Digital Quantification of Intratumoral CD8+ T-Cells Predicts Relapse and Unfavorable Outcome in Uveal Melanoma.
Ozge HurdoganFrancesco De LoguFrancesca GalliSamuray TuncerFilippo UgoliniSara SimiFrancesca PortelliRomina NassiniDaniela MassiNesimi BuyukbabaniPublished in: Cancers (2022)
Although it is a disease that occurs mainly in the Caucasian population, uveal melanoma (UM) is the most common primary intraocular tumor in adults. Here, we used digital pathology and image analysis for the diagnosis of UM and the prediction of the prognosis. Our retrospective study included a total of 404 histopathological slides from 101 patients. A digital image acquisition and quantitative analysis of tissue immune biomarkers (CD4, CD8, CD68, CD163) were performed. A negative impact of the intratumoral CD8 positive cell density higher than 13.3 cells/mm 2 was detected for both RFS (HR 2.08, 95% Cl 1.09 to 3.99, p = 0.027) and OS (HR 3.30, 95% CI 1.58 to 6.88, p = 0.001). Moreover, we confirmed that older age and stage III were independent negative prognostic factors for both RFS and OS. Our results suggest that a specific distribution profile of CD8 in UM might predict the risk of relapse and death, with potential implications for determining which subgroups of UMs are amenable to specific pharmacological treatment regimens.
Keyphrases
- prognostic factors
- end stage renal disease
- newly diagnosed
- induced apoptosis
- ejection fraction
- single cell
- cell cycle arrest
- chronic kidney disease
- peritoneal dialysis
- cell therapy
- free survival
- high resolution
- deep learning
- machine learning
- cell death
- stem cells
- patient reported outcomes
- bone marrow
- endoplasmic reticulum stress
- climate change
- mesenchymal stem cells
- signaling pathway
- basal cell carcinoma
- pi k akt