FHTX 8-K
Foghorn Therapeutics Inc. (FHTX)
8-K
2025-03-24
For: 2025-03-24
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April 11, 2026
UNITED STATES
SECURITIES AND EXCHANGE COMMISSION
Washington, D.C. 20549
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FORM 8-K
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CURRENT REPORT
Pursuant to Section 13 or 15(d)
of the Securities Exchange Act of 1934
Date of Report (Date of earliest event reported): March 24, 2025
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(Exact name of registrant as specified in its charter)
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| (State or other jurisdiction of incorporation) | (Commission File Number) | (IRS Employer Identification No.) | ||||||||||||
| (Address of principal executive offices) | (Zip Code) | ||||||||||||||||||||||
(Registrant’s telephone number, including area code): (617 ) 586-3100
Not Applicable
(Former name or former address, if changed since last report)
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Check the appropriate box below if the Form 8-K filing is intended to simultaneously satisfy the filing obligation of the registrant under any of the following provisions:
| Written communications pursuant to Rule 425 under the Securities Act (17 CFR 230.425) | |||||
| Soliciting material pursuant to Rule 14a-12 under the Exchange Act (17 CFR 240.14a-12) | |||||
| Pre-commencement communications pursuant to Rule 14d-2(b) under the Exchange Act (17 CFR 240.14d-2(b)) | |||||
Pre-commencement communications pursuant to Rule 13e-4(c) under the Exchange Act (17 CFR 240.13e-4(c)) | |||||
Securities registered pursuant to Section 12(b) of the Act:
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Indicate by check mark whether the registrant is an emerging growth company as defined in Rule 405 of the Securities Act of 1933 (§230.405 of this chapter) or Rule 12b-2 of the Securities Exchange Act of 1934 (§240.12b-2 of this chapter).
Emerging growth company ☒
If an emerging growth company, indicate by check mark if the registrant has elected not to use the extended transition period for complying with any new or revised financial accounting standards provided pursuant to Section 13(a) of the Exchange Act. ☐
Item 7.01 Regulation FD Disclosure.
Foghorn Therapeutics Inc. (the “Company”) is furnishing as Exhibit 99.1 to this Current Report on Form 8-K a presentation dated March 2025, which the Company intends to use in meetings with or presentations to investors.
The information in this Item 7.01 (including Exhibits 99.1) is being furnished and shall not be deemed “filed” for purposes of Section 18 of the Securities Exchange Act of 1934, as amended (the “Exchange Act”), or otherwise subject to the liabilities of that section, nor shall it be deemed incorporated by reference into any filing by the Company under the Securities Act of 1933, as amended, or the Exchange Act, except as expressly set forth by specific reference in such filing.
Item 9.01 Financial Statements and Exhibits.
(d) Exhibits
| Exhibit No. | Description | ||||
SIGNATURES
Pursuant to the requirements of the Securities Exchange Act of 1934, the registrant has duly caused this report to be signed on its behalf by the undersigned hereunto duly authorized.
FOGHORN THERAPEUTICS INC. | |||||||||||
| By: | /s/ Kristian Humer | ||||||||||
| Kristian Humer | |||||||||||
| Chief Financial Officer | |||||||||||
March 2025 Unique biology Precision therapeutics Broad impact NASDAQ LISTED FHTX Exhibit 99.1
| Forward Looking Statements 2 This presentation contains forward-looking statements that are based on management's beliefs and assumptions and on information currently available to management. 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 terms such as “could,” “may,” “might,” “will,” “likely,” “anticipates,” “intends,” “plans,” “seeks,” “believes,” “estimates,” “expects,” “continues,” “projects” or the negative of these terms or other similar expressions, although not all forward-looking statements contain these words. Forward-looking statements include, but are not limited to, statements concerning: the potential outcomes from our collaboration agreement with Lilly; the initiation, timing, progress and results of our research and development programs and pre-clinical studies and clinical trials, including with respect to our Phase 1 dose escalation trial of FHD-909 with Lilly; our ability to advance product candidates that we may develop and to successfully complete preclinical and clinical studies; our ability to leverage our initial programs to develop additional product candidates using our Gene Traffic Control Platform®; the impact of exogeneous factors, including macroeconomic and geopolitical circumstances, on our and our collaborators’ business operations, including our research and development programs and pre-clinical studies; developments related to our competitors and our industry; our ability to expand the target populations of our programs and the availability of patients for clinical testing; our ability to obtain regulatory approval for FHD-909 and any future product candidates from the FDA and other regulatory authorities; our ability to identify and enter into future license agreements and collaborations; our ability to continue to rely on our CDMOs and CROs for our manufacturing and research needs; regulatory developments in the United States and foreign countries; our ability to attract and retain key scientific and management personnel; the scope of protection we are able to establish, maintain and enforce for intellectual property rights covering FHD-909, our future products and our Gene Traffic Control Platform; and our use of proceeds from capital-raising transactions, estimates of our expenses, capital requirements, and needs for additional financing. You should, therefore, not rely on these forward-looking statements as representing our views as of any date subsequent to the date of this presentation. Additional important factors to be considered in connection with forward-looking statements are described in the Company's filings with the Securities and Exchange Commission, including withing the section entitled "Risk Factors" in the Company's Annual Report on Form 10-K for the fiscal year ended December 31, 2024. Any forward-looking statements represent the Company’s views only as of the date of this presentation and should not be relied upon as representing its views as of any subsequent date. The Company explicitly disclaims any obligation to update any forward-looking statements. The Company’s business is subject to substantial risks and uncertainties.
| Foghorn is a Leader in Chromatin Biology, Successfully Drugging Challenging Targets 3 Multi-billion Dollar Opportunities First-in-Class and Best-in-Class Approaches Selective Target Engagement Strategic Partnership: Multiple Programs Targeting chromatin regulation, implicated in up to 50% of all tumors Unlocking selectivity of previously undruggable targets Innovating selective protein degradation with capabilities in induced proximity Leveraging a proven drug development platform with expansive potential
| Chromatin Regulatory System Orchestrates Gene Expression: Multiple Opportunities for Targets and Therapeutics 4 Chromatin – compacted form of DNA inside the nucleus of the cell Chromatin Remodeling Complexes – specialized multiprotein machines that allow access to DNA Targets: SMARCA2, ARID1B Transcription Factors – proteins that help turn specific genes "on" or "off" by working in concert with the chromatin remodeling complex to bind to DNA Targets: Multiple TFs Other Chromatin Binding Proteins involved in gene expression / function Targets: CBP, EP300 Chromatin Regulatory System genes are implicated across a wide range of cancers Leveraging synthetic lethality and lineage dependencies
| Foghorn has Achieved Selectivity Where Others Have Failed 5 Potential in up to 10% of NSCLC and 5% of all solid tumors Challenge: Industry has failed to develop a selective inhibitor Role in both solid and heme malignancies Challenge: Toxicity with dual inhibition, difficulty engineering selectivity Potential in up to 5% of all solid tumors Challenge: Industry unsuccessful in drugging Role in bladder, colorectal, breast, gastric, lung cancers Challenge: Toxicity with dual inhibition, difficulty engineering selectivity FHD-909 First selective SMARCA2 inhibitor in the clinic Selective ARID1B Degrader Potent and selective binders First to achieve selective degradation Selective EP300 Degrader Selective oral degraders with anti-tumor activity & favorable preclinical tolerability Selective CBP Degrader Selective degradation with anti-tumor activity & favorable preclinical tolerability SMARCA2 = BRM SMARCA2 CBP EP300 ARID1B
| Foghorn’s Gene Traffic Control® Platform Designed to Deliver Precision, First-in-Class Therapeutics: Integrated, Scalable, Efficient, Repeatable 6 1. Chromatin Biology • Bioinformatics • Genomics • Epigenomics 2. Assays & Biochemistry Capabilities 3. Chemistry & Drugging • Selective, small molecules (inhibitors, protein degraders, TF disruptors) • Protein degradation platform • Formulation & long-acting delivery Identify Dependencies Legend: Patents | Know How / Trade Secret “What to Drug” “How to Drug” Deep mechanistic understanding of chromatin regulatory system Biology first, small molecule modality agnostic Engineering selectivity via unique assays and protein capabilities • Protein purification, production & interrogation • High fidelity, difficult to make proteins • In silico modeling and computational chemistry “Where to Drug”
| Degrader Design Degrader Optimization Degrader Development Best-in-Class Degrader • In Vitro efficacy • Indication selection • Combinations • Resistance mechanisms • In Vivo models • PK/PD determination, modeling and dose prediction • Proprietary E3 ligase binders o ~ 15 -17 in internal library o UBR5 • Structural prediction/ docking • Well-developed toolkit • Flexibility-rigidity • Charge • Hydrophobicity • Commercial and proprietary covalent and fragment screening libraries • Target binders • Specificity / Selectivity (global proteomics) • Kinetics (Dmax/DC50) • Cooperativity (e.g. ternary complex) • Permeability • MoA characterization • Cellular and permeability assays • Oral, IV and LAI formulation for drug delivery Computational Chemistry (ML, AI, Virtual Screens) Proprietary E3 Ligase Libraries Binder DiscoveryLinker Toolkit Degrader Mechanics Exploratory Biology In Vivo Validation (Efficacy and Safety) Proprietary Formulation & Delivery Platform Platform of Proprietary Tools and Unique Know-How Enables Development of Best-in-Class Degraders 7 Platform has potential for therapeutic area expansion (e.g., immunology and inflammation)
| Foghorn: First-in-Class Precision Therapies with Potential for Multi-Billion Dollar Opportunities Across Oncology 8 Modality Program Phase 1 Enzyme Inhibitors Transcription Factor Disruptors Undisclosed Protein Degraders Partner FHD-909* (Selective SMARCA2) 3 Discovery Programs Undisclosed Partnered Undisclosed Disease SMARCA4 mutant cancers (e.g., NSCLC, bladder, endometrial, colorectal) Selective SMARCA2 SMARCA4 mutant cancers (e.g., NSCLC, bladder, endometrial, colorectal) Selective ARID1B ARID1A mutant cancers (e.g., ovarian, endometrial, colorectal) Selective CBP EP300 mutant cancers (e.g., bladder, gastric, breast, NSCLC, colorectal) Selective EP300 EP300 dependent cancers (e.g., prostate, DLBCL), CBP mutant cancers (e.g., NSCLC, bladder) Undisclosed Undisclosed Undisclosed Pre-Clinical Phase 2 / 3Discovery *LY4050784 SMARCA2 = BRM
| Advancing Multiple Programs with Near-Term Milestones Through 2026 9 April 2025 (AACR)Preclinical Combination Data FHD-909* (LY4050784) (Selective SMARCA2 Inhibitor) ConfidentialPhase 1 Dose Escalation Data 2026IND / Phase 1 InitiationSelective CBP Degrader 2026IND / Phase 1 InitiationSelective EP300 Degrader ConfidentialIND / Phase 1 InitiationSelective SMARCA2 Degrader* ConfidentialTarget Disclosure and INDLilly Target #2 2025Program UpdateSelective ARID1B Degrader * 50/50 U.S. economic split
| Lilly Collaboration Validates Foghorn Approach: Significant Upfront and Deal Economics 10 $380 Million Up-front $300 million cash $80 million in Foghorn common stock at a price of $20 per share Three Undisclosed Discovery Programs Option to participate in a percentage of the U.S. economics Tiered ex-U.S. royalties from the mid-single digit to low- double digit range $1.3 billion in potential milestones 50/50 U.S. Economics on Two Programs 50/50 U.S. economic split on SMARCA2-Selective and another undisclosed program Tiered ex-U.S. royalties starting in the low double-digit range and escalating into the twenties based on revenue levels
| Developing First-in-Class Precision Medicines Targeting Major Unmet Needs in Cancer 11 Large Market Potential Chromatin biology is implicated in up to 50% of tumors, potentially impacting ~2.5 million patients Foghorn’s current pipeline potentially addresses more than 500,000 of these patients Broad pipeline across a range of targets and small molecule modalities Major Strategic Collaboration Strategic collaboration with Lilly; $380 million upfront; 50/50 U.S. economic split on two lead programs Well- Funded $243.7 million in cash and equivalents (as of 12/31/2024) Cash runway into 2027 Shares outstanding: approximately 62.5M* Value Drivers Selective SMARCA2 Inhibitor, FHD-909, partnered with Lilly, in Phase 1 trial Advancement of preclinical assets (Selective SMARCA2 Degrader, CBP, EP300, ARID1B) towards INDs Protein degrader platform with expansion into induced proximity Leader in Unique Area of Cancer Biology Foghorn is a leader in targeting chromatin biology, which has the potential to address underlying dependencies of many genetically defined cancers Platform with initial focus in oncology, therapeutic area expansion potential *Includes common shares outstanding and pre-funded warrants as of 12/31/2024.
Selective SMARCA2 Programs For SMARCA4 Mutated Cancers • FHD-909 (LY4050784) – Selective SMARCA2 Inhibitor • Selective SMARCA2 Degrader 12
| SMARCA2: Clinical-stage FHD-909 Selective SMARCA2 Inhibitor and Preclinical Selective SMARCA2 Degrader 13 Selective SMARCA2 Inhibitor FHD-909* Selective SMARCA2 Degrader Biology Exploit the synthetic lethal relationship between SMARCA2 and mutated SMARCA4 Stage / Next Milestone Phase 1 dose escalation trial ongoing; Preclinical combination data with pembrolizumab, KRAS and chemo at AACR Advancing through late preclinical development Opportunity SMARCA4 mutated cancer including ~10% of NSCLC and up to 5% of all solid tumors Lilly Partnership 50/50 global R&D cost share | 50/50 U.S. economics | tiered ex-U.S. royalties starting in the low double-digit range and escalating into the twenties *LY4050784
| Selective SMARCA2 Inhibition: Promising Strategy to Exploit Synthetic Lethal Relationship Between SMARCA2 and Mutant SMARCA4 14 No SMARCA4 Mutations SMARCA4 Mutation SMARCA4 Mutation and SMARCA2i Cell Survival Cell Death Healthy Cells Cancer Cells SMARCA4 SMARCA2 BAF Complex BAF Complex Mutant SMARCA4 BAF Complex SMARCA2i Precision medicine targeting synthetic lethal relationships is a proven clinical approach now used in multiple cancers (e.g., PARP inhibitors) SMARCA4 SMARCA2
| SMARCA4 is Mutated in Up to 10% of NSCLC; Up to 5% of Solid Tumors 15 SMARCA4 mutated across a broad range of tumors Accounts for ~5% of solid tumors AACR GENIE via cBioPortal
| SMARCA4 Mutated in Up to 10% of NSCLC Tumors, Minimal Overlap With Other Mutations2Overall Survival for SMARCA4wt vs SMARCA4mut1 Patients With NSCLC Harboring SMARCA4 Mutations Have Significantly Worse Clinical Outcomes and Define a High Unmet Need Patient Population 16 SMARCA4 10% KRAS 29% EGFR 26% ALK 7% RET 4% MET 7% 1. Alessi JV, et al., 2021; 2. TCGA via cBioPortal O ve ra ll Su rv iv al (% ) Months NSCLC patients with SMARCA4 mutations have a poor prognosis, lower overall survival and are less responsive to immune checkpoint inhibitors Supporting references: • Gandhi, et al, 2025; DOI: 10.1016/j.jtho.2025.01.016 • Alessi, et al, 2023; DOI: 10.1016/j.jtho.2023.01.091 • Negrao, et al, 2023; DOI: 10.1158/2159-8290.Cd-22-1420 • Liu, et al, 2021; DOI: 10.1002/1878-0261.12831 • Fernando, et al, 2020; DOI: 10.1038/s41467-020-19402-8 • Schoenfeld, et al, 2020DOI: 10.1158/1078-0432.ccr-20-1825
| SMARCA4 WT SMARCA4 MUT 0.0001 0.001 0.01 0.1 1 A b s o lu te I C 50 ( μ M ) NCI-H2122 CALU6 NCI-H2172 NCI-H441 NCI-H2170 NCI-H460 NCI-H1703 NCI-H358 NCI-H2009 NCI-H1944 NCI-H1299 A549 RERFLCAI NCI-H1693 NCI-H1568 NCI-H2023 NCI-H838 SMARCA4 (WT) SMARCA4 (MUT) (SMARCA2 Only)(SMARCA2 & SMARCA4) FHD-909 Demonstrated Approximately 33-fold Selectivity Across 17 SMARCA4 Mutant and Wild-Type Cell Lines In Vivo 17 Spread in potency for wild type versus mutant cell lines indicates 33-fold selectivity observed Selectivity = 33x Median IC50 (µM) 0.0932SMARCA4 WT 0.0028SMARCA4 MUT
| FHD-909 Monotherapy Demonstrated Regression In Vivo in H2126 SMARCA4 Mutant NSCLC Model at Tolerated Doses 18 H2126 Reduction in Tumor Volume H2126 Body Weight Genetic Background: SMARCA4 W764R, TP53 E62*, STK11-/-, CDKN2A-/-, KEAP1 R272C NOTE: All doses were well tolerated. Dosing holidays were applied at the high dose, as appropriate. T u m o r v o lu m e (m m 3 ) Tu m o r V o lu m e (m m 3 )
| FHD-909 Monotherapy Demonstrated Strong In Vivo Activity Across SMARCA4 Mutant NSCLC Models at Tolerated Doses 19 NOTE: All doses were well tolerated 0 7 14 21 28 100 200 300 400 500 Days of Dosing (Dose Start Day1) Vehicle Control FHD-909, 20mg/kg, BID, PO FHD-909, 40mg/kg, BID, PO FHD-909, 60mg/kg, BID, PO A549 Model RERF-LC-AI Model H1793 Model Genetic Background: SMARCA4, Q729fs / H736Y, KRAS G12S, STK11-/-, CDKN2A-/-, KEAP1 G333C Genetic Background: SMARCA4 mut p.E1496*, TP53 p.Q104*, NF1 p.E1699* Genetic Background: SMARCA4, E514*, TP53 R209* R273H, ARID1A C884*
| FHD-909 (LY4050784) Trial Design • Restricted to SMARCA4 mutated tumors • SMARCA4 mutant status confirmed by standard NGS panel • Further enrichment for NSCLC patients as trial progresses • Tumor histology agnostic • Enrolling in US and Japan 20 Dose Escalation Dose Expansion • Arm 1: SMARCA4 mutant NSCLC • Arm 2: Other SMARCA4 mutant tumors (e.g., bladder, endometrial, colorectal) • Potential for combination arm(s) FHD-909 preclinical combination data with pembrolizumab, KRAS inhibitors and chemo to be presented at the AACR Annual Meeting, April 2025
| Selective SMARCA2 Degrader Achieved Complete SMARCA2 Degradation and Cell Growth Inhibition In Vitro 21 Degraders Caused Time- and Dose-Dependent SMARCA2 Degradation Antiproliferative Effects in A549 Mutant NSCLC Model A549 Ten-Day Proliferation AssaySMARCA2 / SMARCA4 HIBIT Data SMARCA2 SMARCA4 % D eg ra d a ti o n Concentration (uM) 0 25 50 75 100 1E-3 0.01 0.1 1 10 NOTE: Data as of Q4 2021.
Degrader Programs • Selective CBP Degrader • Selective EP300 Degrader • Selective ARID1B Degrader 22
Selective CBP Protein Degrader For EP300 Mutated Cancers 23
| CBP and EP300 Proteins – A Decades Long Challenge in Selectivity 24 CBP and EP300 Biology • CBP and EP300 are highly homologous, paralog histone acetyltransferases regulating enhancer-mediated transcription and protein stability • Dysregulation of CBP and EP300 has been implicated in multiple cancers • Dual targeting has revealed tolerability and safety issues Foghorn’s Solution... Highly Selective Degradation • Achieved selective targeting which results in improved tolerability and efficacy • Advancing two separate programs with defined dependencies and patient populations CoA TF TF TF RNA Polymerase Ac Ac CoA Ac Ac Ac CBP/ EP300 MYC Cell growth Cell survival Ac EP300 Degrader Approach Focus on EP300 Lineage Dependent Cancers CBP Degrader Approach Focus on EP300 Mutant Cancers via Synthetic Lethality
| Summary: Selective CBP Protein Degrader for EP300 Mutated Cancers 25 * Per year incidence in the U.S., EU5, Japan . Source: Clarivate DRG Mature Markets Data. • CREB binding protein (CBP) • Targeted protein degrader Target / Approach • EP300 mutated cancers (e.g., subsets of bladder, colorectal, breast, gastric and lung cancers) Initial Indication • EP300 mutated cancers Mutation / Aberration • Preclinical • IND planned for 2026 Stage / Next Milestone • Up to 10% of patients have an EP300 mutation across solid tumors representing ~ 100K addressable population New Patients Impacted / Year* • Highly selective and potent • Increased tolerability relative to non-selective compounds • Long-acting formulation targets Q2-4W dosing • Compelling combination potential Key Differentiation 10% 10% 8% 7% 6% 6% 5% 5% 3% 0% 5% 10% 15% Melanoma NSCLC Bladder Cancer Endometrial Gastric Breast Pancreatic Cancer Colorectal Cancer Commercial Opportunity SCCHN % of Patients with EP300 Mutation
| EP300mut Lung Cancer CDX (LU99) EP300mut Bladder Cancer CDX (639V) EP300mut Gastric Cancer CDX (AGS) Selective CBP Degradation Results in Significant Anti-Tumor Activity in EP300mut Solid Tumor Models 26 Fold Selectivity >1000x EP300 64 nM CBP 0.05 nM Degrader Selectivity FHT-CBPd-9 DC50 @24h 6 12 18 24 30 0 500 1,000 1,500 2,000 2,500 3,000 Vehicle FHT-CBPd - 9, 10mg/kg (QD) FHT-CBPd - 9, 3mg/kg (QD) B o d y W e ig h t C h a n g e ( % ) T u m o r V o lu m e (m m ³ + S E M )
| EP300mut (639V) Bladder CDX (Daily Dosing and Single Injection of LAI Formulation) Plasma PK and Tumor PD (CBP) Measured From Bladder CDX Efficacy • Single injection of FHT-CBPd-9 in a LAI resulted in sustained plasma exposure (PK) and CBP degradation (PD) throughout the 3-week experiment, ultimately leading to tumor regressions • No thrombocytopenia was observed through end of study 150 mg/kg, Single IM Dose (LAI) 10 mg/kg, Daily SC Dosing Long-Acting Injectable (LAI) Formulation Provides Sustained Target Coverage, Anti-Tumor Activity and Tolerability With a Single Injection 27
| Bone Marrow Staining (In Vivo) Platelet Counts Post Two Weeks of Dosing (In Vivo Mice Models) *Dual CBP/EP300 inhibition study used 3 weeks of dosing Preclinical Studies Indicate Selective CBP Degradation Did Not Show Thrombocytopenia and Spared Megakaryocytes In Vivo 28 PLT (x109cells/L) 0 500 1,000 1,500 2,000 2,500 Study Day 14 Vehicle FHT-CBPd - 9, 10mg/kg, SC, QD Dual BD inhibitor, (GNE-781), 30mg/kg, PO, BID FHT-CBPd-9 Dual CBP/EP300 Bromodomain Inhibitors Vehicle Dual BD inhibitor (CCS1477, Inobrodib), 20mg/kg, PO, QD*
Selective EP300 Protein Degrader For CBP Mutated and EP300 Dependent Cancers 29
| Summary: Selective EP300 Protein Degrader for CBP Mutant & EP300 Dependent Cancers 30 * Per year incidence in the U.S., EU5, Japan. Source: Clarivate DRG Mature Markets Data. • E1A binding protein p300 (EP300) • Targeted protein degrader Target / Approach • AR+ Prostate • Broad range of heme malignancies • Bladder, melanoma, others Indications • EP300 dependent cancers • CBP mutant cancers Mutation / Aberration • Preclinical • IND planned for 2026 Stage / Next Milestone • Over 100,000 New Patients Impacted / Year* • Deeper efficacy response with selective degrader vs non-selective molecules • Improved tolerability profile vs non-selective molecules • Patient selection biomarker for Diffuse Large B-Cell Lymphoma (DLBCL) Key Differentiation Commercial Opportunity EP300 Dependent Cancers • Hematologic malignancies • DLBCL • Multiple Myeloma • Solid Tumors • AR+ mCRPC • HR+ breast CBP Mutant Cancers 10% 10% 9% 8% 8% 8% 6% 0% 5% 10% 15% Melanoma Bladder NSCLC Endometrial Colorectal Gastric Breast % of Patients with CBP Mutation
| Anti-Tumor Activity Across Full Range of Heme Sub-Lineages (~ 70% of All Tested Cell Lines are Sensitive) EP300 Degradation Shows Anti-Proliferative Activity in Broad Range of Hematological Malignancies 31MM: Multiple Myeloma; DLBCL: Diffuse Large B-Cell Lymphoma; AML: Acute Myeloid Leukemia; BL: Burkitt’s Lymphoma; TCL: T-cell Lymphomas; T-ALL: T-cell Acute Lymphoblastic Leukemia; B-ALL: B-cell Acute Lymphoblastic Leukemia; CML: Chronic Myeloid Leukemia; HL: Hodgkin Lymphoma; MCL: Medial Collateral Ligament
| Multiple Myeloma (MM1S) CDX DLBCL (KARPAS422) CDX AR+ Prostate (VCaP) CDX EP300 Degradation Results in Significant Tumor Growth Inhibition in Multiple Myeloma, DLBCL and Prostate Models 32 B o d y W ei g h t C h an g e ( % ) 5 10 15 20 25 30 35 40 45 0 500 1,000 1,500 2,000 Vehicle FHT-EP300d - 32, SC, 50mg/kg (BID) Days After Tumor Inoculation FHT-EP300d - 32, SC, 20mg/kg (BID) FHT-EP300d - 32, SC, 10mg/kg (BID) B o d y W e ig h t C h an g e ( % ) 10 15 20 25 30 0 500 1,000 1,500 2,000 2,500 3,000 Days After Tumor Inoculation Vehicle FHT-EP300d - 53, SC, 30mg/kg (QD) FHT-EP300d - 53, SC, 10mg/kg (QD) CCS1477 (Inobrodib), PO, 20mg/kg (QD) Fold Selectivity >1000x EP300 0.7 nM CBP >1 uM Degrader Selectivity FHT-EP300d-53 DC50 @24h Fold Selectivity >40x EP300 23 nM CBP >1 uM Degrader Selectivity FHT-EP300d-32 DC50 @24h
| • Non-selective dual CBP/EP300 inhibitor shows tumor stasis, but clinical safety (i.e., thrombocytopenia) resulted in dosing holidays • Selective EP300 degrader can achieve deeper responses (complete tumor regression) with no thrombocytopenia • Selective EP300 degrader with improved therapeutic window enables sustained target coverage and improved efficacy Multiple Myeloma CDX treated w/ dEP300 - VHL Multiple Myeloma CDX treated w/ dEP300 - HL Selective EP300 Degrader Demonstrated Complete Response (Tumor Regression) in Multiple Myeloma Model 33 10 15 20 25 30 0 500 1,000 1,500 2,000 2,500 3,000 Days After Tumor Inoculation Vehicle FHT-EP300d - 53, SC, 30mg/kg (QD) FHT-EP300d - 53, SC, 10mg/kg (QD) CCS1477 (Inobrodib), PO, 20mg/kg (QD) B o d y W e ig h t C h an g e (% ) 10 15 20 25 30 0 50 100 150 200 250 300 350 400 Days After Tumor Inoculation Multiple Myeloma CDX Treated With dEP300 – VHL
| Identification of a Patient Selection Biomarker in DLBCL • Screened 28 DLBCL cell lines; ~60% are sensitive • Two-step biomarker of sensitivity: ‒ EP300 present (no high-impact mutations in EP300) and ‒ One of two other mutations • Mechanistic hypothesis being further validated In Vitro Anti-Proliferation Screen Using Selective EP300 Degrader 34
| Multiple Myeloma CDX treated w/ dEP300 - CRBN dEP300-CRBN demonstrates 32% oral bioavailability Multiple Myeloma CDX treated w/ dEP300 - CRBN Multiple Myeloma CDX treated w/ dEP300 - CRBN Oral EP300 Selective Degrader Shows Promising Efficacy at Tolerated Doses With No Thrombocytopenia 35 CCS1477 Inobrodib dEP300-CRBN, p.o. Vehicle, p.o Multiple Myeloma CDX Treated With dEP300 – CRBN Fold Selectivity 250x EP300 0.2 nM CBP 50 nM Degrader Selectivity FHT-EP300d-CRBN DC50 @24h
Selective ARID1B Protein Degrader For ARID1A Mutated Cancers 36
| ARID1B is a Major Synthetic Lethal Target With Potential in Up To 5% of All Solid Tumors; Degradation Achieved, Program Update in 2025 37 * Per year incidence in the U.S., EU5, Japan. Source: Clarivate DRG Mature Markets Data. • ARID1B • Targeted protein degraderTarget / Approach • ARID1A mutated cancers (e.g. ovarian, endometrial, colorectal, bladder and other cancers) Initial Indication • ARID1A mutations Mutation / Aberration • Preclinical • Program update in 2025 Stage / Next Milestone • ARID1A is one of the most mutated protein in cancers (~ 5% of all solid tumors) representing > 175K addressable patients across solid tumors New Patients Impacted / Year* • Multiple ARID1B binders with nM affinity and selectivity • ARID1B degradation achieved Key Differentiation Uterine Bladder Stomach Cholangiocarcinoma Liver Esophageal Ovarian Colorectal Melanoma 0% 10% 20% 30% 40% Commercial Opportunity % of Patients with ARID1A Mutation
| Compound Screening and Structure-Based Optimization Yielded Selective ARID1B Binders 38 • Mapped and purified several potential ligandable regions of ARID, which were then screened against various compound libraries • Characterized binding using multiple biochemical and biophysical techniques: e.g. DSF, ASMS, NMR, and SPR • Determined X-ray crystal structure of ARID ligandable domains with specific binders • Leveraged these structures to drive binding affinities and expand binding chemotypes Identification of Selective ARID1B Binders X-Ray Crystal Structures Detail Selective ARID1B Binding
| Structure-Based Optimization Drove Improved ARID1B Binding Affinity From 100 uM to Less Than 200 nM 39 1.4 Å co-xtal structure 2.0 Å soak structure 1.7 Å soak structure ARIDb-2 ARID1B Kd: 15 uM ARIDb-1 ARID1B Kd: 100 uM ARIDb-3 ARID1B Kd: 0.5 uM ARIDb-9 ARID1B Kd: 0.2 uM 1.9 Å co-xtal structure Gen 1: Screening Hit Gen 2: Early Optimization Gen 3: Sub-uM Affinity
| Advancing Multiple Programs with Near-Term Milestones Through 2026 40 April 2025 (AACR)Preclinical Combination Data FHD-909* (LY4050784) (Selective SMARCA2 Inhibitor) ConfidentialPhase 1 Dose Escalation Data 2026IND / Phase 1 InitiationSelective CBP Degrader 2026IND / Phase 1 InitiationSelective EP300 Degrader ConfidentialIND / Phase 1 InitiationSelective SMARCA2 Degrader* ConfidentialTarget Disclosure and INDLilly Target #2 2025Program UpdateSelective ARID1B Degrader * 50/50 U.S. economic split
| Developing First-in-Class Precision Medicines Targeting Major Unmet Needs in Cancer 41 Large Market Potential Chromatin biology is implicated in up to 50% of tumors, potentially impacting ~2.5 million patients Foghorn’s current pipeline potentially addresses more than 500,000 of these patients Broad pipeline across a range of targets and small molecule modalities Major Strategic Collaboration Strategic collaboration with Lilly; $380 million upfront; 50/50 U.S. economic split on two lead programs Well- Funded $243.7 million in cash and equivalents (as of 12/31/2024) Cash runway into 2027 Shares outstanding: approximately 62.5M* Value Drivers Selective SMARCA2 Inhibitor, FHD-909, partnered with Lilly, in Phase 1 trial Advancement of preclinical assets (Selective SMARCA2 Degrader, CBP, EP300, ARID1B) towards INDs Protein degrader platform with expansion into induced proximity Leader in Unique Area of Cancer Biology Foghorn is a leader in targeting chromatin biology, which has the potential to address underlying dependencies of many genetically defined cancers Platform with initial focus in oncology, therapeutic area expansion potential *Includes common shares outstanding and pre-funded warrants as of 12/31/2024.
Unique biology Precision therapeutics Broad impact 42 March 2025
Appendix 43
Induced Proximity Platform Evolution FHD-609 is a Selective, Potent, Protein Degrader of the BRD9 component of the BAF complex 44
| Existing Capabilities Have Produced Multiple Degrader Programs and are Setting Foundation for Expansion Into Induced Proximity 45 TargetDegrader Machinery (E3 Ligase) TargetEffector Post-Translational modification - dependent Protein Stabilization Modulation of gene activation/repression Induced Proximity describes a chemical means to bring together a target and effector to re-program disease states Targeted protein degradation is a compelling example of induced proximity Induced proximity offers an almost endless opportunity to modulate biology
| Induced Proximity Platform Demonstrates Initial POC for DUBTAC 46 increase in protein levels DUBTACs (deubiquitinase targeting chimera) are heterobifunctional molecules that recruit a DUB to a target of interest in order to remove the ubiquitin “degradation tag”, thereby resulting in protein stabilization DUBTAC treatment selectively stabilizes BRD7 over BRD9 • BRD7 DUBTAC treatment results in up to 50% increase in BRD7 levels as compared to binder alone, but does not result in stabilization of a highly similar paralogue, BRD9 • Stabilization of BRD7 levels could be new mechanism to impact metabolic and endocrine diseases Impacting Post translational modifications BRD9 binder – 370 nM BRD9 binder – 120 nM BRD9 binder – 40 nM BRD9 DUBTAC1 – 370 nM BRD9 DUBTAC1 – 120 nM BRD9 DUBTAC1 – 40 nM DMSO
| Induced Proximity Platform Demonstrates Potential for Novel Approach to Activate Cell Death Cascade 47 Normal BCL6 Function BCL6 Activation with BAF-BCL6 Heterobifunctional • BCL6 is a proto-oncogene, which binds to promoters of cell death genes and suppresses their expression • We have developed a hetero-bifunctional molecule which couples the chromatin remodeling complex BAF with BCL6 • BAF releases the BCL6 complex, which activates the cell death cascade killing tumor cells • BCL6 inhibitors: GNE and BI, administered on their own have no effect on tumor cells • Genes downstream of BCL6 become more highly expressed when coupled with BAF vs. the BCL6 inhibitor alone STOP DMSO GNE (EC50: 81.65 μM) BI (EC50: 24.34 μM) FHTX (EC50: 0.8614 μM) GNE + BI (EC50: 16.16 μM) KARPAS422 Modulating gene activation/repression BAF-BCL6 heterobifunctional releases cell death cascade
| 48 Nuclear Hormone Receptors Nuclear hormone receptor are implicated in multiple biology processes across most organ systems • Only 10 nuclear hormone receptors have been drugged and approved to date (e.g., AR, ER Glucocorticoids, thyroid HR alpha beta) • Despite decades of development most others have not successfully been developed into drugs for various reasons (e.g. lack of efficacy, safety) • Make existing agonists or antagonists more efficacious • Improve upon failed approaches by addressing efficacy and/or safety issue ~ 10 Nuclear Hormone Receptors Applications of FHTX Induced Proximity Platfrom Access to multiple TAs and indications given promiscuity of HR across multitude of biology processes Induced Proximity Platform Offers Expansion Beyond Oncology; Nuclear Hormone Receptors Initial Area of Focus – Potential for Partnerships 48
| Degrader Design Degrader Optimization Degrader Development Best-in-Class Induced Proximity Modulator • Structural prediction/ docking • Well-developed toolkit • Flexibility- rigidity • Charge • Hydrophobicity • Commercial and proprietary covalent and fragment screening libraries • Target binders • Oral, IV and LAI formulation for drug delivery Computational Chemistry (ML, AI, Virtual Screens) Proprietary E3 Ligase Libraries Binder DiscoveryLinker Toolkit Mechanism and Kinetics Exploratory Biology In vivo Validation (Efficacy and Safety) Proprietary Formulation & Delivery Platform • BAF complex subunits, CBP, EP300 Privileged Collection of Handles Degrader Platform Uniquely Enables Expansion into Induced Proximity 49 • Proprietary E3 ligase binders o ~ 15 -17 in internal library o UBR5 • Specificity/Selectivity (global proteomics) • Kinetics (Dmax/DC50) • Cooperativity (e.g., ternary complex) • Permeability • MoA characterization • Cellular and permeability assays • In Vitro efficacy • Indication selection • Combinations • Resistance mechanisms • In Vivo models • PK/PD determination, modeling and dose prediction
Drugging Transcription Factors Multiple Approaches FHD-609 is a Selective, Potent, Protein Degrader of the BRD9 component of the BAF complex 50
| Foghorn’s Transcription Factor Platform: 4 Approaches 51 Transcription Factor Chromatin Remodeler Modulating TF activity via Protein-Protein Interaction Disruptors Transcription Factor Native E3 Ligase Degrading TFs via recruitment of the native E3 ligase using molecular glue = MG (Molecular Glue) Leveraging Phenotypic Screening to reduce TF levels in disease relevant settings Re-wiring transcription through Induced Proximity with TFs Disease relevant cell lines Transcription Factor Activator/ Repressor = CIP (Chemical Inducer of Proximity) CIP MG Transcription Factor