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pmid:34541602

Identification of potential genes related to breast cancer brain metastasis in breast cancer patients.

Lijian Zhang · Luxuan Wang · Hua Yang · Chunhui Li · Chuan Fang

Bioscience reports · 2021 doi:10.1042/BSR20211615

Paper

complete

Experiment

partial

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:34541602
kind
science-record
content_hash
sha256:3a4ac1ff0606f5a828aeaf1d0438b536631c036b21822a1be0f1804fe7ebec27
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:41:53Z
updated_at
2026-11-01T22:47:33Z
generator object · 2 fields
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corpus-assay-engine
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reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Identification of potential genes related to breast cancer brain metastasis in breast cancer patients.
doi
10.1042/BSR20211615
pmid
34541602
authors array · 5 items
[0]
Lijian Zhang
[1]
Luxuan Wang
[2]
Hua Yang
[3]
Chunhui Li
[4]
Chuan Fang
journal
Bioscience reports
year
2021
abstract
Brain metastases (BMs) usually develop in breast cancer (BC) patients. Thus, the molecular mechanisms of breast cancer brain metastasis (BCBM) are of great importance in designing therapeutic strategies to treat or prevent BCBM. The present study attempted to identify novel diagnostic and prognostic biomarkers of BCBM. Two datasets (GSE125989 and GSE100534) were obtained from the Gene Expression Omnibus (GEO) database to find differentially expressed genes (DEGs) in cases of BC with and without brain metastasis (BM). A total of 146 overlapping DEGs, including 103 up-regulated and 43 down-regulated genes, were identified. Functional enrichment analysis showed that these DEGs were mainly enriched for functions including extracellular matrix (ECM) organization and collagen catabolic fibril organization. Using protein-protein interaction (PPI) and principal component analysis (PCA) analysis, we identified ten key genes, including LAMA4, COL1A1, COL5A2, COL3A1, COL4A1, COL5A1, COL5A3, COL6A3, COL6A2, and COL6A1. Additionally, COL5A1, COL4A1, COL1A1, COL6A1, COL6A2, and COL6A3 were significantly associated with the overall survival of BC patients. Furthermore, COL6A3, COL5A1, and COL4A1 were potentially correlated with BCBM in human epidermal growth factor 2 (HER2) expression. Additionally, the miR-29 family might participate in the process of metastasis by modulating the cancer microenvironment. Based on datasets in the GEO database, several DEGs have been identified as playing potentially important roles in BCBM in BC patients.
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The GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/) based on R language limma package was used to analyze the gene expression data and to identify DEGs [24].
kind
methodological
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null
evidence array · 1 item
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sections[4] "Data processing" paragraph 2
quote
The GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/) based on R language limma package was used to analyze the gene expression data and to identify DEGs [24].
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1
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Read the published estimate from the source
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other
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The claim, method and evidence span published with the source article.
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inputs array · 1 item
[0]
source:pmid:34541602
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[0]
the published estimate and its evidence
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[1] object · 13 fields
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2
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Obtain the source data from the named repository
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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
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the source data with its repository provenance
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Run the published analysis
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Apply the paper's statistical method to the resolved series and compare the result with the published target.
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the replicated result and its comparison
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https://doi.org/10.1042/BSR20211615
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PMC8521534
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europe_pmc_fulltext
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GO functional enrichment analysis for the DEGs
structure object · 5 fields
pmcid
PMC8521534
section_index
13
section_title
KEGG pathway and GO term enrichment analyses
row_count
30
column_count
4
table object · 8 fields
label
Table 1
caption
GO functional enrichment analysis for the DEGs
rows array · 30 items
[0] array · 4 items
[0]
Term
[1]
Category
[2]
P-value
[3]
UniProt ID
[1] array · 1 item
[0]
BP
[2] array · 4 items
[0]
Extracellular matrix organization
[1]
GO:0030198
[2]
2.66E-15
[3]
COL1A1, COL3A1, COL14A1, LAMA4, COL6A2, COL5A3, COL5A2, COL6A1, COL6A3
[3] array · 4 items
[0]
Collagen fibril organization
[1]
GO:0030199
[2]
3.10E-09
[3]
COL1A1, COL3A1, COL14A1, COL5A3, COL5A2
[4] array · 4 items
[0]
Cellular response to amino acid stimulus
[1]
GO:0071230
[2]
1.71E-06
[3]
COL1A1, COL3A1, COL5A2, COL6A1
[5] array · 4 items
[0]
Cell adhesion
[1]
GO:0007155
[2]
1.72E-06
[3]
COL1A1, COL15A1, LAMA4, COL6A2, COL6A1, COL6A3
[6] array · 4 items
[0]
Protein heterotrimerization
[1]
GO:0070208
[2]
2.32E-05
[3]
COL1A1, COL6A2, COL6A1
[7] array · 4 items
[0]
Skin development
[1]
GO:0043588
[2]
1.42E-04
[3]
COL3A1, COL5A3, COL5A2
[8] array · 4 items
[0]
Skeletal system development
[1]
GO:0001501
[2]
0.00229126
[3]
COL1A1, COL3A1, COL5A2
[9] array · 4 items
[0]
Blood vessel development
[1]
GO:0001568
[2]
0.020188218
[3]
COL1A1, LAMA4
[10] array · 4 items
[0]
Cell–matrix adhesion
[1]
GO:0007160
[2]
0.047226948
[3]
COL3A1, COL5A3
[11] array · 4 items
[0]
Osteoblast differentiation
[1]
GO:0001649
[2]
0.054392332
[3]
COL1A1, COL6A1
[12] array · 4 items
[0]
Platelet activation
[1]
GO:0030168
[2]
0.059988631
[3]
COL1A1, COL3A1
[13] array · 4 items
[0]
Regulation of immune response
[1]
GO:0050776
[2]
0.091476749
[3]
COL1A1, COL3A1
[14] array · 1 item
[0]
MF
[15] array · 4 items
[0]
Extracellular matrix structural constituent
[1]
GO:0005201
[2]
2.59E-13
[3]
COL1A1, COL3A1, COL15A1, COL14A1, LAMA4, COL5A3, COL5A2
[16] array · 4 items
[0]
Platelet-derived growth factor binding
[1]
GO:0048407
[2]
1.39E-05
[3]
COL1A1, COL3A1, COL6A1
[17] array · 4 items
[0]
SMAD binding
[1]
GO:0046332
[2]
0.022698305
[3]
COL3A1, COL5A2
[18] array · 4 items
[0]
Collagen binding
[1]
GO:0005518
[2]
0.03154496
[3]
COL14A1, COL5A3
[19] array · 1 item
[0]
CC
[20] array · 4 items
[0]
Endoplasmic reticulum lumen
[1]
GO:0005788
[2]
2.66E-15
[3]
COL1A1, COL3A1, COL15A1, COL6A2, COL5A3, COL5A2, COL6A1, COL6A3
[21] array · 4 items
[0]
Collagen trimer
[1]
GO:0005581
[2]
3.10E-09
[3]
COL1A1, COL3A1, COL14A1, LAMA4, COL6A2, COL5A3, COL5A2, COL6A1, COL6A3
[22] array · 4 items
[0]
Extracellular matrix
[1]
GO:0031012
[2]
1.71E-06
[3]
COL1A1, COL3A1, COL14A1, COL5A3, COL5A2
[23] array · 4 items
[0]
Extracellular region
[1]
GO:0005576
[2]
1.72E-06
[3]
COL1A1, COL3A1, COL5A2, COL6A1
[24] array · 4 items
[0]
Proteinaceous extracellular matrix
[1]
GO:0005578
[2]
2.32E-05
[3]
COL1A1, COL15A1, LAMA4, COL6A2, COL6A1, COL6A3
[25] array · 4 items
[0]
Extracellular space
[1]
GO:0005615
[2]
1.42E-04
[3]
COL1A1, COL6A2, COL6A1
[26] array · 4 items
[0]
Extracellular exosome
[1]
GO:0070062
[2]
0.00229126
[3]
COL3A1, COL5A3, COL5A2
[27] array · 4 items
[0]
Sarcolemma
[1]
GO:0042383
[2]
0.020188218
[3]
COL1A1, COL3A1, COL5A2
[28] array · 4 items
[0]
Collagen type V trimer
[1]
GO:0005588
[2]
0.047226948
[3]
COL1A1, LAMA4
[29] array · 4 items
[0]
Collagen type VI trimer
[1]
GO:0005589
[2]
2.98E-16
[3]
COL3A1, COL5A3
locator
section[13]/table-wrap[1]#T1
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Pathway enrichment analysis for the DEGs
structure object · 5 fields
pmcid
PMC8521534
section_index
13
section_title
KEGG pathway and GO term enrichment analyses
row_count
7
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4
table object · 8 fields
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Table 2
caption
Pathway enrichment analysis for the DEGs
rows array · 7 items
[0] array · 4 items
[0]
Term
[1]
Category
[2]
P-value
[3]
UniProt ID
[1] array · 4 items
[0]
Protein digestion and absorption
[1]
hsa04974
[2]
4.62E-15
[3]
COL1A1, COL3A1, COL15A1, COL14A1, COL6A2, COL5A3, COL5A2, COL6A1, COL6A3
[2] array · 4 items
[0]
ECM–receptor interaction
[1]
hsa04512
[2]
1.43E-12
[3]
COL1A1, COL3A1, LAMA4, COL6A2, COL5A3, COL5A2, COL6A1, COL6A3
[3] array · 4 items
[0]
Focal adhesion
[1]
hsa04510
[2]
6.68E-10
[3]
COL1A1, COL3A1, LAMA4, COL6A2, COL5A3, COL5A2, COL6A1, COL6A3
[4] array · 4 items
[0]
PI3K-Akt signaling pathway
[1]
hsa04151
[2]
2.48E-08
[3]
COL1A1, COL3A1, LAMA4, COL6A2, COL5A3, COL5A2, COL6A1, COL6A3
[5] array · 4 items
[0]
Amoebiasis
[1]
hsa05146
[2]
6.33E-06
[3]
COL1A1, COL3A1, LAMA4, COL5A3, COL5A2
[6] array · 4 items
[0]
Platelet activation
[1]
hsa04611
[2]
5.10E-04
[3]
COL1A1, COL3A1, COL5A3, COL5A2
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[3] object · 16 fields
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available
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section[15]/table-wrap[1]#T3
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null
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The potential TFs of ten hub genes
structure object · 5 fields
pmcid
PMC8521534
section_index
15
section_title
TF regulatory network analysis of ten genes
row_count
11
column_count
3
table object · 8 fields
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Table 3
caption
The potential TFs of ten hub genes
rows array · 11 items
[0] array · 3 items
[0]
Genes
[1]
TFs
[2]
Counts
[1] array · 3 items
[0]
LAMA4
[1]
ATF71IP, BRD7, USF2, CREB1, GATA1, TP53, GATA2, GATA3, MED31, ZHX1, EEF1A1
[2]
11
[2] array · 3 items
[0]
COL1A1
[1]
SP3, JUN, MYB, NFKB1, POU2F1, RELA, SP1FLI1, EGR1, SMAD1, WFIC
[2]
10
[3] array · 3 items
[0]
COL5A2
[1]
MEF2A, FOXO3B, TBP, PBX1, FOXO1, FOXO4, FOXO3, REL
[2]
8
[4] array · 3 items
[0]
COL3A1
[1]
SMAD1, IRF1, NFIC, SMAD3, JUN
[2]
5
[5] array · 3 items
[0]
COL4A1
[1]
STAT2, ZEB1, CTCF, STAT1
[2]
4
[6] array · 3 items
[0]
COL5A1
[1]
IILF, REL, PPARG, ATF2
[2]
4
[7] array · 3 items
[0]
COL5A3
[1]
REST, RREB1, MEIS1, TFAP4
[2]
4
[8] array · 3 items
[0]
COL6A3
[1]
ZBTB6, SMAD3, WFIC
[2]
3
[9] array · 3 items
[0]
COL6A2
[1]
NFIC, TFAP2A
[2]
2
[10] array · 3 items
[0]
COL6A1
[1]
SMAD3
[2]
1
locator
section[15]/table-wrap[1]#T3
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partial
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method-1
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differential_expression
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Differential expression analysis
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[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
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count_matrix_with_condition
evidence object · 3 fields
score
1
band
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quote
The GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/) based on R language limma package was used to analyze the gene expression data and to identify DEGs [24].
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Principal component analysis
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wide_numeric_matrix
evidence object · 3 fields
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0.7
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principal component analysis
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network_analysis
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Network / pathway analysis
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[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
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edge_list
evidence object · 3 fields
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protein-protein interaction
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Computational analysis platform
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Automated Assays Laravel application and simulated adapters
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The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: limma_voom.
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required_operations array · 3 items
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dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
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The GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/) based on R language limma package was used to analyze the gene expression data and to identify DEGs [24].
order_basis
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id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34541602", "kind": "science-record", "revision": 8, "content_hash": "sha256:3a4ac1ff0606f5a828aeaf1d0438b536631c036b21822a1be0f1804fe7ebec27", "created_at": "2026-11-01T15:41:53Z", "updated_at": "2026-11-01T22:47:33Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of potential genes related to breast cancer brain metastasis in breast cancer patients.", "doi": "10.1042/BSR20211615", "pmid": "34541602", "authors": ["Lijian Zhang", "Luxuan Wang", "Hua Yang", "Chunhui Li", "Chuan Fang"], "journal": "Bioscience reports", "year": 2021, "abstract": "Brain metastases (BMs) usually develop in breast cancer (BC) patients. Thus, the molecular mechanisms of breast cancer brain metastasis (BCBM) are of great importance in designing therapeutic strategies to treat or prevent BCBM. The present study attempted to identify novel diagnostic and prognostic biomarkers of BCBM. Two datasets (GSE125989 and GSE100534) were obtained from the Gene Expression Omnibus (GEO) database to find differentially expressed genes (DEGs) in cases of BC with and without brain metastasis (BM). A total of 146 overlapping DEGs, including 103 up-regulated and 43 down-regulated genes, were identified. Functional enrichment analysis showed that these DEGs were mainly enriched for functions including extracellular matrix (ECM) organization and collagen catabolic fibril organization. Using protein-protein interaction (PPI) and principal component analysis (PCA) analysis, we identified ten key genes, including LAMA4, COL1A1, COL5A2, COL3A1, COL4A1, COL5A1, COL5A3, COL6A3, COL6A2, and COL6A1. Additionally, COL5A1, COL4A1, COL1A1, COL6A1, COL6A2, and COL6A3 were significantly associated with the overall survival of BC patients. Furthermore, COL6A3, COL5A1, and COL4A1 were potentially correlated with BCBM in human epidermal growth factor 2 (HER2) expression. Additionally, the miR-29 family might participate in the process of metastasis by modulating the cancer microenvironment. Based on datasets in the GEO database, several DEGs have been identified as playing potentially important roles in BCBM in BC patients.", "claims": [{"id": "claim-method", "statement": "The GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/) based on R language limma package was used to analyze the gene expression data and to identify DEGs [24].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34541602", "locator": "sections[4] \"Data processing\" paragraph 2", "quote": "The GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/) based on R language limma package was used to analyze the gene expression data and to identify DEGs [24]."}], "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:34541602"], "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:34541602", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1042/BSR20211615", "sha256": 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"PMC8521534", "section_index": 13, "section_title": "KEGG pathway and GO term enrichment analyses", "row_count": 30, "column_count": 4}, "table": {"label": "Table 1", "caption": "GO functional enrichment analysis for the DEGs", "rows": [["Term", "Category", "P-value", "UniProt ID"], ["BP"], ["Extracellular matrix organization", "GO:0030198", "2.66E-15", "COL1A1, COL3A1, COL14A1, LAMA4, COL6A2, COL5A3, COL5A2, COL6A1, COL6A3"], ["Collagen fibril organization", "GO:0030199", "3.10E-09", "COL1A1, COL3A1, COL14A1, COL5A3, COL5A2"], ["Cellular response to amino acid stimulus", "GO:0071230", "1.71E-06", "COL1A1, COL3A1, COL5A2, COL6A1"], ["Cell adhesion", "GO:0007155", "1.72E-06", "COL1A1, COL15A1, LAMA4, COL6A2, COL6A1, COL6A3"], ["Protein heterotrimerization", "GO:0070208", "2.32E-05", "COL1A1, COL6A2, COL6A1"], ["Skin development", "GO:0043588", "1.42E-04", "COL3A1, COL5A3, COL5A2"], ["Skeletal system development", "GO:0001501", "0.00229126", "COL1A1, COL3A1, COL5A2"], ["Blood vessel development", "GO:0001568", "0.020188218", "COL1A1, LAMA4"], ["Cell–matrix adhesion", "GO:0007160", "0.047226948", "COL3A1, COL5A3"], ["Osteoblast differentiation", "GO:0001649", "0.054392332", "COL1A1, COL6A1"], ["Platelet activation", "GO:0030168", "0.059988631", "COL1A1, COL3A1"], ["Regulation of immune response", "GO:0050776", "0.091476749", "COL1A1, COL3A1"], ["MF"], ["Extracellular matrix structural constituent", "GO:0005201", "2.59E-13", "COL1A1, COL3A1, COL15A1, COL14A1, LAMA4, COL5A3, COL5A2"], ["Platelet-derived growth factor binding", "GO:0048407", "1.39E-05", "COL1A1, COL3A1, COL6A1"], ["SMAD binding", "GO:0046332", "0.022698305", "COL3A1, COL5A2"], ["Collagen binding", "GO:0005518", "0.03154496", "COL14A1, COL5A3"], ["CC"], ["Endoplasmic reticulum lumen", "GO:0005788", "2.66E-15", "COL1A1, COL3A1, COL15A1, COL6A2, COL5A3, COL5A2, COL6A1, COL6A3"], ["Collagen trimer", "GO:0005581", "3.10E-09", "COL1A1, COL3A1, COL14A1, LAMA4, COL6A2, COL5A3, COL5A2, COL6A1, COL6A3"], ["Extracellular matrix", "GO:0031012", "1.71E-06", "COL1A1, COL3A1, COL14A1, COL5A3, COL5A2"], ["Extracellular region", "GO:0005576", "1.72E-06", "COL1A1, COL3A1, COL5A2, COL6A1"], ["Proteinaceous extracellular matrix", "GO:0005578", "2.32E-05", "COL1A1, COL15A1, LAMA4, COL6A2, COL6A1, COL6A3"], ["Extracellular space", "GO:0005615", "1.42E-04", "COL1A1, COL6A2, COL6A1"], ["Extracellular exosome", "GO:0070062", "0.00229126", "COL3A1, COL5A3, COL5A2"], ["Sarcolemma", "GO:0042383", "0.020188218", "COL1A1, COL3A1, COL5A2"], ["Collagen type V trimer", "GO:0005588", "0.047226948", "COL1A1, LAMA4"], ["Collagen type VI trimer", "GO:0005589", "2.98E-16", "COL3A1, COL5A3"]], "row_count": 30, "column_count": 4, "numeric_cells": 61, "header_rows": 1, "locator": "section[13]/table-wrap[1]#T1"}}, {"id": "asset:table:pmid:34541602:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": 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"hsa04151", "2.48E-08", "COL1A1, COL3A1, LAMA4, COL6A2, COL5A3, COL5A2, COL6A1, COL6A3"], ["Amoebiasis", "hsa05146", "6.33E-06", "COL1A1, COL3A1, LAMA4, COL5A3, COL5A2"], ["Platelet activation", "hsa04611", "5.10E-04", "COL1A1, COL3A1, COL5A3, COL5A2"]], "row_count": 7, "column_count": 4, "numeric_cells": 13, "header_rows": 1, "locator": "section[13]/table-wrap[2]#T2"}}, {"id": "asset:table:pmid:34541602:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:2ff0aadb5b86a71ae1dd2e3fc57db429a19e7b1f7d7611d382e75d046c973a5c", "bytes": 710, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[15]/table-wrap[1]#T3", "version": null, "note": "The potential TFs of ten hub genes", "structure": {"pmcid": "PMC8521534", "section_index": 15, "section_title": "TF regulatory network analysis of ten genes", "row_count": 11, "column_count": 3}, "table": {"label": "Table 3", "caption": "The potential TFs of ten hub genes", "rows": [["Genes", "TFs", "Counts"], ["LAMA4", "ATF71IP, BRD7, USF2, CREB1, GATA1, TP53, GATA2, GATA3, MED31, ZHX1, EEF1A1", "11"], ["COL1A1", "SP3, JUN, MYB, NFKB1, POU2F1, RELA, SP1FLI1, EGR1, SMAD1, WFIC", "10"], ["COL5A2", "MEF2A, FOXO3B, TBP, PBX1, FOXO1, FOXO4, FOXO3, REL", "8"], ["COL3A1", "SMAD1, IRF1, NFIC, SMAD3, JUN", "5"], ["COL4A1", "STAT2, ZEB1, CTCF, STAT1", "4"], ["COL5A1", "IILF, REL, PPARG, ATF2", "4"], ["COL5A3", "REST, RREB1, MEIS1, TFAP4", "4"], ["COL6A3", "ZBTB6, SMAD3, WFIC", "3"], ["COL6A2", "NFIC, TFAP2A", "2"], ["COL6A1", "SMAD3", "1"]], "row_count": 11, "column_count": 3, "numeric_cells": 11, "header_rows": 1, "locator": "section[15]/table-wrap[1]#T3"}}], "gaps": []}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "differential_expression", "specific": "limma_voom", "label": "Differential expression analysis", "dsl_operations": ["normalise_counts", "differential_expression_fit", 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