Evidence map›Paper›PMID 33919246›Full record

ArticleInternational journal of molecular sciences2021

A Drug Screening Pipeline Using 2D and 3D Patient-Derived In Vitro Models for Pre-Clinical Analysis of Therapy Response in Glioblastoma.

Sakthi Lenin, Elise Ponthier, Kaitlin G Scheer, Erica C F Yeo, Melinda N Tea, Lisa M Ebert, Mariana Oksdath Mansilla, Santosh Poonnoose, Ulrich Baumgartner, Bryan W Day and 3 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. ModularFrontiers in toxicology · 2026
    Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Harnessing Organoid Platforms for Nanoparticle Drug Development.Drug design, development and therapy · 2025
    Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Applications of organoid technology to brain tumors.CNS neuroscience & therapeutics · 2023
    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

13 authors at 3 institutions in 1 country.

Sakthi LeninCentre for Cancer Biology, SA Pathology and the University of South of Australia, Adelaide, SA 5000, Australia.
Elise PonthierCentre for Cancer Biology, SA Pathology and the University of South of Australia, Adelaide, SA 5000, Australia.
Kaitlin G ScheerCentre for Cancer Biology, SA Pathology and the University of South of Australia, Adelaide, SA 5000, Australia.ORCID 0000-0002-2103-0378
Erica C F YeoCentre for Cancer Biology, SA Pathology and the University of South of Australia, Adelaide, SA 5000, Australia.ORCID 0000-0002-0416-5692
Melinda N TeaCentre for Cancer Biology, SA Pathology and the University of South of Australia, Adelaide, SA 5000, Australia.
Lisa M EbertCentre for Cancer Biology, SA Pathology and the University of South of Australia, Adelaide, SA 5000, Australia.ORCID 0000-0002-8041-9666
Mariana Oksdath MansillaCentre for Cancer Biology, SA Pathology and the University of South of Australia, Adelaide, SA 5000, Australia.
Santosh PoonnooseFlinders Health and Medical Research Institute, College of Medicine & Public Health, Flinders University, Adelaide, SA 5042, Australia.ORCID 0000-0002-9486-4904
Ulrich BaumgartnerCell and Molecular Biology Department, Sid Faithfull Brain Cancer Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia.ORCID 0000-0001-8170-0567
Bryan W DayCell and Molecular Biology Department, Sid Faithfull Brain Cancer Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia.
Rebecca J OrmsbyFlinders Health and Medical Research Institute, College of Medicine & Public Health, Flinders University, Adelaide, SA 5042, Australia.
Stuart M PitsonCentre for Cancer Biology, SA Pathology and the University of South of Australia, Adelaide, SA 5000, Australia.ORCID 0000-0002-9527-2740
Guillermo A GomezCentre for Cancer Biology, SA Pathology and the University of South of Australia, Adelaide, SA 5000, Australia.ORCID 0000-0002-0494-2404
South Australia Pathology · AUFlinders University · AUQueensland University of Technology · AU

Funding

Australian Research Council FT160100366Cancer Council South Australia Beat Cancer ProjectCure Brain Cancer Foundation Infraestructure GrantFay Fuller Foundation NAHealth Services Charitable Gifts Board NANational Health and Medical Research Council 1156693Neurosurgical Research Foundation Project GrantUniversity of South Australia RTIS grant
6 · The paper itself

Abstract

Glioblastoma is one of the most common and lethal types of primary brain tumor. Despite aggressive treatment with chemotherapy and radiotherapy, tumor recurrence within 6-9 months is common. To overcome this, more effective therapies targeting cancer cell stemness, invasion, metabolism, cell death resistance and the interactions of tumor cells with their surrounding microenvironment are required. In this study, we performed a systematic review of the molecular mechanisms that drive glioblastoma progression, which led to the identification of 65 drugs/inhibitors that we screened for their efficacy to kill patient-derived glioma stem cells in two dimensional (2D) cultures and patient-derived three dimensional (3D) glioblastoma explant organoids (GBOs). From the screening, we found a group of drugs that presented different selectivity on different patient-derived in vitro models. Moreover, we found that Costunolide, a TERT inhibitor, was effective in reducing the cell viability in vitro of both primary tumor models as well as tumor models pre-treated with chemotherapy and radiotherapy. These results present a novel workflow for screening a relatively large groups of drugs, whose results could lead to the identification of more personalized and effective treatment for recurrent glioblastoma.

Indexed as

Drug Evaluation, PreclinicalOrganoidsAntineoplastic AgentsBrain NeoplasmsCells, CulturedGlioblastomaHumansPrecision MedicineTumor MicroenvironmentAntineoplastic Agentsdrug screeningglioblastomaorganoidspersonalized medicinetherapy resistancetumor microenvironment

Identifiers

PMID33919246
PMCPMC8122466
OpenAlexW3154009795

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.