Burning Rock Biotech Ltd. · NASDAQ:BNR

Burning Rock Biotech — Q2 2021 Earnings Presentation

44 slides from Burning Rock Biotech's earnings presentation, August 2021

  1. Slide 1: Burning Rock Biotech Limited

    Burning Rock Biotech Limited BNR US Equity MSCI China index constituent since May 2021

  2. Slide 2: Disclaimer

    Disclaimer This presentation has been prepared by Burning Rock Biotech Limited (the “Company”) solely for information purpose and has not been independently verified. No representations, warranties or undertakings, express or implied, are made by the Company or any of its affiliates, advisers, or re

  3. Slide 3: Our value-building blocks

    Our value-building blocks Extending leadership of NGS-based precision oncology from late-stage patients to earlier stages, driving the next phase of growth New Business Early Detection MRD Biopharma Large market potential Asymptomatic population Early-stage oncology Global CDx partner for patients p

  4. Slide 4: Summary of recent progress

    Summary of recent progress 2022 commercialization on track • Technology foundation manuscript published on Nature Biomedical Engineering1 Early detection • Early access program ongoing (over 2,000 volunteers tested) to prepare for operational readiness • Good commercial traction, with 6 hospitals en

  5. Slide 5: Pharma collaboration – our first step of global expansion

    Pharma collaboration – our first step of global expansion Newly contracted pharma projects New, strong demand Coming off a small base, but building rapidly RMBm • New rules for CDx1 requirement from NMPA 150 • Innovative Chinese pharma going global 122 • MNCs seeking reliable global NGS CDx partners

  6. Slide 6: Product pipeline

    Product pipeline Broad portfolio with key products demonstrating globally competitive data 2022 seeing 3 new product launches Product Status Key data Multi-center case- IU population Product dev. 6-cancer early detection THUNDER: ESMO Asia presentation1 Asymptomatic control validation interventional

  7. Slide 7: Early detection

    df waes Burning Rock Dx Early detection

  8. Slide 8: Leadership in multi-cancer early detection

    Leadership in multi-cancer early detection First-in-class, high entry-barrier, multi-year effort Challenge BNR position 1 Low amount of cancer signal Proprietary chemistry and algorithm in the circulating bloodstream, much more • On par with global leader, competitive sensitivity in earlier Technolo

  9. Slide 9: Burning Rock’s early detection technology

    Burning Rock’s early detection technology Globally competitive technology and multi-cancer validation progress Competitive technology Methylation + machine learning to overcome challenges of low ctDNA abundance and TOO, leading to feasibility for multi-cancer early detection Multi-cancer validation

  10. Slide 10: Product development roadmap

    Product development roadmap 1 of 2 companies globally with high specificity (>98%) and TOO accuracy (>80%) • Proof of concept on our methylation based, machine learning aided technology platform Proof-of-concept • Results published on Nature Biomedical Engineering, “Ultrasensitive detection of circu

  11. Slide 11: Clinical programs on track

    Clinical programs on track Only company in China with 10,000-subject or larger early-detection clinical studies launched Assay Analytical Case-control Intend-to-use Population Development Validation Study Validation Study (Feasibility for registration trial) Specificity holding well in Completed 6-c

  12. Slide 12: Leadership from top-tier principal investigators key to clinical success

    Leadership from top-tier principal investigators key to clinical success Also drives increasing recognition on multi-cancer early detection among clinicians PREDICT Principal Investigator: Prof. Jia Fan • Leading site: Shanghai Zhongshan Hospital − One of the China's largest comprehensive academic h

  13. Slide 13: MRD

    df waes Burning Rock Dx MRD

  14. Slide 14: MRD product pipelines

    MRD product pipelines Tumor-agnostic and tumor-informed products under parallel development Assay and Model Analytical Clinical Validation Product Launch Development Validation (Prognosis and Surveillance) Lung cancer ongoing Completed (MEDAL study) Tumor-informed Personalized assay: brPROPHET Colon

  15. Slide 15: Therapy selection testing

    df waes Burning Rock Dx Therapy selection testing

  16. Slide 16: Leading liquid-biopsy product in China, with globally competitive performance

    Leading liquid-biopsy product in China, with globally competitive performance Demonstrated in high-impact analytical validation study SEQC2 Study Overview Liquid Biopsy Source: 16 Slides from “Establishing the analytical validity of circulating tumor DNA sequencing for precision oncology“, 5th Annua

  17. Slide 17: Accelerated transition towards in-hospital amid increasing NGS adoption

    Accelerated transition towards in-hospital amid increasing NGS adoption In-hospital volume contribution reaching above 50% in Q2 Industry-leading overall volume growth YoY -10% +25% +33% +13% +86% +40% 20,000 15,000 Therapy selection 10,000 volumes1 5,000 0 20Q1 20Q2 20Q3 20Q4 21Q1 21Q2 Central-lab

  18. Slide 18: Financials

    df waes Burning Rock Dx Financials

  19. Slide 19: In-hospital segment

    In-hospital segment Dominant market share, industry-leading growth rate, over 10,000 units during 2Q21 YoY -8% +31% +39% +20% +112% +70% 15,000 Number of testing kits 10,000 shipped to partner hospitals1 5,000 0 1Q20 2Q20 3Q20 4Q20 1Q21 2Q21 56 52 40 22 23 Number of 26 21 partner 16 14 9 29 +5 34 ho

  20. Slide 20: Central-lab segment

    Central-lab segment Subject to Covid fluctuations and LDT regulatory uncertainty in China 2018 2019 2020 1Q20 2Q20 3Q20 4Q20 1Q21 2Q21 # of ordering hospitals 263 335 312 232 284 289 294 303 300 # of ordering physicians 1,135 1,632 1,318 810 1,175 1,194 1,114 1,082 1,013 Central- lab volumes # of pa

  21. Slide 21: Low Covid cases but high impact due to ‘zero-case’ approach in China

    Low Covid cases but high impact due to ‘zero-case’ approach in China Burning Rock impacted due to our focus on leading hospitals located in major cities where clinical adoption of NGS is strong Number of cities affected1 Examples of Covid impact • School closures in Beijing, Shanghai; suspension of

  22. Slide 22: Financials

    Financials Strong volume growth but transient impact on blended ASP during transition towards in-hospital 18 19 20 2Q21 2Q21 2021 RMB millions 2019 2020 1Q20 2Q20 3Q20 4Q20 1Q21 2Q21 YoY YoY YoY YoY QoQ Guide Revenue 381.7 429.9 88% 83% 13% 67.3 107.0 123.9 131.7 106.6 127.3 19% 19% 500 Central lab

  23. Slide 23: Summary outlook and catalysts

    Summary outlook and catalysts Growth driver Catalyst Metrics Near-term • Therapy selection volume growth through in- • New hospital add backlog hospital taking share, out-growing industry • IVD kit volume • Early detection commercialization in 2022 • Product revenues Medium-term • MRD launch in 2022

  24. Slide 24: Appendix 1: Early detection

    Appendix 1 Early detection

  25. Slide 25: ESMO Asia mini-oral presentation, Nov 2020

    ESMO Asia mini-oral presentation, Nov 2020 Overview of training and validation sets Training Control Cancer LC CRC LIHC OVCA PAAD ESCA total 195 274 50 46 48 50 40 40 age, mean+/-SD 53+/-6 57+/-8 60+/-6 60+/-8 55+/-8 50+/-8 59+/-7 57+/-6 age, min/max 40/72 40/75 47/74 44/75 43/72 40/73 42/71 45/70 s

  26. Slide 26: ESMO Asia mini-oral presentation: Sensitivity

    ESMO Asia mini-oral presentation, Nov 2020 Our test detects cancers at an early stage with high specificity and high sensitivity Sensitivity Clinical Stages(# in Training / # in Validation) • The specificity was 99.5% (95%CI: 96.7-100%; training) and 98.3% (95%CI: 95.8-99.4%; validation) • The sensi

  27. Slide 27: ESMO Asia mini-oral presentation, Nov 2020

    ESMO Asia mini-oral presentation, Nov 2020 Our test detects cancers at an early stage with high specificity and high sensitivity Training Validation Training Validation 27 Source: Qiang Gao et al., LBA3 Early detection and localization of multiple cancers using a blood-based methylation assay (Elsa-

  28. Slide 28: ESMO Asia mini-oral presentation, Nov 2020

    ESMO Asia mini-oral presentation, Nov 2020 Our test predicts the tissue of origin with high accuracy • The classifier was able to distinguish different cancer tissue samples with exceptional accuracy (129/131). • 98.6% of detected cancer blood samples were assigned an organ-source in both training a

  29. Slide 29: ESMO Asia mini-oral presentation, Nov 2020

    ESMO Asia mini-oral presentation, Nov 2020 6-cancer test sensitivity by cancer type and stage Sensitivity and Specificity - Correct#/Total# (%) Cancer Group I II III IV Overall Train 10/20 (50.0) 10/14 (71.4) 4/7 (57.1) 8/9 (88.9) 32/50 (64.0) Lung Test 6/16 (37.5) 12/16 (75.0) 9/14 (64.3) 14/15 (93

  30. Slide 30: The PREDICT study (NCT04817306) Study design

    The PREDICT study (NCT04817306) Study design PREDICT is a prospective, multi-center, case-control, observational study for the detection of 9 cancer types through a cell-free DNA (cfDNA) methylation based, machine learning aided model 9 cancer types Squamous cell carcinoma of the head and neck Lung

  31. Slide 31: The PREDICT study (NCT04817306) Objectives and timeline

    The PREDICT study (NCT04817306) Objectives and timeline Objectives Primary objective: • To train and validate the sensitivity, specificity and TOO accuracy of a cfDNA methylation-based model for early detection of 9 types of cancers Key secondary objectives: • To evaluate the sensitivity, specificit

  32. Slide 32: The PREDICT study (NCT04817306)

    The PREDICT study (NCT04817306) National Oncology Conference on Standardized Diagnosis and Treatment, Beijing, 14th-16th May 2021 32

  33. Slide 33: The PRESCIENT study (NCT04822792) Study design

    The PRESCIENT study (NCT04822792) Study design PRESCIENT is a prospective, multi-center, case-control, observational study aimed to train and validate the performance of a multi-omics model in the detection of 22 cancers 22 cancer types • Lung • Hematology • Stomach • Kidney • Esophagus • Uterus N=1

  34. Slide 34: The PRESCIENT study (NCT04822792) Objectives and timeline

    The PRESCIENT study (NCT04822792) Objectives and timeline Objectives Primary objective • To train and validate the sensitivity, specificity and TOO accuracy of a cfDNA methylation-based model combined with tumor protein markers for early detection of 22 types of cancers Secondary objective • To eval

  35. Slide 35: Multi vs. single cancer early detection

    Multi vs. single cancer early detection Multiple times larger TAM China Cancer Incidence1 per 100,000 population, across all ages All cancer types 288 BR-22 254 BR-9 184 BR-6 144 Lung Breast Gastric Liver 28 Colorectal 28 Esophagus Cervix Thyroid Prostate Uterus 0 50 100 150 200 250 300 350 BR-22 co

  36. Slide 36: Multi vs. single cancer early detection in China

    Multi vs. single cancer early detection in China Significantly higher technology barrier • Established technology, typically PCR based, with readily available products o US – First FDA approved product in 2014 (first submission in 2012) Single-cancer o China – NMPA approved products (class-III, incl

  37. Slide 37: Appendix 2: Therapy Selection

    Appendix 2 Therapy Selection Product analytical performance in the FDA-led SEQC2 study

  38. Slide 38: FDA-led SEQC2 study overview

    FDA-led SEQC2 study overview SEQC2 Study Overview Liquid Biopsy Source: 38 “Establishing the analytical validity of circulating tumor DNA sequencing for precision oncology“, 5th Annual Liquid Biopsy for Precision Oncology Summit, Feb 2021

  39. Slide 39: Participating assays and study design

    Participating assays and study design 39 Source: “Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology“, Nature Biotechnology, Apr 2021

  40. Slide 40: Performance – Molecular recovery capability and coverage uniformity

    Performance – Molecular recovery capability and coverage uniformity “We evaluated coverage depth, which is considered a key variable in ctDNA sequencing. We observed substantial differences in coverage among different assays, with median unique fragment depth ranging from ~4,700-fold (BRP and ROC) t

  41. Slide 41: Performance – Sensitivity

    Performance – Sensitivity “The most sensitive assays (IDT and BRP) achieved sensitivity greater than 0.90 for variants with 0.3–0.5% VAF; however, no assays reached this mark for variants with 0.2–0.3% or 0.1– 0.2% VAF (Fig. 4a).” “The performance characteristics of the assays evaluated here were br

  42. Slide 42: Performance – Reproducibility

    Performance – Reproducibility • The reproducibility reduced in lower VAF bin (0.1-0.5%) • Cross-lab and Within-Lab reproducibility performance is mainly driven by VAF 42 Source: “Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology“, Nature Biotechnolo

  43. Slide 43: Performance – Robustness for low-input cfDNA samples

    Performance – Robustness for low-input cfDNA samples “The increasing fragment-depth afforded by 25 ng input, compared to 10 ng, resulted in substantial improvements in sensitivity, reproducibility and overall diagnostic performance for all assays, particularly for low-frequency variants (Fig. 5b-e;

  44. Slide 44: Overall analytical accuracy and specificity

    Overall analytical accuracy and specificity • The analytical accuracy was measured by Precision- Sensitivity plot (25ng LBx-Low) • The false positive rates were computed by FP/kb region. • Once different VAF threshold increases, FP rates dropped further. “To compare the accuracy of the participating

Burning Rock Biotech — Q2 2021 Earnings Presentation on 6ix