ArticleOncology letters2018
Interaction of polymorphisms in xeroderma pigmentosum group C with cigarette smoking and pancreatic cancer risk.
Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
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Who cites it
5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.
- Pooled it
- Comprehensive assessment of the association between XPC rs2228000 and cancer susceptibility based on 26835 cancer cases and 37069 controls.Bioscience reports · 2019Pooled it
- Whole Exome Sequencing of a Patient with a Milder Phenotype of Xeroderma Pigmentosum Group C.Medicina (Kaunas, Lithuania) · 2023Article
- Xeroderma Pigmentosum Complementation Group C (XPC): Emerging Roles in Non-Dermatologic Malignancies.Frontiers in oncology · 2022Review
- DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome.Bioinformatics (Oxford, England) · 2021Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of the present study was to evaluate the association between xeroderma pigmentosum group C (XPC) polymorphisms and pancreatic cancer (PC) risk. A total of 7 XPC tagging SNPs (tag-SNPs) were selected from the International HapMap Project Databases (rs2228001A/C, rs2470353G/C, rs2228000C/T, rs3731114C/G, rs3729587G/C, rs2607775C/G and rs3731055G/A) and were genotyped in 205 patients with PC and 230 non-cancer control subjects using a SNaPshot assay. The C allelic gene frequency of rs2470353 was higher in patients with PC compared with that in the control group (P=0.003). Compared with the GG gene type, PC risk was increased in subjects with GC and GC+CC gene types (P=0.012 and P=0.006, respectively). PC risk increased 3.505-fold for the subjects who were heavy smokers (tobacco, ≥25 packets/year) with the GC+CC gene type (P=0.008). The G allelic gene frequency of rs2607775 was higher in PC patients compared with that in the control group (P=0.003). Compared with the CC gene type, PC risk increased in subjects with CG and CG+GG gene types (P=0.013 and P=0.005, respectively). Furthermore, PC risk increased 3.950-fold in subjects who were heavy smokers (tobacco, ≥25 packets/year) with the CG+GG gene type (P=0.001). Haplotype analysis further revealed that the CCC haplotype of rs2228000, rs3731114 and rs3729587 increased PC risk (odds ratio, 1.610; 95% confidence interval, 1.035-2.481; P=0.034). The present study revealed that XPC gene polymorphisms could increase the risk of PC in the study population, particularly among heavy smokers.
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