Evidence map›Paper›PMID 31374935›Full record

ReviewCancers2019

Cancer Cell Lines Are Useful Model Systems for Medical Research.

Peppino Mirabelli, Luigi Coppola, Marco Salvatore

Abstract readReview
In one paragraph

Review in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 168 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
168citing papers in PubMed, 3 pooled it
–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

168 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Unmasking the Metabolite Signature of Bladder Cancer: A Systematic Review.International journal of molecular sciences · 2024
    Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Study of Cytotoxicity of Pyrrolo[3,4-International journal of molecular sciences · 2026
    Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Modeling pediatric brain tumors with human stem cells.Frontiers in cellular neuroscience · 2026
    Review
  19. Review
  20. Article

108 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

3 authors.

Peppino MirabelliIRCCS SDN, 80143 Naples, Italy. pmirabelli@sdn-napoli.it.
Luigi CoppolaIRCCS SDN, 80143 Naples, Italy.
Marco SalvatoreIRCCS SDN, 80143 Naples, Italy.

Funding

IRCCS SDN 5 per MilleMinistero della Salute Progetti di Ricerca Corrente
6 · The paper itself

Abstract

Cell lines are in vitro model systems that are widely used in different fields of medical research, especially basic cancer research and drug discovery. Their usefulness is primarily linked to their ability to provide an indefinite source of biological material for experimental purposes. Under the right conditions and with appropriate controls, authenticated cancer cell lines retain most of the genetic properties of the cancer of origin. During the last few years, comparing genomic data of most cancer cell lines has corroborated this statement and those that were observed studying the tumoral tissue equivalents included in the The Cancer Genome Atlas (TCGA) database. We are at the disposal of comprehensive open access cell line datasets describing their molecular and cellular alterations at an unprecedented level of accuracy. This aspect, in association with the possibility of setting up accurate culture conditions that mimic the in vivo microenvironment (e.g., three-dimensional (3D) coculture), has strengthened the importance of cancer cell lines for continuing to sustain medical research fields. However, it is important to consider that the appropriate use of cell lines needs to follow established guidelines for guaranteed data reproducibility and quality, and to prevent the occurrence of detrimental events (i.e., those that are linked to cross-contamination and mycoplasma contamination).

Indexed as

biological samplescell linesleukemiamedical researchsolid cancer

Identifiers

PMID31374935
PMCPMC6721418

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.