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pmid:37158948

Identification and validation of miR-583 and mir-877-5p as biomarkers in patients with breast cancer: an integrated experimental and bioinformatics research.

Zahra Foruzandeh · Mohammad Reza Alivand · Mehdi Ghiami-Rad · Mohammad Zaefizadeh · Saeid Ghorbian

BMC research notes · 2023 doi:10.1186/s13104-023-06343-w

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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title
Identification and validation of miR-583 and mir-877-5p as biomarkers in patients with breast cancer: an integrated experimental and bioinformatics research.
doi
10.1186/s13104-023-06343-w
pmid
37158948
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[0]
Zahra Foruzandeh
[1]
Mohammad Reza Alivand
[2]
Mehdi Ghiami-Rad
[3]
Mohammad Zaefizadeh
[4]
Saeid Ghorbian
journal
BMC research notes
year
2023
abstract
OBJECTIVES: Breast cancer (BC) is one of the most common cancers with a high mortality rate in women worldwide. The advantages of early cancer diagnosis are apparent, and it is a critical factor in increasing the patient's life and survival. According to mounting evidence, microRNAs (miRNAs) may be crucial regulators of critical biological processes. miRNA dysregulation has been linked to the beginning and progression of various human malignancies, including BC, and can operate as tumor suppressors or oncomiRs. This study aimed to identify novel miRNA biomarkers in BC tissues and non-tumor adjacent tissues of patients with BC. Microarray datasets GSE15852 and GSE42568 for differentially expressed genes (DEGs) and GSE45666, GSE57897, and GSE40525 for differentially expressed miRNAs (DEMs) retrieved from the Gene Expression Omnibus (GEO) database were analyzed using "R" software. A protein-protein interaction (PPI) network was created to identify the hub genes. MirNet, miRTarBase, and MirPathDB databases were used to predict DEMs targeted genes. Functional enrichment analysis was used to demonstrate the topmost classifications of molecular pathways. The prognostic capability of selected DEMs was evaluated through a Kaplan-Meier plot. Moreover, the specificity and sensitivity of detected miRNAs to discriminate BC from adjacent controls were assessed by area under the curve (AUC) using the ROC curve analysis. In the last phase of this study, gene expression on 100 BC tissues and 100 healthy adjacent tissues were analyzed and calculated by using the Real-Time PCR method. RESULTS: This study declared that miR-583 and miR-877-5p were downregulated in tumor samples in comparison to adjacent non-tumor samples (|logFC|< 0 and P ≤ 0.05). Accordingly, ROC curve analysis demonstrated the biomarker potential of miR-877-5p (AUC = 0.63) and miR-583 (AUC = 0.69). Our results showed that has-miR-583 and has-miR-877-5p could be potential biomarkers in BC.
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The “R” software and “LIMMA” package were employed to efficiently analyze the chosen datasets utilizing correction, quantile normalization, and log2 conversion.
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All datasets supporting the conclusions of this article are available in NCBI/bioproject: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA116827, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA182286, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA195576, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA248377, and https://www.ncbi.nlm.nih.gov/bioproject/PRJNA174219. Further inquiries can be directed to the corresponding author.
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All datasets supporting the conclusions of this article are available in NCBI/bioproject: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA116827, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA182286, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA195576, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA248377, and https://www.ncbi.nlm.nih.gov/bioproject/PRJNA174219. Further inquiries can be directed to the corresponding author.
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miR-583 and miR-877-5p were downregulated in breast cancer tumor samples relative to adjacent non-tumor samples and showed potential as breast cancer biomarkers.
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This study declared that miR-583 and miR-877-5p were downregulated in tumor samples in comparison to adjacent non-tumor samples (|logFC|< 0 and P ≤ 0.05).
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Accordingly, ROC curve analysis demonstrated the biomarker potential of miR-877-5p (AUC = 0.63) and miR-583 (AUC = 0.69).
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Our results showed that has-miR-583 and has-miR-877-5p could be potential biomarkers in BC.
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miR-583 and miR-877-5p were downregulated in breast cancer tumor samples relative to adjacent non-tumor samples and showed potential as breast cancer biomarkers.
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sample_count
121
group_sizes
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group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Breast Cancer Gene Expression Analysis
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
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All datasets supporting the conclusions of this article are available in NCBI/bioproject: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA116827, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA182286, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA195576, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA248377, and https://www.ncbi.nlm.nih.gov/bioproject/PRJNA174219. Further inquiries can be directed to the corresponding author.
structure object · 15 fields
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All datasets supporting the conclusions of this article are available in NCBI/bioproject: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA116827, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA182286, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA195576, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA248377, and https://www.ncbi.nlm.nih.gov/bioproject/PRJNA174219. Further inquiries can be directed to the corresponding author.
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sample_count
116
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platform
14767
taxon
Homo sapiens
title
MicroRNA expression profile of breast cancer patients with adjacent normal control group.
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
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All datasets supporting the conclusions of this article are available in NCBI/bioproject: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA116827, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA182286, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA195576, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA248377, and https://www.ncbi.nlm.nih.gov/bioproject/PRJNA174219. Further inquiries can be directed to the corresponding author.
structure object · 15 fields
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All datasets supporting the conclusions of this article are available in NCBI/bioproject: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA116827, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA182286, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA195576, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA248377, and https://www.ncbi.nlm.nih.gov/bioproject/PRJNA174219. Further inquiries can be directed to the corresponding author.
access_statement_kind
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sample_accessions array · 453 items
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sample_count
453
group_sizes
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group_sizes_basis
null
platform
18722
taxon
Homo sapiens
title
The prognostic and predictive value of a five-microRNA-based classifier in breast cancer
resolution_checked_at
2026-11-01T18:46:34Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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[0]
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[3]
asset:data:geo:GSE40525 licence not read
[4]
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[5]
asset:data:geo:GSE42568 licence not read
[6]
asset:data:geo:GSE45666 not downloaded
[7]
asset:data:geo:GSE45666 licence not read
[8]
asset:data:geo:GSE57897 not downloaded
[9]
asset:data:geo:GSE57897 licence not read
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method-1
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differential_expression
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limma_voom
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count_matrix_with_condition
evidence object · 3 fields
score
1
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quote
The “R” software and “LIMMA” package were employed to efficiently analyze the chosen datasets utilizing correction, quantile normalization, and log2 conversion.
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id
method-2
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survival_analysis
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kaplan_meier
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[0]
survival_km
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data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.7
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Kaplan-Meier
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id
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network_analysis
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ppi_network
label
Network / pathway analysis
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evidence object · 3 fields
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0.7
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protein-protein interaction
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id
method-4
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diagnostic_evaluation
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roc
label
Diagnostic test evaluation
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confusion_counts
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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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[0]
meta_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
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axes object · 3 fields
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required_operations array · 3 items
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normalise_counts
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fdr_bh
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basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: limma_voom.
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
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true
accessions array · 5 items
[0]
GSE15852
[1]
GSE42568
[2]
GSE45666
[3]
GSE57897
[4]
GSE40525
resolved_accessions array · 5 items
[0]
GSE15852
[1]
GSE42568
[2]
GSE45666
[3]
GSE57897
[4]
GSE40525
statements array · 1 item
[0]
All datasets supporting the conclusions of this article are available in NCBI/bioproject: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA116827, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA182286, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA195576, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA248377, and https://www.ncbi.nlm.nih.gov/bioproject/PRJNA174219. Further inquiries can be directed to the corresponding author.
basis
The paper names GSE15852, GSE42568, GSE45666, GSE57897, GSE40525 in National Center for Biotechnology Information (NCBI) 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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[1]
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fdr_bh
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source:pmid:37158948
[1]
data:geo:GSE15852
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run_analysis
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[0]
data:geo:GSE15852
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review object · 5 fields
state
partial
machine_critique object · 5 fields
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extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T18:39:02Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
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verbatim
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5
usage object · 3 fields
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1975
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128
stages array · 1 item
[0] object · 4 fields
id
extraction
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complete
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execution.not_run
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entities array · 3 items
[0] object · 3 fields
id
pmid:37158948
type
paper
label
pmid:37158948
[1] object · 3 fields
id
source:pmid:37158948
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manuscript
label
PMID 37158948 full text
[2] object · 3 fields
id
data:geo:GSE15852
type
dataset
label
GEO GSE15852
activities array · 3 items
[0] object · 4 fields
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activity-reading-sci-2026-11-01
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classification
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paper
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pmid:37158948
[1] object · 3 fields
id
source:pmid:37158948
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manuscript
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PMID 37158948 full text
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data:geo:GSE15852
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dataset
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GEO GSE15852
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agent:corpus-assay-engine
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agent:minimax-reader
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activity-resolve-GSE15852
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used array · 1 item
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data:geo:GSE15852
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agent:corpus-assay-engine
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dsl_catalogue_fingerprint
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lineage object · 4 fields
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[4]
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[5]
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[6]
asset:data:geo:GSE45666 licence not read
[7]
asset:data:geo:GSE45666 not downloaded
[8]
asset:data:geo:GSE57897 licence not read
[9]
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microarray
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99e1195c7d6f
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[0]
-tumor adjacent tissues of patients with BC. Microarray datasets GSE15852 and GSE42568 for different
[1]
on DEGs Each of the target genes analyzed by microarray datasets has their pathways enriched. KEGG p
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es were analyzed and calculated by using the Real-Time PCR method. RESULTS: This study declared that mi
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The “R” software and “LIMMA” package were employed to efficiently analyze the chosen datasets utilizing correction, quantile normalization, and log2 conversion.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37158948", "kind": "science-record", "revision": 4, "content_hash": "sha256:43170b2bbce822f54f20a017ea931c71f749cc0ff8dc2009a2df2ae411c0be62", "created_at": "2026-11-01T19:01:49Z", "updated_at": "2026-11-01T22:51:51Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification and validation of miR-583 and mir-877-5p as biomarkers in patients with breast cancer: an integrated experimental and bioinformatics research.", "doi": "10.1186/s13104-023-06343-w", "pmid": "37158948", "authors": ["Zahra Foruzandeh", "Mohammad Reza Alivand", "Mehdi Ghiami-Rad", "Mohammad Zaefizadeh", "Saeid Ghorbian"], "journal": "BMC research notes", "year": 2023, "abstract": "OBJECTIVES: Breast cancer (BC) is one of the most common cancers with a high mortality rate in women worldwide. The advantages of early cancer diagnosis are apparent, and it is a critical factor in increasing the patient's life and survival. According to mounting evidence, microRNAs (miRNAs) may be crucial regulators of critical biological processes. miRNA dysregulation has been linked to the beginning and progression of various human malignancies, including BC, and can operate as tumor suppressors or oncomiRs. This study aimed to identify novel miRNA biomarkers in BC tissues and non-tumor adjacent tissues of patients with BC. Microarray datasets GSE15852 and GSE42568 for differentially expressed genes (DEGs) and GSE45666, GSE57897, and GSE40525 for differentially expressed miRNAs (DEMs) retrieved from the Gene Expression Omnibus (GEO) database were analyzed using \"R\" software. A protein-protein interaction (PPI) network was created to identify the hub genes. MirNet, miRTarBase, and MirPathDB databases were used to predict DEMs targeted genes. Functional enrichment analysis was used to demonstrate the topmost classifications of molecular pathways. The prognostic capability of selected DEMs was evaluated through a Kaplan-Meier plot. Moreover, the specificity and sensitivity of detected miRNAs to discriminate BC from adjacent controls were assessed by area under the curve (AUC) using the ROC curve analysis. In the last phase of this study, gene expression on 100 BC tissues and 100 healthy adjacent tissues were analyzed and calculated by using the Real-Time PCR method.\nRESULTS: This study declared that miR-583 and miR-877-5p were downregulated in tumor samples in comparison to adjacent non-tumor samples (|logFC|< 0 and P ≤ 0.05). Accordingly, ROC curve analysis demonstrated the biomarker potential of miR-877-5p (AUC = 0.63) and miR-583 (AUC = 0.69). Our results showed that has-miR-583 and has-miR-877-5p could be potential biomarkers in BC.", "claims": [{"id": "claim-method", "statement": "The “R” software and “LIMMA” package were employed to efficiently analyze the chosen datasets utilizing correction, quantile normalization, and log2 conversion.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37158948", "locator": "sections[4] \"Identification of DEMs and DEGs\" paragraph 2", "quote": "The “R” software and “LIMMA” package were employed to efficiently analyze the chosen datasets utilizing correction, quantile normalization, and log2 conversion."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All datasets supporting the conclusions of this article are available in NCBI/bioproject: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA116827, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA182286, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA195576, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA248377, and https://www.ncbi.nlm.nih.gov/bioproject/PRJNA174219. Further inquiries can be directed to the corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37158948", "locator": "sections[29] \"notes\" paragraph 1", "quote": "All datasets supporting the conclusions of this article are available in NCBI/bioproject: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA116827, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA182286, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA195576, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA248377, and https://www.ncbi.nlm.nih.gov/bioproject/PRJNA174219. Further inquiries can be directed to the corresponding author."}], "state": "complete"}, {"id": "claim-target-result", "statement": "miR-583 and miR-877-5p were downregulated in breast cancer tumor samples relative to adjacent non-tumor samples and showed potential as breast cancer biomarkers.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37158948", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "This study declared that miR-583 and miR-877-5p were downregulated in tumor samples in comparison to adjacent non-tumor samples (|logFC|< 0 and P ≤ 0.05)."}, {"asset": "source:pmid:37158948", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Accordingly, ROC curve analysis demonstrated the biomarker potential of miR-877-5p (AUC = 0.63) and miR-583 (AUC = 0.69)."}, {"asset": "source:pmid:37158948", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Our results showed that has-miR-583 and has-miR-877-5p could be potential biomarkers in BC."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "miR-583 and miR-877-5p were downregulated in breast cancer tumor samples relative to adjacent non-tumor samples and showed potential as breast cancer biomarkers.", "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:37158948"], "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:GSE15852"], "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:GSE15852"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:37158948", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1186/s13104-023-06343-w", "sha256": "sha256:c9ded1bc44e04adfde87d672c454d53467e4c928fdcbcde39f1fb9aedcd732d3", "bytes": 25906, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1186/s13104-023-06343-w", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC10169388", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE15852", "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=GSE15852", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE15852", "version": null, "note": "All datasets supporting the conclusions of this article are available in NCBI/bioproject: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA116827, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA182286, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA195576, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA248377, and https://www.ncbi.nlm.nih.gov/bioproject/PRJNA174219. Further inquiries can be directed to the corresponding author.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "All datasets supporting the conclusions of this article are available in NCBI/bioproject: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA116827, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA182286, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA195576, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA248377, and https://www.ncbi.nlm.nih.gov/bioproject/PRJNA174219. 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