Revolutionizing prognosis: Introducing cell death index (CDI) as a powerful prognostic tool for CSCC patients

IF 3.2 3区医学 Q2 ENVIRONMENTAL SCIENCES

Environmental Toxicology Pub Date : 2025-01-31 DOI:10.1002/tox.24265

Rongjun Tang, Qing Yao, Ke Zhang, Qingqing Yu, Jun Lou, Lingdi Li

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引用次数: 0

Abstract

Background

Cervical squamous cell carcinoma (CSCC) threatens the body health of women worldwide. This study aimed to foster a new concept of prognostic indicator named cell death index (CDI).

Methods

RNA-seq and scRNA-seq datasets were downloaded from the GEO and TCGA database as the training and validation cohorts. Programmed cell death (PCD)-related gene signatures were obtained from published research. The construction of prognostic model was performed based on CDI value. Patients with CSCC were divided into high- and low-CDI groups. We explored the differences in overall survival time, immune infiltration, mutation status, and drug sensitivity between high and low CDI groups by R software.

Results

We constructed prognostic model to calculate the CDI value with 23 genes. Patients with high CDI have shorter survival time than those with low CDI. CDI was considered a risk factor compared to other characteristics. The nomogram model estimated overall survival (OS) at 1, 3, and 6 years, with age, Stage, and CDI, indicating the accuracy of the model in predicting 1-, 3-, and 6-year survival rates. CDI values were negatively correlated with most immune checkpoint genes. We measured the significant drug sensitivity of Mitoxantrone, Sabutoclax, Sepantronium bromide, Topotecan, BI-2536, and BMS-754807 between high- and low-CDI groups with significant correlation.

Conclusion

This investigation constructed a novel effective prognostic indicator of CDI in patients with CSCC and identified potential genes associated with cell death that could be targeted for prognosis and treatment of CSCC.

查看原文本刊更多论文

革命性的预后：引入细胞死亡指数（CDI）作为CSCC患者的强大预后工具。

背景：宫颈鳞状细胞癌（CSCC）威胁着全世界妇女的身体健康。本研究旨在提出一种新的预后指标概念——细胞死亡指数（CDI）。方法：从GEO和TCGA数据库下载RNA-seq和scRNA-seq数据集作为训练和验证队列。程序性细胞死亡（PCD）相关的基因特征从已发表的研究中获得。基于CDI值构建预后模型。将CSCC患者分为高cdi组和低cdi组。采用R软件分析CDI高、低组患者的总生存时间、免疫浸润、突变状态、药物敏感性等差异。结果：构建预后模型，计算23个基因的CDI值。高CDI患者的生存时间比低CDI患者短。与其他特征相比，CDI被认为是一个危险因素。nomogram模型估计了1年、3年和6年的总生存率（OS），包括年龄、分期和CDI，表明该模型预测1年、3年和6年生存率的准确性。CDI值与大多数免疫检查点基因呈负相关。我们测量了米托蒽醌、沙布托克、溴化塞泮曲铵、拓扑替康、BI-2536和BMS-754807在高、低cdi组之间的显著药物敏感性，且具有显著相关性。结论：本研究构建了CSCC患者CDI的一种新的有效预后指标，并发现了与细胞死亡相关的潜在基因，可用于CSCC的预后和治疗。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Environmental Toxicology 环境科学-毒理学

CiteScore

7.10

自引率

8.90%

发文量

261

审稿时长

4.5 months

期刊介绍： The journal publishes in the areas of toxicity and toxicology of environmental pollutants in air, dust, sediment, soil and water, and natural toxins in the environment.Of particular interest are: Toxic or biologically disruptive impacts of anthropogenic chemicals such as pharmaceuticals, industrial organics, agricultural chemicals, and by-products such as chlorinated compounds from water disinfection and waste incineration; Natural toxins and their impacts; Biotransformation and metabolism of toxigenic compounds, food chains for toxin accumulation or biodegradation; Assays of toxicity, endocrine disruption, mutagenicity, carcinogenicity, ecosystem impact and health hazard; Environmental and public health risk assessment, environmental guidelines, environmental policy for toxicants.