Evidence map›Paper›PMID 29263843›Full record

ArticleNPJ genomic medicine2017

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

Haiyan E Liu, Melanie Triboulet, Amin Zia, Meghah Vuppalapaty, Evelyn Kidess-Sigal, John Coller, Vanita S Natu, Vida Shokoohi, James Che, Corinne Renier and 4 more

Abstract read
In one paragraph

Article in NPJ genomic medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

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  20. Cell Separations and Sorting.Analytical chemistry · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Haiyan E LiuVortex Biosciences, Inc., Menlo Park, CA USA.
Melanie TribouletDepartment of Surgery, Stanford University School of Medicine, Stanford, CA USA.
Amin ZiaStanford Center for Genomics and Personalized Medicine, Stanford University, Stanford, CA USA.
Meghah VuppalapatyVortex Biosciences, Inc., Menlo Park, CA USA.
Evelyn Kidess-SigalDepartment of Surgery, Stanford University School of Medicine, Stanford, CA USA.
John CollerStanford Functional Genomics Facility, Stanford University, Stanford, CA USA.
Vanita S NatuStanford Functional Genomics Facility, Stanford University, Stanford, CA USA.
Vida ShokoohiStanford Functional Genomics Facility, Stanford University, Stanford, CA USA.
James CheVortex Biosciences, Inc., Menlo Park, CA USA.
Corinne RenierVortex Biosciences, Inc., Menlo Park, CA USA.
Natalie H ChanDepartment of Surgery, Stanford University School of Medicine, Stanford, CA USA.
Violet R HanftDepartment of Surgery, Stanford University School of Medicine, Stanford, CA USA.
Stefanie S Jeffrey *Department of Surgery, Stanford University School of Medicine, Stanford, CA USA.ORCID 0000-0003-4478-2764
Elodie Sollier-Christen *Vortex Biosciences, Inc., Menlo Park, CA USA.

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Vittorio Sebastiano · 2007 to 2026
$71.4M
NCI NIH HHS P30 CA124435
6 · The paper itself

Abstract

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.

Identifiers

PMID29263843
PMCPMC5677973

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.