免疫疗法
免疫抑制
医学
免疫系统
子宫内膜癌
肿瘤微环境
疾病
计算生物学
生物信息学
癌症
肿瘤科
免疫学
生物
内科学
作者
Yumeng Li,Hua Qiu,Zhenzhen Zhao,Fanghua Qi,Pingping Cai
标识
DOI:10.3389/fimmu.2025.1636483
摘要
Globally, endometrial cancer continues to impact a significant number of women. Immunotherapy provides those suffering from advanced or relapsed disease hope, but an important barrier is still the absence of trustworthy predictive biomarkers. To tackle this challenge, single-cell sequencing and spatial transcriptomics (ST) are increasingly applied. In cervical cancers of the no specific molecular profile (NSMP) subtype accompanied by p53 mutations. In many cases, the tumor microenvironment (TME) in endometrial cancer exhibits strong immunosuppression or poor immune cell infiltration, often leading to worse clinical outcomes. Single-cell sequencing reveals cellular heterogeneity and helps identify potential therapeutic targets and predict treatment responses. Conversely, ST assists in determining biomarkers that influence the effectiveness of immunotherapy by capturing the spatial organization of tumors. When combined, these technologies allow for integrated multi-omics analysis that aids in the development of immunotherapies, prognostication, and diagnosis. But there are still moral and legal issues. Clinicians may be able to improve outcomes for patients who don’t respond well to current immunotherapies by utilizing these combined approaches.
科研通智能强力驱动
Strongly Powered by AbleSci AI