ArticleFrontiers in immunology2025
Senescence-associated signature based on immunotherapy response sequencing reveals PPIL3 as target for bladder cancer treatment and prognosis prediction.
Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Single-cell and spatial transcriptomics reveal SUV39H1 as a master epigenetic driver of immunosuppressive niche and stemness in bladder cancer.Translational oncology · 2026Article
- Bladder Cancer Biomarkers: Recent Advances in Early Detection, Treatment Prediction, and Prognosis.Oncology research · 2026Review
- Development and validation of a novel signature to predict the survival and affect the immune microenvironment of esophageal squamous cell carcinoma: epigenetic-related genes.Frontiers in immunology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Bladder cancer (Bca) remains a major genitourinary malignancy with unmet needs in immunotherapy optimization. Despite advancements in immune checkpoint inhibitors (ICIs), challenges persist, including low response rates and drug resistance. Emerging evidence links tumor cell senescence to immunotherapy efficacy, yet predictive biomarkers are lacking. Methods: We integrated genomic sequencing of real-world Bca patients receiving low-dose paclitaxel combined with immunotherapy to identify differentially expressed genes (DEGs) between responders and non-responders. By intersecting DEGs with senescence-related gene sets (SRGs), we derived senescence-related DEGs (SRDEGs) and constructed a senescence-immunotherapy model (SIM) via TCGA-based multi-regression analysis. Results: The SIM, validated across three independent cohorts, demonstrated superior prognostic accuracy for overall survival (OS) compared to clinical parameters. High SIM scores correlated with immunosuppressive tumor microenvironments (TME). Drug sensitivity analysis revealed differential responses to cisplatin and paclitaxel between SIM subgroups. Critically, real-world validation confirmed SIM's predictive power for immunotherapy response. Multi-omics profiling further highlighted PPIL3 as a hub gene driving senescence and suppressing proliferation. Conclusions: This study establishes SIM as a dual-purpose tool for survival prediction and immunotherapy stratification, and suggested that PPIL3 could be a therapeutic target to enhance the efficacy of Bca by regulating senescence.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.