Evidence map›Paper›PMID 21487065›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2011

Humanized bone marrow mouse model as a preclinical tool to assess therapy-mediated hematotoxicity.

Shanbao Cai, Haiyan Wang, Barbara Bailey, Aaron Ernstberger, Beth E Juliar, Anthony L Sinn, Rebecca J Chan, David R Jones, Lindsey D Mayo, Arthur R Baluyut and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. How old is too old?World journal of stem cells · 2020
    Article
  5. The Role of MDM2 in Promoting Genome Stability versus Instability.International journal of molecular sciences · 2017
    Review
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  7. Article
  8. Review
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  14. Temozolomide-mediated DNA methylation in human myeloid precursor cells: differential involvement of intrinsic and extrinsic apoptotic pathways.Clinical cancer research : an official journal of the American Association for Cancer Research · 2013
    Article
  15. Article
  16. 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

12 authors at 5 institutions in 1 country.

Shanbao CaiHerman B Wells Center for Pediatric Research, Department of Pediatrics, Section of Pediatric Hematology/Oncology, The Riley Hospital for Children, Indianapolis, Indiana 46202, USA.
Haiyan Wang
Barbara Bailey
Aaron Ernstberger
Beth E Juliar
Anthony L Sinn
Rebecca J Chan
David R Jones
Lindsey D Mayo
Arthur R Baluyut
W Scott Goebel
Karen E Pollok
Indiana University – Purdue University Indianapolis · USIndiana University Health · USIndiana University School of MedicineSt Vincent Hospital · USRiley Hospital for Children · US

Funding

Dual Targeting of DNA Repair and p53 pathways for treatment of brain cancerR01CA138798 · NCI · INDIANA UNIVERSITY INDIANAPOLIS · PI POLLOK, KAREN ELIZABETH · 2010 to 2014
$1.5M
Factors Influencing Engraftment in Submyeloablated HostsK08HL075253 · NHLBI · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI GOEBEL, WILLIAM SCOTT · 2005 to 2009
$667k
NCI NIH HHS R01 CA138798NCI NIH HHS R01CA138798NHLBI NIH HHS K08 HL075253NHLBI NIH HHS KO8 HL75253
6 · The paper itself

Abstract

purposePreclinical in vivo studies can help guide the selection of agents and regimens for clinical testing. However, one of the challenges in screening anticancer therapies is the assessment of off-target human toxicity. There is a need for in vivo models that can simulate efficacy and toxicities of promising therapeutic regimens. For example, hematopoietic cells of human origin are particularly sensitive to a variety of chemotherapeutic regimens, but in vivo models to assess potential toxicities have not been developed. In this study, a xenograft model containing humanized bone marrow is utilized as an in vivo assay to monitor hematotoxicity. EXPERIMENTAL

designA proof-of-concept, temozolomide-based regimen was developed that inhibits tumor xenograft growth. This regimen was selected for testing because it has been previously shown to cause myelosuppression in mice and humans. The dose-intensive regimen was administered to NOD.Cg-Prkdc(scid)IL2rg(tm1Wjl)/Sz (NOD/SCID/γchain(null)), reconstituted with human hematopoietic cells, and the impact of treatment on human hematopoiesis was evaluated.

resultsThe dose-intensive regimen resulted in significant decreases in growth of human glioblastoma xenografts. When this regimen was administered to mice containing humanized bone marrow, flow cytometric analyses indicated that the human bone marrow cells were significantly more sensitive to treatment than the murine bone marrow cells and that the regimen was highly toxic to human-derived hematopoietic cells of all lineages (progenitor, lymphoid, and myeloid).

conclusionsThe humanized bone marrow xenograft model described has the potential to be used as a platform for monitoring the impact of anticancer therapies on human hematopoiesis and could lead to subsequent refinement of therapies prior to clinical evaluation.

Indexed as

Xenograft Model Antitumor AssaysAnimalsAntineoplastic Combined Chemotherapy ProtocolsBone MarrowBone Marrow CellsCell Line, TumorCord Blood Stem Cell TransplantationDacarbazineDose-Response Relationship, DrugFemaleGlioblastomaGuanineHumansMaleMiceMice, Inbred BALB CDacarbazineGuanineO(6)-benzylguanineTemozolomide

Identifiers

PMID21487065
PMCPMC3078977
OpenAlexW2037911087

What OpenQuestion holds

Textmetadata
LicenceTDM
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.