Evidence map›Paper›PMID 31209714›Full record

ArticleMolecular diagnosis & therapy2019

Detection of Circulating Tumor DNA with a Single-Molecule Sequencing Analysis Validated for Targeted and Immunotherapy Selection.

Alexander Atkins, Pratyush Gupta, Bing Melody Zhang, Wen-Sy Tsai, Julian Lucas, Manana Javey, Anagh Vora, Rui Mei

Abstract read
In one paragraph

Article in Molecular diagnosis & therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

8 authors.

Alexander AtkinsCellMax Life U.S., 1271 Oakmead Parkway, Sunnyvale, CA, 94085, USA.
Pratyush GuptaCellMax Life U.S., 1271 Oakmead Parkway, Sunnyvale, CA, 94085, USA.
Bing Melody ZhangDepartment of Clinical Pathology, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, 94305, USA.
Wen-Sy TsaiChang Gung Memorial Hospital, #5, Fuxing Street, Guishan District, Taoyuan, 333, Taiwan.
Julian LucasCellMax Life U.S., 1271 Oakmead Parkway, Sunnyvale, CA, 94085, USA.
Manana JaveyCellMax Life U.S., 1271 Oakmead Parkway, Sunnyvale, CA, 94085, USA.
Anagh VoraCellMax Life U.S., 1271 Oakmead Parkway, Sunnyvale, CA, 94085, USA.
Rui MeiCellMax Life U.S., 1271 Oakmead Parkway, Sunnyvale, CA, 94085, USA. rui@cellmaxlife.com.ORCID 0000-0001-7903-2846

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionComprehensive genetic cancer profiling using circulating tumor DNA has enabled the detection of National Comprehensive Cancer Network (NCCN) guideline-recommended somatic alterations from a single, non-invasive blood draw. However, reliably detecting somatic variants at low variant allele fractions (VAFs) remains a challenge for next-generation sequencing (NGS)-based tests. We have developed the single-molecule sequencing (SMSEQ) platform to address these challenges.

methodsThe OncoLBx assay utilizes the SMSEQ platform to optimize cell-free DNA extraction and library preparation with variant type-specific calling algorithms to improve sensitivity and specificity. OncoLBx is a pan-cancer panel for solid tumors targeting 75 genes and five microsatellite sites analyzing five classes of NCCN-recommended somatic variants: single-nucleotide variants (SNVs), insertions and deletions (indels), copy number variants (CNVs), fusions and microsatellite instability (MSI). Circulating DNA was extracted from plasma, followed by library preparation using SMSEQ. Analytical validation was performed according to recently published American College of Medical Genetics and Genomics (ACMG)/Association for Molecular Pathology (AMP) guidelines and established the limit of detection (LOD), sensitivity, specificity, accuracy and reproducibility using 126 gold-standard reference samples, healthy donor samples verified by whole-exome sequencing by an external College of American Pathologists (CAP) reference lab and cell lines with known variants. Results were analyzed using a locus-specific modeling algorithm.

resultsWe have demonstrated that OncoLBx detects VAFs of ≥ 0.1% for SNVs and indels, ≥ 0.5% for fusions, ≥ 4.5 copies for CNVs and ≥ 2% for MSI, with all variant types having specificity ≥ 99.999%. Diagnostic performance of paired samples displays 80% sensitivity and > 99.999% clinical specificity. Clinical utility and performance were assessed in 416 solid tumor samples. Variants were detected in 79% of samples, for which 87.34% of positive samples had available targeted therapy.

Indexed as

Biomarkers, TumorCirculating Tumor DNAPolymorphism, Single NucleotideCell Line, TumorClinical Decision-MakingComputational BiologyDisease ManagementGenetic VariationGenomicsHumansMolecular Targeted TherapyNeoplasmsPrognosisReproducibility of ResultsBiomarkers, TumorCirculating Tumor DNA

Identifiers

PMID31209714
PMCPMC6675782

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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.