Evidence map›Paper›PMID 18689832›Full record

ArticleBioinformatics (Oxford, England)2008

Gain and loss of phosphorylation sites in human cancer.

Predrag Radivojac, Peter H Baenziger, Maricel G Kann, Matthew E Mort, Matthew W Hahn, Sean D Mooney

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Article
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  3. Review
  4. A Novel Missense Variant ofHuman mutation · 2025
    Article
  5. Review
  6. Functional Phosphoproteomics in Cancer Chemoresistance Using CRISPR-Mediated Base Editors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
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  18. Review
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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

6 authors.

Predrag RadivojacSchool of Informatics, Indiana University, 901 East Tenth Street, Bloomington, IN 47408, USA.
Peter H Baenziger
Maricel G Kann
Matthew E Mort
Matthew W Hahn
Sean D Mooney

Funding

Informatic Profiling of Clinically Relevant MutationR01LM009722 · NLM · UNIVERSITY OF WASHINGTON · PI MOONEY, SEAN DAVID · 2007 to 2014
$3.5M
Nucleotide polymorphisms responsible for expression variation in DrosophilaR01GM076643 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NUZHDIN, SERGEY V · 2006 to 2009
$1.2M
ESTROGEN BIOSYNTHESIS AND UTERINE LEIOMYOMATAR01HD046260 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BULUN, SERDAR E · 2003 to 2007
$1.2M
Bioinformatics approaches to characterizing amino acid function.K22LM009135 · NLM · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI MOONEY, SEAN DAVID · 2006 to 2008
$465k
NICHD NIH HHS R01 HD046260NIGMS NIH HHS R01 GM076643NLM NIH HHS K22 LM009135NLM NIH HHS K22LM009135NLM NIH HHS R01 LM009722NLM NIH HHS R01LM009722
6 · The paper itself

Abstract

motivationCoding-region mutations in human genes are responsible for a diverse spectrum of diseases and phenotypes. Among lesions that have been studied extensively, there are insights into several of the biochemical functions disrupted by disease-causing mutations. Currently, there are more than 60 000 coding-region mutations associated with inherited disease catalogued in the Human Gene Mutation Database (HGMD, August 2007) and more than 70 000 polymorphic amino acid substitutions recorded in dbSNP (dbSNP, build 127). Understanding the mechanism and contribution these variants make to a clinical phenotype is a formidable problem.

resultsIn this study, we investigate the role of phosphorylation in somatic cancer mutations and inherited diseases. Somatic cancer mutation datasets were shown to have a significant enrichment for mutations that cause gain or loss of phosphorylation when compared to our control datasets (putatively neutral nsSNPs and random amino acid substitutions). Of the somatic cancer mutations, those in kinase genes represent the most enriched set of mutations that disrupt phosphorylation sites, suggesting phosphorylation target site mutation is an active cause of phosphorylation deregulation. Overall, this evidence suggests both gain and loss of a phosphorylation site in a target protein may be important features for predicting cancer-causing mutations and may represent a molecular cause of disease for a number of inherited and somatic mutations.

Indexed as

DNA Mutational AnalysisGenetic VariationHumansNeoplasm ProteinsNeoplasmsPhosphorylationPhosphotransferasesPolymorphism, Single NucleotideNeoplasm ProteinsPhosphotransferases

Identifiers

PMID18689832
PMCPMC2732209

What OpenQuestion holds

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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.