Evidence map›Paper›PMID 24608425›Full record

ReviewOncogene2015

Application of molecular technologies for phosphoproteomic analysis of clinical samples.

M Pierobon, J Wulfkuhle, L Liotta, E Petricoin

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Oncogene, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05338060 (A Systems Approach to Immunotherapy Biomarker Identification Within the Postoperative Wound-Healing Microenvironment in Patients With Gastroesophageal Cancer), which is not on this map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
6.5field-weighted citation impact, top 2% 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.

NCT05338060 completednot on this mapstarted 2022, after this paper: background citation

A Systems Approach to Immunotherapy Biomarker Identification Within the Postoperative Wound-Healing Microenvironment in Patients With Gastroesophageal Cancer

TypeobservationalSponsorInova Health Care ServicesRan2022 to 2025Enrolled10ConditionsGastroEsophageal CancerArmsprospective collection of surgical exudates (SEs)
3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 69 citations in OpenAlex.

  1. Mass spectrometry-based phosphoproteomics in clinical applications.Trends in analytical chemistry : TRAC · 2023
    Article
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  3. Review
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  10. Drug repurposing for the treatment of glioblastoma multiforme.Journal of experimental & clinical cancer research : CR · 2017
    Review
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  15. Review
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  18. The Landscape of Pancreatic Cancer Therapeutic Resistance Mechanisms.International journal of biological sciences · 2016
    Review
  19. Article
  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 at 1 institution in 1 country.

M PierobonCenter for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA.
J WulfkuhleCenter for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA.
L LiottaCenter for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA.
E PetricoinCenter for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA.
George Mason University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of small kinase inhibitors and monoclonal antibodies into oncological practice has opened a new paradigm for treating cancer patients. As proteins are the direct targets of the new generations of targeted therapeutics, many of which are kinase/enzymatic inhibitors, there is an increasing interest in developing technologies capable of monitoring post-translational changes of the human proteome for the identification of new predictive, prognostic and therapeutic biomarkers. It is well known that the vast majority of the activation/deactivation of these drug targets is driven by phosphorylation. This review provides a description of the main proteomic platforms (planar and bead array, reverse phase protein microarray, phosphoflow, AQUA and mass spectrometry) that have successfully been used for measuring changes in phosphorylation level of drug targets and downstream substrates using clinical specimens. Major emphasis was given to the strengths and weaknesses of the different platforms and to the major barriers that are associated with the analysis of the phosphoproteome. Finally, a number of examples of application of the above-mentioned technologies in the clinical setting are reported.

Indexed as

Drug Delivery SystemsPhosphoproteinsProtein Processing, Post-TranslationalProteomeProteomicsBiomarkersHumansPhosphorylationBiomarkersPhosphoproteinsProteome

Identifiers

PMID24608425
OpenAlexW1995219023

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.