A5025685516- Science, Research, and Medicine
- Cancer Immunotherapy and Biomarkers
- Cancer Genomics and Diagnostics
- Single-cell and spatial transcriptomics
- Cancer, Lipids, and Metabolism
- Immune cells in cancer
- Metabolomics and Mass Spectrometry Studies
- Pancreatic and Hepatic Oncology Research
- Cancer-related molecular mechanisms research
- Ferroptosis and cancer prognosis
- Radiomics and Machine Learning in Medical Imaging
- Pneumonia and Respiratory Infections
- Parathyroid Disorders and Treatments
- Diet and metabolism studies
- Genetic Syndromes and Imprinting
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Renal and related cancers
- Microbial infections and disease research
- RNA modifications and cancer
- Pneumocystis jirovecii pneumonia detection and treatment
- Cell Image Analysis Techniques
- Immunotherapy and Immune Responses
- Peptidase Inhibition and Analysis
- Mycobacterium research and diagnosis
Capital Medical University
2023-2024
Beijing Chao-Yang Hospital
2024
Beijing Chaoyang Emergency Medical Center
2024
Yang Hospital
2024
Capital University
2023
Chinese Academy of Medical Sciences & Peking Union Medical College
2019-2023
Peking Union Medical College Hospital
2019-2022
National Clinical Research
2020
Recent advances in next-generation sequencing (NGS) technologies have triggered the rapid accumulation of publicly available multi-omics datasets. The application integrated omics to explore robust signatures for clinical translation is increasingly emphasized, and this attributed success immune checkpoint blockades diverse malignancies. However, effective tools comprehensively interpreting data are still warranted provide increased granularity into intrinsic mechanism oncogenesis...
The tumor environment is of vital importance for the incidence and development colorectal cancer. Increasing evidence in recent years has elaborate role cancer-subtype classification patients' prognosis, but a comprehensive understanding purely depending on stromal compartment lacking. To decipher features cancer explore its immune context composition classification, we performed gene expression microarray microdissection-processed compartments adjacent normal tissues. Through integrated...
Abstract The use of large transcriptome datasets has greatly improved our understanding the tumor microenvironment (TME) and helped develop precise immunotherapies. increasing popularity multi-omics sequencing, single-cell sequencing (scRNA), spatial led to numerous new discoveries. However, these findings require clinical phenotypic validation with a sample size. To enhance integration in advancing research on microenvironment, we have developed systematic comprehensive analytical tool...
Abstract Understanding the interactions between tumors and host immune system holds great promise to uncover biomarkers for targeted therapies, predict prognosis of patients guide clinical treatment. However, signatures glioblastoma multiforme (GBM) remain largely unstudied in terms systematic analyses. We aimed classify GBM samples according immune‐related genes complement existing immunotherapy knowledge. In this study, we designed a strategy identify 3 subtypes representing different...
Non-metastatic renal cell carcinoma (RCC) with tumor thrombus showed a greater tendency for developing metastases after surgery. Early identification of patients high risk poor prognosis is especially important to explore adjuvant treatment improving outcomes. Neutrophil-to-lymphocyte ratio (NLR) was systemic inflammation marker and outcome predictor in RCC, reflecting the chaos immune status cancer as myeloid expansion lymphatic suppression. Neutrophil extracellular traps (NET) formation...
Abstract Background Single-cell transcription data provided unprecedented molecular information, enabling us to directly encode the ecosystem of colorectal cancer (CRC). Characterization diversity epithelial cells and how they cooperate with tumor microenvironment (TME) endow CRC aggressive characteristics at single-cell resolution is critical for understanding progression mechanism. Methods In this study, we comprehensively analyzed data, bulk-RNA sequencing pathological tissue data....
Abstract Purpose Head and neck squamous cell carcinomas (HNSCCs) are heterogeneous complex malignancies. The present study aimed to explore potential molecular classifications establish promising prognostic candidate biomarkers for human papillomavirus (HPV)‐negative HNSCC. Methods We performed unsupervised clustering in HPV‐negative patients from the TCGA‐HNSCC database identified subclusters based on HNSCC prognosis. Weighted gene co‐expression network analysis was used identify...
Abstract Parathyroid cancer (PC) is a highly aggressive with high relapse and metastasis rate. However, there still lack effective preoperative intraoperative ways to discriminate between PC parathyroid adenoma (PA). The intrinsic biological alternations that lead unclear. Here, we performed integrated analysis on the transcriptomic data of tumors. To identify pivotal genes associated diagnosis, immune infiltration analysis, gene differential ROC discovered fibroblast expressed FN1 CFD (FC...
Abstract Background: The World Health Organization (WHO) Grade III gliomas display large within-group differences, and no studies have attempted to classify our knowledge. We aimed complement the existing molecular classification system. Methods: used microarrays profile glioma progression from normal brains (n = 5) WHO II 97) 34) IV samples 89). Using bioinformatics analysis construct a model evaluate diagnosis prognosis of patients with gliomas. Results: identified 27 gene expression...
Objective: To investigate the differential gene expression profiles of alpha-fetoprotein (AFP) high- and low-expressing hepatocellular carcinoma (HCC), to provide a theoretical basis for molecular mechanism prognosis analysis HCC. Methods: The transcriptome data related clinical information from 368 HCC cases were obtained Cancer Gene Atlas (TCGA) public database. samples divided into AFP high (AFP(high)) group low (AFP(low)) according quartile mRNA expression, with 92 in each group. was...
Macrolides and corticosteroid resistant have been reported in mycoplasma pneumoniae (MP) pneumonia (MPP). MP clearance is difficult even by sensitive antibiotics severe MPP (SMPP). SMPP children might develop into airway remodeling bronchiolitis/bronchitis obliterans. There an urgent need to identify serum biomarkers indicating the progress of discover new target drugs for treatment SMPP. In this study, we collected samples from general (GMPP) patients perform proteomics profiling. Total 130...