Evidence map›Paper›PMID 27029036›Full record

ReviewOncotarget2016

Routine clinical mutation profiling using next generation sequencing and a customized gene panel improves diagnostic precision in myeloid neoplasms.

Stephan Bartels, Elisa Schipper, Britta Hasemeier, Hans Kreipe, Ulrich Lehmann

Abstract readReviewValidation Study
In one paragraph

Review in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. International journal of molecular sciences · 2020
    Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Estrogen receptor (ESR1) mutation in bone metastases from breast cancer.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2018
    Article
  17. Predicting Chemotherapy Resistance in AML.Current hematologic malignancy reports · 2017
    Review
  18. SystematicBlood advances · 2017
    Article
  19. 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

5 authors.

Stephan BartelsInstitute of Pathology, Medizinische Hochschule Hannover, Hannover, Germany.
Elisa SchipperInstitute of Pathology, Medizinische Hochschule Hannover, Hannover, Germany.
Britta HasemeierInstitute of Pathology, Medizinische Hochschule Hannover, Hannover, Germany.
Hans KreipeInstitute of Pathology, Medizinische Hochschule Hannover, Hannover, Germany.
Ulrich LehmannInstitute of Pathology, Medizinische Hochschule Hannover, Hannover, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microscopic examination of myelodysplastic syndromes (MDS) and myelodysplastic-myeloproliferative neoplasms (MDS/MPN) may be challenging because morphological features can overlap with those of reactive states. Demonstration of clonal hematopoiesis provides a diagnostic clue and has become possible by comprehensive mutation profiling of a number of frequently mutated genes, some of them with large coding regions.To emphasize the potential benefit of NGS in hematopathology we present sequencing results from routinely processed formalin-fixed and paraffin-embedded (FFPE) bone marrow trephines (n = 192). A customized amplicon-based gene panel including 23 genes frequently mutated in myeloid neoplasms was established and implemented. Thereby, 629,691 reads per sample (range 179,847-1,460,412) and a mean coverage of 2,702 (range 707-6,327) could be obtained, which are sufficient for comprehensive mutational profiling. Seven samples failed in sequencing (3.6%). In 185 samples we found in total 269 pathogenic variants (mean 1.4 variants per patient, range 0-5), 125 Patients exhibit at least one pathogenic mutation (67.6%). Variants show allele frequencies ranging from 6.7% up to 95.7%. Most frequently mutated genes were TET2 (28.7%), SRSF2 (19.5%), ASXL1 (8.6%) and U2AF1 (8.1%). The mutation profiling increases the diagnostic precision and adds prognostic information.

Indexed as

AdolescentAdultAgedAged, 80 and overBiomarkers, TumorBiopsyBone MarrowDioxygenasesDNA-Binding ProteinsDNA Mutational AnalysisGene FrequencyHematologic NeoplasmsHigh-Throughput Nucleotide SequencingHumansMiddle AgedMutationASXL1 protein, humanBiomarkers, TumorDioxygenasesDNA-Binding ProteinsProto-Oncogene ProteinsRepressor ProteinsSerine-Arginine Splicing FactorsSplicing Factor U2AFSRSF2 protein, humanTET2 protein, humanU2AF1 protein, humanFFPEhematopathologyMDSmyeloid neoplasmsnext-generation sequencingPathology Section

Identifiers

PMID27029036
PMCPMC5058665

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Registered trials

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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.