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Workflow optimization of whole genome amplification and targeted panel sequencing for CTC mutation detection

Genomic characterization of circulating tumor cells (CTCs) may prove useful as a surrogate for conventional tissue biopsies. This is particularly important as studies have shown different mutational profiles between CTCs and ctDNA in some tumor subtypes. However, isolating rare CTCs from whole blood...

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Autores principales: Liu, Haiyan E., Triboulet, Melanie, Zia, Amin, Vuppalapaty, Meghah, Kidess-Sigal, Evelyn, Coller, John, Natu, Vanita S., Shokoohi, Vida, Che, James, Renier, Corinne, Chan, Natalie H., Hanft, Violet R., Jeffrey, Stefanie S., Sollier-Christen, Elodie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677973/
https://www.ncbi.nlm.nih.gov/pubmed/29263843
http://dx.doi.org/10.1038/s41525-017-0034-3
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author Liu, Haiyan E.
Triboulet, Melanie
Zia, Amin
Vuppalapaty, Meghah
Kidess-Sigal, Evelyn
Coller, John
Natu, Vanita S.
Shokoohi, Vida
Che, James
Renier, Corinne
Chan, Natalie H.
Hanft, Violet R.
Jeffrey, Stefanie S.
Sollier-Christen, Elodie
author_facet Liu, Haiyan E.
Triboulet, Melanie
Zia, Amin
Vuppalapaty, Meghah
Kidess-Sigal, Evelyn
Coller, John
Natu, Vanita S.
Shokoohi, Vida
Che, James
Renier, Corinne
Chan, Natalie H.
Hanft, Violet R.
Jeffrey, Stefanie S.
Sollier-Christen, Elodie
author_sort Liu, Haiyan E.
collection PubMed
description Genomic characterization of circulating tumor cells (CTCs) may prove useful as a surrogate for conventional tissue biopsies. This is particularly important as studies have shown different mutational profiles between CTCs and ctDNA in some tumor subtypes. However, isolating rare CTCs from whole blood has significant hurdles. Very limited DNA quantities often can’t meet NGS requirements without whole genome amplification (WGA). Moreover, white blood cells (WBC) germline contamination may confound CTC somatic mutation analyses. Thus, a good CTC enrichment platform with an efficient WGA and NGS workflow are needed. Here, Vortex label-free CTC enrichment platform was used to capture CTCs. DNA extraction was optimized, WGA evaluated and targeted NGS tested. We used metastatic colorectal cancer (CRC) as the clinical target, HCT116 as the corresponding cell line, GenomePlex® and REPLI-g as the WGA methods, GeneRead DNAseq Human CRC Panel as the 38 gene panel. The workflow was further validated on metastatic CRC patient samples, assaying both tumor and CTCs. WBCs from the same patients were included to eliminate germline contaminations. The described workflow performed well on samples with sufficient DNA, but showed bias for rare cells with limited DNA input. REPLI-g provided an unbiased amplification on fresh rare cells, enabling an accurate variant calling using the targeted NGS. Somatic variants were detected in patient CTCs and not found in age matched healthy donors. This demonstrates the feasibility of a simple workflow for clinically relevant monitoring of tumor genetics in real time and over the course of a patient’s therapy using CTCs.
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spelling pubmed-56779732017-12-20 Workflow optimization of whole genome amplification and targeted panel sequencing for CTC mutation detection Liu, Haiyan E. Triboulet, Melanie Zia, Amin Vuppalapaty, Meghah Kidess-Sigal, Evelyn Coller, John Natu, Vanita S. Shokoohi, Vida Che, James Renier, Corinne Chan, Natalie H. Hanft, Violet R. Jeffrey, Stefanie S. Sollier-Christen, Elodie NPJ Genom Med Article Genomic characterization of circulating tumor cells (CTCs) may prove useful as a surrogate for conventional tissue biopsies. This is particularly important as studies have shown different mutational profiles between CTCs and ctDNA in some tumor subtypes. However, isolating rare CTCs from whole blood has significant hurdles. Very limited DNA quantities often can’t meet NGS requirements without whole genome amplification (WGA). Moreover, white blood cells (WBC) germline contamination may confound CTC somatic mutation analyses. Thus, a good CTC enrichment platform with an efficient WGA and NGS workflow are needed. Here, Vortex label-free CTC enrichment platform was used to capture CTCs. DNA extraction was optimized, WGA evaluated and targeted NGS tested. We used metastatic colorectal cancer (CRC) as the clinical target, HCT116 as the corresponding cell line, GenomePlex® and REPLI-g as the WGA methods, GeneRead DNAseq Human CRC Panel as the 38 gene panel. The workflow was further validated on metastatic CRC patient samples, assaying both tumor and CTCs. WBCs from the same patients were included to eliminate germline contaminations. The described workflow performed well on samples with sufficient DNA, but showed bias for rare cells with limited DNA input. REPLI-g provided an unbiased amplification on fresh rare cells, enabling an accurate variant calling using the targeted NGS. Somatic variants were detected in patient CTCs and not found in age matched healthy donors. This demonstrates the feasibility of a simple workflow for clinically relevant monitoring of tumor genetics in real time and over the course of a patient’s therapy using CTCs. Nature Publishing Group UK 2017-11-01 /pmc/articles/PMC5677973/ /pubmed/29263843 http://dx.doi.org/10.1038/s41525-017-0034-3 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Liu, Haiyan E.
Triboulet, Melanie
Zia, Amin
Vuppalapaty, Meghah
Kidess-Sigal, Evelyn
Coller, John
Natu, Vanita S.
Shokoohi, Vida
Che, James
Renier, Corinne
Chan, Natalie H.
Hanft, Violet R.
Jeffrey, Stefanie S.
Sollier-Christen, Elodie
Workflow optimization of whole genome amplification and targeted panel sequencing for CTC mutation detection
title Workflow optimization of whole genome amplification and targeted panel sequencing for CTC mutation detection
title_full Workflow optimization of whole genome amplification and targeted panel sequencing for CTC mutation detection
title_fullStr Workflow optimization of whole genome amplification and targeted panel sequencing for CTC mutation detection
title_full_unstemmed Workflow optimization of whole genome amplification and targeted panel sequencing for CTC mutation detection
title_short Workflow optimization of whole genome amplification and targeted panel sequencing for CTC mutation detection
title_sort workflow optimization of whole genome amplification and targeted panel sequencing for ctc mutation detection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677973/
https://www.ncbi.nlm.nih.gov/pubmed/29263843
http://dx.doi.org/10.1038/s41525-017-0034-3
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