Evidence map›Paper›PMID 33725274›Full record

ArticleJournal of assisted reproduction and genetics2021

Purging human ovarian cortex of contaminating leukaemic cells by targeting the mitotic catastrophe signalling pathway.

Lotte Eijkenboom, Callista Mulder, Bert van der Reijden, Norah van Mello, Julia van Leersum, Thessa Koorenhof-Scheele, Didi Braat, Catharina Beerendonk, Ronald Peek

Open access · hybridAbstract read
In one paragraph

Article in Journal of assisted reproduction and genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Cryopreservation of Rodent Ovarian Tissues and Oocytes.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Human reproduction open · 2023
    Article
  8. Article
  9. 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

9 authors at 3 institutions in 1 country.

Lotte EijkenboomDepartment of Obstetrics and Gynaecology, Radboud University Medical Centre, Nijmegen, The Netherlands. Lotte.Eijkenboom@radboudumc.nl.ORCID http://orcid.org/0000-0002-2612-5472
Callista MulderDepartment of Reproductive Biology, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, The Netherlands.
Bert van der ReijdenDepartment of Laboratory Medicine, Laboratory of Haematology, Radboud Institute of Molecular Life Sciences, Nijmegen, The Netherlands.
Norah van MelloDepartment of Obstetrics and Gynaecology, Amsterdam University Medical Centre, Vrije Universiteit, Amsterdam, The Netherlands.
Julia van LeersumDepartment of Obstetrics and Gynaecology, Radboud University Medical Centre, Nijmegen, The Netherlands.
Thessa Koorenhof-ScheeleDepartment of Laboratory Medicine, Laboratory of Haematology, Radboud Institute of Molecular Life Sciences, Nijmegen, The Netherlands.
Didi BraatDepartment of Obstetrics and Gynaecology, Radboud University Medical Centre, Nijmegen, The Netherlands.
Catharina BeerendonkDepartment of Obstetrics and Gynaecology, Radboud University Medical Centre, Nijmegen, The Netherlands.
Ronald PeekDepartment of Obstetrics and Gynaecology, Radboud University Medical Centre, Nijmegen, The Netherlands.
Radboud University Nijmegen · NLUniversity of Amsterdam · NLVrije Universiteit Amsterdam · NL

Funding

Merck KGaA A19-1294
6 · The paper itself

Abstract

purposeIs it possible to eliminate metastasised chronic myeloid leukaemia (CML) and acute myeloid leukaemia (AML) cells from ovarian cortex fragments by inhibition of Aurora B/C kinases (AURKB/C) without compromising ovarian tissue or follicles?

methodsHuman ovarian cortex tissue with experimentally induced tumour foci of CML, AML and primary cells of AML patients were exposed to a 24h treatment with 1 μM GSK1070916, an AURKB/C inhibitor, to eliminate malignant cells by invoking mitotic catastrophe. After treatment, the inhibitor was removed, followed by an additional culture period of 6 days to allow any remaining tumour cells to form new foci. Ovarian tissue integrity after treatment was analysed by four different assays. Appropriate controls were included in all experiments.

resultsFoci of metastasised CML and AML cells in ovarian cortex tissue were severely affected by a 24h ex vivo treatment with an AURKB/C inhibitor, leading to the formation of multi-nuclear syncytia and large-scale apoptosis. Ovarian tissue morphology and viability was not compromised by the treatment, as no significant difference was observed regarding the percentage of morphologically normal follicles, follicular viability, glucose uptake or in vitro growth of small follicles between ovarian cortex treated with 1 μM GSK1070916 and the control.

conclusionPurging of CML/AML metastases in ovarian cortex is possible by targeting the Mitotic Catastrophe Signalling Pathway using GSK1070916 without affecting the ovarian tissue. This provides a therapeutic strategy to prevent reintroduction of leukaemia and enhances safety of autotransplantation in leukaemia patients currently considered at high risk for ovarian involvement.

Indexed as

ApoptosisAurora Kinase BAurora Kinase CAza CompoundsCell Line, TumorCell SurvivalCryopreservationFemaleHumansIndolesLeukemia, Myelogenous, Chronic, BCR-ABL PositiveLeukemia, Myeloid, AcuteMitosisNeoplasm MetastasisOvarian FollicleSignal TransductionAURKB protein, humanAURKC protein, humanAurora Kinase BAurora Kinase CAza CompoundsGSK 1070916IndolesAurora kinasesCryopreservationGSK1070916Myeloid leukaemiaOvarian cortexPurging

Identifiers

PMID33725274
PMCPMC8266964
OpenAlexW3137565573

What OpenQuestion holds

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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.