Literature DB >> 29056300

Screening Children at Risk for Retinoblastoma: Consensus Report from the American Association of Ophthalmic Oncologists and Pathologists.

Alison H Skalet1, Dan S Gombos2, Brenda L Gallie3, Jonathan W Kim4, Carol L Shields5, Brian P Marr6, Sharon E Plon7, Patricia Chévez-Barrios8.   

Abstract

PURPOSE: To provide a set of surveillance guidelines for children at risk for development of retinoblastoma.
DESIGN: Consensus panel. PARTICIPANTS: Expert panel of ophthalmic oncologists, pathologists, and geneticists.
METHODS: A group of members of the American Association of Ophthalmic Oncologists and Pathologists (AAOOP) with support of the American Association for Pediatric Ophthalmology and Strabismus and the American Academy of Pediatrics (AAP) was convened. The panel included representative ophthalmic oncologists, pathologists, and geneticists from retinoblastoma referral centers located in various geographic regions who met and discussed screening approaches for retinoblastoma. A patient "at risk" was defined as a person with a family history of retinoblastoma in a parent, sibling, or first- or second-degree relative. MAIN OUTCOME MEASURES: Screening recommendations for children at risk for retinoblastoma.
RESULTS: Consensus statement from the panel: (1) Dedicated ophthalmic screening is recommended for all children at risk for retinoblastoma above the population risk. (2) Frequency of examinations is adjusted on the basis of expected risk for RB1 mutation. (3) Genetic counseling and testing clarify the risk for retinoblastoma in children with a family history of the disease. (4) Examination schedules are stratified on the basis of high-, intermediate-, and low-risk children. (5) Children at high risk for retinoblastoma require more frequent screening, which may preferentially be examinations under anesthesia.
CONCLUSIONS: Risk stratification including genetic testing and counseling serves as the basis for screening of children at elevated risk for development of retinoblastoma.
Copyright © 2017 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2017        PMID: 29056300     DOI: 10.1016/j.ophtha.2017.09.001

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


  17 in total

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2.  An Online Application for Retinoblastoma Surveillance.

Authors:  Nakul Singh; Meghan J DeBenedictis; Arun D Singh
Journal:  Ocul Oncol Pathol       Date:  2020-03-10

Review 3.  Retinoblastoma and vision.

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4.  Dual-Target Multifunctional Superparamagnetic Cationic Nanoliposomes for Multimodal Imaging-Guided Synergistic Photothermal/Photodynamic Therapy of Retinoblastoma.

Authors:  Wendi Zheng; Xing Li; Hongmi Zou; Yan Xu; Pan Li; Xiyuan Zhou; Mingxing Wu
Journal:  Int J Nanomedicine       Date:  2022-07-26

Review 5.  Tumor-Based Genetic Testing and Familial Cancer Risk.

Authors:  Andrea Forman; Jilliane Sotelo
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Review 6.  Timeliness of diagnosis and treatment: the challenge of childhood cancers.

Authors:  Callum J R Mullen; Ronald D Barr; Eduardo L Franco
Journal:  Br J Cancer       Date:  2021-09-01       Impact factor: 9.075

7.  Mutational screening of germline RB1 gene in Vietnamese patients with retinoblastoma reveals three novel mutations.

Authors:  Ha Hai Nguyen; Hoa Thi Thanh Nguyen; Nhung Phuong Vu; Quynh Thuy Le; Chau Minh Pham; Thuong Thi Huyen; Hung Manh; Hang Le Bich Pham; Ton Dang Nguyen; Hien Thi Thu Le; Hai Van Nong
Journal:  Mol Vis       Date:  2018-03-17       Impact factor: 2.367

8.  Association between MDM2 rs2279744, MDM2 rs937283, and p21 rs1801270 polymorphisms and retinoblastoma susceptibility.

Authors:  Qixin Cao; Yun Wang; Xiaohui Song; Weihua Yang
Journal:  Medicine (Baltimore)       Date:  2018-12       Impact factor: 1.817

Review 9.  Updates in imaging in ocular oncology.

Authors:  Jose R Davila; Prithvi Mruthyunjaya
Journal:  F1000Res       Date:  2019-10-01

10.  Identification of co‑expression modules and hub genes of retinoblastoma via co‑expression analysis and protein‑protein interaction networks.

Authors:  Yukun Mao; Qingbin Nie; Yang Yang; Gengsheng Mao
Journal:  Mol Med Rep       Date:  2020-05-27       Impact factor: 2.952

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