Integrated Analysis Reveals COL4A3 as a Novel Diagnostic and Therapeutic Target in UV-Related Skin Cutaneous Melanoma DOI Creative Commons

Zuochao Yao,

Lu Lu, Qianhui Xu

et al.

Clinical Cosmetic and Investigational Dermatology, Journal Year: 2024, Volume and Issue: Volume 17, P. 1429 - 1446

Published: June 1, 2024

Background: High levels of UV exposure are a significant factor that can trigger the onset and progression SKCM. Moreover, this is closely linked to malignancy tumor prognosis patients. Our objective identify biomarker database associated with exposure, which be utilized for prognostic analysis diagnosis treatment Methods: This study used weighted gene co-expression network analyses (WGCNA) mutation frequency screen UV-related target genes using GSE59455 cancer genome atlas databases (TCGA). The model was created Cox regression least absolute shrinkage selection operator (LASSCO). Furthermore, in vitro experiments further validated overexpression or knockdown COL4A3 could regulate proliferation migration abilities SKMEL28 A357 melanoma cells. Results: A included six high SKCM: COL4A3, CHRM2, DSC3, GIMAP5, LAMC2, PSG7. had strong patient survival correlation ( P ˂0.001, hazard ratio (HR) = 1.57) predictor HR 3.050). negatively correlated immune cells, including CD8 + T cells (Cor=− 0.408, ˂0.001), M1-type macrophages 0.385, checkpoints, programmed cell death ligand-1. we identified as molecule predictive functionality. Overexpression significantly inhibited proliferation, migration, invasion while yielded opposite results. And enhanced inhibitory effects imatinib on Conclusion: efficacy by analyzing prognosis, infiltration, checkpoint profiles. stands out novel diagnostic therapeutic SKCM, offering new strategies small-molecule targeted drug therapies. Keywords: model, skin cutaneous melanoma, analysis, WGCNA,

Language: Английский

Integrated Analysis Reveals COL4A3 as a Novel Diagnostic and Therapeutic Target in UV-Related Skin Cutaneous Melanoma DOI Creative Commons

Zuochao Yao,

Lu Lu, Qianhui Xu

et al.

Clinical Cosmetic and Investigational Dermatology, Journal Year: 2024, Volume and Issue: Volume 17, P. 1429 - 1446

Published: June 1, 2024

Background: High levels of UV exposure are a significant factor that can trigger the onset and progression SKCM. Moreover, this is closely linked to malignancy tumor prognosis patients. Our objective identify biomarker database associated with exposure, which be utilized for prognostic analysis diagnosis treatment Methods: This study used weighted gene co-expression network analyses (WGCNA) mutation frequency screen UV-related target genes using GSE59455 cancer genome atlas databases (TCGA). The model was created Cox regression least absolute shrinkage selection operator (LASSCO). Furthermore, in vitro experiments further validated overexpression or knockdown COL4A3 could regulate proliferation migration abilities SKMEL28 A357 melanoma cells. Results: A included six high SKCM: COL4A3, CHRM2, DSC3, GIMAP5, LAMC2, PSG7. had strong patient survival correlation ( P ˂0.001, hazard ratio (HR) = 1.57) predictor HR 3.050). negatively correlated immune cells, including CD8 + T cells (Cor=− 0.408, ˂0.001), M1-type macrophages 0.385, checkpoints, programmed cell death ligand-1. we identified as molecule predictive functionality. Overexpression significantly inhibited proliferation, migration, invasion while yielded opposite results. And enhanced inhibitory effects imatinib on Conclusion: efficacy by analyzing prognosis, infiltration, checkpoint profiles. stands out novel diagnostic therapeutic SKCM, offering new strategies small-molecule targeted drug therapies. Keywords: model, skin cutaneous melanoma, analysis, WGCNA,

Language: Английский

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