Evidence map›Paper›PMID 30738427›Full record

ArticleBMC cancer2019

A genome-wide association study identifies single nucleotide polymorphisms associated with time-to-metastasis in colorectal cancer.

Michelle E Penney, Patrick S Parfrey, Sevtap Savas, Yildiz E Yilmaz

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Michelle E PenneyDiscipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada.
Patrick S ParfreyDiscipline of Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada.
Sevtap SavasDiscipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada.
Yildiz E YilmazDiscipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada. yyilmaz@mun.ca.ORCID http://orcid.org/0000-0003-1784-8764
Memorial University of Newfoundland · CA

Funding

Research and Development Corporation of Newfoundland and Labrador 5404.1723.101
6 · The paper itself

Abstract

backgroundDifferentiating between cancer patients who will experience metastasis within a short time and who will be long-term survivors without metastasis is a critical aim in healthcare. The microsatellite instability (MSI)-high tumor phenotype is such a differentiator in colorectal cancer, as patients with these tumors are unlikely to experience metastasis. Our aim in this study was to determine if germline genetic variations could further differentiate colorectal cancer patients based on the long-term risk and timing of metastasis.

methodsThe patient cohort consisted of 379 stage I-III Caucasian colorectal cancer patients with microsatellite stable or MSI-low tumors. We performed univariable analysis on 810,622 common single nucleotide polymorphisms (SNPs) under different genetic models. Depending on the long-term metastasis-free survival probability estimates, we applied a mixture cure model, Cox proportional hazards regression model, or log-rank test. For SNPs reaching Bonferroni-corrected significance (p < 6.2 × 10

resultsAfter adjusting for significant baseline characteristics, specific genotypes of ten polymorphisms were significantly associated with time-to-metastasis. These polymorphisms are three intergenic SNPs, rs5749032 (p = 1.28 × 10

conclusionsOur results suggest novel associations of specific genotypes of SNPs with early metastasis in Caucasian colorectal cancer patients. These associations, once replicated in other patient cohorts, could assist in the development of personalized treatment strategies for colorectal cancer patients.

Indexed as

Colorectal cancerGenome-wide association studyMixture cure modelSingle nucleotide polymorphismsTime-to-metastasis

Identifiers

PMID30738427
PMCPMC6368959
OpenAlexW4246023981

What OpenQuestion holds

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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.