A5030404516- Ferroptosis and cancer prognosis
- Metabolomics and Mass Spectrometry Studies
- Cancer Immunotherapy and Biomarkers
- Ovarian cancer diagnosis and treatment
- RNA modifications and cancer
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Advanced Chemical Sensor Technologies
- Traditional Chinese Medicine Studies
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Proteins in Food Systems
- Colorectal Cancer Screening and Detection
- Statistical Methods in Clinical Trials
- Computational Drug Discovery Methods
- Esophageal Cancer Research and Treatment
- Microencapsulation and Drying Processes
- Renal cell carcinoma treatment
- AI in cancer detection
- Health Systems, Economic Evaluations, Quality of Life
- Advanced Causal Inference Techniques
- Advanced Proteomics Techniques and Applications
- Lipid metabolism and disorders
- Inflammatory Biomarkers in Disease Prognosis
Peking University
2022-2024
Beijing Institute of Petrochemical Technology
2023
Capital Medical University
2022
Harbin Medical University
2017-2021
Faculty of Public Health
2018
Harbin University
2018
Shanghai Institute of Technology
2012-2017
Shanghai Research Institute of Chemical Industry
2015
Untargeted metabolomics based on liquid chromatography–mass spectrometry is affected by nonlinear batch effects, which cover up biological result in nonreproducibility, and are difficult to be calibrate. In this study, we propose a novel deep learning model, called Normalization Autoencoder (NormAE), autoencoders (AEs) adversarial learning. An additional classifier ranker trained provide regularization during the training of AE latent representations extracted encoder, then decoder...
Abstract Ovarian cancer (OvCa) is the leading cause of death among all gynecological malignancies, and recurrent OvCa almost always incurable. In this study, we developed a signature based on long non-coding RNAs (lncRNAs) associated with recurrence to facilitate personalized therapy. lncRNA expression data were extracted from GSE9891 GSE30161. LASSO (least absolute shrinkage selection operator) penalized regression was used identify an lncRNA-based using training cohort. The then validated...
The metabolic profiling of biofluids using untargeted metabolomics provides a promising choice to discover metabolite biomarkers for clinical cancer diagnosis. However, discovered in may not necessarily reflect the pathological status tumor tissue, which makes these difficult reproduce. In this study, we developed new analysis strategy by integrating univariate and multivariate correlation approach tissue derived (TTD) metabolites plasma samples. Specifically, was first used profile set...
Flavor microencapsulation has been widely used in foods, medicines, cosmetics, and other fields. The use of amylose‐based complexes is receiving increasing attention because they are biodegradable, non‐toxic, biocompatible, these provide a new way to develop impart flavors. In this study, with the aim investigating properties amylose–flavor complexes, linear aliphatic alcohols (C 6 –C 9 ) aromatic alcohol naphthol were prepare inclusion by sealed heating method yields ranging from 45 50%....
ABSTRACT Integrating external data into a clinical trial can introduce systematic bias in estimates and inflate the study's type I error due to differences study design enrollment criteria. Existing prior designs for information borrowing lack ability dynamically adjust weight based on similarity between concurrent data. To address this challenge, we thereby novel method called elastic commensurate (ECP), which combines with method. By adjusting of using measure congruence, demonstrates...
Abstract Renal clear cell carcinoma (RCC) patients who do not achieve optimal control of progression with immune checkpoint blockade (ICB) should be further studied. Unsupervised consensus clustering was used to group 525 RCC based on two typical ICB pathways, CTLA‐4 and pogrammed death 1 (PD‐1)/programmed death‐ligand (PD‐L1), as well new discovered regulators, CMTM6 CMTM4. Three molecular subtypes (IMMSs) different clinical immunological characteristics were identified (type I, II, III),...
Abstract Objective We sought to identify novel molecular subtypes of high‐grade serous ovarian cancer (HGSC) by the integration gene expression and proteomics data find underlying biological characteristics improve clinical outcome. Methods The iCluster method was utilized analysis 131 common HGSC samples between TCGA Clinical Proteomic Tumor Analysis Consortium databases. Kaplan‐Meier survival curves were used estimate overall patients, differences in assessed using log‐rank test. Results...
As a major component of the tumor tissue, microenvironment (TME) has been proven to associate with progression and immunotherapy. Ovarian cancer accounts for highest mortality rate among gynecologic malignancies. Its clinical treatment decision is highly correlated prognosis, underscoring need evaluate prognosis choose proper through TME information.This study constructs score information obtained by CIBERSORT algorithm, which classifies patients into high low TMEscore groups quantified...
Abstract The tumor immune microenvironment is heterogeneous, and its impact on treatment responses not well understood. It still a challenge to analyze the interaction between malignant cells apply suitable immunotherapy in lung adenocarcinoma. We performed nonnegative matrix factorization method 513 messenger RNA expression profiles of adenocarcinomas (LUADs) from Cancer Genome Atlas (TCGA) obtain an immune‐related pattern. Subsequently, we characterized gene signatures clinical survival...
Recently amylose has drawn much attention as a potential vehicle for the nanoencapsulation of different flavor molecules, and encapsulation efficiency complex is an important index evaluation its embedding effect. In this study, three methods assessing amylose-flavor complexes were compared. We chose heptanol menthone both them exhibit typical odor. The prepared by melting method, their structures characterized XRD. addition, was determined thermal gravimetric analysis (TGA), potentiometric...
Immune checkpoint blockade (ICB), mainly anti-CTLA-4 and anti-PD-1/PD-L1 therapy, has showed promising clinical benefits in the treatment of some cancer types; however, its application ovarian is still primary stage. Immunophenotyping can help us understand characteristics immune status cancer, thus benefit immunotherapy personalized therapy. In this study, we clustered 907 patients into three molecular subtypes (IMMS) based on 48 genes. Expression data were downloaded from Gene Omnibus...
Platelet-derived growth factor-D (PDGF-D) can enhance invasion and metastasis in several human malignancies. Although studies have been performed to investigate the association between clinicopathological characteristics prognosis epithelial ovarian cancer (EOC), mediation effect of PDGF-D on above-mentioned seldom assessed. In this study, we detected expression from tissues patients with EOC further collected prognostic information identify whether mediated differentiated degree EOC. A...
A mathematical model was developed to evaluate and compare the effects intensity of coronavirus disease 2019 prevention control measures in Chinese provinces. The time course with government intervention described using a dynamic model. estimated parameters area difference between without were considered as effect, respectively. predicted that by April 30, 2020, about 3.08% population would have been diagnosed China. Guangdong Province averted most cases. Comprehensive measures, which social...