Shallow Whole-Genome Sequencing of Cell-Free DNA (cfDNA) Detects Epithelial Ovarian Cancer and Predicts Patient Prognosis.
Seong Eun BakHanwool KimJung Yoon HoEun-Hae ChoJunnam LeeSung Min YounSeong-Woo ParkMi-Ryung HanSoo Young HurSung-Jong LeeYoun Jin ChoiPublished in: Cancers (2023)
Despite the progress in diagnostics and therapeutics, epithelial ovarian cancer (EOC) remains a fatal disease. Using shallow whole-genome sequencing of plasma cell-free DNA (cfDNA), we investigated biomarkers that could detect EOC and predict survival. Plasma cfDNA from 40 EOC patients and 20 healthy subjects were analyzed by shallow whole-genome sequencing (WGS) to identify copy number variations (CNVs) and determine the Z-scores of genes. In addition, we also calculated the genome-wide scores (Gi scores) to quantify chromosomal instability. We found that the Gi scores could distinguish EOC patients from healthy subjects and identify various EOC histological subtypes (e.g., high-grade serous carcinoma). In addition, we characterized EOC CNVs and demonstrated a relationship between RAB25 amplification (alone or with CA125), and disease-free survival and overall survival. This study identified RAB25 amplification as a predictor of EOC patient survival. Moreover, we showed that Gi scores could detect EOC. These data demonstrated that cfDNA, detected by shallow WGS, represented a potential tool for diagnosing EOC and predicting its prognosis.
Keyphrases
- free survival
- genome wide
- copy number
- high grade
- end stage renal disease
- ejection fraction
- chronic kidney disease
- newly diagnosed
- mitochondrial dna
- dna methylation
- prognostic factors
- case report
- gene expression
- low grade
- patient reported
- small molecule
- mass spectrometry
- electronic health record
- deep learning
- genome wide identification