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基于基因火山图和 WGCNA 筛选预防皮肤癌发生的关键模块和关键基因。

Screening of key modules and key genes in the prevention of skin cancer development based on gene volcano plot and WGCNA.

机构信息

Department of Dermatology, The People's Hospital of Yubei District of Chongqing, Chongqing, China.

Chongqing Meilun Meihuan Plastic Surgery Hospital, Chongqing, China.

出版信息

Skin Res Technol. 2024 Jul;30(7):e13873. doi: 10.1111/srt.13873.

Abstract

BACKGROUND

Skin cancer, a prevalent form of cancer that is on the rise worldwide, requires proactive prevention strategies to reduce the burden of screening, treatment, and mortality. The KEGG research highlighted the significant involvement of red module genes in protein digestion and absorption. These findings provide valuable insights into the underlying molecular mechanisms associated with skin cancer susceptibility, offering potential targets for further research and development of preventive strategies.

MATERIALS AND METHODS

Hub genes numbered 130. "limma" in R found 600 DEGs from GSE66359 dataset. DEGs are enriched in BP: chromosome segregation, CC: chromosomal region, and MF: DNA replication origin binding, according to GO analysis. Cell cycle was enriched in DEGs by KEGG and GSEA. Finally, significant genes were COL5A1, CTHRC1, ECM1, FSTL1, KDELR3, and WIPI1.

RESULTS

ECM1 and WIPI1 greatly prevented skin cancer. This study created a coexpression network using WGCNA to investigate skin cancer susceptibility modules and cardiovascular disease genes.

CONCLUSION

Our study finds a module and many important genes that are essential building blocks in the etiology of skin cancer, which may help us understand the molecular mechanisms of disease prevention.

摘要

背景

皮肤癌是一种全球发病率上升的常见癌症,需要积极的预防策略来减轻筛查、治疗和死亡率的负担。KEGG 研究强调了红色模块基因在蛋白质消化和吸收中的重要作用。这些发现为皮肤癌易感性相关的潜在分子机制提供了有价值的见解,为进一步研究和开发预防策略提供了潜在的靶点。

材料和方法

R 中的“limma”从 GSE66359 数据集发现了 130 个枢纽基因。GO 分析显示,DEGs 在 BP 中富集:染色体分离,CC:染色体区域,MF:DNA 复制起始点结合。KEGG 和 GSEA 分析显示细胞周期在 DEGs 中富集。最后,显著的基因是 COL5A1、CTHRC1、ECM1、FSTL1、KDELR3 和 WIPI1。

结果

ECM1 和 WIPI1 极大地预防了皮肤癌。本研究使用 WGCNA 构建了一个共表达网络,以研究皮肤癌易感性模块和心血管疾病基因。

结论

我们的研究发现了一个模块和许多重要的基因,它们是皮肤癌发病机制的重要组成部分,这可能有助于我们了解疾病预防的分子机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/732a/11283884/099c5d13207d/SRT-30-e13873-g007.jpg

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