Evidence map›Paper›PMID 22724067›Full record

ReviewOpen biology2012

Cancer drug pan-resistance: pumps, cancer stem cells, quiescence, epithelial to mesenchymal transition, blocked cell death pathways, persisters or what?

Piet Borst

Abstract readReview
In one paragraph

Review in Open biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers.

0numbers the graph read from it
0cells of the map it votes in
95citing 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

95 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Clinical [Cancers · 2024
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. New mechanisms of multidrug resistance: an introduction to theCancer drug resistance (Alhambra, Calif.) · 2023
    Article
  18. Article
  19. Article
  20. Article

35 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

1 author.

Piet BorstMolecular Oncology , NKI-AVL , Plesmanlaan 121, Amsterdam, The Netherlands. p.borst@nki.nl

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although chemotherapy of tumours has scored successes, drug resistance remains the major cause of death of cancer patients. Initial treatment often leaves residual disease, from which the tumour regrows. Eventually, most tumours become resistant to all available chemotherapy. I call this pan-resistance to distinguish it from multi-drug resistance, usually describing resistance caused by upregulation of drug transporters, such as P-glycoprotein. In this review, I discuss mechanisms proposed to explain both residual disease and pan-resistance. Although plausible explanations are at hand for residual disease, pan-resistance is still a mystery. My conclusion is that it is time for a major effort to solve this mystery using the new genetically modified mouse tumour models that produce real tumours resembling cancer in human patients.

Indexed as

Models, BiologicalAnimalsAntineoplastic AgentsATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily B, Member 1Biological AvailabilityBlood-Brain BarrierCell CycleCell DeathChromatin Assembly and DisassemblyClonal EvolutionDNA, NeoplasmDNA RepairDrug Resistance, NeoplasmEpigenesis, GeneticEpithelial-Mesenchymal TransitionAntineoplastic AgentsATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily B, Member 1DNA, NeoplasmNeoplasm Proteinsdrug resistanceepithelial to mesenchymal transitionmulti-drug resistancepan-resistancepersistersresidual disease

Identifiers

PMID22724067
PMCPMC3376736

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.