Simultaneous Single Cell Gene Expression and EGFR Mutation Analysis of Circulating Tumor Cells Reveals Distinct Phenotypes in NSCLC
Author(s) -
Owen Sarah,
Lo TingWen,
Fouladdel Shamileh,
Zeinali Mina,
Keller Evan,
Azizi Ebrahim,
Ramnath Nithya,
Nagrath Sunitha
Publication year - 2020
Publication title -
advanced biosystems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.153
H-Index - 18
ISSN - 2366-7478
DOI - 10.1002/adbi.202000110
Subject(s) - phenotype , mutation , gene , cancer research , biology , gene expression , cell , microbiology and biotechnology , genetics
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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom