Home About us Editorial board Ahead of print Current issue Search Archives Submit article Instructions Subscribe Contacts Login 
Year : 2018  |  Volume : 14  |  Issue : 10  |  Page : 719-723

Survivin expression as an independent predictor of overall survival in pancreatic adenocarcinoma

1 2nd Department of Surgery, Aretaieio University Hospital, National and Kapodistrian University of Athens, Athens, Greece
2 Department of Pathology, Aretaieio University Hospital, National and Kapodistrian University of Athens, Athens, Greece

Correspondence Address:
Panagis M Lykoudis
2nd Department of Surgery, Aretaieio University Hospital, 75, Vas. Sofias Ave., Athens, 11528
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/0973-1482.187346

Rights and Permissions

Context: Survivin is an antiapoptotic protein with a role in tumorigenesis and suggested prognostic value in several proliferative diseases. Aims: This study aimed to examine the role of survivin as a prognostic marker in pancreatic adenocarcinoma (PDAC). Settings and Design: Fifty-one specimens of PDAC were assessed for survivin expression by immunohistochemistry. Subjects and Methods: Overall survival and 1-, 3-, and 5-year survival were retrieved retrospectively. Statistical Analysis Used: Bivariate analysis was conducted using Chi-square and Mann–Whitney U tests, while survival analysis was conducted using Kaplan–Meier statistics. Results: Of the 51 assessed cases, 49% were positive for survivin. Survivin expression was significantly correlated 1-year survival and overall survival, particularly in bcl-2 positive cases. Conclusions: Survivin may be implicated in the bcl-2 and p53 pathways and therefore in the biology of PDAC. Its potential use as a survival predictor and therapeutic target represent a promising field.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded105    
    Comments [Add]    
    Cited by others 4    

Recommend this journal