Evidence map›Paper›PMID 27824084›Full record

ArticleScientific reports2016

Systematic Analysis of Drug Targets Confirms Expression in Disease-Relevant Tissues.

Vinod Kumar, Philippe Sanseau, Daniel F Simola, Mark R Hurle, Pankaj Agarwal

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Machine Learning in Drug Discovery: A Review.Artificial intelligence review · 2022
    Article
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  9. Article
  10. Review
  11. Article
  12. Article
  13. Designing Cell-Permeable Macrocyclic Peptides.Methods in molecular biology (Clifton, N.J.) · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Article
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

5 authors.

Vinod KumarComputational Biology, GlaxoSmithKline, 709 Swedeland Road, King of Prussia, PA 19406, USA.
Philippe SanseauComputational Biology, GlaxoSmithKline, Gunnels Wood Road, Stevenage, SG1 2NY, UK.
Daniel F SimolaComputational Biology, GlaxoSmithKline, 709 Swedeland Road, King of Prussia, PA 19406, USA.
Mark R HurleComputational Biology, GlaxoSmithKline, 709 Swedeland Road, King of Prussia, PA 19406, USA.
Pankaj AgarwalComputational Biology, GlaxoSmithKline, 709 Swedeland Road, King of Prussia, PA 19406, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is commonly assumed that drug targets are expressed in tissues relevant to their indicated diseases, even under normal conditions. While multiple anecdotal cases support this hypothesis, a comprehensive study has not been performed to verify it. We conducted a systematic analysis to assess gene and protein expression for all targets of marketed and phase III drugs across a diverse collection of normal human tissues. For 87% of gene-disease pairs, the target is expressed in a disease-affected tissue under healthy conditions. This result validates the importance of confirming expression of a novel drug target in an appropriate tissue for each disease indication and strengthens previous findings showing that targets of efficacious drugs should be expressed in relevant tissues under normal conditions. Further characterization of the remaining 13% of gene-disease pairs revealed that most genes are expressed in a different tissue linked to another disease. Our analysis demonstrates the value of extensive tissue specific expression resources.both in terms of tissue and cell diversity as well as techniques used to measure gene expression.

Indexed as

Clinical Trials, Phase III as TopicGene Expression ProfilingGene Regulatory NetworksGenetic Predisposition to DiseaseHumansMolecular Targeted TherapyOligonucleotide Array Sequence AnalysisOrgan SpecificityProteomics

Identifiers

PMID27824084
PMCPMC5099936

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Registered trials

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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.