Evidence map›Paper›PMID 32092671›Full record

ReviewTranslational oncology2020

Choosing The Right Animal Model for Renal Cancer Research.

Paweł Sobczuk, Anna Brodziak, Mohammed Imran Khan, Stuti Chhabra, Michał Fiedorowicz, Marlena Wełniak-Kamińska, Kamil Synoradzki, Ewa Bartnik, Agnieszka Cudnoch-Jędrzejewska, Anna M Czarnecka

Open access · goldAbstract readReview
In one paragraph

Review in Translational oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

34 citing papers in PubMed, 72 citations in OpenAlex.

  1. Article
  2. Review
  3. SpecificTheranostics · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Endoplasmic Reticulum Stress in Renal Cell Carcinoma.International journal of molecular sciences · 2023
    Review
  19. Noninvasive detection of any-stage cancer using free glycosaminoglycans.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  20. 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

10 authors at 6 institutions in 3 countries.

Paweł SobczukDepartment of Experimental and Clinical Physiology, Laboratory of Centre for Preclinical Research, Medical University of Warsaw, Warsaw, Poland; Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland. Electronic address: pawel.sobczuk@interia.pl.
Anna BrodziakDepartment of Experimental and Clinical Physiology, Laboratory of Centre for Preclinical Research, Medical University of Warsaw, Warsaw, Poland; Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland. Electronic address: anbrodziak@gmail.com.
Mohammed Imran KhanDepartment of Otolaryngology - Head & Neck Surgery, Western University, London, Ontario, Canada. Electronic address: imrankhanbioinfo@gmail.com.
Stuti ChhabraDepartment of Biochemistry, CSIR-Central Drug Research Institute, Lucknow, India. Electronic address: chhabrastuti@gmail.com.
Michał FiedorowiczDepartment of Experimental Pharmacology, Mossakowski Medical Research Centre Polish Academy of Sciences, 5 Pawinskiego Str., Warsaw, Poland. Electronic address: mfiedorowicz@imdik.pan.pl.
Marlena Wełniak-KamińskaDepartment of Experimental Pharmacology, Mossakowski Medical Research Centre Polish Academy of Sciences, 5 Pawinskiego Str., Warsaw, Poland. Electronic address: marlenak@imdik.pan.pl.
Kamil SynoradzkiDepartment of Experimental Pharmacology, Mossakowski Medical Research Centre Polish Academy of Sciences, 5 Pawinskiego Str., Warsaw, Poland. Electronic address: ksynoradzki@imdik.pan.pl.
Ewa BartnikInstitute of Genetics and Biotechnology, Faculty of Biology, University of Warsaw, Warsaw, Poland. Electronic address: ewambartnik@gmail.com.
Agnieszka Cudnoch-JędrzejewskaDepartment of Experimental and Clinical Physiology, Laboratory of Centre for Preclinical Research, Medical University of Warsaw, Warsaw, Poland. Electronic address: agnieszka.cudnoch@wum.edu.pl.
Anna M CzarneckaMaria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland; Department of Experimental Pharmacology, Mossakowski Medical Research Centre Polish Academy of Sciences, 5 Pawinskiego Str., Warsaw, Poland. Electronic address: amczarnecka@imdik.pan.pl.
Medical University of Warsaw · PLMossakowski Medical Research Institute, Polish Academy of Sciences · PLCentral Drug Research Institute · INThe Maria Sklodowska-Curie National Research Institute of Oncology · PLUniversity of Warsaw · PLWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increase in the life expectancy of patients with renal cell carcinoma (RCC) in the last decade is due to changes that have occurred in the area of preclinical studies. Understanding cancer pathophysiology and the emergence of new therapeutic options, including immunotherapy, would not be possible without proper research. Before new approaches to disease treatment are developed and introduced into clinical practice they must be preceded by preclinical tests, in which animal studies play a significant role. This review describes the progress in animal model development in kidney cancer research starting from the oldest syngeneic or chemically-induced models, through genetically modified mice, finally to xenograft, especially patient-derived, avatar and humanized mouse models. As there are a number of subtypes of RCC, our aim is to help to choose the right animal model for a particular kidney cancer subtype. The data on genetic backgrounds, biochemical parameters, histology, different stages of carcinogenesis and metastasis in various animal models of RCC as well as their translational relevance are summarized. Moreover, we shed some light on imaging methods, which can help define tumor microstructure, assist in the analysis of its metabolic changes and track metastasis development.

Identifiers

PMID32092671
PMCPMC7036425
OpenAlexW3008419966

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.