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Clinicopathological Analysis of miRNA Expression in Breast Cancer Tissues by Using miRNA In Situ Hybridization
Published on: June 7, 2016
SNPs within microRNA binding sites and the prognosis of breast cancer
Liwen Zhang1, Lu Han2, Yubei Huang1
1Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, People's Republic of China.
Abstract:
Single nucleotide polymorphisms (SNPs) within microRNA binding sites can affect the binding of microRNA to mRNA and regulate gene expression, thereby contributing to cancer prognosis. Here we performed a two-stage study of 2647 breast cancer patients to explore the association between SNPs within microRNA binding sites and breast cancer prognosis. In stage I, we genotyped 192 SNPs within microRNA binding sites using the Illumina Goldengate platform. In stage II, we validated SNPs associated with breast cancer prognosis in another dataset using the TaqMan platform. We identified 8 SNPs significantly associated with breast cancer prognosis in stage I (P<0.05), and only rs10878441 was statistically significant in stage II (AA vs CC, HR=2.21, 95% CI: 1.11-4.42, P=0.024). We combined the data from stage I and stage II, and found that, compared with rs10878441 AA genotype, CC genotype was associated with poor survival of breast cancer (HR=2.19, 95% CI: 1.30-3.70, P=0.003). Stratified analyses demonstrated that rs10878441 was related to breast cancer prognosis in grade II and lymph node-negative patients (P<0.05). The Leucine-rich repeat kinase 2 (LRRK2) rs10878441 CC genotype is associated with poor prognosis of breast cancer in a Chinese population and may be used as a potential prognostic biomarker for breast cancer. • The LRRK2 rs10878441 CC genotype is associated with poor prognosis of breast cancer in a Chinese population. • Stratified analyses demonstrated that rs10878441 was related to breast cancer prognosis in grade II patients and lymph node-negative patients.
Insights
Single nucleotide polymorphisms (SNPs) in microRNA binding sites impact gene expression and cancer prognosis. The Leucine-rich repeat kinase 2 (LRRK2) rs10878441 CC genotype is linked to poorer breast cancer survival in Chinese patients.
Area of Science:
- Genetics
- Oncology
- Molecular Biology
Background:
- Single nucleotide polymorphisms (SNPs) in microRNA binding sites can alter gene expression and influence cancer outcomes.
- Understanding these genetic variations is crucial for improving breast cancer prognosis.
Purpose of the Study:
- To investigate the association between SNPs in microRNA binding sites and breast cancer prognosis.
- To identify potential genetic biomarkers for predicting breast cancer survival.
Main Methods:
- A two-stage study involving 2647 breast cancer patients.
- Genotyping of 192 SNPs using Illumina Goldengate and TaqMan platforms.
- Statistical analysis to assess the association between SNPs and patient survival.
Main Results:
- Eight SNPs were initially associated with breast cancer prognosis in stage I.
- The Leucine-rich repeat kinase 2 (LRRK2) rs10878441 SNP was validated in stage II.
- The rs10878441 CC genotype was significantly associated with poor breast cancer survival (HR=2.19, P=0.003).
- Prognostic association was observed in grade II and lymph node-negative patients.
Conclusions:
- The LRRK2 rs10878441 CC genotype is a potential prognostic biomarker for breast cancer in the Chinese population.
- This SNP may aid in identifying patients with a poorer prognosis, particularly in specific subgroups.
- Further research can explore the functional mechanisms underlying this association.
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