Table of contents


In this issue

p95 | doi:10.1038/nrd2258

Editorial: Same old story?

p97 | doi:10.1038/nrd2259

TopTop

Research Highlights

Anticancer drugs: Escaping inhibition | PDF (125 KB)

p111 | doi:10.1038/nrd2253

Angiogenesis: Less is more | PDF (120 KB)

p112 | doi:10.1038/nrd2252

HIV: Rat to the rescue | PDF (101 KB)

p112 | doi:10.1038/nrd2254

Malaria: New drug lead from Madagascar's rainforests | PDF (162 KB)

p113 | doi:10.1038/nrd2256

Stem cells: Ethical sourcing? | PDF (92 KB)

p114 | doi:10.1038/nrd2255

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Perspectives

Opinion

Why is cancer drug discovery so difficult?

Alexander Kamb, Susan Wee & Christoph Lengauer

p115 | doi:10.1038/nrd2155

Oncology has a higher rate of attrition in clinical development than most other therapeutic areas. Lengauer and colleagues discuss the factors responsible, and suggest strategies to improve the chances of short-term success in the development of novel anticancer drugs.

Preclinical safety testing of monoclonal antibodies: the significance of species relevance

Kathryn Chapman, Nick Pullen, Mark Graham & Ian Ragan

p120 | doi:10.1038/nrd2242

The therapeutic success of monoclonal antibodies has led to a steep rise in the use of non-human primates for preclinical safety testing. Chapman and colleagues report from a recent workshop on this topic, and discuss the economic, scientific and ethical questions raised by this development.

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Reviews

Drug discovery for heart failure: a new era or the end of the pipeline?

David M. Kaye & Henry Krum

p127 | doi:10.1038/nrd2219

There is a major need for better therapies for many patients with heart failure, but late-stage clinical failures of several potential drugs have reduced the impetus of drug development in this field. Kaye and Krum review emerging agents and molecular targets for heart failure, and highlight key issues that need to be addressed to improve the chances of successfully developing new drugs.

Simulation and prediction of in vivo drug metabolism in human populations from in vitro data

Amin Rostami-Hodjegan & Geoffrey T. Tucker

p140 | doi:10.1038/nrd2173

Being able to predict the individual effects of drugs on different patients in a population could lead to safer, more effective medicines. The authors discuss the development of algorithms that could enable the testing of drugs in virtual patient populations based on in vitro data.

New therapeutic strategies for the treatment of acute lymphoblastic leukaemia

Ching-Hon Pui & Sima Jeha

p149 | doi:10.1038/nrd2240

New therapeutic strategies are needed to improve the cure rate and quality of life in patients with acute lymphoblastic leukaemia. In this Review, Pui and Jeha discuss emerging new treatments that could improve the clinical outcome for these patients.

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Careers and Recruitment

Benchside to business

p167 | doi:10.1038/nrd2244

Corrigendum: Avoiding premature licensing

Mark Kessel & Sam Hall

| doi:10.1038/nrd2260

Corrigendum: Drugs, their targets and the nature and number of drug targets

Peter Imming, Christian Sinning & Achim Meyer

| doi:10.1038/nrd2261

Corrigendum: Discovery and development of sorafenib: a multikinase inhibitor for treating cancer

Scott Wilhelm, Christopher Carter, Mark Lynch, Timothy Lowinger, Jacques Dumas, Roger A. Smith, Brian Schwartz, Ronit Simantov & Susan Kelley

| doi:10.1038/nrd2262

Corrigendum: Multi-targeting by monotherapeutic antibacterials

Lynn L. Silver

| doi:10.1038/nrd2263

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