Evidence map›Paper›PMID 31470642›Full record

ReviewInternational journal of molecular sciences2019

Immunotherapy-Based Targeting and Elimination of Leukemic Stem Cells in AML and CML.

Peter Valent, Irina Sadovnik, Gregor Eisenwort, Karin Bauer, Harald Herrmann, Karoline V Gleixner, Axel Schulenburg, Werner Rabitsch, Wolfgang R Sperr, Dominik Wolf

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

38 citing papers in PubMed, 59 citations in OpenAlex.

  1. Review
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  8. Review
  9. Inhibitory CARs fail to protect from immediate T cell cytotoxicity.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
    Article
  10. Article
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  12. Review
  13. Prevalence of theAmerican journal of translational research · 2023
    Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Oncoimmunology · 2022
    Article
  20. 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

10 authors at 2 institutions in 2 countries.

Peter ValentDepartment of Internal Medicine I, Division of Hematology & Hemostaseology, Medical University of Vienna, 1090 Vienna, Austria. peter.valent@meduniwien.ac.at.ORCID 0000-0003-0456-5095
Irina SadovnikDepartment of Internal Medicine I, Division of Hematology & Hemostaseology, Medical University of Vienna, 1090 Vienna, Austria.
Gregor EisenwortDepartment of Internal Medicine I, Division of Hematology & Hemostaseology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0003-2735-4645
Karin BauerDepartment of Internal Medicine I, Division of Hematology & Hemostaseology, Medical University of Vienna, 1090 Vienna, Austria.
Harald HerrmannDepartment of Internal Medicine I, Division of Hematology & Hemostaseology, Medical University of Vienna, 1090 Vienna, Austria.
Karoline V GleixnerDepartment of Internal Medicine I, Division of Hematology & Hemostaseology, Medical University of Vienna, 1090 Vienna, Austria.
Axel SchulenburgLudwig Boltzmann Institute for Hematology & Oncology, Medical University of Vienna, 1090 Vienna, Austria.
Werner RabitschLudwig Boltzmann Institute for Hematology & Oncology, Medical University of Vienna, 1090 Vienna, Austria.
Wolfgang R SperrDepartment of Internal Medicine I, Division of Hematology & Hemostaseology, Medical University of Vienna, 1090 Vienna, Austria.
Dominik WolfDepartment of Internal Medicine V (Hematology & Oncology), Medical University of Innsbruck, 1090 Innsbruck, Austria.
Medical University of Vienna · ATInnsbruck Medical University · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concept of leukemic stem cells (LSC) has been developed with the idea to explain the clonal hierarchies and architectures in leukemia, and the more or less curative anti-neoplastic effects of various targeted drugs. It is now widely accepted that curative therapies must have the potential to eliminate or completely suppress LSC, as only these cells can restore and propagate the malignancy for unlimited time periods. Since LSC represent a minor cell fraction in the leukemic clone, little is known about their properties and target expression profiles. Over the past few years, several cell-specific immunotherapy concepts have been developed, including new generations of cell-targeting antibodies, antibody-toxin conjugates, bispecific antibodies, and CAR-T cell-based strategies. Whereas such concepts have been translated and may improve outcomes of therapy in certain lymphoid neoplasms and a few other malignancies, only little is known about immunological targets that are clinically relevant and can be employed to establish such therapies in myeloid neoplasms. In the current article, we provide an overview of the immunologically relevant molecular targets expressed on LSC in patients with acute myeloid leukemia (AML) and chronic myeloid leukemia (CML). In addition, we discuss the current status of antibody-based therapies in these malignancies, their mode of action, and successful examples from the field.

Indexed as

Acute DiseaseB7-H1 AntigenCTLA-4 AntigenHumansImmunologic FactorsImmunotherapyLeukemia, Myelogenous, Chronic, BCR-ABL PositiveLeukemia, MyeloidMolecular Targeted TherapyNeoplastic Stem CellsB7-H1 AntigenCD274 protein, humanCTLA-4 AntigenCTLA4 protein, humanImmunologic FactorsAMLbispecific antibodiesCAR-T cell therapyCMLleukemic stem cellsprecision medicine

Identifiers

PMID31470642
PMCPMC6747233
OpenAlexW2971056657

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.