| Literature DB >> 32700450 |
Sarah Owen1,2, Ting-Wen Lo1,2, Shamileh Fouladdel2,3, Mina Zeinali1,2, Evan Keller2,4,5,6, Ebrahim Azizi2,3, Nithya Ramnath3,4, Sunitha Nagrath1,2,4.
Abstract
While cancer cell populations are known to be highly heterogeneous within a tumor, the current gold standard of tumor profiling is through a tumor biopsy. These biopsies are invasive and prone to missing these clones due to spatial heterogeneity, and this bulk analysis approach can miss information from rare subpopulations. To noninvasively investigate tumor cell heterogeneity, a streamlined workflow is developed to scrutinize rare cells, such as circulating tumor cells (CTCs), for simultaneous analysis of mutations and gene expression profiles at the single cell level. This powerful workflow overcomes low-input limitations of single cell analysis techniques. The utility of this multiplexed workflow to unravel inter- and intra-patient heterogeneity is demonstrated using non-small-cell lung cancer (NSCLC) CTCs (n = 58) from six epidermal growth factor receptor (EGFR) mutant positive NSCLC patients. CTCs are isolated using a high-throughput microfluidic technology, the Labyrinth, and their EGFR mutation status and gene expression profiles are characterized.Entities:
Keywords: EGFR mutation; circulating tumor cells; digital PCR; non-small cell lung cancer; single cells
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Year: 2020 PMID: 32700450 PMCID: PMC7883301 DOI: 10.1002/adbi.202000110
Source DB: PubMed Journal: Adv Biosyst ISSN: 2366-7478