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pmid:40024937

EGFR influences the resistance to targeted therapy in BRAF V600E melanomas by regulating the ferroptosis process.

Yuexin Sun · Haoyue Yu · Ying Zhou · Jun Bao · Xiaoping Qian

Archives of dermatological research · 2025 doi:10.1007/s00403-025-03895-8

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:40024937
kind
science-record
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sha256:4fe618f9fd0c813c1e6715bdcef49c2c1053b6434de1727302c95f9371e8f3a4
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created_at
2026-11-01T20:30:14Z
updated_at
2026-11-01T22:56:10Z
generator object · 2 fields
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corpus-assay-engine
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paper object · 10 fields
state
complete
title
EGFR influences the resistance to targeted therapy in BRAF V600E melanomas by regulating the ferroptosis process.
doi
10.1007/s00403-025-03895-8
pmid
40024937
authors array · 5 items
[0]
Yuexin Sun
[1]
Haoyue Yu
[2]
Ying Zhou
[3]
Jun Bao
[4]
Xiaoping Qian
journal
Archives of dermatological research
year
2025
abstract
To identify genes differentially expressed between resistant and sensitive BRAF V600E melanoma cell lines using bioinformatics tools applied to GEO data. We retrieved and downloaded the target gene set (GSE45558) from the GEO database and used R software to filter differentially expressed genes (DEGs) between BRAF V600E melanoma cell lines resistant. The identified DEGs were subjected to GO functional enrichment analysis (including biological processes, molecular functions, and cellular components) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, utilizing R software. Protein-protein interaction networks for the DEGs were generated using the STRING online database. Top hub genes were cross-referenced with genes related to ferroptosis from the FerrDb database to identify DEGs linked to ferroptosis in resistant melanoma cells. From the GEO database analysis, we identified the top 100 DEGs between BRAF V600E melanoma cell lines, including 50 downregulated and 50 upregulated DEGs. Using STRING and Cytoscape, we identified the top 10 hub genes: IL6, IL1B, CCL2, MMP2, TGFB2, EGFR, POSTN, SERPINE1, COL1A2, and MITF. Cross-referencing with the FerrDb database, we found that IL6 and EGFR are differentially expressed genes related to ferroptosis in resistant melanoma cells. Validation through clinical samples and in vitro experiments confirmed the high expression of the ferroptosis-related gene EGFR as a potential biomarker for resistance to targeted therapy in BRAFV600E melanoma. Bioinformatics analysis identified key resistance genes in BRAFV600E melanoma targeted therapy, demonstrating the impact of ferroptosis-related gene EGFR on the resistance of BRAFV600E melanoma.
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Survival curve analysis was performed using the Kaplan-Meier method to evaluate the survival probabilities over time. All subjects were followed from the date of initial treatment until the occurrence of the event of interest or the end of the study period, whichever came first. The log-rank test was employed to compare the survival distributions between different groups [12].
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sections[10] "Survival curve analysis" paragraph 2
quote
Survival curve analysis was performed using the Kaplan-Meier method to evaluate the survival probabilities over time. All subjects were followed from the date of initial treatment until the occurrence of the event of interest or the end of the study period, whichever came first. The log-rank test was employed to compare the survival distributions between different groups [12].
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sections[24] "Data availability" paragraph 2
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The experimental data used to support the findings of this study are available from the corresponding author upon request.
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the published estimate and its evidence
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Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
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GSM1109492
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GSM1109493
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GSM1109494
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GSM1109495
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GSM1109497
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GSM1109513
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GSM1109515
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GSM1109516
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GSM1109517
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GSM1109518
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GSM1109519
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GSM1109520
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GSM1109521
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GSM1109522
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GSM1109523
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GSM1109524
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GSM1109525
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GSM1109526
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GSM1109527
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GSM1109528
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GSM1109529
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GSM1109530
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GSM1109531
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GSM1109532
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GSM1109533
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GSM1109534
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GSM1109535
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46
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6244
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Homo sapiens
title
Expression data from BRAF-mutant melanoma cell lines
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2026-11-01T20:16:08Z
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identifier_resolution_only_no_download_no_licence_read
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Survival curve analysis was performed using the Kaplan-Meier method to evaluate the survival probabilities over time. All subjects were followed from the date of initial treatment until the occurrence of the event of interest or the end of the study period, whichever came first. The log-rank test was employed to compare the survival distributions between different groups [12].
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Protein-protein interaction
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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: kaplan_meier.
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The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
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GSE45558
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The experimental data used to support the findings of this study are available from the corresponding author upon request.
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The paper names GSE45558 in GEO database and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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Complete file
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We retrieved and downloaded the target gene set (GSE45558) from the GEO database and used R software to filter differentially expressed genes (DEGs) between BRAF V600E melanoma cell lines resistant. The identified DEGs were subjected to GO functional enrichment analysis (including biological processes, molecular functions, and cellular components) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, utilizing R software. Protein-protein interaction networks for the DEGs were generated using the STRING online database. Top hub genes were cross-referenced with genes related to ferroptosis from the FerrDb database to identify DEGs linked to ferroptosis in resistant melanoma cells. From the GEO database analysis, we identified the top 100 DEGs between BRAF V600E melanoma cell lines, including 50 downregulated and 50 upregulated DEGs. Using STRING and Cytoscape, we identified the top 10 hub genes: IL6, IL1B, CCL2, MMP2, TGFB2, EGFR, POSTN, SERPINE1, COL1A2, and MITF. 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