THE HANDSTAND | april 2005 |
|||
The Institute of Science in Society General Enquiries sam@i-sis.org.uk Website/Mailing List press-release@i-sis.org.uk ISIS Director m.w.ho@i- sis.org.uk
ISIS Press Release 21/03/05Gene gold turning to dust?No Biotech Revolution in SightGovernments are sinking further billions into genomics and related research but a new study finds no sign of revolution in healthcare Dr. Mae-Wan Ho The sources for this article are posted on ISIS members website. Details here What revolution?Over the past decade, consultants, policy makers, academics and industrialists have united in telling the world how biotechnology, and genomics in particular, are "revolutionizing" drug discovery and bringing about radical changes in healthcare involving predictive and even personalized medicine. These euphoric expectations underpin science and technology policy not only in the rich countries of the OECD and the European Union, but also some of the less rich countries such as Malaysia (see "Biotech fever grips Asia" SiS 16). UKs Prime Minister Tony
Blair had described the human genome map as "a
revolution in medical science whose implications far
surpass even the discovery of antibiotics"; and said
his government had made available an extra £100 million
in 2003 to speed the introduction of new drugs, and would
boost investment in research. The tens of billions invested produced only a handful of useful drugs over the past 20 years; and despite a 10-fold increase in research spending worldwide, the total number of new drugs has remained virtually unchanged. The "breakthroughs" that werentThe scientific "breakthroughs" have been equally disappointing: Dolly the cloned sheep was supposed to bring identical "elite herds" as bio-factories for pharmaceuticals; but the cloning process proved extremely difficult. Dolly became seriously ill and had to be put down, extinguishing any hope of animal pharming (see "Animal pharm folds" SiS 19). Dollys creator Ian Wilmut gave up cloning animals (see "Death sentence on cloning", SiS 19). He applied instead to the Human Fertilisation and Embryology Authority (HFEA) and was awarded a licence to clone human embryos for stem cells research, holding out hope of curing diseases by embryonic stem cell transplant. But there is little moral or scientific justification for such therapeutic human cloning, especially given the technical difficulties of the cloning process and the known risks in using embryonic stem cells for transplant, in contrast with the proven successes and promise of adult stem cells that can easily be obtained from patients requiring the transplant (see "Human cloning & the stem cell debate", SiS 16). The clinical successes of the patients own adult stem cells have been amply confirmed recently (see "Which stem cells" series, SiS 25), at the same time that the technical, economic, safety and ethical concerns over embryonic stem cell have multiplied (see "No case for human embryonic stem cells research", SiS 25). Gene therapy has yet to cure any person of major genetic disorders such as cystic fibrosis or sickle cell anaemia. To-date, nine children with X-linked severe combined immune deficiency had apparently been successfully treated, by re-implanting the patients bone marrow cells that were genetically modified in the lab. But three of the treated children have developed leukaemia; and the full risks of gene therapy are coming to light. Gene therapy vectors provoke immune reactions that target viral gene products, transgene products as well as plasmid DNA (see "Gene therapy woes" this series). It was an acute immune reaction that killed a healthy teenage volunteer in a gene therapy clinical trial in 1999 (see "Failures of gene therapy", SiS 16). Five years later, serious safety concerns have emerged over a new gene therapy technique hailed as a breakthrough in 2002 (see "Controversy over gene therapy breakthrough", this series). Mapping the human genome and the enormous expansion in bio-informatics brought little in the way of miracle cures or wonder drugs. In October 2004, another draft of the human genome map was announced; and we are told it is only "the end of the beginning". But even that is not certain; for the new genome map, though much improved in accuracy, is still not complete. The finishing procedure roughly doubled the total time and cost of the human genome project. And a lot more investment is necessary to really bring about the revolution in healthcare. Health genomics is indeed in danger of being the "financial and scientific black hole" I had predicted five years ago. Facing the stark evidencePaul Nightingale from the Science Policy Research Unit, University of Sussex, and Paul Martin from the Institute for the Study of Biorisks and Society, Nottingham, looked at relevant indicators that might support the idea of there being a biotechnology revolution. The explosive increase of scientific publications in genomics between 1978-2002 clearly indicated a major, and possibly revolutionary, change in some of the scientific inputs that may lead to drug discovery. But data from the US Patent Office (USPTO) in the same period showed only a steady rise in the number of patented compounds. Patenting increased approximately seven-fold, while R and D spending increased roughly ten-fold. So, even if one takes into consideration the expected lag of 48 years between R and D investments and patenting, there is no evidence of dramatic improvement in drug discovery. On the contrary, there is a decline in R and D productivity as measured by the number of patents per dollar spent on R and D, and hence, a possible decline in research productivity, at least in the short term. Several other indicators followed the same trend.The number of drugs approved by the FDA in the period 19832003 showed an increase until the mid 1990s, followed by a sharp decline, so that roughly the same number of drugs was approved in 2002 as two decades earlier. Set against the substantial increase in R and D expenditure that took place between 1970 and 1992 (i.e. allowing for the 812 year lag between research investment and new product launches) there is further evidence of a decrease in productivity rather than the revolutionary increase we have been told to expect. In terms of therapeutic proteins and antibodies that have reached the market since 1980 and sold more than $500m a year in 2002 and 2003, there are only 12 recombinant therapeutic proteins and three monoclonal antibodies. Moreover, three of the therapeutic proteins were already characterized in 1980, with biotechnology simply leading to new production techniques. Other researchers in Edinburgh University and the Open University using data that evaluate the performance of new drugs, found only 16 drugs evaluated between January 1986 and April 2004 that were better than minimal improvements over pre- existing treatments. In short, the evidence provides no support for a biotechnology revolution. The biotechnology bubble"The emergence of the biotechnology industry has rested heavily on the creation of these high hopes and many people in the sector have been active in promoting the idea of a biotech revolution." Nightingale and Martin wrote, "Management consultants, financial analysts and venture capitalists all clearly have a vested interest in hyping new technologies. Similarly, the promise of a biotechnology revolution provides government policy makers with simple, but as our analysis suggests, probably ineffective ways of promoting regional development, improved healthcare delivery and economic growth." Nightingale and Martin continued: "Unrealistic expectations are dangerous as they lead to poor investment decisions, misplaced hope, and distorted priorities, and can distract us from acting on the knowledge we already have about the prevention of illness and disease." We remain caught in the
biotechnology bubble created around the scientific myth
of genetic determinism that was untenable even before the
human genome was mapped, and thoroughly exposed as such
since then. The vast domains of complexity that connects
the genome to the rich tapestry of life are refusing to
yield to mechanistic analysis ("Biotech wonder tool
in disarray", this series). But the scientific
establishment and our policy-makers lack the moral and
intellectual courage to admit that to themselves or to
the public. So, governments continue to sink billions of
taxpayers money into raising false hopes of gene
therapy and personalized medicine and putting society at
risk from eugenics. This money can be much more
effectively invested instead to address the real causes
of ill-health, which are overwhelmingly social and
environmental ("Why genomics wont
deliver", this series). ISIS Press Release 23/03/05Biotech Wonder Tool in DisarrayDNA sequence information cant predict the rich tapestry of life, and researchers are turning to analysing downstream processes using the biotech microarray wonder tool, only to end in disarray Dr. Mae-Wan Ho Sources for this article are posted on ISIS members website. Details here Gene microarray studies (Box 1) have been growing exponentially since the mid-1990s. By 2003, thousands of studies were carried out; but that was when things started to unravel.
Margaret Cam, director of DNA Microarray Core at the National Institute of Diabetes and Digestive and Kidney Diseases wanted to use microarrays to study gene expression in pancreas cells. She and her research team used the same RNA samples on DNA microarrays from 3 leading suppliers: Affymetrix, Agilent, and Amersham, and got wildly discordant results. Out of 185 genes common to all three arrays, the expression pattern of only 4 genes agreed with one another. In other words, the noise level could be as high as 98%. The results were in Nucleic Acids Research in 2003. Marc Salit, a physical chemist at the National Institute of Standards and Technology said Cams findings caused "ones jaw to drop". Hers was not the first paper to find such inconsistencies. A few ex-enthusiasts think that the promise of gene arrays may have been oversold, especially for diagnostics. Richard Klausner, former director of the National Cancer Institute, now at the Bill and Melinda Gates Foundation in Seattle, Washington, admitted to having been "naïve" to think that new hypothesis about disease would emerge spontaneously from huge files of gene-expression data. The more data he gathered on kidney tumour cells, the less significant they became. Each company used different short DNA sequence probes spotted onto the array; and they were not telling what exactly these sequences were, so each sequence could be picking up different genes. Supposedly different probes were responding to pieces of the same gene. Targeting different parts of the same gene can be a problem because genes contain many components that can be spliced into variant mRNAs. The probes have not been designed to be specific to gene-splice variants, and no one has even created a master list of variants for any gene. Another confounding factor is promiscuous matches. Probes often respond not only to gene products that exactly fit the sequence but also to those that cross-hybridize with near matches. Moreover, many probes dont correspond to the annotated sequences in the public database. The results from several high-profile papers have already proved difficult to reproduce. Statistician Ulrich Mansmann and his team in the University of Heidelberg pointed out that a series of papers published in high prestige journals like Nature, NEJM, and The Lancet base their impressive results on ad hoc methods, so it is nearly impossible to assess the quality of the studies. They referred to microarray studies as "a methodological wasteland". "So, despite considerable hype, the published studies are far from the level of evidence that would be accepted for virtually any other medical test." Said the senior editors of PloS Medicine, one of whom, Virginia Barbour is on the advisory board of the Microarray Gene Expression Data Society. The problem doesnt end there. Many aspects of modulation and regulation of cellular activity cannot be investigated on the level of DNA or RNA transcripts, but require analysis of the proteome (complete profile of proteins). So microarrays of antibodies to proteins have already been contemplated. Several studies in yeast and higher organisms demonstrated a poor correlation between mRNA and protein, due to a number of additional processes such as posttranscriptional control of protein translation, post-translational modification of proteins, and protein degradation. The current estimate is that there are more than 200 types of protein modification; and that 5-10% of the mammalian genes code for proteins that modify other proteins. Consequently, the human proteome is expected to range from 100 000 to several million different protein molecules, in striking contrast to the small number of genes. Furthermore, no function is known for more than 75% of the predicted proteins of multicellular organisms, and the dynamic range of protein expression can be as large as 107. "Knowledge of genomic sequences and transcriptional profiles do not allow a reliable description of actual protein expression, let alone an examination of protein-protein interaction or prediction of the proteins biochemical activities." Said Wlad Kusnezow and Jörg Hoheisel of Functional Genome Analysis in Heidelberg, Germany.
|