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

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.

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Publication Details

Journal
Computer Methods in Biomechanics & Biomedical Engineering
Published
2026-08-26
DOI
https://doi.org/10.1080/10255842.2026.2723072
Primary Topic
Telomeres, Telomerase, and Senescence
Type
article
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article

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

Haixia Pang, Yao Fu, Wei Ren, Li Du et al.
Computer Methods in Biomechanics & Biomedical Engineering
Telomeres, Telomerase, and Senescence
article

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

Haixia Pang, Yao Fu, Wei Ren, Li Du, Haiyang Zhang, Jifeng Wan
article en

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.

Computer Methods in Biomechanics & Biomedical Engineering
County Hospital (GB), Command Hospital (IN)
Good health and well-being
Openalex Percentile: Top 10%
Telomeres, Telomerase, and Senescence
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Comprehensive analysis of senescence-associated secretory phenotype-related signature for predicting prognosis and immunotherapy response in cervical cancer — Haixia Pang, Yao Fu, et al. · Computer Methods in Biomechanics & Biomedical Engineering (2026) | TGRS Research Map | TGRS