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Integrative Multi-Omics Profiling of Rhabdomyosarcoma Subtypes Reveals Distinct Molecular Pathways and Biomarker
Aya Osama1, Ahmed Karam1, Abdelrahman Atef1
1Proteomics and Metabolomics Unit, Basic Research Department, Children's Cancer Hospital (CCHE-57357), Cairo 57357, Egypt.
This study reveals distinct molecular signatures for embryonal (ERMS) and alveolar (ARMS) rhabdomyosarcoma subtypes in children. These findings identify potential biomarkers and pathways for improved pediatric sarcoma diagnostics and targeted therapies.
Area of Science:
- Oncology
- Biochemistry
- Pediatric Medicine
Background:
- Rhabdomyosarcoma (RMS) is the most common pediatric soft tissue sarcoma.
- RMS has two main subtypes: embryonal (ERMS) and alveolar (ARMS), with differing clinical outcomes.
- Molecular distinctions between ERMS and ARMS are not fully understood.
Purpose of the Study:
- To characterize the molecular differences between ERMS and ARMS using plasma proteomics and metabolomics.
- To identify subtype-specific molecular signatures, pathways, and potential biomarkers in pediatric RMS.
- To correlate molecular findings with clinical parameters.
Main Methods:
- Untargeted plasma proteomics and metabolomics profiling in children with ERMS, ARMS, and healthy controls.
- Differential expression analysis, functional enrichment (GO, KEGG, RaMP-DB), and co-expression network analysis (WGCNA/WMCNA).
- Multi-omics integration using DIABLO and MOFA for subtype discrimination.
Main Results:
- ARMS showed elevated oncogenic/stemness proteins and metabolites related to lipid and polyamine metabolism.
- ERMS was enriched in immune/myogenic proteins and metabolites linked to glutamate/glycine metabolism and redox homeostasis.
- Subtype-specific pathway activation (PI3K-Akt/Hippo in ARMS; immune/coagulation in ERMS) and associations with clinical parameters were observed.
Conclusions:
- Distinct molecular signatures differentiate ERMS and ARMS, aligning with clinical observations.
- Novel subtype-specific molecular programs and coordinated protein-metabolite modules were uncovered.
- Findings propose candidate biomarkers and pathways for precision diagnostics and therapeutics in pediatric sarcomas.
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