Evidence map›Paper›PMID 27669965›Full record

ReviewCurrent pharmaceutical design2016

Polypharmacology in Precision Oncology: Current Applications and Future Prospects.

Albert A Antolin, Paul Workman, Jordi Mestres, Bissan Al-Lazikani

Open access · greenAbstract readReview
In one paragraph

Review in Current pharmaceutical design, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

45 citing papers in PubMed, 93 citations in OpenAlex.

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  10. Frontiers in pharmacology · 2025
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  11. The role of SIRT1 in the development of gastrointestinal tumors.Frontiers in cell and developmental biology · 2025
    Review
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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

4 authors at 1 institution in 1 country.

Albert A AntolinDivision of Cancer Therapeutics, The Institute of Cancer Research, London, United Kingdom.
Paul Workman
Jordi Mestres
Bissan Al-Lazikani
Institute of Cancer Research · GB

Funding

Cancer Research UK 11566Cancer Research UK C309/A8725
6 · The paper itself

Abstract

Over the past decade, a more comprehensive, large-scale approach to studying cancer genetics and biology has revealed the challenges of tumor heterogeneity, adaption, evolution and drug resistance, while systems-based pharmacology and chemical biology strategies have uncovered a much more complex interaction between drugs and the human proteome than was previously anticipated. In this mini-review we assess the progress and potential of drug polypharmacology in biomarker-driven precision oncology. Polypharmacology not only provides great opportunities for drug repurposing to exploit off-target effects in a new single-target indication but through simultaneous blockade of multiple targets or pathways offers exciting opportunities to slow, overcome or even prevent inherent or adaptive drug resistance. We highlight the many challenges associated with exploiting known or desired polypharmacology in drug design and development, and assess computational and experimental methods to uncover unknown polypharmacology. A comprehensive understanding of the intricate links between polypharmacology, efficacy and safety is urgently needed if we are to tackle the enduring challenge of cancer drug resistance and to fully exploit polypharmacology for the ultimate benefit of cancer patients.

Indexed as

Medical OncologyPolypharmacologyAntineoplastic AgentsDrug RepositioningDrug Resistance, NeoplasmHumansNeoplasmsAntineoplastic Agentsbiomarkermulti-target drug design.off-targetPolypharmacologyprecision oncologyside-effectssystems pharmacologytarget profiling

Identifiers

PMID27669965
PMCPMC5403974
OpenAlexW2527122351

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.