Results 71 to 80 of about 1,564,848 (340)
Stratification of patients with clear cell renal cell carcinoma to facilitate drug repositioning
Summary: Clear cell renal cell carcinoma (ccRCC) is the most common histological type of kidney cancer and has high heterogeneity. Stratification of ccRCC is important since distinct subtypes differ in prognosis and treatment.
Xiangyu Li+12 more
doaj
Rethinking Causation in Cancer with Evolutionary Developmental Biology [PDF]
Despite the productivity of basic cancer research, cancer continues to be a health burden to society because this research has not yielded corresponding clinical applications.
Liu, Katherine E
core +1 more source
The power of microRNA regulation—insights into immunity and metabolism
MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto+2 more
wiley +1 more source
Summary: The patient-derived xenograft (PDX) model is a versatile tool used to study the tumor microenvironment (TME). However, limited studies have described multi-tumor PDX screening strategies to detect hub regulators during cancer-stroma interaction.
Kuniyo Sueyoshi+12 more
doaj
Systems biology in the frontier of cancer research: a report of the Second International Workshop of Cancer Systems Biology [PDF]
The report summarizes the Second International Workshop of Cancer Systems Biology held on July 5–6, 2012 in Changchun, China. The goal of the workshop was to bring together cancer researchers with different backgrounds to share their views about cancer and their experiences in fighting against cancer, and to gain new and systems-level understanding ...
Juan Cui+3 more
openaire +2 more sources
Utilizing RNA-Seq Data for Cancer Network Inference
An important challenge in cancer systems biology is to uncover the complex network of interactions between genes (tumor suppressor genes and oncogenes) implicated in cancer. Next generation sequencing provides unparalleled ability to probe the expression
Atwal, Gurinder S.+2 more
core +1 more source
Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks [PDF]
Gene and protein networks are very important to model complex large-scale systems in molecular biology. Inferring or reverseengineering such networks can be defined as the process of identifying gene/protein interactions from experimental data through ...
Beretta, Stefano+4 more
core +2 more sources
In lymphoid organs, antigen recognition and B cell receptor signaling rely on integrins and the cytoskeleton. Integrins act as mechanoreceptors, couple B cell receptor activation to cytoskeletal remodeling, and support immune synapse formation as well as antigen extraction.
Abhishek Pethe, Tanja Nicole Hartmann
wiley +1 more source
MicroRNAs (miRNAs) are short, noncoding RNAs that regulate gene expression by suppressing mRNA translation and reducing mRNA stability. A miRNA can potentially bind many mRNAs, thereby affecting the expression of oncogenes and tumor suppressor genes as ...
Xin Lai+3 more
semanticscholar +1 more source
Decoding the dual role of autophagy in cancer through transcriptional and epigenetic regulation
Transcriptional and epigenetic regulation controls autophagy, which exerts context‐dependent effects on cancer: Autophagy suppresses tumorigenesis by maintaining cellular homeostasis or promotes tumor progression by supporting survival under stress. In this “In a Nutshell” article, we explore the intricate mechanisms of the dual function of autophagy ...
Young Suk Yu, Ik Soo Kim, Sung Hee Baek
wiley +1 more source