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pmid:37138755

An autophagy-related diagnostic biomarker for uterine fibroids: FOS.

Lei Cai · Jie Li · Rui Long · Zhiqi Liao · Juejun Gong · Bowen Zheng · Hanwang Zhang

Frontiers in medicine · 2023 doi:10.3389/fmed.2023.1153537

Paper

complete

Experiment

complete

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
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pmid:37138755
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science-record
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2026-11-01T19:01:48Z
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paper object · 10 fields
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title
An autophagy-related diagnostic biomarker for uterine fibroids: FOS.
doi
10.3389/fmed.2023.1153537
pmid
37138755
authors array · 7 items
[0]
Lei Cai
[1]
Jie Li
[2]
Rui Long
[3]
Zhiqi Liao
[4]
Juejun Gong
[5]
Bowen Zheng
[6]
Hanwang Zhang
journal
Frontiers in medicine
year
2023
abstract
Uterine fibroids (UFs) are the most common benign gynecologic tumors in reproductive-aged women. The typical diagnostic strategies of UFs are transvaginal ultrasonography and pathological feature, while molecular biomarkers are considered conventional options in the assessment of the origin and development of UFs in recent years. Here, we extracted the differential expression genes (DEGs) and differential DNA methylation genes (DMGs) of UFs from the Gene Expression Omnibus (GEO) database, GSE64763, GSE120854, GSE45188, and GSE45187. 167 DEGs with aberrant DNA methylation were identified, and further Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed by the relevant R package. We next discerned 2 hub genes (FOS, and TNFSF10) with autophagy involvement by overlapping 167 DEGs and 232 autophagic regulators from Human Autophagy Database. FOS was identified as the most crucial gene through the Protein-Protein Interactions (PPI) network with the correlation of the immune scores. Moreover, the down-regulated expression of FOS in UFs tissue at both mRNA and protein levels was validated by RT-qPCR and immunohistochemistry respectively. The area under the ROC curve (AUC) of FOS was 0.856, with a sensitivity of 86.2% and a specificity of 73.9%. Overall, we explored the possible biomarker of UFs undergoing DNA-methylated autophagy and provided clinicians with a comprehensive assessment of UFs.
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The “pROC” package (version 1.18.0) was used for ROC curve analysis and the area under the curve (AUC) was used to estimate the diagnostic value of key genes.
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sections[14] "2.12. ROC curve analysis" paragraph 2
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The “pROC” package (version 1.18.0) was used for ROC curve analysis and the area under the curve (AUC) was used to estimate the diagnostic value of key genes.
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The diagnosis model of FOS was built based on GSE64763. AUC was 0.856 (95% confidence interval: 75.2–95.9%), and the sensitivity and specificity were 0.862 and 0.739, respectively (Figure 6A).
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The diagnosis model of FOS was built based on GSE64763. AUC was 0.856 (95% confidence interval: 75.2–95.9%), and the sensitivity and specificity were 0.862 and 0.739, respectively (Figure 6A).
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sections[23] "3.7. Diagnostic value" paragraph 2
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The diagnosis model of FOS was built based on GSE64763. AUC was 0.856 (95% confidence interval: 75.2–95.9%), and the sensitivity and specificity were 0.862 and 0.739, respectively (Figure 6A).
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Integrated epigenome, exome and transcriptome analyses reveal molecular subtypes and homeotic transformation in uterine fibroids [DNA methylation]
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capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:37138755
parent_hash
sha256:7fe4e576aa6338bbbed77fdd8b945bfe390303a7aefb4b2a26529140747004c1
fork_of
null
gaps array · 13 items
[0]
asset:data:geo:GSE120854 licence not read
[1]
asset:data:geo:GSE120854 not downloaded
[2]
asset:data:geo:GSE45187 licence not read
[3]
asset:data:geo:GSE45187 not downloaded
[4]
asset:data:geo:GSE45188 licence not read
[5]
asset:data:geo:GSE45188 not downloaded
[6]
asset:data:geo:GSE64763 licence not read
[7]
asset:data:geo:GSE64763 not downloaded
[8]
execution.not_run
[9]
method.reader_differs_from_extractor
[10]
review.human_critique
[11]
review.independent_reader
[12]
review.machine_critique
assays array · 3 items
[0] object · 11 fields
role
data_generation
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 3 items
[0]
oth mRNA and protein levels was validated by RT-qPCR and immunohistochemistry respectively. The a
[1]
mRNA and protein levels was validated by RT-qPCR and immunohistochemistry respectively. The a
[2]
The expression of FOS was investigated using real-time quantitative PCR and IHC in the fibroid and paired myometrium
order_basis
paper_text_order:1167
id
assay:1
[1] object · 11 fields
role
data_generation
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 4 items
[0]
protein levels was validated by RT-qPCR and immunohistochemistry respectively. The area under the ROC curve (
[1]
ive expression of FOS in the mRNA level. (B) Immunohistochemical results of typical samples from two groups,
[2]
oups, all images were presented at 20-X. (C) IHC score. NM, normal myometrium, UFs, uterine f
[3]
tigated using real-time quantitative PCR and IHC in the fibroid and paired myometrium from 20
order_basis
paper_text_order:1180
id
assay:2
[2] object · 11 fields
role
analysis
definition_id
diagnostic_evaluation
definition_version
f2132e96ae6c7a4e
required_operations array · 6 items
[0]
confusion_counts
[1]
roc_curve
[2]
sensitivity_specificity
[3]
solve_confusion_matrix
[4]
classification_metrics
[5]
published_precision_envelope
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The “pROC” package (version 1.18.0) was used for ROC curve analysis and the area under the curve (AUC) was used to estimate the diagnostic value of key genes.
order_basis
consumes_earlier_output
id
assay:3
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37138755", "kind": "science-record", "revision": 4, "content_hash": "sha256:eea66ac2ec3dc1d13f86719ece337c025d82049f5f726853ae29ef8c34121de5", "created_at": "2026-11-01T19:01:48Z", "updated_at": "2026-11-01T22:51:49Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "An autophagy-related diagnostic biomarker for uterine fibroids: FOS.", "doi": "10.3389/fmed.2023.1153537", "pmid": "37138755", "authors": ["Lei Cai", "Jie Li", "Rui Long", "Zhiqi Liao", "Juejun Gong", "Bowen Zheng", "Hanwang Zhang"], "journal": "Frontiers in medicine", "year": 2023, "abstract": "Uterine fibroids (UFs) are the most common benign gynecologic tumors in reproductive-aged women. The typical diagnostic strategies of UFs are transvaginal ultrasonography and pathological feature, while molecular biomarkers are considered conventional options in the assessment of the origin and development of UFs in recent years. Here, we extracted the differential expression genes (DEGs) and differential DNA methylation genes (DMGs) of UFs from the Gene Expression Omnibus (GEO) database, GSE64763, GSE120854, GSE45188, and GSE45187. 167 DEGs with aberrant DNA methylation were identified, and further Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed by the relevant R package. We next discerned 2 hub genes (FOS, and TNFSF10) with autophagy involvement by overlapping 167 DEGs and 232 autophagic regulators from Human Autophagy Database. FOS was identified as the most crucial gene through the Protein-Protein Interactions (PPI) network with the correlation of the immune scores. Moreover, the down-regulated expression of FOS in UFs tissue at both mRNA and protein levels was validated by RT-qPCR and immunohistochemistry respectively. The area under the ROC curve (AUC) of FOS was 0.856, with a sensitivity of 86.2% and a specificity of 73.9%. Overall, we explored the possible biomarker of UFs undergoing DNA-methylated autophagy and provided clinicians with a comprehensive assessment of UFs.", "claims": [{"id": "claim-method", "statement": "The “pROC” package (version 1.18.0) was used for ROC curve analysis and the area under the curve (AUC) was used to estimate the diagnostic value of key genes.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37138755", "locator": "sections[14] \"2.12. 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AUC was 0.856 (95% confidence interval: 75.2–95.9%), and the sensitivity and specificity were 0.862 and 0.739, respectively (Figure 6A).", "kind": "quantitative", "target": {"value": 0.856, "unit": "auc", "tolerance": null, "source": "The diagnosis model of FOS was built based on GSE64763. AUC was 0.856 (95% confidence interval: 75.2–95.9%), and the sensitivity and specificity were 0.862 and 0.739, respectively (Figure 6A)."}, "evidence": [{"asset": "source:pmid:37138755", "locator": "sections[23] \"3.7. Diagnostic value\" paragraph 2", "quote": "The diagnosis model of FOS was built based on GSE64763. AUC was 0.856 (95% confidence interval: 75.2–95.9%), and the sensitivity and specificity were 0.862 and 0.739, respectively (Figure 6A)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The diagnosis model of FOS was built based on GSE64763. AUC was 0.856 (95% confidence interval: 75.2–95.9%), and the sensitivity and specificity were 0.862 and 0.739, respectively (Figure 6A).", "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:37138755"], "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:GSE120854"], "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:GSE120854"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:37138755", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fmed.2023.1153537", "sha256": "sha256:14c4592ef4f485f01017dbb67230a87bd36b86fb5e5c2524204f2aec4a1adef4", "bytes": 37721, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fmed.2023.1153537", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC10150886", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE120854", "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=GSE120854", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE120854", "version": null, "note": "The datasets presented in this study can be found in online repositories. 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