Evidence map›Paper›PMID 30406424›Full record

Observational studyVirchows Archiv : an international journal of pathology2019

BRAF mutation testing in melanoma: results from a German observational multicenter study.

Arndt Hartmann, Peter Schirmacher, William Sterlacci, Winfried Koch, David B Liesenfeld, Birgit Schif, Claus Garbe

Abstract readComparative StudyMulticenter StudyObservational Study
PubMed Publisher
In one paragraph

Observational study in Virchows Archiv : an international journal of pathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Arndt HartmannInstitute of Pathology, University of Erlangen-Nüremberg, Krankenhausstr. 8-10, 91054, Erlangen, Germany. arndt.hartmann@uk-erlangen.de.
Peter SchirmacherInstitute of Pathology, University Medicine Heidelberg, Im Neuenheimer Feld 224, 69120, Heidelberg, Germany.
William SterlacciInstitute of Pathology, Klinikum Bayreuth, Preuschwitzer Str. 101, 95445, Bayreuth, Germany.
Winfried KochBDS Koch, Bibienastr. 5, 68723, Schwetzingen, Germany.
David B LiesenfeldRoche Pharma AG, Emil-Barell-Str. 1, 79639, Grenzach-Wyhlen, Germany.
Birgit SchifRoche Pharma AG, Emil-Barell-Str. 1, 79639, Grenzach-Wyhlen, Germany.
Claus GarbeDivision of Dermato-Oncology, University-Department of Dermatology, Liebermeisterstr. 25, 72076, Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quality control of BRAF mutation testing methods used in routine practice is crucial for optimal treatment selection. In this prospective study, we assessed the impact of patient/sample characteristics on BRAF mutation testing results in patients with melanoma, during clinical practice. Data were collected on routine testing practices and documented mutation status in patients with melanoma stages IIIB, IIIC, or IV across 28 diagnostic pathology centers in Germany. Patient/sample data collected included: patient age, location of primary melanoma and metastases, origin of sample, melanoma subtype, and quality of tissue. Statistical influence of patient/sample characteristics on BRAF mutation rate was assessed using multiple logistic regression analyses and statistical models developed to predict the probability of BRAF mutations for individual patient cohorts. Data/samples from 642 patients with melanoma were analyzed. BRAF mutations were documented in 241/642 patients (37.5%). The primary statistical model to predict BRAF mutation rates included: age (continuous), origin of sample, method of mutation analysis, and quality of tissue. Analyses of post hoc collected data identified major deviations between documented mutation rates included in this study vs. routinely recorded mutation rates for three centers. When samples from these centers were excluded, the influence of testing method was no longer statistically significant. The final model included patient age, origin of sample (including metastasis location), and quality of tissue. Once validated in an independent population, this type of model could allow pathology centers to compare the performance of their testing methods with what would be expected based on patient, tumor, and sample characteristics.

Indexed as

DNA Mutational AnalysisMutationAdolescentAdultAgedAged, 80 and overAge FactorsBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticGermanyHumansMaleMelanomaMiddle AgedMutation RateBiomarkers, TumorBRAF protein, humanProto-Oncogene Proteins B-rafBRAF mutationMelanomaMultiple logistic regressionMutational analysisQuality control

Identifiers

What OpenQuestion holds

Textmetadata
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.