Evidence map›Paper›PMID 27708556›Full record

ReviewClinical proteomics2016

Precision medicine: from pharmacogenomics to pharmacoproteomics.

Allison B Chambliss, Daniel W Chan

Abstract readReview
In one paragraph

Review in Clinical proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Frontiers in pharmacology · 2025
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Observational
  12. Biomarkers: Delivering on the expectation of molecularly driven, quantitative health.Experimental biology and medicine (Maywood, N.J.) · 2018
    Review
  13. Article
  14. Article
  15. Article
  16. Historical root of precision medicine: an ancient concept concordant with the modern pharmacotherapy.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2017
    Article
  17. Article
  18. 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

2 authors.

Allison B ChamblissDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21287 USA ; Department of Pathology, Keck School of Medicine of USC, Los Angeles, CA 90033 USA.
Daniel W ChanDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21287 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disease progression and drug response may vary significantly from patient to patient. Fortunately, the rapid development of high-throughput 'omics' technologies has allowed for the identification of potential biomarkers that may aid in the understanding of the heterogeneities in disease development and treatment outcomes. However, mechanistic gaps remain when the genome or the proteome are investigated independently in response to drug treatment. In this article, we discuss the current status of pharmacogenomics in precision medicine and highlight the needs for concordant analysis at the proteome and metabolome levels via the more recently-evolved fields of pharmacoproteomics, toxicoproteomics, and pharmacometabolomics. Integrated 'omics' investigations will be critical in piecing together targetable mechanisms of action for both drug development and monitoring of therapy in order to fully apply precision medicine to the clinic.

Indexed as

BiomarkerPharmacogenomicsPrecision medicineProteomics

Identifiers

PMID27708556
PMCPMC5037608

What Socratic 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 Socratic graph.