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Combination Biomarker of Immune Checkpoints Predict Prognosis of Urothelial Carcinoma. | LitMetric

AI Article Synopsis

  • * An analysis of data from 308 UC patients revealed that the expression of certain immune checkpoint markers is linked to advanced UC and worse prognosis, suggesting they might serve as independent biomarkers for survival.
  • * The study found that early-stage UC tumors are often "cold," with few immune cells, while about 30% of late-stage tumors show an abundance of cytotoxic T cells, indicating that these cells are inhibited; this highlights the potential for transforming cold tumors into hot ones to improve treatment outcomes.

Article Abstract

In contrast to Western counties, the incidence of urothelial carcinoma (UC) remains mar-edly elevated in Taiwan. Regulatory T cells (Tregs) play a crucial role in limiting immune responses within the tumor microenvironment. To elucidate the relationship between immune checkpoints in the tumor immune microenvironment and UC progression, we utilize the Gene Expression Omnibus (GEO) to analyze a microarray obtained from 308 patients with UC. We observed that the expression level of or was positively correlated with late-stage UC and poor prognosis. Patients with simultaneously high and expression in tumors have significantly reduced both univariate and multivariate survival, indicating that mRNA levels of these immune checkpoints could be independent prognostic biomarkers for UC overall survival and recurrence. Our cohort study showed rare CD8+ cytotoxic T-cells and Tregs infiltration during early-stage UC-known as cold tumors. Approximately 30% of late-stage tumors exhibited highly infiltrated cytotoxic T cells with high PD-1 and FOXP3 expression, which implied that cytotoxic T cells were inhibited in the advanced UC microenvironment. Collectively, our findings provide a better prognosis prediction by combined immune checkpoint biomarkers and a basis for early-stage UC standard treatment to convert cold tumors into hot tumors, followed by immune checkpoint therapy.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772792PMC
http://dx.doi.org/10.3390/biomedicines10010008DOI Listing

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