Evidence map›Paper›PMID 35102500›Full record

ArticleJournal of cell communication and signaling2022

Renal tumouroids: challenges of manufacturing 3D cultures from patient derived primary cells.

Agata Nyga, Katerina Stamati, Patricia A Redondo, Tayebeh Azimi, Andrew Feber, Joana B Neves, Rifat Hamoudi, Nadège Presneau, Soha El Sheikh, Maxine G B Tran and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of cell communication and signaling, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. 3D Tumor Models in Urology.International journal of molecular sciences · 2023
    Review
  7. Endoplasmic Reticulum Stress in Renal Cell Carcinoma.International journal of molecular sciences · 2023
    Review
  8. Modeling the microenvironment special issue.Journal of cell communication and signaling · 2022
    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

13 authors at 7 institutions in 2 countries.

Agata NygaResearch Department of Surgical Biotechnology, Division of Surgery & Interventional Science, University College London, London, UK. anyga@mrc-lmb.cam.ac.uk.ORCID http://orcid.org/0000-0003-3561-5518
Katerina StamatiResearch Department of Surgical Biotechnology, Division of Surgery & Interventional Science, University College London, London, UK.
Patricia A RedondoResearch Department of Surgical Biotechnology, Division of Surgery & Interventional Science, University College London, London, UK.
Tayebeh AzimiResearch Department of Surgical Biotechnology, Division of Surgery & Interventional Science, University College London, London, UK.
Andrew FeberResearch Department of Surgical Biotechnology, Division of Surgery & Interventional Science, University College London, London, UK.
Joana B NevesResearch Department of Surgical Biotechnology, Division of Surgery & Interventional Science, University College London, London, UK.
Rifat HamoudiResearch Department of Surgical Biotechnology, Division of Surgery & Interventional Science, University College London, London, UK.
Nadège PresneauSchool of Life Sciences, University of Westminster, London, UK.
Soha El SheikhCellular Pathology Department, Royal Free London Foundation Trust, London, UK.
Maxine G B TranResearch Department of Surgical Biotechnology, Division of Surgery & Interventional Science, University College London, London, UK.
Mark EmbertonCentre for 3D Models of Health and Disease, Research Department of Targeted Intervention, Division of Surgery & Interventional Science, University College London, Charles Bell House,43-45 Foley Street, London, W1W 7TS, UK.
Marilena LoizidouResearch Department of Surgical Biotechnology, Division of Surgery & Interventional Science, University College London, London, UK.
Umber CheemaCentre for 3D Models of Health and Disease, Research Department of Targeted Intervention, Division of Surgery & Interventional Science, University College London, Charles Bell House,43-45 Foley Street, London, W1W 7TS, UK. u.cheema@ucl.ac.uk.
University College London · GBRoyal Free London NHS Foundation Trust · GBMRC Laboratory of Molecular Biology · GBRoyal Marsden NHS Foundation Trust · GBUniversity College London Hospitals NHS Foundation Trust · GBUniversity of Sharjah · AEUniversity of Westminster · GB

Funding

Invention for Innovation Programme II-LA-0813-20002
6 · The paper itself

Abstract

Recent advancements in 3D in vitro culture have allowed for the development of cancer tissue models which accurately recapitulate the tumour microenvironment. Consequently, there has been increased innovation in therapeutic drug screening. While organoid cultures show great potential, they are limited by the time scale of their growth in vitro and the dependence upon commercial matrices, such as Matrigel, which do not allow for manipulations of their composition or mechanical properties. Here, we show a straightforward approach for the isolation and culture of primary human renal carcinoma cells and matched non-affected kidney. This approach does not require any specific selection for cancer cells, and allows for their direct culture in amenable 3D collagen-based matrices, with the preservation of cancer cells as confirmed by NGS sequencing. This method allows for culture of patient-derived cancer cells in 3D microenvironment, which can be used for downstream experimentation such as investigation of cell-matrix interaction or drug screening.

Indexed as

3D cancer culturesPatient derived 3D culturesRenal cancerRenal cancer mutationsTumouroids

Identifiers

PMID35102500
PMCPMC9733748
OpenAlexW4210429987

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.