Evidence map›Paper›PMID 34775030›Full record

ArticleThe Journal of molecular diagnostics : JMD2022

Ultrasensitive Quantitation of Genomic Chimerism by Single-Molecule Molecular Inversion Probe Capture and High-Throughput Sequencing of Copy Number Deletion Polymorphisms.

David Wu, Sami B Kanaan, Kelsi Penewit, Adam Waalkes, Francesca Urselli, J Lee Nelson, Jerald Radich, Stephen J Salipante

Open access · greenAbstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 28% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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 at 2 institutions in 1 country.

David WuDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington; Brotman Baty Institute for Precision Medicine, Seattle, Washington.
Sami B KanaanClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington; Chimerocyte, Inc., Seattle, Washington.
Kelsi PenewitDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington.
Adam WaalkesDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington.
Francesca UrselliClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
J Lee NelsonClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington; Chimerocyte, Inc., Seattle, Washington; Department of Medicine, University of Washington, Seattle, Washington.
Jerald RadichClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Stephen J SalipanteDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington; Brotman Baty Institute for Precision Medicine, Seattle, Washington. Electronic address: stevesal@uw.edu.
University of Washington · USFred Hutch Cancer Center · US

Funding

Highly Sensitive Chimerism Testing to Detect Early Leukemia Relapse Post-Allo-TransplantationR41CA232805 · NCI · CHIMEROCYTE, INC. · PI KANAAN, SAMI BARNA · 2018 to 2019
$300k
NCI NIH HHS R41 CA232805
6 · The paper itself

Abstract

Genomic chimerism represents co-existing cells with different genotypes and has diagnostic significance in transplant engraftment monitoring, residual cancer detection, and other contexts. We previously described an approach to chimerism detection by interrogating variably present or absent genomic loci using single-molecule molecular inversion probes (smMIPs) and next-generation sequencing, which provided ultrasensitive limits of detection (<1 in 10,000 cells) but was not reliably quantitative. Herein, smMIP testing was modified to accurately quantitate chimeric cells by incorporating copy number neutral control loci for data normalization and computationally modeling cell mixtures from individual-specific genotypes. Data demonstrate precision and accuracy over three orders of magnitude (0.01% to 50% chimerism). Seventy hematopoietic stem cell transplant specimens from single (n = 42) or double (n = 28) donors were evaluated, benchmarking smMIP against conventional variable number tandem repeat (VNTR) analysis and an unrelated, ultrasensitive polymorphism-specific quantitative PCR (PS-qPCR) assay. Quantitative concordance of all three assays was high (P < 0.0005, Pearson correlation coefficient), although smMIP correlated better with VNTR testing than PS-qPCR. smMIP and PS-qPCR collectively identified low-level chimerism in all specimens testing negative by VNTR (n = 41 and n = 45 of 48 specimens, respectively). This work demonstrates the feasibility of smMIP-based chimerism testing for quantitative and ultrasensitive measurement of genomic chimerism at practical levels approaching one in one million cells, and cross-validates the approach.

Indexed as

ChimerismHematopoietic Stem Cell TransplantationDNA Copy Number VariationsGenomicsGenotypeHigh-Throughput Nucleotide SequencingHumans

Identifiers

PMID34775030
PMCPMC8819186
OpenAlexW3211747273

What OpenQuestion holds

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Registered trials

None linked

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.