Evidence map›Paper›PMID 27993170›Full record

ReviewMolecular cancer2016

Choosing the right cell line for renal cell cancer research.

Klaudia K Brodaczewska, Cezary Szczylik, Michal Fiedorowicz, Camillo Porta, Anna M Czarnecka

Open access · goldAbstract readReview
In one paragraph

Review in Molecular cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 174 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
174citing papers in PubMed, 1 pooled it
10.6field-weighted citation impact, top 1% 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

174 citing papers in PubMed, 1 synthesis or guideline pooled it, 289 citations in OpenAlex.

  1. The cellular model for Alzheimer's disease research: PC12 cells.Frontiers in molecular neuroscience · 2022
    Pooled it
  2. Article
  3. Panitumumab-Based EGFR Blockade in SMARCB1-Deficient Renal Medullary Carcinoma: Preclinical Basis and Prospective Clinical Activity.Clinical cancer research : an official journal of the American Association for Cancer Research · 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. Drug repositioning of regorafenib for renal cell carcinoma identifiesThe Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2026
    Article
  16. SpecificTheranostics · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

114 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 2 countries.

Klaudia K BrodaczewskaDepartment of Oncology with Laboratory of Molecular Oncology, Military Institute of Medicine, Szaserow 128, 04-141, Warsaw, Poland.
Cezary SzczylikDepartment of Oncology with Laboratory of Molecular Oncology, Military Institute of Medicine, Szaserow 128, 04-141, Warsaw, Poland.
Michal FiedorowiczDepartment of Experimental Pharmacology, Polish Academy of Science Medical Research Centre, Warsaw, Poland.
Camillo PortaDepartment of Medical Oncology, IRCCS San Matteo University Hospital Foundation, Pavia, Italy.
Anna M CzarneckaDepartment of Oncology with Laboratory of Molecular Oncology, Military Institute of Medicine, Szaserow 128, 04-141, Warsaw, Poland. anna.czarnecka@gmail.com.
Polish Academy of Sciences · PLUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell lines are still a tool of choice for many fields of biomedical research, including oncology. Although cancer is a very complex disease, many discoveries have been made using monocultures of established cell lines. Therefore, the proper use of in vitro models is crucial to enhance our understanding of cancer. Therapeutics against renal cell cancer (RCC) are also screened with the use of cell lines. Multiple RCC in vitro cultures are available, allowing in vivo heterogeneity in the laboratory, but at the same time, these can be a source of errors. In this review, we tried to sum up the data on the RCC cell lines used currently. An increasing amount of data on RCC shed new light on the molecular background of the disease; however, it revealed how much still needs to be done. As new types of RCC are being distinguished, novel cell lines and the re-exploration of old ones seems to be indispensable to create effective in vitro tools for drug screening and more.

Indexed as

Models, BiologicalAntineoplastic AgentsCarcinoma, Renal CellCell Line, TumorDrug Screening Assays, AntitumorHumansKidney NeoplasmsAntineoplastic AgentsCell linesClear cell RCCIn vitro RCCPapillary RCCRenal cell cancer

Identifiers

PMID27993170
PMCPMC5168717
OpenAlexW2565408756

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.