Human Endogenous Retrovirus Expression Profiles in 330 Melanoma Patients

A PDF document presents human endogenous retrovirus (HERV) expression data for 330 patients with primary or metastatic cutaneous melanoma. The analysis, conducted by Tongyi Fei and published in 2026, used the Telescope software to characterize HERV loci from bulk RNA sequencing datasets to investigate relationships with immunotherapy responsiveness and metastasis.

Use Cases

• Identify HERV expression patterns, such as HERV-FRD, associated with immunotherapy non-responsiveness in metastatic melanoma cohorts.
• Cluster metastatic melanoma patients into three survival outcome subtypes based solely on their HERV expression profiles.
• Analyze differential HERV expression between primary and metastatic cutaneous melanoma tumor samples.
• Investigate the potential role of syncytin-2 precursor production linked to specific HERV loci in treatment outcomes.

Strengths

• Profiles HERV expression for a cohort of 330 melanoma patients.
• Focuses on a clinically relevant topic linking HERVs to immunotherapy responsiveness and metastasis.
• Analysis performed with a specific computational method, Telescope, for HERV locus expression calculation.

Limitations

• Data is presented in a static PDF report (6.1 MB), not in a structured, machine-readable tabular format.
• The underlying raw RNA-seq or expression matrix data is not directly available, limiting computational re-analysis.
• Sample size of 330 patients may limit power for detecting rare HERV expression associations.

Provenance

Source

figshare, author Tongyi Fei.

Collection Method

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

Time Range

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Freshness

Last updated March 2026.

Geography

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