Digital Quantification of Intratumoral CD8+ T-Cells Predicts Relapse and Unfavorable Outcome in Uveal Melanoma.

immunohistochemistry prognosis tumor microenvironment uveal melanoma

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
02 Dec 2022
Historique:
received: 08 09 2022
revised: 20 09 2022
accepted: 26 09 2022
entrez: 11 12 2022
pubmed: 12 12 2022
medline: 12 12 2022
Statut: epublish

Résumé

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

Identifiants

pubmed: 36497441
pii: cancers14235959
doi: 10.3390/cancers14235959
pmc: PMC9740732
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Ozge Hurdogan (O)

Department of Pathology, Istanbul Faculty of Medicine, Istanbul University, Istanbul 34093, Turkey.

Francesco De Logu (F)

Department of Health Sciences, Section of Clinical Pharmacology and Oncology, University of Florence, 50100 Florence, Italy.

Francesca Galli (F)

Methodology for Clinical Research Laboratory, Oncology Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milan, Italy.

Samuray Tuncer (S)

Department of Ophthalmology, Istanbul Faculty of Medicine, Istanbul University, Istanbul 34093, Turkey.

Filippo Ugolini (F)

Department of Health Sciences, Section of Pathological Anatomy, University of Florence, 50100 Florence, Italy.

Sara Simi (S)

Department of Health Sciences, Section of Pathological Anatomy, University of Florence, 50100 Florence, Italy.

Francesca Portelli (F)

Department of Health Sciences, Section of Pathological Anatomy, University of Florence, 50100 Florence, Italy.
Klinisk Patologi och Cancerdiagnostik, Karolinska Universitetssjukhuset, 17176 Solna, Sweden.

Romina Nassini (R)

Department of Health Sciences, Section of Clinical Pharmacology and Oncology, University of Florence, 50100 Florence, Italy.

Daniela Massi (D)

Department of Health Sciences, Section of Pathological Anatomy, University of Florence, 50100 Florence, Italy.

Nesimi Buyukbabani (N)

Department of Pathology, Istanbul Faculty of Medicine, Istanbul University, Istanbul 34093, Turkey.

Classifications MeSH