Limited genomic heterogeneity of circulating melanoma cells in advanced stage patients

Ruiz, C., Li, J., Luttgen, M. S., Kolatkar, A., Kendall, J. T., Flores, E., Topp, Z., Samlowski, W. E., McClay, E., Bethel, K., Ferrone, S., Hicks, J., Kuhn, P. (February 2015) Limited genomic heterogeneity of circulating melanoma cells in advanced stage patients. Physical biology, 12 (1). 016008. ISSN 1478-3967

DOI: 10.1088/1478-3975/12/1/016008


Purpose. Circulating melanoma cells (CMCs) constitute a potentially important representation of time-resolved tumor biology in patients. To date, genomic characterization of CMCs has been limited due to the lack of a robust methodology capable of identifying them in a format suitable for downstream characterization. Here, we have developed a methodology to detect intact CMCs that enables phenotypic, morphometric and genomic analysis at the single cell level. Experimental design. Blood samples from 40 metastatic melanoma patients and 10 normal blood donors were prospectively collected. A panel of 7 chondroitin sulfate proteoglycan 4 (CSPG4)-specific monoclonal antibodies (mAbs) was used to immunocytochemically label CMCs. Detection was performed by automated digital fluorescence microscopy and multi-parametric computational analysis. Individual CMCs were captured by micromanipulation for whole genome amplification and copy number variation (CNV) analysis. Results. Based on CSPG4 expression and nuclear size, 1-250 CMCs were detected in 22 (55%) of 40 metastatic melanoma patients (0.5-371.5 CMCs ml(-1)). Morphometric analysis revealed that CMCs have a broad spectrum of morphologies and sizes but exhibit a relatively homogeneous nuclear size that was on average 1.5-fold larger than that of surrounding PBMCs. CNV analysis of single CMCs identified deletions of CDKN2A and PTEN, and amplification(s) of TERT, BRAF, KRAS and MDM2. Furthermore, novel chromosomal amplifications in chr12, 17 and 19 were also found. Conclusions. Our findings show that CSPG4 expressing CMCs can be found in the majority of advanced melanoma patients. High content analysis of this cell population may contribute to the design of effective personalized therapies in patients with melanoma.

Item Type: Paper
Subjects: bioinformatics
bioinformatics > genomics and proteomics
diseases & disorders > cancer > cancer types > melanomas
CSHL Authors:
Communities: CSHL Cancer Center Program > Cancer Genetics
CSHL labs > Hicks lab
CSHL labs > Wigler lab
Depositing User: Matt Covey
Date: 1 February 2015
Date Deposited: 13 Mar 2015 19:14
Last Modified: 16 Jul 2021 13:14
PMCID: PMC5023009
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