ArticleJournal of pathology informatics2016
Validation of break-apart and fusion MYC probes using a digital fluorescence in situ hybridization capture and imaging system.
Article in Journal of pathology informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed, 18 citations in OpenAlex.
- Review of In Situ Hybridization (ISH) Stain Images Using Computational Techniques.Diagnostics (Basel, Switzerland) · 2024Review
- Validation of MYC and BCL6 rapid break apart digital fluorescence in situ hybridization assays for clinical use.International journal of clinical and experimental pathology · 2023Article
- Optimized workflow for digitalized FISH analysis in pathology.Diagnostic pathology · 2021Article
- One-fits-all pretreatment protocol facilitating Fluorescence In Situ Hybridization on formalin-fixed paraffin-embedded, fresh frozen and cytological slides.Molecular cytogenetics · 2019Article
- Characterizing Atypical BCL6 Signal Patterns Detected by Digital Fluorescence In Situ Hybridization (FISH) Analysis.Annals of laboratory medicine · 2018Article
- c-Myc regulates the CDK1/cyclin B1 dependent‑G2/M cell cycle progression by histone H4 acetylation in Raji cells.International journal of molecular medicine · 2018Article
- New developments in the pathology of malignant lymphoma: a review of the literature published from June-August 2016.Journal of hematopathology · 2016Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionDetection of MYC translocations using fluorescence in situ hybridization (FISH) is important in the evaluation of lymphomas, in particular, Burkitt lymphoma and diffuse large B-cell lymphoma. Our aim was to validate a digital FISH capture and imaging system for the detection of MYC 8q24 translocations using LSI-MYC (a break-apart probe) and MYC 8;14 translocation using IGH-MYC (a fusion probe). MATERIALS AND
methodsLSI-MYC probe was evaluated using tissue sections from 35 patients. IGH-MYC probe was evaluated using tissue sections from forty patients. Sections were processed for FISH and analyzed using traditional methods. FISH slides were then analyzed using the GenASIs capture and analysis system.
resultsResults for LSI-MYC had a high degree of correlation between traditional method of FISH analysis and digital FISH analysis. Results for IGH-MYC had a 100% concordance between traditional method of FISH analysis and digital FISH analysis.
conclusionAnnotated whole slide images of H and E and FISH sections can be digitally aligned, so that areas of tumor within a section can be matched and evaluated with a greater degree of accuracy. Images can be archived permanently, providing a means for examining the results retrospectively. Digital FISH imaging of the MYC translocations provides a better diagnostic tool compared to traditional methods for evaluating lymphomas.
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Registered trials
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