Tryptophan Metabolism Gene Signature for Melanoma Prognosis and Immune Features

457 patients with skin cutaneous melanoma (SKCM) were analyzed for transcriptomic and clinical data by Lei Zhao. The study developed a five-gene risk model (HADHA, GOT2, STAT1, CAT, IDO1) to predict patient survival and immune status. The dataset was last updated on 2026-05-19 and is shared under a CC-BY-4.0 license.

Use Cases

• Predicting overall survival in melanoma patients based on the five-gene risk model.
• Analyzing immune cell infiltration and tumor microenvironment features associated with tryptophan metabolism.
• Investigating drug sensitivity differences between high- and low-risk patient groups for chemotherapeutic and targeted drugs.
• Studying the functional role of specific genes like IDO1 in melanoma cell proliferation and metabolism through in vitro validation.

Strengths

• Analysis is based on transcriptomic and clinical data from 457 SKCM patients.
• The prognostic model was validated in independent cohorts and adjusted for clinicopathological factors.
• Findings are supported by functional experiments in melanoma cell lines after IDO1 knockdown.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a 1.3 MB DOCX document, which may require extraction and formatting for analysis.

Provenance

Source

figshare

Collection Method

Analysis of transcriptomic and clinical data, likely from public repositories, combined with in vitro experiments.

Freshness

Last updated 2026-05-19 05:38:37; freshness should be verified.