scholarly journals Epidemiology and survival outcome of breast cancer in a nationwide study

Oncotarget ◽  
2017 ◽  
Vol 8 (10) ◽  
pp. 16939-16950 ◽  
Author(s):  
Fu-Chao Liu ◽  
Huan-Tang Lin ◽  
Chang-Fu Kuo ◽  
Lai-Chu See ◽  
Meng-Jiun Chiou ◽  
...  
2006 ◽  
Vol 10 (S1) ◽  
pp. S248-S248
Author(s):  
V. Peuckmann ◽  
O. Ekholm ◽  
N.K. Rasmussen ◽  
S. Moller ◽  
P. Christiansen ◽  
...  

2016 ◽  
Vol 27 ◽  
pp. vi479
Author(s):  
H.A. Mandaliya ◽  
C. Oldmeadow ◽  
T. Evans ◽  
P. Troke ◽  
M. George

2018 ◽  
Vol 174 (1) ◽  
pp. 237-248 ◽  
Author(s):  
Roger J. Zoorob ◽  
Jason L. Salemi ◽  
Maria C. Mejia de Grubb ◽  
Sanjukta Modak ◽  
Robert S. Levine

2020 ◽  
Vol 152 ◽  
pp. 70-77
Author(s):  
Vikneswary Batumalai ◽  
Geoff P Delaney ◽  
Joseph Descallar ◽  
Gabriel Gabriel ◽  
Karen Wong ◽  
...  

2020 ◽  
Author(s):  
Toshiaki Iwase ◽  
Kenichi Harano ◽  
Hiroko Masuda ◽  
Kumiko Kida ◽  
Kenneth R. Hess ◽  
...  

Abstract Purpose: The purpose of this study was to determine the prognostic role of hormone receptor (HR) on inflammatory breast cancer (IBC) to elucidate its aggressive biological behavior.Methods: We evaluated the expression of estrogen receptor (ER) and progesterone receptor (PR) by immunohistochemical staining and determined the predictive and prognostic role of HR expression on 189 patients with HR+/HER2– IBC and 677 patients with HR+/HER2– stage III non-IBC. Furthermore, we performed gene expression (GE) analyses for 137 patients with HR+/HER2– IBC and 252 patients with corresponding non-IBC to detect genes that are specifically overexpressed in IBC.Results: The expression of ER% was significantly associated with longer distant disease-free survival and overall survival. However, there was no significant relationship between ER% and NAC outcome. In the GE study, 84 genes were identified as significantly distinguishing HR+ IBC from non-IBC. Among the top 15 canonical pathways expressed in IBC, the ERK/MAPK, PDGF, insulin receptor, and IL-7 signaling pathways were associated with the ER signaling pathway. Upregulation of the MYC gene was observed in three of these four pathways. Furthermore, HR+/HER2– IBC had significantly higher MYC amplification, and the genetic alteration was associated with poor survival outcome.Conclusions: Increased HR positivity was significantly associated with improved survival in both HR+/HER2– IBC and HR+/HER2– stage III non-IBC patients. HR+/HER2– IBC had several activated pathways with MYC upregulation, and the genetic alteration was associated with poor survival outcome. The results indicate that MYC may be a key gene for understanding the biology of HR+/HER2– IBC.


2021 ◽  
Vol 20 (1) ◽  
pp. 1
Author(s):  
DK Vijaykumar ◽  
Patel Viral ◽  
K Pavithran ◽  
K Beena ◽  
Ajil Shaji

2020 ◽  
Vol 9 (1) ◽  
pp. 1589-1592

The second most causative disease is breast cancer happening in women and a significant explanation behind expanding death rate among women. Observed rates of this cancer are increasing with industrialization and also with early detection facilities. As the finding of this ailment physically takes extended periods and the lesser accessibility of frameworks, there is a need to build up the programmed determination framework for early identification of malignant growth. We have used machine learning classification techniques to categorize benign and malignant tumors, in which the machine learns from past data and predicts the new input category. Models like logistic regression and Random Forest are Done on the UCI dataset. Our experiments have indicated that Random Forest has the best prescient examination with exactness of ~96%.


Sign in / Sign up

Export Citation Format

Share Document