一种用于宫颈癌预后预测的anoiki相关基因标记的开发和验证。

IF 2.1 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL
International Journal of General Medicine Pub Date : 2025-06-04 eCollection Date: 2025-01-01 DOI:10.2147/IJGM.S508059
Silu Meng, Xiangqin Li, Jianwei Zhang, Xiaodong Cheng
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引用次数: 0

摘要

背景:宫颈癌在世界范围内的发病率和死亡率仍然很高。本研究旨在评估anoiic相关基因(ARGs)在宫颈癌患者中的预后价值,并建立一种准确预测患者生存的风险评分模型。方法:从TCGA-CESC和CGCI-HTMCP-CC下载宫颈癌组织表达谱和存活数据。我们确定了83种与患者生存显著相关的ARGs。随后,我们建立了一个基于10个关键基因的风险评分模型。我们通过生存分析、ROC曲线分析和包含临床因素的nomogram来评估模型的预测性能。此外,我们通过免疫组织化学染色验证了颗粒酶B (GZMB)的表达。此外,我们通过差异基因表达和功能富集分析,比较了高风险和低风险患者组的生物学过程和途径富集。最后,我们调查了高危组和低危组患者的免疫微环境。结果:高危组患者的生存期明显低于低危组。免疫组化结果提示GZMB与宫颈癌患者预后相关。风险评分模型对宫颈癌患者的预后预测具有较高的准确性。差异基因表达分析显示,高危人群中与肿瘤侵袭和转移相关的通路丰富。相反,低风险组显示出与免疫反应途径激活密切相关。结论:嗜酸相关基因在宫颈癌患者预后中起重要作用。这一发现不仅提供了潜在的生物标志物,而且为告知治疗策略提供了有价值的见解。风险评分模型可以帮助临床医生更好地识别高危患者并制定个性化的治疗方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and Validation of an Anoikis-Related Gene Signature for Prognostic Prediction in Cervical Cancer.

Background: Cervical cancer still has high incidence and mortality rates worldwide. This study aimed to evaluate the prognostic value of anoikis-related genes (ARGs) and develop a risk scoring model for accurate survival prediction in cervical cancer patients.

Methods: The expression profiles of cervical cancer tissue and survival data were downloaded from TCGA-CESC and CGCI-HTMCP-CC. We identified 83 ARGs significantly associated with patients' survival. Subsequently, we developed a risk-scoring model based on 10 key genes. We assessed the predictive performance of our model by survival analysis, ROC curve analysis, and a nomogram that incorporated clinical factors. Additionally, we validated the expression of Granzyme B (GZMB) by immunohistochemical staining. Furthermore, we compared the biological processes and pathway enrichment in high-risk and low-risk patient groups, using differential gene expression and functional enrichment analysis. Finally, we investigated the immune microenvironment of patients in both high-risk and low-risk groups.

Results: Patients in the high-risk group had significantly poorer survival compared to those in the low-risk group. The immunohistochemical results suggested that GZMB was associated with the prognosis of cervical cancer patients. The risk scoring model showed high accuracy in predicting the prognosis of cervical cancer patients. Differential gene expression analysis revealed enriched pathways related to tumor invasion and metastasis in the high-risk group. Conversely, the low-risk group showed a strong association with the activation of immune response pathways.

Conclusion: This study concluded that anoikis-related genes played a crucial role in determining the prognosis of individuals with cervical cancer. This discovery not only presented potential biomarkers but also provided valuable insights for informing treatment strategies. The risk scoring model may assist clinicians in better identifying high-risk patients and personalizing treatment plans.

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来源期刊
International Journal of General Medicine
International Journal of General Medicine Medicine-General Medicine
自引率
0.00%
发文量
1113
审稿时长
16 weeks
期刊介绍: The International Journal of General Medicine is an international, peer-reviewed, open access journal that focuses on general and internal medicine, pathogenesis, epidemiology, diagnosis, monitoring and treatment protocols. The journal is characterized by the rapid reporting of reviews, original research and clinical studies across all disease areas. A key focus of the journal is the elucidation of disease processes and management protocols resulting in improved outcomes for the patient. Patient perspectives such as satisfaction, quality of life, health literacy and communication and their role in developing new healthcare programs and optimizing clinical outcomes are major areas of interest for the journal. As of 1st April 2019, the International Journal of General Medicine will no longer consider meta-analyses for publication.
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