Liquid Biopsy: Detection of Circulating Tumor Cells in Esophageal Squamous Cell Carcinoma

Lam, Alfred King‐Yin; Hamid, Faysal Bin; Gopalan, Vinod

doi:10.1007/978-1-0716-0377-2_15

Cited by 3 publications

(1 citation statement)

References 23 publications

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“…Total RNA from the single CTCs was extracted using the Single Cell Purification Kit (Ref. 51800, Norgen Biotek Corp, Thorold, ON, Canada) according to the manufacturer’s instructions [ 40 ]. In brief, a lysis buffer RL was immediately added to the freshly isolated single CTCs to prepare the cell lysate.…”

Section: Methodsmentioning

confidence: 99%

Genetic Heterogeneity of Single Circulating Tumour Cells in Colorectal Carcinoma

Hamid

Gopalan

Matos

et al. 2020

IJMS

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The aim of the present study was to isolate and investigate the genetic heterogeneities in single circulating tumour cells (CTCs) from patients with colorectal carcinoma (CRC). Twenty-eight single CTCs were collected from eight patients with CRC using a negative immunomagnetic enrichment method. After validation with glyceraldehyde 3-phosphate dehydrogenase (GAPDH) gene expression in 3 colon cancer cell lines, a panel of 19 genes were used to analyse the single CTCs (n = 28), primary colorectal carcinoma tissues (n = 8) and colon carcinoma cells (n = 6) using real-time qPCR. Genetic heterogeneities were assessed by comparing gene expression profiles of single CTCs from the different patients and in the same patient, respectively. Genetic profiling of the single CTCs showed extensive heterogeneities of the selected genes among the CTCs. Hierarchical clustering analyses exhibited two clusters of CTCs with differentially expressed genes, which highlighted different modifications from the primary carcinomas. Further, the genetic heterogeneities were observed between different patients or in the same patient. Finally, AKT1 expression was significantly (p = 0.0129) higher in single CTCs from CRC of advanced pathological stages (III or IV) CRC than in CTCs from CRC of early stages (I or II). Our findings suggest that single-cell genetic analysis can monitor the genetic heterogeneities and guide the personalised therapeutic targets in clinical sectors.

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Section: Methodsmentioning

confidence: 99%