A5079032890- Computational Drug Discovery Methods
- Cancer Genomics and Diagnostics
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Hepatocellular Carcinoma Treatment and Prognosis
- Pharmacogenetics and Drug Metabolism
- Lung Cancer Research Studies
- Ferroptosis and cancer prognosis
- Lung Cancer Treatments and Mutations
- Genetic factors in colorectal cancer
- Peroxisome Proliferator-Activated Receptors
- Surgical Simulation and Training
- Colorectal Cancer Treatments and Studies
- Cancer-related gene regulation
- Cancer Mechanisms and Therapy
- Flavonoids in Medical Research
- Down syndrome and intellectual disability research
- Cancer-related molecular mechanisms research
- Radiology practices and education
- Innovations in Medical Education
- Cancer, Lipids, and Metabolism
- Genomics and Chromatin Dynamics
- Glaucoma and retinal disorders
- Drug Transport and Resistance Mechanisms
- Lung Cancer Diagnosis and Treatment
Shanghai Cancer Institute
2021-2025
Renji Hospital
2021-2025
Shanghai Jiao Tong University
2021-2025
State Key Laboratory of Oncogene and Related Genes
2021-2023
Zhujiang Hospital
2018-2019
Southern Medical University
2019
Pharmacologic perturbation projects, such as Connectivity Map (CMap) and Library of Integrated Network-based Cellular Signatures (LINCS), have produced many perturbed expression data, providing enormous opportunities for computational therapeutic discovery. However, there is no consensus on which methodologies parameters are the most optimal to conduct analysis. Aiming fill this gap, new benchmarking standards were developed quantitatively evaluate drug retrieval performance. Investigations...
Abstract Background Numerous studies have used multi-region sampling approaches to characterize intra-tumor heterogeneity (ITH) in hepatocellular carcinoma (HCC). However, conventional strategies do not preserve the spatial details of samples, and thus, potential influences distribution on patient-wise ITH (represents overall level tumor a given patient) long been overlooked. Furthermore, gene-wise transcriptional expression pattern genes across different regions) HCC is also under-explored,...
Exploiting key regulators responsible for hepatocarcinogenesis is of great importance the prevention and treatment hepatocellular carcinoma (HCC). However, players contributing to remain poorly understood. We explored molecular mechanisms underlying carcinogenesis progression HCC development potential new therapeutic targets.The Cancer Genome Atlas-Liver Hepatocellular Carcinoma (TCGA-LIHC) Genotype-Tissue Expression (GTEx) databases were used identify genes with enhanced expression in liver...
Almost all the current therapies against liver cancer are based on "one size fits all" principle and offer only limited survival benefit. Fortunately, synthetic lethality (SL) may provide an alternate route towards individualized therapy in cancer. The concept that simultaneous losses of two genes lethal to a cell while single loss is non-lethal can be utilized selectively eliminate tumors with genetic aberrations. Methods: To infer cancer-specific SL interactions, we propose computational...
Gastric cancer (GC) is one of the most aggressive malignant tumors worldwide. Ferroptosis a kind iron-dependent cell death, which proved to be closely related tumor progression. In this study, we aim at constructing ferroptosis-related lncRNAs signature predict prognosis GC and explore potential therapies.Ferroptosis-Related LncRNAs Signature for patients (FRLSG) was constructed through univariate Cox regression, LASSO algorithm, multivariate regression. Kaplan-Meier analysis, receiver...
Abstract With the increasing number of medical students and scattered host hospitals, traditional clinical internship management system has been falling behind. Thus, we have independently developed a new practice based on browser/server structure. We aim to evaluate efficacy quality survey users’ satisfaction. This study was conducted Second Clinical Medical College Southern University, including 672 interns (non-user group) who had not used 315 users (user group). analyzed scores their...
Abstract Pharmacologic perturbation projects, such as Connectivity Map (CMap) and Library of Integrated Network-based Cellular Signatures (LINCS), have produced many perturbed expression data, providing enormous opportunities for computational therapeutic discovery. However, currently there is no consensus on which methodologies parameters are the most optimal to conduct analysis. Aiming fill this gap, we developed new benchmarking standards quantitatively estimating drug retrieval...
Background: Current therapies against liver cancer all follow the “one fits all” principle, without capacity to provide individualized treatment regimens, which may be responsible for fact that almost of them fail bring about satisfactory survival benefit patients. Synthetic lethality, a concept simultaneous losses two genes is lethal cell while single loss non-lethal, can utilized selectively eliminate tumors with genetic aberrations through targeting synthetic (SL) partners those...