scholarly journals The Roles of Oncogenes and Tumor Supressor Genes in Breast Cancer Pathogenesis

2020 ◽  
Vol 5 (5) ◽  
pp. 6-14
Author(s):  
Havva Hande Keser Sahin ◽  
Mustafa Sahin
Keyword(s):  
Breast Cancer ◽  
Tumor Supressor ◽  
Cancer Pathogenesis

scholarly journals The Motile Breast Cancer Phenotype Roles of Proteoglycans/Glycosaminoglycans

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Dragana Nikitovic ◽  
Katerina Kouvidi ◽  
Kallirroi Voudouri ◽  
Aikaterini Berdiaki ◽  
Evgenia Karousou ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Growth Factor ◽  
Growth Factor Receptor ◽  
Downstream Signaling ◽  
Insulin Growth Factor ◽  
Cancer Pathogenesis ◽  
Cellular Mediators ◽  
Epidermal Growth ◽  
Cancer Phenotype ◽  
Insulin Growth Factor Receptor

The consecutive stages of cancer growth and dissemination are obligatorily perpetrated through specific interactions of the tumor cells with their microenvironment. Importantly, cell-associated and tumor microenvironment glycosaminoglycans (GAGs)/proteoglycan (PG) content and distribution are markedly altered during tumor pathogenesis and progression. GAGs and PGs perform multiple functions in specific stages of the metastatic cascade due to their defined structure and ability to interact with both ligands and receptors regulating cancer pathogenesis. Thus, GAGs/PGs may modulate downstream signaling of key cellular mediators including insulin growth factor receptor (IGFR), epidermal growth factor receptor (EGFR), estrogen receptors (ERs), or Wnt members. In the present review we will focus on breast cancer motility in correlation with their GAG/PG content and critically discuss mechanisms involved. Furthermore, new approaches involving GAGs/PGs as potential prognostic/diagnostic markers or as therapeutic agents for cancer-related pathologies are being proposed.

Is it time to consider the Androgen receptor as a therapeutic target in breast cancer?

2021 ◽  
Vol 21 ◽  
Author(s):  
Melika Kooshki Forooshani ◽  
Rosa Scarpitta ◽  
Giuseppe Nicolò Fanelli ◽  
Mario Miccoli ◽  
Antonio Giuseppe Naccarato ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Estrogen Receptor ◽  
Androgen Receptor ◽  
Prognostic Impact ◽  
Nuclear Receptor Superfamily ◽  
Cancer Pathogenesis ◽  
Novel Biomarkers ◽  
Tumorigenic Mechanism

: Breast cancer (BC) is a heterogeneous disease and the most prevalent malignant tumor in women worldwide. The majority of BC cases are positive for estrogen receptor (ER) and progesterone receptor (PgR), both known to be involved in cancer pathogenesis, progression, and invasion. In line with this, hormonal deprivation therapy appears to be a useful tool and an effective treatment for these BC subtypes. Unfortunately, prognosis among patients with hormone-negative tumors or therapy-refractory and metastatic patients remains poor. Novel biomarkers are urgently needed in order to predict the course of the disease, make better therapy decisions and improve the overall survival of patients. In this respect, the androgen receptor (AR), a member of the hormonal nuclear receptor superfamily and ER and PgR, emerges as an interesting feature widely expressed in human BCs. Despite the advances, the precise tumorigenic mechanism of AR and the role of its endogenous ligands are yet not well-understood. In this review, we aim to elaborate on the prognostic impact of AR expression and current AR-targeting approaches based on previous studies investigating AR's role in different BC subtypes.

scholarly journals Obesity, Cholesterol Metabolism, and Breast Cancer Pathogenesis

2014 ◽  
Vol 74 (18) ◽  
pp. 4976-4982 ◽  
Author(s):  
Donald P. McDonnell ◽  
Sunghee Park ◽  
Matthew T. Goulet ◽  
Jeff Jasper ◽  
Suzanne E. Wardell ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cholesterol Metabolism ◽  
Cancer Pathogenesis

scholarly journals Transcriptional regulation of mixed lineage kinase 3 by estrogen and its implication in ER-positive breast cancer pathogenesis

Oncotarget ◽  
2017 ◽  
Vol 8 (20) ◽  
pp. 33172-33184 ◽  
Author(s):  
Navin Viswakarma ◽  
Rakesh Sathish Nair ◽  
Gautam Sondarva ◽  
Subhasis Das ◽  
Lucas Ibrahimi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Transcriptional Regulation ◽  
Mixed Lineage Kinase ◽  
Cancer Pathogenesis ◽  
Er Positive ◽  
Mixed Lineage Kinase 3 ◽  
Positive Breast Cancer
Sign in / Sign up

Export Citation Format

Share Document