scholarly journals Loss of Cell-Surface Laminin Anchoring Promotes Tumor Growth and Is Associated with Poor Clinical Outcomes

2012 ◽  
Vol 72 (10) ◽  
pp. 2578-2588 ◽  
Author(s):  
Armin Akhavan ◽  
Obi L. Griffith ◽  
Liliana Soroceanu ◽  
Dmitri Leonoudakis ◽  
Maria Gloria Luciani-Torres ◽  
...  
2018 ◽  
Vol 74 (2) ◽  
pp. 157-164 ◽  
Author(s):  
Andrew G. McIntosh ◽  
Benjamin T. Ristau ◽  
Karen Ruth ◽  
Rachel Jennings ◽  
Eric Ross ◽  
...  

Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 625-625
Author(s):  
Yang Yang ◽  
Veronica MacLeod ◽  
Allison M. Theus ◽  
Ralph D. Sanderson ◽  
Fenghuang Zhan ◽  
...  

Abstract Syndecan-1 is a transmembrane heparan sulfate-bearing proteoglycan expressed on the surface of most myeloma tumor cells as well as some other tumors (e.g., breast cancer). The extracellular domain of syndecan-1 is shed from the surface of tumor cells by proteolytic enzymes and accumulates in the extracellular matrix and in the blood. High levels of soluble syndecan-1 in the blood are an indicator of poor prognosis for myeloma patients. Human heparanase-1 (heparanase) is an enzyme that releases biologically active fragments of heparan sulfate chains. In addition, growth factors within the tumor microenvironment that are bound to heparan sulfate are released by heparanase activity. In previous in vivo studies we demonstrated that enhanced expression of heparanase or soluble syndecan-1 by myeloma cells dramatically increases tumor growth and upregulates their spontaneous metastasis. We have now discovered that an increase in heparanase expression on tumor cells leads to enhanced expression, shedding and accumulation of syndecan-1 within the tumor microenvironment. One myeloma cell line and two breast cancer cell lines transfected with the cDNA for heparanase exhibit a dramatic increase in shed syndecan-1 as compared to equal number of control cells that were transfected with empty vector (2.7-fold, 6.3-fold and 17-fold increase over controls, respectively). This accumulation of syndecan-1 in the culture media was not accompanied by an increase in cell surface syndecan-1 levels as assessed by flow cytometry. Gene array analysis demonstrates that following transfection of the myeloma cell line with heparanase, the expression of the syndecan-1 gene is upregulated 1.4-fold. Together these findings suggest that expression of heparanase elevates syndecan-1 transcription and rate of shedding from the cell surface. To examine this further, ARH-77 cells, a B-lymphoblastoid cell line lacking significant expression of either syndecan-1 or heparanase, were transfected with the cDNA for heparanase. Following selection and confirmation that heparanase was stably expressed, the cells were analyzed by gene array and flow cytometry for syndecan-1 expression. Results show that expression of heparanase stimulates initiation of syndecan-1 transcription and expression on the cell surface. Karyotyping and analysis with a series of phenotypic markers for B cells show that the transfected ARH-77 cells maintain their general phenotype when syndecan-1 is upregulated by heparanase. Together these findings indicate that in addition to its role in cleaving heparan sulfate chains, the expression of heparanase upregulates the expression and shedding of syndecan-1 in tumor cells. Thus, the promotion by heparanase of tumor growth, angiogenesis and metastasis may, at least in part, be due to its positive effects on syndecan-1 expression and shedding which are also known to promote tumor progression in myeloma. Inhibitors of heparanase now being tested clinically may thus have the dual effect of blocking heparanase enzyme activity and decreasing syndecan-1 expression, both which could negatively affect tumor growth and metastasis.


2018 ◽  
Vol 36 (6_suppl) ◽  
pp. 31-31
Author(s):  
Ali Al-Hashimi ◽  
Richard Austin ◽  
Bobby Shayegan

31 Background: Prostate cancer (PC) is characterized by increased prothrombotic state due to enhanced tissue factor (TF) expression/procoagulant activity (PCA). We and others observed that GRP78, a molecular chaperone, is expressed on the surface of PC cells where it functions as a signaling receptor to promote cell proliferation and survival. Further, exposure of GRP78 on the surface of PC cells stimulates the production of anti-GRP78 autoantibodies in PC patients. We have reported that binding of these autoantibodies to cell surface GRP78 enhances TF PCA. We hypothesize that this autoantibody/cell surface GRP78 complex interaction increases PC progression and that disruption of this complex would represent a viable target for the treatment of advanced PC. Methods: Wild type, TF knockdown DU145 cells, and NOD/SCID mouse model system was used to investigate the effect of anti-GRP78 autoantibodies on tumor growth. Protein expression was determined using western blotting and qRT-PCR. TF activity was determined using the TF PCA continuous assay. Blood samples from patients diagnosed with PC were obtained from the Ontario Tumour Bank and St. Joseph’s Hamilton. Results: Pre-prostatectomy patients demonstrated high levels of anti-GRP78 autoantibodies (60-100µg/ml) vs. healthy individuals (5-10µg/ml). These titers were significantly reduced 24-weeks post prostatectomy. We show here that anti-GRP78 autoantibodies upregulate TF and its PCA through a mechanism involving depletion of ER Ca2+ stores. This very effect on ER Ca2+ stores also caused activation of the unfolded protein response, a pro-survival cellular pathway. Furthermore, these autoantibodies were shown to accelerate tumor growth in a NOD/SCID mouse model. Finally, heparin and low molecular weight heparin were shown to interfere with the binding of these antibodies to cancer cells and prevent PC cell activation. Conclusions: We have identified the function of an agent in patients' blood, anti-GRP78 autoantibodies, that correlate with PC stage in patients and increase TF PCA and promote PC progression in mice. The effect of this autoantibody can be reversed using heparin, thus, this acts as a new potential therapeutic target for PC.


2021 ◽  
Vol 6 (60) ◽  
pp. eabj7173
Author(s):  
Andrew H. Lichtman

A new high-throughput screening technique detected autoantibodies in COVID-19 patients specific for many different immunomodulatory extracellular and cell surface proteins, several of which were associated with disease severity and clinical outcomes.


2019 ◽  
pp. 1902542 ◽  
Author(s):  
Chunxiong Zheng ◽  
Qixue Wang ◽  
Ying Wang ◽  
Xinzhi Zhao ◽  
Kaimin Gao ◽  
...  

2017 ◽  
Vol 91 (21) ◽  
Author(s):  
Young-Chan Kwon ◽  
Reina Sasaki ◽  
Keith Meyer ◽  
Ranjit Ray

ABSTRACT Endoglin is part of the TGF-β receptor complex and has a crucial role in fibrogenesis and angiogenesis. It is also an important protein for tumor growth, survival, and cancer cell metastasis. In a previous study, we have shown that hepatitis C virus (HCV) infection induces epithelial-mesenchymal transition (EMT) state and cancer stem-like cell (CSC) properties in human hepatocytes. Our array data suggested that endoglin (CD105) mRNA is significantly upregulated in HCV-associated CSCs. In this study, we have observed increased endoglin expression on the cell surface of an HCV core-expressing hepatocellular carcinoma (HepG2) cell line or immortalized human hepatocytes (IHH) and activation of its downstream signaling molecules. The status of phospho-SMAD1/5 and the expression of inhibitor of DNA binding protein 1 (ID1) were upregulated in HCV-infected cells or viral core gene-transfected cells. Additionally, we observed upregulation of endoglin/ID1 mRNA expression in chronic HCV patient liver biopsy samples. CSC generation by HCV core protein was dependent on the endoglin signaling pathway using activin receptor-like kinase 1 (ALK1) Fc blocking peptide and endoglin small interfering RNA (siRNA). Further, follow-up from in vitro analysis suggested that the antiapoptosis Bcl2 protein, proliferation-related cyclin D1 protein, and CSC-associated Hes1, Notch1, Nanog, and Sox2 proteins are enhanced during infection or ectopic expression of HCV core protein. IMPORTANCE Endoglin plays a crucial role in fibrogenesis and angiogenesis and is an important protein for tumor growth, survival, and cancer cell metastasis. Endoglin enhances ALK1-SMAD1/5 signaling in different cell types, leading to increased proliferation and migration responses. We have observed endoglin expression on the HCV core-expressing cell surface of human hepatocyte origin and activation of phospho-SMAD1/5 and ID1 downstream signaling molecules. ID1 protein plays a role in CSC properties, and we found that this pathway is important for antiapoptotic and cell proliferation signaling. Blocking of endoglin-ALK1-SMAD1/5 might be a good candidate for therapy for liver cancer stem cells together with liver cirrhosis.


Oncogene ◽  
2001 ◽  
Vol 20 (26) ◽  
pp. 3399-3408 ◽  
Author(s):  
Thomas Ahrens ◽  
Jonathan P Sleeman ◽  
Christoph M Schempp ◽  
Norma Howells ◽  
Martin Hofmann ◽  
...  

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Pietro Mascheroni ◽  
Symeon Savvopoulos ◽  
Juan Carlos López Alfonso ◽  
Michael Meyer-Hermann ◽  
Haralampos Hatzikirou

Abstract Background In clinical practice, a plethora of medical examinations are conducted to assess the state of a patient’s pathology producing a variety of clinical data. However, investigation of these data faces two major challenges. Firstly, we lack the knowledge of the mechanisms involved in regulating these data variables, and secondly, data collection is sparse in time since it relies on patient’s clinical presentation. The former limits the predictive accuracy of clinical outcomes for any mechanistic model. The latter restrains any machine learning algorithm to accurately infer the corresponding disease dynamics. Methods Here, we propose a novel method, based on the Bayesian coupling of mathematical modeling and machine learning, aiming at improving individualized predictions by addressing the aforementioned challenges. Results We evaluate the proposed method on a synthetic dataset for brain tumor growth and analyze its performance in predicting two relevant clinical outputs. The method results in improved predictions in almost all simulated patients, especially for those with a late clinical presentation (>95% patients show improvements compared to standard mathematical modeling). In addition, we test the methodology in two additional settings dealing with real patient cohorts. In both cases, namely cancer growth in chronic lymphocytic leukemia and ovarian cancer, predictions show excellent agreement with reported clinical outcomes (around 60% reduction of mean squared error). Conclusions We show that the combination of machine learning and mathematical modeling approaches can lead to accurate predictions of clinical outputs in the context of data sparsity and limited knowledge of disease mechanisms.


1995 ◽  
Vol 108 (4) ◽  
pp. 1723-1733 ◽  
Author(s):  
A. Bartolazzi ◽  
D. Jackson ◽  
K. Bennett ◽  
A. Aruffo ◽  
R. Dickinson ◽  
...  

CD44 is a polymorphic cell surface glycoprotein, currently proposed to be the principal cell surface receptor for hyaluronan. However, different isoforms of CD44, expressed in human lymphoid tumor cells, appear to have distinct effects on the ability of the cells to attach to hyaluronan-coated surfaces and on their capacity to form tumors in vivo. In the present study, we address the mechanisms that may regulate CD44 isoform-dependent adhesion to hyaluronan. We use a human Burkitt lymphoma, stably transfected with six different alternatively spliced human CD44 isoforms, to determine their potential hyaluronan binding and tumor growth promoting roles. We show that transfectants expressing CD44 splice variants that contain variable exons 6–10, 7–10 and 8–10 adhere to hyaluronan-coated surfaces weakly and that corresponding tumor formation in vivo is delayed with respect to CD44-negative parental cell-derived tumors. Abundant shedding of these three isoforms may play a significant role in determining the rate of tumor development. Transfectants expressing variable exon 3, on the other hand, fail to display CD44-mediated adhesion to hyaluronan, but form bone marrow tumors rapidly following intravenous injection. These observations suggest that different mechanisms regulate CD44-mediated adhesion and tumor growth, and provide evidence that expression of exon v3 may confer novel ligand-binding properties.


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