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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2023Relationship between 233 colorectal cancer risk loci and survival in 1926 patients with advanced diseasecitations

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Houseman, Amy
1 / 1 shared
Cheadle, Jeremy
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Escott-Price, Valentina
1 / 1 shared
Houlston, Richard S.
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Fisher, David
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Maughan, Timothy S.
1 / 1 shared
Watts, Katie
1 / 1 shared
Wills, Christopher
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2023

Co-Authors (by relevance)

  • Houseman, Amy
  • Cheadle, Jeremy
  • Escott-Price, Valentina
  • Houlston, Richard S.
  • Fisher, David
  • Maughan, Timothy S.
  • Watts, Katie
  • Wills, Christopher
OrganizationsLocationPeople

article

Relationship between 233 colorectal cancer risk loci and survival in 1926 patients with advanced disease

  • Houseman, Amy
  • Cheadle, Jeremy
  • Escott-Price, Valentina
  • Houlston, Richard S.
  • West, Hannah D.
  • Fisher, David
  • Maughan, Timothy S.
  • Watts, Katie
  • Wills, Christopher
Abstract

<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Genome, transcriptome and methylome-wide association studies have identified single-nucleotide polymorphisms (SNPs) or genes at 258 loci associated with colorectal cancer (CRC) risk. We studied the relationship between these and patient outcome.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>We studied 1926 unrelated patients with advanced CRC from COIN and COIN-B. Of 205 CRC-risk SNPs, 19 were directly genotyped and 162 were imputed, and of 53 risk genes, 52 were tested. An additive Cox model for overall survival was adjusted for known prognostic factors. For nominally significant SNPs or genes, we considered a recessive model with a Bonferroni corrected threshold of <jats:italic>P</jats:italic> = 2.1 × 10<jats:sup>−4</jats:sup>. We examined SNPs as expression quantitative trait loci (eQTL) and the relationship between gene expression in colorectal tumours and survival in 597 unrelated patients.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Eleven SNPs or genes were nominally associated with survival under an additive model. Only rs117079142 mapping to <jats:italic>UTP23</jats:italic> and <jats:italic>EIF3H</jats:italic> (Hazard Ratio [HR] = 2.79, 95% Confidence Intervals [CI] = 1.70–4.58, <jats:italic>P</jats:italic> = 4.7 × 10<jats:sup>−5</jats:sup>) and rs9924886 mapping to <jats:italic>CDH1</jats:italic> and <jats:italic>CDH3</jats:italic> (HR = 1.24, 95% CI = 1.12–1.38, <jats:italic>P</jats:italic> = 5.2 × 10<jats:sup>−5</jats:sup>) passed the multiple testing threshold under a recessive model. rs117079142 was an eQTL for <jats:italic>UTP23</jats:italic> and rs9924886 for <jats:italic>CDH1</jats:italic>, <jats:italic>CDH3</jats:italic> and <jats:italic>ZFP90</jats:italic>. Decreased <jats:italic>CDH1</jats:italic> expression in CRCs was associated with worse survival (HR = 2.18, 95% CI = 1.3–3.5, <jats:italic>P</jats:italic> = 1.8 × 10<jats:sup>−3</jats:sup>).</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>rs117079142 and rs9924886 may represent potential prognostic biomarkers for CRC.</jats:p></jats:sec>

Topics
  • size-exclusion chromatography
  • chemical ionisation