Evidence map›Paper›PMID 36497441›Full record

ArticleCancers2022

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

Ozge Hurdogan, Francesco De Logu, Francesca Galli, Samuray Tuncer, Filippo Ugolini, Sara Simi, Francesca Portelli, Romina Nassini, Daniela Massi, Nesimi Buyukbabani

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 3 countries.

Ozge HurdoganDepartment of Pathology, Istanbul Faculty of Medicine, Istanbul University, Istanbul 34093, Turkey.
Francesco De LoguDepartment of Health Sciences, Section of Clinical Pharmacology and Oncology, University of Florence, 50100 Florence, Italy.ORCID 0000-0001-8360-6929
Francesca GalliMethodology for Clinical Research Laboratory, Oncology Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milan, Italy.ORCID 0000-0003-3091-7306
Samuray TuncerDepartment of Ophthalmology, Istanbul Faculty of Medicine, Istanbul University, Istanbul 34093, Turkey.
Filippo UgoliniDepartment of Health Sciences, Section of Pathological Anatomy, University of Florence, 50100 Florence, Italy.ORCID 0000-0003-3603-2111
Sara SimiDepartment of Health Sciences, Section of Pathological Anatomy, University of Florence, 50100 Florence, Italy.
Francesca PortelliDepartment of Health Sciences, Section of Pathological Anatomy, University of Florence, 50100 Florence, Italy.ORCID 0000-0002-3325-2357
Romina NassiniDepartment of Health Sciences, Section of Clinical Pharmacology and Oncology, University of Florence, 50100 Florence, Italy.ORCID 0000-0002-9223-8395
Daniela MassiDepartment of Health Sciences, Section of Pathological Anatomy, University of Florence, 50100 Florence, Italy.ORCID 0000-0002-5688-5923
Nesimi BuyukbabaniDepartment of Pathology, Istanbul Faculty of Medicine, Istanbul University, Istanbul 34093, Turkey.ORCID 0000-0003-0472-4826
University of Florence · ITIstanbul University · TRKarolinska University Hospital · SEMario Negri Institute for Pharmacological Research · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

Indexed as

immunohistochemistryprognosistumor microenvironmentuveal melanoma

Identifiers

PMID36497441
PMCPMC9740732
OpenAlexW4311106997

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 OpenQuestion graph.