Evidence map›Paper›PMID 37370824›Full record

ArticleCancers2023

Clinical Utility of Optical Genome Mapping and 523-Gene Next Generation Sequencing Panel for Comprehensive Evaluation of Myeloid Cancers.

Nikhil Shri Sahajpal, Ashis K Mondal, Harmanpreet Singh, Ashutosh Vashisht, Sudha Ananth, Daniel Saul, Alex R Hastie, Benjamin Hilton, Barbara R DuPont, Natasha M Savage and 4 more

Abstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Optical Genome Mapping: A Machine-Based Platform in Cytogenomics.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  8. 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

14 authors.

Nikhil Shri SahajpalGreenwood Genetic Center, Greenwood, SC 29646, USA.
Ashis K MondalDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.ORCID 0000-0003-3826-9489
Harmanpreet SinghDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.
Ashutosh VashishtDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.
Sudha AnanthDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.
Daniel SaulBionano Genomics Inc., San Diego, CA 92121, USA.
Alex R HastieBionano Genomics Inc., San Diego, CA 92121, USA.
Benjamin HiltonGreenwood Genetic Center, Greenwood, SC 29646, USA.
Barbara R DuPontGreenwood Genetic Center, Greenwood, SC 29646, USA.
Natasha M SavageDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.
Vamsi KotaDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.ORCID 0000-0002-5290-9289
Alka ChaubeyBionano Genomics Inc., San Diego, CA 92121, USA.ORCID 0000-0002-0914-9237
Jorge E CortesDepartment of Medicine, Georgia Cancer Center, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.
Ravindra KolheDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.ORCID 0000-0002-8283-2403

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The standard-of-care (SOC) for genomic testing of myeloid cancers primarily relies on karyotyping/fluorescent in situ hybridization (FISH) (cytogenetic analysis) and targeted gene panels (usually ≤54 genes) that harbor hotspot pathogenic variants (molecular genetic analysis). Despite this combinatorial approach, ~50% of myeloid cancer genomes remain cytogenetically normal, and the limited sequencing variant profiles obtained from targeted panels are unable to resolve the molecular etiology of many myeloid tumors. In this study, we evaluated the performance and clinical utility of combinatorial use of optical genome mapping (OGM) and a 523-gene next-generation sequencing (NGS) panel for comprehensive genomic profiling of 30 myeloid tumors and compared it to SOC cytogenetic methods (karyotyping and FISH) and a 54-gene NGS panel. OGM and the 523-gene NGS panel had an analytical concordance of 100% with karyotyping, FISH, and the 54-gene panel, respectively. Importantly, the IPSS-R cytogenetic risk group changed from very good/good to very poor in 22% of MDS (2/9) cases based on comprehensive profiling (karyotyping, FISH, and 54-gene panel vs. OGM and 523-gene panel), while additionally identifying six compound heterozygous events of potential clinical relevance in six cases (6/30, 20%). This cost-effective approach of using OGM and a 523-gene NGS panel for comprehensive genomic profiling of myeloid cancers demonstrated increased yield of actionable targets that can potentially result in improved clinical outcomes.

Indexed as

523-gene NGS panelmyeloid cancersoptical genome mapping

Identifiers

PMID37370824
PMCPMC10296552

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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.