Evaluation and optimization of pH-responsive niosomes as a carrier for efficient treatment of breast cancer

2018 ◽  
Vol 8 (3) ◽  
pp. 633-644 ◽  
Author(s):  
Heba F. Salem ◽  
Rasha M. Kharshoum ◽  
Fatma I. Abo El-Ela ◽  
Amr Gamal F ◽  
Khaled R. A. Abdellatif
Theranostics ◽  
2016 ◽  
Vol 6 (1) ◽  
pp. 14-27 ◽  
Author(s):  
Haijun Yu ◽  
Chengyue Guo ◽  
Bing Feng ◽  
Jianping Liu ◽  
Xianzhi Chen ◽  
...  

2020 ◽  
Vol 7 (1) ◽  
pp. 164-168
Author(s):  
Florica Sandru ◽  
Mihai Cristian Dumitrascu ◽  
Aida Petca ◽  
Raluca Gabriela Miulescu ◽  
Tiberiu Tebeica ◽  
...  

Metastatic cutaneous lesions are seen more commonly in breast cancer than in any other malignancy in women. Secondary breast cancer happens when cancer cells spread from the breast to other parts of the body. Sometimes breast cancer cells can spread to the skin. This can happen through the blood or lymphatic system. The presence of skin metastases signifies widespread systemic disease and a poor prognosis. The chest wall, the abdomen, the back, and the upper extremities are common sites.We present the case of a 69-year-old woman presented to our Surgery Department in June 2019, after appearing in the Dermatology Department a week ago, for the appearance of multiple subcutaneous painless, hardened, skin-colored nodules spread to the cervical region, anterior chest walls and upper limbs. Anatomopathological examination of the skin biopsy, performed on the anterior face of the left arm, showed dermal fragment with neoplastic, suggestive for lobular breast carcinoma (stage IV). The patient was referred to the oncological surgery department where our patient underwent a left total mastectomy and sentinel lymph node biopsy. The technique of mastectomy was the Madden technique. The surgery has no healing character, being more a necessity intervention that seeks to avoid the complications of the local evolution of the disease, such as ulceration, hemorrhage or suppuration, the possibility of applying the other forms of treatment (radiotherapy and / or polychemotherapy), elimination of a source of permanent metastatic sowing thus leading to more efficient treatment.


2020 ◽  
Vol 148 ◽  
pp. 111780 ◽  
Author(s):  
Weiqing Xu ◽  
Lei Jiao ◽  
Huarong Ye ◽  
Zhenzhong Guo ◽  
Yu Wu ◽  
...  

2015 ◽  
Author(s):  
Feng Li ◽  
Marilyn Saulsbury ◽  
Simone Heyliger ◽  
Mikhail Bondarev ◽  
Chengan Du ◽  
...  

2019 ◽  
Vol 16 (9) ◽  
pp. 3705-3711 ◽  
Author(s):  
Souad Larabi Marie-Sainte ◽  
Tanzila Saba ◽  
Deem Alsaleh ◽  
Mashael Bin Alamir Alotaibi

Breast Cancer is a common disease among females. Early detection of the Breast Cancer aids in an easier efficient treatment. The application of Machine Learning algorithms can help in the diagnosis of this disease. There are three main problems related to Breast Cancer. The existing works focused only on one problem. In addition, the resulted accuracy still needs improvement. This research paper aims to identify the Breast Cancer diagnosis, predict the recurrence of the disease, and predict the survivability of its patients. This is achieved by using the Feedforward Neural Network (FFN) on the SEER (Surveillance, Epidemiology, and End Results) dataset by using different attributes and preprocessing of data for each problem. The obtained FFN classification accuracy resulted in 99.8% for the Breast Cancer diagnosis, 88.1% for the Breast Cancer recurrence, and 97.3% for the survivability.


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