[HTML][HTML] Breast cancers, mammary stem cells, and cancer stem cells, characteristics, and hypotheses
S Taurin, H Alkhalifa - Neoplasia, 2020 - Elsevier
The cellular heterogeneity of breast cancers still represents a major therapeutic challenge.
The latest genomic studies have classified breast cancers in distinct clusters to inform the …
The latest genomic studies have classified breast cancers in distinct clusters to inform the …
Male breast cancer: An updated review of epidemiology, clinicopathology, and treatment
G Zheng, JP Leone - Journal of Oncology, 2022 - Wiley Online Library
Male breast cancer (MaBC) is a rare clinical entity, which makes up approximately 1% of all
breast cancers. However, the incidence of MaBC has been steadily increasing over the past …
breast cancers. However, the incidence of MaBC has been steadily increasing over the past …
Trends of female and male breast cancer incidence at the global, regional, and national levels, 1990–2017
Purpose Breast cancer is a major public health concern worldwide and shows significant
heterogeneity between male and female. Knowing the global incidence landscape in both …
heterogeneity between male and female. Knowing the global incidence landscape in both …
[HTML][HTML] Epidemiology of male breast cancer
Background Due to its rarity, few studies have characterized the epidemiology of male
breast cancer. The purpose of this study was to determine survival and risk factors for male …
breast cancer. The purpose of this study was to determine survival and risk factors for male …
Risks and opportunities to ensure equity in the application of big data research in public health
P Wesson, Y Hswen, G Valdes… - Annual review of …, 2022 - annualreviews.org
The big data revolution presents an exciting frontier to expand public health research,
broadening the scope of research and increasing the precision of answers. Despite these …
broadening the scope of research and increasing the precision of answers. Despite these …
[HTML][HTML] Single-cell transcriptome analysis indicates fatty acid metabolism-mediated metastasis and immunosuppression in male breast cancer
Male breast cancer (MBC) is a rare but aggressive malignancy with cellular and
immunological characteristics that remain unclear. Here, we perform transcriptomic analysis …
immunological characteristics that remain unclear. Here, we perform transcriptomic analysis …
Crosstalk between non-coding RNAs expression profile, drug resistance and immune response in breast cancer
SA Miraghel, N Ebrahimi, L Khani, A Mansouri… - Pharmacological …, 2022 - Elsevier
Drug resistance is one of the most critical challenges facing researchers in treating breast
cancer. Despite numerous treatments for breast cancer, including conventional chemical …
cancer. Despite numerous treatments for breast cancer, including conventional chemical …
Five-year cancer survival by stage at diagnosis in Canada
LF Ellison, N Saint-Jacques - Health reports, 2023 - search.proquest.com
Background Cancer survival estimates provide insights into the effectiveness of early
detection and treatment. The stage of cancer at diagnosis is an important determinant of …
detection and treatment. The stage of cancer at diagnosis is an important determinant of …
[HTML][HTML] Machine learning algorithms to predict recurrence within 10 years after breast cancer surgery: a prospective cohort study
SJ Lou, MF Hou, HT Chang, CC Chiu, HH Lee… - Cancers, 2020 - mdpi.com
Simple Summary No studies have discussed machine learning algorithms to predict
recurrence within 10 years after breast cancer surgery. Artificial neural networks (ANN) …
recurrence within 10 years after breast cancer surgery. Artificial neural networks (ANN) …
Evolution of Breast Cancer Recurrence Risk Prediction: A Systematic Review of Statistical and Machine Learning–Based Models
PURPOSE Selection of appropriate adjuvant therapy to ultimately reduce the risk of breast
cancer (BC) recurrence is a challenge for medical oncologists. Several automated risk …
cancer (BC) recurrence is a challenge for medical oncologists. Several automated risk …