Clinical significance and expression of SIRT2 in non?small cell lung cancer tissues
ZHANG Minghua
TAO Zhaowu.
Abstract:Objective To detect the expression of silent information regulator 2 ( SIRT2) in non?small cell lung cancer (NSCLC), and to explore its correlation with the clinicopathological charcteristics and prognosis in NSCLC patients. Methods The expression of SIRT2 in 243 NSCLC tissues and 120 adjacent tissues from Jan 2011 to Dec 2013 was detected by immunohistochemical staining. The relationship between SIRT2 expression level and clinicopathological charcteristics was analyzed. Cox risk proportional re?gression model was used to analyze the prognostic factors. Results The high expression rate of SIRT2 in NSCLC tissues was 31. 3%(76/243), lower than 57. 5%(69/120) in adjacent tissues (P< 0. 001). The expression of SIRT2 in NSCLC tissues was correlated with the degree of differentiation and lymph node metastasis (P< 0. 05), but not with age, sex, tumor size and TNM stage (P>0. 05). The median disease?free survival (DFS) of patients with high SIRT2 expression was 37. 0 months(95%CI:25. 3?48. 7 months), longer than 31. 0 months(95%CI:27. 3?34. 8 months) of patients with low SIRT2 expression (P=0. 026). The median overall survival (OS) of patients with high SIRT2 expression was 54. 0 months(95%CI:40. 7?67. 3 months), longer than 41. 0 months( 95%CI:33. 6?48. 5 months) of patients with low SIRT2 expression ( P=0. 023). Multivariate Cox regression analysis showed that pathological grade and lymph node metastasis were independent prognostic factors for DFS and OS in NSCLC patients(P<0. 05), while SIRT2 expression level had no independent predictive effect on DFS and OS in NSCLC patients( P>0. 05). Conclusion SIRT2 is low expressed in NSCLC tissues compared to paired adjacent tissues, and its high expression is correlated with better clinicopathological characteristics and prog?nosis in NSCLC patients.
Keywords:Non?small cell lung cancer(NSCLC)Silent information regulator 2(SIRT2)Clinicopathological charac?teristicsPrognosis
Publication Date:2019-01-01
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:6( 588-593 )
