ArticleCancer medicine2019
Functional polymorphisms in circadian positive feedback loop genes predict postsurgical prognosis of gastric cancer.
Article in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- Ferroptosis and Ferroptosis-related autophagy: new therapeutic targets for gastric cancer.American journal of cancer research · 2026Review
- Long non-coding RNA NR2F1-AS1: an increasingly significant LncRNA in human cancers.Journal of physiology and biochemistry · 2025Review
- The Common Hallmarks and Interconnected Pathways of Aging, Circadian Rhythms, and Cancer: Implications for Therapeutic Strategies.Research (Washington, D.C.) · 2025Review
- Circadian system and aging: where both times interact.Frontiers in aging · 2025Review
- Construction and evaluation of a polygenic hazard score for prognostic assessment in localized gastric cancer.Fundamental research · 2024Article
- Circadian clock gene expression and polymorphism in non-segmental vitiligo.Molecular biology reports · 2024Article
- NPAS2 promotes aerobic glycolysis and tumor growth in prostate cancer through HIF-1A signaling.BMC cancer · 2023Article
- A multidisciplinary perspective on the complex interactions between sleep, circadian, and metabolic disruption in cancer patients.Cancer metastasis reviews · 2021Review
- Every Night and Every Morn: Effect of Variation inFrontiers in psychiatry · 2021Article
- Circadian Gene Polymorphisms Associated with Breast Cancer Susceptibility.International journal of molecular sciences · 2019Article
- Functional polymorphisms in circadian positive feedback loop genes predict postsurgical prognosis of gastric cancer.Cancer medicine · 2019Article
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Authors and funding
10 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCircadian positive feedback loop (CPFL) genes (CLOCK, BAML1, and NPAS2) have been implicated in cancer initiation and progression. The purpose of this study was to explore the effects of single-nucleotide polymorphisms (SNPs) in CPFL genes on prognosis of gastric cancer (GC) patients.
methodsNine functional SNPs from the three CPFL genes were genotyped in a cohort of 704 GC patients undergoing resection. Multivariate Cox regression model and Kaplan-Meier curve were used for prognosis analysis.
resultsAmong the nine SNPs, rs11133399 in CLOCK, rs1044432 and rs2279284 in BAML1 were significantly associated with GC overall survival and recurrence-free survival. The unfavorable genotypes of these SNPs showed a cumulative effect on GC prognosis. Multivariate assessment model indicated that these SNPs, in conjunction with clinical variables, enhanced the power to predict GC prognosis. In addition, survival tree analysis revealed the genotype of rs11133399 as a primary risk factor contributing to the prognosis of GC patients. Functional assays showed that the G allele in rs11133399 significantly enhanced luciferase reporter activity than A allele. Immunohistochemical analysis further demonstrated that the genotype of rs11133399 was significantly associated with the expression level of CLOCK in GC tissues, suggesting that this SNP might affect the prognosis of GC through its influence on the expression of CLOCK gene.
conclusionsOur data indicate that SNPs in CPFL genes might contribute to the clinical outcome of GC through their impact on gene expression. Further studies are needed to elucidate its underlying molecular mechanisms.
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