Evidence map›Paper›PMID 35774119›Full record

ArticleFrontiers in oncology2022

Reliability of Cell-Free DNA and Targeted NGS in Predicting Chromosomal Abnormalities of Patients With Myeloid Neoplasms.

Andrew Ip, Alexandra Della Pia, Gee Youn Geeny Kim, Jason Lofters, James Behrmann, Dylon Patel, Simone Kats, Jeffrey Justin Estella, Ivan De Dios, Wanlong Ma and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. 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
0.8field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Phase I Study of GS-3583, an FMS-like Tyrosine Kinase 3 Agonist Fc Fusion Protein, in Patients with Advanced Solid Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  4. Article
  5. Review
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

15 authors at 5 institutions in 1 country.

Andrew IpHackensack University Medical Center, Oncology, Hackensack, NJ, United States.
Alexandra Della PiaHackensack University Medical Center, Oncology, Hackensack, NJ, United States.
Gee Youn Geeny KimHackensack University Medical Center, Oncology, Hackensack, NJ, United States.
Jason LoftersEnglewood Health Internal Medicine Residency Program, Englewood, NJ, United States.
James BehrmannHackensack Meridian School of Medicine, Oncology, Nutley, NJ, United States.
Dylon PatelHackensack Meridian School of Medicine, Oncology, Nutley, NJ, United States.
Simone KatsErnest Mario School of Pharmacy at Rutgers University, Department of Pharmacy Practice and Administration, Piscataway, NJ, United States.
Jeffrey Justin EstellaGenomic Testing Cooperative, Hematology, Irvine, CA, United States.
Ivan De DiosGenomic Testing Cooperative, Hematology, Irvine, CA, United States.
Wanlong MaGenomic Testing Cooperative, Hematology, Irvine, CA, United States.
Andrew L PecoraHackensack University Medical Center, Oncology, Hackensack, NJ, United States.
Andre H GoyHackensack University Medical Center, Oncology, Hackensack, NJ, United States.
Jamie KoprivnikarHackensack University Medical Center, Oncology, Hackensack, NJ, United States.
James K McCloskeyHackensack University Medical Center, Oncology, Hackensack, NJ, United States.
Maher AlbitarGenomic Testing Cooperative, Hematology, Irvine, CA, United States.
Hackensack University Medical Center · USCenter for Discovery · USGenomic Health (United States) · USEnglewood Hospital and Medical Center · USRutgers, The State University of New Jersey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cytogenetic analysis is important for stratifying patients with various neoplasms. We explored the use of targeted next generation sequencing (NGS) in detecting chromosomal structural abnormalities or copy number variations (CNVs) in patients with myeloid neoplasms. Methods: Plasma cell-free DNA (cfDNA) from 2821 myeloid or lymphoid neoplasm patients were collected. cfDNA was sequenced using a 275 gene panel. CNVkit software was used for analyzing and visualizing CNVs. Cytogenetic data from corresponding bone marrow (BM) samples was available on 89 myeloid samples. Results: Of the 2821 samples, 1539 (54.5%) showed evidence of mutations consistent with the presence of neoplastic clones in circulation. Of these 1539 samples, 906 (59%) showed abnormalities associated with myeloid neoplasms and 633 (41%) with lymphoid neoplasms. Chromosomal structural abnormalities in cfDNA were detected in 146 (16%) myeloid samples and 76 (12%) lymphoid samples. Upon comparison of the myeloid samples with 89 BM patients, NGS testing was able to reliably detect chromosomal gain or loss, except for fusion abnormalities. When cytogenetic abnormalities were classified according to prognostic classes, there was a complete (100%) concordance between cfDNA NGS data and cytogenetic data. Conclusions: This data shows that liquid biopsy using targeted NGS is reliable in detecting chromosomal structural abnormalities in myeloid neoplasms. In specific circumstances, targeted NGS may be reliable and efficient to provide adequate information without the need for BM biopsy considering broad mutation profiling can be obtained through adequate sequencing within the same test. Overall, this study supports the use of liquid biopsy for early diagnosis and monitoring of patients with myeloid neoplasms.

Indexed as

cfDNAchromosomal abnormalitiesCNVscytogeneticsliquid biopsymyeloidNGS

Identifiers

PMID35774119
PMCPMC9238409
OpenAlexW4282943291

What OpenQuestion holds

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LicenceCC BY
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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.