Evidence map›Paper›PMID 38378079›Full record

ArticleThe Journal of molecular diagnostics : JMD2024

Microarray-Based DNA Methylation Profiling: Validation Considerations for Clinical Testing.

Marco L Leung, Zied Abdullaev, Lucas Santana-Santos, John M Skaugen, Stephen Moore, Jianling Ji

Open access · hybridAbstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2024. 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
2.6field-weighted citation impact, top 11% 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, 11 citations in OpenAlex.

  1. Article
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  4. Review
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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

6 authors at 6 institutions in 1 country.

Marco L LeungThe Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, Ohio; Departments of Pathology and Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio. Electronic address: marco.leung@nationwidechildrens.org.
Zied AbdullaevLaboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Lucas Santana-SantosDepartment of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
John M SkaugenDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Stephen MooreDepartment of Molecular and Medical Genetics and Knight Diagnostic Laboratory, Oregon Health & Science University, Portland, Oregon.
Jianling JiDepartment of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, California; Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, California.
National Institutes of Health · USNationwide Children's Hospital · USNorthwestern University · USOregon Health & Science University · USUniversity of Pittsburgh Medical Center · USUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microarray-based methylation profiling has emerged as a valuable tool for refining diagnoses and revealing novel tumor subtypes, particularly in central nervous system tumors. Despite the increasing adoption of this technique in clinical genomic laboratories, no technical standards have been published in establishing minimum criteria for test validation. A working group with experience and expertise in DNA-based methylation profiling tests on central nervous system tumors collaborated to develop practical discussion points and focus on important considerations for validating this test in clinical laboratory settings. The experience in validating this methodology in a clinical setting is summarized. Specifically, the advantages and challenges associated with utilizing an in-house classifier compared with a third-party classifier are highlighted. Additionally, experiences in demonstrating the assay's sensitivity and specificity, establishing minimum sample criteria, and implementing quality control metrics are described. As methylation profiling for tumor classification expands to other tumor types and continues to evolve for various other applications, the critical considerations described here are expected to serve as a guidance for future efforts in establishing professional guidelines for this assay.

Indexed as

DNA MethylationOligonucleotide Array Sequence AnalysisCentral Nervous System NeoplasmsGene Expression ProfilingHumansReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID38378079
PMCPMC11238273
OpenAlexW4391918200

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.