Lantern Pharma Inc. · NASDAQ:LTRN

Lantern Pharma — IPO Roadshow (May 2020)

38 slides from Lantern Pharma's IPO roadshow presentation, May 19, 2020

  1. Slide 1: Lantern Pharma IPO Roadshow Presentation

    Nasdaq: LTRN 1 Lantern Pharma IPO ROADSHOW Presentation Leveraging A.I., Machine Learning & Genomics to Rescue, Repurpose and Develop Targeted Cancer Therapies

  2. Slide 2: Free Writing Prospectus

    Nasdaq: LTRN 2 FREE WRITING PROSPECTUS • We have filed a registration statement (including a prospectus) with the SEC for the offering to which this communication rel ate s. Before you invest, you should read the prospectus in that registration statement and other documents the issuer has filed with

  3. Slide 3: Special Note Regarding Forward-Looking Statements

    Nasdaq: LTRN 3 SPECIAL NOTE REGARDING FORWARD - LOOKING STATEMENTS This presentation contains forward - looking statements that involve substantial risks and uncertainties. All statements, other th an statements of historical fact, contained in this presentation, including statements regarding our s

  4. Slide 4: IPO Offering Summary

    Nasdaq: LTRN 4 IPO Offering Summary ISSUER LANTERN PHARMA INC. Proposed Aggregate Offering $25,008,000 Price Range $15.00 to $17.00 Proposed Symbol LTRN – Nasdaq Shares Offered 1,563,000 Pre - IPO Common Shares Outstanding as converted 4,467,594 Post - IPO Common Shares Outstanding 6,030,594 Use of

  5. Slide 5: Management Team

    Nasdaq: LTRN 5 Highly experienced in the pharma, drug development and oncology industry Management Team Jeff Donald Keyser, Ph.D., J.D., MPA • Board Chairman • Founder of Renibus Therapeutics and ZSPharma Franklyn Prendergast, M.D., Ph.D. Emeritus • Board of Governors and Board of Trustees, Mayo Cli

  6. Slide 6: Rescuing failed or abandoned drugs with A.I.

    Nasdaq: LTRN 6 Drugs that have failed clinical trials or have been abandoned by pharma and biotech companies in late stage trials • Big data (genomic, clinical, response) assembled and analyzed • Patient subgroups identified through machine learning and artificial intelligence • Mechanisms of action

  7. Slide 7: Oncology drug development is costly, risky, and inefficient

    Nasdaq: LTRN 7 Current oncology drug development is costly, risky, and inefficient … a perfect problem area for artificial intelligence & machine learning 3.4% Avg. success rate of oncology drugs $1B+ Average developmental cost per oncology drug 17,000+ Oncology trials conducted from 2001 - 2015 2X

  8. Slide 8: Critical need to rescue failed drugs and stratify patients

    Nasdaq: LTRN 8 “... low efficacies of cancer drugs might be attributed to the heterogeneity of the tested patient population , which essentially dilutes the strong therapeutic effect that a drug might have on a specific patient subgroup .” Thiebault Geoux , Ph.D. Chemistry - Elsevier 11/9/2015 10.1

  9. Slide 9: Mega Trends Shaping Drug Development

    Nasdaq: LTRN 9 Solving unmet needs and creating opportunities in personalizing cancer therapy by capitalizing on emerging technologies and industry trends 1. Increased access to validated genomic & biomarker data 2. Availability of well tolerated and clinically active but failed or abandoned compoun

  10. Slide 10: A.I.-driven drug discovery is a rapidly growing market

    Nasdaq: LTRN 10 Drug discovery and development driven by A.I. is a rapidly growing market in response to fundamental shifts in the industry and a re - tooling of R&D 0 200 400 600 800 1000 1200 2016 2024 *Source: Biopharmatrend.com , PMLiVE, and Global Market Insights, Inc. ~$4B A.I. - driven Drug D

  11. Slide 11: Scalable, Unique Artificial Intelligence Platform – RADR

    Nasdaq: LTRN 11 Scalable, Unique Artificial Intelligence Platform – RADR® • 275+ Million datapoints covering over 140+ drug/tumor interactions • Active collaboration with NCI in oncology therapeutics • Guides development of patient stratification and CDx strategy • Validated in multiple case studies

  12. Slide 12: RADR platform data for predicting drug response

    Nasdaq: LTRN 12 Lantern’s powerful A.I. platform is being developed with a pure focus on predicting drug outcome and drug response using a depth of interrelated biomarker and clinical data , including: • Complete transcriptome data • RNA gene expression data • Drug sensitivity data • DNA copy number

  13. Slide 13: Lantern's Unique & Rapidly Developing Pipeline

    Nasdaq: LTRN 13 Lantern’s Unique & Rapidly Developing Pipeline Phase I Phase II LP - 184 LP - 100 (Irofulven) LP - 300 Drug Preclinical Indication Prostate Cancer Successfully partnered & out - licensed for up to $14M Non - Small Cell Lung Cancer (Never - Smokers) Solid Tumors (Location agnostic tum

  14. Slide 14: Target market segments comprise nearly 1M patients annually

    Nasdaq: LTRN 14 Target market segments comprise nearly 1M patients annually worldwide Prostate Cancer Non - Small Cell Lung Cancer (NSCLC) Ovarian, Pancreatic & Liver Cancer 1.3 million 2018 Estimated Global Incidence 208,000 2018 Estimated G lobal metastatic hormone - resistant prostate cancer subp

  15. Slide 15: Overview of Lantern's Small Molecule Portfolio

    Nasdaq: LTRN 15 Overview of Lantern’s Small Molecule Portfolio LP - 100, Irofulven LP - 184 LP - 300 • DNA Damaging Agent • Mediates cytotoxicity through multiple mechanisms such as DNA adduct formation, RNA polymerase stalling and redox protein modification • Actively enrolling in a precision medic

  16. Slide 16: LP-100 (Irofulven): out-licensed to Oncology Venture

    Nasdaq: LTRN 16 LP - 100 ( Irofulven ): out - licensed to Oncology Venture and in an active, genetically - guided clinical trial for prostate cancer History of Safety, Tolerability & Efficacy in Multiple Clinical Trials • Out - licensed to Oncology Venture (OV) in 2016 • Lantern Pharma can receive u

  17. Slide 17: LP-100: Historical phase II trial results in prostate cancer

    Nasdaq: LTRN 17 LP - 100 ( Irofulven ): Historical* phase II trial results in prostate cancer *Historical data from Hart et al., Randomized phase II trial of irofulven/prednisone, irofulven/capecitabine/prednisone, or mitoxantrone/prednisone in hormone refractory prostate cancer (HRPC) patients fail

  18. Slide 18: LP-300 in development for female never-smokers with NSCLC

    Nasdaq: LTRN 18 LP - 300 in development for female never - smokers with NSCLC adenocarcinoma based on strong historical data Mechanism of action • Disulfide bond disrupting agent • Disrupts by covalently modifying Cysteine • Inhibits and modulates activity of proteins in NSCLC pathways (ALK, EGFR, M

  19. Slide 19: Lung Cancer in Never-Smokers – a hidden but rising disease

    Nasdaq: LTRN 19 Lung Cancer in Never - Smokers (LCINS) – a hidden but rising disease • 7 th leading cause of death among patients with solid tumors • More frequent in women with ~2/3 of patients with no reported smoking history • Adenocarcinoma is the most common histology accounting for ~60% of non

  20. Slide 20: LP-300 Phase III subgroup 2-year survival

    Nasdaq: LTRN 20 Source: Phase 3 clinical trial, study ID DMS32212R, conducted by BioNumerik Pharmaceuticals - subpopulations receiving paclitaxel/cisplatin 30% 51% 63% 72% 25% 31% 28% 32% All patients Females never-Smokers Female never-Smokers 2 Year Survival % LP-300 + Cisplatin/ Paclitaxel Placebo

  21. Slide 21: LP-300 survival curves by subgroup

    Nasdaq: LTRN 21 All never - smokers N = 87, HR = 0.519 (p value 0.0462) Survival months Survival probability 0 10 20 30 1.0 0.8 0.6 0.4 0.2 0.0 LP - 300 + Cisplatin/Paclitaxel Placebo + Cisplatin/Paclitaxel All females N = 114, HR = 0.579 (p value 0.0477) LP - 300 + Cisplatin/Paclitaxel Placebo + Ci

  22. Slide 22: Proposed Phase II trial design for LP-300

    Nasdaq: LTRN 22 Proposed design for relaunching of Phase II clinical trial for LP - 300 in a targeted patient population Histology / demographic/ smoking history screening LP - 300 + standard of care (Dosing every 3 weeks and up to 8 treatment cycles) Efficacy Endpoints Never - smoker NSCLC Adenocar

  23. Slide 23: LP-184 for solid tumors and PTGR1 expressing cancers

    Nasdaq: LTRN 23 LP - 184 for solid tumors and certain PTGR1 expressing cancers Unique Features • Hydroxyurea Methylacylfulvene • Nanomolar potency across multiple solid tumor (pancreas, prostate, liver) and glioblastoma cell lines • Broad anti - tumor agent that counteracts multi - drug resistance a

  24. Slide 24: LP-184 tumor regression in mouse model

    Nasdaq: LTRN 24 LP - 184 treatment resulted in greater tumor regression in a mouse model with human cancer Source: Staake et al., Bioorganic & Medicinal Chemistry Letters (2016) 10 1 0.1 10 20 30 Time (days) Relative Tumor Weight No Drug LP - 100, 10 mg/kg LP - 184, 10 mg/kg LP - 184, 20 mg/kg Drugs

  25. Slide 25: Proposed LP-184 mechanism of action

    Nasdaq: LTRN 25 Proposed LP - 184 mechanism of action based on acylfulvene drugs 1. Potential synergistic drug combinations due to involvement w/ DNA repair pathway and supported by gene correlation studies 2. Approved drugs in certain drug classes have been identified to be synergistic with LP - 18

  26. Slide 26: LP-184 in vitro potency over approved chemotherapeutics

    Nasdaq: LTRN 26 1 10 100 1,000 10,000 100,000 1,000,000 SNU387_Liver H2228_NSCLC H1944_NSCLC OV90_Ovary NIHOVCAR3_Ovary IC50 [ nM ] Cell Line ID_Cancer Type LP-184 Cisplatin Pemetrexed Nanomolar potency Micromolar potency LP - 184 shows a 10x – 3,800x increase in in vitro potency over approved chemo

  27. Slide 27: LP-184 in Glioblastoma

    Nasdaq: LTRN 27 LP - 184 shows significant promise in improving patient outcomes in Glioblastoma (GBM) – a rare cancer with median survival of < 1 year 37.4 46.4 47.7 231 274000 513000 293000 129000 1 10 100 1,000 10,000 100,000 1,000,000 SF268 SF295 SNB75 U251 IC50 [ nM ] Comparative sensitivity of

  28. Slide 28: RADR – A robust and scalable platform

    Nasdaq: LTRN 28 RADR ® - A robust and scalable platform for accelerating the development of targeted cancer therapy, precision trials and Companion Dx Model Data Sets Data Sources AI Methods Being Deployed • >275+ million transcriptomic and drug sensitivity data points • >140 drug - tumor interactio

  29. Slide 29: RADR identifies genetic markers and signatures

    Nasdaq: LTRN 29 RADR ® identifies genetic markers and signatures for precision oncology drug development, clinical response prediction and CDx enablement Output & Signature Development Process Platform Architecture Success in Blinded Predictions Oncology Patient Records & Response Information Drug -

  30. Slide 30: RADR Workflow Details

    Nasdaq: LTRN 30 Uses machine learning methods to train on datasets Parameter tuning and model development and evaluation Biomarker Pa nel or Gene Signature for a CDx Guidance for clinical trial design & studies Training Set Optimal model used on testing dataset Genetic D ata Drug S ensitivity Data G

  31. Slide 31: Our Intellectual Property Portfolio

    Nasdaq: LTRN 31 108 Issued Patents Our Intellectual Property Portfolio – Extensive and continually growing position of over 108 issued and in - licensed patents and 7 patent applications across 14 patent families Methods of Use Composition of Matter Drug Sensitivity & Response Signatures using Bioma

  32. Slide 32: Studies & Collaborations With Top Tier Academic & Research Partners

    Nasdaq: LTRN 32 Studies & Collaborations With Top Tier Academic & Research Partners

  33. Slide 33: Heavy investment & investor interest in A.I. driven drug development

    Nasdaq: LTRN 33 Heavy investment & investor interest in A.I. driven drug development Company Investment Feb. 2020 IPO (NASDAQ: SDGR) $226+ M. total Latest 07/2019 private raise Mar. 2018 IPO (NASDAQ: BTAI) $50+ M. total Latest 03/2018 private raise Valuation* $3,600+ Million $232 M. raised at IPO $9

  34. Slide 34: Value Building Milestones & Inflection Points

    Nasdaq: LTRN 34 Value Building Milestones & Inflection Points x Readout from targeted Phase 2 trial in Europe in prostate cancer by Q4, 2020 / Q2, 2021 x Launch Ph.2 clinical trial for LP - 300 in NSCLC (never - smokers) x Launch Ph.1 clinical trial for LP - 184 in solid tumors x Launch Ph.1/2 clini

  35. Slide 35: Use of Proceeds

    Nasdaq: LTRN 35 Use of Proceeds GROSS PROCEEDS FROM IPO $25,008,000 Advance Clinical Programs for Lead Candidates - LP - 300 and LP - 184: Clinical Trial Testing, Preclinical Studies, Biomarker Studies & Manufacturing $13,500,000 AI Platform, RADR® Development and Expansion & Data Collaborations $2,

  36. Slide 36: Pre IPO Capitalization Table

    Nasdaq: LTRN 36 *Assuming a 1.74 for 1 stock split immediately prior to closing of the offering ** Conversion of Series A Preferred stock into 2,438,865 shares of common stock Pre IPO Capitalization Table LANTERN PHARMA INC.* Common Shares Outstanding ** 4,467,594 Warrants (WAEP $3.13) 262,003 Optio

  37. Slide 37: Investment Highlights

    Nasdaq: LTRN 37 Investment Highlights - Lantern Pharma has a unique, growing and validated foundation for the future of cancer therapy and patient care Focused on cancer drug market segments with clear clinical need , understood mechanisms, targeted patient populations that exceed 1 Million , and mu

  38. Slide 38: Thank you!

    Nasdaq: LTRN 38 Lantern Pharma IPO ROADSHOW Presentation Thank you!

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