Evidence map›Paper›PMID 29394274›Full record

ArticlePloS one2018

XRCC3 Thr241Met and TYMS variable number tandem repeat polymorphisms are associated with time-to-metastasis in colorectal cancer.

Yanjing He, Michelle E Penney, Amit A Negandhi, Patrick S Parfrey, Sevtap Savas, Yildiz E Yilmaz

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 8 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.

Yanjing HeDepartment of Mathematics and Statistics, Faculty of Science, Memorial University of Newfoundland, St. John's, Canada.
Michelle E PenneyDiscipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada.
Amit A NegandhiDiscipline 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 YilmazDepartment of Mathematics and Statistics, Faculty of Science, Memorial University of Newfoundland, St. John's, Canada.ORCID 0000-0003-1784-8764
Memorial University of Newfoundland · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetastasis is a major cause of mortality in cancer. Identifying prognostic factors that distinguish patients who will experience metastasis in the short-term and those that will be free of metastasis in the long-term is of particular interest in current medical research. The objective of this study was to examine if select genetic polymorphisms can differentiate colorectal cancer patients based on timing and long-term risk of metastasis.

methodsThe patient cohort consisted of 402 stage I-III colorectal cancer patients with microsatellite instability (MSI)-low (MSI-L) or microsatellite stable (MSS) tumors. We applied multivariable mixture cure model, which is the proper model when there is a substantial group of patients who remain free of metastasis in the long-term, to 26 polymorphisms. Time-dependent receiver operator characteristic (ROC) curve analysis was performed to determine the change in discriminatory accuracy of the models when the significant SNPs were included.

resultsAfter adjusting for significant baseline characteristics, two polymorphisms were significantly associated with time-to-metastasis: TT and TC genotypes of the XRCC3 Thr241Met (p = 0.042) and the 3R/3R genotype of TYMS 5'-UTR variable number tandem repeat (VNTR) (p = 0.009) were associated with decreased time-to-metastasis. ROC curves showed that the discriminatory accuracy of the model is increased slightly when these polymorphisms were added to the significant baseline characteristics.

conclusionsOur results indicate XRCC3 Thr241Met and TYMS 5'-UTR VNTR polymorphisms are associated with time-to-metastasis, and may have potential biological roles in expediting the metastatic process. Once replicated, these associations could contribute to the development of precision medicine for colorectal cancer patients.

Indexed as

Neoplasm MetastasisColorectal NeoplasmsDNA-Binding ProteinsHumansMethioninePolymorphism, Single NucleotideThreonineThymidylate SynthaseDNA-Binding ProteinsMethionineThreonineThymidylate SynthaseTYMS protein, humanX-ray repair cross complementing protein 3

Identifiers

PMID29394274
PMCPMC5796722
OpenAlexW2787456186

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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.