Evidence map›Paper›PMID 34079014›Full record

ArticleScientific reports2021

Maximizing the potential of aggressive mouse tumor models in preclinical drug testing.

M Tarek Elghetany, Jia-Min Ho, Lois Hew Shi-Qi, Sekar Karthik, Jack M F Su, Qi Lin, YuChen Du, Jianhe Shen, Wing-Yuk Chow, Ching C Lau and 6 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

16 authors at 9 institutions in 2 countries.

M Tarek ElghetanyBaylor College of Medicine, Houston, TX, USA.
Jia-Min HoHumphrey Oei Institute of Cancer Research, National Cancer Center Singapore, Singapore, Singapore.
Lois Hew Shi-QiHumphrey Oei Institute of Cancer Research, National Cancer Center Singapore, Singapore, Singapore.
Sekar KarthikHumphrey Oei Institute of Cancer Research, National Cancer Center Singapore, Singapore, Singapore.
Jack M F SuBaylor College of Medicine, Houston, TX, USA.
Qi LinAnn & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA.
YuChen DuAnn & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA.
Jianhe ShenBaylor College of Medicine, Houston, TX, USA.
Wing-Yuk ChowBaylor College of Medicine, Houston, TX, USA.
Ching C LauBaylor College of Medicine, Houston, TX, USA.
Adekunle AdesinaBaylor College of Medicine, Houston, TX, USA.
Angela MajorBaylor College of Medicine, Houston, TX, USA.
Anat Erdreich-EpsteinDepartments of Pediatrics and Pathology, Children's Hospital Los Angeles, Norris Comprehensive Cancer Center, and the Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Kam-Man HuiHumphrey Oei Institute of Cancer Research, National Cancer Center Singapore, Singapore, Singapore.
Xiao-Nan LiBaylor College of Medicine, Houston, TX, USA.
Wan-Yee TeoBaylor College of Medicine, Houston, TX, USA. wan-yee.teo@duke-nus.edu.sg.
Baylor College of Medicine · USChildren's Cancer Center · USNational Cancer Centre Singapore · SGNorthwestern University · USSingHealth Duke-NUS Academic Medical Centre · SGTexas Children's Hospital · USAgency for Science, Technology and Research · SGLurie Children's Hospital · USUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atypical teratoid rhabdoid tumor (ATRT) is an aggressive embryonal brain tumor among infants and young children. Two challenges exist for preclinical testing in ATRT. First, genetically quiet, ATRT is a difficult tumor to target molecularly. Tumor cells need to divide to propagate tumor growth-intercepting the common crossroads in cell cycle progression is a feasible strategy. KIF11 is needed for bipolar spindle formation in metaphase. We identified KIF11 as a universal target of all ATRT-molecular-subtypes. Ispinesib, a KIF11-inhibitor, effectively inhibited tumor proliferation in all seven cell lines. A second challenge-a major challenge in preclinical drug testing in-vivo among aggressive tumor models, is the narrow therapeutic window to administer drugs within the limited murine lifespan. Our most aggressive ATRT tumor model was lethal in all mice within ~ 1 month of tumor implantation. Such short-surviving mouse models are difficult to employ for preclinical drug testing due to the narrow time window to administer drugs. To overcome this time restriction, we developed a clinical staging system which allowed physically-fit mice to continue treatment, in contrast to the conventional method of fixed drug-dose-duration regimen in preclinical testing which will not be feasible in such short-surviving mouse models. We validated this approach in a second embryonal brain tumor, medulloblastoma. This is a clinically relevant, cost-efficient approach in preclinical testing for cancer and non-cancer disease phenotypes. Widely used preclinical mouse models are not the most accurate and lack the aggressive tumor spectrum found within a single tumor type. Mice bearing the most aggressive tumor spectrum progress rapidly in the limited murine life-span, resulting in a narrow therapeutic window to administer drugs, and are thus difficult to employ in preclinical testing. Our approach overcomes this challenge. We discovered ispinesib is efficacious against two embryonal brain tumor types.

Indexed as

AnimalsAntineoplastic AgentsDrug Screening Assays, AntitumorMiceNeoplasms, ExperimentalRhabdoid TumorAntineoplastic Agents

Identifiers

PMID34079014
PMCPMC8172610
OpenAlexW3164149345

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.