Evidence map›Paper›PMID 28303962›Full record

SynthesisScientific reports2017

Identification of novel chemotherapeutic strategies for metastatic uveal melanoma.

Paolo Fagone, Rosario Caltabiano, Andrea Russo, Gabriella Lupo, Carmelina Daniela Anfuso, Maria Sofia Basile, Antonio Longo, Ferdinando Nicoletti, Rocco De Pasquale, Massimo Libra and 1 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 3 pooled it
7.0field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 3 syntheses or guidelines pooled it, 55 citations in OpenAlex.

  1. Pooled it
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  13. NFrontiers in immunology · 2022
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  15. Frontiers in molecular biosciences · 2022
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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

11 authors at 2 institutions in 1 country.

Paolo FagoneDepartment of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy.
Rosario CaltabianoDepartment of Medical and Surgical Sciences and Advanced Technologies, G.F. Ingrassia, University of Catania, Catania, Italy.
Andrea RussoDepartment of Ophthalmology, University of Catania, Catania, Italy.
Gabriella LupoDepartment of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy.
Carmelina Daniela AnfusoDepartment of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy.
Maria Sofia BasileDepartment of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy.
Antonio LongoDepartment of Ophthalmology, University of Catania, Catania, Italy.
Ferdinando NicolettiDepartment of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy.
Rocco De PasqualeDepartment of Dermatology, AOU Policlinico Vittorio Emanuele Hospital Catania, Catania, Italy.
Massimo LibraDepartment of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy.
Michele ReibaldiDepartment of Ophthalmology, University of Catania, Catania, Italy.
University of Catania · ITAzienda Ospedaliero-Universitaria Policlinico - Vittorio Emanuele · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanoma of the uveal tract accounts for approximately 5% of all melanomas and represents the most common primary intraocular malignancy. Despite improvements in diagnosis and more effective local therapies for primary cancer, the rate of metastatic death has not changed in the past forty years. In the present study, we made use of bioinformatics to analyze the data obtained from three public available microarray datasets on uveal melanoma in an attempt to identify novel putative chemotherapeutic options for the liver metastatic disease. We have first carried out a meta-analysis of publicly available whole-genome datasets, that included data from 132 patients, comparing metastatic vs. non metastatic uveal melanomas, in order to identify the most relevant genes characterizing the spreading of tumor to the liver. Subsequently, the L1000CDS

Indexed as

AgedCinnarizineClofazimineDigitoxigeninDrug TherapyFemaleGene Expression Regulation, NeoplasticHumansLiver NeoplasmsMaleMelanomaMicroarray AnalysisMiddle AgedNeoplasm MetastasisNeoplasm ProteinsUveal MelanomaCinnarizineClofazimineDigitoxigeninNeoplasm Proteins

Identifiers

PMID28303962
PMCPMC5355998
OpenAlexW2595923944

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.