Comprehensive analysis of senescence-associated secretory phenotype-related signature for predicting prognosis and immunotherapy response in cervical cancer.

IF 1.9 4区 医学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Yao Fu, Li Du, Haiyang Zhang, Jifeng Wan, Wei Ren, Haixia Pang
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引用次数: 0

Abstract

Cervical cancer (CESC) is a common malignancy in women. The senescence-associated secretory phenotype (SASP) contributes to tumor progression. We developed and validated a 7-gene SASP-related prognostic signature (PTPRB, RBM38, WNT3A, TNF, SPP1, ROR1, and MEIS2) using TCGA and GEO datasets. Patients in the low-risk group exhibited a more favorable prognosis and distinct immune infiltration patterns. TIDE analysis indicated a more favorable predicted immunotherapy response in the low-risk group. Single-cell analysis demonstrated distinct expression patterns of prognostic genes across cell types. This signature may help predict prognosis and therapeutic response in CESC patients.

衰老相关分泌表型相关特征预测宫颈癌预后和免疫治疗反应的综合分析。
宫颈癌(CESC)是女性常见的恶性肿瘤。衰老相关分泌表型(SASP)促进肿瘤进展。我们使用TCGA和GEO数据集开发并验证了7个基因的sasp相关预后特征(PTPRB、RBM38、WNT3A、TNF、SPP1、ROR1和MEIS2)。低危组患者预后较好,免疫浸润模式明显。TIDE分析显示低危组有更有利的预测免疫治疗反应。单细胞分析显示不同细胞类型的预后基因有不同的表达模式。这一特征可能有助于预测CESC患者的预后和治疗反应。
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来源期刊
CiteScore
4.10
自引率
6.20%
发文量
179
审稿时长
4-8 weeks
期刊介绍: The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.
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