Evidence map›Paper›PMID 22750915›Full record

ReviewBioengineered

Overcoming drug resistance in multi-drug resistant cancers and microorganisms: a conceptual framework.

Benjamin S Avner, Arsenio M Fialho, Ananda M Chakrabarty

Abstract readReview
In one paragraph

Review in Bioengineered. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Current advances in microbial-based cancer therapies.Medical oncology (Northwood, London, England) · 2023
    Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. The FnBPA from methicillin-resistantJournal of oral microbiology · 2022
    Article
  11. Review
  12. Chemical Composition and Antibacterial Activity ofMolecules (Basel, Switzerland) · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. First principles of Hamiltonian medicine.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2014
    Article
  17. Article
  18. Review
  19. 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

3 authors.

Benjamin S AvnerDepartment of Physiology and Biophysics, University of Illinois College of Medicine, Chicago, IL, USA.
Arsenio M Fialho
Ananda M Chakrabarty

Funding

RESEARCH TRAINING IN INFECTIOUS DISEASEST32AI007343 · NIAID · UNIVERSITY OF IOWA · PI STAPLETON, JACK T. · 1988 to 2024
$5.0M
NIAID NIH HHS T32 AI007343
6 · The paper itself

Abstract

Resistance development against multiple drugs is a common feature among many pathogens--including bacteria such as Pseudomonas aeruginosa, viruses, and parasites--and also among cancers. The reasons are two-fold. Most commonly-used rationally-designed small molecule drugs or monoclonal antibodies, as well as antibiotics, strongly inhibit a key single step in the growth and proliferation of the pathogen or cancer cells. The disease agents quickly change or switch off this single target, or activate the efflux mechanisms to pump out the drug, thereby becoming resistant to the drug. A second problem is the way drugs are designed. The pharmaceutical industry chooses to use, by high-throughput screening, compounds that are maximally inhibitory to the key single step in the growth of the pathogen or cancer, thereby promoting selective pressure. An ideal drug would be one that inhibits multiple steps in the disease progression pathways with less stringency in these steps. Low levels of inhibition at multiple steps provide cumulative strong inhibitory effect, but little incentives or ability on the part of the pathogen/cancer to develop resistance. Such intelligent drug design involving multiple less stringent inhibitory steps is beyond the scope of the drug industry and requires evolutionary wisdom commonly possessed by bacteria. This review surveys assessments of the current clinical situation with regard to drug resistance in P. aeruginosa, and examines tools currently employed to limit this trend. We then provide a conceptual framework in which we explore the similarities between multi-drug resistance in pathogens and in cancers. We summarize promising work on anti-cancer drugs derived from the evolutionary wisdom of bacteria such as P. aeruginosa, and how such strategies can be the basis for how to look for candidate protein/peptide antibiotic drugs from bioengineered bugs. Such multi-domain proteins, unlike diffusible antibiotics, are not diffusible because of their large size and are often released only on contact with the perceived competitor. Thus, multi-domain proteins are missed during traditional methods of looking for growth zone inhibition of susceptible bacteria as demonstrated by antibiotics, but may represent the weapons of the future in the fights against both drug-resistant cancers and pathogens such as P. aeruginosa.

Indexed as

Anti-Bacterial AgentsAntineoplastic AgentsBiological EvolutionDrug DesignDrug Resistance, Multiple, BacterialDrug Resistance, NeoplasmGenetic EngineeringHigh-Throughput Screening AssaysHumansNeoplasmsProteinsProtein Structure, TertiaryPseudomonas aeruginosaPseudomonas InfectionsAnti-Bacterial AgentsAntineoplastic AgentsProteins

Identifiers

PMID22750915
PMCPMC3477693

What OpenQuestion holds

Textmetadata
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.