Evidence map›Paper›PMID 27334288›Full record

ArticleCancer medicine2016

No associations of a set of SNPs in the Vascular Endothelial Growth Factor (VEGF) and Matrix Metalloproteinase (MMP) genes with survival of colorectal cancer patients.

Lydia A Dan, Salem Werdyani, Jingxiong Xu, Konstantin Shestopaloff, Angela Hyde, Elizabeth Dicks, Ban Younghusband, Jane Green, Patrick Parfrey, Wei Xu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
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  5. 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

11 authors at 3 institutions in 2 countries.

Lydia A DanDiscipline of Genetics, Faculty of Medicine, Memorial University, St. John's, Newfoundland, Canada.
Salem WerdyaniDiscipline of Genetics, Faculty of Medicine, Memorial University, St. John's, Newfoundland, Canada.
Jingxiong XuDepartment of Biostatistics, Princess Margaret Hospital, University of Toronto, Toronto, Ontario, Canada.
Konstantin ShestopaloffDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Angela HydeDiscipline of Genetics, Faculty of Medicine, Memorial University, St. John's, Newfoundland, Canada.
Elizabeth DicksClinical Epidemiology Unit, Faculty of Medicine, Memorial University, St. John's, Newfoundland, Canada.
Ban YounghusbandDiscipline of Genetics, Faculty of Medicine, Memorial University, St. John's, Newfoundland, Canada.
Jane GreenDiscipline of Genetics, Faculty of Medicine, Memorial University, St. John's, Newfoundland, Canada.
Patrick ParfreyClinical Epidemiology Unit, Faculty of Medicine, Memorial University, St. John's, Newfoundland, Canada.
Wei XuDepartment of Biostatistics, Princess Margaret Hospital, University of Toronto, Toronto, Ontario, Canada.
Sevtap SavasDiscipline of Genetics, Faculty of Medicine, Memorial University, St. John's, Newfoundland, Canada. savas@mun.ca.
Memorial University of Newfoundland · CAUniversity of Toronto · CAPublic Health Ontario · CA

Funding

CIHR
6 · The paper itself

Abstract

In this study, we aimed to investigate the associations of genetic variations within select genes functioning in angiogenesis, lymph-angiogenesis, and metastasis pathways and the risk of outcome in colorectal cancer patients. We followed a two-stage analysis: First, 381 polymorphisms from 30 genes (eight Vascular Endothelial Growth Factor (VEGF) and 22 Matrix Metalloproteinase [MMP] genes) were investigated in the discovery cohort (n = 505). Then, 16 polymorphisms with the lowest P-value in this analysis were investigated in a separate replication cohort (n = 247). Genotypes were obtained using the Illumina(®) HumanOmni-1-Quad (discovery cohort) and Sequenom MassArray(®) (replication cohort) platforms. The primary outcome measure was overall survival (OS). Kaplan-Meier, univariate and multivariable Cox regression methods were used to test the associations between genotypes and OS. Four SNPs (rs12365082, rs11225389, rs11225388, and rs2846707) had the univariate analysis P < 0.05 in both the discovery and replication cohorts. These SNPs are in linkage disequilibrium with each other to varying extent and are located in the MMP8 and MMP27 genes. In the multivariable analysis adjusting for age, stage, and microsatellite instability status, three of these SNPs (rs12365082, rs11225389, rs11225388) were independent predictors of OS (P < 0.05) in the discovery cohort. However, the same analysis in the replication cohort did not yield statistically significant results. Overall, while the genetic variations in the VEGF and MMP genes are attractive candidates as prognostic markers, our study showed no evidence of associations of a large set of SNPs in these genes and overall survival of colorectal cancer patients in our study.

Indexed as

Polymorphism, Single NucleotideAllelesColorectal NeoplasmsFemaleGenetic Predisposition to DiseaseGenotypeHumansMaleMatrix MetalloproteinasesNeoplasm GradingNeoplasm MetastasisNeoplasm StagingNeovascularization, PathologicPrognosisProportional Hazards ModelsVascular Endothelial Growth Factor AMatrix MetalloproteinasesVascular Endothelial Growth Factor AAngiogenesiscolorectal cancerlymph-angiogenesismatrix metalloproteinasesmetastasisoverall survivalprognosisSNPsvascular endothelial growth factorsVEGFs

Identifiers

PMID27334288
PMCPMC5055182
OpenAlexW2474706986

What OpenQuestion 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 OpenQuestion graph.