients, including 115 TNBC and 1107 non-TNBC, were downloaded from the TCGA data portal (https://tcga-data.nci.nih.gov/tcga/)
basis
The paper names GSE25066, GSE31448 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
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[0]
spearman_rho
assets array · 2 items
[0]
source:pmid:34785930
[1]
data:geo:GSE25066
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[0]
run_analysis
must_build object · 5 fields
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readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE25066
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
2026-11-01T17:07:38Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
null
calls
5
usage object · 3 fields
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13798
completion_tokens
2084
cached_tokens
256
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[0] object · 4 fields
id
extraction
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complete
reader
MiniMax-M3.1-Flash
provider
minimax
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[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
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absent
status
not_run
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null
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gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:34785930
type
paper
label
pmid:34785930
[1] object · 3 fields
id
source:pmid:34785930
type
manuscript
label
PMID 34785930 full text
[2] object · 3 fields
id
data:geo:GSE25066
type
dataset
label
GEO GSE25066
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[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
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[0] object · 3 fields
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pmid:34785930
type
paper
label
pmid:34785930
[1] object · 3 fields
id
source:pmid:34785930
type
manuscript
label
PMID 34785930 full text
[2] object · 3 fields
id
data:geo:GSE25066
type
dataset
label
GEO GSE25066
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agent:corpus-assay-engine
[1] object · 4 fields
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activity-read-34785930
type
extraction
used array · 1 item
[0]
source:pmid:34785930
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE25066
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE25066
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
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software
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Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
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software
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MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
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lineage object · 4 fields
parent_id
pmid:34785930
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sha256:c53c6209107d883bbba6d5e3c8b1c56cac04b2b3f8995700e1794c477db67a6f
fork_of
null
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[0]
asset:data:geo:GSE25066 licence not read
[1]
asset:data:geo:GSE25066 not downloaded
[2]
asset:data:geo:GSE31448 licence not read
[3]
asset:data:geo:GSE31448 not downloaded
[4]
execution.not_run
[5]
method.reader_differs_from_extractor
[6]
review.human_critique
[7]
review.independent_reader
[8]
review.machine_critique
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[0] object · 11 fields
role
data_generation
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99e1195c7d6f
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support_state
partial
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assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 3 items
[0]
ase on the criteria of ER-, PR- and HER2- by immunohistochemistry. First, the transcriptome data of 1017 non-T
[1]
<1% of ER/PR/HER-2-positive tumour cells by immunohistochemistry.22 Available clinical-pathological parameter
[2]
RNTL2 in an independent cohort, we performed IHC staining of ARNTL2 in 131 TNBC samples with
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paper_text_order:2597
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and remain 97 TNBC for further analysis. The microarray data of GSE25066 (non-TNBC, n = 308; TNBC, n
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The correlation between ARNTL2 expression and PCGs or immune cells was evaluated by Pearson correlation coefficients and Spearman correlation coefficients, respectively.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34785930", "kind": "science-record", "revision": 4, "content_hash": "sha256:6a25155465166bb6f7a29f376637afc9ad2d4b4826f3b7128912926e69423642", "created_at": "2026-11-01T17:36:28Z", "updated_at": "2026-11-01T22:05:10Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "ARNTL2 is a Prognostic Biomarker and Correlates with Immune Cell Infiltration in Triple-Negative Breast Cancer.", "doi": "10.2147/PGPM.S331431", "pmid": "34785930", "authors": ["Xiaoyu Wang", "Yan Li", "Jianchang Fu", "Kewen Zhou", "Tinghuai Wang"], "journal": "Pharmacogenomics and personalized medicine", "year": 2021, "abstract": "BACKGROUND: Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype and is associated with poor prognosis. The aberrant expression of circadian genes contributes to the origin and progression of breast cancer. The present study was designed to explore the potential function and prognosis value of circadian genes in TNBC.\nMETHODS: The transcriptome data of circadian genes were downloaded from The Cancer Genomic Atlas (TCGA), GSE25066 and GSE31448 datasets. The differential expressed circadian genes between non-TNBC and TNBC patients were analysed by Wilcoxon test. Univariate and multivariate Cox regression analyses were employed to identify the prognostic circadian genes. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis (GSEA) were performed to study the biological functions of ARNTL2. The composition of 22 immune cells in the tumour samples was estimated with CIBERSORT algorithm. The correlations between ARNTL2 expression and tumour-infiltrating immune cells were evaluated by Spearman correlation coefficient.\nRESULTS: A total of 8 circadian genes were found to be differentially expressed between non-TNBC and TNBC, but only ARNTL2 has prognostic value. Multivariate Cox analysis identified that ARNTL2 was an independent prognosis factor for overall survival and relapse-free survival in TNBC patients. Functionally, ARNTL2 was mainly involved in immune response processes such as positive regulation of cytokine production, regulation of innate immune response, and cellular responses to molecules of bacterial origin. High expression of ARNTL2 was positively correlated with activated CD4 memory T cells, activated mast cells, and neutrophil infiltration and the expression of markers of neutrophils (ITGAM), dendritic cells (HLA-DRA, HLA-DPA1, ITGAM), Th1 (IL1B, STAT1), Th2 (IL13), Th17 (STAT3) and mast cells (TPSB2, TPSAB1).\nCONCLUSION: ARNTL2 may be linked with the functional modulation of the tumour immune microenvironment and serve as a potential biomarker for predicting the prognosis of TNBC patients.", "claims": [{"id": "claim-method", "statement": "The correlation between ARNTL2 expression and PCGs or immune cells was evaluated by Pearson correlation coefficients and Spearman correlation coefficients, respectively.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34785930", "locator": "sections[7] \"Statistical Analysis\" paragraph 2", "quote": "The correlation between ARNTL2 expression and PCGs or immune cells was evaluated by Pearson correlation coefficients and Spearman correlation coefficients, respectively."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The level three transcriptome data of breast cancer patients, including 115 TNBC and 1107 non-TNBC, were downloaded from the TCGA data portal (https://tcga-data.nci.nih.gov/tcga/)", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34785930", "locator": "sections[3] \"Patients and Databases\" paragraph 2", "quote": "The level three transcriptome data of breast cancer patients, including 115 TNBC and 1107 non-TNBC, were downloaded from the TCGA data portal (https://tcga-data.nci.nih.gov/tcga/)"}], "state": "complete"}, {"id": "claim-target-result", "statement": "A total of 8 circadian genes were found to be differentially expressed between non-TNBC and TNBC, but only ARNTL2 has prognostic value.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:34785930", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "A total of 8 circadian genes were found to be differentially expressed between non-TNBC and TNBC, but only ARNTL2 has prognostic value."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A total of 8 circadian genes were found to be differentially expressed between non-TNBC and TNBC, but only ARNTL2 has prognostic value.", "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:34785930"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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