Objective: To apply an integrated omics analysis so as to discover potential biomarkers for an early diagnosis of osteosarcoma.
Methods: Gene chip and surface-enhanced laser desorption/ionization-time of flight-mass spectra (SELDI-TOF-MS) were employed to screen the marker genes and serum markers of osteosarcoma respectively. The associations of potential biomarkers from the SELDI data and microarray analysis were further inferred by Link-test to identify stable and specific diagnostic biomarkers.
Results: A total of 653 pre-biomarkers were found in osteosarcoma cells. And six differentially expressed protein peaks with strong statistical significances were detected by SELDI-TOF-MS in the patient's serum samples. Thirteen potential biomarkers for an early diagnosis of osteosarcoma were screened by Link-test.
Conclusion: As an effective method of identifying osteosarcoma biomarkers, the integrated omics analysis may serve as a monitoring platform for an early diagnosis of osteosarcoma.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Tuberculous meningitis diagnosis and treatment: classic approaches and high-throughput pathways.
Front Immunol
January 2025
Rehabilitation Medicine Department, The Affiliated Changsha Hospital of Xiangya School of Medicine, Central South University (The First Hospital of Changsha, Changsha, China.
Tuberculous meningitis (TBM), a severe form of non-purulent meningitis caused by (Mtb), is the most critical extrapulmonary tuberculosis (TB) manifestation, with a 30-40% mortality rate despite available treatment. The absence of distinctive clinical symptoms and effective diagnostic tools complicates early detection. Recent advancements in nucleic acid detection, genomics, metabolomics, and proteomics have led to novel diagnostic approaches, improving sensitivity and specificity.
View Article and Find Full Text PDFEditorial: Integrated multi-omic studies of metabolic syndrome, diabetes and insulin-related disorders: mechanisms, biomarkers, and therapeutic targets.
Front Endocrinol (Lausanne)
January 2025
Department of Health and Behavioral Sciences, Texas A&M University-San Antonio, San Antonio, TX, United States.
Integrative analysis of miRNA expression data reveals a minimal signature for tumour cells classification.
Comput Struct Biotechnol J
December 2024
Interdisciplinary Research Centre on Biomaterials (CRIB), Università degli Studi di Napoli "Federico II", Piazzale Tecchio 80, Naples 80125, Italy.
MicroRNAs (miRNAs) are pivotal biomarkers for cancer screening. Identifying distinctive expression patterns of miRNAs in specific cancer types can serve as an effective strategy for classification and characterization. However, the development of a minimal signature of miRNAs for accurate cancer classification remains challenging, hindered by the lack of integrated approaches that systematically analyse miRNA expression levels of miRNAs alongside their associated biological pathways.
View Article and Find Full Text PDFA comprehensive retrospect on the current perspectives and future prospects of pneumoconiosis.
Front Public Health
January 2025
Environmental Exposures Vascular Disease Institute, Shanxi Medical University, Taiyuan, Shanxi, China.
Pneumoconiosis is a widespread occupational pulmonary disease caused by inhalation and retention of dust particles in the lungs, is characterized by chronic pulmonary inflammation and progressive fibrosis, potentially leading to respiratory and/or heart failure. Workers exposed to dust, such as coal miners, foundry workers, and construction workers, are at risk of pneumoconiosis. This review synthesizes the international and national classifications, epidemiological characteristics, strategies for prevention, clinical manifestations, diagnosis, pathogenesis, and treatment of pneumoconiosis.
View Article and Find Full Text PDFMicrofluidics for morpholomics and spatial omics applications.
Lab Chip
January 2025
Mechanobiology Institute, National University of Singapore, Singapore, 117411 Singapore.
Creative designs, precise fluidic manipulation, and automation have supported the development of microfluidics for single-cell applications. Together with the advancements in detection technologies and artificial intelligence (AI), microfluidic-assisted platforms have been increasingly used for new modalities of single-cell investigations and in spatial omics applications. This review explores the use of microfluidic technologies for morpholomics and spatial omics with a focus on single-cell and tissue characterization.
View Article and Find Full Text PDFWant 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!