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Preparation and Characterization of Letrozole-Loaded Poly (D,L-Lactide) Nanoparticles for Breast Cancer Therapy
(
Hamad bin Khalifa University Press (HBKU Press)
, 2016 , Conference Paper)
Introduction: Breast cancer has been ranked first as the most prevalent type of cancer and the leading cause of cancer-related mortality among women worldwide. Letrozole (LTZ), an aromatase inhibitor, has been shown to be ...
Nanoparticle-mediated targeted drug delivery for breast cancer treatment
(
Elsevier B.V.
, 2019 , Article Review)
Breast cancer (BC) is the most common malignancy in women worldwide, and one of the deadliest after lung cancer. Currently, standard methods for cancer therapy including BC are surgery followed by chemotherapy or radiotherapy. ...
A simple model for cell type recognition using 2D-correlation analysis of FTIR images from breast cancer tissue
(
Elsevier B.V.
, 2018 , Article)
Breast cancer is the second most common cancer after lung cancer. So far, in clinical practice, most cancer parameters originating from histopathology rely on the visualization by a pathologist of microscopic structures ...
Advanced antifouling zwitterionic layer based impedimetric HER2 biosensing in human serum: Glycoprofiling as a novel approach for breast cancer diagnostics
(
Elsevier B.V.
, 2018 , Article)
There are two key novel components presented here behind identification of potential novel breast cancer (BCa) diagnostic approach: 1. application of photoimmobilizable zwitterionic hydrogels resisting non-specific protein ...
PD-L1 status in breast cancer: Current view and perspectives.
(
Elsevier
, 2019 , Article)
Breast cancer was traditionally not considered a particularly immunogenic tumor. However, recent developments have shown that some aggressive triple-negative breast cancers are immunogenic, exhibit a resistance to chemotherapy ...
Breast cancer image classification using pattern-based Hyper Conceptual Sampling method
(
Elsevier Ltd
, 2018 , Article)
The increase in biomedical data has given rise to the need for developing data sampling techniques. With the emergence of big data and the rise of popularity of data science, sampling or reduction techniques have been ...
Exposure to EGF and 17-estradiol irreversibly affects the proliferation and transformation of MCF7 cells but is not sufficient to promote tumor growth in a xenograft mouse model upon withdrawal of exposure
(
Spandidos Publications
, 2018 , Article)
Epidermal growth factor (EGF) and estrogen are potent regulators of breast tumorigenesis. Their short‑term actions on human breast epithelial cells have been investigated extensively. However, the consequence of a long‑term ...
In vitro and in vivo efficacy of a novel quinuclidinone derivative against breast cancer
(
International Institute of Anticancer Research
, 2014 , Other)
Previously, our laboratory reported on novel quinuclidinone derivatives that cause cytotoxicity in human non-small lung carcinoma epithelial cells null for p53 (H1299). The current study aims to investigate the effect of ...