A5068382512- Ferroptosis and cancer prognosis
- Cancer Immunotherapy and Biomarkers
- Cancer Genomics and Diagnostics
- RNA modifications and cancer
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Epigenetics and DNA Methylation
- Colorectal Cancer Treatments and Studies
- Genetic factors in colorectal cancer
- Immunotherapy and Immune Responses
- Pancreatic and Hepatic Oncology Research
- Immune cells in cancer
- Single-cell and spatial transcriptomics
- vaccines and immunoinformatics approaches
- Hepatocellular Carcinoma Treatment and Prognosis
- Lung Cancer Treatments and Mutations
- Bioinformatics and Genomic Networks
- Immune Cell Function and Interaction
- Cancer, Lipids, and Metabolism
- Radiomics and Machine Learning in Medical Imaging
- Cardiomyopathy and Myosin Studies
- Glioma Diagnosis and Treatment
- CRISPR and Genetic Engineering
- Cancer Cells and Metastasis
- Cancer Mechanisms and Therapy
First Affiliated Hospital of Zhengzhou University
2021-2025
Kaohsiung Medical University
2025
Ministry of Health and Welfare
2025
Zhengzhou University
2021-2024
Chinese Academy of Medical Sciences & Peking Union Medical College
2024
Henan Provincial Health Bureau
2023
Johannes Gutenberg University Mainz
2015
Long noncoding RNAs (lncRNAs) are recently implicated in modifying immunology colorectal cancer (CRC). Nevertheless, the clinical significance of immune-related lncRNAs remains largely unexplored. In this study, we develope a machine learning-based integrative procedure for constructing consensus lncRNA signature (IRLS). IRLS is an independent risk factor overall survival and displays stable powerful performance, but only demonstrates limited predictive value relapse-free survival....
Abstract 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 the meta-analysis multiple datasets is absent. Most only contain tumor samples TCGA database with one cohort for each type, which also means that analysis results mainly derived a single thin unstable. Indeed, consistent performance across independent cohorts foundation excellent biomarker. Moreover, deeper...
Abstract Tertiary lymphoid structures (TLS) are clusters of immune cells that resemble and function similarly to secondary organs (SLOs). While TLS is generally associated with an anti-tumour response in most cancer types, it has also been observed act as a pro-tumour response. The heterogeneity largely determined by the composition tumour-infiltrating lymphocytes (TILs) balance cell subsets within tumour-associated (TA-TLS). TA-TLS varying maturity, density, location may have opposing...
As the most aggressive tumor, outcome of pancreatic cancer (PACA) has not improved observably over last decade. Anatomy-based TNM staging does exactly identify treatment-sensitive patients, and an ideal biomarker is urgently needed for precision medicine. Based on expression files 1280 patients from 10 multicenter cohorts, we screened 32 consensus prognostic genes. Ten machine-learning algorithms were transformed into 76 combinations, which selected optimal algorithm to construct artificial...
Stemness refers to the capacities of self-renewal and repopulation, which contributes progression, relapse, drug resistance colorectal cancer (CRC). Mounting evidence has established links between stemness intratumoral heterogeneity across cancer. Currently, intertumoral remains elusive in CRC.This study enrolled four CRC datasets, two immunotherapy a clinical in-house cohort. Non-negative matrix factorization (NMF) was performed decipher stemness. Multiple machine learning algorithms were...
Abstract Background Recently, long non-coding RNAs (lncRNAs) have been demonstrated as essential roles in tumor immune microenvironments (TIME). Nevertheless, researches on the clinical significance of TIME-related lncRNAs are limited lung adenocarcinoma (LUAD). Methods Single-cell RNA sequencing and bulk data integrated to identify lncRNAs. A total 1368 LUAD patients enrolled from 6 independent datasets. An integrative machine learning framework is introduced develop a lncRNA signature...
Abstract Background Since the coronavirus disease 2019 (COVID-19) outbreak, many COVID-19 variants have emerged, causing several waves of pandemics and infections. Long COVID-19, or long-term sequelae after recovery from has aroused worldwide concern because it reduces patient quality life rehabilitation. We aimed to characterize functional differential profile oral gut microbiomes serum metabolites in patients with gastrointestinal symptoms associated long COVID-19. Methods prospectively...
Mounting evidence has revealed that the interactions and dynamic alterations among immune cells are critical in shaping tumor microenvironment ultimately map onto heterogeneous clinical outcomes. Currently, underlying significance of cell evolutions remains largely unexplored hepatocellular carcinoma (HCC). A total 3,817 1,750 HCC patients 15 independent public datasets were retrieved. The Seurat Monocle algorithms used to depict T evolution, nonnegative matrix factorization (NMF) was...
Recent advances in high-throughput proteomic profiling technologies have facilitated the precise quantification of numerous proteins across multiple specimens concurrently. Researchers opportunity to comprehensively analyze molecular signatures plentiful medical or disease pattern cell lines. Along with data analysis and integration, proteomics could be efficiently consolidated employed recognize elementary mechanisms decode individual biomarkers, guiding precision treatment tumors. Herein,...
The treatment of infected wounds is often complicated by bacterial infection and impaired scar healing. Antibiotics growth factors are typically utilized to address these clinical challenges expedite wound However, the use hydrogels containing therapeutic agents restricted complex cases increases costs considerably. In this study, we developed a quaternized-chitosan-based hybrid hydrogel dressing (SQFB) with intrinsic antibacterial properties limitations. contained interpenetrating polymer...
Abstract Background With fatal malignant peculiarities and poor survival rate, outcomes of pancreatic adenocarcinoma (PAAD) were frustrated by non-response even resistance to therapy due heterogeneity across clinical patients. Nevertheless, pharmacogenomics has been developed for individualized-treatment still maintains obscure in PAAD. Methods A total 964 samples from 10 independent multi-center cohorts enrolled our study. drug response data the profiling relative inhibition simultaneously...
Di(2-ethylhexyl) phthalate (DEHP) is a commonly used plasticizer, and human exposure to phthalates major health concern. DEHP, which widely recognized as an endocrine disruptor, associated with increased risk of several diseases, including breast cancer. Triple-negative cancer (TNBC) aggressive subtype cancer, metastasis the leading cause TNBC-related mortality. However, correlation between DEHP TNBC remains elusive. In present study, we found that prolonged treatment enhanced migration...