Evidence map›Paper›PMID 34309201›Full record

ArticleMolecular oncology2021

A comprehensive analysis of SNPs and CNVs identifies novel markers associated with disease outcomes in colorectal cancer.

Yajun Yu, Salem Werdyani, Megan Carey, Patrick Parfrey, Yildiz E Yilmaz, Sevtap Savas

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 17 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Yajun YuDiscipline of Genetics, Faculty of Medicine, Memorial University, St. John's, NL, Canada.
Salem WerdyaniDiscipline of Genetics, Faculty of Medicine, Memorial University, St. John's, NL, Canada.
Megan CareyDiscipline of Genetics, Faculty of Medicine, Memorial University, St. John's, NL, Canada.
Patrick ParfreyDiscipline of Medicine, Faculty of Medicine, Memorial University, St. John's, NL, Canada.
Yildiz E YilmazDiscipline of Genetics, Faculty of Medicine, Memorial University, St. John's, NL, Canada.
Sevtap SavasDiscipline of Genetics, Faculty of Medicine, Memorial University, St. John's, NL, Canada.ORCID 0000-0002-7324-938X
Memorial University of Newfoundland · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to examine the associations of a genome-wide set of single nucleotide polymorphisms (SNPs) and 254 copy number variations (CNVs) and/or insertion/deletions (INDELs) with clinical outcomes in colorectal cancer patients (n = 505). We also aimed to investigate whether their associations changed (e.g., appeared, diminished) over time. Multivariable Cox proportional hazards and piece-wise Cox regression models were used to examine the associations. The Cancer Genome Atlas (TCGA) datasets were used for replication purposes and to examine the gene expression differences between tumor and nontumor tissue samples. A common SNP (WBP11-rs7314075) was associated with disease-specific survival with P-value of 3.2 × 10

Indexed as

Colorectal NeoplasmsPolymorphism, Single NucleotideDNA-Binding ProteinsDNA Copy Number VariationsGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansQuantitative Trait LociRNA Splicing FactorsDNA-Binding ProteinsRNA Splicing FactorsWBP11 protein, humancolorectal cancergenetic variantsgenome-wide association studyprognostic markersproportional hazards (PH) assumptionvariables with time-varying associations

Identifiers

PMID34309201
PMCPMC8637572
OpenAlexW3186959919

What OpenQuestion holds

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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.