Extracellular vesicles in diffuse large B cell lymphoma: characterization and diagnostic potential

R Matthiesen, P Gameiro, A Henriques, C Bodo… - International Journal of …, 2022 - mdpi.com
Diffuse large B cell lymphoma (DLBCL) is an aggressive B cell lymphoma characterized by
a heterogeneous behavior and in need of more accurate biological characterization …

Identification of a 6-gene signature for the survival prediction of breast cancer patients based on integrated multi-omics data analysis

W Mo, Y Ding, S Zhao, D Zou, X Ding - PloS one, 2020 - journals.plos.org
Purpose To identify a gene signature for the prognosis of breast cancer using high-
throughput analysis. Methods RNASeq, single nucleotide polymorphism (SNP), copy …

Co-expression of key gene modules and pathways of human breast cancer cell lines

Y Wu, F Liu, S Luo, X Yin, D He, J Liu, Z Yue… - Bioscience …, 2019 - portlandpress.com
Breast cancer (BC) is the most common leading cause of cancer-related death in women
worldwide. Gene expression profiling analysis for human BCs has been studied previously …

Application of a co‑expression network for the analysis of aggressive and non‑aggressive breast cancer cell lines to predict the clinical outcome of patients

L Guo, K Zhang, Z Bing - Molecular medicine reports, 2017 - spandidos-publications.com
Breast cancer metastasis is a demanding problem in clinical treatment of patients with breast
cancer. It is necessary to examine the mechanisms of metastasis for developing therapies …

Disease biomarker identification from gene network modules for metastasized breast cancer

P Sharma, DK Bhattacharyya, J Kalita - Scientific reports, 2017 - nature.com
Advancement in science has tended to improve treatment of fatal diseases such as cancer.
A major concern in the area is the spread of cancerous cells, technically refered to as …

Identifying network biomarkers based on protein-protein interactions and expression data

J Xin, X Ren, L Chen, Y Wang - BMC medical genomics, 2015 - Springer
Identifying effective biomarkers to battle complex diseases is an important but challenging
task in biomedical research today. Molecular data of complex diseases is increasingly …

Identification of breast cancer prognostic modules via differential module selection based on weighted gene Co-expression network analysis

L Guo, L Mao, WT Lu, J Yang - Biosystems, 2021 - Elsevier
Breast cancer is a complex cancer which includes many different subtypes. Identifying
prognostic modules, ie, functionally related gene networks that play crucial roles in cancer …

Mining conditions specific hub genes from rna‐seq gene‐expression data via biclustering and their application to drug discovery

A Maind, S Raut - IET systems biology, 2019 - Wiley Online Library
Gene‐expression data is being widely used for various clinical research. It represents
expression levels of thousands of genes across the various experimental conditions …

Microarray and pattern miner analysis of AXL and VIM gene networks in MDA‑MB‑231 cells

S Natarajan, VN Sumantran… - Molecular …, 2018 - spandidos-publications.com
MDA‑MB‑231 cells represent malignant triple‑negative breast cancer, which overexpress
epidermal growth factor receptor (EGFR) and two genes (AXL and VIM) associated with poor …

Identification of Potential Prognostic Biomarkers for Breast Cancer Based on lncRNA‐TF‐Associated ceRNA Network and Functional Module

X Li, J Zhu, J Qiu - BioMed Research International, 2020 - Wiley Online Library
Breast cancer leads to most of cancer deaths among women worldwide. Systematically
analyzing the competing endogenous RNA (ceRNA) network and their functional modules …