Evidence map›Paper›PMID 22781697›Full record

ReviewNature biotechnology2012

Combinatorial drug therapy for cancer in the post-genomic era.

Bissan Al-Lazikani, Udai Banerji, Paul Workman

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 487 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
487citing 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

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

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  12. Integrating multi-omics data for next-generation cancer research and precision medicine.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
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427 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.

Bissan Al-LazikaniCancer Research UK Cancer Therapeutics Unit, Division of Cancer Therapeutics, The Institute of Cancer Research, Haddow Laboratories, Sutton, UK. bissan.al-lazikani@icr.ac.uk
Udai Banerji
Paul Workman

Funding

Cancer Research UK 11566Cancer Research UK C309/8992Cancer Research UK C309/A8274Department of Health
6 · The paper itself

Abstract

Over the past decade, whole genome sequencing and other 'omics' technologies have defined pathogenic driver mutations to which tumor cells are addicted. Such addictions, synthetic lethalities and other tumor vulnerabilities have yielded novel targets for a new generation of cancer drugs to treat discrete, genetically defined patient subgroups. This personalized cancer medicine strategy could eventually replace the conventional one-size-fits-all cytotoxic chemotherapy approach. However, the extraordinary intratumor genetic heterogeneity in cancers revealed by deep sequencing explains why de novo and acquired resistance arise with molecularly targeted drugs and cytotoxic chemotherapy, limiting their utility. One solution to the enduring challenge of polygenic cancer drug resistance is rational combinatorial targeted therapy.

Indexed as

Drug DesignMolecular Targeted TherapyAntineoplastic Combined Chemotherapy ProtocolsClinical Trials as TopicCombined Modality TherapyGenetic HeterogeneityGenome, HumanHigh-Throughput Nucleotide SequencingHumansMetabolic Networks and PathwaysNeoplasmsPrecision Medicine

Identifiers

PMID22781697

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.