Grail, Inc. · NASDAQ:GRAL

Grail — Technical Presentation (November 2021)

13 slides from Grail's technical presentation, November 2021

  1. Slide 1: Performance of a Multi-Cancer Detection Test for Symptomatic Gynecological Cancers

    Performance of a Multi-Cancer Detection Test as a Tool for Diagnostic Resolution of Symptomatic Gynecological Cancers Presenting Author: Minetta C. Liu, MD Mayo Clinic, Rochester, MN

  2. Slide 2: Disclosure

    Disclosure ● Uncompensated Consultant: GRAIL, LLC, a subsidiary of Illumina, Inc. ● The Mayo Clinic was compensated for Dr. Liu’s institutional responsibilities for the Circulating Cell-free Genome Atlas (CCGA) study protocol oversight and advisory board activities for GRAIL, LLC, a subsidiary of Il

  3. Slide 3: Objective

    Objective • To assess the performance of a multi-cancer detection test for detection of symptomatic gynecological cancers

  4. Slide 4: Multi-Cancer Detection Test

    Multi-Cancer Detection Test Blood-based test using cell-free DNA Cancer Signal Detected Diagnostic Diagnostic work-up resolution Multi-cancer Blood drawn Test report Cancer Signal detection test and shipped generated Not Detected ordered Multi-Cancer Detection Tests can: ● Detect the presence of can

  5. Slide 5: The Circulating Cell-Free Genome Atlas Study (CCGA Study; NCT02889978)

    The Circulating Cell-Free Genome Atlas Study (CCGA Study; NCT02889978) Prospective, multicenter, case-control, observational study Study Goals Study Design Develop and validate a blood- based multi-cancer detection test analyzing plasma cell-free DNA (cfDNA) to detect cancer signals across multiple

  6. Slide 6: CCGA: Divided Into Pre-Specified Substudies

    CCGA: Divided Into 3 Pre-Specified Substudies CCGA1 CCGA2 CCGA3 Further Assay Assay Refinement and Discovery1,2 Refinement and Classifier Development3 Clinical Validation4 Targeted Methylation Further refined for use Whole Genome (identified key informative as screening tool Methylation methylation

  7. Slide 7: Study Participants

    Study Participants CCGA Substudy 2 Validation Analyzable Set N=1308 (Cancer n=703; Non-cancer n=605) Applicable Population for Current Analysis Clinically Presenting Cancer n=518 Non-cancera n=398 Population with Gynecological Cancers n=60 (cervix, ovary, uterus, vagina, vulva) aNon-cancer status co

  8. Slide 8: The Multi-Cancer Detection Test Performed with High Specificity

    The Multi-Cancer Detection Test Performed with High Specificity Participant Group Cancer Signal Not Detected/ Specificity (95% CI) Total (n/N) Non-cancer participantsa 396/398 99.5% (98.2-99.9%) False Positive Rate: 0.5% Non-cancer participants with non-malignant 15/16 93.8% (71.7-99.7%) confounding

  9. Slide 9: Sensitivity of the Multi-Cancer Detection Test Varied by Cancer and Clinical Stage

    Sensitivity of the Multi-Cancer Detection Test Varied by Cancer and Clinical Stage Cancer Sensitivity in Participants with Clinically Presenting Cancer (95%-CI; Cancer Signal Detected/Total [n/N]) Stage I Stage II Stage III Stage IV All Stages 66.4% All Clinically 27.0% 58.8% 85.1% 92.5% (62.2%, 70.

  10. Slide 10: Accuracy of Cancer Signal Origin Prediction was High

    Accuracy of Cancer Signal Origin Prediction was High Cancer Cancer Signal Origin Prediction Accuracya (95% CI; Correct Signal Origin Detected/Total [n/N]) 91.7% All Clinically Presenting Cancerb (88.3-94.3%; 300/327) 100.0% Cervix (34.2-100.0%; 2/2) 100% Ovary (75.8-100.0%; 12/12) 88.9% Uterus (56.5

  11. Slide 11: Conclusions

    Conclusions In this subgroup analysis from the pre-specified, second CCGA sub-study: The multi-cancer detection test performed with: -High specificity -High accuracy for cancer signal origin prediction Sensitivity of the test varied depending on the cancer and clinical stage -Subgroups had limited s

  12. Slide 12: Acknowledgments

    Acknowledgments • Alan H. Bryce, MD, Mayo Clinic, Phoenix, AZ • Quan Zhang, GRAIL, LLC, a subsidiary of Illumina, Inc., Menlo Park, CA • Michael V. Seiden, MD, PhD, US Oncology Research, The Woodlands, TX • Jingjing Gao, PhD, GRAIL, LLC, a subsidiary of Illumina, Inc., Menlo Park, CA • David D. Thie

  13. Slide 13: References

    References • Klein E, et al. J Clin Oncol. 2018;36(15) suppl. DOI: 10.1200/JCO.2018.36.15_suppl.12021. • Razavi P, et al. Poster presented at: American Society for Clinical Oncology 2017 Annual Meeting; June 2-7, 2017; Chicago, IL. Abstract 11526. • Liu MC, et al. Ann Oncol. 2020;31(6):745-759. DOI:

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