Identifying critical states of hepatocellular carcinoma based on landscape dynamic network biomarkers

Y Sun, H Zhao, M Wu, J Xu, S Zhu, J Gao - Computational biology and …, 2020 - Elsevier
Hepatocellular carcinoma (HCC) is the major histological form of primary liver cancer. It has
usually reached the disease state once the patient is diagnosed since there are no specific …

Identifying Critical States of Hepatocellular Carcinoma Based on Single-Sample Dynamic Network Biomarkers Combined with Simulated Annealing Algorithm

H Zhao, J Gao, Y Sun, Y Wang, T Guan… - Current …, 2021 - ingentaconnect.com
Background: Hepatocellular Carcinoma (HCC) is one of the most common malignant
tumors. Due to the insidious onset and poor prognosis, most patients have reached the …

[HTML][HTML] Early warning and diagnosis of liver cancer based on dynamic network biomarker and deep learning

Y Han, J Akhtar, G Liu, C Li, G Wang - Computational and Structural …, 2023 - Elsevier
Background Early detection of complex diseases like hepatocellular carcinoma remains
challenging due to their network-driven pathology. Dynamic network biomarkers (DNB) …

[HTML][HTML] Identification of molecular transition of hepatocellular carcinoma: a novel method to predict the initiation of metastasis

K Kamimura - Stem Cell Investigation, 2019 - ncbi.nlm.nih.gov
Page 2 of 3 recently reported the effect of the dynamic network biomarker (DNB) method in
developing a new biomarker for identifying the tipping point of HCC to metastasize (24) …

[HTML][HTML] Low-grade dysplastic nodules revealed as the tipping point during multistep hepatocarcinogenesis by dynamic network biomarkers

L Lu, Z Jiang, Y Dai, L Chen - Genes, 2017 - mdpi.com
Hepatocellular carcinoma (HCC) is a complex disease with a multi-step carcinogenic
process from preneoplastic lesions, including cirrhosis, low-grade dysplastic nodules …

[HTML][HTML] Quantifying critical states of complex diseases using single-sample dynamic network biomarkers

X Liu, X Chang, R Liu, X Yu, L Chen… - PLoS computational …, 2017 - journals.plos.org
Dynamic network biomarkers (DNB) can identify the critical state or tipping point of a
disease, thereby predicting rather than diagnosing the disease. However, it is difficult to …

Dysfunction of CCT3-associated network signals for the critical state during progression of hepatocellular carcinoma

J Wang, X Guan, N Shang, D Wu, Z Liu, Z Guan… - … et Biophysica Acta (BBA …, 2024 - Elsevier
Hepatocellular carcinoma (HCC) is one of the most common malignant tumors and is a
serious threat to human health; thus, early diagnosis and adequate treatment are essential …

Detection for disease tipping points by landscape dynamic network biomarkers

X Liu, X Chang, S Leng, H Tang… - National Science …, 2019 - academic.oup.com
ABSTRACT A new model-free method has been developed and termed the landscape
dynamic network biomarker (l-DNB) methodology. The method is based on bifurcation …

[HTML][HTML] An immune and epigenetics-related scoring model and drug candidate prediction for hepatic carcinogenesis via dynamic network biomarker analysis and …

Y Hu, X Zhang, Q Li, Q Zhou, D Fang, Y Lu - Computational and Structural …, 2023 - Elsevier
Hepatocellular carcinoma (HCC) is a malignant tumor with high mortality. This study aimed
to build a prognostic signature for HCC patients based on immune-related genes (IRGs) and …

[HTML][HTML] Development of a dynamic network biomarkers method and its application for detecting the tipping point of prior disease development

C Han, J Zhong, Q Zhang, J Hu, R Liu, H Liu… - Computational and …, 2022 - Elsevier
The dynamic network biomarker (DNB) method has advanced since it was first proposed.
This review discusses advances in the DNB method that can identify the dynamic change in …