- Methane Hydrates and Related Phenomena
- Earthquake Detection and Analysis
- Seismic Waves and Analysis
- Geophysics and Gravity Measurements
- Ionosphere and magnetosphere dynamics
- Pancreatic and Hepatic Oncology Research
- Cancer Genomics and Diagnostics
- Chemotherapy-induced cardiotoxicity and mitigation
- Ferroptosis and cancer prognosis
- Cancer Research and Treatments
- Cancer-related cognitive impairment studies
- Cancer Treatment and Pharmacology
- Monoclonal and Polyclonal Antibodies Research
- Microtubule and mitosis dynamics
- Chemical Reactions and Isotopes
- Neuroendocrine Tumor Research Advances
- Circular RNAs in diseases
- Cardiac Health and Mental Health
- Hormonal Regulation and Hypertension
- Pancreatitis Pathology and Treatment
- Cancer, Lipids, and Metabolism
- MicroRNA in disease regulation
- Tryptophan and brain disorders
- Lung Cancer Research Studies
- Cancer Mechanisms and Therapy
Jiujiang University
2025
Qingdao University
2023-2024
Affiliated Hospital of Qingdao University
2023-2024
Wuhan Red Cross Hospital
2024
Xi'an Honghui Hospital
2024
Xi'an Jiaotong University
2024
Sun Yat-sen University
2024
Sun Yat-sen University Cancer Center
2024
Pacific Northwest National Laboratory
2020-2023
Shanghai Changzheng Hospital
2022-2023
In the absence of a dominant driving mutation other than uniformly present TP53 mutations, deeper understanding biology ovarian high-grade serous cancer (HGSC) requires analysis at functional level, including post-translational modifications. Comprehensive proteogenomic and phosphoproteomic characterization 83 prospectively collected HGSC appropriate normal precursor tissue samples (fallopian tube) under strict control ischemia time reveals pathways that significantly differentiate between...
Rheumatoid arthritis (RA) is a chronic autoimmune disorder intricately liked with inflammation. Cuproptosis, an emerging type of cell death, has been implicated in the initiation and development RA. However, exact alterations expression biological function cuproptosis-related genes (CRGs) RA remain poorly understood. Therefore, our study aims to elucidate potential association between CRGs RA, goal identifying novel biomarkers for treatment prognosis In this study, we identified ten...
<b><i>Introduction:</i></b> Cadonilimab (AK104) is an innovative human programmed cell death-1 (PD-1)/cytotoxic T lymphocyte antigen-4 (CTLA-4) bispecific antibody. Compared with the combination therapy of PD-1 and CTLA-4 blockers, less cellular toxicity cadonilimab was significantly manifested. As one characteristic adverse effects cadonilimab, infusion-related reactions (IRRs) represent fever, chills, rash, decreased blood pressure, other symptoms....
Background. Pancreatic cancer is a highly malignant solid tumor with high lethality rate, but there lack of clinical biomarkers that can assess patient prognosis to optimize treatment. Methods. Gene-expression datasets pancreatic tissues and normal were obtained from the GEO database, differentially expressed genes analysis WGCNA performed after merging normalizing datasets. Univariate Cox regression Lasso used screen prognosis-related in modules strongest association construct risk...
Purpose: Doxorubicin-induced cardiotoxicity (DIC) is a severe side reaction in cancer chemotherapy that greatly impacts the wellbeing of patients.Currently, there still an insufficiency effective and reliable biomarkers field clinical practice for early detection DIC.This study aimed to determine validate potential diagnostic predictive values critical signatures DIC.Methods: We obtained high-throughput sequencing data from GEO database performed analysis visualization using R software, GO,...
Coronary artery disease (CAD) is a predominant cardiovascular condition influenced by risk factors, with an emphasis on major depressive disorder (MDD). However, the shared mechanisms and therapeutic targets for CAD MDD remain incompletely comprehended. Functional enrichment analyses were conducted to investigate pathways associated differentially expressed genes (DEGs) in datasets. Hub identified utilizing Protein-Protein Interaction network Cytoscape software. The single sample gene set...
This study aimed to develop a liver metastasis-related gene prognostic index (LMPI) for pancreatic ductal adenocarcinoma prognosis and therapy.The Cancer Genome Atlas data set was used identify hub genes via weighted coexpression network analysis. The core were identified construct an LMPI by using the Cox regression method. An immune cell abundance identifier applied determine abundance.A total of 78 in black module significantly enriched complement coagulation cascades, fat digestion...
Pancreatic neuroendocrine tumor (PNET), a heterogenous type of neoplasm with limited treatment options, is relatively rare and to date, the genetic background has remained be fully elucidated. The present study aimed determine mutational landscape PNET without liver metastasis, as well its clinical application value for treatment. Fresh tissues were collected from 14 patients following surgery, 4 whom had developed metastasis. Subsequently, targeted next‑generation sequencing 612...
Abstract Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy with few known risk factors and biomarkers. Identification of biomarkers critical for understanding the pathogenesis this deadly cancer identifying high-risk individuals close surveillance. Several blood protein have been linked to PDAC in previous studies, but these studies assessed only limited number usually small set(s) samples. To identify novel circulating PDAC, we studied 8,275 cases 6,723 controls European...
Abstract Doxorubicin-induced cardiotoxicity (DIC) is a severe side reaction in cancer chemotherapy that greatly impacts the well-being of patients. Currently, there still an insufficiency effective and reliable biomarkers field clinical practice for early detection doxorubicin-induced cardiotoxicity. We obtained high-throughput sequencing data from Gene Expression Omnibus (GEO) database performed analysis visualization using R software, GO, KEGG Cytoscape. Machine learning methods weighted...