Evidence map›Paper›PMID 26375816›Full record

ArticlePloS one2015

High Prevalence and Clinical Relevance of Genes Affected by Chromosomal Breaks in Colorectal Cancer.

Evert van den Broek, Maurits J J Dijkstra, Oscar Krijgsman, Daoud Sie, Josien C Haan, Joleen J H Traets, Mark A van de Wiel, Iris D Nagtegaal, Cornelis J A Punt, Beatriz Carvalho and 4 more

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Evert van den BroekDepartment of Pathology, VU University Medical Center, Amsterdam, The Netherlands.
Maurits J J DijkstraDepartment of Computer Science, VU University, Amsterdam, The Netherlands.
Oscar KrijgsmanDepartment of Pathology, VU University Medical Center, Amsterdam, The Netherlands.
Daoud SieDepartment of Pathology, VU University Medical Center, Amsterdam, The Netherlands.
Josien C HaanDepartment of Pathology, VU University Medical Center, Amsterdam, The Netherlands.
Joleen J H TraetsDepartment of Pathology, VU University Medical Center, Amsterdam, The Netherlands.
Mark A van de WielDepartment of Epidemiology & Biostatistics, VU University Medical Center, Amsterdam, The Netherlands; Department of Mathematics, VU University, Amsterdam, The Netherlands.
Iris D NagtegaalDepartment of Pathology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands.
Cornelis J A PuntDepartment of Medical Oncology, Academic Medical Center, Amsterdam, The Netherlands.
Beatriz CarvalhoDepartment of Pathology, VU University Medical Center, Amsterdam, The Netherlands.
Bauke YlstraDepartment of Pathology, VU University Medical Center, Amsterdam, The Netherlands.
Sanne AbelnDepartment of Computer Science, VU University, Amsterdam, The Netherlands.
Gerrit A MeijerDepartment of Pathology, VU University Medical Center, Amsterdam, The Netherlands.
Remond J A FijnemanDepartment of Pathology, VU University Medical Center, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer is caused by somatic DNA alterations such as gene point mutations, DNA copy number aberrations (CNA) and structural variants (SVs). Genome-wide analyses of SVs in large sample series with well-documented clinical information are still scarce. Consequently, the impact of SVs on carcinogenesis and patient outcome remains poorly understood. This study aimed to perform a systematic analysis of genes that are affected by CNA-associated chromosomal breaks in colorectal cancer (CRC) and to determine the clinical relevance of recurrent breakpoint genes.

methodsPrimary CRC samples of patients with metastatic disease from CAIRO and CAIRO2 clinical trials were previously characterized by array-comparative genomic hybridization. These data were now used to determine the prevalence of CNA-associated chromosomal breaks within genes across 352 CRC samples. In addition, mutation status of the commonly affected APC, TP53, KRAS, PIK3CA, FBXW7, SMAD4, BRAF and NRAS genes was determined for 204 CRC samples by targeted massive parallel sequencing. Clinical relevance was assessed upon stratification of patients based on gene mutations and gene breakpoints that were observed in >3% of CRC cases.

resultsIn total, 748 genes were identified that were recurrently affected by chromosomal breaks (FDR <0.1). MACROD2 was affected in 41% of CRC samples and another 169 genes showed breakpoints in >3% of cases, indicating that prevalence of gene breakpoints is comparable to the prevalence of well-known gene point mutations. Patient stratification based on gene breakpoints and point mutations revealed one CRC subtype with very poor prognosis.

conclusionsWe conclude that CNA-associated chromosomal breaks within genes represent a highly prevalent and clinically relevant subset of SVs in CRC.

Indexed as

Chromosome BreakageGenome-Wide Association StudyBiomarkers, TumorClinical Trials, Phase III as TopicColorectal NeoplasmsHumansMulticenter Studies as TopicMutationPrognosisRandomized Controlled Trials as TopicBiomarkers, Tumor

Identifiers

PMID26375816
PMCPMC4574474

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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.