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.

Aging
|March 4, 2021
PubMed

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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