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

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

Hanxi Chen ^1,2,3, Minyan Chen ^1,2,3, Bangwei Zeng ⁴, Lili Tang ⁵, Qian Nie ^1,2,3, Xuan Jin ^1,2,3, Wenhui Guo ^1,2,3, Lili Chen ^1,2,3, Yuxiang Lin ^1,2,3, Chuan Wang ^1,2,3, Fangmeng Fu ^1,2,3

Hanxi Chen ^1,2,3, Minyan Chen ^1,2,3, Bangwei Zeng ⁴

¹Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
²Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
³Breast Cancer Institute, Fujian Medical University, Fuzhou, Fujian, China.
⁴Administration Department of Nosocomial Infection, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
⁵Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.

⁰Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.

Frontiers in Immunology +

|

May 1, 2024

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View abstract on PubMed

Summary

This summary is machine-generated.

Genetic variants in programmed cell death pathway genes are linked to breast cancer survival. Four specific SNPs (rs4900321, rs7150025, rs6753785, rs2213181) may serve as biomarkers for early-stage breast cancer outcomes.

Area Of Science

Oncology
Genetics
Molecular Biology

Background

Programmed cell death (PCD) pathway is crucial for cancer control.
Limited research exists on genetic variants in PCD pathway 3'-untranslated regions and breast cancer prognosis.

Purpose Of The Study

To investigate the association between genetic variants in PCD pathway genes and early-stage breast cancer (EBC) outcomes.
To identify potential genetic biomarkers for predicting EBC survival.

Main Methods

Genotyped 28 single nucleotide polymorphisms (SNPs) in 23 PCD pathway genes in 1,177 early-stage breast cancer patients.
Median follow-up of 174 months.
Analyzed associations with invasive disease-free survival (iDFS), distant disease-free survival (DDFS), breast cancer-specific survival (BCSS), and overall survival (OS).

Main Results

Four independent SNPs (rs4900321, rs7150025 in ATG2B; rs6753785 in BCL2L11; rs2213181 in c-Kit) were significantly associated with survival outcomes.
Combined genotypes of these SNPs showed a dose-dependent decrease in survival with increasing unfavorable genotypes (Ptrend < 1.0 × 10-6).
Combined genotypes improved prediction of EBC survival when integrated with clinicopathological variables (P < 0.05).
Two SNPs (rs6753785, rs2213181) correlated with BCL2L11 and c-Kit mRNA expression, respectively.

Conclusions

The identified four SNPs may serve as novel biomarkers for predicting early-stage breast cancer survival.
These SNPs potentially influence survival by modulating the expression of corresponding PCD pathway genes.

Keywords:

breast cancer prognosis programmed cell death single nucleotide polymorphism survival

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