References were identified by a systematic review and electronic search of PubMed, supplemented by a manual search of reference lists. The terms “cancer stem cell”, “tumor initiating cell”, and “therapy resistance” were combined with “breast cancer”, “colorectal cancer”, “lung cancer”, and “brain tumor”. Only reports published in English after Jan 1, 1950, were included.
Personal ViewThe developing cancer stem-cell model: clinical challenges and opportunities
Introduction
In recent years, the cancer stem-cell (CSC) theory of malignancies has received much attention. Although the idea that malignancies depend on a small population of stem-like cells for proliferation has been around for more than a century, technical developments only in the past few decades made it possible to strengthen these speculations with experimental data.1 An important reason for the widespread interest in the CSC model is that it can comprehensibly explain essential, poorly understood clinical events, such as therapy resistance, minimal residual disease, and tumour recurrence. In many cases, however, the initial explanatory power of the CSC model has waned as novel data challenge and redefine the CSC concept. The original, somewhat rigid interpretation of the model presents malignancy as a hierarchically organised tissue with a CSC population at the top that generates the more differentiated bulk of the tumour cells (figure 1A).2 In this model, the differentiated tumour cells have lost their clonogenic capacity and only the CSCs contribute to the expansion and long-term progression of the malignancy. This model suggests that CSCs should be the target for successful therapeutic intervention. Unfortunately, CSCs seem to be more resistant than differentiated tumour cells to most of the common therapies,3, 4, 5, 6, 7, 8 which could explain therapeutic failure; the applied drug effectively kills most of the differentiated tumour cells, resulting in tumour shrinkage, yet the CSCs are relatively unharmed and reside in the fibrotic tissue that remains from the initial tumour bulk. After therapy is discontinued, the highly tumorigenic CSCs resume growth, which clinically manifests itself as a relapse. With this in mind, many researchers were convinced that specific and effective targeting of the CSC population could cure the patient. Crucially, this assumption relies on the idea that the CSC population is stable over time, and that CSC features are intrinsic qualities that cannot be attained by differentiated tumour cells. However, novel data, from our group and several others, suggest that this is not the case.9, 10, 11, 12 The CSC phenotype is much more fluid than anticipated and is strongly regulated by the tumour-cell environment. We refer to this concept as the dynamic CSC model (figure 1B); this nuanced view of the nature of CSCs might settle much of the dispute between those who view CSCs as a factual entity and those who consider them an illusion. Additionally, this notion directly affects the design of novel therapies aimed at targeting the CSC population. In any case, research into the CSC concept has substantially expanded our knowledge of the biology of malignancies, including response to therapeutic interventions. These insights will have an effect on clinical oncology in the near future. In this Personal View, we highlight the latest developments in CSC research and discuss the implications for clinical oncology; these mainly relate to identification of novel targets to overcome therapy resistance, and improved setups for clinical trials that take into account the efficacy of interventions on the CSC compartment.
Section snippets
Identification
Malignancies have been known for many decades to be highly heterogeneous tissues.13, 14, 15, 16 Cancer cells differ in morphology, marker expression, proliferative potential, and therapy resistance. Crucially, they also differ in their capacity for long-term replication and tumorigenicity. This is shown by isolating various tumour-cell populations, based on cell-surface marker expression, and injecting them into immune-deficient mice. In several instances, tumour induction was most successful
Therapy resistance
Therapy resistance after an initial seemingly successful treatment is common and is usually explained by the presence of a resistant subpopulation of cells. In most cases, it is assumed, this resistance is a clonal trait and mediated by an acquired mutation. For example, imatinib resistance in chronic myeloid leukaemia (CML) results from additional mutations in the BCR-ABL fusion gene that frequently underlies this disease.48 These resistance-conveying mutations are located within the genetic
RECIST criteria
Clinical testing of novel anticancer drugs develops through several phases. In phase 1 the safety of the drug is assessed, and phase 2 studies aim to provide a proof of principle in patients with late-stage disease who have typically been exposed to extensive pretreatment schedules. In phase 3, the superiority of the novel drug against the prevailing standard is tested in randomised controlled trials. In oncology, most drugs (around 70%) do not make it from phase 2 to 3, in many cases because
Conclusion
This Personal View describes how the CSC concept has developed from a rigid hierarchic model, with a fixed population of stem cells, towards a more nuanced view in which the CSC population is flexible and regulated by the environment. The latter dynamic view explains why drugs specifically aimed at the CSC population are most likely insufficient as anticancer drugs. Still, the CSC theory provides a framework for development of anticancer drugs and ways to assess their efficacy in clinical
Search strategy and selection criteria
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