ArticleMolecular genetics & genomic medicine2019
Relationships between SNPs and prognosis of breast cancer and pathogenic mechanism.
Article in Molecular genetics & genomic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06357689 (Studying the Association of Genetic Variations in Long Intergenic Noncoding RNA 00511), which is not on this map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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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.
Studying the Association of Genetic Variations in Long Intergenic Noncoding RNA 00511 (LINC00511) With Breast Cancer Among the Egyptian Population
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
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- Uncovering genetic variations in HTR2A and miRNAs drivers of breast cancer risk in African American women.Journal of breast cancer research · 2026Article
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- Endoplasmic reticulum stress in breast cancer: a predictive model for prognosis and therapy selection.Frontiers in immunology · 2024Article
- CYP4B1 polymorphisms and the risk of breast cancer in Chinese women: a case-control study.BMC cancer · 2023Article
- Promoter-Specific Variants in NeuroD1 and H3K4me3 Coincident Regions and Clinical Outcomes of Small Cell Lung Cancer.Journal of Korean medical science · 2023Article
- A novel TOX3-WDR5-ABCG2 signaling axis regulates the progression of colorectal cancer by accelerating stem-like traits and chemoresistance.PLoS biology · 2023Article
- In Silico Study to Predict the Structural and Functional Consequences of SNPs on Biomarkers of Ovarian Cancer (OC) and BPA Exposure-Associated OC.International journal of molecular sciences · 2022Article
- Construction and Validation of a Prognostic Model Based on mRNAsi-Related Genes in Breast Cancer.Computational and mathematical methods in medicine · 2022Article
- LncRNA MIR4435-2HG promotes proliferation, migration, invasion and epithelial mesenchymal transition via targeting miR-22-3p/TMEM9B in breast cancer.American journal of translational research · 2022Article
- TOX as a potential target for immunotherapy in lymphocytic malignancies.Biomarker research · 2021Review
- Higher TOX Genes Expression Is Associated With Poor Overall Survival for Patients With Acute Myeloid Leukemia.Frontiers in oncology · 2021Article
- Comprehensive Analysis of the Immune-Oncology Targets and Immune Infiltrates ofFrontiers in cell and developmental biology · 2021Article
- Article
- Relationships between SNPs and prognosis of breast cancer and pathogenic mechanism.Molecular genetics & genomic medicine · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAssociation between several single-nucleotide polymorphisms (SNPs) and breast cancer risk has been identified through genome-wide association studies (GWAS), but little is known about their significance in patients' prognosis. We screened SNPs which were related to the prognosis of breast cancer in Henan Han population, analyzed relevant genes by bioinformatics in database, and further constructed the genetic regulatory network involved in the pathogenesis of breast cancer.
methodsWe evaluated five SNPs in 232 cases of breast cancer at the Affiliated Tumor Hospital of Zhengzhou University. Relationships between five SNPs, clinical prognostic indicators, and disease-free survival (DFS) were evaluated by Kaplan-Meier analysis and Cox proportional hazards model. Gene ontology (GO) functional annotation and Kyoto Encyclopedia of genes and Genome (KEGG) analysis were carried out to preliminarily establish genetic regulation network model of breast cancer. Bayesian algorithm was used to optimize the model.
resultsThe multivariate Cox proportional hazards model confirmed that SNP rs3803662 (TOX3/TNRC9) had correlation with DFS independently. In the multivariate Cox proportional hazards model, compared with GA/AA, GG increased the recurrent risk of breast cancer (p = .021, hazard ratio [HR] = 2.914). GO analysis showed that the function of TOX3/TNRC9 included biological_process, molecular_function, and cellular_component. According to KEGG signaling pathway database, the map of breast cancer-related gene regulatory network was obtained. IGF-IGF1R-PI3K-Akt-mTOR-S6K was the best possible pathway for the differentiation of breast cancer cells in this network and ER-TOX3/TNRC9 was the best possible pathway for the survival of tumor cells in this network by Bayesian theorem optimization.
conclusionsSNP rs3803662 (TOX3/TNRC9) is an independent prognostic factor for breast cancer in Henan Han Population. ER-TOX3/TNRC9 is the best possible pathway involved in the pathogenesis of breast cancer.
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