Thursday, April 15, 2010

Developing improved mouse models of cancer for drug discovery and development

The April 1, 2010 issue of The Scientist has an article, entitled “Building a better mouse”, on efforts of researchers to develop improved mouse models of cancer.

Current mouse models of cancer, mainly xenograft models in which human cancer cell lines are transplanted into immune deficient mice, are notoriously unpredictive of efficacy when oncology drug candidates are tested in them. This is a major factor in the high failure rate of oncology drugs in clinical trials. It is estimated that oncology drugs that enter human clinical trials have a 95 percent attrition rate, as compared to the 89 percent attrition rate for all clinical candidates. (Poorly predictive animal models are a major factor in the failure of clinical candidates in all therapeutic areas, but cancer models are particularly unpredictive.)

The Scientist article focuses on the ongoing “co-clinical mouse/human trials” now being led by Pier Paolo Pandolfi, MD, PhD (Director, Cancer and Genetics Program, Beth Israel-Deaconess Medical Center Cancer Center and the Dana-Farber/Harvard Cancer Center). Dr. Pandolfi and his colleagues have constructed genetically engineered transgenic mouse strains that have genetic changes that mimic those found in human cancers. These mouse models spontaneous develop cancers that resemble the corresponding human cancers. In the co-clinical mouse/human trials, researchers simultaneous treat a genetically engineered mouse model and patients with tumors that exhibit the same set of genetic changes with the same experimental targeted drugs. The goal is to determine to what extent the mouse models are predictive of patient response to therapeutic agents, and of tumor progression and survival. The studies may thus result in validated mouse models that are more predictive of drug efficacy than the currently standard xenograft models.

The human clinical trials being “shadowed” by simultaneous studies in mice include Phase III trials of several targeted therapies for lung and prostate cancer. Xenograft models in which tumor tissue from the patients have been transplanted into immunosuppressed mice are being tested in parallel with the genetically engineered mouse models. This two-year project represents the most rigorous test to date of how well genetically engineered mouse models of cancer can predict clinical outcomes.

Dr. Pandolfi started in the mouse cancer model field with his studies of acute promyelocytic leukemia (APL). Unlike humans, mice do not naturally develop APL. Chromosomal translocations, in which the gene for the retinoic acid receptor alpha (RARα) (located on chromosome 17) becomes fused to one of several partner genes (known as “X genes”) on different chromosomes, are involved in the causation of APL. In over 98% of cases of APL, RARα is fused to the promyelocytic leukemia (PML) gene, located on chromosome 15. In a relatively small percentage of cases, RARα is fused to other X genes. An example of one of these other genes is the promyelocytic leukemia zinc finger (PLZF) gene, located on chromosome 11.

In studies in the late 1990s, Dr. Pandolfi and his colleagues constructed transgenic mice that expressed either PML-RARα or PLZF-RARα transgenes, in a promyelocytic-specific manner. (Expression of these transgenes in every cell of a mouse embryo results in embryonic lethality, and their expression in all early hematopoietic progenitors results in impaired myelopoiesis but no leukemia; these transgenic mice are thus not informative with respect to APL. The researchers were able to model PML only by expressing the transgenes specifically and exclusively in promyelocytes.)

The promyelocytic-specific PML-RARα-transgenic mice exhibit abnormal hematopoiesis over their first year of life, and between 12-14 months of age 10% of them develop APL. The promyelocytic-specific PLZF-RARα transgenic mice also exhibit a long latency period, and a subset of these mice eventually develops a leukemia that has features of human chronic myelogenous leukemia (CML).

Importantly, the above transgenic mouse models were useful in designing therapies for human patients. The leukemias in both the PML-RARα-transgenic mice and in patients with the PML-RARα translocation were responsive to treatment with all-trans retinoic acid (ATRA) (Genentech’s Vesanoid, generics). However, both the PLZF-RARα transgenic mice and patients with APL bearing the PLZF-RARα translocation were not responsive to ATRA. APL patients who initially responded to ATRA developed resistance to the drug, as did the PML-RARα transgenic mice. Using the PML-RARα transgenic mice, the researchers found that a combination of ATRA with arsenic trioxide (As2O3) (Cephalon’s Trisenox) cured the mice of leukemia. This later proved to also be true for human patients with APL bearing the PML-RARα translocation. Thus a cancer that once was uniformly fatal now has an approximately 90% survival rate.

Leukemic mice with the PLZF-RARα transgene were not responsive to As2O3. However, later studies have indicated that histone deacetylase inhibitors such as phenylbutyrate, in combination with ATRA, may be effective in treating these transgenic mice. These drug combinations may therefore be effective in APL patients with the PLZF-RARα translocation.

The success of Dr. Pandolfi’s genetically engineered mouse model in designing an effective therapy for the major type of APL illustrates the potential power of improved mouse models for cancer. Of course, this is a special case, since researchers were able to use the model to design an effective therapy using already-approved drugs. In most cases, researchers use the models to develop novel therapeutic strategies for a particular cancer, which involves discovery and development of new drugs or design of clinical trials using experimental drugs that have yet to be approved. The “co-clinical mouse/human trials” being run by Dr. Pandolfi and his colleagues may result in additional validation of the power of genetically engineered mouse models of cancer, and may thus encourage their adoption by companies developing new oncology drugs.

Our recently published book-length report, Animal Models for Therapeutic Strategies, includes a case study on a genetically engineered model of pancreatic cancer. Pancreatic cancer is one of the most lethal of cancers. Although models bearing transplanted human pancreatic tumors (i.e., xenograft models) are sensitive to numerous chemotherapeutic agents, human pancreatic cancers are insensitive to the same agents. Using a genetically engineered mouse model of pancreatic cancer, researchers hypothesized that the reason for the insensitivity of human pancreatic cancer (and of tumors in the mouse model) is impaired drug delivery. Researchers have been using the mouse model to develop novel therapeutic strategies to enhance drug delivery and thus to achieve improved treatment of this disease.

Our 2009 book-length report, Approaches to Reducing Phase II Attrition, includes a case study on adoption of genetically engineered cancer models by industry. Most animal models designed to enable researchers to develop novel therapeutic strategies for complex human diseases are developed by academic researchers. This includes genetically engineered cancer mouse models. However, most drugs are developed by industry, not academia. Industrial researchers are hampered in their ability to develop successful new oncology drugs by the poorly predictive xenograft models. Genetically engineered mouse models of cancer may help biotechnology and pharmaceutical company researchers to be more productive in oncology drug development, provided the corporate researchers can adopt these animal models for use in their discovery research and preclinical studies. However, for several reasons, industry has not widely adopted these models.

Our report discusses the barriers to adoption of these models, large pharmaceutical companies that are beginning to adopt the models, and the biotechnology company Aveo Pharmaceuticals, whose technology platform is based on in-licensing genetically engineered mouse cancer models from its principals’ academic laboratories and developing new models in-house. Aveo uses its models in its own internal drug discovery and development, and also collaborates with several large pharmaceutical companies. Aveo thus serves as a means of technology transfer from academia to industry, including both to its own internal programs and to its partners. The article in The Scientist also discusses Aveo’s research on genetically engineered mouse cancer models, and their use in the company’s internal drug development programs.

Thursday, March 18, 2010

Some notes on this blog

We started the Biopharmconsortium Blog in July of 2009, so it is relatively new. Since that time, we have posted 21 articles (not including this one), 7 of which were posted in 2010.

The blog has gradually been picking up a following, and it recently made a "Top 50 Biotech Blogs" list. Thanks to Medicareer for honoring our blog in that way. (Haberman Associates has no business or financial relationship with Medicareer, nor do I even know the people there.)

The 21 articles now posted on the blog may at first glance seem to be on random subjects—commentary on recent news and/or recent published scientific reports or business articles, and a few announcements and commentaries on Haberman Associates publications or events. However, there is a strong theme of R&D strategy—especially productive R&D strategies—running through the whole blog.

When we first began the blog, the masthead at the top read “Your place for discussion of scientific and business issues in the biotechnology, pharmaceutical, diagnostics, and research products industry". Earlier this month, we changed the masthead to read “Expert commentary from Haberman Associates biotechnology and pharmaceutical consulting.” The new heading better reflects what the blog has become since we started it, and also reflects the fact that it is a business blog. Nevertheless, our blog is also a service to the life science community, including companies, academic institutions, and disease organizations and patient advocates. We continue to welcome your comments and discussions of our articles.

Friday, March 12, 2010

“Animal Models for Therapeutic Strategies” published by Cambridge Healthtech Institute

On March 5, 2010, Cambridge Healthtech Institute (CHI) announced the publication of our new book-length report, Animal Models for Therapeutic Strategies. This new Insight Pharma Report discusses the use of animal models to develop new paradigms for drug discovery and development in important human diseases. The report also discusses strategies for developing more predictive animal models of drug efficacy. Poorly predictive animal models are a major reason for Phase II and Phase III pipeline drug attrition. Thus this new report complements our May 2009 Insight Pharma Report, Approaches to Reducing Phase II Attrition.

We have an article, published in Genetic Engineering News in 2004, on the use of animal models in developing novel therapeutic strategies for the treatment of Alzheimer’s disease (AD), available free on our website. This article, based on our 2004 animal models report that is now out of print, gives examples of the use of animal models (the mouse, C. elegans, Drosophila, and the zebrafish) in developing therapeutic strategies. These animal model studies were key to the eventual development of nearly all the pipeline drugs now in the clinic for AD, as well as the development of alternative hypotheses to the dominant amyloid hypothesis (and therapeutic strategies based on them).

The 2010 report includes discussions of using animal models to develop therapeutic strategies for such diseases as Parkinson’s disease, polycystic kidney disease (PKD), autism, and various types of cancer. It also includes discussion of development of emerging animal models, from fish to frogs to mammals.

In the “emerging mammalian model systems” chapter, we include a discussion of the “reemergence” of the laboratory rat, an old animal model that had been eclipsed by the mouse in the era of knockout mice and genomics. Many of you have no doubt seen the ads from SAGE Labs (Sigma Advanced Genetic Engineering) in scientific and trade journals, announcing that “knockout rats are finally here”. Some of you may also have seen the Nature news article Return of the rat. We cover the technologies behind the reemergence of the rat, and the companies and research groups that are driving this development, in our report. As we also discuss in the report, some of the new technologies used in developing rat models are also being applied to other mammalian species.

The report also covers the issue of why it is so difficult to model the complex diseases that are the major focus of current drug discovery and development efforts in the pharmaceutical/biotechnology industry, and strategies that researchers are using to develop more predictive animal models, especially more predictive mammalian models.

For more information on the report, or to order it, see the CHI Insight Pharma Reports website.

Wednesday, March 10, 2010

Plexxikon’s discovery of PLX4032, a selective targeted therapeutic for metastatic melanoma

In our March 2, 2010 blog post, we focused on a Phase I clinical trial of Plexxikon/Roche’s PLX4032, in which clinical researchers led by Keith T. Flaherty achieved a dramatic breakthrough in treatment of metastatic melanoma. Now we shall discuss the discovery of the drug itself, PLX4032.

In 2002, a research consortium based at the Wellcome Trust Sanger Institute in the U.K. found B-Raf somatic missense mutations in 66% of malignant melanomas (as well as in a subset of other cancers). V600E (valine substituted by glutamic acid at position 600) accounted for 80% of these mutant forms of B-Raf. The V600E mutation causes destabilization of the inactive conformation of B-Raf kinase, shifting the equilibrium toward the catalytically active conformation.

B-Raf is a serine/threonine protein kinase that is a component of an intracellular pathway that mediates signals from growth factors. B-Raf is regulated by binding to Ras. In turn, B-Raf activates MEK (mitogen-activated protein kinase kinase), which activates ERK (extracellular signal-regulated kinase). Activated ERK goes on to upregulate transcriptional pathways that promote cellular proliferation and survival.

Growth factors → →Ras→ B-Raf→ MEK→ ERK→ →upregulation of cell proliferation and survival

Growth factor signaling via Ras also controls other signaling pathways that upregulate cell proliferation, notably the PI3K-Akt (phosphatidylinositol-3-OH kinase-Akt) pathway.

The Sanger researchers found evidence that cells carrying B-Raf(V600E) no longer require Ras function for proliferation. This would mean that melanoma cells carrying this mutation could proliferate independently of growth factor signaling, resulting in the runaway proliferation characteristic of the malignant phenotype.

These results suggested that B-Raf(V600E) would be a good target for novel kinase inhibitors to treat malignant melanoma. The first such kinase inhibitors to be developed, although they had inhibitory activities at low nanomolar concentrations against B-Raf (both wild-type and mutant), were not successful in the clinic, due to their inhibition of multiple nonspecific targets and/or their poor bioavailability. Plexxikon researchers therefore set out to discover inhibitors that are highly selective for B-Raf(V600E). The result was the discovery of PLX4032.

The discovery of PLX4720 (a tool compound or chemical probe related to PLX4032) by Plexxikon researchers and their academic colleagues, and its preclinical validation, is described in a 2008 publication, Tsai et al. Plexxikon used its proprietary “scaffold-based drug design” technology platform to discover PLX4720. Scaffold-based drug design involves synthesizing sets of low-molecular weight “scaffold-like’” compounds. These compounds interact (typically at low affinity) with many members of a protein family by targeting their conserved regions.

In the B-Raf study, the researchers identified protein kinase scaffolds by screening a select library of 20,000 150-350-dalton compounds for inhibition of a set of three structurally characterized protein kinases at a concentration of 200 micromolar (μM). Of this library, 238 compounds were selected on the basis of their inhibition of the kinases by at least 30% at the 200 μM concentration. Each of the compounds was cocrystallized with one if the three kinases, Pim-1. Using this method, the researchers found that 7-azaindole bound to the ATP-binding site of Pim-1 kinase. They further modified this compound by adding side chains on the 3 position of 7-azaindole, resulting in a “scaffold candidate” with increased affinity for the ATP binding site of PIm-1 and other kinases. The researchers further modified this scaffold, based on structural data from other kinases. Ultimately, they cocrystallized their modified compounds with wild-type B-Raf and B-Raf(V600E), and optimized the structure of their compounds to give a compound, PLX4720, with selectivity for B-Raf(V600E) and against wild-type B-Raf and other kinases. This process (including the relevant chemical and protein structures) is illustrated in Figure 1 of Tsai et al.

In biochemical assays, the researchers found that PLX4720 inhibited B-Raf(V600E) at low nanomolar concentrations, and was 10-fold more selective for B-Raf(V600E) than for wild-type B-Raf, and was even more selective for B-Raf(V600E) than for other kinases.

Surprisingly, in cellular assays, PLX4720 is over 100-fold (not 10-fold) more selective in inhibiting proliferation of tumor cell lines that bear B-Raf(V600E) as compared to those that bear wild-type B-Raf. Moreover, as first found by researchers at Pfizer and their academic collaborators, a specific inhibitor of MEK (Pfizer’s CI-1040) is also similarly selective for tumor cell lines bearing B-Raf(V600E). This suggests that the B-Raf-MEK-ERK pathway is critical for the proliferation of B-Raf(V600E) cells, but not for cells bearing wild-type B-Raf. [For example, tumor cells that bear wild-type B-Raf might use the PI3K-Akt pathway to upregulate pathways that control cell proliferation independent of ERK signaling, while tumor cells that bear B-Raf(V600E) cannot.]

The B-Raf-MEK-ERK pathway dependence of B-Raf(V600E) cells may in part be related to feedback inhibition of B-Raf (and other isoforms of Raf). Activated ERK can phosporylate wild-type Raf isoforms at specific inhibitory sites. This results in downregulation of signaling via the Raf-MEK-ERK pathway. However, in cells bearing B-Raf(V600E), this feedback inhibition is disabled, resulting in uncontrolled signaling.

The Plexxikon researchers (Tsai et al.) tested PLX4720 against tumor xenograft models. Oral administration of PLX4720 blocked tumor growth, and in 4 out of 9 cases caused tumor regressions, in mice with tumor xenografts bearing B-Raf(V600E). Treatment with PLX4720 was well tolerated, and showed no adverse effects. Growth of tumor xenografts bearing wild-type B-Raf was not affected by PLX4720. In mice with tumors bearing B-Raf(V600E), PLX4720 blocked B-Raf-MEK-ERK pathway signaling, as demonstrated by immunohistochemical assays.

The exquisite specificity of PLX4720/PLX4032 for B-Raf(V600E) as compared to wild-type B-Raf was made possible by Plexxikon’s structure-guided “scaffold-based drug design” technology. Other structure-guided drug design technologies, such as fragment-based lead design, as is carried out in several companies, might be used to design comparably specific drugs.

The discovery of PLX4720/PLX4032 is an example of the use of new-generation chemistry technologies (or the revival of the old, and now disused natural products chemistry approach), coupled with biology-driven drug discovery strategies, to discover promising new drugs. We have discussed this strategy in several articles on this blog. (For example, see here and here).

Despite the promising results seen in Phase I clinical trials of PLX4032, it must be emphasized that the establishment of the efficacy and safety of this compound awaits the completion of the ongoing Phase III trials. Moreover, despite the dramatic regressions and increased survival seen in the Phase I trials, all the patients apparently eventually suffered relapses. Dr. Flaherty, as discussed in our earlier blog post, sees the need for combination therapies to effectively combat metastatic melanoma. In early 2009, Dr. Flaherty and his colleague Keiran S Smalley published a mini-review on potential strategies for developing such combination therapies.

Tuesday, March 2, 2010

Bringing targeted therapy of metastatic melanoma into the clinic--the crucial role of translational researchers

During the week of February 22, 2010, the New York Times (NYT) ran a three-part series on a Phase I trial in 2008/2009 of a targeted therapy for metastatic melanoma, a disease that is almost always fatal within a year. The trial was led by Keith T. Flaherty, M.D. (then at the University of Pennsylvania in Philadelphia, and now at the Dana-Farber Cancer Center in Boston). The drug was PLX4032, developed by Plexxikon, which is co-developing the compound with Roche. PLX4032 is a kinase inhibitor, which specifically targets the V600E mutant of the B-Raf oncoprotein. This is the most common somatic mutation found in human melanomas. Researchers believe that B-Raf(V600E) is a “driver mutation” that is particularly critical for the malignant phenotype of human metastatic melanomas that carry the mutation. PLX4032 entered Phase III clinical trials in 2009.

The NYT series, authored by Amy Harmon, focused on the stories of several patients, and on the dogged efforts of Dr. Flaherty to help his patients and to prove the value of targeted therapy. Although the targeted kinase inhibitor imatinib (Novartis’ Gleevec/Glivec) produces complete responses in the majority of treated patients in the chronic phase of CML (chronic myelogenous leukemia) and long-lasting remissions in many of these patients, many researchers believe that this is a special case, and they cite evidence that targeted therapy, especially in solid tumors, almost never produces durable responses. But Dr. Flaherty pressed on with his quest to prove the value of targeted therapy, despite this skepticism.

A key point in the story was when the original formulation of PLX4032, at the highest dose that patients could absorb, produced neither adverse effects nor clinical responses. Because of his belief in targeted therapy, and in this particular drug, Dr. Flaherty convinced Roche to reformulate the drug to enable patients to absorb a higher dose. With the higher doses of the drug made possible by the new formulation, the researchers saw dramatic clinical responses in the great majority of patients whose tumors contained B-Raf(V600E). Responses lasted an average of nearly 9 months, a dramatic breakthrough in treatment of metastatic melanoma.

As the series ended, Dr. Flaherty was working with his colleagues and the pharmaceutical industry to find ways to enable the testing of combination therapies of targeted drugs (including PLX4032) that might result in long-lasting remissions in patients with metastatic melanoma. Meanwhile, Plexxikon and Roche have taken PLX4032 into Phase II clinical trials and now into Phase III.

The NYT series is essentially a human-interest story. I commend it to all researchers, executives, and consultants in the industry whose work does not involve contact with patients, since creating products that can help patients is what our work is all about.

Dr. Flaherty reminds me, and others who have commented on this story, of Brian J. Druker, M.D. at the Oregon Health Sciences University in Portland. It was Dr. Druker’s efforts, centered on helping patients and proving the value of targeted therapy, that was the driving force behind the development of imatinib (Novartis’ Gleevec/Glivec). Without this effort (conducted in collaboration with biochemist Nicholas B. Lydon, then at Novartis), the whole field of kinase inhibitors for targeted therapy of cancer would not have emerged. Dr. Flaherty, as well as several other oncologists, is continuing this worthy tradition.

As pointed out to me by a leading Boston-area academic researcher in a cancer-related area, the NYT series did not give credit to the academic researchers who identified the role of B-Raf in cancer, and especially the role of B-Raf(V600E) in human melanoma. (For that matter, it did not credit the Plexxicon researchers who discovered PLX4032.) She said that the series sounded as if only one person, Dr. Flaherty, was responsible for the development of PLX4032. Moreover, the development of imatinib was made possible by decades of academic research on the target of the drug, Bcr-Abl, a fusion protein formed as the result of a chromosomal translocation. Drs. Druker and Lydon thus were not solely responsible for the development of imatinib either.

The academic researcher has a point. However, some industry commentators take a contrary point of view, downplaying the role of academic researchers in the drug discovery/development process and giving most of the credit to industry.

For years, we have taken the point of view that biology-driven drug discovery and development (arguably the most successful drug discovery/development strategy in the post-genomic era) requires the contributions of both academia and industry, and that more effective collaboration between academia and industry would result in more effective drug discovery and development. (See also my 2005 letter to the editor of BusinessWeek.)

It is basic research, usually in academic laboratories, that has resulted in the very best validated targets. Basic research on a particular target typically takes years or even decades (as in the case of Bcr-Abl). Many of the breakthrough drugs that have emerged in the past 10-15 years (as well as numerous promising pipeline drugs now in clinical testing) were made possible by this research. In contrast, large-scale “target validation” testing in industry more often than not results in targets whose role in normal physiology and in disease is poorly understood. This is an important cause of clinical attrition in drug development.

Nevertheless, it is industry, not academia, which uses this basic research to create drugs. In particular, it is industry that bears the enormous economic risk of drug development, especially of late-stage clinical trials.

Translational researchers, who are involved in taking the results of academic research and/or of discovery research in industry, and translating them into therapies that benefit patients, are—or should be—a key component of the drug discovery-development process. Drs. Druker and Flaherty are two outstanding examples.

However, at least some sectors of academia (and of governmental policy-makers and the media) are suspicious of the type of closer industry-academic collaboration that is needed to produce more effective translation of basic and drug-discovery research into the clinic. An editorial in the 25 February issue of Nature notes that there has been criticism of the recent hiring of William Chin, Lilly’s senior VP for discovery and clinical research, to be the executive dean for research at Harvard Medical School. The critics charge that strong research collaborations between academia and industry will inevitably result in conflicts of interest. The Nature editorial supports institutional policies that require disclosure of links between academic researchers and industry, but deplores the views of influential critics who believe that any collaboration between academic researchers and industry “corrupts” the academic research enterprise.

In addition to Nature, some leading academic researchers say that it is time for industry and the academic medical community to fight back against the critics, rather than appeasing them with ever more restrictive conflict-of-interest policies. These researchers note that the main purpose of medical research is not to publish scientific papers, but to translate this knowledge into therapies that benefit patients. This requires effective collaboration between academia and industry. We agree.

Friday, February 19, 2010

Across-the-board R&D cuts will not solve the pharmaceutical industry’s productivity crisis

The big topic in pharmaceutical news lately has been layoffs, including layoffs due to major cuts in R&D. For example, the popular pharmaceutical industry blog “In the Pipeline” has had one story after another, in late 2009 and early 2010, about R&D cutbacks, including many comments from people affected by the reductions in staff. Such companies as Pfizer, GlaxoSmithKline (GSK), AstraZeneca, Sanofi-Aventis, and most recently Merck have been affected.

Layoffs, and cuts in R&D, were expected in companies that underwent big mergers in 2009, especially Pfizer/Wyeth and Merck/Schering-Plough. Much of the value of large-scale mergers to shareholders is realized by cost savings due to restructurings (especially elimination of redundancies between the two merging companies) and reductions in staff.

The more fundamental reason that motivates large pharmaceutical companies to enter into big mergers and/or to undertake restructurings that include reductions in R&D programs and in staff is the need to deal with the combination of major challenges facing the industry, which some experts have called a “perfect storm”. The most important of these challenges are low R&D productivity, increasing R&D costs, and expirations of patents of blockbuster drugs.

From the point of view of a financial analyst, the move to cut internal pharmaceutical R&D is a matter of “sheer economics”. Putting more and more money into R&D without any increase in numbers of high-valued new drugs, especially in the face of patent expiries, is a losing proposition. Why not then cut internal R&D, and concentrate on in-licensing pipeline drugs from biotech companies? In-licensed drugs, and drugs developed by smaller pharmaceutical and biotech companies, have shown a higher rate of success in development (measured in terms of percentage of drugs entering clinical trials that reach the market) than drugs developed internally by large pharmaceutical companies.

The problem with this line of reasoning is that we’ve been here before. Big Pharma went through a previous wave of large-scale mergers and restructurings in the late 1990s and early 2000s. These megamergers and restructurings enabled the surviving companies to realize significant cost savings from staff reductions, and in some cases enabled them to acquire blockbuster drugs (notably Pfizer’s acquisitions of Lipitor [atorvastatin] and Celebrex [celecoxib]). However, these gains were temporary, since the industry faced an even worse set of threats in the 2008-2010 period than it faced in 1997-2003. And the disruptions in R&D staffs and programs caused by these moves contributed to a reduction of the capacity of merged or restructured companies to carry out productive R&D.

Moreover, the move toward a strategy of depending more on in-licensing of pipeline drugs from smaller companies (or acquiring the companies outright) comes at a very bad time. The financial crisis of 2008-2009 resulted in a virtual drying up of venture capital investment in private biotech companies (especially start-ups), and in the inability of development stage private and public biotech companies to raise funds in the capital markets. In the resulting cash crunch, many biotech companies ceased work on all but their most advanced pipeline drugs, and laid off large numbers of their researchers.

For example, here in the Boston area, Dyax, then a development-stage public company, adopted cash-conserving measures in 2009. It stopped early-stage research on internal (as opposed to partnered) drug candidates, and laid off 36% of its staff. It also sold its shares at low prices in the public markets to raise what cash it could. On December 1, 2009, the FDA approved Dyax’ lead drug, the plasma kallikrein inhibitor ecallantide (Kalbitor) for the treatment of hereditary edema, a rare genetic disorder. The FDA approval process had not been easy (for example, Dyax received a “complete response” letter from the FDA last year). Other development stage biotech companies have not been as fortunate, and venture capital for start-up companies (such as spin-offs of university laboratories) has been very hard to come by.

Unless large pharmaceutical companies are prepared to serve as venture capitalists on a much larger scale than they are currently doing, and to invest in earlier-stage, riskier companies and drug candidates, they may be competing for fewer and fewer good in-licensing opportunities. This will result in bidding up the prices for what opportunities exist, and a dearth of drug candidates for pharmaceutical companies to develop. The venture capital market for early-stage biotechs appears to be easing somewhat, and a few companies (some of which have been discussed in this blog) have managed to obtain funding. However, much uncertainty remains.

Moreover, large pharmaceutical companies will need to have internal researchers (or consultants) who are competent to evaluate in-licensing candidates, and internal researchers who can collaborate with their smaller licensing partners. One critical area for such collaboration is translational medicine, in order to predict the outcomes of treatment with in-licensed drug candidates and to increase the probability of clinical success.

The real issue is that the pharmaceutical industry cannot use mergers, restructurings, across-the-board R&D cuts, and layoffs to solve its productivity crisis, except in the short term. It has to work on the actual problem—how to increase the productivity of R&D.

We recently authored two publications that analyzed the nature of the R&D productivity problem, and which outlined solutions. These are an article, “Overcoming Phase II Attrition Problem”, published in Genetic Engineering News (GEN) and available free on our website, and a book-length report, Approaches to Reducing Phase II Attrition, available from Cambridge Healthtech Institute (CHI). In summary, we proposed a two-part strategy to increase rate of success in drug development:
  • Identify those targets and drugs that have the best chance of success in the discovery phase, mainly via focusing on biology-driven drug discovery (i.e., strategies based on understanding of disease mechanisms).
  • Employ early stage proof-of-concept (POC) clinical trials to weed out drugs and targets that do not achieve POC.
With respect to this strategy, it is interesting that two large pharmaceutical companies, the Swiss pharmaceutical giants Novartis and Roche, are not emphasizing layoffs and R&D cuts. Both have biology-driven R&D strategies.

In a recent Reuters article entitled “Killing research no certain cure for Big Pharma”, Novartis’ chairman and former CEO Daniel Vasella is quoted as saying, "You can improve margin up to self-dissolution. You save and you save and you cut costs and cut costs -- and then you have no sales anymore and then you have a collapse."

We have discussed Novartis’ R&D strategy in several articles on this blog, notably our July 20, 2009 article “Biology-driven drug discovery: a ‘disruptive innovation’?”

Roche came by its biology-driven R&D strategy via its 2009 acquisition of Genentech. As we also noted in our July 20 blog post, Roche has been integrating itself with Genentech to become essentially a large biotech company.

In striking contrast to his colleagues in most Big Pharma companies, Roche’s CEO Severin Schwan is optimistic about the future of drug discovery and development in the pharmaceutical industry. He believes that the industry is “poised for a quantum leap into a golden age”, because of continuing discoveries in disease pathways that will enable researchers to design targeted drugs to address unmet medical needs. Roche has no plans to diversify into generics, over-the-counter drugs, or vaccines, as other Big Pharmas have been doing in order to mitigate the lack of high-valued new products coming from their R&D operations.

In addition to overall reductions in R&D and shifting toward greater reliance on in-licensing of drugs, some Big Pharma companies have been taking other, more selective measures in their attempts to cut R&D costs and improve R&D performance. One approach has been to get out of therapeutic areas that are no longer productive for a particular company, and to focus on more promising areas. For example, GSK is eliminating its R&D in depression, anxiety, and pain, and focusing its neuroscience efforts on neurodegenerative diseases such as Alzheimer’s and Parkinson’s disease. It is also building a new R&D unit that will focus on rare diseases. These seem to be sensible moves.

With respect to rare diseases, in addition to adopting the “Genzyme strategy” (which seems to be GSK’s main goal), some rare diseases share pathways with more common diseases. As discussed in our July 20 blog post, Novartis has been developing drugs that address these common pathways, beginning with the rare disease and then expanding to the more common diseases.

Another strategic move by several Big Pharma companies is to shift away from small-molecule drugs toward a greater emphasis on biologics. Biologics have shown a higher rate of success in development than small-molecule drugs. However, kinase inhibitors also have shown a higher success rate than other oncology agents that have entered clinical trials in the last 15 years. As with biologics, kinase inhibitors have been developed via biology-driven drug discovery, resulting in much stronger clinical hypotheses for the mechanisms of action of these drugs. Might not shifting toward biology-driven R&D strategies, rather than just shifting toward biologics, enable companies to improve their R&D productivity, both for small-molecule and large-molecule drugs?

Shifting toward biology-driven R&D strategies should also enable companies to reduce R&D costs, by reducing reliance on the costly and unproductive technology-driven “industrialized drug discovery” approach. However, unlike across-the-board R&D cuts, this more selective approach should result in improved R&D productivity.

Wednesday, February 10, 2010

Update on anti-aging biology, sirtuins, and Sirtris/GlaxoSmithKline

On November 8, 2009, we posted an article entitled “Anti-aging biology: new basic research, drug development, and organizational strategy" on this blog. This article focused on new findings in anti-aging biology, their applications to drug discovery and development, and on how this field has affected the organizational strategy of GlaxoSmithKline (GSK).

GSK acquired Sirtris for $720 million in 2008. Later that year, GSK appointed Christoph Westphal, the CEO and co-founder of Sirtris, as the Senior Vice President of GSK’s Centre of Excellence in External Drug Discovery (CEEDD). The CEEDD works to develop external alliances with biotech companies, with the goal of acquiring promising new drug candidates for GSK’s pipeline. Michelle Dipp, who was the vice president of business development at Sirtris at the time of GSK’s appointment of Dr. Wesphal, became Vice President and the head of the US CEEDD at GSK. Thus GSK has been using its relationship with Sirtris to restructure its organizational strategy, attempting to become more “biotech-like” in order to improve its R&D performance.

Now we learn that several research groups and companies have been questioning whether resveratrol (a natural product derived from red wine which has been the basis of Sirtris’ sirtuin-activator platform), as well as Sirtris’ second-generation compounds, may not modulate the sirtuin SIRT1 at all. Thanks to Derek Lowe’s “In the Pipeline” blog for the information. This issue was also covered in a second post on the same blog. It was also covered by articles in the 15 January 2010 issue of New Scientist and in the January 26, 2010 issue of Forbes. Nature also covered this story in an online news article.

In a report published in December 2009, researchers at Amgen found evidence that the apparent in vitro activation of SIRT1 was an artifact of the experimental method used by Sirtris researchers. The Amgen group found that the fluorescent SIRT1 peptide substrate used in the Sirtris assay is a substrate for SIRT1, but in the absence of the covalently linked fluorophore, the peptide is not a SIRT1 substrate. Although resveratrol appears to be an activator of SIRT1 if the artificial fluorophore-conjugted substrate is used, resveratrol does not activate SIRT1 in vitro as determined by assays using two other non-fluorescently-labeled substrates.

More recently, researchers at Pfizer published a study of SIRT1 activation by resveratrol and three of Sirtris’ second-generation sirtuin activators (which the Pfizer researchers synthesized themselves, using published protocols). These researchers also found that although these compounds activated SIRT1 when a fluorophore-bearing peptide substrate was used, they were not SIRT1 activators in in vitro assays using native peptide or protein substrates. The Pfizer researchers also found that the Sirtris compounds interact directly with the fluorophore-conjugated peptide, but not with native peptide substrates.

Moreover, the Pfizer researchers were not able to replicate Sirtris’ in vivo studies of its compounds. Specifically, when the Pfizer researchers tested SRT1720 in a mouse model of obese diabetes, a 30 mg/kg dose of the compound failed to improve blood glucose levels, and the treated mice showed increased food intake and weight gain. A 100 mg/kg dose of SRT1720 was toxic, and resulted in the death of 3 out of 8 mice tested.

The Pfizer researchers also found that the Sirtris compounds interacted with an even greater number of cellular targets (including an assortment of receptors, enzymes, transporters, and ion channels) than resveratrol. For example, SRT1720 showed over 50% inhibition of 38 out of 100 targets tested, while resveratrol only inhibited 7 targets. Only one target, norepinephrine transporter, was inhibited by greater than 50% by all three Sirtris compounds and by resveratrol. Thus the Sirtris compounds have a different target selectivity profile than resveratrol, and all of these compounds exhibit promiscuous targeting.

Sirtris and GSK dispute the findings of the Amgen and Pfizer researchers. One issue raised by Sirtris is that the Sirtris compounds synthesized by Pfizer may have contained impurities, resulting in the toxicity and lack of specificity of the compounds in vivo. Researchers associated with Sirtris and GSK also contend that although the Sirtris compounds only work with fluorophore-conjugated peptides in vitro, they appear to increase the activity of SIRT1 in cells. However, other researchers assert that since resveratrol interacts with many targets in cells, the results of the cellular assays are difficult to interpret. In the Forbes article, GSK’s CEO Andrew Witty is quoted as calling the dispute over the activity of the Sirtris compounds “a bit of a storm in a teacup”. He says that the compounds that Pfizer tested in mice are not the same ones that Sirtris and GSK are currently testing in clinical trials for treatment of diabetes and cancer. (Sirtris’ compounds in clinical trials, discussed in the next paragraph, are in fact different from the ones tested by the Pfizer researchers.)

Currently, Sirtris is testing its proprietary formulation of resveratrol, SRT501, in a Phase IIa clinical trial in cancer. The company reports that SRT501 lowered blood glucose and improved insulin sensitivity in patients with type 2 diabetes in a Phase IIa trial. Sirtris is also testing a second-generation SIRT1 activator, SRT2104, in Phase IIa trials in patients with metabolic, inflammatory and cardiovascular diseases. SRT2104 was found to be safe and well tolerated in Phase I trials in healthy volunteers. Sirtris is also testing another second-generation SIRT1 activator, SRT2379, In Phase I trials. SRT2379 is structurally distinct from resveratrol and from SRT2104.

As we discussed in our original blog post, Elixir Pharmaceuticals is also developing various sirtuin inhibitors and activators for metabolic and neurodegenerative diseases and for cancer. One of Elixir’s products, the SIRT1 inhibitor EX-527, was in-licensed by Siena Biotech (Siena, Italy) in 2009, and was entered into Phase I clinical trials in January 2010. Siena Biotech is developing this compound for treatment of Huntington’s disease.

Despite the dispute over whether Sirtris’ compounds are real SIRT1 activators, the numerous studies on the biology of sirtuins are still valid. Companies with assays that use native peptide substrates and are amenable to high-throughput screening could use these assays to discover novel sirtuin activators. For example, Amgen published a report in 2008 describing such assays. The ability of companies such as Amgen and Pfizer to commercialize such novel sirtuin activators would depend on whether they could overcome the intellectual property position of Sirtris (and Elixir). Since Amgen and Pfizer are working in this area, this indicates that they believe that they can do so.

The efficacy of high doses of resveratrol in improving metabolic parameters of mice fed a high-calorie diet is also not invalidated by the Amgen and Pfizer studies. However these studies cast doubt on the mechanisms by which resveratrol exerts these effects. The apparent efficacy of SRT501 in improving metabolic parameters in patients with type 2 diabetes in a Sirtris Phase IIa trial is consistent with the mouse studies.

Finally, as we discussed in our November 8, 2009 blog post, longevity is controlled by numerous interacting pathways, which may provide at least several targets for drug discovery. Researchers are hard at work to gain additional understanding of these pathways, and some companies are working to discover and develop compounds that modulate these targets. For example, several companies are developing AMPK activators, as discussed in our original blog post. And numerous research groups are reportedly attempting to find drugs that act similarly to rapamycin in increasing lifespan in mice (the main focus of our November blog post), without rapamycin’s immunosuppressive effects.