title: Correlation and prognostic value of SIRT1 and Notch1 signaling in breast cancer.
abstract: BACKGROUND
  SIRT1 expression and Notch1 signaling have been implicated in tumorigenesis in many cancers, but their association with survival in breast cancer has not been determined. The purpose of this study was to assess the possible prognostic value of SIRT1, N1IC, and Snail expression in breast cancer patients.
  
  
  METHODS
  Immunohistochemistry was performed to examine the expression of SIRT1, N1IC, and Snail, and the combined expression of SIRT1 and N1IC, using tissue microarrays containing breast cancer tissue and matched adjacent normal breast tissue from 150 breast cancer patients. Survival analysis was carried out using the Kaplan-Meier method. Univariate and multivariate analysis were used to evaluate the prognostic value of SIRT1, N1IC, Snail and combined SIRT1/N1IC expression, in addition to other clinicopathological factors, including grade, lymph node status, disease stage, and estrogen, progesterone, and human epidermal growth factor receptor 2 receptor status in breast carcinoma patients.
  
  
  RESULTS
  SIRT1, N1IC, and Snail were all found to be highly expressed and an inverse correlation between SIRT1 and N1IC in breast cancer tissue. The three markers significantly correlated with lymph node status. Patients with low SIRT1 expression exhibited shorter overall survival (OS) and disease-free survival (DFS), and patients with combined low expression of SIRT1 and high expression of N1IC had the worse OS and DFS. Univariate and multivariate survival analysis revealed that low expression of SIRT1 and SIRT1-low/N1IC-high expression were independent prognostic factors for poor survival.
  
  
  CONCLUSIONS
  These results suggest that low expression of SIRT1 or the combined low expression of SIRT1 and high expression of N1IC could be used as indicators of poor prognosis, and may represent novel therapeutic targets in breast cancer.
authors.affiliation: Department of Pathology and Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), Shihezi University School of Medicine, Shihezi, Xinjiang, 832000, China. cywwb2013@126.com.
authors.forename: Yu-Wen
authors.initials: YW
authors.lastname: Cao
authors.affiliation: Department of Pathology and Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), Shihezi University School of Medicine, Shihezi, Xinjiang, 832000, China. 215646771@qq.com.
authors.forename: Wen-Qin
authors.initials: WQ
authors.lastname: Li
authors.affiliation: Department of Pathology and Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), Shihezi University School of Medicine, Shihezi, Xinjiang, 832000, China. 526852427@qq.com.
authors.forename: Guo-Xing
authors.initials: GX
authors.lastname: Wan
authors.affiliation: Department of Pathology and Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), Shihezi University School of Medicine, Shihezi, Xinjiang, 832000, China. 873997162@qq.com.
authors.forename: Yi-Xiao
authors.initials: YX
authors.lastname: Li
authors.affiliation: Department of Pathology and Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), Shihezi University School of Medicine, Shihezi, Xinjiang, 832000, China. 653045568@qq.com.
authors.forename: Xiao-Ming
authors.initials: XM
authors.lastname: Du
authors.affiliation: Department of Pathology and Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), Shihezi University School of Medicine, Shihezi, Xinjiang, 832000, China. lyc907025@163.com.
authors.forename: Yu-Cong
authors.initials: YC
authors.lastname: Li
authors.affiliation: Department of Pathology and Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), Shihezi University School of Medicine, Shihezi, Xinjiang, 832000, China. fengli7855@126.com.
authors.forename: Feng
authors.initials: F
authors.lastname: Li
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D014408:Biomarkers, Tumor / Q000032:analysis*; D001943:Breast Neoplasms / Q000201:enzymology* / Q000401:mortality / Q000473:pathology / Q000628:therapy; D016022:Case-Control Studies; D016009:Chi-Square Distribution; D018450:Disease Progression; D018572:Disease-Free Survival; D005260:Female; D006801:Humans; D007150:Immunohistochemistry; D053208:Kaplan-Meier Estimate; D008207:Lymphatic Metastasis; D008875:Middle Aged; D015999:Multivariate Analysis; D060787:Neoplasm Grading; D009367:Neoplasm Staging; D011237:Predictive Value of Tests; D016016:Proportional Hazards Models; D051881:Receptor, Notch1 / Q000032:analysis*; D012307:Risk Factors; D015398:Signal Transduction; D056564:Sirtuin 1 / Q000032:analysis*; D000071250:Snail Family Transcription Factors; D013997:Time Factors; D046888:Tissue Array Analysis; D014157:Transcription Factors / Q000032:analysis
chemical_list: D014408:Biomarkers, Tumor; C497761:NOTCH1 protein, human; D051881:Receptor, Notch1; D000071250:Snail Family Transcription Factors; D014157:Transcription Factors; C447939:SIRT1 protein, human; D056564:Sirtuin 1