相关实验视频

Updated: Sep 17, 2025

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer

Published on: June 9, 2023

全球甲状腺癌模式和预测分析:整合机器学习用于高级诊断建模

Yao Sun¹, Yongsheng Jia², Kuan Fu¹

¹Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.

Journal of cellular and molecular medicine

|July 2, 2025

概括

甲状腺癌研究揭示了炎症媒介的升高,并确定了关键的髓状细胞通信网络. 这些发现为改善甲状腺癌的诊断和向治疗提供了潜力.

科学领域:

在瘤学瘤学.
分子生物学分子生物学
免疫学免疫学免疫学

背景情况:

全球甲状腺癌发病率的增加,尤其是女性.
在了解甲状腺癌的分子驱动因素和诊断工具方面存在差距.

研究的目的:

研究甲状腺癌中的分子特征.
验证早期检测的诊断标记.
促进有针对性的治疗开发.

主要方法:

定量PCR和ELISA用于基因/细胞因子分析.
单细胞转录组学用于细胞通信.
对差异表达和细胞因子变化的统计分析.

主要成果:

增高的促炎性细胞因子 (TNF-α,IL-6,IL-8,VEGF) 和免疫调节性细胞因子 (TGF-β,IL-10) (增加了2.5-4.0倍).
独特的基因模块 (MEblue,MEmagenta) 与疾病进展相关.
计算算法实现了0.963AUC的诊断;骨髓状细胞网络 (MIF,GALECTIN) 被确定为关键介质.

结论:

通过骨髓中心网络扩大对甲状腺癌发生的分子理解.
确定分子签名和基因模块作为潜在的诊断和治疗点.
需要在不同的患者群体中进行前性验证,以获得临床实用性.

关键词:

许多国际金融机构的信号通道.癌症免疫学癌症免疫学机器学习模型机器学习模型骨髓状细胞是骨髓状细胞的组成部分.甲状腺癌是一种癌症.

更多相关视频

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Published on: February 9, 2024

相关概念视频

Cancer Survival Analysis

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...