Cuproptosis subtypes and immune infiltration provide insights into prognosis of hepatocellular carcinoma

Announcing a new publication for Acta Materia Medica journal. The role of cuproptosis, a newly discovered form of programmed cell death, remains poorly understood in hepatocellular carcinoma (HCC). This study described by this article was aimed at constructing a novel cuproptosis model for analyzing the clinical features, mutation characteristics and immune profile of HCC associated with cuproptosis-related genes (CRG), and to analyze the prognostic value of CRGs in HCC. We comprehensively evaluated HCC datasets containing clinicopathological information from The Cancer Genome Atlas and GEO, on the basis of 19 CRGs. The prognostic value of the cuproptosis-related risk score was established.

The results revealed two clusters associated with cuproptosis. Cluster B exhibited pronounced isolated innate immune cell infiltration and poor prognosis, and significant differences in prognosis and immune infiltration were observed between the groups with high and low cuproptosis risk. High copper mortality risk scores were associated with an elevated tumor mutational burden (TMB) and poor prognosis. The findings suggest that evaluating copper-death subtypes provides insights into CRGs. Moreover, the copper mortality risk score model aids in characterizing prognosis and immune infiltration independently of the TMB.

Source:
Journal reference:

Li, J., et al. (2023) Prognostic value and immune infiltration analyses of cuproptosis-related genes in hepatocellular carcinoma. Acta Materia Medica. doi.org/10.15212/AMM-2023-0035.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Combining CYFRA 21-1 with CXCR1 and cxcr2 levels for predicting recurrence in stage III squamous cell lung carcinoma