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.
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.