Industry Trends

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Clinical Research
Off-shoring: A Country Attractiveness Index for Clinical Trials

By Mark P. Mathieu
For many years, pharmaceutical companies have been off-shoring manufacturing operations to lower-cost countries. Healthy margins and strong risk aversion have afforded pharmaceutical companies the luxury of staying close to home, for all but manufacturing activities. As financial pressures increase, pharmaceutical executives are finding that going offshore is not only less risky than it once was, but also too attractive to ignore.  Read More



The Future of Pharma: Adjusting the Pharma R&D Model

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by Michelle Russell, Ph.D., Marin Gjaja, Ph.D., and Pete Lawyer
Boston Consulting Group
April 2008

The pharmaceutical industry has enjoyed a protracted winning streak in which it has scored a decade of tremendous growth and profits on the back of novel and important medicines. But where will the victories come from in the next ten years? The pharma industry has entered a period of significant uncertainty and transition, characterized so far by higher R&D costs and fewer new drugs against a backdrop of calls for price controls and access restriction as society reaches the limits of willingness and ability to pay for pharmaceutical innovation. Add to the mix the 10-20 year investment horizon for research-based pharmaceuticals and a U.S. presidential election in which the industry is often under attack, and one thing becomes abundantly clear: The traditional pharmaceutical R&D business model will not generate adequate returns on today’s expenditures to discover, develop, and bring the next wave of new drugs to market. As a result, the model will need to either: (1) evolve significantly; (2) reduce investment to focus on those areas with sustainable returns; or (3) incorporate a combination of both.

By any historical standard, 1995-2005 was a frothy one as the worldwide pharmaceutical market doubled in size from $280 billion to $600 billion. In spite of this, the industry as a whole has created limited shareholder value since 2000, underperforming the S&P 500’s own tepid results. Total shareholder return (CAGR) from the beginning of the decade through year-end 2007 was only 2.7% for the pharmaceutical industry versus 3.6% for the S&P as a whole and 5.9% in the relatively low-growth consumer goods sector. The apparent contradiction can be explained by pharmaceutical P/E ratios, which have tumbled by 50% as investors have done their own math on rising R&D and marketing costs and declining productivity in terms of R&D expenditures per NDA. In financial terms, investors have “shorted” the industry—placing their bets that pharma R&D has excess capacity and that today’s returns are unlikely to be matched as the traditional research-based pharmaceutical business model grinds out the next decade of new products.

There is nothing simple about the pharmaceutical industry, and efforts to reduce its essence to a mathematical model will inevitably miss the nuance, brilliance and serendipity that explain many of the industry’s stellar successes. Nevertheless, one can aggregate inputs across the industry to assemble an average industry return on investment for a new drug. The results are illuminating. Ten years ago, research costs totaled approximately $70M per pre-clinical molecule, the probability of success from this stage to launch was about 18 percent, and peak sales per successful drug were roughly $1.0B. Over a commercial lifespan of ten years post-launch and a net margin of 50 percent, this average successful molecule yielded a 15 percent internal rate of return (IRR)—enough to compensate investors for tying up capital for so long in such a risky gambit.

Today, on the positive side, research costs have been shaved to $50 million per pre-clinical module as advances in genomics have vastly boosted the number of targets and as robust computing power has given the industry many more “shots on goal.” Alas, putting up more shots hasn’t raised the score, since the probability of clinical success has plummeted to only 8 percent. Looking forward, assume peak sales advance a bit to $1.1 billion, but net margins shrink to 40 percent as managed care and government payers flex their purchasing muscle. Under such a scenario, the payback tumbles to an estimated 11 percent IRR. This is not bad in the abstract perhaps, but is a far less favorable return than investors have come to expect for the long and risky wager involved in funding the traditional pharmaceutical model. By contrast, a lower-growth area like consumer goods—insulated by brand power rather than patent power—starts to look like a more attractive bet for investors.

What is pharma’s best bet for recouping investment in drug discovery and innovation? By cross-referencing therapeutic areas with high unmet need (as indicated by low generic penetration and strong price levels) against international markets with access and pricing policies more favorable to innovation, an opportunity map for the researchbased pharmaceutical business comes into focus.

An Opportunity Map for Pharma R&D

For a larger version of the graphic click here.

 


PAREXEL-Sourcebook-2008The Industry Trend featured on this page was excerpted from

PAREXEL’s Bio/Pharmaceutical R&D Statistical
Sourcebook 2008/2009

Get your copy of the leading compendium of pharma/biotech R&D trend data and market intelligence!

400+pp!  Available in Hardcopy and Electronic Access

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White Papers & Special Reports

oracle_RDC
Remote Data Capture:Acquisition and Analysis
Sponsored by Oracle

See why Electronic Data Capture (EDC) is gaining traction in the pharmaceutical
clinical trials arena. Today approximately half of all clinical trials are conducted
electronically, and the figure is rapidly rising. Report includes contributions from
Oracle Health Sciences, Pfizer, PPD, and C3i.

 



oracle20723
The Role of Analytics in Transforming Healthcare
Sponsored by Oracle

Sharing many of the data challenges and opportunities faced by Healthcare, the Life Sciences industry remains focused on delivering new, innovative therapies and solutions to patients in a cost effective, timely and safe way. With spiraling R&D costs, new methods such as adaptive trials, and never ending need for deep pharmacovigilance, the Life Sciences companies that effectively use analytics to explore, monitor and optimize their business will rapidly become the new leaders.

Oracle’s strategy—built upon Enterprise Health Analytics and Health Data Warehouse Foundation—provides a powerful, practical, and extensible approach to delivering the IT analytics infrastructure required to confront the worldwide healthcare challenge.



pegasystems
BPM-Based Case Management Approach to Optimizing Clinical Trial Efficiency
Sponsored by Pegasystems

Business Process Management (BPM) software offers liberation in the planning and management of clinical trials today. SmartBPM provides the components for automating critical clinical trial processes ranging from protocol development and patient enrollment to site management and investigator payments. Advantages are:

  • Potentially stunning return on investment at multiple levels.
  • A 500%, or better, increase in application development time by directly executing business requirements
  • Improved customer retention
  • A 50% possible reduction in training time

Discovered is opportunity to enhance relationships with investigators, subjects, and regulators while bringing momentum to a technology-impaired study startup phase. Learn more about SmartBPM in this complimentary white paper.



Life Science Webcasts & Podcasts

Bio-IT World & CHI

Impact of the 1000 Genomes Project on the Next Wave of Pharmacogenomic Discovery
1000genomeInterview with M. Eileen Dolan, Ph.D., Professor, Medicine, University of Chicago and Speaker at Next-Generation Sequencing Data Management, September 27-29, 2010, Providence, RI  

The 1000 Genomes Project aims to provide detailed genetic variation data on >1000 genomes from worldwide populations using the next-generation sequencing technologies. Some of the samples utilized for the 1000 Genomes Project are the International Hap-Map samples that are composed of lymphoblastoid cell lines (LCLs) derived from individuals of different world populations. The detailed map of human genetic variation promised by the 1000 Genomes project will allow a more in-depth analysis of the contribution of genetic variation to drug response. Future studies utilizing this new resource can greatly enhance our understanding of the genetic basis of drug response and other complex traits.


Download Now 



More Podcasts

Job Openings

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Software Engineer – Computational Biology Center

Memorial Sloan-Kettering Cancer Center seeks an Engineer to design and develop complex data analysis systems in support of cancer genomics research projects at the Computational Biology Center. Qualified candidate will have a BA, 5+ years of software development experience and expert knowledge of Java, SQL, and HTML.

Apply: www.mskcciscareers.org.  Equal opportunity and affirmative action employer.

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