Evidence map›Paper›PMID 26064972›Full record

ArticleBioMed research international2015

A Survival Association Study of 102 Polymorphisms Previously Associated with Survival Outcomes in Colorectal Cancer.

Sevtap Savas, Jingxiong Xu, Salem Werdyani, Konstantin Shestopaloff, Elizabeth Dicks, Jane Green, Patrick Parfrey, Roger Green, Wei Xu

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PubMed Full text at PMC Publisher
In one paragraph

Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. 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

9 authors.

Sevtap SavasDiscipline of Genetics, Faculty of Medicine, Memorial University, St. John's, NL, Canada A1B 3V6 ; Discipline of Oncology, Faculty of Medicine, Memorial University, St. John's, NL, Canada A1B 3V6.ORCID 0000-0002-7324-938X
Jingxiong XuDepartment of Biostatistics, Princess Margaret Hospital, Toronto, ON, Canada M5G 2M9.
Salem WerdyaniDiscipline of Genetics, Faculty of Medicine, Memorial University, St. John's, NL, Canada A1B 3V6.
Konstantin ShestopaloffDalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada M5T 3M7.
Elizabeth DicksClinical Epidemiology Unit, Faculty of Medicine, Memorial University, St. John's, NL, Canada A1B 3V6.
Jane GreenDiscipline of Genetics, Faculty of Medicine, Memorial University, St. John's, NL, Canada A1B 3V6.
Patrick ParfreyClinical Epidemiology Unit, Faculty of Medicine, Memorial University, St. John's, NL, Canada A1B 3V6.
Roger GreenDiscipline of Genetics, Faculty of Medicine, Memorial University, St. John's, NL, Canada A1B 3V6.
Wei XuDepartment of Biostatistics, Princess Margaret Hospital, Toronto, ON, Canada M5G 2M9 ; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada M5T 3M7.ORCID 0000-0002-0257-8856

Funding

Canadian Institutes of Health Research FRN: 110045
6 · The paper itself

Abstract

Several published studies identified associations of a number of polymorphisms with a variety of survival outcomes in colorectal cancer. In this study, we aimed to explore 102 previously reported common genetic polymorphisms and their associations with overall survival (OS) and disease-free survival (DFS) in a colorectal cancer patient cohort from Newfoundland (n = 505). Genotypes were obtained using a genomewide SNP genotyping platform. For each polymorphism, the best possible genetic model was estimated for both overall survival and disease-free survival using a previously published approach. These SNPs were then analyzed under their genetic models by Cox regression method. Correction for multiple comparisons was performed by the False Discovery Rate (FDR) method. Univariate analysis results showed that RRM1-rs12806698, IFNGR1-rs1327474, DDX20-rs197412, and PTGS2-rs5275 polymorphisms were nominally associated with OS or DFS (p < 0.01). In stage-adjusted analysis, the nominal associations of DDX20-rs197412, PTGS2-rs5275, and HSPA5-rs391957 with DFS were detected. However, after FDR correction none of these polymorphisms remained significantly associated with the survival outcomes. We conclude that polymorphisms investigated in this study are not associated with OS or DFS in our colorectal cancer patient cohort.

Indexed as

AdultAgedColorectal NeoplasmsCyclooxygenase 2DEAD Box Protein 20Disease-Free SurvivalEndoplasmic Reticulum Chaperone BiPFemaleGenetic Association StudiesHeat-Shock ProteinsHumansMaleMiddle AgedNeoplasm StagingPolymorphism, Single NucleotidePrognosisCyclooxygenase 2DDX20 protein, humanDEAD Box Protein 20Endoplasmic Reticulum Chaperone BiPHeat-Shock ProteinsHSPA5 protein, humanPTGS2 protein, human

Identifiers

PMID26064972
PMCPMC4443940

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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.