Exploring copper metabolism-induced cell death in gastric cancer: a single-cell RNA sequencing study and prognostic model development

Sixteen cell clusters and nine distinct cell types were identified, with T cells showing significant roles in cell communication. The NMF analysis of CD8 +T cells revealed five copper metabolism-related subtypes. The prognostic model based on nine CMRGs indicated significant survival differences between high- and low-risk groups. High-risk patients showed shorter survival times, increased immune cell infiltration, and altered immune responses. Drug sensitivity analysis suggested higher efficacy of certain drugs in high-CMRG patients.

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Publication Details

Journal
Discover Oncology
Published
2024-09-27
DOI
https://doi.org/10.1007/s12672-024-01374-6
Citations
3
Primary Topic
Trace Elements in Health
Type
article
Field-Weighted Citation Impact
0.93
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article

Exploring copper metabolism-induced cell death in gastric cancer: a single-cell RNA sequencing study and prognostic model development

Zhi‐Bin Luo, Yi Chen, Lang Huang, Yunmei Liao
3 citations
Discover Oncology
Trace Elements in Health
0.93
article

Exploring copper metabolism-induced cell death in gastric cancer: a single-cell RNA sequencing study and prognostic model development

Zhi‐Bin Luo, Yi Chen, Lang Huang, Yunmei Liao
article en
3 citations

Abstract

Sixteen cell clusters and nine distinct cell types were identified, with T cells showing significant roles in cell communication. The NMF analysis of CD8 +T cells revealed five copper metabolism-related subtypes. The prognostic model based on nine CMRGs indicated significant survival differences between high- and low-risk groups. High-risk patients showed shorter survival times, increased immune cell infiltration, and altered immune responses. Drug sensitivity analysis suggested higher efficacy of certain drugs in high-CMRG patients.

Discover OncologyVol. 15(1)
Chongqing University (CN), First People's Hospital of Chongqing (CN)
Good health and well-being
Openalex Percentile: Top 27%
Trace Elements in Health
0.93
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