Evidence map›Paper›PMID 26517685›Full record

ArticleOncotarget2015

Germ-line variants identified by next generation sequencing in a panel of estrogen and cancer associated genes correlate with poor clinical outcome in Lynch syndrome patients.

Balazs Jóri, Rick Kamps, Sofia Xanthoulea, Bert Delvoux, Marinus J Blok, Koen K Van de Vijver, Bart de Koning, Felicia Trups Oei, Carli M Tops, Ernst Jm Speel and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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.

Balazs JóriDepartment of Gynecology and Obstetrics, GROW - School for Oncology & Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Rick KampsDepartment of Clinical Genetics, Genomics & Bioinformatics, CARIM - School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, The Netherlands.
Sofia XanthouleaDepartment of Gynecology and Obstetrics, GROW - School for Oncology & Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Bert DelvouxDepartment of Gynecology and Obstetrics, GROW - School for Oncology & Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Marinus J BlokDepartment of Clinical Genetics, GROW - School for Oncology & Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Koen K Van de VijverDepartment of Pathology, GROW - School for Oncology & Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Bart de KoningDepartment of Clinical Genetics, GROW - School for Oncology & Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Felicia Trups OeiDepartment of Clinical Genetics, GROW - School for Oncology & Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Carli M TopsDepartment of Clinical Genetics, Leiden University Medical Centre, Leiden, The Netherlands.
Ernst Jm SpeelDepartment of Pathology, GROW - School for Oncology & Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Roy F KruitwagenDepartment of Gynecology and Obstetrics, GROW - School for Oncology & Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Encarna B Gomez-GarciaDepartment of Clinical Genetics, GROW - School for Oncology & Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Andrea RomanoDepartment of Gynecology and Obstetrics, GROW - School for Oncology & Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Maastricht University Medical Centre · NLLeiden University Medical Center · NL

Funding

Comprehensive Sequencing and Analysis of Variation in NHLBI CohortsUC2HL102925 · NHLBI · BROAD INSTITUTE, INC. · PI ALTSHULER, DAVID, GABRIEL, STACEY · 2010 to 2010
$14.7M
Northwest Genomics CenterUC2HL102926 · NHLBI · UNIVERSITY OF WASHINGTON · PI GREEN, PHILIP P, NICKERSON, DEBORAH A · 2010 to 2010
$14.0M
Northwest Genomics CenterRC2HL102926 · NHLBI · UNIVERSITY OF WASHINGTON · PI GREEN, PHILIP P, NICKERSON, DEBORAH A · 2009 to 2009
$11.0M
Comprehensive Sequencing and Analysis of Variation in NHLBI CohortsRC2HL102925 · NHLBI · BROAD INSTITUTE, INC. · PI ALTSHULER, DAVID, GABRIEL, STACEY · 2009 to 2009
$10.2M
ARRA - NHLBI Lung Cohorts Sequencing ProjectRC2HL102923 · NHLBI · UNIVERSITY OF WASHINGTON · PI BAMSHAD, MICHAEL JOSEPH, BARNES, KATHLEEN C · 2009 to 2009
$2.6M
ARRA - NHLBI Lung Cohorts Sequencing ProjectUC2HL102923 · NHLBI · UNIVERSITY OF WASHINGTON · PI BAMSHAD, MICHAEL JOSEPH, BARNES, KATHLEEN C · 2010 to 2010
$2.6M
WHI Sequencing Project (WHISP)UC2HL102924 · NHLBI · OHIO STATE UNIVERSITY · PI CARLSON, CHRISTOPHER S, JACKSON, REBECCA D · 2010 to 2010
$2.4M
WHI Sequencing Project (WHISP)RC2HL102924 · NHLBI · OHIO STATE UNIVERSITY · PI CARLSON, CHRISTOPHER S, JACKSON, REBECCA D · 2009 to 2009
$2.1M
Human Exome Sequencing in Six Well-Phenotyped NHLBI CohortsUC2HL103010 · NHLBI · UNIVERSITY OF VIRGINIA · PI RICH, STEPHEN S. · 2010 to 2010
$1.5M
Human Exome Sequencing in Six Well-Phenotyped NHLBI CohortsRC2HL103010 · NHLBI · UNIVERSITY OF VIRGINIA · PI RICH, STEPHEN S. · 2009 to 2009
$817k
NHLBI NIH HHS HL-102923NHLBI NIH HHS HL-102924NHLBI NIH HHS HL-102925NHLBI NIH HHS HL-102926NHLBI NIH HHS HL-103010NHLBI NIH HHS RC2 HL102923NHLBI NIH HHS RC2 HL102924NHLBI NIH HHS RC2 HL102925NHLBI NIH HHS RC2 HL102926NHLBI NIH HHS RC2 HL103010NHLBI NIH HHS UC2 HL102923NHLBI NIH HHS UC2 HL102924NHLBI NIH HHS UC2 HL102925NHLBI NIH HHS UC2 HL102926NHLBI NIH HHS UC2 HL103010
6 · The paper itself

Abstract

backgroundThe risk to develop colorectal and endometrial cancers among subjects testing positive for a pathogenic Lynch syndrome mutation varies, making the risk prediction difficult. Genetic risk modifiers alter the risk conferred by inherited Lynch syndrome mutations, and their identification can improve genetic counseling. We aimed at identifying rare genetic modifiers of the risk of Lynch syndrome endometrial cancer.

methodsA family based approach was used to assess the presence of genetic risk modifiers among 35 Lynch syndrome mutation carriers having either a poor clinical phenotype (early age of endometrial cancer diagnosis or multiple cancers) or a neutral clinical phenotype. Putative genetic risk modifiers were identified by Next Generation Sequencing among a panel of 154 genes involved in endometrial physiology and carcinogenesis.

resultsA simple pipeline, based on an allele frequency lower than 0.001 and on predicted non-conservative amino-acid substitutions returned 54 variants that were considered putative risk modifiers. The presence of two or more risk modifying variants in women carrying a pathogenic Lynch syndrome mutation was associated with a poor clinical phenotype.

conclusionA gene-panel is proposed that comprehends genes that can carry variants with putative modifying effects on the risk of Lynch syndrome endometrial cancer. Validation in further studies is warranted before considering the possible use of this tool in genetic counseling.

Indexed as

Germ-Line MutationAdultAgedAged, 80 and overColorectal Neoplasms, Hereditary NonpolyposisEndometrial NeoplasmsEstrogensFemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHigh-Throughput Nucleotide SequencingHumansImmunohistochemistryKaplan-Meier EstimateMiddle AgedEstrogensendometrial cancerestrogensgenetic risk modifierLynch syndromenext generation sequencing

Identifiers

PMID26517685
PMCPMC4747393
OpenAlexW2220295147

What OpenQuestion holds

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LicenceCC BY
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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.