scholarly journals Theranostic probe for simultaneous in vivo photoacoustic imaging and confined photothermolysis by pulsed laser at 1064 nm in 4T1 breast cancer model

Nanoscale ◽  
2014 ◽  
Vol 6 (24) ◽  
pp. 15228-15235 ◽  
Author(s):  
Min Zhou ◽  
Geng Ku ◽  
Laura Pageon ◽  
Chun Li
Keyword(s):  
Breast Cancer ◽  
Photoacoustic Imaging ◽  
Pulsed Laser ◽  
Tumor Ablation ◽  
Cancer Model ◽  
Single Compartment ◽  
Breast Cancer Model ◽  
Nanoparticle System ◽  
4T1 Breast Cancer

A single-compartment nanoparticle system mediates dual photoacoustic imaging and confined thermolysis for tumor ablation.

scholarly journals Osteopontin binds ICOSL promoting tumor metastasis

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Davide Raineri ◽  
Chiara Dianzani ◽  
Giuseppe Cappellano ◽  
Federica Maione ◽  
Gianluca Baldanzi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Tumor Metastasis ◽  
Immune Checkpoints ◽  
Cancer Model ◽  
Therapeutic Approaches ◽  
Breast Cancer Model ◽  
4T1 Breast Cancer ◽  
Anti Tumor Activity

Abstract ICOSL/ICOS are costimulatory molecules pertaining to immune checkpoints; their binding transduces signals having anti-tumor activity. Osteopontin (OPN) is here identified as a ligand for ICOSL. OPN binds a different domain from that used by ICOS, and the binding induces a conformational change in OPN, exposing domains that are relevant for its functions. Here we show that in vitro, ICOSL triggering by OPN induces cell migration, while inhibiting anchorage-independent cell growth. The mouse 4T1 breast cancer model confirms these data. In vivo, OPN-triggering of ICOSL increases angiogenesis and tumor metastatization. The findings shed new light on ICOSL function and indicate that another partner beside ICOS may be involved; they also provide a rationale for developing alternative therapeutic approaches targeting this molecular trio.

The Immunostimulatory Effect of Biogenic Selenium Nanoparticles on the 4T1 Breast Cancer Model: an In Vivo Study

2012 ◽  
Vol 149 (1) ◽  
pp. 22-28 ◽  
Author(s):  
Mohammad Hossein Yazdi ◽  
Mehdi Mahdavi ◽  
Bardia Varastehmoradi ◽  
Mohammad Ali Faramarzi ◽  
Ahmad Reza Shahverdi
Keyword(s):  
Breast Cancer ◽  
Selenium Nanoparticles ◽  
In Vivo Study ◽  
Cancer Model ◽  
Immunostimulatory Effect ◽  
Breast Cancer Model ◽  
4T1 Breast Cancer ◽  
Biogenic Selenium Nanoparticles

Therapeutic monoclonal antibodies target phenotypically-differing human breast cancer

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 13510-13510
Author(s):  
S. E. Hahn ◽  
L. A. da Cruz ◽  
D. Sayegh ◽  
A. Ferry ◽  
K. O’Reilly ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Human Breast Cancer ◽  
In Vivo Studies ◽  
Tumor Growth Inhibition ◽  
Cancer Model ◽  
Human Breast ◽  
Breast Cancer Model ◽  
Cancer Tissues

13510 Background: CD44 (an adhesion molecule and stem cell antigen), CD59 (a complement-inhibitory molecule), MCSP (an adhesion and cell-cell interactions), and Trop-2 (EpCam a related signaling molecule) represent a group of biologically-significant cancer proteins acting through distinct mechanisms. We have described Abs with in vitro and in vivo cancer suppressive activity to this group of targets. However, their effectiveness depends on the phenotype of malignant cells; cell response should correlate with expression of its Ag, and tumor cells represent a heterogeneous group of non-synchronous cells. The present study describes the efficacy of those antibodies in breast cancer models and the prevalence of their antigen targets in a survey of human breast cancer tissues. Methods: In vivo activity of antibodies ARH460–16–2 (anti-CD44), AR36A36.11.1 (anti-CD59), AR11BD-2E11–2 (anti-MCSP), and AR47A6.4.2 (anti-Trop-2) in estrogen-dependent and hormone sensitive xenograft models of human breast cancer was examined. In addition, distribution of the antigens in breast cancer was determined by immunohistochemistry using tumor tissue arrays of breast cancer sections from distinct patients. Results: Treatment of an established breast cancer model with ARH460–16–2 resulted in 51% median tumor xenograft suppression (p<0.05), as well as increased survival in an MDA-MB-231 (breast cancer) grafted model. 63% of human breast cancer sections expressed the CD44 antigen. Treatment with anti-CD59 antibody AR36A36.11.1 resulted in 68% xenograft tumor suppression (p<0.005). AR47A6.4.2 anti-Trop-2 antibody bound to 100% of human breast cancer sections tested, and showed efficacy in the estrogen- dependent MCF-7 breast cancer model. Anti-MCSP antibody AR11BD-2E11–2 demonstrated 80% tumor growth inhibition (p<0.001), increased survival in an estrogen-dependent model of breast cancer, and was found to stain 62% of breast cancer tissues examined. Conclusions: The heterogeneity of breast cancer cell phenotypes in in vitro and in vivo studies and variable composite cellular antigen targets is the basis for the therapeutic use of multiple antibodies, each with independent mechanisms of action, and offers a rationale for combined antibody therapy in selected patients. [Table: see text]

scholarly journals In Vivo Lymphatic Imaging of a Human Inflammatory Breast Cancer Model

2014 ◽  
Vol 5 (9) ◽  
pp. 774-783 ◽  
Author(s):  
Germaine D. Agollah ◽  
Grace Wu ◽  
Eva M. Sevick-Muraca ◽  
Sunkuk Kwon
Keyword(s):  
Breast Cancer ◽  
Inflammatory Breast Cancer ◽  
Cancer Model ◽  
Breast Cancer Model ◽  
Lymphatic Imaging

Structure-based discovery of a small non-peptidic Neuropilins antagonist exerting in vitro and in vivo anti-tumor activity on breast cancer model

2014 ◽  
Vol 349 (2) ◽  
pp. 120-127 ◽  
Author(s):  
Lucia Borriello ◽  
Matthieu Montès ◽  
Yves Lepelletier ◽  
Bertrand Leforban ◽  
Wang-Qing Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Model ◽  
Breast Cancer Model ◽  
Anti Tumor Activity

In vivo Performance of a Ruthenium-cyclopentadienyl Compound in an Orthotopic 1 Triple Negative Breast Cancer Model

2016 ◽  
Vol 16 (999) ◽  
pp. 1-1 ◽  
Author(s):  
Nuno Mendes ◽  
Francisco Tortosa ◽  
Andreia Valente ◽  
Fernanda Marques ◽  
António Matos ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Cancer Model ◽  
Breast Cancer Model
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