Human Endogenous Retrovirus Expression Profiles in Cutaneous Melanoma

HERV expression data characterizes 330 patients with primary or metastatic cutaneous melanoma. The dataset profiles relationships between HERV expression, metastasis, and immune checkpoint inhibitor responsiveness, identifying distinct survival subtypes.

Use Cases

• Classify metastatic melanoma subtypes based on HERV expression profiles to predict survival outcomes.
• Identify differentially expressed HERV loci, such as HERV-FRD, associated with treatment non-responders.
• Analyze correlations between HERV expression patterns and patient response to immune checkpoint inhibitors.
• Investigate the potential role of syncytin-2 precursor production in melanoma metastasis using HERV-FRD data.

Strengths

• Profiles a cohort of 330 patients with cutaneous melanoma.
• Data derived from bulk RNA sequencing analyzed with the Telescope computational software package.
• Explicitly links HERV expression to clinical outcomes like metastasis and immunotherapy response.

Limitations

• The dataset is very small at 17.5 KB, indicating limited scope and likely summary-level data.
• Specific column names, row counts, and sample data are unavailable, limiting detailed analytical exploration.
• Findings are exploratory, as noted by the authors, requiring further study for clinical validation.

Provenance

Source

figshare, author Tongyi Fei.

Collection Method

HERV expression characterized from bulk RNA sequencing datasets using the Telescope software package.

Time Range

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Freshness

Last updated March 2026.

Geography

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