Foghorn Therapeutics Inc. · NASDAQ:FHTX

Foghorn Therapeutics — Investor Presentation (July 2021)

47 slides from Foghorn Therapeutics's investor presentation, Jul 14, 2021

  1. Slide 1: Targeting the Chromatin Regulatory System

    Targeting the Chromatin Regulatory System Broadening the Impact of Precision Medicines for Oncology and Other Diseases July 2021

  2. Slide 2: Disclaimer, Confidentiality, and Forward-Looking Statements

    Disclaimer, Confidentiality, and Forward-Looking StatementsThis presentation contains forward-looking statements. All statements other than statements of historical facts contained in this presentation are forward-looking statements. In some cases, you can identify forward-looking statements by term

  3. Slide 3: The Chromatin Regulatory System: The Next Wave of Cancer Therapies

    The Chromatin Regulatory System: The Next Wave of Cancer Therapies 3 Cytotoxics Targeted Antibodies IO / Cell Therapy Medicines targeting breakdowns in the chromatin regulatory system Cancer is one of the leading causes of death worldwide 1950s – 1960s Kinases 1990s 2000s 2010s The Future

  4. Slide 4: Dysregulation of the Chromatin Regulatory System Implicated in up to 50% of All Cancers

    Dysregulation of the Chromatin Regulatory System Has Been Implicated in up to 50% of All Cancers 4 Significant Market Opportunity 2.5M People 50% of All Cancers Based on exome sequencing, the chromatin regulatory system is implicated in ~50% of all cancers $400+ billion 2030 global oncology market o

  5. Slide 5: Our Gene Traffic Control Platform Makes It Possible to Understand and Drug Genetic Dependencies

    Our Gene Traffic Control Platform Makes It Possible to Understand and Drug Genetic Dependencies within the Chromatin Regulatory System 5 Integrated, Scalable, Efficient – Repeatable Paradigm Target Identification & Validation Production of Chromatin Regulatory System Components at Scale & Proprietar

  6. Slide 6: Production of Chromatin Regulatory System Components

    Production of Chromatin Regulatory System Components Platform is Powered by Ability to Produce Components at Scale Drives Drug Discovery Pipeline with Cutting Edge Technology Surface Mapping Assembly HTS Biophysics/ SPR Affinity Screening and Validation Characterize TF/BAF Binding Sites Synthesize s

  7. Slide 7: Foghorn Pursuing >8 Targeted Protein Degraders

    Foghorn Pursuing >8 Targeted Protein Degraders Heterobifunctional Degrader Platform Bioinformatics • Optimal E3 ligase target pairing • Proteomics Chemical Toolbox Screening and Characterization Structural and Computational Approaches to Degrader Design Optimization of Degrader Drug Properties • Pro

  8. Slide 8: Precision Oncology Pipeline: Breadth and Depth

    Program / Target Modality Discovery IND-enabling Phase 1 Phase 2 Phase 3 Global Rights FHD-286 (BRG1 / BRM) Enzyme inhibitor FHD-609 (BRD9) Protein degrader Selective BRM I) Enzyme inhibitor II) Protein degrader Selective ARID1B Protein degrader Synthetic Lethal Targets (multiple) I) Enzyme inhibito

  9. Slide 9: The Chromatin Regulatory System Orchestrates Gene Expression

    The Chromatin Regulatory System Orchestrates Gene Expression

  10. Slide 10: The Chromatin Regulatory System Orchestrates Gene Expression

    Normal gene expression The Chromatin Regulatory System Orchestrates Gene Expression 10 Two Major Components Work in Concert - Chromatin Remodeling Complexes and Transcription Factors Work together to orchestrate gene expression TF’s guide chromatin remodeling complexes to the right locations Once ch

  11. Slide 11: Breakdowns in the Chromatin Regulatory System Lead to Disease

    Breakdowns in the Chromatin Regulatory System Lead to Disease 11 Mutations or overexpression in chromatin remodeling complexes result in abnormal gene expression Mutated or overexpressed TF hijacks chromatin remodeling complex to wrong location DISEASE DISEASE

  12. Slide 12: Chromatin Regulatory System – Abundance of Targets

    Chromatin Regulatory System – Abundance of Targets 12 28 Chromatin Remodeling Complexes and >1,000 TFs Estimate >100 Transcription Factors Associated with just the BAF Complex BAF Complex and Associated Transcription Factors + BAF Complex Subunits Mutated and Dysregulated in Cancer

  13. Slide 13: Mutations Lead to Disease Specific Genetic Dependencies

    Mutations Lead to Disease Specific Genetic Dependencies on the Chromatin Regulatory System 13 Transcription Factor Mutations / Overexpression Chromatin Remodeling Complexes Mutations / Overexpression Mutations that Impinge on the Chromatin Regulatory System Novel Targets / Dependencies Targeted Prot

  14. Slide 14: FHD-286: Clinical Entry Point - AML and Uveal Melanoma

    FHD-286: Clinical Entry Point - AML and Uveal Melanoma FHD-286 is a Potent, Selective, Allosteric, Small Molecule Inhibitor of the BRG1 and BRM subunits of the BAF complex

  15. Slide 15: FHD-286 Targets Abnormal Dependencies on BAF in Cancer

    FHD-286 Targets Abnormal Dependencies on BAF in Cancer • BRM/BRG1 is the engine (ATPase) of the BAF chromatin remodeling complex • BRG1 & BRM are highly similar proteins BRG and BRM Subunits BRMBRG1 Target / Approach • BRG1/BRM ATPase • Small molecule, allosteric, oral enzymatic inhibitor Indication

  16. Slide 16: AML & Dependency on BRG1 / Lineage Dependent TF Interactions

    AML & Dependency on BRG1 / Lineage Dependent TF Interactions Disease State Treatment with FHD-286 Loss of blast phenotype / Apoptosis Differentiation AML blasts stuck in BAF / TF dependent proliferative phase HSC Cancerous blast cells rely on BRG1 containing BAF / TF activity BAF – TF Activity BAF –

  17. Slide 17: AML Dependent on BRG1 / Lineage TF Interaction

    AML Dependent on BRG1 / Lineage TF Interaction 17 Subtype Sample ID TF #1 SPI1 (PU.1) TF #3 TF #4 SPI1 (PU.1) / BAF Dependency SPI1 ChIPseq TF Association with AML by FAB Classification: 70% BRG1 Inhibition Leads to Loss of SPI1 (PU.1) Occupancy on Chromatin

  18. Slide 18: FHD-286 Shows Broad Efficacy Across AML Patient Derived Samples

    FHD-286 Shows Broad Efficacy Across AML Patient Derived Samples Notable Patient ID Deep Response Pathology Review Disease Status 1690AML1 Y AML Secondary 1695AML1 Y AML/MDS Secondary 1696AML1 Y AML Secondary 1701AML1 Y AML Secondary 1893AML1 Y AML R/R 1899AML1 Y AML R/R 1990pAML1 Y AML R/R 1991pAML1

  19. Slide 19: FHD-286 Shows Effect Across a Range of Mutations in AML Samples

    FHD-286 Shows Effect Across a Range of Mutations in AML Patient-Derived Samples IC 50 (n M ) Patient Samples DNMT3A FLT3 IDH1 IDH2 KIT NF1 NPM1 NRAS RUNX1 TET2 TP53

  20. Slide 20: Dose-Dependent Tumor Growth Inhibition with FHD-286 in AML CDX Models

    Dose-Dependent Tumor Growth Inhibition Observed with FHD-286 Treatment in AML CDX Models 20 Tumor Volume Body Weight 0 7 14 21 0 250 500 750 1000 1250 Days Post Treatment Tu m or V ol um e (m m 3 ) 0 7 14 21 0 800 1600 2400 3200 Days Post Treatment Tu m or V ol um e (m m 3 ) 0 7 14 21 80 90 100 110

  21. Slide 21: Tumor Growth Inhibition with FHD-286 in a Disseminated AML Model

    Tumor Growth Inhibition with FHD-286 Treatment Observed by Bioluminescence Imaging in a Disseminated AML model FHD-286 1.5 mg/kg, BID (5on / 8off) x3 Sorafenib 15 mg/kg, QDx14 Vehicle FHD-286 1.5 mg/kg QDx28

  22. Slide 22: Therapeutic Rationale for Uveal Melanoma

    Therapeutic Rationale for Uveal Melanoma: Dependency on Overexpression of the MITF / SOX10 Transcription Factors and the BAF Complex 22 Inhibiting BRG1/BRM to Shut Down the Abnormal TF Interaction with the BAF Complex SOX10 MITF MITF ChIPseq SOX10 ChIPseq Biology Over 85% of uveal melanoma cancers h

  23. Slide 23: FHD-286 Dose-Dependent Tumor Regression in Uveal Melanoma CDX Models

    FHD-286 was Associated with Dose-Dependent Tumor Regression in Uveal Melanoma CDX Models at Tolerated Doses 0 7 14 21 28 0 300 600 900 1200 Days Post Treatment Tu m or V ol um e (m m 3 ) Tumor Volume 0 7 14 21 28 80 90 100 110 120 Days Post Treatment Bo dy W ei gh t C ha ng e (% ) Body Weight 0 5 10

  24. Slide 24: FHD-286 Clinical Development Plan

    FHD-286 Clinical Development Plan Two Parallel Phase 1 Studies Activated Clinical data as early as Q4 2021 Trial Designs • Single patient accelerated titration (n=1) • Convert to 3+3 once relevant PK/PD, safety or clinical activity observed • Retrospective biomarker analysis to further evaluate safe

  25. Slide 25: FHD-609: Clinical Entry Point – Synovial Sarcoma

    FHD-609: Clinical Entry Point – Synovial Sarcoma FHD-609 is a Selective, Potent, Protein Degrader of the BRD9 component of the BAF complex

  26. Slide 26: BRD9 is Required for the Survival of Synovial Sarcoma Cells

    BRD9 is required for the survival of synovial sarcoma cells FHD-609 Targets and Degrades the BRD9 subunit of BAF which is Required for Synovial Sarcoma Cells to Survive Selective, Potent BRD9 Targeted Protein Degrader SS18-SSX1 / SSX2 / SSX4 mutated subunit Target / Approach • BRD9 • Intravenous Pro

  27. Slide 27: Robust in vivo Activity in Synovial Sarcoma Model and BRD9 Degradation

    Robust in vivo Activity Observed in Synovial Sarcoma Model and BRD9 Degradation Associated with FHD-609 Treatment Weekly Dosing of FHD-609 Achieved Sustained BRD9 Degradation SY01 Synovial Sarcoma CDX Model • Mutation: SS18-SSX2 • Inhibited tumor growth • Dose dependent BRD9 degradation correlated w

  28. Slide 28: Superior Tumor Growth Inhibition of FHD-609 in a Synovial Sarcoma Model

    ASKA CDX Model Superior Tumor Growth Inhibition of FHD-609 in a Synovial Sarcoma Model as Compared to Ifosfamide and Pazopanib Tumor Volume Body Weight • Mutation: SS18-SSX1 • Superior tumor growth inhibition compared to ifosfamide and pazopanib • Complete suppression observed over 30 days at 2 mg/k

  29. Slide 29: Superior Tumor Growth Inhibition of FHD-609 in a Synovial Sarcoma Model

    ASKA CDX Model Superior Tumor Growth Inhibition of FHD-609 in a Synovial Sarcoma Model as Compared to Ifosfamide and Pazopanib 29 0 10 20 30 40 0 700 1400 2100 2800 Days Post Treatment Tu m or V ol um e (m m 3 ) 0 7 14 21 28 80 90 100 110 120 Days Post Treatment % B od y W ei gh t C ha ng e Tumor Vo

  30. Slide 30: FHD-609 Clinical Development Plan

    FHD-609 Clinical Development Plan Metastatic Synovial Sarcoma Synovial Sarcoma expansion cohorts Synovial Sarcoma FIH Phase 1 Potential for entry into definitive efficacy trials in synovial sarcoma CLINICAL PLAN Clinical data as early as H1 2022 SMARCB-1 deleted tumors and potentially other indicati

  31. Slide 31: Selective BRM Modulators for BRG1 Mutated Cancers

    Selective BRM Modulators for BRG1 Mutated Cancers Enzymatic Inhibitor and Protein Degrader Programs

  32. Slide 32: BRG1 Mutations Create a Genetic Dependency on BRM

    BRG1 Mutations Create a Genetic Dependency on BRM Selective BRM Modulators Overview BRM BRG1 Target / Approach • BRM • Enzymatic inhibitor • Targeted protein degrader Indication • BRG1 mutated cancers (e.g., NSCLC), 30+ cancers with BRG1 mutations Mutation / Aberration • BRG1 Stage • Pre-clinical Ne

  33. Slide 33: BRG1 Mutated in ~5% of All Tumors

    BRG1 Mutated in ~5% of All Tumors Broad Addressable Patient Population BRG1 mutated across range of tumors Accounts for ~5% of all tumors BRG1 mutated in up to 10% of NSCLC tumors, minimal overlap with other mutations

  34. Slide 34: BRM Selective Inhibitor In vivo Efficacy

    BRM Selective Inhibitor In vivo Efficacy Demonstrates PK/PD and In vivo Efficacy in a BRG1 Mutant Lung CDX Model BRG1 cellular IC50 BRM cellular IC50 A549-BRG1 Mutant NSCLC Model Body Weight Plasma Exposure Vehicle Control (BID) Cisplatin 4 mg/kg (IP) FHT-BRMi 15 mg/kg (BID) FHT-BRMi 30 mg/kg (BID)

  35. Slide 35: Enzymatic selectivity approaching 200x achieved

    Enzymatic selectivity approaching 200x achieved 35Company Confidential & Proprietary Information

  36. Slide 36: Advancing BRM Selective Degraders Achieving Complete BRM Degradation

    Advancing BRM Selective Degraders Achieving Complete BRM Degradation Degraders cause time- and dose-dependent BRM degradation, antiproliferative effects in A549 BRG1 mutant NSCLC lung model 0.01 0.1 1 10 100 -50 0 50 100 150 FHX-NSXLX Conc (uM) % in hi bi tio n F T-BRMd BRM/BRG1 HiBit Data A549 Ten-

  37. Slide 37: Selective ARID1B Protein Degrader for ARID1A Mutated Cancers

    Selective ARID1B Protein Degrader for ARID1A Mutated Cancers

  38. Slide 38: ARID1A – Most Mutated Subunit in BAF Complex – Creates Dependency on ARID1B

    ARID1A – Most Mutated Subunit in BAF Complex – Creates Dependency on ARID1B 38 Selective ARID1B Protein Degrader Overview ARID1A ARID1B Target / Approach • ARID1B • Targeted Protein Degrader Indication • ARID1A mutated cancers Mutation / Aberration • ARID1A mutations (e.g., ovarian, endometrial, col

  39. Slide 39: Targeting ARID1A Mutated Cancers: ARID1B Protein Degrader

    Targeting ARID1A Mutated Cancers: ARID1B Protein Degrader Advantaged by Gene Traffic Control Platform and Protein Degrader Capabilities Gene Traffic Control Platform Protein Degrader Capabilities • Platform produces BAF complexes and subcomplexes containing either ARID1A or ARID1B at scale • Enables

  40. Slide 40: Novel Approach to Targeting Transcription Factors

    Novel Approach to Targeting Transcription Factors Disrupting Transcription Factor – Chromatin Remodeling Complex Interactions

  41. Slide 41: A New Approach to Drugging Transcription Factors

    A New Approach to Drugging Transcription Factors Enabled by Proprietary Ability to Purify and Synthesize Chromatin Regulatory System Components 41 • Highly involved in gene expression • Implicated in range of cancers and other diseases TFs are compelling drug targets… • Featureless surface: no drugg

  42. Slide 42: Transcription Factor-Chromatin Remodeling Complex Interactions

    Transcription Factor-Chromatin Remodeling Complex Interactions 42 Unique Insights in Where and How Transcription Factors Bind TF #2TF #1 TF #3 Transcription Factors (TF): TF #4 0.01 0.1 1 10 100 1000 0 100 200 300 400 SPI1 (nM) RU KD = 21 nM 0.1 1 10 100 1000 10000 0 50 100 150 200 250 MYOD1 (nM) RU

  43. Slide 43: Merck Collaboration and Scalable Transcription Factor Approach

    • Merck collaboration to drug single specified transcription factor target • $425 million in up-front, research, development and sales-based milestones • Up to low double-digit royalties on product sales Highly Scalable Approach and Significant Unmet Medical Need 43 Potential to Drug > 100 TFs Assoc

  44. Slide 44: Investment Highlights

    Investment Highlights LARGE MARKET POTENTIAL  Biology implicated in up to 50% of cancer potentially impacting ~2.5 million patients  Potential applications beyond oncology in diseases including virology, autoimmune disease and neurology 44 WELL FUNDED MEANINGFUL UPCOMING MILESTONES  Phase I FHD-2

  45. Slide 45: Appendix

    FCGHORN THERAPEUTICS Appendix

  46. Slide 46: Proven Leadership Team

    Carl Decicco, Ph.D., CSO Proven Leadership Team 46 Steve Bellon, Ph.D., SVP, Drug DiscoveryAdrian Gottschalk, President & CEO Carlos Costa, SVP, HR Sam Agresta, M.D., M.P.H., CMO Jacqueline Cinicola, VP Regulatory Affairs Murphy Hentemann, Ph.D., VP Program Leadership Chong-Hui Gu, VP, CMC and QA Ry

  47. Slide 47: Experienced Leadership Team with Industry Leading Advisors and Investors

    Charles Sawyers, M.D. MSKCC, HHMI – SAB Chair Gerald Crabtree, M.D. Stanford, HHMI; Founder Faheem Hasnain Gossamer Bio, Chair of Mirati David Schenkein, M.D. General Partner, GV Craig Peterson, Ph.D. Professor UMass Medical School Tony Kouzarides, Ph.D. Gurdon Institute – University of Cambridge Do

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