| This report investigates three goals in optimizing | | | | Data exclusivity in the context of biologics 44 |
| product potential- expanding the drug's patent | | | | Chapter 3 Accessing broader patient populations 46 |
| protected lifespan, accessing broader patient | | | | Summary 46 |
| populations and launching line-extensions via fixed | | | | Drug labeling and market access 47 |
| dose combinations. The key success factors in each | | | | Off-label drug usage 47 |
| of these pursuits have been clearly identified, | | | | Commercial incentives and disincentives 48 |
| emerging trends have been presented and the | | | | Payors stance on off-label reimbursement 49 |
| underlying concepts have been explained to provide a | | | | Case study: Avastin and Lucentis 51 |
| clear understanding of current industry dynamics. | | | | Expanding the label 53 |
| Case studies on popular products have been used to | | | | Role in product lifecycle management 53 |
| illustrate these concepts in the real world. An in-depth | | | | New indications 53 |
| analysis of drug approval data provides context for | | | | Pediatric extensions and special populations 54 |
| the issues discussed. This information is juxtaposed | | | | Modified indications and expanded usage 54 |
| with historic sales data to explore the correlation | | | | Case study: Yaz 55 |
| between the strategies employed and revenue | | | | Case study: Remicade 58 |
| potential. | | | | Indication expansion 59 |
| This report explains the basics of drug lifecycle and | | | | Choosing the primary indication 61 |
| investigates three goals in optimizing product | | | | Related versus unrelated indications 63 |
| potential- expanding the drug's patent protected | | | | Sequence of indication expansion 64 |
| lifespan, accessing broader patient populations and | | | | Timing of indication expansion 65 |
| launching line-extensions via FDCs. | | | | Launching early in commercial lifecycle 68 |
| The key success factors in each of these pursuits | | | | Launching late in commercial lifecycle 69 |
| have been clearly identified, emerging trends have | | | | Seroquel: Using indication expansion and drug |
| been presented and the underlying concepts have | | | | reformulation synergistically 70 |
| been explained to give the reader a clear | | | | Recent trends in indication expansion 72 |
| understanding of current industry dynamics. Case | | | | Indication expansion for NDAs 72 |
| studies on popular products have been used to | | | | Indication expansion for biologics 75 |
| illustrate these concepts in the real world. | | | | Chapter 4 Fixed dose combinations 80 |
| An in-depth analysis of drug approval data provides | | | | Summary 80 |
| context for the issues discussed. This information is | | | | Introduction 81 |
| juxtaposed with historic sales data to explore the | | | | Clinical challenges in FDC development 81 |
| correlation between the strategies employed and | | | | FDC patents 82 |
| revenue potential. | | | | Data exclusivity for FDCs 83 |
| Key findings | | | | Role in product lifecycle maximization 83 |
| Drug manufacturers must make the best strategic | | | | Case study: Advair's role in GSK's asthma franchise |
| use of the patent-protected lifespan of a drug, or | | | | 85 |
| else risk losing the profit incentives they perceived at | | | | Case study: How Vytorin influenced Zocor's patent |
| the start of the project. (Ch. 1) | | | | expiry 88 |
| In light of the increasing complexity of | | | | Case study: BiDil's value proposition reinvented 90 |
| biopharmaceutical patenting, the ‘freedom to | | | | FDC uptake by geography 91 |
| operate', i.e. to commercialize the invention, is coming | | | | Case study: FDCs for hypertension 91 |
| under increasing scrutiny. (Ch. 2) | | | | Clinical rationale 93 |
| The US Congress' emerging stance on data | | | | Synergistic efficacy or safety 94 |
| exclusivity provisions for biologics will define the | | | | Easier Rx management 95 |
| length of time a biotechnology company can keep | | | | Correlation between FDC usage and drug compliance |
| out generic competition in new indications. The | | | | 95 |
| biotech industry's stance is that the current provisions | | | | Correlation between drug compliance & |
| do not provide for enough time to profit from their | | | | improved clinical outcomes 96 |
| post-approval R&D investments. (Ch. 2) | | | | FDC usage by therapy area 96 |
| The potential for post-approval label expansion is | | | | Key success factors and competitive hurdles 98 |
| much greater for biologics in comparison to small | | | | Endorsement by treatment guidelines 98 |
| molecule pharmaceutical drugs. Most biologics on the | | | | Perceived synergy effects over free combination 99 |
| market today can expect to add significant revenue | | | | Compliance advantage over the free combination 99 |
| streams via new indications, and potentially extend | | | | Usage of mono compounds prior to FDC launch 99 |
| their commercial lifespan. (Ch 3) | | | | Discount compared to cheapest free combination 100 |
| Over 45% of all new indication approvals granted by | | | | Time-to-LOE of parent brand 101 |
| the FDA since 1998 belong to drugs that fall in the | | | | Chapter 5 Appendix 103 |
| Genito-urinary system and Nervous system. | | | | Primary research methodology 103 |
| If an FDC is launched close to the loss of exclusivity | | | | Glossary 107 |
| date of the constituent brand, it may be interpreted | | | | Index 111 |
| as a marketing tactic to limit post-LoE revenue losses. | | | | List of Figures |
| If launched early, it may show intent to cater to a | | | | Figure 1.1: Summary of lifecycle of medicinal drugs 17 |
| genuine unmet need, or to legitimately maximize the | | | | Figure 1.2: Transition probabilities for clinical phases 18 |
| potential of the parent molecule(s). (Ch. 4) | | | | Figure 1.3: Out-of-pocket and capitalized costs of |
| Scope of the report | | | | developing a drug ($m) 19 |
| In-depth case studies explore the real-world | | | | Figure 1.4: Time taken for development of new |
| execution of the issues and challenges discussed in | | | | pharma & biotech drugs 20 |
| the report. | | | | Figure 1.5: Approval timelines at CDER for priority |
| Analysis of historic drug approval data provides the | | | | NDAs, 1999-08 21 |
| reader with contextual reference points. | | | | Figure 1.6: Approval timelines at CDER for standard |
| Case studies on Vytorin, Advair and BiDil illustrate the | | | | NDAs, 1999-08 21 |
| strategies employed by three leading FDC brands. | | | | Figure 1.7: Imperatives of efficient lifecycle |
| Brand histories of Yaz, Remicade and Seroquel show | | | | management 23 |
| how label expansion is fundamental to successful | | | | Figure 1.8: Increasing importance of payors as |
| lifecycle management. | | | | stakeholders 24 |
| Where applicable, these strategies are discussed with | | | | Figure 1.9: Tougher payor environments are slowing |
| reference to specific therapeutic areas or | | | | product uptake 25 |
| geographies. | | | | Figure 1.10: Therapeutic substitution and formulary |
| Issues related to biologics are highlighted to indicate | | | | access 27 |
| where they differ from small molecule drugs. | | | | Figure 2.11: 8+2+1 data exclusivity system in Europe |
| Use this report to | | | | 41 |
| Gain an understanding of legal provision for patent | | | | Figure 2.12: Data exclusivity and patent protection in |
| protection and data exclusivity. Understand their role | | | | the US 43 |
| in the context of product lifecycle management | | | | Figure 3.13: On and off-label decision making by |
| Utilize the historical data on NDA approvals to identify | | | | payors 50 |
| trends and build assumptions into competitive | | | | Figure 3.14: Off-label usage of Avastin: a |
| landscape forecasts. | | | | pharmacoeconomic model for wet AMD 52 |
| Understand the stance of key stakeholders and | | | | Figure 3.15: Yaz: Label expansion & sales growth |
| implications of off-label drug usage. | | | | - US ($m), 2006-08 57 |
| Understand the role of FDCs in optimizing the | | | | Figure 3.16: Remicade: Label expansion & sales |
| commercial potential of a product asset, and the main | | | | growth - US ($m), 2001-08 59 |
| challenges in their commercialization | | | | Figure 3.17: Time between launch of original and new |
| Juxtapose historic sales performance with the timing | | | | indications in the US (by ATC), 1999-08 66 |
| of indication expansion and FDC based strategies to | | | | Figure 3.18: Time between launch of original and new |
| assess the success or failure | | | | indications in the US (by ATC), 1999-08 (contd) 67 |
| | | | | Figure 3.19: Considerations in launching new indications |
| | | | | early in the lifecycle 69 |
| | | | | Figure 3.20: Considerations in launching new indications |
| Table of Contents : | | | | late in the lifecycle 70 |
| | | | | Figure 3.21: Lifecycle management: Seroquel and |
| Optimizing Lifecycle Management | | | | Seroquel XR 71 |
| Executive summary 8 | | | | Figure 3.22: New indication approvals for NDAs, |
| Product lifecycle and management challenges 8 | | | | 1999-2008 73 |
| Influencing the commercial lifespan of the drug 9 | | | | Figure 3.23: New indication approvals for Orphan |
| Accessing broader patient populations 10 | | | | drugs, 1999-08 73 |
| Fixed dose combinations 11 | | | | Figure 3.24: New indication approvals with priority |
| Chapter 1 Product lifecycle and management | | | | reviews, 1999-08 74 |
| challenges 14 | | | | Figure 3.25: Increasing clinical and commercial potential |
| Summary 14 | | | | for Remicade 77 |
| Introduction 15 | | | | Figure 4.26: FDC approvals in the US, 1999-08 84 |
| The lifecycle of biopharmaceutical drugs 15 | | | | Figure 4.27: Advair: FDA approvals and patent |
| Development lifecycle 17 | | | | protection 86 |
| Commercial lifecycle 22 | | | | Figure 4.28: Advair-Serevent sales in the US: |
| Managing the lifecycle 22 | | | | maintaining revenues post patent expiry of Flovent |
| Longer development time 23 | | | | 87 |
| Slower product uptake via reimbursement hurdles 24 | | | | Figure 4.29: Zocor-Vytorin-Zetia brand timeline 88 |
| Peak sales potential is reduced by higher competition | | | | Figure 4.30: Cushioning the patent cliff: |
| 25 | | | | Zocor-Vytorin-Zetia sales in US ($m), 2001-08 89 |
| Earlier lifecycle decline due to therapeutic substitution | | | | Figure 4.31: FDC usage for hypertension across major |
| 26 | | | | markets 93 |
| Chapter 2 Influencing the commercial lifespan of a | | | | Figure 4.32: Drug classes with maximum FDC |
| drug 30 | | | | approvals in the US, 1999-08 97 |
| Summary 30 | | | | List of Tables |
| Bargaining power of biopharmaceutical brands 31 | | | | Table 2.1: Data exclusivity periods by country 39 |
| Brand equity 31 | | | | Table 3.2: Success drivers and barriers in indication |
| Patent protection and "freedom to operate" 32 | | | | expansion 61 |
| Strategic patenting 33 | | | | Table 3.3: Unmet needs prevalent within an indication |
| Patent prosecution superhighway 35 | | | | 62 |
| Patent protection for biologics 35 | | | | Table 3.4: Commercial considerations in prioritizing new |
| Data exclusivity 36 | | | | indications 62 |
| Difference between data exclusivity and patent | | | | Table 3.5: Disease areas and related sub-populations |
| protection 40 | | | | for hypertension and heart failure 63 |
| 8+2+1 system in the EU 40 | | | | Table 3.6: New indication approvals by drug class, |
| Data exclusivity in the US 42 | | | | 1999-08 75 |
| Data exclusivity in Japan 43 | | | | Table 4. |