[HTML][HTML] Breast cancer development and progression: Risk factors, cancer stem cells, signaling pathways, genomics, and molecular pathogenesis
Y Feng, M Spezia, S Huang, C Yuan, Z Zeng, L Zhang… - Genes & diseases, 2018 - Elsevier
As the most commonly occurring cancer in women worldwide, breast cancer poses a
formidable public health challenge on a global scale. Breast cancer consists of a group of …
formidable public health challenge on a global scale. Breast cancer consists of a group of …
Molecular classification of breast cancer
JYS Tsang, MT Gary - Advances in anatomic pathology, 2020 - journals.lww.com
Cancer classification aims to provide an accurate diagnosis of the disease and prediction of
tumor behavior to facilitate oncologic decision making. Traditional breast cancer …
tumor behavior to facilitate oncologic decision making. Traditional breast cancer …
Multi-omic machine learning predictor of breast cancer therapy response
Breast cancers are complex ecosystems of malignant cells and the tumour
microenvironment. The composition of these tumour ecosystems and interactions within …
microenvironment. The composition of these tumour ecosystems and interactions within …
m6A regulator-mediated methylation modification patterns and tumor microenvironment infiltration characterization in gastric cancer
B Zhang, Q Wu, B Li, D Wang, L Wang, YL Zhou - Molecular cancer, 2020 - Springer
Background The epigenetic regulation of immune response has been demonstrated in
recent studies. Nonetheless, potential roles of RNA N6-methyladenosine (m 6 A) …
recent studies. Nonetheless, potential roles of RNA N6-methyladenosine (m 6 A) …
Tumor microenvironment characterization in gastric cancer identifies prognostic and immunotherapeutically relevant gene signatures
D Zeng, M Li, R Zhou, J Zhang, H Sun, M Shi… - Cancer immunology …, 2019 - AACR
Tumor microenvironment (TME) cells constitute a vital element of tumor tissue. Increasing
evidence has elucidated their clinicopathologic significance in predicting outcomes and …
evidence has elucidated their clinicopathologic significance in predicting outcomes and …
Spatial immunophenotypes predict response to anti-PD1 treatment and capture distinct paths of T cell evasion in triple negative breast cancer
Only a subgroup of triple-negative breast cancer (TNBC) responds to immune checkpoint
inhibitors (ICI). To better understand lack of response to ICI, we analyze 681 TNBCs for …
inhibitors (ICI). To better understand lack of response to ICI, we analyze 681 TNBCs for …
Cross-talk of four types of RNA modification writers defines tumor microenvironment and pharmacogenomic landscape in colorectal cancer
H Chen, J Yao, R Bao, Y Dong, T Zhang, Y Du… - Molecular cancer, 2021 - Springer
Background The four major RNA adenosine modifications, ie, m 6 A, m 1 A, alternative
polyadenylation, and adenosine-to-inosine RNA editing, are mediated mostly by the “writer” …
polyadenylation, and adenosine-to-inosine RNA editing, are mediated mostly by the “writer” …
Tumor heterogeneity in breast cancer
G Turashvili, E Brogi - Frontiers in medicine, 2017 - frontiersin.org
Breast cancer is a heterogeneous disease and differs greatly among different patients
(intertumor heterogeneity) and even within each individual tumor (intratumor heterogeneity) …
(intertumor heterogeneity) and even within each individual tumor (intratumor heterogeneity) …
[HTML][HTML] Improved breast cancer histological grading using deep learning
Background The Nottingham histological grade (NHG) is a well-established prognostic
factor for breast cancer that is broadly used in clinical decision making. However,∼ 50% of …
factor for breast cancer that is broadly used in clinical decision making. However,∼ 50% of …
[HTML][HTML] Circulating tumor cell clusters are oligoclonal precursors of breast cancer metastasis
Circulating tumor cell clusters (CTC clusters) are present in the blood of patients with cancer
but their contribution to metastasis is not well defined. Using mouse models with tagged …
but their contribution to metastasis is not well defined. Using mouse models with tagged …