Evidence map›Paper›PMID 21373201›Full record

ArticlePloS one2011

Genetic variability of the mTOR pathway and prostate cancer risk in the European Prospective Investigation on Cancer (EPIC).

Daniele Campa, Anika Hüsing, Angelika Stein, Lucie Dostal, Heiner Boeing, Tobias Pischon, Anne Tjønneland, Nina Roswall, Kim Overvad, Jane Nautrup Østergaard and 28 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 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 77 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

38 authors at 20 institutions in 10 countries.

Daniele CampaGerman Cancer Research Center (DKFZ), Heidelberg, Germany.
Anika Hüsing
Angelika Stein
Lucie Dostal
Heiner Boeing
Tobias Pischon
Anne Tjønneland
Nina Roswall
Kim Overvad
Jane Nautrup Østergaard
Laudina Rodríguez
Núria Sala
Maria-José Sánchez
Nerea Larrañaga
José María Huerta
Aurelio Barricarte
Kay-Tee Khaw
Nicholas Wareham
Ruth C Travis
Naomi E Allen
Pagona Lagiou
Antonia Trichopoulou
Dimitrios Trichopoulos
Domenico Palli
Sabina Sieri
Rosario Tumino
Carlotta Sacerdote
Henk van Kranen
H Bas Bueno-de-Mesquita
Göran Hallmans
Mattias Johansson
Isabelle Romieu
Mazda Jenab
David G Cox
Afshan Siddiq
Elio Riboli
Federico Canzian
Rudolf Kaaks
Centre International de Recherche sur le Cancer · FRGerman Cancer Research Center · DEHeidelberg University · DECentro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESDanish Cancer Society · DKGerman Institute of Human Nutrition · DEImperial College London · GBNational Institute for Public Health and the Environment · NLUniversity of Oxford · GBAalborg University Hospital · DKAarhus University · DKAndalusian School of Public Health · ESAzienda Usl 8 Arezzo · ITBasque Government · ESFondazione IRCCS Istituto Nazionale dei Tumori · ITHarvard University · USHellenic Health Foundation · GRInserm · FRInstitut d'Investigació Biomédica de Bellvitge · ESItalian institute for Genomic Medicine · IT

Funding

Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MC_U106179471
6 · The paper itself

Abstract

The mTOR (mammalian target of rapamycin) signal transduction pathway integrates various signals, regulating ribosome biogenesis and protein synthesis as a function of available energy and amino acids, and assuring an appropriate coupling of cellular proliferation with increases in cell size. In addition, recent evidence has pointed to an interplay between the mTOR and p53 pathways. We investigated the genetic variability of 67 key genes in the mTOR pathway and in genes of the p53 pathway which interact with mTOR. We tested the association of 1,084 tagging SNPs with prostate cancer risk in a study of 815 prostate cancer cases and 1,266 controls nested within the European Prospective Investigation into Cancer and Nutrition (EPIC). We chose the SNPs (n = 11) with the strongest association with risk (p<0.01) and sought to replicate their association in an additional series of 838 prostate cancer cases and 943 controls from EPIC. In the joint analysis of first and second phase two SNPs of the PRKCI gene showed an association with risk of prostate cancer (OR(allele) = 0.85, 95% CI 0.78-0.94, p = 1.3 x 10⁻³ for rs546950 and OR(allele) = 0.84, 95% CI 0.76-0.93, p = 5.6 x 10⁻⁴ for rs4955720). We confirmed this in a meta-analysis using as replication set the data from the second phase of our study jointly with the first phase of the Cancer Genetic Markers of Susceptibility (CGEMS) project. In conclusion, we found an association with prostate cancer risk for two SNPs belonging to PRKCI, a gene which is frequently overexpressed in various neoplasms, including prostate cancer.

Indexed as

Genetic VariationAgedCarcinomaCase-Control StudiesEuropeGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansIsoenzymesMaleMiddle AgedMulticenter Studies as TopicNeoplasmsProstatic NeoplasmsProtein Kinase CIsoenzymesMTOR protein, humanProtein Kinase CProtein Kinase C-lambdaTOR Serine-Threonine Kinases

Identifiers

PMID21373201
PMCPMC3044148
OpenAlexW2133956470

What Socratic 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 Socratic graph.