Evidence map›Paper›PMID 32758285›Full record

ArticleActa neuropathologica communications2020

A comprehensive DNA panel next generation sequencing approach supporting diagnostics and therapy prediction in neurooncology.

Julia Lorenz, Tanja Rothhammer-Hampl, Saida Zoubaa, Elisabeth Bumes, Tobias Pukrop, Oliver Kölbl, Selim Corbacioglu, Nils O Schmidt, Martin Proescholdt, Peter Hau and 1 more

Open access · goldAbstract read
In one paragraph

Article in Acta neuropathologica communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. 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

11 authors at 1 institution in 1 country.

Julia LorenzDepartment of Neuropathology, Regensburg University Hospital, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.
Tanja Rothhammer-HamplDepartment of Neuropathology, Regensburg University Hospital, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.
Saida ZoubaaDepartment of Neuropathology, Regensburg University Hospital, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.
Elisabeth BumesWilhelm Sander Neuro-Oncology Unit, Regensburg University Hospital, Regensburg, Germany.
Tobias PukropDepartment of Internal Medicine III, Regensburg University Hospital, Regensburg, Germany.
Oliver KölblWilhelm Sander Neuro-Oncology Unit, Regensburg University Hospital, Regensburg, Germany.
Selim CorbaciogluDepartment of Pediatric Hematology, Oncology and Stem Cell Transplantation, Regensburg University Hospital, Regensburg, Germany.
Nils O SchmidtWilhelm Sander Neuro-Oncology Unit, Regensburg University Hospital, Regensburg, Germany.
Martin ProescholdtWilhelm Sander Neuro-Oncology Unit, Regensburg University Hospital, Regensburg, Germany.
Peter HauWilhelm Sander Neuro-Oncology Unit, Regensburg University Hospital, Regensburg, Germany.
Markus J RiemenschneiderDepartment of Neuropathology, Regensburg University Hospital, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany. markus.riemenschneider@ukr.de.
University Hospital Regensburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent updates in the classification of central nervous system (CNS) tumors have increased the need for molecular testing. Assessment of multiple alterations in parallel, complex combinations of gene sequence and chromosomal changes, as well as therapy prediction by identification of actionable mutations are the major challenges. We here report on a customized next generation sequencing (NGS)-based DNA panel assay that combines diagnostic and predictive testing and -as a comprehensive approach- allows for simultaneous single nucleotide variant (SNP) / small insertion/deletion (InDel), copy number variation (CNV) and loss of heterozygosity (LOH) detection. We analyzed formalin-fixed and paraffin-embedded (FFPE) DNA from a total of 104 patients with CNS tumors. After amplicon capture-based library preparation, sequencing was performed on the relatively cost-efficient Illiumina MiniSeq platform and evaluated with freely available bioinformatical tools. 57 genes for exonic SNP/InDel calling (19 of those in intronic regions for CNV analysis), 3 chromosomal arms and 4 entire chromosomes for CNV and LOH analysis were covered. Results were extensively validated. Our approach yielded high accuracy, sensitivity and specificity. It led to refined diagnoses in a relevant number of analyzed cases, reliably enabled complex subclassifications (e.g. for medulloblastomas) and identified actionable targets for clinical use. Thus, our single-platform approach is an efficient and powerful tool to comprehensively support molecular testing in neurooncology. Future functionality is guaranteed as novel upcoming biomarkers can be easily incorporated in a modular panel design.

Indexed as

AdultAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBrain NeoplasmsFemaleHigh-Throughput Nucleotide SequencingHumansMaleMedical OncologyMolecular Targeted TherapyNeurologyPrecision MedicineSequence Analysis, DNABiomarkers, TumorGlioblastomaGliomaIntegrated diagnosesMedulloblastomaMeningiomaNext generation sequencingTargeted therapy

Identifiers

PMID32758285
PMCPMC7405456
OpenAlexW3047111066

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.