High-density single cell mRNA sequencing to characterize circulating tumor cells in hepatocellular carcinoma.
Delia D'AvolaCarlos Villacorta-MartinSebastiao N Martins-FilhoAmanda CraigIsmail LabgaaJohann von FeldenAllette KimaadaAntoinette BonaccorsoParissa TabrizianBoris M HartmannRobert SebraMyron SchwartzAugusto VillanuevaPublished in: Scientific reports (2018)
Patients with hepatocellular carcinoma (HCC) release tumor cells to the bloodstream, which can be detected using cell surface markers. Despite numerous reports suggest a direct correlation between the number of circulating tumor cells (CTCs) and poor clinical outcomes, few studies have provided a thorough molecular characterization of CTCs. Due to the limited access to tissue samples in patients at advanced stages of HCC, it is crucial to develop new technologies to identify HCC cancer drivers in routine clinical conditions. Here, we describe a method that sequentially combines image flow cytometry and high density single-cell mRNA sequencing to identify CTCs in HCC patients. Genome wide expression profiling of CTCs using this approach demonstrates CTC heterogeneity and helps detect known oncogenic drivers in HCC such as IGF2. This integrated approach provides a novel tool for biomarker development in HCC using liquid biopsy.
Keyphrases
- circulating tumor cells
- single cell
- high density
- rna seq
- genome wide
- flow cytometry
- circulating tumor
- high throughput
- cell surface
- end stage renal disease
- ejection fraction
- newly diagnosed
- binding protein
- transcription factor
- emergency department
- gene expression
- escherichia coli
- papillary thyroid
- squamous cell carcinoma
- peritoneal dialysis
- clinical practice
- multidrug resistant
- young adults
- ultrasound guided
- machine learning
- klebsiella pneumoniae
- fine needle aspiration