Detection and characterization of RB1 mosaicism in patients with retinoblastoma receiving cfDNA test Journal Article


Authors: Gao, C.; Patel, J.; Robbins, M.; Gedvilaite, E.; Bowman, A. S.; Arora, K.; Vanderbilt, C.; Brannon, A. R.; Friedman, D. N.; Kennedy, J.; Fiala, E.; Ceyhan-Birsoy, O.; Dunkel, I. J.; Weigelt, B.; Francis, J. H.; Reis-Filho, J. S.; Abramson, D. H.; Mandelker, D.
Article Title: Detection and characterization of RB1 mosaicism in patients with retinoblastoma receiving cfDNA test
Abstract: Importance: Plasma cell-free DNA (cfDNA) testing is increasingly used for disease diagnosis and monitoring in retinoblastoma, with RB1 allele fraction in cfDNA actively corresponding to disease status and treatment response. However, while RB1 mosaicism has been reported in retinoblastoma, its clinical implications and potential impact on cfDNA testing remain unclear. Objectives: To identify RB1 mosaicism using paired plasma and buffy coat (containing lymphocytes, monocytes, granulocytes, and platelets) DNA testing, and to characterize the implications of RB1 mosaicism on cfDNA testing outcomes. Design, Setting, and Participants: In this cross-sectional study, participants with retinoblastoma underwent testing with MSK-ACCESS (Memorial Sloan Kettering-Analysis of Circulating cfDNA to Examine Somatic Status), a clinical assay that combines plasma cfDNA and buffy coat genomic DNA sequencing, enabling the detection and differentiation of somatic, heterozygous, and mosaic variants, between July 2020 and April 2024 at the Memorial Sloan Kettering Cancer Center. Mosaic findings from MSK-ACCESS were correlated with those from a subgroup of patients who concurrently underwent testing using the MSK-IMPACT germline assay. Data analysis was performed from April to September 2024. Exposure: RB1 mosaicism in retinoblastoma. Main Outcomes and Measures: The RB1 variant allele fractions in cfDNA and buffy coat genomic DNA were used to detect RB1 mosaicism. Results: A total of 136 consecutive patients with retinoblastoma (median age at diagnosis, 1.0 year [IQR, 0.4-1.7 years]; 74 [54.4%] female; 67 with bilateral disease and 69 with unilateral disease) who underwent testing with the MSK-ACCESS assay were included. RB1 mosaicism was identified in buffy coat DNA from 20 patients (14.7%), with consistent results detected in all 11 participants tested concurrently by the MSK-IMPACT (Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets) germline assay. Four participants with RB1 mosaicism previously tested negative for germline RB1 variants by external laboratories. Compared with heterozygous participants, participants with RB1 mosaicism had a lower risk of developing bilateral disease (91.7% vs 55.0%, respectively; difference, 36.7% [95% CI, 13.8%-59.6%]; P =.002). In cfDNA, the mosaicism variant was detected both before and after treatment, with variant allele fraction initially decreasing after treatment but then stabilizing at levels consistent with mosaicism, despite the absence of clinical disease. Conclusions and Relevance: The accurate detection and quantification of RB1 mosaicism are crucial. RB1 mosaicism should be considered when RB1 variants persist in cfDNA after treatment without evidence of disease; failure to do so may lead to false-positive results and overtreatment in patients with RB1 mosaicism. Identifying RB1 mosaicism may improve patient counseling, inform treatment decisions, and enhance surveillance efforts. © 2025 Gao C et al.
Journal Title: JAMA Ophthalmology
Volume: 143
Issue: 7
ISSN: 2168-6165
Publisher: American Medical Association  
Publication status: Published
Date Published: 2025-07-01
Online Publication Date: 2025-05-08
Start Page: 562
End Page: 568
Language: English
DOI: 10.1001/jamaophthalmol.2025.1079
PUBMED: 40338593
PROVIDER: scopus
PMCID: PMC12062978
DOI/URL:
Notes: Article -- MSK Cancer Center Support Grant (P30 CA008748) acknowledged in PDF -- MSK corresponding authors are Diana Mandelker and David Abramson -- Source: Scopus
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MSK Authors
  1. Ira J Dunkel
    376 Dunkel
  2. Jasmine Helen Francis
    265 Francis
  3. David H Abramson
    397 Abramson
  4. Danielle Novetsky Friedman
    114 Friedman
  5. Angela Rose Brannon
    101 Brannon
  6. Britta Weigelt
    645 Weigelt
  7. Jennifer Ann Kennedy
    19 Kennedy
  8. Diana Lauren Mandelker
    185 Mandelker
  9. Ozge Birsoy
    70 Birsoy
  10. Juber Ahamad Abdul Bari Patel
    34 Patel
  11. Anita S Bowman
    46 Bowman
  12. Elise Marguerite Fiala
    17 Fiala
  13. Kanika Suresh Arora
    28 Arora
  14. Chuan Gao
    2 Gao