A5091262520- Ferroptosis and cancer prognosis
- Immune cells in cancer
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Cancer Immunotherapy and Biomarkers
- Galectins and Cancer Biology
- Phagocytosis and Immune Regulation
- Epigenetics and DNA Methylation
- Computational Drug Discovery Methods
- Ovarian function and disorders
- Reproductive Biology and Fertility
- MicroRNA in disease regulation
Chongqing Medical University
2025
Central South University
2025
Hunan Cancer Hospital
2025
Beijing Proteome Research Center
2022-2023
Background Breast cancer (BRCA) has a high incidence among women, with poor prognosis and mortality, which is increasing year by year. Efferocytosis process of phagocytosis abnormal cells great value in tumor research. Our study seeks to create predictive model for BRCA using efferocytosis-related genes (ERGs) explore the significance efferocytosis this disease. Methods In research, Differential analysis, univariate Cox regression were employed identify linked patients. Then patients...
Abstract Patient-derived gene expression signatures induced by cancer treatment, obtained from paired pre- and post-treatment clinical transcriptomes, can help reveal drug mechanisms of action (MOAs) in patients understand the molecular response mechanism tumor sensitivity or resistance. Their integration reuse may bring new insights. Paired transcriptomic data are rapidly accumulating. However, a lack systematic collection makes access, integration, challenging. We therefore present Cancer...
Due to cancer heterogeneity, only some patients can benefit from drug therapy. The personalized usage is important for improving the treatment response rate of patients. value transcriptome has been recently demonstrated in guiding use, and Connectivity Map (CMAP) a reliable computational approach recommendation. However, there still no recommendation tool based on transcriptomic profiles CMAP. To fill this gap, here, we proposed such feasible workflow user-friendly R...
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide, ranking fourth in frequency. The relationship between metabolic reprogramming and immune infiltration has been identified as having crucial impact on HCC progression. However, deeper understanding the interplay system metabolism microenvironment required. In this study, we used proteomic dataset to identify three subtypes (IM1-IM3) HCC, each which distinctive clinical, immune, characteristics. Among...