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Molecular subtypes based on cuproptosis regulators and immune infiltration in kidney renal clear cell carcinoma
Aibin Liu1, Yanyan Li2, Lin Shen3
1Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China.
Abstract:
Copper toxicity involves the destruction of mitochondrial metabolic enzymes, triggering an unusual mechanism of cell death called cuproptosis, which proposes a novel approach using copper toxicity to treat cancer. However, the biological function of cuproptosis has not been fully elucidated in kidney renal clear cell carcinoma (KIRC). Using the expression profile of 13 cuproptosis regulators, we first identified two molecular subtypes related to cuproptosis defined as "hot tumor" and "cold tumor", having different levels of biological function, clinical prognosis, and immune cell infiltration. We obtained three gene clusters using the differentially expressed genes between the two cuproptosis-related subtypes, which were associated with different molecular activities and clinical characteristics. Next, we developed and validated a cuproptosis prognostic model that included two genes (FDX1 and DBT). The calculated risk score could divide patients into high- and low-risk groups. The high-risk group had a poorer prognosis, lower level of immune infiltration, higher frequency of gene alterations, and greater levels of FDX1 methylation and limited DBT methylation. The risk score was also an independent predictive factor for overall survival in KIRC. The established nomogram calculating the risk score achieved a high predictive ability for the prognosis of individual patients (area under the curve: 0.860). We then identified small molecular inhibitors as potential treatments and analyzed the sensitivity to chemotherapy of the signature genes. Tumor immune dysfunction and exclusion (TIDE) showed that the high-risk group had a higher level of TIDE, exclusion and dysfunction that was lower than the low-risk group, while the microsatellite instability of the high-risk group was significantly lower. The results of two independent immunotherapy datasets indicated that cuproptosis regulators could influence the response and efficacy of immunotherapy in KIRC. Our study provides new insights for individualized and comprehensive therapy of KIRC.
Insights
This study explores cuproptosis, a cell death mechanism linked to copper toxicity, in kidney cancer. It identifies subtypes and develops a prognostic model to predict patient outcomes and guide immunotherapy strategies.
Area of Science:
- Oncology
- Molecular Biology
- Biochemistry
Background:
- Copper toxicity induces cuproptosis, a novel cell death pathway with potential anti-cancer applications.
- The role of cuproptosis in kidney renal clear cell carcinoma (KIRC) remains largely unexplored.
Purpose of the Study:
- To investigate the biological function and clinical implications of cuproptosis in KIRC.
- To identify molecular subtypes, develop a prognostic model, and explore therapeutic strategies based on cuproptosis regulators.
Main Methods:
- Analysis of 13 cuproptosis regulators' expression profiles in KIRC.
- Identification of molecular subtypes, gene clusters, and development of a prognostic model (FDX1, DBT).
- Evaluation of immune infiltration, gene alterations, methylation status, and treatment sensitivity (chemotherapy, immunotherapy).
Main Results:
- Two cuproptosis-related subtypes ('hot' and 'cold' tumors) with distinct prognoses and immune infiltration were identified.
- A prognostic model based on FDX1 and DBT accurately predicted KIRC patient survival and identified high-risk groups with poorer outcomes.
- High-risk patients exhibited altered immune profiles, microsatellite instability, and potential therapeutic vulnerabilities, influencing immunotherapy response.
Conclusions:
- Cuproptosis plays a significant role in KIRC, defining distinct molecular subtypes and prognostic trajectories.
- The developed prognostic model offers insights for individualized KIRC treatment strategies.
- Cuproptosis regulators are potential biomarkers for predicting immunotherapy response in KIRC patients.
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