Evidence map›Paper›PMID 27435001›Full record

ArticleLeukemia2017

An Fc-optimized CD133 antibody for induction of NK cell reactivity against myeloid leukemia.

S P Koerner, M C André, J S Leibold, P C Kousis, A Kübler, M Pal, S P Haen, H-J Bühring, L Grosse-Hovest, G Jung and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Leukemia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
7.1field-weighted citation impact, top 3% 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

45 citing papers in PubMed, 54 citations in OpenAlex.

  1. Review
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  7. Patient-Specific Targeting of the T-Cell Receptor Variable Region as a Therapeutic Strategy in Clonal T-Cell Diseases.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  8. Review
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  11. CD133 as a Biomarker for an Autoantibody-to-ImmunoPET Paradigm for the Early Detection of Small Cell Lung Cancer.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Article
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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

11 authors at 3 institutions in 2 countries.

S P KoernerDepartment for Internal Medicine II, Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner site Tübingen, Tuebingen, Germany.
M C AndréDepartment of Pediatric Hematology and Oncology, University Children's Hospital, Eberhard Karls University, Tuebingen, Germany.
J S LeiboldDepartment for Immunology, Eberhard Karls University, Tuebingen, Germany.
P C KousisDepartment for Internal Medicine II, Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner site Tübingen, Tuebingen, Germany.
A KüblerDepartment of Pediatric Hematology and Oncology, University Children's Hospital, Eberhard Karls University, Tuebingen, Germany.
M PalDepartment of Pediatric Hematology and Oncology, University Children's Hospital, Eberhard Karls University, Tuebingen, Germany.
S P HaenDepartment of Hematology and Oncology, Eberhard Karls University, Tuebingen, Germany.
H-J BühringDepartment of Hematology and Oncology, Eberhard Karls University, Tuebingen, Germany.
L Grosse-HovestDepartment for Immunology, Eberhard Karls University, Tuebingen, Germany.
G JungDepartment for Immunology, Eberhard Karls University, Tuebingen, Germany.
H R SalihDepartment for Internal Medicine II, Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner site Tübingen, Tuebingen, Germany.
University of Tübingen · DEGerman Cancer Research Center · DEUniversity Children's Hospital Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibody-dependent cellular cytotoxicity (ADCC) of natural killer (NK) cells largely contributes to the success of monoclonal antibody (mAb) treatment in cancer. As no antibodies are clinically available for immunotherapy of myeloid leukemias (MLs), we aimed to develop an Fc-optimized CD133 mAb for induction of NK ADCC against MLs. When comparing different available CD133 mAbs, no difference was observed with regard to binding to primary chronic myeloid leukemia cells. However, clone 293C3 recognized acute myeloid leukemia (AML) cells in a substantially higher percentage of patient cases and was thus chosen to generate chimeric mAbs with either wild-type Fc part (293C3-WT) or a variant containing amino-acid exchanges (S239D/I332E) to enhance affinity to CD16 on NK cells (293C3-SDIE). In vitro, treatment with 293C3-SDIE significantly enhanced activation, degranulation and lysis of primary CD133-positive AML cells by allogeneic and autologous NK cells as compared with its wild-type counterpart. In line with the observed lower expression levels of CD133 on healthy cells compared with malignant hematopoietic cells, 293C3-SDIE caused no relevant toxicity towards committed hematopoietic progenitor cells. In a NOD.Cg-PrkdcscidIL2rgtmWjl/Sz xenotransplantation model, 293C3-SDIE facilitated elimination of patient AML cells by human NK cells. Thus, 293C3-SDIE constitutes an attractive immunotherapeutic compound, in particular for elimination of minimal residual disease in the context of allogeneic stem cell transplantation in AML.

Indexed as

AC133 AntigenAnimalsAntibodies, MonoclonalAntibody-Dependent Cell CytotoxicityCell DegranulationCytokinesCytotoxicity, ImmunologicEpitopesHeterograftsHumansImmunoglobulin Fc FragmentsKiller Cells, NaturalLeukemia, Myeloid, AcuteLymphocyte ActivationMiceAC133 AntigenAntibodies, MonoclonalCytokinesEpitopesImmunoglobulin Fc Fragments

Identifiers

PMID27435001
OpenAlexW2484474189

What OpenQuestion holds

Textmetadata
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.