Evidence map›Paper›PMID 35477541›Full record

ArticleClinical epigenetics2022

Technical considerations in PCR-based assay design for diagnostic DNA methylation cancer biomarkers.

Maartje Massen, Kim Lommen, Kim A D Wouters, Johan Vandersmissen, Wim van Criekinge, James G Herman, Veerle Melotte, Leo J Schouten, Manon van Engeland, Kim M Smits

Abstract read
In one paragraph

Article in Clinical epigenetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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

10 authors.

Maartje Massen *Department of Pathology, GROW - School for Oncology and Reproduction, Maastricht University Medical Center, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
Kim Lommen *Department of Pathology, GROW - School for Oncology and Reproduction, Maastricht University Medical Center, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
Kim A D WoutersDepartment of Pathology, GROW - School for Oncology and Reproduction, Maastricht University Medical Center, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
Johan VandersmissenMDxHealth, Inc., Irvine, CA, 92618, USA.
Wim van CriekingeDepartment of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, 9000, Ghent, Belgium.
James G HermanThe Hillman Cancer Center, University of Pittsburgh Cancer Institute, Pittsburgh, PA, 15232, USA.
Veerle MelotteDepartment of Pathology, GROW - School for Oncology and Reproduction, Maastricht University Medical Center, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
Leo J SchoutenDepartment of Epidemiology, GROW - School for Oncology and Reproduction, Maastricht University Medical Center, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
Manon van EngelandDepartment of Pathology, GROW - School for Oncology and Reproduction, Maastricht University Medical Center, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
Kim M SmitsDepartment of Pathology, GROW - School for Oncology and Reproduction, Maastricht University Medical Center, P.O. Box 616, 6200 MD, Maastricht, The Netherlands. kim.smits@maastrichtuniversity.nl.ORCID 0000-0003-2097-0533

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA methylation biomarkers for early detection, risk stratification and treatment response in cancer have been of great interest over the past decades. Nevertheless, clinical implementation of these biomarkers is limited, as only < 1% of the identified biomarkers is translated into a clinical or commercial setting. Technical factors such as a suboptimal genomic location of the assay and inefficient primer or probe design have been emphasized as important pitfalls in biomarker research. Here, we use eleven diagnostic DNA methylation biomarkers for colorectal cancer (ALX4, APC, CDKN2A, MGMT, MLH1, NDRG4, SDC2, SFRP1, SFRP2, TFPI1 and VIM), previously described in a systematic literature search, to evaluate these pitfalls.

resultsTo assess the genomic assay location, the optimal genomic locations according to TCGA data were extracted and compared to the genomic locations used in the published assays for all eleven biomarkers. In addition, all primers and probes were technically evaluated according to several criteria, based on literature and expert opinion. Both assay location and assay design quality varied widely among studies.

conclusionsLarge variation in both assay location and design hinders the development of future DNA methylation biomarkers as well as inter-study comparability.

Indexed as

Colorectal NeoplasmsDNA MethylationBiomarkers, TumorHumansPolymerase Chain ReactionBiomarkers, TumorAssay designBiomarkersCancer biomarkersDiagnosisDNA methylationEpigeneticsGenomic location

Identifiers

PMID35477541
PMCPMC9047347

What Socratic 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 Socratic graph.