Background: Glioma is the most frequent type of malignancy that may damage the brain with high morbidity and mortality rates and patients' prognoses are still dismal. Ferroptosis, a newly uncovered mode of programmed cell death, may be triggered to destroy glioma cells. Nevertheless, the significance of ferroptosis-related genes (FRGs) in predicting prognosis in glioma individuals is still a mystery.

Methods: The CGGA (The Chinese Glioma Atlas), GEO (Gene Expression Omnibus), and TCGA (The Cancer Genome Atlas) databases were all searched to obtain the glioma expression dataset. First, TCGA was searched to identify differentially expressed genes (DEGs). This was followed by a machine learning algorithm-based screening of the glioma's most relevant genes. Additionally, these genes were subjected to Gene Ontology (GO) and KEGG (Kyoto Encyclopedia of Genes and Genomes) functional enrichment analyses. The chosen biological markers were then submitted to single-cell, immune function, and gene set enrichment analysis (GSEA). In addition, we performed functional enrichment and Mfuzz expression profile clustering on the most promising biological markers to delve deeper into their regulatory mechanisms and assess their clinical diagnostic capacities.

Results: We identified 4444 DEGs via differential analysis and 564 FRGs from the FerrDb database. The two were subjected to intersection analysis, which led to the discovery of 143 overlapping genes. After that, glioma biological markers were identified in fourteen genes by the use of machine learning methods. In terms of its use for clinical diagnosis, SMG9 stands out as the most significant among these biomarkers.

Conclusion: In light of these findings, the identification of SMG9 as a new biological marker has the potential to provide information on the mechanism of action and the effect of the immune milieu in glioma. The promise of SMG9 in glioma prognosis prediction warrants more study.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10878878PMC
http://dx.doi.org/10.1016/j.heliyon.2024.e25716DOI Listing

Publication Analysis

Top Keywords

biological markers
12
glioma
9
machine learning
8
functional enrichment
8
genes
7
smg9
4
smg9 novel
4
novel prognostic-related
4
prognostic-related biomarker
4
biomarker glioma
4

Similar Publications

Association between antinuclear antibodies status and preterm birth in Japanese pregnant women: a prospective cohort study from Adjunct Study of the Japan Environment and Children's Study.

BMC Pregnancy Childbirth

December 2024

Kumamoto University Regional Centre, The Japan Environment and Children's Study (JECS), 718, Medical Research Building, 1-1-1 Honjo, Chuo-ku, Kumamoto, Kumamoto, 860-8556, Japan.

Background: Antinuclear antibodies (ANA) are important biomarkers for the diagnosis of autoimmune diseases; however, the general population also tests positive at a low frequency, especially in women. Although the effects of various autoimmune diseases on pregnancy outcomes have been studied, the association of ANA with pregnancy outcomes in healthy individuals is unclear. Preterm birth (PTB), a major cause of neonatal death or long-term health problems, is a complex condition with a multifactorial etiology, and the underlying mechanism remains unclear.

View Article and Find Full Text PDF

CCL3 as a novel biomarker in the diagnosis of necrotizing enterocolitis.

BMC Pediatr

December 2024

Department of Clinical Laboratory, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Infection and Immunity, Children's Hospital of Chongqing Medical University, NO 136 Zhongshaner Road, Yuzhong Distrit, Chongqing, 400014, China.

Objectives: Neonatal necrotizing enterocolitis (NEC) is a common intestinal disease that threatens the lives of newborns and is characterized by ischemic necrosis of the small intestine and colon. As early diagnosis of NEC improves prognosis, the identification of new or complementary biomarkers is of great importance. In this study, we evaluate the diagnostic value of CCL3 in NEC and compare its effectiveness with other commonly used biomarkers, such as procalcitonin (PCT) and C-reactive protein (CRP).

View Article and Find Full Text PDF

Leveraging human microbiomes for disease prediction and treatment.

Trends Pharmacol Sci

December 2024

Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX, USA; Texas Children's Microbiome Center, Department of Pathology, Texas Children's Hospital, Houston, TX, USA. Electronic address:

The human microbiome consists of diverse microorganisms that inhabit various body sites. As these microbes are increasingly recognized as key determinants of health, there is significant interest in leveraging individual microbiome profiles for early disease detection, prevention, and drug efficacy prediction. However, the complexity of microbiome data, coupled with conflicting study outcomes, has hindered its integration into clinical practice.

View Article and Find Full Text PDF

Is isocaloric intermittent fasting superior to calorie restriction? A systematic review and meta-analysis of RCTs.

Nutr Metab Cardiovasc Dis

November 2024

Department of Nutrition and Health, College of Medicine and Health Sciences, United Arab Emirates University, P.O. Box 1555, Al Ain, United Arab Emirates. Electronic address:

Background And Aim: Intermittent fasting (IF) has been demonstrated to enhance human health through several mechanisms. However, it is still unclear whether those health benefits are independent of caloric restriction (CR)-induced weight loss. This systematic review and meta-analysis aimed to compare isocaloric IF and CR regarding anthropometric measurements, adherence, metabolic profile, inflammatory biomarkers, and adipokines in adults and elderlies.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!