In one paragraphArticle in Biomolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
21 authors.
Michele MassiminoDepartment of General Surgery and Medical-Surgical Specialties, University of Catania, 95123 Catania, Italy.
Elena TirròCenter of Experimental Oncology and Hematology, A.O.U. Policlinico "G. Rodolico-S. Marco", 95123 Catania, Italy.ORCID 0000-0001-8012-5134 Stefania StellaCenter of Experimental Oncology and Hematology, A.O.U. Policlinico "G. Rodolico-S. Marco", 95123 Catania, Italy.
Cristina TomarchioCenter of Experimental Oncology and Hematology, A.O.U. Policlinico "G. Rodolico-S. Marco", 95123 Catania, Italy.ORCID 0000-0002-1044-1008 Sebastiano Di BellaDepartment of Precision Medicine in Medical, Surgical and Critical Care (Me.Pre.C.C.), University of Palermo, 90127 Palermo, Italy.ORCID 0000-0001-7161-303X Silvia Rita VitaleCenter of Experimental Oncology and Hematology, A.O.U. Policlinico "G. Rodolico-S. Marco", 95123 Catania, Italy.ORCID 0000-0002-7948-3580 Chiara ContiDepartment of Human Pathology "G. Barresi", University of Messina, 98125 Messina, Italy.ORCID 0009-0007-7219-2477 Marialuisa PuglisiDepartment of Human Pathology "G. Barresi", University of Messina, 98125 Messina, Italy.
Rosa Maria Di CrescenzoPathology Unit, Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy.
Silvia VarricchioPathology Unit, Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy.
Francesco MerollaDepartment of Medicine and Health Sciences "V. Tiberio", University of Molise, 86100 Campobasso, Italy.ORCID 0000-0003-0711-6738 Giuseppe BroggiDepartment of Medical and Surgical Sciences and Advanced Technologies "G.F. Ingrassia", Anatomic Pathology, University of Catania, 95123 Catania, Italy.ORCID 0000-0003-2576-6523 Federica MartoranaDepartment of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.ORCID 0000-0001-5062-2914 Alice TurdoDepartment of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, 90127 Palermo, Italy.ORCID 0000-0002-6152-4903 Miriam GaggianesiDepartment of Precision Medicine in Medical, Surgical and Critical Care (Me.Pre.C.C.), University of Palermo, 90127 Palermo, Italy.ORCID 0000-0002-7810-856X Livia ManzellaCenter of Experimental Oncology and Hematology, A.O.U. Policlinico "G. Rodolico-S. Marco", 95123 Catania, Italy.
Andrea RussoDepartment of General Surgery and Medical-Surgical Specialties, University of Catania, 95123 Catania, Italy.
Giorgio StassiDepartment of Precision Medicine in Medical, Surgical and Critical Care (Me.Pre.C.C.), University of Palermo, 90127 Palermo, Italy.ORCID 0000-0002-1016-9059 Rosario CaltabianoDepartment of Medical and Surgical Sciences and Advanced Technologies "G.F. Ingrassia", Anatomic Pathology, University of Catania, 95123 Catania, Italy.ORCID 0000-0001-8591-8010 Stefania StaibanoPathology Unit, Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy.
Paolo VigneriDepartment of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.
Funding
This work was supported by the European Union's NextGenerationEU initiative under the Italian Ministry of University and Research as part of the PNRR - M4C2-I1.3 Project PE00000019 "HEAL ITALIA" awarded to Michele Massimino, Federica Martorana, Paolo Vign PNRR - M4C2-I1.3 Project PE00000019 "HEAL ITALIA and PNRR-MAD-2022-12376183
6 · The paper itselfAbstract
backgroundDespite advances in uveal melanoma (UM) diagnosis and treatment, about 50% of patients develop distant metastases, thereby displaying poor overall survival. Molecular profiling has identified several genetic alterations that can stratify patients with UM into different risk categories. However, these genetic alterations are currently dispersed over multiple studies and several methodologies, emphasizing the need for a defined workflow that will allow standardized and reproducible molecular analyses.
methodsFollowing the findings published by "The Cancer Genome Atlas-UM" (TCGA-UM) study, we developed an NGS-based gene panel (called the UMpanel) that classifies mutation sets in four categories: initiating alterations (
resultsEmploying commercial gene panels, reference mutated DNAs and Sanger sequencing, we performed a comparative analysis and found that our methodological approach successfully predicted survival with great specificity and sensitivity compared to the TCGA-UM cohort that was used as a validation group.
conclusionsOur results demonstrate that a reproducible NGS-based workflow translates into a reliable tool for the clinical stratification of patients with UM.
Indexed as
High-Throughput Nucleotide SequencingMelanomaUveal NeoplasmsBiomarkers, TumorFemaleHumansMaleMutationPrognosisUveal MelanomaWorkflowBiomarkers, Tumormolecular profilingNGSTCGAuveal melanoma
Identifiers
PMID39858540
PMCPMC11763870
What OpenQuestion holds
Textmetadata
LicenceCC BY
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