A5100609063- Cancer-related molecular mechanisms research
- RNA modifications and cancer
- Ferroptosis and cancer prognosis
- Radiomics and Machine Learning in Medical Imaging
- Esophageal Cancer Research and Treatment
- Breast Lesions and Carcinomas
- Breast Cancer Treatment Studies
- Inflammatory Biomarkers in Disease Prognosis
- Medical Imaging and Analysis
- Male Breast Health Studies
- Immune cells in cancer
- MRI in cancer diagnosis
- Cancer Immunotherapy and Biomarkers
- Mycobacterium research and diagnosis
- MicroRNA in disease regulation
Nanjing Medical University
2016-2024
Jiangsu Province Hospital
2016-2024
Oesophageal carcinoma is one of the most lethal cancer types in world, especially some part China. squamous cell (OSCC) a major subtype, which has been shown to be associated with unhealthy diet habit, smoking, environmental carcinogens etc. The OSCC often progress slowly, however, it diagnosed at an advanced stage. Thus imperative elucidate molecular mechanisms involved initiation and progression OSCC. Long noncoding RNAs (lncRNA) emerged as novel functional player transcribed from genome....
Background: Radiofrequency ablation (RFA) is a minimally invasive thermal technique. We conducted meta-analysis based on eligible studies to assess the efficacy and safety of RFA for treating patients with breast cancer. Methods: A literature search was in PubMed, Embase, Web Science databases. Eligible were clinical trials that assessed The outcomes included complete rate, recurrence excellent or good cosmetic rates, complication rate. random-effects fixed-effects model used pool estimate,...
The objective of this study is to develop a machine learning model integrating clinical characteristics with radiomics and dosiomics data, aiming assess their predictive utility in anticipating grade 2 or higher BMS occurrences cervical cancer patients undergoing radiotherapy.
Treatment of head and neck squamous cell carcinoma (HNSCC) is a substantial clinical challenge due to the high local recurrence rate chemotherapeutic resistance. This project seeks identify new potential biomarkers prognosis prediction precision medicine improve this condition. A synthetic data matrix for RNA transcriptome datasets relevant information on HNSCC normal tissues was downloaded from Genotypic Tissue Expression Project The Cancer Genome Atlas (TCGA). necrosis-associated...
Purpose. Cervical cancer (CC) is one of the most common gynecologic neoplasms. Hypoxia an essential trigger for activating immunosuppressive activity and initiating malignant tumors. However, determination role immunity hypoxia on clinical outcome CC patients remains unclear. Methods. The independent cohort were collected from TCGA database. Consensus cluster analysis was employed to determine a molecular subtype based immune gene sets. Cox relevant analyses utilized set up risk classifier...
Abstract Background: Cervical cancer (CC) is one of the most common gynecologic neoplasms. Hypoxia an essential trigger for activating immunosuppressive activity and initiating malignant tumors. However, determination role immunity hypoxia on clinical outcome CC patients remains unclear. Methods: The independent cohort were collected from TCGA database. Consensus cluster analysis was employed to determine a molecular subtype based immune gene sets. Cox relevant analyses utilized set up risk...