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<p>Mitochondrial permeability transition (MPT)-driven necrosis is associated with kidney renal clear cell carcinoma (KIRC), but its role in prognosis remains unclear. This study develops a prognostic model for KIRC outcomes using MPT-driven necrosis-related genes (MPTDNRGs). Differentially expressed genes (DEGs) from TCGA-KIRC samples were analyzed and categorized based on MPTDNRGs scores. Three key genes—IL2RA, CD7, and CXCL13—were identified as significant prognostic markers and used to construct a risk model, validated through public datasets and reverse transcription-quantitative polymerase chain reaction (RT-qPCR). The risk score and age were the independent prognostic factors. A nomogram incorporating these factors demonstrated good clinical utility. The high-risk group was enriched in immune-related pathways, such as systemic lupus erythematosus, while the low-risk group showed enrichment in metabolism-related pathways, including butanoate metabolism. Significant differences in 25 immune cells were observed between the risk groups, with the high-risk group exhibiting higher TIDE scores, suggesting a greater likelihood of immune escape. Additionally, a ceRNA network revealed complex interactions, such as CXCL13-hsa-miR-670-5p-AL121985.1, and predicted 25 transcription factors for key MPTDNRGs. This study presents a novel prognostic model for KIRC based on three MPTDNRGs, offering valuable insights into KIRC prognosis and potential therapeutic targets.</p>

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Explore the key genes and prognosis related to mitochondrial permeability transition driving necrosis gene in kidney renal clear cell carcinoma

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月19日

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  • Yikai Wang,
  • Dingyang Lv,
  • Wei Zhang,
  • Weibing Shuang

摘要

Mitochondrial permeability transition (MPT)-driven necrosis is associated with kidney renal clear cell carcinoma (KIRC), but its role in prognosis remains unclear. This study develops a prognostic model for KIRC outcomes using MPT-driven necrosis-related genes (MPTDNRGs). Differentially expressed genes (DEGs) from TCGA-KIRC samples were analyzed and categorized based on MPTDNRGs scores. Three key genes—IL2RA, CD7, and CXCL13—were identified as significant prognostic markers and used to construct a risk model, validated through public datasets and reverse transcription-quantitative polymerase chain reaction (RT-qPCR). The risk score and age were the independent prognostic factors. A nomogram incorporating these factors demonstrated good clinical utility. The high-risk group was enriched in immune-related pathways, such as systemic lupus erythematosus, while the low-risk group showed enrichment in metabolism-related pathways, including butanoate metabolism. Significant differences in 25 immune cells were observed between the risk groups, with the high-risk group exhibiting higher TIDE scores, suggesting a greater likelihood of immune escape. Additionally, a ceRNA network revealed complex interactions, such as CXCL13-hsa-miR-670-5p-AL121985.1, and predicted 25 transcription factors for key MPTDNRGs. This study presents a novel prognostic model for KIRC based on three MPTDNRGs, offering valuable insights into KIRC prognosis and potential therapeutic targets.