Evidence map›Paper›PMID 36733367›Full record

ReviewFrontiers in oncology2022

Glioblastoma and the search for non-hypothesis driven combination therapeutics in academia.

Timothy Johanssen, Laura McVeigh, Sara Erridge, Geoffrey Higgins, Joelle Straehla, Margaret Frame, Tero Aittokallio, Neil O Carragher, Daniel Ebner

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

9 authors.

Timothy JohanssenTarget Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
Laura McVeighCancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
Sara ErridgeEdinburgh Cancer Centre, Western General Hospital, Edinburgh, United Kingdom.
Geoffrey HigginsDepartment of Oncology, University of Oxford, Oxford, United Kingdom.
Joelle StraehlaKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Department of Pediatric Oncology, Dana-Farber Cancer Institute, Division of Pediatric Hematology/Oncology, Boston Children's Hospital, Boston, MA, United States.
Margaret FrameCancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
Tero AittokallioInstitute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
Neil O CarragherCancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
Daniel EbnerTarget Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.

Funding

Cancer Research UK 28596
6 · The paper itself

Abstract

Glioblastoma (GBM) remains a cancer of high unmet clinical need. Current standard of care for GBM, consisting of maximal surgical resection, followed by ionisation radiation (IR) plus concomitant and adjuvant temozolomide (TMZ), provides less than 15-month survival benefit. Efforts by conventional drug discovery to improve overall survival have failed to overcome challenges presented by inherent tumor heterogeneity, therapeutic resistance attributed to GBM stem cells, and tumor niches supporting self-renewal. In this review we describe the steps academic researchers are taking to address these limitations in high throughput screening programs to identify novel GBM combinatorial targets. We detail how they are implementing more physiologically relevant phenotypic assays which better recapitulate key areas of disease biology coupled with more focussed libraries of small compounds, such as drug repurposing, target discovery, pharmacologically active and novel, more comprehensive anti-cancer target-annotated compound libraries. Herein, we discuss the rationale for current GBM combination trials and the need for more systematic and transparent strategies for identification, validation and prioritisation of combinations that lead to clinical trials. Finally, we make specific recommendations to the preclinical, small compound screening paradigm that could increase the likelihood of identifying tractable, combinatorial, small molecule inhibitors and better drug targets specific to GBM.

Indexed as

drug target combinationglioblastomaglioblastoma stem cellhigh throughput screening (HTS)hypoxiaradiotherapytemozolamide

Identifiers

PMID36733367
PMCPMC9886867

What Socratic 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 Socratic graph.