Evidence map›Paper›PMID 28550184›Full record

ArticleHaematologica2017

Reduced hematopoietic stem cell frequency predicts outcome in acute myeloid leukemia.

Wenwen Wang, Thomas Stiehl, Simon Raffel, Van T Hoang, Isabel Hoffmann, Laura Poisa-Beiro, Borhan R Saeed, Rachel Blume, Linda Manta, Volker Eckstein and 8 more

Open access · goldAbstract read
In one paragraph

Article in Haematologica, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 47 citations in OpenAlex.

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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

18 authors at 5 institutions in 1 country.

Wenwen WangDepartment of Medicine V, Heidelberg University, Germany.
Thomas StiehlInstitute of Applied Mathematics, Interdisciplinary Center for Scientific Computing (IWR), BIOQUANT, Heidelberg University, Germany.
Simon RaffelDepartment of Medicine V, Heidelberg University, Germany.
Van T HoangDepartment of Medicine V, Heidelberg University, Germany.
Isabel HoffmannDepartment of Medicine V, Heidelberg University, Germany.
Laura Poisa-BeiroDepartment of Medicine V, Heidelberg University, Germany.
Borhan R SaeedDepartment of Medicine V, Heidelberg University, Germany.
Rachel BlumeDepartment of Medicine V, Heidelberg University, Germany.
Linda MantaDepartment of Medicine V, Heidelberg University, Germany.
Volker EcksteinDepartment of Medicine V, Heidelberg University, Germany.
Tilmann BochtlerDepartment of Medicine V, Heidelberg University, Germany.
Patrick WuchterDepartment of Medicine V, Heidelberg University, Germany.
Marieke EssersDivision of Stem Cells and Cancer, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany.
Anna JauchInstitute of Human Genetics, Heidelberg University, Germany.
Andreas TrumppDivision of Stem Cells and Cancer, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany.
Anna Marciniak-CzochraInstitute of Applied Mathematics, Interdisciplinary Center for Scientific Computing (IWR), BIOQUANT, Heidelberg University, Germany.
Anthony D HoDepartment of Medicine V, Heidelberg University, Germany.
Christoph LutzDepartment of Medicine V, Heidelberg University, Germany christoph.lutz@med.uni-heidelberg.de.
Heidelberg University · DEDeutschen Konsortium für Translationale Krebsforschung · DEDKFZ-ZMBH Alliance · DEGerman Cancer Research Center · DEHeidelberg Institute for Stem Cell Technology and Experimental Medicine · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In patients with acute myeloid leukemia and low percentages of aldehyde-dehydrogenase-positive cells, non-leukemic hematopoietic stem cells can be separated from leukemic cells. By relating hematopoietic stem cell frequencies to outcome we detected poor overall- and disease-free survival of patients with low hematopoietic stem cell frequencies. Serial analysis of matched diagnostic and follow-up samples further demonstrated that hematopoietic stem cells increased after chemotherapy in patients who achieved durable remissions. However, in patients who eventually relapsed, hematopoietic stem cell numbers decreased dramatically at the time of molecular relapse demonstrating that hematopoietic stem cell levels represent an indirect marker of minimal residual disease, which heralds leukemic relapse. Upon transplantation in immune-deficient mice cases with low percentages of hematopoietic stem cells of our cohort gave rise to leukemic or no engraftment, whereas cases with normal hematopoietic stem cell levels mostly resulted in multi-lineage engraftment. Based on our experimental data, we propose that leukemic stem cells have increased niche affinity in cases with low percentages of hematopoietic stem cells. To validate this hypothesis, we developed new mathematical models describing the dynamics of healthy and leukemic cells under different regulatory scenarios. These models suggest that the mechanism leading to decreases in hematopoietic stem cell frequencies before leukemic relapse must be based on expansion of leukemic stem cells with high niche affinity and the ability to dislodge hematopoietic stem cells. Thus, our data suggest that decreasing numbers of hematopoietic stem cells indicate leukemic stem cell persistence and the emergence of leukemic relapse.

Indexed as

AnimalsCell CountDisease-Free SurvivalFemaleHematopoietic Stem CellsHematopoietic Stem Cell TransplantationHeterograftsHumansLeukemia, Myeloid, AcuteMaleMiceSurvival Rate

Identifiers

PMID28550184
PMCPMC5685219
OpenAlexW2617688959

What OpenQuestion holds

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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.