Five Crucial Prognostic-Related Autophagy Genes Stratified Female Breast Cancer Patients Aged 40-60 Years

Background: Autophagy is closely related to the progression of breast cancer. The aim at this study is to establish a prognostic-related model comprised of hub autophagy-genes (AGs ) to assess patient prognosis. Simultaneously, the model can guide clinicians to make up individualized strategies and stratify patients aged 40-60 years based on risk level. Methods: The hub AGs were identified with univariate COX regression and LASSO regression. The functions and alterations of these selected AGs were analyzed as well. Moreover, the multivariate COX regression and correlation analysis between hub AGs and clinicopathological parameters were done. Results: Totally, 33 prognostic-related AGs were obtained from the univariate COX regression (P<0.05 ) . SERPINA1 , HSPA8 , HSPB8 , MAP1LC3A , and DIRAS3 were identified to constitute the prognostic model by the LASSO regression . The survival curve of patients in high-risk and in low-risk group was statistically significant (P<0.05 ) . The 3-year and 5-year ROC displayed that their AUC value reached 0.762 and 0.825 , respectively . Stage and risk score were independent risk factors relevant about prognosis . RB1CC1 , RPS6KB1 , and BIRC6 were identified as the most predominant mutant genes . It was found that AGs were mainly involved in regulating the endopeptidases synthesis and played important roles in ErbB signal pathway . SERPIN1 , risk score were closely related to stage (P<0.05 ) ; HSPA8, risk score were closely related to T stag (P<0.05 ) ; HSPB8 was closely related to N stag (P<0.05 ). Conclusions: Our prognostic model had relatively robust predictive ability on prognosis for patients aged 40-60 years. If stage was added into 3 the prognostic model, the predictive ability would be more powerful.