Evidence map›Paper›PMID 30635983›Full record

ArticleCancer medicine2019

Comprehensive mutation profiling and mRNA expression analysis in atypical chronic myeloid leukemia in comparison with chronic myelomonocytic leukemia.

Muhammad Faisal, Helge Stark, Guntram Büsche, Jerome Schlue, Kristin Teiken, Hans H Kreipe, Ulrich Lehmann, Stephan Bartels

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Expanding the Spectrum ofJournal of clinical medicine · 2025
    Article
  3. Article
  4. Myeloproliferative Neoplasms: Contemporary Review and Molecular Landscape.International journal of molecular sciences · 2023
    Review
  5. Atypical CML: diagnosis and treatment.Hematology. American Society of Hematology. Education Program · 2023
    Article
  6. Article
  7. Leukemia research reports · 2022
    Article
  8. Review
  9. Review
  10. Article
  11. Molecular Pathogenesis ofFrontiers in oncology · 2021
    Review
  12. Article
  13. Article
  14. Article
  15. 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

8 authors at 1 institution in 1 country.

Muhammad FaisalInstitute of Pathology, Hannover Medical School, Hannover, Germany.
Helge StarkInstitute of Pathology, Hannover Medical School, Hannover, Germany.
Guntram BüscheInstitute of Pathology, Hannover Medical School, Hannover, Germany.
Jerome SchlueInstitute of Pathology, Hannover Medical School, Hannover, Germany.
Kristin TeikenInstitute of Pathology, Hannover Medical School, Hannover, Germany.
Hans H KreipeInstitute of Pathology, Hannover Medical School, Hannover, Germany.
Ulrich LehmannInstitute of Pathology, Hannover Medical School, Hannover, Germany.
Stephan BartelsInstitute of Pathology, Hannover Medical School, Hannover, Germany.ORCID 0000-0002-8903-2345
Medizinische Hochschule Hannover · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atypical chronic myeloid leukemia (aCML) and chronic myelomonocytic leukemia (CMML) represent two histologically and clinically overlapping myelodysplastic/myeloproliferative neoplasms. Also the mutational landscapes of both entities show congruencies. We analyzed and compared an aCML cohort (n = 26) and a CMML cohort (n = 59) by next-generation sequencing of 25 genes and by an nCounter approach for differential expression in 107 genes. Significant differences were found with regard to the mutation frequency of TET2, SETBP1, and CSF3R. Blast content of the bone marrow revealed an inverse correlation with the mutation status of SETBP1 in aCML and TET2 in CMML, respectively. By linear discriminant analysis, a mutation-based machine learning algorithm was generated which placed 19/26 aCML cases (73%) and 54/59 (92%) CMML cases into the correct category. After multiple correction, differential mRNA expression could be detected between both cohorts in a subset of genes (FLT3, CSF3R, and SETBP1 showed the strongest correlation). However, due to high variances in the mRNA expression, the potential utility for the clinic is limited. We conclude that a medium-sized NGS panel provides a valuable assistance for the correct classification of aCML and CMML.

Indexed as

AdultAgedAged, 80 and overFemaleHigh-Throughput Nucleotide SequencingHumansLeukemia, Myelogenous, Chronic, BCR-ABL PositiveLeukemia, Myelomonocytic, ChronicMaleMiddle AgedMutationRNA, MessengerRNA, MessengeraCMLCMMLmachine learning algorithmnCounterNGS

Identifiers

PMID30635983
PMCPMC6382710
OpenAlexW2909410317

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.