Evidence map›Paper›PMID 22039492›Full record

ArticlePloS one2011

Identification of direct target engagement biomarkers for kinase-targeted therapeutics.

Cloud P Paweletz, Jannik N Andersen, Roy Pollock, Kumiko Nagashima, Mansuo L Hayashi, Shangshuan U Yu, Hongbo Guo, Ekaterina V Bobkova, Zangwei Xu, Alan Northrup and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 16% 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.

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

10 citing papers in PubMed, 29 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Cloud P PaweletzMerck & Co., Inc., Boston, Massachusetts, United States of America.
Jannik N Andersen
Roy Pollock
Kumiko Nagashima
Mansuo L Hayashi
Shangshuan U Yu
Hongbo Guo
Ekaterina V Bobkova
Zangwei Xu
Alan Northrup
Peter Blume-Jensen
Ronald C Hendrickson
An Chi
Merck & Co., Inc., Rahway, NJ, USA (United States) · USUnited States Military Academy · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacodynamic (PD) biomarkers are an increasingly valuable tool for decision-making and prioritization of lead compounds during preclinical and clinical studies as they link drug-target inhibition in cells with biological activity. They are of particular importance for novel, first-in-class mechanisms, where the ability of a targeted therapeutic to impact disease outcome is often unknown. By definition, proximal PD biomarkers aim to measure the interaction of a drug with its biological target. For kinase drug discovery, protein substrate phosphorylation sites represent candidate PD biomarkers. However, substrate phosphorylation is often controlled by input from multiple converging pathways complicating assessment of how potently a small molecule drug hits its target based on substrate phoshorylation measurements alone. Here, we report the use of quantitative, differential mass-spectrometry to identify and monitor novel drug-regulated phosphorylation sites on target kinases. Autophosphorylation sites constitute clinically validated biomarkers for select protein tyrosine kinase inhibitors. The present study extends this principle to phosphorylation sites in serine/threonine kinases looking beyond the T-loop autophosphorylation site. Specifically, for the 3'-phosphoinositide-dependent protein kinase 1 (PDK1), two phospho-residues p-PDK1(Ser410) and p-PDK1(Thr513) are modulated by small-molecule PDK1 inhibitors, and their degree of dephosphorylation correlates with inhibitor potency. We note that classical, ATP-competitive PDK1 inhibitors do not modulate PDK1 T-loop phosphorylation (p-PDK1(Ser241)), highlighting the value of an unbiased approach to identify drug target-regulated phosphorylation sites as these are complementary to pathway PD biomarkers. Finally, we extend our analysis to another protein Ser/Thr kinase, highlighting a broader utility of our approach for identification of kinase drug-target engagement biomarkers.

Indexed as

Amino Acid SequenceBiocatalysisBiomarkersCell LineHumansMolecular Sequence DataPhosphorylationPhosphotransferasesProtein Kinase InhibitorsTandem Mass SpectrometryBiomarkersPhosphotransferasesProtein Kinase Inhibitors

Identifiers

PMID22039492
PMCPMC3200335
OpenAlexW2144668530

What OpenQuestion holds

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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.