Evidence map›Paper›PMID 34543390›Full record

ArticleBlood advances2022

CombiFlow: combinatorial AML-specific plasma membrane expression profiles allow longitudinal tracking of clones.

Roos Houtsma, Nisha K van der Meer, Kees Meijer, Linde M Morsink, Shanna M Hogeling, Carolien M Woolthuis, Emanuele Ammatuna, Marije T Nijk, Bauke de Boer, Gerwin Huls and 2 more

Open access · goldAbstract read
In one paragraph

Article in Blood advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
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

12 authors at 1 institution in 1 country.

Roos HoutsmaDepartment of Hematology, and.ORCID 0000-0002-9583-4424
Nisha K van der MeerDepartment of Hematology, and.ORCID 0000-0003-4876-2795
Kees MeijerDepartment of Laboratory Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Linde M MorsinkDepartment of Hematology, and.ORCID 0000-0001-5408-5298
Shanna M HogelingDepartment of Hematology, and.ORCID 0000-0003-2124-5333
Carolien M WoolthuisDepartment of Hematology, and.ORCID 0000-0002-6631-645X
Emanuele AmmatunaDepartment of Hematology, and.ORCID 0000-0001-8247-4901
Marije T NijkDepartment of Laboratory Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Bauke de BoerDepartment of Hematology, and.
Gerwin HulsDepartment of Hematology, and.
André B MulderDepartment of Laboratory Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Jan Jacob SchuringaDepartment of Hematology, and.
University Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) often presents as an oligoclonal disease whereby multiple genetically distinct subclones can coexist within patients. Differences in signaling and drug sensitivity of such subclones complicate treatment and warrant tools to identify them and track disease progression. We previously identified >50 AML-specific plasma membrane (PM) proteins, and 7 of these (CD82, CD97, FLT3, IL1RAP, TIM3, CD25, and CD123) were implemented in routine diagnostics in patients with AML (n = 256) and myelodysplastic syndrome (n = 33). We developed a pipeline termed CombiFlow in which expression data of multiple PM markers is merged, allowing a principal component-based analysis to identify distinctive marker expression profiles and to generate single-cell t-distributed stochastic neighbor embedding landscapes to longitudinally track clonal evolution. Positivity for one or more of the markers after 2 courses of intensive chemotherapy predicted a shorter relapse-free survival, supporting a role for these markers in measurable residual disease (MRD) detection. CombiFlow also allowed the tracking of clonal evolution in paired diagnosis and relapse samples. Extending the panel to 36 AML-specific markers further refined the CombiFlow pipeline. In conclusion, CombiFlow provides a valuable tool in the diagnosis, MRD detection, clonal tracking, and understanding of clonal heterogeneity in AML.

Indexed as

Leukemia, Myeloid, AcuteCell MembraneClonal EvolutionClone CellsHumansInterleukin-3 Receptor alpha SubunitInterleukin-3 Receptor alpha Subunit

Identifiers

PMID34543390
PMCPMC9006304
OpenAlexW3199284702

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.