ArticleBreast cancer research and treatment2013
Case-only analyses of the associations between polymorphisms in the metastasis-modifying genes BRMS1 and SIPA1 and breast tumor characteristics, lymph node metastasis, and survival.
Article in Breast cancer research and treatment, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 10 citations in OpenAlex.
- Long Intergenic Non-Coding RNA 00511 (LINC00511) Genetic Variations and Haplotypes in Breast Cancer: A Case-Controlled Study and Bioinformatics Analysis.International journal of molecular sciences · 2025Article
- A novel transcription factor SIPA1: identification and verification in triple-negative breast cancer.Oncogene · 2023Article
- A germline SNP in BRMS1 predisposes patients with lung adenocarcinoma to metastasis and can be ameliorated by targeting c-fos.Science translational medicine · 2022Article
- The role of SIPA1 in the development of cancer and metastases (Review).Molecular and clinical oncology · 2020Review
- MicroRNA-125a-5p inhibits invasion and metastasis of gastric cancer cells by targeting BRMS1 expression.Oncology letters · 2018Article
- Single nucleotide variants in metastasis-related genes are associated with breast cancer risk, by lymph node involvement and estrogen receptor status, in women with European and African ancestry.Molecular carcinogenesis · 2017Article
- Suppression of SIPA-1 expression may reduce bladder cancer invasion and metastasis via the downregulation of E-cadherin and ZO-1.Experimental and therapeutic medicine · 2016Article
- The role of individual inheritance in tumor progression and metastasis.Journal of molecular medicine (Berlin, Germany) · 2015Review
- Prediction of breast cancer survival using clinical and genetic markers by tumor subtypes.PloS one · 2015Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Lymph node metastases and tumor characteristics predict breast cancer prognosis but correlate imperfectly with likelihood of metastatic relapse. Discovery of genetic polymorphisms affecting metastasis may improve identification of patients requiring aggressive adjuvant therapy to prevent recurrence. We investigated associations between several variants in the BRMS1 and SIPA1 metastasis-modifying genes and lymph node metastases, tumor subtype and grade, recurrence, disease-free survival, and overall survival. This cross-sectional and prospective prognostic analysis included 859 patients who received surgery for incident breast cancer at Roswell Park Cancer Institute, participated in the DataBank and BioRepository shared resource, and had DNA, clinical, and pathology data available for analysis. Genotyping for BRMS1 (rs11537993, rs3116068, and rs1052566) and SIPA1 (rs75894763, rs746429, rs3741378, and rs2306364) polymorphisms was performed using Sequenom(®) iPLEX Gold and Taqman(®) real-time PCR assays. Logistic and Cox proportional hazards regressions were used to estimate odds ratios (OR) and hazard ratios (HR), respectively. BRMS1 rs1052566 heterozygous individuals were more likely to have node-positive tumors (OR = 1.58, 95 % CI 1.13-2.23), although there was no dose-response relationship, and those with at least one variant allele were less likely to have the luminal B subtype (AG + AA: OR = 0.59, 95 % CI 0.36-0.98). BRMS1 rs3116068 was associated with increased likelihood of having the luminal B and the HER2-enriched tumor subtype (P trend = 0.03). Two SIPA1 SNPs, rs746429 and rs2306364, were associated with decreased risk of triple-negative tumors (P trend = 0.04 and 0.07, respectively). Presence of 8 or more risk alleles was associated with an increased likelihood of having a node-positive tumor (OR = 2.14, 95 % CI 1.18-3.36, P trend = 0.002). There were no significant associations with survival. Polymorphisms in metastasis-associated genes may be related to tumor characteristics and lymph node metastasis, but not survival. Future evaluation of metastasis-modifying gene variants is necessary to better understand the biology of metastasis.
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