Round Table Sessions

Initiated in 2015, the Round Table Discussions are a core feature of the CGC Annual Meeting. This format allows attendees to gather in a small group to discuss current practices in clinical genomics, emerging technologies, and critical concepts that affect clinical laboratory operations.

On Tuesday, August 4, CGC 2026 will feature these small breakout sessions for in-person attendees. As you register for the meeting, please select your desired topic. There is a limit of 12 people for each topic.                                         

Round Table Sessions

Round Table Sessions

Round Table Sessions

Round Table Sessions

                   

2026 Round Table Sessions include the following topics from which participants may choose during registration:

  1. Further discussion with keynote speaker Dr. Annette Kim 

    Integrating cytogenetics and molecular genetics in precision diagnostics.


  2. Further discussion with keynote speaker Dr. Philip Lupo 

    Cancer predisposition in children.


  3.  Molecular-based classification of hematologic malignancies 

    Discussion of emerging molecular classification systems, including IPSS-M, molecular subtypes of DLBCL, and cell-of-origin subtyping in follicular lymphoma.


  4. Digital cytogenetics and pathology in the era of artificial intelligence (AI) and machine learning (ML)

    Exploration of AI implementation in cytogenetic and pathology workflows and the evolving roles of laboratory professionals in AI-enabled diagnostics.


  5. Challenges and advancements in complex structural rearrangement analysis with emerging novel technologies: data interoperability and reporting

    Discussion of emerging technologies for characterizing complex rearrangements, differences in platform resolution, and strategies for standardized representation and reporting.


  6. Best practices for genomic-guided immunotherapy for cancer

    Focus on standardizing reporting of tumor mutation burden (TMB), MSI status, and neoantigen identification to support immunotherapy decision-making.


  7. Clinical utility of molecular minimal mesidual misease (MRD) monitoring for leukemia

    Discussion of MRD detection using leukemic mutations, fusion transcripts, and BCR clonality assays, and their impact on clinical management.


  8. DNA methylation for molecular subtyping

    Implementation of methylation-based tumor classification (e.g., CNS and soft tissue tumors) and emerging rapid sequencing technologies.


  9. NGS-based T-cell receptor and immunoglobulin clonality assessment

    Advances in NGS-based clonality testing, including improved sensitivity over conventional assays and expanded clinical applications.


  10. Implementation of cancer transcriptome analysis

    Integration of transcriptome profiling for cancer classification and disease-specific assays into clinical diagnostics.


  11. Navigating incidental findings in genomic testing: clinical frameworks/global guidelines and reporting

    Examination of clinical frameworks and reporting challenges for incidental findings, including key decision points and strategies for standardization.


  12. Assay validation workflow: validation specimens to pipeline implementation

    Overview of assay validation from specimen selection and bioinformatics pipeline validation to laboratory integration, training, and quality monitoring.


  1. Clinical implementation of pharmacogenomics

    Strategies for incorporating pharmacogenomic testing into clinical workflows, including interpretation, reporting, decision support, and provider education.


  1. Variant interpretation for non-coding and regulatory regions

    Approaches to evaluating non-coding and regulatory variants, including application of ACMG/AMP guidelines, in silico tools, and region-based filtering strategies.


  1. Public education and advocacy for cancer genetic testing

    Strategies to improve genetic literacy, equitable access to testing, and integration of genetic and environmental risk factors into cancer prevention and care.


  1. Enhancing clinical genomics education for trainees

    Approaches to bridging genomic innovation and clinical practice through digital tools, AI-supported learning, faculty development, and standardized competencies.