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Development and validation of prognostic markers in sarcomas base on a multi-omics analysis
Yongchun Song1, Kui Yang2, Tuanhe Sun1
1Department of Oncology Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, 277 West Yanta Road, Xi'an, 710061, Shaanxi, China.
BMC Medical Genomics
|January 29, 2021
Summary
This study reveals four distinct molecular subtypes of sarcoma, with specific genes like ENO1, ACVRL1, and APBB1IP serving as key prognostic markers. These findings enhance understanding of sarcoma
Area of Science:
- Oncology
- Genomics
- Epigenetics
Background:
- Sarcomas exhibit genomic aberrations in DNA copy number and DNA methylation, with transcriptome imbalances driving disease progression.
- The relationship between DNA copy number abnormalities and epigenetic DNA methylation in sarcomas remains unclear, necessitating integrated genomic and epigenomic analysis.
Purpose of the Study:
- To comprehensively analyze sarcoma development by integrating genomic and epigenomic data.
- To identify molecular subtypes and key prognostic biomarkers for sarcoma.
- To elucidate the multilayered pathobiology of sarcomas through multiomics analysis.
Main Methods:
- Utilized RNA sequencing, copy number variation (CNV), and methylation data from TCGA and GEO databases.
- Analyzed the association between methylation and CNV to identify methylation-related genes (MET-Gs) and CNV abnormality-related genes (CNV-Gs).
- Integrated multiomics data to define molecular subtypes and their clinical/molecular characteristics, followed by biomarker validation.
Main Results:
- Identified 5354 CNV-Gs and 4042 MET-Gs with high consistency.
- Discovered four molecular subtypes (iC1-iC4) with distinct prognostic significance; iC2 showed the worst prognosis, while iC4 indicated an immune-enhancing state.
- Determined three prognostic markers: ENO1 (correlated with CNV, high in iC2), ACVRL1 and APBB1IP (negatively correlated with methylation, high in iC4).
Conclusions:
- This integrated genomic and epigenomic analysis provides novel insights into sarcoma pathobiology.
- The identified molecular subtypes and prognostic markers advance the understanding of sarcoma's molecular mechanisms.
- The study offers a foundation for improved diagnostic and therapeutic strategies in sarcoma treatment.
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