FER-1 like family member 4 pseudogene: novel potential diagnostic and prognostic biomarker for cutaneous melanoma

Cutaneous melanoma is the deadliest form of skin cancer. Despite advancements in treatment, many patients still face poor outcomes. A deeper understanding of the mechanisms involved in melanoma pathogenesis is crucial for improving diagnosis and therapy. Non-coding RNAs, with their extensive regulatory roles, show promise as diagnostic biomarkers. This study focuses on evaluating the <i>FER1L4</i> pseudogene and its potential role in melanoma. <i>FER1L4</i> expression was analyzed in normal melanocytes and melanoma cell lines using qRT-PCR. Additionally, TCGA data and online prediction tools were employed to correlate expression levels with clinicopathological features. The relationship between <i>FER1L4</i>, patient phenotypes, and immune responses was further explored using REACTOME, GSEA, and immune deconvolution analyses. <i>In vitro</i> analysis revealed significant upregulation of <i>FER1L4</i> in melanoma cells. Its expression levels were influenced by <i>BRAF</i> mutations and were markedly higher in metastatic compared to primary melanomas. Higher <i>FER1L4</i> expression was associated with improved patient survival. Furthermore, <i>miR-514a-5p</i>, <i>miR-330-5p</i>, and <i>miR-128-3p</i> were identified as interacting with <i>FER1L4</i>. Dysregulated genes involved in immune signaling pathways were also identified as potential miRNA targets. This is the first study to demonstrate the association of <i>FER1L4</i> with melanoma. Patients with elevated <i>FER1L4</i> levels exhibited distinct phenotypes, altered immunological profiles, and improved survival rates. These findings suggest that <i>FER1L4</i> could serve as a potential biomarker for melanoma.

Publication Details

Journal
PubMed
Published
2024-08-08
DOI
https://doi.org/10.17179/excli2024-7719
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

FER-1 like family member 4 pseudogene: novel potential diagnostic and prognostic biomarker for cutaneous melanoma

PubMed
Cutaneous Melanoma Detection and Management
article

FER-1 like family member 4 pseudogene: novel potential diagnostic and prognostic biomarker for cutaneous melanoma

article en

Abstract

Cutaneous melanoma is the deadliest form of skin cancer. Despite advancements in treatment, many patients still face poor outcomes. A deeper understanding of the mechanisms involved in melanoma pathogenesis is crucial for improving diagnosis and therapy. Non-coding RNAs, with their extensive regulatory roles, show promise as diagnostic biomarkers. This study focuses on evaluating the <i>FER1L4</i> pseudogene and its potential role in melanoma. <i>FER1L4</i> expression was analyzed in normal melanocytes and melanoma cell lines using qRT-PCR. Additionally, TCGA data and online prediction tools were employed to correlate expression levels with clinicopathological features. The relationship between <i>FER1L4</i>, patient phenotypes, and immune responses was further explored using REACTOME, GSEA, and immune deconvolution analyses. <i>In vitro</i> analysis revealed significant upregulation of <i>FER1L4</i> in melanoma cells. Its expression levels were influenced by <i>BRAF</i> mutations and were markedly higher in metastatic compared to primary melanomas. Higher <i>FER1L4</i> expression was associated with improved patient survival. Furthermore, <i>miR-514a-5p</i>, <i>miR-330-5p</i>, and <i>miR-128-3p</i> were identified as interacting with <i>FER1L4</i>. Dysregulated genes involved in immune signaling pathways were also identified as potential miRNA targets. This is the first study to demonstrate the association of <i>FER1L4</i> with melanoma. Patients with elevated <i>FER1L4</i> levels exhibited distinct phenotypes, altered immunological profiles, and improved survival rates. These findings suggest that <i>FER1L4</i> could serve as a potential biomarker for melanoma.

PubMedVol. 23
Uniwersytet Medyczny im. Karola Marcinkowskiego w Poznaniu
Openalex Percentile: Top 49%
Cutaneous Melanoma Detection and Management
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