Abstract 2653: Anti-cancer antibody trastuzumab-melanotransferrin conjugate (BT2111) for the treatment of metastatic HER2+ breast cancer tumors in the brain: An in vivo study

Abstract Background Melittin, a peptide component of honey bee venom, is an appealing candidate for cancer therapy. In the current study, melittin, melittin-loaded niosome, and empty niosome had been optimized and the anticancer effect assessed in vitro on 4T1 and SKBR3 breast cell lines and in vivo on BALB/C inbred mice. "Thin-layer hydration method" was used for preparing the niosomes; different niosomal formulations of melittin were prepared and characterized in terms of morphology, size, polydispersity index, encapsulation efficiency, release kinetics, and stability. A niosome was formulated and loaded with melittin as a promising drug carrier system for chemotherapy of the breast cancer cells. Hemolysis, apoptosis, cell cytotoxicity, invasion and migration of selected concentrations of melittin, and melittin-loaded niosome were evaluated on 4T1 and SKBR3 cells using hemolytic activity assay, flow cytometry, MTT assay, soft agar colony assay, and wound healing assay. Real-time PCR was used to determine the gene expression. 40 BALB/c inbred mice were used; then, the histopathology, P53 immunohistochemical assay and estimate of renal and liver enzyme activity for all groups had been done. Results This study showed melittin-loaded niosome is an excellent substitute in breast cancer treatment due to enhanced targeting, encapsulation efficiency, PDI, and release rate and shows a high anticancer effect on cell lines. The melittin-loaded niosome affects the genes expression by studied cells were higher than other samples; down-regulates the expression of Bcl2, MMP2, and MMP9 genes while they up-regulate the expression of Bax, Caspase3 and Caspase9 genes. They have also enhanced the apoptosis rate and inhibited cell migration, invasion in both cell lines compared to the melittin samples. Results of histopathology showed reduce mitosis index, invasion and pleomorphism in melittin-loaded niosome. Renal and hepatic biomarker activity did not significantly differ in melittin-loaded niosome and melittin compared to healthy control. In immunohistochemistry, P53 expression did not show a significant change in all groups. Conclusions Our study successfully declares that melittin-loaded niosome had more anti-cancer effects than free melittin. This project has demonstrated that niosomes are suitable vesicle carriers for melittin, compare to the free form.

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Cytokeratin 7, GATA3, and SOX-10 is a Comprehensive Panel in Diagnosing Triple Negative Breast Cancer Brain Metastases

International Journal of Surgical Pathology ◽

10.1177/1066896921990717 ◽

2021 ◽

pp. 106689692199071

Author(s):

Eric Statz ◽

Julie M. Jorns

Keyword(s):

Breast Cancer ◽

Triple Negative Breast Cancer ◽

Triple Negative ◽

Metastatic Tumor ◽

Cytokeratin 7 ◽

Breast Cancer Metastases ◽

Her2 Breast Cancer ◽

Cancer Metastases ◽

Breast Cancer Brain Metastasis ◽

The Brain

Following lung cancer, breast cancer is the second most common metastatic tumor to the brain, of which triple-negative breast cancer (TNBC) and human epidermal growth factor receptor 2+ (HER2+) breast cancer are the most common subtypes. TNBC does not have standard immunoprofiles and can be difficult to distinguish from other metastases. A tissue microarray was created from 47 patients with breast cancer metastases to the brain and 12 paired breast primaries. Of 47 breast cancer metastases, 24 were HER2+, 14 were TNBC, and 9 were luminal. Forty-five were cytokeratin 7 (CK7) positive, 36 were GATA-binding protein 3 (GATA3) positive, 7 were Sry-related HMg-Box gene 10 (SOX-10) positive, 20 were mammaglobin positive, and 19 were gross cystic disease fluid protein 15 positive. At least one of the CK7, GATA3, or SOX-10 was positive in all TNBC metastases. A panel of CK7, GATA3, and SOX-10 is complementary in the diagnosis of breast cancer brain metastasis. SOX-10 appears to be a specific but not particularly sensitive marker in this context.

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O80: GREMLIN-1 PROMOTES TUMOURIGENESIS AND METASTASIS IN HER2 POSITIVE BREAST CANCER

British Journal of Surgery ◽

10.1093/bjs/znab117.080 ◽

2021 ◽

Vol 108 (Supplement_1) ◽

Author(s):

C Zabkiewicz ◽

L Ye ◽

R Hargest

Keyword(s):

Breast Cancer ◽

Cellular Growth ◽

Breast Cancers ◽

Her2 Positive ◽

Mesenchymal Transition ◽

Her2 Breast Cancer ◽

Bmp Signalling ◽

Gremlin 1

Abstract Introduction HER2 over-expression denotes poor prognosis in breast cancers.Bone morphogenetic protein(BMP) signalling is known to interact with EGF signalling, co-regulating breast cancer progression.BMP antagonist Gremlin-1 may influence breast cancer disease progression, but this remains unexplored in HER2 positive breast cancers. Method GREM1 and HER2 expression, and clinical outcomes were examined in clinical cohorts.GREM1 overexpression or pEF control plasmid were transduced into BT474 HER2+breast cancer cells. In vitro function tests using BT474 pEF and BT474GREM1cells include 2D/3D growth, migration, and expression of epithelial to mesenchymal transition(EMT)markers. Signalling cascades were examined in BT474 treated with RhGremlin-1. In vivo, BALB/c nude mice underwent either mammary injection or intra-cardiac injection of BT474pEF or BT474GREM1 cells and disease burden assessed. Result GREM1 expression correlates with HER2 in breast tumours(p=0.03) and is higher in metastatic HER2 positive cancers (p = 0.04). HER2 positive patients with high GREM1 have poor survival(p = 0.0002). BT474GREM1cells have up-regulated markers of EMT compared to control. BT474 RhGremlin-1 treated cells have active AKT pathway signalling, independent of BMP signalling. In vitro, BT474GREM1cells significantly proliferate and migrate compared to control(p<0.05 and p < 0.001).This is confirmed in vivo, BT474GREM1 mice grew significantly larger mammary tumours(p<0.05) and had more PETCT metastatic hotspots. Conclusion Gremlin-1 is correlated with poor outcomes in HER2 patients and promotes breast cancer cellular growth, migration and metastasis.Gremlin-1 is a novel area of research with potential as a prognostic biomarker and therapeutic target for personalised, effective, breast cancer outcomes. Take-home message BMP antagonists are gaining interest for their potential in breast cancer prognosis and therapeutics.This novel area of research shows BMP antagonist Gremlin-1 is of importance in HER2 positive breast cancers. DRAGONS DEN

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Metformin induces Ferroptosis by inhibiting UFMylation of SLC7A11 in breast cancer

Journal of Experimental & Clinical Cancer Research ◽

10.1186/s13046-021-02012-7 ◽

2021 ◽

Vol 40 (1) ◽

Author(s):

Jingjing Yang ◽

Yulu Zhou ◽

Shuduo Xie ◽

Ji Wang ◽

Zhaoqing Li ◽

...

Keyword(s):

Breast Cancer ◽

Cancer Treatment ◽

Morphological Changes ◽

Tumor Model ◽

Independent Manner ◽

Regulated Cell Death ◽

Anti Cancer ◽

Cancer Agent ◽

Approved Drugs

Abstract Background Ferroptosis is a newly defined form of regulated cell death characterized by the iron-dependent accumulation of lipid peroxidation and is involved in various pathophysiological conditions, including cancer. Targeting ferroptosis is considered to be a novel anti-cancer strategy. The identification of FDA-approved drugs as ferroptosis inducers is proposed to be a new promising approach for cancer treatment. Despite a growing body of evidence indicating the potential efficacy of the anti-diabetic metformin as an anti-cancer agent, the exact mechanism underlying this efficacy has not yet been fully elucidated. Methods The UFMylation of SLC7A11 is detected by immunoprecipitation and the expression of UFM1 and SLC7A11 in tumor tissues was detected by immunohistochemical staining. The level of ferroptosis is determined by the level of free iron, total/lipid Ros and GSH in the cells and the morphological changes of mitochondria are observed by transmission electron microscope. The mechanism in vivo was verified by in situ implantation tumor model in nude mice. Results Metformin induces ferroptosis in an AMPK-independent manner to suppress tumor growth. Mechanistically, we demonstrate that metformin increases the intracellular Fe2+ and lipid ROS levels. Specifically, metformin reduces the protein stability of SLC7A11, which is a critical ferroptosis regulator, by inhibiting its UFMylation process. Furthermore, metformin combined with sulfasalazine, the system xc− inhibitor, can work in a synergistic manner to induce ferroptosis and inhibit the proliferation of breast cancer cells. Conclusions This study is the first to demonstrate that the ability of metformin to induce ferroptosis may be a novel mechanism underlying its anti-cancer effect. In addition, we identified SLC7A11 as a new UFMylation substrate and found that targeting the UFM1/SLC7A11 pathway could be a promising cancer treatment strategy.

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Prevascularized, Co-Culture Model for Breast Cancer Drug Development

ASME 2012 Summer Bioengineering Conference, Parts A and B ◽

10.1115/sbc2012-80409 ◽

2012 ◽

Author(s):

Lauren Marshall ◽

Isabel Löwstedt ◽

Paul Gatenholm ◽

Joel Berry

Keyword(s):

Breast Cancer ◽

Drug Development ◽

Three Dimensional ◽

Human Tumor ◽

3D Models ◽

Cancer Drug ◽

Cancer Therapies ◽

Anti Cancer

The objective of this study was to create 3D engineered tissue models to accelerate identification of safe and efficacious breast cancer drug therapies. It is expected that this platform will dramatically reduce the time and costs associated with development and regulatory approval of anti-cancer therapies, currently a multi-billion dollar endeavor [1]. Existing two-dimensional (2D) in vitro and in vivo animal studies required for identification of effective cancer therapies account for much of the high costs of anti-cancer medications and health insurance premiums borne by patients, many of whom cannot afford it. An emerging paradigm in pharmaceutical drug development is the use of three-dimensional (3D) cell/biomaterial models that will accurately screen novel therapeutic compounds, repurpose existing compounds and terminate ineffective ones. In particular, identification of effective chemotherapies for breast cancer are anticipated to occur more quickly in 3D in vitro models than 2D in vitro environments and in vivo animal models, neither of which accurately mimic natural human tumor environments [2]. Moreover, these 3D models can be multi-cellular and designed with extracellular matrix (ECM) function and mechanical properties similar to that of natural in vivo cancer environments [3].

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