相关实验视频

Updated: Jul 23, 2026

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
11:15

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

Published on: September 20, 2016

24.3K

对肺腺癌中多种调节细胞死亡风险标志的综合分析

Shan Gao1, Jiaqi Huang1, Rui Zhao1

  • 1Department of Thoracic Surgery, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China.

Heliyon
|October 14, 2024
PubMed
概括

这项研究开发了一种调节细胞死亡 (RCD) 风险模型,以预测肺腺癌 (LUAD) 患者的结果和免疫治疗的反应. 该模型识别了具有较差预后和免疫抑制瘤微环境的高风险患者.

关键词:
生物信息学分析免疫治疗是一种免疫疗法.肺癌是一种肺癌.预测 预后 预测 预测调节的细胞死亡.

更多相关视频

Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis11:44

Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis

Published on: March 30, 2019

7.6K
Network Pharmacology Prediction and Experimental Validation of Trichosanthes-Fritillaria thunbergii Action Mechanism Against Lung Adenocarcinoma13:18

Network Pharmacology Prediction and Experimental Validation of Trichosanthes-Fritillaria thunbergii Action Mechanism Against Lung Adenocarcinoma

Published on: March 3, 2023

1.2K

相关概念视频

Cancer Survival Analysis01:21

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...