Genetic mutations and epigenetic modifications: driving cancer and informing precision medicine
Cancer treatment is undergoing a significant revolution from “one‐size‐fits‐all” cytotoxic
therapies to tailored approaches that precisely target molecular alterations. Precision …
therapies to tailored approaches that precisely target molecular alterations. Precision …
[HTML][HTML] Identification of biomarkers for breast cancer using databases
E Lee, A Moon - Journal of Cancer Prevention, 2016 - ncbi.nlm.nih.gov
Breast cancer is one of the major causes of cancer death in women. Many studies have
sought to identify specific molecules involved in breast cancer and understand their …
sought to identify specific molecules involved in breast cancer and understand their …
Integrative analysis of DNA methylation and gene expression to determine specific diagnostic biomarkers and prognostic biomarkers of breast cancer
M Zhang, Y Wang, Y Wang, L Jiang, X Li… - Frontiers in Cell and …, 2020 - frontiersin.org
Background: DNA methylation is a common event in the early development of various
tumors, including breast cancer (BRCA), which has been studies as potential tumor …
tumors, including breast cancer (BRCA), which has been studies as potential tumor …
Pan-cancer analysis of frequent DNA co-methylation patterns reveals consistent epigenetic landscape changes in multiple cancers
Background DNA methylation is the major form of epigenetic modifications through which
the cell regulates the gene expression and silencing. There have been extensive studies on …
the cell regulates the gene expression and silencing. There have been extensive studies on …
[PDF][PDF] Topological summaries of tumor images improve prediction of disease free survival in glioblastoma multiforme
In this paper we propose a novel statistic, the smooth Euler characteristic transform (SECT).
The SECT is designed to integrate shape information into standard statistical models. More …
The SECT is designed to integrate shape information into standard statistical models. More …
pETM: a penalized Exponential Tilt Model for analysis of correlated high-dimensional DNA methylation data
Motivation DNA methylation plays an important role in many biological processes and
cancer progression. Recent studies have found that there are also differences in methylation …
cancer progression. Recent studies have found that there are also differences in methylation …
Obesity and the breast cancer methylome
WB Coleman - Current opinion in pharmacology, 2016 - Elsevier
Highlights•Obesity is a risk factor for breast cancer, but the relationship is not simple.•Obesity
is associated with epigenetic alterations involving DNA methylation.•Breast cancer is …
is associated with epigenetic alterations involving DNA methylation.•Breast cancer is …
Prediction of the prognosis based on chromosomal instability-related DNA methylation patterns of ELOVL2 and UBAC2 in PTCs
J Han, M Chen, Q Fang, Y Zhang, Y Wang… - … Therapy-Nucleic Acids, 2019 - cell.com
Papillary thyroid carcinoma (PTC) is the most common malignant tumor of endocrine
systems. Chromosomal instability (CIN) is crucial to the clinical prognoses of tumor patients …
systems. Chromosomal instability (CIN) is crucial to the clinical prognoses of tumor patients …
[PDF][PDF] Genomic alterations and protein expression of STAT4 in pancreatic cancer: a study of bioinformatics based on public data and immunohistochemistry validation …
DM Wei, ZX Chen, RQ He, L Shi, S Zhou, W Li… - Int J Clin Exp …, 2016 - e-century.us
Introduction: Signal transducers and activators of transcription (STATs) are members of
conserved transcription factors family, and deregulated STAT family members are closely …
conserved transcription factors family, and deregulated STAT family members are closely …
Bayesian Kernel Models for Statistical Genetics and Cancer Genomics
L Crawford - 2017 - search.proquest.com
The main contribution of this thesis is to examine the utility of kernel regression approaches
and variance component models for solving complex problems in statistical genetics and …
and variance component models for solving complex problems in statistical genetics and …