scholarly journals Estrogen as an Essential Resource and the Coexistence of ER+ and ER– Cancer Cells

2021 ◽  
Vol 9 ◽  
Author(s):  
Irina Kareva ◽  
Joel S. Brown

Diagnosis of estrogen sensitivity in breast cancer is largely predicated on the ratio of ER+ and ER– cancer cells obtained from biopsies. Estrogen is a growth factor necessary for cell survival and division. It can also be thought of as an essential resource that can act in association with other nutrients, glucose, glutamine, fatty acids, amino acids, etc. All of these nutrients, collectively or individually, may limit the growth of the cancer cells (Liebig’s Law of the Minimum). Here we model estrogen susceptibility in breast cancer as a consumer-resource interaction: ER+ cells require both estrogen and glucose as essential resources, whereas ER– only require the general resource. The model predicts that when estrogen is the limiting factor, other nutrients may go unconsumed and available at higher levels, thus permitting the invasion of ER– cells. Conversely, when ER– cells are less efficient on glucose than ER+ cells, then ER– cells limited by glucose may be susceptible to invasion by ER+ cells, provided that sufficient levels of estrogen are available. ER+ cells will outcompete ER– cells when estrogen is abundant, resulting in low concentrations of interstitial glucose within the tumor. In the absence of estrogen, ER– cells will outcompete ER+ cells, leaving a higher concentration of interstitial glucose. At intermediate delivery rates of estrogen and glucose, ER+ and ER– cells are predicted to coexist. In modeling the dynamics of cells in the same tumor with different resource requirements, we can apply concepts and terms familiar to many ecologists. These include: resource supply points, R∗, ZNGI (zero net growth isoclines), resource depletion, and resource uptake rates. Based on the circumstances favoring ER+ vs. ER– breast cancer, we use the model to explore the consequences of therapeutic regimens that may include hormonal therapies, possible roles of diet in changing cancer cell composition, and potential for evolutionarily informed therapies. More generally, the model invites the viewpoint that cancer’s eco-evolutionary dynamics are a consumer-resource interaction, and that other growth factors such as EGFR or androgens may be best viewed as essential resources within these dynamics.

2015 ◽  
Author(s):  
Chun Chen ◽  
John J. Tyson ◽  
William Baumann

We present a mathematical model that captures the transitions among three experimentally observed estrogen sensitivity phenotypes in breast cancer cells. Based on this model, a population-level model is created and used to explore the optimization of a therapeutic protocol


2017 ◽  
Vol 12 (5) ◽  
pp. 1934578X1701200 ◽  
Author(s):  
Masayo Suzuki ◽  
Shuso Takeda ◽  
Hiroyuki Okazaki ◽  
Kazuhito Watanabe ◽  
Masufumi Takiguchi ◽  
...  

We reported that cannabidiolic acid (CBDA), a non-psychotropic constituent of fiber-type cannabis plants, down-regulates the mRNA expression of cyclooxygenase-2 (COX-2) in highly aggressive MDA-MB-231 human breast cancer cells. However, the molecular mechanism(s) underlying the CBDA suppression of COX-2 have not yet been elucidated in detail. In MDA-MB-231 cells, COX-2 expression is known to be tightly regulated by the transcriptional activity of activator protein-1 (AP-1), which is composed of a heterodimer of c-Fos and c-Jun. AP-1-mediated transcriptional activity was inhibited by CBDA in a dose-dependent manner. The expression of c-fos was maintained at markedly lower levels (0.035) than basal c-jun expression levels (1.0), implicating c-fos as a limiting factor in the regulation of COX-2. Analyses indicated that CBDA abrogated the expression of c-fos mRNA without affecting c-jun. Collectively, these results suggest that CBDA abolishes the expression of COX-2 by interfering with AP-1 activity in MDA-MB-231 cells.


Nutrients ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2839 ◽  
Author(s):  
Laetitia Delort ◽  
Lauriane Bougaret ◽  
Juliette Cholet ◽  
Marion Vermerie ◽  
Hermine Billard ◽  
...  

Obesity, a recognized risk factor for breast cancer in postmenopausal women, is associated with higher mortality rates regardless of menopausal status, which could in part be explained by therapeutic escape. Indeed, adipose microenvironment has been described to influence the efficiency of chemo- and hormonal therapies. Residual cancer stem cells could also have a key role in this process. To understand the mechanisms involved in the reduced efficacy of hormonal therapy on breast cancer cells in the presence of adipose secretome, human adipose stem cells (hMAD cell line) differentiated into mature adipocytes were co-cultured with mammary breast cancer cells and treated with hormonal therapies (tamoxifen, fulvestrant). Proliferation and apoptosis were measured (fluorescence test, impedancemetry, cytometry) and the gene expression profile was evaluated. Cancer stem cells were isolated from mammospheres made from MCF-7. The impact of chemo- and hormonal therapies and leptin was evaluated in this population. hMAD-differentiated mature adipocytes and their secretions were able to increase mammary cancer cell proliferation and to suppress the antiproliferative effect of tamoxifen, confirming previous data and validating our model. Apoptosis and cell cycle did not seem to be involved in this process. The evaluation of gene expression profiles suggested that STAT3 could be a possible target. On the contrary, leptin did not seem to be involved. The study of isolated cancer stem cells revealed that their proliferation was stimulated in the presence of anticancer therapies (tamoxifen, fulvestrant, doxorubicine) and leptin. Our study confirmed the role of adipocytes and their secretome, but above all, the role of communication between adipose and cancer cells in interfering with the efficiency of hormonal therapy. Among the pathophysiological mechanisms involved, leptin does not seem to interfere with the estrogenic pathway but seems to promote the proliferation of cancer stem cells.


2010 ◽  
Vol 34 (8) ◽  
pp. S49-S49
Author(s):  
Lei Wang ◽  
Xun Zhou ◽  
Lihong Zhou ◽  
Yong Chen ◽  
Xun Zhu ◽  
...  

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