Literature DB >> 26854035

The Pediatric Choroidal and Ciliary Body Melanoma Study: A Survey by the European Ophthalmic Oncology Group.

Rana'a T Al-Jamal1, Nathalie Cassoux2, Laurence Desjardins2, Bertil Damato3, Lazaros Konstantinidis3, Sarah E Coupland4, Heinrich Heimann3, Aleksandra Petrovic5, Leonidas Zografos5, Ann Schalenbourg5, Juan P Velazquez-Martin6, Hatem Krema6, Anna Bogdali7, Anna Markiewicz7, Bozena Romanowska-Dixon7, Claudia H D Metz8, Eva Biewald8, Norbert Bornfeld8, Hayyam Kiratli9, Inge H G Bronkhorst10, Martine J Jager10, Marina Marinkovic10, Maria Fili11, Stefan Seregard11, Shahar Frenkel12, Jacob Pe'er12, Sachin M Salvi13, Ian G Rennie13, Iwona Rospond-Kubiak14, Jaroslaw Kociecki14, Jens Folke Kiilgaard15, Steffen Heegaard15, Victoria M L Cohen16, Mandeep S Sagoo16, Anush Amiryan17, Svetlana Saakyan17, Nils Eide18, Jørgen Krohn19, Edoardo Midena20, Raffaele Parrozzani21, Jean-Daniel Grange22, Emine Kilic23, Maria Antonietta Blasi24, Maria Antonia Saornil25, Tero T Kivelä26.   

Abstract

PURPOSE: To collect comprehensive data on choroidal and ciliary body melanoma (CCBM) in children and to validate hypotheses regarding pediatric CCBM: children younger than 18 years, males, and those without ciliary body involvement (CBI) have more favorable survival prognosis than young adults 18 to 24 years of age, females, and those with CBI.
DESIGN: Retrospective, multicenter observational study. PARTICIPANTS: Two hundred ninety-nine patients from 24 ocular oncology centers, of whom 114 were children (median age, 15.1 years; range, 2.7-17.9 years) and 185 were young adults.
METHODS: Data were entered through a secure website and were reviewed centrally. Survival was analyzed using Kaplan-Meier analysis and Cox proportional hazards regression. MAIN OUTCOME MEASURES: Proportion of females, tumor-node-metastasis (TNM) stage, cell type, and melanoma-related mortality.
RESULTS: Cumulative frequency of having CCBM diagnosed increased steadily by 0.8% per year of age between 5 and 10 years of age and, after a 6-year transition period, by 8.8% per year from age 17 years onward. Of children and young adults, 57% and 63% were female, respectively, which exceeded the expected 51% among young adults. Cell type, known for 35% of tumors, and TNM stage (I in 22% and 21%, II in 49% and 52%, III in 30% and 28%, respectively) were comparable for children and young adults. Melanoma-related survival was 97% and 90% at 5 years and 92% and 80% at 10 years for children compared with young adults, respectively (P = 0.013). Males tended to have a more favorable survival than females among children (100% vs. 85% at 10 years; P = 0.058). Increasing TNM stage was associated with poorer survival (stages I, II, and III: 100% vs. 86% vs. 76%, respectively; P = 0.0011). By multivariate analysis, being a young adult (adjusted hazard rate [HR], 2.57), a higher TNM stage (HR, 2.88 and 8.38 for stages II and III, respectively), and female gender (HR, 2.38) independently predicted less favorable survival. Ciliary body involvement and cell type were not associated with survival.
CONCLUSIONS: This study confirms that children with CCBM have a more favorable survival than young adults 18 to 25 years of age, adjusting for TNM stage and gender. The association between gender and survival varies between age groups.
Copyright © 2016 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2016        PMID: 26854035     DOI: 10.1016/j.ophtha.2015.12.024

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  16 in total

Review 1.  Recent Advances and Challenges in Uveal Melanoma Immunotherapy.

Authors:  Yihang Fu; Wei Xiao; Yuxiang Mao
Journal:  Cancers (Basel)       Date:  2022-06-23       Impact factor: 6.575

2.  A Predictive Web-Based Nomogram for Elderly Patients Newly Diagnosed as Uveal Melanoma: A Population-Based Study.

Authors:  Meng Lv; Xinhua Yan; Yuanxing Tu
Journal:  Front Med (Lausanne)       Date:  2022-06-23

3.  Whole Exome Sequencing Identifies Candidate Genes Associated with Hereditary Predisposition to Uveal Melanoma.

Authors:  Mohamed H Abdel-Rahman; Klarke M Sample; Robert Pilarski; Tomas Walsh; Timothy Grosel; Daniel Kinnamon; Getachew Boru; James B Massengill; Lynn Schoenfield; Ben Kelly; David Gordon; Peter Johansson; Meghan J DeBenedictis; Arun Singh; Silvia Casadei; Frederick H Davidorf; Peter White; Andrew W Stacey; James Scarth; Ellie Fewings; Marc Tischkowitz; Mary-Claire King; Nicholas K Hayward; Colleen M Cebulla
Journal:  Ophthalmology       Date:  2019-11-18       Impact factor: 12.079

4.  Five Decades of Enucleations for Uveal Melanoma in One Center: More Tumors with High Risk Factors, No Improvement in Survival over Time.

Authors:  Christine D M Roelofsen; Annemijn P A Wierenga; Sjoerd van Duinen; Robert M Verdijk; Jaco Bleeker; Marina Marinkovic; Gregorius P M Luyten; Martine J Jager
Journal:  Ocul Oncol Pathol       Date:  2020-12-15

5.  Pristimerin-induced uveal melanoma cell death via inhibiting PI3K/Akt/FoxO3a signalling pathway.

Authors:  Fengxia Yan; Rifang Liao; Marta Silva; Shuai Li; Yizhou Jiang; Tangming Peng; Philip Lazarovici; Wenhua Zheng
Journal:  J Cell Mol Med       Date:  2020-04-29       Impact factor: 5.310

Review 6.  Posterior uveal melanoma in adolescents and children: current perspectives.

Authors:  Matthew V Fry; James J Augsburger; June Hall; Zélia M Corrêa
Journal:  Clin Ophthalmol       Date:  2018-11-07

7.  Vitamin D receptors (VDR), hydroxylases CYP27B1 and CYP24A1 and retinoid-related orphan receptors (ROR) level in human uveal tract and ocular melanoma with different melanization levels.

Authors:  Anna Markiewicz; Anna A Brożyna; Ewa Podgórska; Martyna Elas; Krystyna Urbańska; Anton M Jetten; Andrzej T Slominski; Wojciech Jóźwicki; Jolanta Orłowska-Heitzman; Grzegorz Dyduch; Bożena Romanowska-Dixon
Journal:  Sci Rep       Date:  2019-06-24       Impact factor: 4.379

Review 8.  Genetics of Ocular Melanoma: Insights into Genetics, Inheritance and Testing.

Authors:  Natasha M van Poppelen; Daniël P de Bruyn; Tolga Bicer; Rob Verdijk; Nicole Naus; Hanneke Mensink; Dion Paridaens; Annelies de Klein; Erwin Brosens; Emine Kiliҫ
Journal:  Int J Mol Sci       Date:  2020-12-30       Impact factor: 5.923

9.  Optimization of the Convolutional Neural Networks for Automatic Detection of Skin Cancer.

Authors:  Long Zhang; Hong Jie Gao; Jianhua Zhang; Benjamin Badami
Journal:  Open Med (Wars)       Date:  2020-01-13

Review 10.  Iris Colour and the Risk of Developing Uveal Melanoma.

Authors:  Laurien E Houtzagers; Annemijn P A Wierenga; Aleid A M Ruys; Gregorius P M Luyten; Martine J Jager
Journal:  Int J Mol Sci       Date:  2020-09-28       Impact factor: 5.923

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