Genocea Biosciences Inc · OTC:GNCAQ

Genocea Biosciences — Q3 2015 Earnings Presentation

23 slides from Genocea Biosciences's earnings presentation, Nov 5, 2015

  1. Slide 1: Q3 2015 Earnings Call

    Q3 2015 Earnings Call November 5, 2015 1 Creating and advancing life- changing vaccines and immunotherapies Exhibit 99.2

  2. Slide 2: Safe Harbor Statement

    This presentation contains “forward-looking” statements that are within the meaning of federal securities laws and are based on our management’s beliefs and assumptions and on information currently available to management. Forward-looking statements include information concerning our possible or ass

  3. Slide 3: Agenda

    • GEN-003 Update • GEN-004 Update • ATLASTM Immuno-Oncology Strategy – Dana-Farber collaboration – Memorial Sloan Kettering collaboration – Epstein-Barr Virus program • Q3 2015 Financial Summary 3 Agenda

  4. Slide 4: GEN-003 Update

    GEN-003 Update 4

  5. Slide 5: 6-Month Phase 2 Efficacy Data Strengthens GEN-003 Value Proposition

    • Improved impact on viral activity vs. Phase 1/2a • Durable clinical efficacy demonstrated across potential Phase 3 endpoints • Clear path to FDA end of Phase 2 meeting in Q4 2016 5 6-Month Phase 2 Efficacy Data Strengthens GEN-003 Value Proposition for Treatment of Genital Herpes

  6. Slide 6: Three Significant Catalysts in Coming Quarters

    6 Three Significant Catalysts in Coming Quarters Q1 2016 Ph 2 – 12 Month Data Q4 2016 FDA End of Phase 2 Q2 2016 Ph 2b – Bridging • Potential to strengthen EoP2 package with confirmation of efficacy of Phase 3 material • Confirm Phase 3 trial design • Upside to value proposition if efficacy durable

  7. Slide 7: Potential Advantages Over Oral Anti-Virals

    7 Potential Blockbuster Candidate with Phase 2 Efficacy Data vs. episodic treatment (~2/3 treated patients) • Reduce outbreaks • Reduce shedding to lower risk of transmission vs. chronic suppressive treatment (~1/3 treated patients) • Durable efficacy via novel mechanism • Orals reserved as rescue d

  8. Slide 8: GEN-004 Update

    GEN-004 Update 8

  9. Slide 9: GEN-004 Phase 2a Challenge Study Results

    • Consistent reductions versus placebo in colonization rate and density but no statistical significance • Path to further development may require investigation of dose, adjuvant or trial population • Development suspended pending further review of data and expert consultation 9 GEN-004 Phase 2a Chal

  10. Slide 10: ATLAS: Enabling New Immuno-oncology Therapies

    ATLASTM: Enabling New Immuno-oncology Therapies 10

  11. Slide 11: Immuno-Oncology Transforming Cancer Treatment; Major Unmet Needs Remain

    • New therapies unleash T cells, but poor understanding of what T cells are targeting for efficacy • Breakthrough treatment advances, but with limitations: – Still not effective for many patients – Early signals of activity not always reliable – Significant toxicity • Potential targets of T cell res

  12. Slide 12: Pursuing Immuno-Oncology Applications for ATLAS

    • Finding the right T cell antigens may matter in cancer and infectious disease • GEN-003 efficacy reflects the power of the right T cell antigen • 2014 Dana-Farber collaboration established to apply ATLAS to cancer 12 Pursuing Immuno-Oncology Applications for ATLAS, a Natural Extension of Infectiou

  13. Slide 13: Predicting T cell Antigens is Fraught with Challenges

    • Neither immunogenicity nor immunodominance predict protective immunity1 • T cell antigens are only those peptides that T cells recognize and to which they strongly respond 13 Predicting T cell Antigens is Fraught with Challenges 1 Gilchuk, Joyce; Current Opinion in Immunology, June 2015 ATLAS solu

  14. Slide 14: ATLAS Enables Genocea to Identify Clinically Relevant T cell Antigens

    ATLAS Enables Genocea to Identify Clinically Relevant T cell Antigens 14 RNANeon / Gritstone DNA Foundation Medicine Antigen Processing Antigen Presentation via MHC Protein Immatics / Immunocore DNA ATLAS Identifies Antigens of Optimal T cell Responses Tools Predicting Antigens Tools Predicting TCRs

  15. Slide 15: ATLAS Enables Smarter T cell Antigen Selection

    ATLAS Finds antigens to which T cells are actually responding Distinguishes clinically relevant from immuno- dominant antigens Works for CD4+ and CD8+ T cells Covers all HLA supertypes1 High throughput and comprehensive 15 ATLAS Enables Smarter T cell Antigen Selection Predictive Tools i t r t r si

  16. Slide 16: Dana-Farber Collaboration Shows ATLAS Can Find Signatures of Checkpoint Inhibitor Response

    • Responders to therapy are different to non- responders – Greater breadth of T cell responses – Different characteristics of responses • ‘Decoy’ responses identified with no link to improved outcomes 16 Dana-Farber Collaboration Shows ATLAS Can Find Signatures of Checkpoint Inhibitor T cell Respons

  17. Slide 17: Partnering with World Leaders to Expand T cell Cancer Antigen Discovery

    17 Partnering with World Leaders to Expand T cell Cancer Antigen Discovery Efforts Center Collaborators Disease Antigens Dana- Farber Cancer Institute Stephen Hodi, MD Melanoma Tumor- associated antigens Memorial Sloan Kettering Cancer Center Tim Chan, MD, PhD Jedd Wolchok, MD, PhD Melanoma NSCLC Ne

  18. Slide 18: Therapeutic Development Strategy

    • Genocea well positioned – Picking the right T cell antigens likely central to vaccine efficacy – ATLAS may be the only platform able to identify clinically relevant T cell antigens, and has been proven to work – Significant vaccine discovery and development expertise – Flexibility to work with any

  19. Slide 19: Epstein-Barr Virus Immunotherapy Program Underway

    • Therapeutic potential against cancers (and other diseases) with unmet needs: – Post-transplant lymphoproliferative disease – non-Hodgkin’s lymphoma – Nasopharyngeal carcinoma – Gastric carcinoma • Highly suited to ATLAS – T cells responses are crucial to protection – A large virus, making antigen

  20. Slide 20: ATLAS Enables Multiple Paths to Value Creation

    • Personalized vaccines may enable expedited path to clinic • Response signatures may enable optimization of approved and in-development immunotherapies: – Patient prioritization / de-prioritization – Next generation targets and refinements • EBV: targeting disease with high unmet need and a path to

  21. Slide 21: Q3 2015 Financial Summary

    Q3 2015 Financial Summary 21

  22. Slide 22: Q3 2015 Financial Summary

    • Cash, cash equivalents and investments $112.5m sufficient to fund operating expenses and capex requirements into second half of 2017 – Oncology program fully funded • Q3 2015 vs. Q3 2014 – R&D expenses $6.1m (unchanged) – G&A expenses $3.6m ($0.8m increase) – Net loss $9.8m (0.6m increase) 22 Q3 2

  23. Slide 23: Closing Remarks Q&A

    Closing Remarks Q&A 23

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