Evidence map›Paper›PMID 26047774›Full record

ArticleVirchows Archiv : an international journal of pathology2015

The homogeneous mutation status of a 22 gene panel justifies the use of serial sections of colorectal cancer tissue for external quality assessment.

Jeroen R Dijkstra, Bastiaan B J Tops, Iris D Nagtegaal, J Han J M van Krieken, Marjolijn J L Ligtenberg

Abstract read
In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2015. 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
–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

5 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

5 authors.

Jeroen R DijkstraDepartment of Pathology, Radboud University Medical Center, PO Box 9101, 6500, HB, Nijmegen, The Netherlands, Jeroen.Dijkstra@radboudumc.nl.
Bastiaan B J Tops
Iris D Nagtegaal
J Han J M van Krieken
Marjolijn J L Ligtenberg

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Testing for treatment related biomarkers in clinical care, like Ras mutation status in colorectal cancer (CRC), has increased drastically over recent years. Reliable testing of these markers is pivotal for optimal treatment of patients. Participation in external quality assessment (EQA) programs is an important element in quality management and often obligatory to comply with regulations or for accreditation. Formalin-fixed paraffin-embedded (FFPE) clinical specimens would ideally form the basis for these assessments, as they represent the most common starting material for molecular testing. However, molecular heterogeneity of a lesion in a FFPE tissue block could potentially affect test results of participating laboratories, which might compromise reliability of the quality assessment results. To assess the actual impact of this potential problem, we determined the mutation status of 22 genes commonly mutated in colon cancer in four levels covering 360 μm of 30 FFPE tissue blocks, by Next Generation Sequencing. In each block, the genotype of these genes was identical at all four levels, with only little variation in mutation load. This result shows that the mutation status of the selected 22 genes in CRC specimens is homogeneous within a 360 μm segment of the tumor. These data justify the use of serial sections, within a defined segment of a CRC tissue block, for external quality assessment of mutation analysis.

Indexed as

Biomarkers, TumorColorectal NeoplasmsDNA Mutational AnalysisFormaldehydeGenotypeHigh-Throughput Nucleotide SequencingHumansParaffin EmbeddingQuality Assurance, Health CareTissue FixationBiomarkers, TumorFormaldehyde

Identifiers

PMID26047774
PMCPMC4552773

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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.