Frontiers in Immunology (Apr 2024)

Additional prognostic value of polymorphisms within the 3′-untranslated region of programmed cell death pathway genes in early-stage breast cancer

  • Hanxi Chen,
  • Hanxi Chen,
  • Hanxi Chen,
  • Minyan Chen,
  • Minyan Chen,
  • Minyan Chen,
  • Bangwei Zeng,
  • Lili Tang,
  • Qian Nie,
  • Qian Nie,
  • Qian Nie,
  • Xuan Jin,
  • Xuan Jin,
  • Xuan Jin,
  • Wenhui Guo,
  • Wenhui Guo,
  • Wenhui Guo,
  • Lili Chen,
  • Lili Chen,
  • Lili Chen,
  • Yuxiang Lin,
  • Yuxiang Lin,
  • Yuxiang Lin,
  • Chuan Wang,
  • Chuan Wang,
  • Chuan Wang,
  • Fangmeng Fu,
  • Fangmeng Fu,
  • Fangmeng Fu

DOI
https://doi.org/10.3389/fimmu.2024.1284579
Journal volume & issue
Vol. 15

Abstract

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IntroductionThe programmed cell death (PCD) pathway plays an important role in restricting cancer cell survival and proliferation. However, limited studies have investigated the association between genetic variants in the 3′-untranslated region of the PCD pathway genes and breast cancer outcomes.MethodsIn this study, we genotyped 28 potentially functional single nucleotide polymorphisms (SNPs) in 23 PCD pathway genes in 1,177 patients with early-stage breast cancer (EBC) from a Han Chinese population. The median follow-up period was 174 months.ResultsAmong all the candidate SNPs, four independent SNPs (rs4900321 and rs7150025 in ATG2B, rs6753785 in BCL2L11, and rs2213181 in c-Kit) were associated with invasive disease-free survival (iDFS), distant disease-free survival (DDFS), breast cancer-specific survival (BCSS) and overall survival (OS), respectively. Further combined genotypes of these four SNPs revealed that the survival decreased as the number of unfavorable genotypes increased (Ptrend = 1.0 × 10−6, 8.5 × 10−8, 3.6 × 10−4, and 1.3 × 10−4 for iDFS, DDFS, BCSS, and OS, respectively). Receiver operating characteristic curve analysis demonstrated that incorporating unfavorable genotypes and clinicopathological variables improved the ability to predict EBC survival (P = 0.006, 0.004, 0.029, and 0.019 for iDFS, DDFS, BCSS, and OS, respectively). Additionally, rs6753785 and rs2213181 were associated with BCL2L11 and c-Kit mRNA expression, respectively.ConclusionsOur results suggest that these four SNPs may act as novel biomarkers for EBC survival, possibly by modulating the expression of the corresponding genes.

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