Results 91 to 100 of about 2,969,444 (397)

In vitro and in vivo inhibition of breast cancer cell growth by targeting the Hedgehog/GLI pathway with SMO (GDC-0449) or GLI (GANT-61) inhibitors. [PDF]

, 2016
Aberrant Hedgehog (Hh)/glioma-associated oncogene (GLI) signaling has been implicated in cancer progression. Here, we analyzed GLI1, Sonic Hedgehog (Shh) and NF-κB expression in 51 breast cancer (ductal carcinoma) tissues using immunohistochemistry ...
Bei, R., Benvenuto, M, Bonanno, E, Cucchi, Danilo, DE SMAELE, Enrico, DI STEFANO, Enrica, Fantini, M, Frajese, Gv, Gulino, Alberto, Masuelli, Laura, Mattera, Rosanna, Modesti, A, Orlandi, A, Screpanti, Isabella   +13 more
core   +1 more source

Circulating tumor cells in metastatic breast cancer patients treated with immune checkpoint inhibitors – a biomarker analysis of the ALICE and ICON trials

Molecular Oncology, EarlyView.
In this explorative biomarker analysis, we assessed serial sampling of circulating tumor cells (CTCs) with CellSearch in two randomized trials testing immune checkpoint inhibitors (ICIs) in metastatic breast cancer. Our data demonstrate a prognostic potential of CTCs, most apparent 4 weeks into ICI therapy.
Nikolai Kragøe Andresen, Andreas Hagen Røssevold, Elin Borgen, Cecilie Bendigtsen Schirmer, Bjørnar Gilje, Øystein Garred, Jon Lømo, Marius Stensland, Oddmund Nordgård, Ragnhild Sørum Falk, Randi R. Mathiesen, Hege G. Russnes, Jon Amund Kyte, Bjørn Naume   +13 more
wiley   +1 more source

A Deep Analysis of Transfer Learning Based Breast Cancer Detection Using Histopathology Images [PDF]

arXiv, 2023
Breast cancer is one of the most common and dangerous cancers in women, while it can also afflict men. Breast cancer treatment and detection are greatly aided by the use of histopathological images since they contain sufficient phenotypic data. A Deep Neural Network (DNN) is commonly employed to improve accuracy and breast cancer detection.
arxiv  

I. The Results of Radical Operations for the Cure of Carcinoma of the Breast.

Annals of Surgery, 1907
It is especially true of breast cancer that the surgeon interested in furnishing the best statistics may in perfectly honorable ways provide them. The most conscientious man may refuse to operate upon any but favorable cases, and, by performing an ...
W. Halsted
semanticscholar   +1 more source

Circulating tumor cells: advancing personalized therapy in small cell lung cancer patients

Molecular Oncology, EarlyView.
Small cell lung cancer (SCLC) is an aggressive form of lung cancer that spreads rapidly to secondary sites such as the brain and liver. Cancer cells circulating in the blood, “circulating tumor cells” (CTCs), have demonstrated prognostic value in SCLC, and evaluating biomarkers on CTCs could guide treatment decisions such as for PARP inhibitors ...
Prajwol Shrestha, Steven Kao, Veronica K. Cheung, Wendy A. Cooper, Nico van Zandwijk, John E. J. Rasko, Dannel Yeo   +6 more
wiley   +1 more source

Using convolutional neural networks for the classification of breast cancer images [PDF]

arXiv, 2021
An important part of breast cancer staging is the assessment of the sentinel axillary node for early signs of tumor spreading. However, this assessment by pathologists is not always easy and retrospective surveys often requalify the status of a high proportion of sentinel nodes.
arxiv  

Carcinoma En Cuirasse: A Rare but Striking Cutaneous Manifestation of Metastatic Breast Cancer [PDF]

, 2023
Carcinoma en cuirasse is a rare cutaneous metastatic presentation of breast cancer with a poor prognosis. We report a female in her 70s with a prior history of left breast ductal carcinoma in situ status post-radiation and lumpectomy who presented with ...
Dabak, Vrushali, Godbole, Manasi, Wani, Kashmira, Zia, Shereen Q   +3 more
core   +1 more source

Myoepithelial Carcinoma of the Breast

JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH, 2013
Breast carcinoma is the commonest cancer among females in a majority of the Indian cities. The advances in the research and management have improved the breast cancer survival significantly in the past three decades globally. Adenocarcinoma is the commonest histological variant which arises from the ductal epithelia.
Bipin Singh Th, Kemba Padu, Th Sudhir Chandra Singh, M Birkumar Sharma, Santhosh R   +4 more
openaire   +4 more sources

Classification of breast cancer histology images using Convolutional Neural Networks

PLoS ONE, 2017
Breast cancer is one of the main causes of cancer death worldwide. The diagnosis of biopsy tissue with hematoxylin and eosin stained images is non-trivial and specialists often disagree on the final diagnosis.
Teresa Araújo, Guilherme Aresta, E. Castro, José Rouco, Paulo Aguiar, C. Eloy, A. Polónia, A. Campilho   +7 more
semanticscholar   +1 more source

A comparative study of circulating tumor cell isolation and enumeration technologies in lung cancer

Molecular Oncology, EarlyView.
Lung cancer cells were spiked into donor blood to evaluate the recovery rates of the following circulating tumor cell (CTC) enrichment technologies: CellMag™, EasySep™, RosetteSep™, Parsortix® PR1, and Parsortix® Prototype systems. Each method's advantages and disadvantages are described.
Volga M Saini, Ezgi Oner, Mark P. Ward, Sinead Hurley, Brian David Henderson, Faye Lewis, Stephen P. Finn, Gerard J. Fitzmaurice, John J. O'Leary, Sharon O'Toole, Lorraine O'Driscoll, Kathy Gately   +11 more
wiley   +1 more source