Evidence map›Paper›PMID 36184897›Full record

ReviewExpert reviews in molecular medicine2022

Precision oncology using ex vivo technology: a step towards individualised cancer care?

Sophie T Williams, Greg Wells, Samantha Conroy, Hannah Gagg, Richard Allen, Ola Rominiyi, Thomas Helleday, Katie Hullock, Catherine E W Pennington, Juha Rantala and 2 more

Abstract readReview
In one paragraph

Review in Expert reviews in molecular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. 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.

Sophie T WilliamsDepartment of Oncology & Metabolism, The University of Sheffield Medical School, Sheffield S10 2SJ, UK.ORCID 0000-0002-5843-0295
Greg WellsDepartment of Oncology & Metabolism, The University of Sheffield Medical School, Sheffield S10 2SJ, UK.ORCID 0000-0002-1337-9836
Samantha ConroyDepartment of Oncology & Metabolism, The University of Sheffield Medical School, Sheffield S10 2SJ, UK.ORCID 0000-0001-7167-4908
Hannah GaggDepartment of Oncology & Metabolism, The University of Sheffield Medical School, Sheffield S10 2SJ, UK.ORCID 0000-0003-2763-0304
Richard AllenDepartment of Oncology & Metabolism, The University of Sheffield Medical School, Sheffield S10 2SJ, UK.ORCID 0000-0003-2448-7987
Ola RominiyiDepartment of Oncology & Metabolism, The University of Sheffield Medical School, Sheffield S10 2SJ, UK.ORCID 0000-0002-9724-0224
Thomas HelledayHelleday Laboratory, Karolinska Institutet, Solnavägen 1, 171 77 Solna, Sweden.ORCID 0000-0002-7384-092X
Katie HullockSheffield Experimental Cancer Medicine Centre, Sheffield Teaching Hospitals NHS Foundation Trust & University of Sheffield, Sheffield S10 2SJ, UK.ORCID 0000-0001-8652-1525
Catherine E W PenningtonDepartment of Oncology & Metabolism, The University of Sheffield Medical School, Sheffield S10 2SJ, UK.ORCID 0000-0001-6593-0290
Juha RantalaDepartment of Oncology & Metabolism, The University of Sheffield Medical School, Sheffield S10 2SJ, UK.ORCID 0000-0002-4999-5585
Spencer J CollisDepartment of Oncology & Metabolism, The University of Sheffield Medical School, Sheffield S10 2SJ, UK.ORCID 0000-0002-7874-1891
Sarah J DansonDepartment of Oncology & Metabolism, The University of Sheffield Medical School, Sheffield S10 2SJ, UK.ORCID 0000-0002-3593-2890

Funding

Department of HealthNational Centre for the Replacement, Refinement and Reduction of Animals in Research NC/T001895/1National Centre for the Replacement, Refinement and Reduction of Animals in Research NC/T002093/1
6 · The paper itself

Abstract

Despite advances in cancer genomics and the increased use of genomic medicine, metastatic cancer is still mostly an incurable and fatal disease. With diminishing returns from traditional drug discovery strategies, and high clinical failure rates, more emphasis is being placed on alternative drug discovery platforms, such as ex vivo approaches. Ex vivo approaches aim to embed biological relevance and inter-patient variability at an earlier stage of drug discovery, and to offer more precise treatment stratification for patients. However, these techniques also have a high potential to offer personalised therapies to patients, complementing and enhancing genomic medicine. Although an array of approaches are available to researchers, only a minority of techniques have made it through to direct patient treatment within robust clinical trials. Within this review, we discuss the current challenges to ex vivo approaches within clinical practice and summarise the contemporary literature which has directed patient treatment. Finally, we map out how ex vivo approaches could transition from a small-scale, predominantly research based technology to a robust and validated predictive tool. In future, these pre-clinical approaches may be integrated into clinical cancer pathways to assist in the personalisation of therapy choices and to hopefully improve patient experiences and outcomes.

Indexed as

NeoplasmsGenomicsHumansMedical OncologyPrecision MedicineCancerdrug screeningex vivofunctional precision medicinepersonalised medicinetargeted therapy

Identifiers

PMID36184897
PMCPMC9884776

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.