# An MGRN1-Based Biomarker Combination Accurately Predicts Melanoma Patient Survival

## TL;DR

A new 4-gene biomarker combination improves survival prediction for melanoma patients beyond traditional staging methods.

## Contribution

A novel MGRN1-based 4-gene biomarker signature complements TNM staging for melanoma prognosis.

## Key findings

- The MGRN1-MLANA-PMEL-TYRP1 gene signature identifies low-medium TNM patients with poor outcomes.
- Tumors with this signature show dysregulation of inflammatory response and DNA repair pathways.
- MGRN1 knockout confirmed the gene signature's role in genomic instability and immune response.

## Abstract

With ever-increasing incidence and high metastatic potential, cutaneous melanoma is the deadliest skin cancer. Risk prediction based on the Tumor-Node-Metastasis (TNM) staging system has medium accuracy with intermediate IIB-IIIB stages, as roughly 25% of patients with low-medium-grade TNM, and hence a favorable prognostic, undergo an aggressive disease with short survival and around 15% of deaths arise from metastases of thin, low-risk lesions. Therefore, reliable prognostic biomarkers are required. We used genomic and clinical information of melanoma patients from the TCGA-SKCM cohort and two GEO studies for discovery and validation of potential biomarkers, respectively. Neither mutation nor overexpression of major melanoma driver genes provided significant prognostic information. Conversely, expression of MGRN1 and the melanocyte-specific genes MLANA, PMEL, and TYRP1 provided a simple 4-gene signature identifying with high-sensitivity (>80%), low-medium TNM patients with adverse outcomes. Transcriptomic analysis of tumors with this signature, or from low-medium-grade TNM patients with poor outcomes, revealed comparable dysregulation of an inflammatory response, cell cycle progression, and DNA damage/repair programs. A functional analysis of MGRN1-knockout cells confirmed these molecular features. Therefore, the simple MGRN1-MLANA-PMEL-TYRP1 combination of biomarkers complemented TNM staging prognostic accuracy and pointed to the dysregulation of immunological responses and genomic stability as determinants of a melanoma outcome.