scholarly journals Hedgehog Related Protein Expression in Breast Cancer: Gli-2 Is Associated with Poor Overall Survival

2013 ◽  
Vol 47 (2) ◽  
pp. 116 ◽  
Author(s):  
Soyoung Im ◽  
Hyun Joo Choi ◽  
Changyoung Yoo ◽  
Ji-Han Jung ◽  
Ye-Won Jeon ◽  
...  
2016 ◽  
Vol 19 (1) ◽  
pp. 53 ◽  
Author(s):  
Si-Hyong Jang ◽  
Jong Eun Lee ◽  
Mee-Hye Oh ◽  
Ji-Hye Lee ◽  
Hyun Deuk Cho ◽  
...  

2018 ◽  
Vol 71 (9) ◽  
pp. 787-794 ◽  
Author(s):  
Stephanie Robertson ◽  
Gustav Stålhammar ◽  
Eva Darai-Ramqvist ◽  
Mattias Rantalainen ◽  
Nicholas P Tobin ◽  
...  

AimsThe accuracy of biomarker assessment in breast pathology is vital for therapy decisions. The therapy predictive and prognostic biomarkers oestrogen receptor (ER), progesterone receptor, HER2 and Ki67 may act as surrogates to gene expression profiling of breast cancer. The aims of this study were to investigate the concordance of consecutive biomarker assessment by immunocytochemistry on preoperative fine-needle aspiration cytology versus immunohistochemistry (IHC) on the corresponding resected breast tumours. Further, to investigate the concordance with molecular subtype and correlation to stage and outcome.MethodsTwo retrospective cohorts comprising 385 breast tumours with clinicopathological data including gene expression-based subtype and up to 10-year overall survival data were evaluated.ResultsIn both cohorts, we identified a substantial variation in Ki67 index between cytology and histology and a switch between low and high proliferation within the same tumour in 121/360 cases. ER evaluations were discordant in only 1.5% of the tumours. From cohort 2, gene expression data with PAM50 subtype were used to correlate surrogate subtypes. IHC-based surrogate classification could identify the correct molecular subtype in 60% and 64% of patients by cytology (n=63) and surgical resections (n=73), respectively. Furthermore, high Ki67 in surgical resections but not in cytology was associated with poor overall survival and higher probability for axillary lymph node metastasis.ConclusionsThis study shows considerable differences in the prognostic value of Ki67 but not ER in breast cancer depending on the diagnostic method. Furthermore, our findings show that both methods are insufficient in predicting true molecular subtypes.


2015 ◽  
Vol 5 (3) ◽  
pp. e1115177 ◽  
Author(s):  
Maija Hollmén ◽  
Sinem Karaman ◽  
Simon Schwager ◽  
Angela Lisibach ◽  
Ailsa J. Christiansen ◽  
...  

2021 ◽  
Vol 22 (3) ◽  
pp. 757-766
Author(s):  
Kristanto Yarso ◽  
Monica Bellynda ◽  
Akhmad Azmiardi ◽  
Brian Wasita ◽  
Didik Heriyanto ◽  
...  

2018 ◽  
Vol 2 (2) ◽  
pp. 111-116
Author(s):  
Lizhou Jia ◽  
◽  
Xiaobing Yang ◽  
Wei Zhao

Oncotarget ◽  
2021 ◽  
Vol 12 (24) ◽  
pp. 2436-2437
Author(s):  
Hsiang-Chih Lu ◽  
Vanessa Eulo ◽  
Anthony J. Apicelli ◽  
Melike Pekmezci ◽  
Yu Tao ◽  
...  

2020 ◽  
Vol 10 (4) ◽  
pp. 277
Author(s):  
Ioana-Ecaterina Pralea ◽  
Radu-Cristian Moldovan ◽  
Adrian-Bogdan Țigu ◽  
Corina Ionescu ◽  
Cristina-Adela Iuga

Triple-negative breast cancer (TNBC) represents an unmet medical need due to a high rate of metastatic occurrence and poor overall survival, pathology aggressiveness, heterogeneous clinical behavior and limited cytotoxic chemotherapy options available because of the absence of targetable receptors. The current standard of care in TNBC is represented by chemotherapy and surgery associated with low overall survival and high relapse rates. Hopes of overcoming current limited and unspecific approaches of TNBC therapy lie in studying the metabolic rewiring of these types of breast cancer, thus understanding the mechanisms involved in the occurrence and progression of the disease. Due to its heterogeneity, a clinically relevant sub-classification of this type of breast cancer based on biomarker panels is greatly needed in order to guide treatment decisions. Mass spectrometry-based omics may provide very useful tools to address the current needs of targetable biomarker discovery and validation. The present review aims to provide a comprehensive view of the current clinical diagnosis and therapy of TNBC highlighting the need for a new approach. Therefore, this paper offers a detailed mass spectrometry-based snapshot of TNBC metabolic adjustment, emphasizing a complex network of variables governing the diverse and aggressive clinical behavior of TNBC.


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