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Correlation analysis between molecular subtypes and Nottingham Prognostic Index in breast cancer.

Authors :
Zhen H
Yang L
Li L
Yu J
Zhao L
Li Y
Li Q
Source :
Oncotarget [Oncotarget] 2017 May 27; Vol. 8 (43), pp. 74096-74105. Date of Electronic Publication: 2017 May 27 (Print Publication: 2017).
Publication Year :
2017

Abstract

Molecular subtypes and Nottingham Prognostic Index (NPI) are both prognostic models for breast cancer patients. We evaluated the association between molecular subtypes and NPI in 1042 breast cancer patients. The molecular subtypes indicating poorer prognosis were positively correlated to higher NPI ( r = 0.138, P = 0.001). ER positive expression and PR high expression were positively correlated with NPI ( r = 0.142, P = 0.001; r = 0.139, P = 0.001; respectively) and negatively correlated with histological grade ( r = -0.233, P < 0.001; r = -0.176, P < 0.001; respectively). Ki67 status was negatively correlated with NPI and positively correlated with histological grade ( r = -0.120, P =0.004; r = 0.197, P < 0.001; respectively). The percentages of cases with NPI score 2.00-3.40 were higher in the luminar A, ER+, PR high expression and Ki67 low expression group, and the percentages of cases with NPI > 5.40 were higher in the HER2 overexpression subtype, basal-like subtype, ER-, PR low/negative expression, and Ki67 high expression groups. The excellent consistence was observed between histological grade and molecular subtypes, ER, PR, Ki67. The difference of histological grade between the HER2 positive and negative group was statistically significant. In conclusion, there was closely association between molecular subtypes and NPI in breast cancer. For further comparing the prognostic significance of molecular subtypes and NPI, survival analyses should be performed on the same population in a large-scale prospective study.<br />Competing Interests: CONFLICTS OF INTEREST The authors declare no financial or commercial conflicts of interest.

Details

Language :
English
ISSN :
1949-2553
Volume :
8
Issue :
43
Database :
MEDLINE
Journal :
Oncotarget
Publication Type :
Academic Journal
Accession number :
29088770
Full Text :
https://doi.org/10.18632/oncotarget.18242