Liquid biopsy in breast cancer: A comprehensive review

S Alimirzaie, M Bagherzadeh, MR Akbari - Clinical genetics, 2019 - Wiley Online Library
Breast cancer is the most common cancer among women worldwide. Due to its complexity in
nature, effective breast cancer treatment can encounter many challenges. Traditional …

[HTML][HTML] Promising applications of tumor spheroids and organoids for personalized medicine

Z Gilazieva, A Ponomarev, C Rutland, A Rizvanov… - Cancers, 2020 - mdpi.com
Simple Summary Presently, the investigation of the tumor is carried out using different
models. One of the promising areas is the creation of 3D tumor models, such as spheroids …

A multimodal deep neural network for human breast cancer prognosis prediction by integrating multi-dimensional data

D Sun, M Wang, A Li - IEEE/ACM transactions on …, 2018 - ieeexplore.ieee.org
Breast cancer is a highly aggressive type of cancer with very low median survival. Accurate
prognosis prediction of breast cancer can spare a significant number of patients from …

[HTML][HTML] Canine mammary tumors as a model for human disease

SM Abdelmegeed, S Mohammed - Oncology letters, 2018 - spandidos-publications.com
Animal models for examining human breast cancer (HBC) carcinogenesis have been
extensively studied and proposed. With the recent advent of immunotherapy, significant …

PD‐L1 promotes OCT4 and Nanog expression in breast cancer stem cells by sustaining PI3K/AKT pathway activation

S Almozyan, D Colak, F Mansour… - … journal of cancer, 2017 - Wiley Online Library
The expression of PD‐L1 in breast cancer is associated with estrogen receptor negativity,
chemoresistance and epithelial‐to‐mesenchymal transition (EMT), all of which are common …

[HTML][HTML] Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancer

H Chereda, A Bleckmann, K Menck, J Perera-Bel… - Genome medicine, 2021 - Springer
Background Contemporary deep learning approaches show cutting-edge performance in a
variety of complex prediction tasks. Nonetheless, the application of deep learning in …

Highly sensitive surface-enhanced Raman scattering (SERS) imaging for phenotypic diagnosis and therapeutic evaluation of breast cancer

C Qiu, W Zhang, Y Zhou, H Cui, Y Xing, F Yu… - Chemical Engineering …, 2023 - Elsevier
The invasion and metastasis of breast cancer are closely related to various biomarkers
expressed on the surface of tumor cells and the tumor microenvironment. The deficiency of …

Breast cancer‐specific survival by clinical subtype after 7 years follow‐up of young and elderly women in a nationwide cohort

ALV Johansson, CB Trewin, KV Hjerkind… - … journal of cancer, 2019 - Wiley Online Library
Age and tumor subtype are prognostic factors for breast cancer survival, but it is unclear
which matters the most. We used population‐based data to address this question. We …

Challenges in the management of advanced, ER-positive, HER2-negative breast cancer

CD Hart, I Migliaccio, L Malorni, C Guarducci… - Nature reviews Clinical …, 2015 - nature.com
Hormone-receptor-positive breast cancer accounts for the majority—up to 80%—of all breast
cancers. The evolution of breast cancer from early stage to the metastatic setting leads to …

[HTML][HTML] Challenges and perspectives in the treatment of diabetes associated breast cancer

SM Samuel, E Varghese, S Varghese… - Cancer treatment …, 2018 - Elsevier
Type 2 diabetes mellitus is one of the most common chronic disease worldwide and affects
all cross-sections of the society including children, women, youth and adults. Scientific …