PO.CL01.23 · 临床研究

Exploring gene mutations of circulating tumor cells by Oxford nanopore adaptive sequencing implemented with a newly developed bioinformatic pipeline

编号 3772 展板 16 时间 4/20 02:00–05:00 区域 Section 42 主讲 Ching-Ping Tseng
分会场 Circulating Tumor Cells, Metastasis, and Dissemination Biology 2
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作者与单位

Ta-Hsien Lee1, Jin-Ru Wang2, Shiuan-Ru Hou2, Ju-Chien Cheng3, Ching-Ping Tseng2

1Department of Clinical Laboratory, Tri-Service General Hospital Penghu Branch, Penghu, Taiwan,2Department of Medical Biotechnology and Laboratory Science, Chang Gung University, Taoyuan, Taiwan,3Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung, Taiwan

摘要 Abstract

Circulating tumor cells (CTCs) represent an important and easily accessible biological material for monitoring treatment response and early detection of patients with cancer. In this study, we aimed to develop a precision workflow combining immunomagnetic bead- and negative selection-based enrichment of CTCs with the Nanopore adaptive sequencing technology to detect mutations in cancer-relevant genomic regions and to understand the intrinsic properties of CTCs. PowerMag system which we developed in our previous studies was used to deplete leukocytes and enrich CTCs from blood sample followed by whole genome amplification. The amplified DNA was subject to Nanopore adaptive sequencing using the Oxford Nanopore GridIon device and the BED file to define 76 common cancer gene mutation target regions. A bioinformatic analytical platform was also developed in-house for efficient extraction of high-confidence reads. The confidence for the presence of mutated nucleotides was determined by implementing a logistic calculation based on the quality score of the indicated nucleotides. The workflow has been validated by using human peripheral blood leukocytes as the biological source of DNA. In addition, preliminary analysis of OECM-1 oral cancer cells spiked into human peripheral blood also reveals that CTCs enrichment followed by adaptive sequencing and the use of analytical tools developed in-house are applicable to identify cancer-associated gene mutation even with a few numbers of reads spanning the gene mutation regions. Taken together, the combined platform represents a new tool for real-time, cost-effective genomic profiling of rare CTCs, with potential applications in the clinical management of cancer patients.
利益披露 Disclosure
T. Lee, None.. J. Wang, None.. S. Hou, None.. J. Cheng, None.. C. Tseng, None.

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