相关实验视频

Updated: Jun 12, 2025

Predictive Immune Modeling of Solid Tumors

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

基于免疫度相关基因的宫癌分子分类的预后和免疫治疗影响

Aihua Guo¹, Peilin Zhong¹, Linghua Wang¹

¹Department of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou City, Fujian Province, China.

Journal of biomolecular structure & dynamics

|September 23, 2024

概括

这项研究开发了一种新的风险评分模型,使用免疫度 (IPS) 相关基因来预测宫癌的预后. 该模型识别了不同的患者亚型和潜在的向疗法,改善了免疫疗法反应评估.

科学领域:

在瘤学瘤学.
免疫学免疫学免疫学
生物信息学是一种生物信息学.

背景情况:

免疫色评分 (IPS) 对于预测癌症免疫治疗反应至关重要.
宫癌的预后和治疗选择需要改进的预测工具.
识别与IPS相关的基因可以增强预后模型.

研究的目的:

建立基于IPS相关基因的宫癌预后风险评分模型.
识别具有差异性生存率和药物敏感性的独特的宫癌亚型.
为了利用癌症基因组图谱 (TCGA) 数据进行强大的模型开发.

主要方法:

权重基因共同表达网络分析 (WGCNA) 以确定IPS相关的基因模块.
单变Cox和LASSO回归分析来选择关键的预后基因.
风险评分计算和存活率分析,将患者分为风险组和亚型.

主要成果:

一个由158个基因组成的黄色模块与IPS (CTLA4和PD-1/PD-L1/PD-L2阻塞) 强烈相关.
建立了一个9基因风险模型,高得分表明预后较差.
两种不同的宫癌亚型 (集群2和集群3) 显示出显著的生存差异和不同的药物敏感性.

结论:

基于IPS相关基因的可行的风险评分模型有助于宫癌的预后.
已识别的亚型 (集群2,集群3) 呈现出明显的免疫透,突变特征 (TTN,PIK3CA) 和药物敏感性.
模型和亚型分析为个性化治疗策略和宫癌药物发现提供了洞察力.

关键词:

与IPS相关的基因子宫癌预后亚型免疫细胞透药物敏感性

更多相关视频

Author Spotlight: Unlocking Insights into the Immune Cell Landscape of Tumors

Author Spotlight: Unlocking Insights into the Immune Cell Landscape of Tumors

Published on: August 18, 2023

Four-color Fluorescence Immunohistochemistry of T-cell Subpopulations in Archival Formalin-fixed, Paraffin-embedded Human Oropharyngeal Squamous Cell Carcinoma Samples

Four-color Fluorescence Immunohistochemistry of T-cell Subpopulations in Archival Formalin-fixed, Paraffin-embedded Human Oropharyngeal Squamous Cell Carcinoma Samples

Published on: July 29, 2017

相关概念视频

Tumor Immunotherapy

Tumor Immunotherapy

Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.

Cancer Vaccines

Cancer Vaccines

Cancer treatment vaccines are a rapidly evolving field that offers a promising approach to immunotherapy. Unlike traditional vaccines that prevent diseases, cancer treatment vaccines are designed to treat existing cancers by stimulating the immune system to recognize and attack cancer cells.
Cancer vaccines come in two categories: preventive (prophylactic) and treatment (active). Preventive vaccines, such as the Human Papillomavirus (HPV) vaccine, protect against viruses that cause certain...

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...