Integrated analysis of multi-omics data for the discovery of biomarkers and therapeutic targets for colorectal cancer

N Zafari, P Bathaei, M Velayati… - Computers in Biology …, 2023 - Elsevier
The considerable burden of colorectal cancer and the rising trend in young adults
emphasize the necessity of understanding its underlying mechanisms, providing new …

BEST: a web application for comprehensive biomarker exploration on large-scale data in solid tumors

Z Liu, L Liu, S Weng, H Xu, Z Xing, Y Ren, X Ge… - Journal of Big Data, 2023 - Springer
Data mining from RNA-seq or microarray data has become an essential part of cancer
biomarker exploration. Certain existing web servers are valuable and broadly utilized, but …

Artificial intelligence‐driven consensus gene signatures for improving bladder cancer clinical outcomes identified by multi‐center integration analysis

H Xu, Z Liu, S Weng, Q Dang, X Ge, Y Zhang… - Molecular …, 2022 - Wiley Online Library
To accurately predict the prognosis and further improve the clinical outcomes of bladder
cancer (BLCA), we leveraged large‐scale data to develop and validate a robust signature …

Necroptosis-related lncRNA signature predicts prognosis and immune response for cervical squamous cell carcinoma and endocervical adenocarcinomas

Z Lin, J Zou, X Sui, S Yao, L Lin, J Wang, J Zhao - Scientific Reports, 2022 - nature.com
Necroptosis, a programmed form of necrotic cell death, plays critical regulatory roles in the
progression and metastatic spread of cancers such as cervical squamous cell carcinoma …

Artificial intelligence predictive models of response to cytotoxic chemotherapy alone or combined to targeted therapy for metastatic colorectal cancer patients: a …

V Russo, E Lallo, A Munnia, M Spedicato, L Messerini… - Cancers, 2022 - mdpi.com
Simple Summary Metastatic colorectal cancer (mCRC) has high incidence and mortality.
Nevertheless, innovative biomarkers have been developed for predicting the response to …

A three-stage eccDNA based molecular profiling significantly improves the identification, prognosis assessment and recurrence prediction accuracy in patients with …

Z Li, B Wang, H Liang, Y Li, Z Zhang, L Han - Cancer Letters, 2023 - Elsevier
Glioblastoma (GBM) progression is influenced by intratumoral heterogeneity. Emerging
evidence has emphasized the pivotal role of extrachromosomal circular DNA (eccDNA) in …

Machine learning-based integration develops a macrophage-related index for predicting prognosis and immunotherapy response in lung adenocarcinoma

Z Li, M Guo, W Lin, P Huang - Archives of Medical Research, 2023 - Elsevier
Background Macrophages play a critical role in tumor immune microenvironment (TIME)
formation and cancer progression in lung adenocarcinoma (LUAD). However, few studies …

[HTML][HTML] Gene interaction perturbation network deciphers a high-resolution taxonomy in colorectal cancer

Z Liu, S Weng, Q Dang, H Xu, Y Ren, C Guo, Z Xing… - Elife, 2022 - ncbi.nlm.nih.gov
Molecular subtypes of colorectal cancer (CRC) are currently identified via the snapshot
transcriptional profiles, largely ignoring the dynamic changes of gene expressions …

Identification of disulfidptosis-related genes and subgroups in Alzheimer's disease

S Ma, D Wang, D Xie - Frontiers in Aging Neuroscience, 2023 - frontiersin.org
Background Alzheimer's disease (AD), a common neurological disorder, has no effective
treatment due to its complex pathogenesis. Disulfidptosis, a newly discovered type of cell …

Long non-coding RNAs: Tools for understanding and targeting cancer pathways

GK Pandey, C Kanduri - Cancers, 2022 - mdpi.com
Simple Summary Long non-coding RNA (lncRNA) is a type of RNA molecule that show
striking resemblance to mRNA in terms of synthesis and structure but lacks protein coding …