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Clinical implications and molecular mechanism of long noncoding RNA LINC00518 and protein-coding genes in skin cutaneous melanoma by genome‑wide investigation

  • 0Department of Respiratory, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, 530000, People's Republic of China.
Archives of Dermatological Research +

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February 22, 2025

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February 22, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

This study identifies LINC00518 as a potential biomarker for skin cutaneous melanoma (SKCM). Its upregulation correlates with poor prognosis, while specific genes like TRAK2, EPM2A, and MITF show diagnostic value.

Area Of Science

  • Oncology
  • Genetics
  • Bioinformatics

Background

  • Skin cutaneous melanoma (SKCM) presents a significant global health challenge.
  • Long non-coding RNAs (lncRNAs) are increasingly recognized for their role in tumor prognosis.
  • Long intergenic non-protein coding (LINC) RNAs, specifically LINC00518, warrant investigation for their potential in SKCM.

Purpose Of The Study

  • To investigate the diagnostic and prognostic value of LINC00518 and its correlated protein-coding genes (PCGs) in SKCM.
  • To explore the molecular mechanisms and potential therapeutic targets associated with LINC00518 in SKCM.

Main Methods

  • Utilized gene expression data from The Cancer Genome Atlas (TCGA) and Oncomine, analyzing 458 SKCM cases.
  • Performed bioinformatic analyses to identify LINC00518 and 10 highly correlated PCGs for diagnostic and prognostic assessment.
  • Employed the Connectivity Map for pharmacological target prediction and drug selection.

Main Results

  • LINC00518, RASSF3, CABLES1, KAZN, EFCAB5, and MITF were significantly associated with SKCM prognosis (adjusted P < 0.05).
  • TRAK2, EPM2A, and MITF demonstrated significant diagnostic value (AUC > 0.7, P < 0.05).
  • LINC00518 was implicated in cell cycle, melanogenesis, MAPK signaling, cell division, and DNA repair pathways.

Conclusions

  • LINC00518 upregulation is linked to a poorer prognosis in SKCM.
  • TRAK2, EPM2A, MITF, RASSF3, CABLES1, KAZN, and EFCAB5 represent potential novel diagnostic and prognostic biomarkers for SKCM.
  • Identified eight potential therapeutic drugs targeting LINC00518 and associated genes.

Keywords:

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