The 30 September issue of Nature included a major emphasis on translational research in cancer. Featured articles included an editorial, a Perspective, and a research report. There was also an online “Specials” archive on translational cancer research, containing many recent research reports, all with free access to nonsubscribers.
The theme of these articles was the development of novel strategies for accelerating the translation of research on cancer biology into safe and efficacious therapies.
The Perspective, entitled “Translating cancer research into targeted therapeutics”, by British researchers Johann S. de Bono, M.D., Ph.D. and Alan Ashworth, Ph.D., outlines a novel disruptive clinical trial strategy for accelerating the translation of biology-driven oncology drug discovery into the clinic, with an early determination of proof of concept. This new strategy is designed to ameliorate the high levels of Phase 2 and Phase 3 attrition of cancer drugs, as well as to lower the cost of clinical trials and to shorten the time from preclinical studies to the approval and marketing of oncology drugs that successfully emerge from clinical trials. It also is designed to aid in the development of therapies that provide greater patient benefit (in terms of progression-free survival) than the typical new oncology drugs that reach the market.
We have discussed clinical trial strategies of this type in two of our publications–our 2009 book-length report Approaches to Reducing Phase II Attrition (available from Cambridge Healthtech Institute, and our 2009 article published in Genetic Engineering and Biotechnology News, “Overcoming Phase II Attrition Problem” (available on our website). The de Bono and Ashworth article provides a more detailed and specific presentation of this strategy with respect to oncology drug development, and provides several examples of its successful application.
In the traditional Phase 1/Phase 2/Phase 3 format of cancer drug development, clinical studies focus on treating patient populations with advanced cancers that have not been characterized in terms of their genetics and molecular biology. The trials culminate in large, pivotal randomized Phase 3 trials that typically last several years, and are aimed at regulatory approval. In most cases, new drugs that emerge from Phase 3 trials and win approval only improve survival by a few months. Patients who participate in Phase 1 and Phase 2 clinical trials usually derive little or no benefit, and a high proportion of drugs fail in Phase 2 or Phase 3. This clinical trial format determines how well a particular drug or drug combination works for the average patient. However, that treatment might not be the best for a given individual patient.
As basic researchers have advanced the study of molecular genetic pathways of cancer, drug discovery researchers have been developing targeted therapies for cancer. These drugs–such as monoclonal antibodies (MAbs) like trastuzumab (Genentech/Roche’s Herceptin) and kinase inhibitors like imatinib (Novartis’ Gleevec/Glivec) work by modulating specific biomolecules (e.g., overexpressed or mutated oncogenic proteins) that are critical for the malignant phenotype. Population-based clinical trials of unselected patients make little or no sense in developing targeted therapies. Instead, clinical researchers need to first select groups of patients whose cancers express the biomolecule to be targeted, and preferably whose cancers are driven by that particular biomolecule. This way of thinking leads to the formulation of a new clinical trial strategy, as outlined in the Perspective.
Drs. de Bono and Ashworth call this strategy a personalized medicine (or “stratified medicine”) hypothesis-testing approach. The first step in this strategy is to develop a strong biological hypothesis that a particular altered molecular target is critical for the malignant phenotype of a particular cancer. This hypothesis is usually generated as the result of laboratory and clinical studies. Researchers need to show that blocking of the function of the altered target results in a lethal or cytostatic effect in cancer cells that express the the target, but not in normal cells that do not. It is also preferred that resistance to agents that block the target is not easily gained.
In the discovery stage of this strategy, researchers need not only to identify and optimize clinical candidate drugs that modulate the target, but also biomarkers that can be used to identify patients whose tumors express the altered target and are therefore likely to benefit from treatment. These biomarkers are called “enrichment biomarkers”, and have the potential to become predictive biomarkers. (Predictive biomarkers may also be the basis for the development of companion diagnostics). It is also important to identify pharmacodynamic biomarkers (biomarkers that can be used to determine target occupancy by the drug) and intermediate endpoint biomarkers (which can assess antitumor activity of the drug–for example, radiological assessment of tumor regression). Identification and qualification/validation of biomarkers is a work in progress, and is a critical need for further development and utilization of the personalized medicine hypothesis-testing clinical trial strategy.
Once targets and drugs that modulate them have been identified, they must be validated in animal models. The issue of the inadequacy of current mouse models of cancer–mainly xenograft models in which human cancer cell lines are transplanted into immune deficient mice–to predict drug efficacy is important both in the traditional cancer drug development strategy and in the novel strategy discussed in the de Bono and Ashworth article. We have discussed development of improved animal models for cancer drug development in an earlier blog post. de Bono and Ashworth note that there is an urgent need to develop such improved animal models. Nevertheless, as discussed in the de Bono and Ashworth article, there are examples of the successful implementation of the personalized medicine hypothesis-testing strategy of cancer drug development that have used traditional animal models in the preclinical phase.
In the personalized medicine hypothesis-testing strategy, clinical trials have the same three phases as in traditional trials. However, the trials involved stratification of patients using biomarkers, such that clinical studies are done in patients whose tumors express the target of the drug. Trial design is also more flexible and adaptive, and is contingent on obtaining key clinical data. The trials focus on determining the following as early as possible:
- Proof of mechanism: determining a dose range and dosing schedule under which the drug achieves sufficient target occupancy for long enough, using biomarker-based pharmacodynamic assays.
- Proof of concept: Determining that once sufficient target occupant is achieved, the drug exhibits antitumor activity, as determined using intermediate endpoint biomarkers.
In first-in-human clinical trials, in addition to determining safety and tolerability and evaluating pharmacokinetics and pharmacodynamics as in traditional Phase 1 trials, researchers also pursue rapid dose escalation, until proof of mechanism is achieved, using the appropriate biomarkers. Researchers then move on to proof of concept hypothesis testing, at doses and dosing schedules (ideally, the maximum tolerated dose) that are sufficient to address the target for long enough to have a biological effect. Ideally, researchers should move seamlessly from determination of proof-of-mechanism to assessment of antitumor activity, via adaptive trial design and patient selection using enrichment biomarkers.
If the above early-stage strategy results in a strong determination of proof of concept, this provides the basis for moving on to Phase 3 trials in patients selected using enrichment/predictive biomarkers, with the goal of drug registration. Such Phase 3 trials should have a higher probability of success than traditional Phase 3 trials in unselected patient populations, with less than adequate demonstration of proof of concept in Phase 2.
However, in the personalized medicine hypothesis-testing strategy, there is also the need for reiterative translational studies, between the laboratory and the clinic and back to the laboratory. Such studies should be designed as early as possible in clinical development. For example, clinical trials might allow researchers to obtain tumor samples to determine mechanisms of drug resistance. Such studies might form the basis for generating further hypotheses that are relevant to reversing drug resistance, via such means as development of combination therapies or of second-generation drugs.
The personalized medicine hypothesis-testing strategy is a work in progress. However, as we shall discuss in Part 2 of this series, there are examples of its successful implementation. And this strategy provides a means to extend biology-driven drug discovery, arguably the most successful drug discovery strategy of the past decade, into early and mid-stage clinical trials, thus increasing the probability of clinical success.
Nevertheless, it must also be emphasized that our understanding of disease biology (especially cancer biology) is limited, thus limiting our ability to successfully carry out biology-driven drug discovery in all cases. However, as our understanding of disease biology grows–in an incremental manner–as the result of basic research mainly in academic laboratories, we should be able to utilize this research to develop novel, breakthrough treatments via biology-driven drug discovery and personalized medicine hypothesis-testing clinical trials.
In Chapter 7 of our March 2010 book-length report, Animal Models for Therapeutic Strategies (published by Cambridge Healthtech Institute), we discussed recently-developed methods for producing knockout rats. These methods included zinc-finger nuclease (ZFN) genome editing and transposon mutagenesis in cultured spermatogonial stem cells. Our most extensive discussion was of the ZFN editing technology, which was developed by Sangamo BioSciences (Richmond, CA), and is the basis of the knockout rat models marketed by Sigma-Aldrich Advanced Genetic Engineering (SAGE). We also mentioned the SAGE knockout rat platform in an earlier blog post.
In Chapter 7 of our report, we also mentioned that it would now also be possible to construct knockout rats “the good old way”–using the same homologous recombination technology that researchers use to create knockout mice. Drs. Mario R. Capecchi, Martin J. Evans and Oliver Smithies were awarded the Nobel Prize in Physiology or Medicine for 2007 for having developed this technology in the late 1980s. To construct knockout mice, researchers isolate and culture mouse embryonic stem (ES) cells. These are derived from the inner cell masses of preimplantation mouse blastocyst embryos, and grown under particular culture conditions. These cells are subjected to homologous recombination with a vector containing a truncated version of the gene to be targeted, to eventually yield knockout mouse strains.
It has not been possible to develop knockout rats because the conditions for culturing ES cells worked only for a few inbred mouse strains, and not at all for either most mouse strains or for the rat. Conditions for culturing mouse ES cells are complex. They involve the use of feeder fibroblasts and/or the cytokine leukemia inhibitory factor (LIF), together with selected batches of fetal calf serum or bone morphogenetic protein (BMP). These culture conditions had been determined empirically.
In 2008, Dr. Austin Smith (Director of the Wellcome Trust Centre for Stem Cell Research, University of Cambridge [Cambridge, UK]) and his colleagues developed culture conditions that allowed them to culture rat ES cells that were capable of transmitting their genomes to offspring. These ES cells could also be used to produce knockout rats.
Dr. Smith and his colleagues realized that the standard conditions for culturing mouse ES cells expose the cells to inductive stimuli (e.g., fibroblast growth factor 4 [FGF4]), which can activate ES cell commitment and differentiation. The aim of ES cell culture is to expand the cell population while maintaining pluripotency. The researchers therefore cultured rat ES cells with leukemia inhibitory factor (LIF)-expressing mouse fibroblast feeder cells, in a medium containing two or three small-molecule inhibitors of pathways involved in ES cell commitment and differentiation, plus human LIF. (LIF supports proliferation of ES cells in an undifferentiated state.) This medium is known as 2i (for 2-inhibitors) or 3i medium.
Rat ES cells cultured in this manner expressed key molecular markers found in mouse ES cells. They also, when injected into blastocysts, can give rise to chimeric rats; i.e., they transmute their genomes into offspring. Such cultured rat ES cells thus are capable of being used to construct knockout rats.
In the 9 September 2010 issue of Nature, Dr. Qi-Long Ying (University of Southern California, Los Angeles CA) and his colleagues published the first study describing construction of a knockout rat strain via homologous recombination. (Dr. Ying, then at the University of Edinburgh, had been on the team led by Austin Smith that developed culture methods for rat ES cells.) This rat strain is a p53 gene knockout. The researchers designed a targeting vector to disrupt the p53 tumor suppressor gene via homologous recombination; the vector allowed for antibiotic selection for cells that had been successfully targeted. They transfected this vector into rat ES cells cultured in 2i medium, performed the antibiotic selection, and cultured the resistant cells. These cells were shown to have one of their two (since they were diploid) p53 genes disrupted. The researchers were able to routinely generate p53-targeted rat ES cells by this method. They also injected p53-targeted rat ES cells into rat blastocysts, transferred the blastocysts into pseudo-pregnant female rats, and obtained chimeric offspring. However, in the first studies, the p53-targeted rat ES cells exhibited low germline transmission efficiency.
In the mouse system, the failure of cultured ES cells to contribute to the germline is often caused by chromosomal abnormalities in the ES cells. This was also the case with the rat ES cells. In the case of mouse ES cell culture, cells with chromosomal abnormalities have a selective growth advantage over those with normal karyotypes. The smaller, slower-growing mouse ES cell clones tend to have normal karyotypes, and to give improved germline transmission. The researchers therefore subcloned their p53 gene-targeted rat ES cells, and selected for small, slower-growing subclones. These rat ES cell subclones were euploid. When injected into blastocysts, these rat ES cell clones gave rise to chimeric rats that the researchers further bred to generate homozygous p53 gene-targeted (i.e., p53 knockout, or p53 homozygous null) rats.
Using these methods, it should be possible to generate knockout rats for other genes routinely, including sophisticated knockouts such as tissue-specific gene knockouts.
Meanwhile, SAGE has generated p53 knockout rats, using its ZFN technology. As with the original p53 knockout mice, these rats develop normally, but are prone to development of spontaneous tumors. p53 knockout rats generated via homologous recombination should also be susceptible to spontaneous generation of tumors. However, as yet no data has been published. It remains to be seen which of these systems–p53 knockout mice or p53-knockout rats generated via either homologous recombination or ZFN editing, will be most useful in basic cancer research, or in such applications as carcinogenicity screening of compounds.
Why is the ability of researchers to generate knockout rats, as opposed to knockout mice, so important? The anatomy and physiology of the rat is closer to humans than is the mouse. There are also many rat models of complex human diseases (especially cardiovascular and metabolic diseases) that are better disease models than those based on inbred mouse strains. In addition, the larger size of the rat facilitates experimental procedures that involve surgery, getting blood samples for analysis, or isolation of specific cell populations. Researchers usually prefer rats over mice for physiological and nutritional studies, studies of psychiatric diseases, and in cases when a particular rat disease model is more applicable to a project than mouse strains. The rat is also widely used in preclinical efficacy and safety studies.
With respect to models for central nervous system (CNS) diseases, gene-targeted and transgenic rat models may be expected to be better than mouse models. The rat is more intelligent than the mouse, and has a bigger brain. Unlike mice, rats are sociable and easily trained. Moreover, there are some new rat models of cognition, which enable researchers to perform studies that they previously thought could only be done in nonhuman primates. And optogenetics technology, which allows researchers to engineer specific neurons so that their activity can be switched on or off with laser light, in order to dissect the role of these neurons in behavior, is being implemented in rats. These new developments, together with knockout and transgenic technologies, should allow researchers to develop new rat models of psychiatric diseases, as well as of neurodegenerative diseases such as Alzheimer’s and Parkinson’s diseases. The lack of good animal models is a major factor in the high clinical attrition rate of CNS drugs, so new models are needed. There are of course no guarantees that novel rat models will help lower CNS drug attrition rates, but it is well worth trying these new approaches.
As we also discussed in Chapter 7 of Animal Models for Therapeutic Strategies, researchers are also interested in developing animal models based on mammalian species other than the mouse and the rat. We discussed methods for gene targeting by recombinant adeno-associated virus (rAAV) in pigs and ferrets in that chapter. In principle, ZFN editing technology could be also used to generate gene knockouts in mammalian species other than rodents. Moreover, the type of research done in the rat by Austin Smith, Qi-Long Ying, and their colleagues might be applied to developing culture conditions for ES cells of other mammalian species, which could set the stage for developing gene knockouts in these species via homologous recombination.



