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pmid:37556419

Integrated bioinformatics analyses identifying potential biomarkers for type 2 diabetes mellitus and breast cancer: In SIK1-ness and health.

Ilhaam Ayaz Durrani · Attya Bhatti · Peter John

PloS one · 2023 doi:10.1371/journal.pone.0289839

Paper

complete

Experiment

complete

Data

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Analysis

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Execution

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:37556419
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science-record
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sha256:b8a12eb06f489a46dcccf48e27c23449346518f66b66174bdd660efb6011cffe
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2026-11-01T19:02:20Z
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2026-11-01T22:10:03Z
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paper object · 10 fields
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title
Integrated bioinformatics analyses identifying potential biomarkers for type 2 diabetes mellitus and breast cancer: In SIK1-ness and health.
doi
10.1371/journal.pone.0289839
pmid
37556419
authors array · 3 items
[0]
Ilhaam Ayaz Durrani
[1]
Attya Bhatti
[2]
Peter John
journal
PloS one
year
2023
abstract
The bidirectional causal relationship between type 2 diabetes mellitus (T2DM) and breast cancer (BC) has been established by numerous epidemiological studies. However, the underlying molecular mechanisms are not yet fully understood. Identification of hub genes implicated in T2DM-BC molecular crosstalk may help elucidate on the causative mechanisms. For this, expression series GSE29231 (T2DM-adipose tissue), GSE70905 (BC- breast adenocarcinoma biopsies) and GSE150586 (diabetes and BC breast biopsies) were extracted from Gene Expression Omnibus (GEO) database, and analyzed to obtain differentially expressed genes (DEGs). The overlapping DEGs were determined using FunRich. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Transcription Factor (TF) analyses were performed on EnrichR software and a protein-protein interaction (PPI) network was constructed using STRING software. The network was analyzed on Cytoscape to determine hub genes and Kaplan-Meier plots were obtained. A total of 94 overlapping DEGs were identified between T2DM and BC samples. These DEGs were mainly enriched for GO terms RNA polymerase II core promoter proximal region sequence and its DNA binding, and cAMP response element binding protein, and KEGG pathways including bladder cancer, thyroid cancer and PI3K-AKT signaling. Eight hub genes were identified: interleukin 6 (IL6), tumor protein 53 (TP53), interleukin 8 (CXCL8), MYC, matrix metalloproteinase 9 (MMP9), beta-catenin 1 (CTNNB1), nitric oxide synthase 3 (NOS3) and interleukin 1 beta (IL1β). MMP9 and MYC associated unfavorably with overall survival (OS) in breast cancer patients, IL6, TP53, IL1β and CTNNB1 associated favorably, whereas NOS3 did not show any correlation with OS. Salt inducible kinase 1 (SIK1) was identified as a significant key DEG for comorbid samples when compared with BC, also dysregulated in T2DM and BC samples (adjusted p <0.05). Furthermore, four of the significant hub genes identified, including IL6, CXCL8, IL1B and MYC were also differentially expressed for comorbid samples, however at p < 0.05. Our study identifies key genes including SIK1, for comorbid state and 8 hub genes that may be implicated in T2DM-BC crosstalk. However, limitations associated with the insilico nature of this study necessitates for subsequent validation in wet lab. Hence, further investigation is crucial to study the molecular mechanisms of action underlying these genes to fully explore their potential as diagnostic and prognostic biomarkers and therapeutic targets for T2DM-BC association.
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Each of the series were analyzed using the GEO2R tool on NCBI GEO website to obtain differentially expressed genes (DEGs) between diseased and normal/control samples (https://www.ncbi.nlm.nih.gov/geo/geo2r/).
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sections[4] "Differential gene expression analysis" paragraph 2
quote
Each of the series were analyzed using the GEO2R tool on NCBI GEO website to obtain differentially expressed genes (DEGs) between diseased and normal/control samples (https://www.ncbi.nlm.nih.gov/geo/geo2r/).
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The datasets analysed during the current study are available freely on the NCBI-GEO website; T2DM adipose tissue series GSE29231, breast adenocarcinoma series GSE70905 and diabetes and breast cancer series GSE150586.
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sections[22] "Data Availability" paragraph 2
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The datasets analysed during the current study are available freely on the NCBI-GEO website; T2DM adipose tissue series GSE29231, breast adenocarcinoma series GSE70905 and diabetes and breast cancer series GSE150586.
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Eight hub genes were identified: interleukin 6 (IL6), tumor protein 53 (TP53), interleukin 8 (CXCL8), MYC, matrix metalloproteinase 9 (MMP9), beta-catenin 1 (CTNNB1), nitric oxide synthase 3 (NOS3) and interleukin 1 beta (IL1β).
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sections[0] "Abstract" paragraph 1
quote
Eight hub genes were identified: interleukin 6 (IL6), tumor protein 53 (TP53), interleukin 8 (CXCL8), MYC, matrix metalloproteinase 9 (MMP9), beta-catenin 1 (CTNNB1), nitric oxide synthase 3 (NOS3) and interleukin 1 beta (IL1β).
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Eight hub genes were identified: interleukin 6 (IL6), tumor protein 53 (TP53), interleukin 8 (CXCL8), MYC, matrix metalloproteinase 9 (MMP9), beta-catenin 1 (CTNNB1), nitric oxide synthase 3 (NOS3) and interleukin 1 beta (IL1β).
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Next generation sequencing identifies differentially expressed genes between breast cancer with diabetes and breast cancer without diabetes
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Global Gene Expression Profiles of Visceral Adipose in Females with Type 2 Diabetes.
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The datasets analysed during the current study are available freely on the NCBI-GEO website; T2DM adipose tissue series GSE29231, breast adenocarcinoma series GSE70905 and diabetes and breast cancer series GSE150586.
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Age and estrogen-dependent inflammation in breast adenocarcinoma and normal breast tissue [cohort_1]
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Each of the series were analyzed using the GEO2R tool on NCBI GEO website to obtain differentially expressed genes (DEGs) between diseased and normal/control samples (https://www.ncbi.nlm.nih.gov/geo/geo2r/).
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343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:37556419
parent_hash
sha256:ce94d65ca74a0cb1b4deb78766eef17af6f9a5b25134770fb47a288fa1cb3a1c
fork_of
null
gaps array · 11 items
[0]
asset:data:geo:GSE150586 licence not read
[1]
asset:data:geo:GSE150586 not downloaded
[2]
asset:data:geo:GSE29231 licence not read
[3]
asset:data:geo:GSE29231 not downloaded
[4]
asset:data:geo:GSE70905 licence not read
[5]
asset:data:geo:GSE70905 not downloaded
[6]
execution.not_run
[7]
method.reader_named_unmapped
[8]
review.human_critique
[9]
review.independent_reader
[10]
review.machine_critique
assays array · 1 item
[0] 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
order_basis
analysis_only
id
assay:1
Complete file
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Identification of hub genes implicated in T2DM-BC molecular crosstalk may help elucidate on the causative mechanisms. For this, expression series GSE29231 (T2DM-adipose tissue), GSE70905 (BC- breast adenocarcinoma biopsies) and GSE150586 (diabetes and BC breast biopsies) were extracted from Gene Expression Omnibus (GEO) database, and analyzed to obtain differentially expressed genes (DEGs). The overlapping DEGs were determined using FunRich. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Transcription Factor (TF) analyses were performed on EnrichR software and a protein-protein interaction (PPI) network was constructed using STRING software. The network was analyzed on Cytoscape to determine hub genes and Kaplan-Meier plots were obtained. A total of 94 overlapping DEGs were identified between T2DM and BC samples. These DEGs were mainly enriched for GO terms RNA polymerase II core promoter proximal region sequence and its DNA binding, and cAMP response element binding protein, and KEGG pathways including bladder cancer, thyroid cancer and PI3K-AKT signaling. Eight hub genes were identified: interleukin 6 (IL6), tumor protein 53 (TP53), interleukin 8 (CXCL8), MYC, matrix metalloproteinase 9 (MMP9), beta-catenin 1 (CTNNB1), nitric oxide synthase 3 (NOS3) and interleukin 1 beta (IL1β). MMP9 and MYC associated unfavorably with overall survival (OS) in breast cancer patients, IL6, TP53, IL1β and CTNNB1 associated favorably, whereas NOS3 did not show any correlation with OS. Salt inducible kinase 1 (SIK1) was identified as a significant key DEG for comorbid samples when compared with BC, also dysregulated in T2DM and BC samples (adjusted p <0.05). Furthermore, four of the significant hub genes identified, including IL6, CXCL8, IL1B and MYC were also differentially expressed for comorbid samples, however at p < 0.05. Our study identifies key genes including SIK1, for comorbid state and 8 hub genes that may be implicated in T2DM-BC crosstalk. However, limitations associated with the insilico nature of this study necessitates for subsequent validation in wet lab. Hence, further investigation is crucial to study the molecular mechanisms of action underlying these genes to fully explore their potential as diagnostic and prognostic biomarkers and therapeutic targets for T2DM-BC association.", "claims": [{"id": "claim-method", "statement": "Each of the series were analyzed using the GEO2R tool on NCBI GEO website to obtain differentially expressed genes (DEGs) between diseased and normal/control samples (https://www.ncbi.nlm.nih.gov/geo/geo2r/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37556419", "locator": "sections[4] \"Differential gene expression analysis\" paragraph 2", "quote": "Each of the series were analyzed using the GEO2R tool on NCBI GEO website to obtain differentially expressed genes (DEGs) between diseased and normal/control samples (https://www.ncbi.nlm.nih.gov/geo/geo2r/)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets analysed during the current study are available freely on the NCBI-GEO website; T2DM adipose tissue series GSE29231, breast adenocarcinoma series GSE70905 and diabetes and breast cancer series GSE150586.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37556419", "locator": "sections[22] \"Data Availability\" paragraph 2", "quote": "The datasets analysed during the current study are available freely on the NCBI-GEO website; T2DM adipose tissue series GSE29231, breast adenocarcinoma series GSE70905 and diabetes and breast cancer series GSE150586."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Eight hub genes were identified: interleukin 6 (IL6), tumor protein 53 (TP53), interleukin 8 (CXCL8), MYC, matrix metalloproteinase 9 (MMP9), beta-catenin 1 (CTNNB1), nitric oxide synthase 3 (NOS3) and interleukin 1 beta (IL1β).", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37556419", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Eight hub genes were identified: interleukin 6 (IL6), tumor protein 53 (TP53), interleukin 8 (CXCL8), MYC, matrix metalloproteinase 9 (MMP9), beta-catenin 1 (CTNNB1), nitric oxide synthase 3 (NOS3) and interleukin 1 beta (IL1β)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Eight hub genes were identified: interleukin 6 (IL6), tumor protein 53 (TP53), interleukin 8 (CXCL8), MYC, matrix metalloproteinase 9 (MMP9), beta-catenin 1 (CTNNB1), nitric oxide synthase 3 (NOS3) and interleukin 1 beta (IL1β).", "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:37556419"], "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:GSE150586"], "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:GSE150586"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:37556419", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1371/journal.pone.0289839", "sha256": 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