ArticleJournal of cancer research and clinical oncology2023
PD-1, PD-L1 and cAMP immunohistochemical expressions are associated with worse oncological outcome in patients with bladder cancer.
Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Micro- and Nanoplastics and Functional Nutrients in Human Health: Epigenetic Mechanisms and Cellular Resilience Signaling in Brain Insulin Resistance and the Risk of Alzheimer's Disease.International journal of molecular sciences · 2025Review
- Article
- Construction of a prediction model for prognosis of bladder cancer based on the expression of ion channel-related genes.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2023Article
- Article
- Tumor microenvironment and epithelial-mesenchymal transition in bladder cancer: Cytokines in the game?Frontiers in molecular biosciences · 2022Review
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeIn this study, we aimed to identify prognostic factors of cancer mortality in patients who received radical cystectomy and to identify genomic alterations in a sub-cohort of patients with locally advanced (pT3-4) and/or positive lymph nodes bladder cancer (BC).
methodsWe collected 101 BC samples from 2010 to 2018 who previously received radical cystectomy. Immunohistochemical slides were evaluated for PPAR, cAMP, IMP3, Ki67, CDK4, POU5F1, Cyclin E and MDM2, p65, CD3, CD4, CD8, CD20, CD68, CD163, FOXP3, PD-1 and PD-L1 expression. We calculated a prognostic score (PS) based on the positivity to PD-1, PD-L1 and of cAMP (final score ranging from 0 to 3). DNA of each sample have been used for sequencing by NGS in a sub-cohort of 6 patients with locally advanced (pT3-4) and/or positive lymph nodes BC.
resultsPD-1
conclusionBC exhibited heterogenous protein expression and variable genomic features. Identification of expression of PD-1, PD-L1 and cAMP could help in predicting oncological outcomes.
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