Evidence map›Paper›PMID 29427919›Full record

ReviewCurrent opinion in biotechnology2018

The building blocks of successful translation of proteomics to the clinic.

Paul Kearney, J Jay Boniface, Nathan D Price, Leroy Hood

Abstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. The Role of Clinical Glyco(proteo)mics in Precision Medicine.Molecular & cellular proteomics : MCP · 2023
    Article
  7. Article
  8. Biomarkers of aging.Science China. Life sciences · 2023
    Review
  9. A dual-binding magnetic immunoassay to predict spontaneous preterm birth.Frontiers in bioengineering and biotechnology · 2023
    Article
  10. Article
  11. Clinical Proteomics of Biofluids in Haematological Malignancies.International journal of molecular sciences · 2021
    Review
  12. Review
  13. Article
  14. Observational
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

4 authors.

Paul KearneyIntegrated Diagnostics, Seattle, WA, United States.
J Jay BonifaceSera Prognostics, Salt Lake City, UT, United States.
Nathan D PriceInstitute for Systems Biology, Seattle, WA, United States.
Leroy HoodInstitute for Systems Biology, Seattle, WA, United States. Electronic address: lhood@systemsbiology.org.

Funding

Quantitative Systems BiologyP50GM076547 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI BALIGA, NITIN S · 2006 to 2016
$30.6M
Harnessing "omics": A Systems Biology approach to discovery of biologicalpathways in placental development and parturitionR01HD091527 · NICHD · UNIVERSITY OF FLORIDA · PI BALONI, PRIYANKA, JONES, HELEN N · 2017 to 2021
$2.7M
Hardwiring Mechanism into Predicting Cancer Phenotypes by Computational LearningR01CA200859 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI MARCHIONNI, LUIGI · 2016 to 2020
$1.9M
NCI NIH HHS R01 CA200859NICHD NIH HHS R01 HD091527NIGMS NIH HHS P50 GM076547
6 · The paper itself

Abstract

Recently, the first two multiplexed tests using selective reaction monitoring (SRM-MS) mass spectrometry have entered clinical practice. Despite different areas of indication, risk stratification in lung cancer and preterm birth, they share multiple steps in their development strategies. Here we review these strategies and their implications for successful translation of biomarkers to clinical practice. We believe that the identification of blood protein panels for the identification of disease phenotypes is now a reproducible and standard (albeit complex) process.

Indexed as

BiomarkersBlood ProteinsHumansNeoplasmsPrecision MedicineProteomicsBiomarkersBlood Proteins

Identifiers

PMID29427919
PMCPMC6091638

What OpenQuestion 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 OpenQuestion graph.