Evidence map›Paper›PMID 33173206›Full record

ReviewNature reviews. Urology2021

Patient-derived tumour models for personalized therapeutics in urological cancers.

Arjanneke F van de Merbel, Geertje van der Horst, Gabri van der Pluijm

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Harnessing preclinical models for the interrogation of ovarian cancer.Journal of experimental & clinical cancer research : CR · 2022
    Review
  12. The importance of personalized medicine in urological cancers.Journal of diabetes and metabolic disorders · 2022
    Review
  13. Article
  14. Review
  15. Harnessing the Utility ofFrontiers in oncology · 2022
    Review
  16. Review
  17. 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

3 authors.

Arjanneke F van de MerbelDepartment of Urology, Leiden University Medical Center, Leiden, Netherlands.ORCID 0000-0002-2439-8047
Geertje van der HorstDepartment of Urology, Leiden University Medical Center, Leiden, Netherlands.ORCID 0000-0003-1696-160X
Gabri van der PluijmDepartment of Urology, Leiden University Medical Center, Leiden, Netherlands. g.van_der_pluijm@lumc.nl.ORCID 0000-0002-1351-1884

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preclinical knowledge of dysregulated pathways and potential biomarkers for urological cancers has undergone limited translation into the clinic. Moreover, the low approval rate of new anticancer drugs and the heterogeneous drug responses in patients indicate that current preclinical models do not always reflect the complexity of malignant disease. Patient-derived tumour models used in preclinical uro-oncology research include 3D culture systems, organotypic tissue slices and patient-derived xenograft models. Technological innovations have enabled major improvements in the capacity of these tumour models to reproduce the clinical complexity of urological cancers. Each type of patient-derived model has inherent advantages and limitations that can be exploited, either alone or in combination, to gather specific knowledge on clinical challenges and address unmet clinical needs. Nevertheless, few opportunities exist for patients with urological cancers to benefit from personalized therapeutic approaches. Clinical validation of experimental data is needed to facilitate the translation and implementation of preclinical knowledge into treatment decision making.

Indexed as

Disease Models, AnimalAnimalsAntineoplastic AgentsCell Culture TechniquesCell Line, TransformedClinical Trials as TopicHumansPrecision MedicineUrologic NeoplasmsXenograft Model Antitumor AssaysAntineoplastic Agents

Identifiers

What OpenQuestion holds

Textmetadata
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.