Long non-coding RNAs and complex diseases: from experimental results to computational models

X Chen, CC Yan, X Zhang, ZH You - Briefings in bioinformatics, 2017 - academic.oup.com
LncRNAs have attracted lots of attentions from researchers worldwide in recent decades.
With the rapid advances in both experimental technology and computational prediction …

Cancer biomarker discovery and translation: proteomics and beyond

VA Hristova, DW Chan - Expert review of proteomics, 2019 - Taylor & Francis
Introduction: Cancer is often diagnosed at late stages when the chance of cure is relatively
low and although research initiatives in oncology discover many potential cancer …

Tumor-stroma-inflammation networks promote pro-metastatic chemokines and aggressiveness characteristics in triple-negative breast cancer

Y Liubomirski, S Lerrer, T Meshel… - Frontiers in …, 2019 - frontiersin.org
The tumor microenvironment (TME) plays key roles in promoting disease progression in the
aggressive triple-negative subtype of breast cancer (TNBC; Basal/Basal-like). Here, we took …

Roles of miRNA and IncRNA in triple-negative breast cancer

J Xu, K Wu, Q Jia, X Ding - Journal of Zhejiang University-science b, 2020 - Springer
Triple-negative breast cancer (TNBC) is currently the most malignant subtype of breast
cancer without effective targeted therapies, which makes its pathogenesis an important …

Predicting lncRNA-disease associations and constructing lncRNA functional similarity network based on the information of miRNA

X Chen - Scientific reports, 2015 - nature.com
Accumulating experimental studies have indicated that lncRNAs play important roles in
various critical biological process and their alterations and dysregulations have been …

Potential biomarkers and therapeutic targets in cervical cancer: Insights from the meta-analysis of transcriptomics data within network biomedicine perspective

M Kori, K Yalcin Arga - PLoS One, 2018 - journals.plos.org
The malignant neoplasm of the cervix, cervical cancer, has effects on the reproductive tract.
Although infection with oncogenic human papillomavirus is essential for cervical cancer …

New machine learning applications to accelerate personalized medicine in breast cancer: rise of the support vector machines

ME Ozer, PO Sarica, KY Arga - Omics: a journal of integrative …, 2020 - liebertpub.com
Artificial intelligence, machine learning, health care robots, and algorithms for clinical
decision-making are currently being sought after in diverse fields of clinical medicine and …

Nuclear factor-κB signaling inhibitors revert multidrug-resistance in breast cancer cells

SM Abdin, MF Tolba, DM Zaher, HA Omar - Chemico-Biological Interactions, 2021 - Elsevier
The emergence of multidrug resistance (MDR) is among the crucial obstacles to breast
cancer therapy success. The transcription factor nuclear factor (NF)-κB is correlated to the …

Identification of prognostic biomarker signatures and candidate drugs in colorectal cancer: insights from systems biology analysis

MR Rahman, T Islam, E Gov, B Turanli, G Gulfidan… - Medicina, 2019 - mdpi.com
Background and objectives: Colorectal cancer (CRC) is the second most common cause of
cancer-related death in the world, but early diagnosis ameliorates the survival of CRC. This …

Cancer-associated fibroblasts in breast cancer treatment response and metastasis

P Fernández-Nogueira, G Fuster, Á Gutierrez-Uzquiza… - Cancers, 2021 - mdpi.com
Simple Summary Breast cancer is a major public health problem with a large impact on the
life of patients and their families. It is a highly curable disease when detected early, and an …