Identification and validation of a pyropt prognosis of cutaneous melanoma.
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| Title: | Identification and validation of a pyropt prognosis of cutaneous melanoma. |
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| Authors: | Jiang, YaSu1 gggzhenhua@hotmail.com, Chen, YingYing1, Gao, ShengFeng1, Wang, MengTing1, Gong, ZhenHua1, Ji, JianFeng1 |
| Source: | Electronic Journal of Biotechnology. May2026, Vol. 81, p1-25. 25p. |
| Subjects: | Pyroptosis, Prognostic models, Cutaneous malignant melanoma, Cellular signal transduction, Biomarkers, Gene expression, Tumor-infiltrating immune cells |
| Abstract: | Background Cutaneous melanoma (CM) is a highly aggressive skin malignancy with marked molecular heterogeneity and poor prognosis. Pyroptosis, an inflammatory form of programmed cell death, has been implicated in tumor progression and immune regulation; however, its prognostic value in CM remains incompletely understood. Results Gene expression data from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas skin cutaneous melanoma (TCGA-SKCM) cohorts were analyzed to identify pyroptosis-related differentially expressed genes (PRGs). Eight CM-associated PRGs were identified through integrated differential expression and intersection analyses. Functional enrichment analyses revealed that these genes were involved in inflammatory responses, immune regulation, and cell cycle-related pathways. A prognostic model was constructed using univariate Cox and least absolute shrinkage and selection operator (LASSO) regression analyses in the TCGA-SKCM cohort. Six PRGs were incorporated into the prognostic signature, of which ISG15, GZMB, and EGFR were independently associated with patient survival. The model demonstrated good predictive performance, as confirmed by receiver operating characteristic curves, Kaplan-Meier survival analysis, calibration plots, and decision curve analysis at 1-, 3-, and 5-year time points. Immune infiltration analysis revealed that ISG15, GZMB, and EGFR expression were positively correlated with the enrichment of multiple immune cell populations. Mutation profiling further supported the clinical relevance of these prognostic genes. Conclusions In summary, we developed a pyroptosis-related prognostic model for cutaneous melanoma and identified ISG15, GZMB, and EGFR as clinically relevant prognostic biomarkers. Our findings enhance the understanding of pyroptosis-associated molecular mechanisms in CM and support their potential utility in prognostic stratification. [ABSTRACT FROM AUTHOR] |
| Copyright of Electronic Journal of Biotechnology is the property of Pontificia Universidad Catolica de Valparaiso and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 193961521 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Identification and validation of a pyropt prognosis of cutaneous melanoma. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jiang%2C+YaSu%22">Jiang, YaSu</searchLink><relatesTo>1</relatesTo><i> gggzhenhua@hotmail.com</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+YingYing%22">Chen, YingYing</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Gao%2C+ShengFeng%22">Gao, ShengFeng</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Wang%2C+MengTing%22">Wang, MengTing</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Gong%2C+ZhenHua%22">Gong, ZhenHua</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ji%2C+JianFeng%22">Ji, JianFeng</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Electronic+Journal+of+Biotechnology%22">Electronic Journal of Biotechnology</searchLink>. May2026, Vol. 81, p1-25. 25p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Pyroptosis%22">Pyroptosis</searchLink><br /><searchLink fieldCode="DE" term="%22Prognostic+models%22">Prognostic models</searchLink><br /><searchLink fieldCode="DE" term="%22Cutaneous+malignant+melanoma%22">Cutaneous malignant melanoma</searchLink><br /><searchLink fieldCode="DE" term="%22Cellular+signal+transduction%22">Cellular signal transduction</searchLink><br /><searchLink fieldCode="DE" term="%22Biomarkers%22">Biomarkers</searchLink><br /><searchLink fieldCode="DE" term="%22Gene+expression%22">Gene expression</searchLink><br /><searchLink fieldCode="DE" term="%22Tumor-infiltrating+immune+cells%22">Tumor-infiltrating immune cells</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background Cutaneous melanoma (CM) is a highly aggressive skin malignancy with marked molecular heterogeneity and poor prognosis. Pyroptosis, an inflammatory form of programmed cell death, has been implicated in tumor progression and immune regulation; however, its prognostic value in CM remains incompletely understood. Results Gene expression data from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas skin cutaneous melanoma (TCGA-SKCM) cohorts were analyzed to identify pyroptosis-related differentially expressed genes (PRGs). Eight CM-associated PRGs were identified through integrated differential expression and intersection analyses. Functional enrichment analyses revealed that these genes were involved in inflammatory responses, immune regulation, and cell cycle-related pathways. A prognostic model was constructed using univariate Cox and least absolute shrinkage and selection operator (LASSO) regression analyses in the TCGA-SKCM cohort. Six PRGs were incorporated into the prognostic signature, of which ISG15, GZMB, and EGFR were independently associated with patient survival. The model demonstrated good predictive performance, as confirmed by receiver operating characteristic curves, Kaplan-Meier survival analysis, calibration plots, and decision curve analysis at 1-, 3-, and 5-year time points. Immune infiltration analysis revealed that ISG15, GZMB, and EGFR expression were positively correlated with the enrichment of multiple immune cell populations. Mutation profiling further supported the clinical relevance of these prognostic genes. Conclusions In summary, we developed a pyroptosis-related prognostic model for cutaneous melanoma and identified ISG15, GZMB, and EGFR as clinically relevant prognostic biomarkers. Our findings enhance the understanding of pyroptosis-associated molecular mechanisms in CM and support their potential utility in prognostic stratification. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Electronic Journal of Biotechnology is the property of Pontificia Universidad Catolica de Valparaiso and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.ejbt.2026.100709 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 1 Subjects: – SubjectFull: Pyroptosis Type: general – SubjectFull: Prognostic models Type: general – SubjectFull: Cutaneous malignant melanoma Type: general – SubjectFull: Cellular signal transduction Type: general – SubjectFull: Biomarkers Type: general – SubjectFull: Gene expression Type: general – SubjectFull: Tumor-infiltrating immune cells Type: general Titles: – TitleFull: Identification and validation of a pyropt prognosis of cutaneous melanoma. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jiang, YaSu – PersonEntity: Name: NameFull: Chen, YingYing – PersonEntity: Name: NameFull: Gao, ShengFeng – PersonEntity: Name: NameFull: Wang, MengTing – PersonEntity: Name: NameFull: Gong, ZhenHua – PersonEntity: Name: NameFull: Ji, JianFeng IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 07173458 Numbering: – Type: volume Value: 81 Titles: – TitleFull: Electronic Journal of Biotechnology Type: main |
| ResultId | 1 |
