13q Deletion Syndrome Involving RB1: Characterization of a New Minimal Critical Region for Psychomotor Delay

Recent progress in retinoblastoma: Pathogenesis, presentation, diagnosis and management

Retinoblastoma, the primary ocular malignancy in pediatric patients, poses a substantial threat to mortality without prompt and effective management. The prognosis for survival and preservation of visual acuity hinges upon the disease severity at the time of initial diagnosis. Notably, retinoblastoma has played a crucial role in unraveling the genetic foundations of oncogenesis. The process of tumorigenesis commonly begins with the occurrence of biallelic mutation in the RB1 tumor suppressor gene, which is then followed by a cascade of genetic and epigenetic alterations that correspond to the clinical stage and pathological features of the tumor. The RB1 gene, recognized as a tumor suppressor, encodes the retinoblastoma protein, which plays a vital role in governing cellular replication through interactions with E2F transcription factors and chromatin remodeling proteins. The diagnosis and treatment of retinoblastoma necessitate consideration of numerous factors, including disease staging, germline mutation status, family psychosocial factors, and the resources available within the institution. This review has systematically compiled and categorized the latest developments in the diagnosis and treatment of retinoblastoma which enhanced the quality of care for this pediatric malignancy.

Retinoblastoma and polydactyly in a child with 46, XY, 15pstk+ karyotype-A case report and literature review

BACKGROUND

Retinoblastoma (Rb) is the most common intraocular malignancy in childhood, originating from primitive retinal stem cells or cone precursor cells. It can be triggered by mutations of the RB1 gene or amplification of the MYCN gene. Rb may rarely present with polydactyly.

METHODS

We conducted karyotype analysis, copy number variation sequencing, and whole-genome sequencing on the infant proband and his family. The clinical course and laboratory results of the proband's infant were documented and collected. We also reviewed the relevant literature.

RESULTS

A 68-day-old boy presented with preaxial polydactyly and corneal edema. His intraocular pressure (IOP) was 40/19 mmHg, and color Doppler imaging revealed vitreous solid mass-occupying lesions with calcification in the right eye. Ocular CT showed flaky high-density and calcification in the right eye. This was classified as an International Retinoblastoma Staging System group E retinoblastoma with an indication for enucleation. Enucleation and orbital implantation were performed on the child's right eye. Karyotype analysis revealed an abnormal 46, XY, 15pstk+ karyotype, and the mother exhibited diploidy of the short arm of chromosome 15. The Alx-4 development factor, 13q deletion syndrome, and the PAPA2 gene have been reported as potential mechanisms for Rb combined with polydactyly.

CONCLUSION

We report the case of a baby boy with Rb and polydactyly exhibiting a 46, XY, 15pstk+ Karyotype. We discuss potential genetic factors related to both Rb and polydactyly. Furthermore, there is a need for further exploration into the impact of chromosomal polymorphisms in Rb with polydactyly.

GA4GH Phenopackets: A Practical Introduction

The Global Alliance for Genomics and Health (GA4GH) is developing a suite of coordinated standards for genomics for healthcare. The Phenopacket is a new GA4GH standard for sharing disease and phenotype information that characterizes an individual person, linking that individual to detailed phenotypic descriptions, genetic information, diagnoses, and treatments. A detailed example is presented that illustrates how to use the schema to represent the clinical course of a patient with retinoblastoma, including demographic information, the clinical diagnosis, phenotypic features and clinical measurements, an examination of the extirpated tumor, therapies, and the results of genomic analysis. The Phenopacket Schema, together with other GA4GH data and technical standards, will enable data exchange and provide a foundation for the computational analysis of disease and phenotype information to improve our ability to diagnose and conduct research on all types of disorders, including cancer and rare diseases.