Identification of hub anoikis-associated genes and risk signature in cutaneous melanoma

Y-W He1, Q-P Fan, A-L Hua

  • 1Department of Hand Plastic Surgery, The First People's Hospital of Linping District, Hangzhou, China. lq23178495@163.com.

Abstract

Insights

This study identifies seven key anoikis-associated genes (FASLG, SOD2, BST2, PIK3R2, IKZF3, CDK2, and RAC3) that can predict cutaneous melanoma (CM) progression and patient survival, offering a new prognostic signature.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Cutaneous melanoma (CM) is a lethal skin cancer with poor therapeutic outcomes.
  • Anoikis, a form of programmed cell death, is increasingly recognized for its role in cancer metastasis.
  • Understanding anoikis-associated genes is crucial for developing novel prognostic markers in CM.

Purpose of the Study:

  • To identify and validate hub anoikis-associated genes in cutaneous melanoma.
  • To construct a prognostic risk signature based on these identified genes.
  • To explore the association between these genes and immune cell infiltration in CM.

Main Methods:

  • Utilized The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases for gene expression analysis.
  • Employed Weighted Gene Co-expression Network Analysis (WGCNA), differential expression, and LASSO regression to identify hub genes.
  • Performed Kaplan-Meier, receiver operating characteristic, and immune cell infiltration analyses for validation and association studies.

Main Results:

  • Identified seven hub anoikis-associated genes: FASLG, SOD2, BST2, PIK3R2, IKZF3, CDK2, and RAC3.
  • Established that the expression patterns of these hub genes serve as significant prognostic factors for CM survival.
  • Demonstrated that the constructed risk signature is an independent prognostic factor associated with patient survival, age, and tumor growth.

Conclusions:

  • The identified hub genes (FASLG, SOD2, BST2, PIK3R2, IKZF3, CDK2, RAC3) form a novel anoikis-associated signature in CM.
  • This signature holds prognostic potential for predicting CM progression and overall patient survival.
  • Further research into these genes may lead to improved therapeutic strategies for cutaneous melanoma.

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