Decoding the diagnostic biomarkers of mitochondrial dysfunction related gene variants in pediatric T cell acute lymphoblastic leukemia.

Journal: Scientific reports
Published Date:

Abstract

Mitochondrial dysfunction is crucial in the pathogenesis and drug resistance of pediatric T-cell acute lymphoblastic leukemia (T-ALL), a malignant hematological disorder with unrestrained proliferation of immature T-cells. Therefore, the primary objective of this study is to elucidate the role of mitochondrial dysfunction-related differentially expressed genes (MDRDEGs) in pediatric T-ALL and to establish a diagnostic model based on the MDRDEGs. We obtained datasets from GEO on pediatric T-ALL patients and healthy controls. A comprehensive list of 843 mitochondrial dysfunction-related genes (MDRGs) was compiled from GeneCards database and PubMed literature. Subsequently, we identified significant MDRDEGs, also, performed functional enrichment and analysis immune infiltration analysis. Additionally, A mitochondrial dysfunction-based signature was created to predict pediatric T-ALL. The mRNA-miRNA and mRNA-TF Regulatory Network were constructed, and the molecular distributions of key genes were calculated. There were 8029 differentially expressed genes (DEGs) in pediatric T-ALL compared to controls. Intersecting these DEGs with MDRGs yielded 284 MDRDEGs. Enrichment analyses revealed that these MDRDEGs were involved in oxidative stress response, cellular respiration, mitochondrial inner membrane composition, and protein complexes. GSEA and GSVA highlighted significant enrichment in NF-κB and JAK-STAT pathways. The intersection of LASSO regression and RF algorithms highlighted two pivotal genes: RNLS and ULK1. Validation dataset demonstrated our diagnostic model's high accuracy. In conclusion, this study systematically investigated MDRDEGs' roles in pediatric T-ALL and constructed an effective diagnostic model. The findings provided new potential biomarkers for early diagnosis and therapeutic targets for pediatric T-ALL, offering promising directions for future research.

Authors

  • Yunfeng Lu
    Department of Pediatric Hematology and Oncology, Shandong Provincial Hospital affiliated to Shandong First Medical University, 324 Jing Wu Road, Jinan, 250021, China. ludoctorlu@163.com.
  • Xi Yang
    Department of Health Outcomes and Biomedical Informatics.
  • Liying Liu
    Graduate School, Guangxi Medical University, Nanning, China.
  • Xiaojun Sun
    College of Automation Engineering, Northeast Electric Power University, Jilin, China.
  • Xiuli Li
    Department of Obstetrics and Gynecology, General Hospital of Chinese People's Liberation Army, Beijing 100853, China.
  • Ping Zhao
    Department of Information, Research Institute of Field Surgery, Daping Hospital of Army Medical University, 10 Changjiang Access Road, Chongqing, 400042, China.
  • Guotao Guan
    Department of Pediatric Hematology and Oncology, Shandong Provincial Hospital affiliated to Shandong First Medical University, 324 Jing Wu Road, Jinan, 250021, China.
  • Yunpeng Dai
    Department of Pediatric Hematology and Oncology, Shandong Provincial Hospital affiliated to Shandong First Medical University, 324 Jing Wu Road, Jinan, 250021, China. yunpengdai@126.com.