Considerations in the development of circulating tumor cell technology for clinical use.

This manuscript summarizes current thinking on the value and promise of evolving circulating tumor cell (CTC) technologies for cancer patient diagnosis, prognosis, and response to therapy, as well as accelerating oncologic drug development. Moving forward requires the application of the classic steps in biomarker development-analytical and clinical validation and clinical qualification for specific contexts of use. To that end, this review describes methods for interactive comparisons of proprietary new technologies, clinical trial designs, a clinical validation qualification strategy, and an approach for effectively carrying out this work through a public-private partnership that includes test developers, drug developers, clinical trialists, the US Food & Drug Administration (FDA) and the US National Cancer Institute (NCI).

Soft tissue sarcomas of adults: state of the translational science.

Sarcomas--like leukemias, which are also mesodermal malignancies--carry biological significance disproportionate to their clinical frequency. Identification of mutations and translocations associated with these tumors has illuminated aberrant signaling pathways that cause these diseases, determine their behavior, and are therapeutic targets. Activated receptor-associated tyrosine kinase c-kit, mutated in most gastrointestinal stromal tumors, has proven a clinically effective target for enzyme inhibition. A translocation involving a single gene family, consisting of EWS and related genes, has been identified in five different sarcomas, and its chimeric protein products could prove similarly amenable to inhibitors. Resolution of the histopathological complexity is being aided by data from molecular and chromosomal characterization. Improvements in imaging, definition of prognostic factors, and surgical and radiotherapeutic treatment have resulted in improved local control. Continued progress will depend on further adapting the rapidly evolving technologies of genomics and proteomics. It will also depend upon accurate histopathological diagnosis based on validated reagents and consistent methodologies applied to adequate tissue samples derived from patients with complete clinical data. Finally, multicenter, coordinated trials, such as those that occurred with assessment of imatinib mesylate in metastatic gastrointestinal stromal tumors, will assure the most rapid reductions in morbidity and mortality.

Evidence of clinical utility: an unmet need in molecular diagnostics for patients with cancer.

This article defines and describes best practices for the academic and business community to generate evidence of clinical utility for cancer molecular diagnostic assays. Beyond analytical and clinical validation, successful demonstration of clinical utility involves developing sufficient evidence to demonstrate that a diagnostic test results in an improvement in patient outcomes. This discussion is complementary to theoretical frameworks described in previously published guidance and literature reports by the U.S. Food and Drug Administration, Centers for Disease Control and Prevention, Institute of Medicine, and Center for Medical Technology Policy, among others. These reports are comprehensive and specifically clarify appropriate clinical use, adoption, and payer reimbursement for assay manufacturers, as well as Clinical Laboratory Improvement Amendments-certified laboratories, including those that develop assays (laboratory developed tests). Practical criteria and steps for establishing clinical utility are crucial to subsequent decisions for reimbursement without which high-performing molecular diagnostics will have limited availability to patients with cancer and fail to translate scientific advances into high-quality and cost-effective cancer care. See all articles in this CCR Focus section, "The Precision Medicine Conundrum: Approaches to Companion Diagnostic Co-development."

Making personalized cancer medicine a reality: challenges and opportunities in the development of biomarkers and companion diagnostics.

The origins of this article stem from discussions at the American Association for Cancer Research Clinical and Translational Cancer Research Think Tank meeting held in San Francisco in early 2010. This article synthesizes the opinions and issues considered at that meeting, and discusses many of the important events that have since occurred in the field of personalized cancer medicine. Although investigators continue to make progress in better linking individual patient biology with risk determination, diagnosis, prognosis, and treatment selection, the pace of this progress continues to be limited by many of the issues identified in the meeting.

Leveling the playing field: bringing development of biomarkers and molecular diagnostics up to the standards for drug development.

Molecular diagnostics are becoming increasingly important in clinical research to stratify or identify molecularly profiled patient cohorts for targeted therapies, to modify the dose of a therapeutic, and to assess early response to therapy or monitor patients. Molecular diagnostics can also be used to identify the pharmacogenetic risk of adverse drug reactions. The articles in this CCR Focus section on molecular diagnosis describe the development and use of markers to guide medical decisions regarding cancer patients. They define sources of preanalytic variability that need to be minimized, as well as the regulatory and financial challenges involved in developing diagnostics and integrating them into clinical practice. They also outline a National Cancer Institute program to assist diagnostic development. Molecular diagnostic clinical tests require rigor in their development and clinical validation, with sensitivity, specificity, and validity comparable to those required for the development of therapeutics. These diagnostics must be offered at a realistic cost that reflects both their clinical value and the costs associated with their development. When genome-sequencing technologies move into the clinic, they must be integrated with and traceable to current technology because they may identify more efficient and accurate approaches to drug development. In addition, regulators may define progressive drug approval for companion diagnostics that requires further evidence regarding efficacy and safety before full approval can be achieved. One way to accomplish this is to emphasize phase IV postmarketing, hypothesis-driven clinical trials with biological characterization that would permit an accurate definition of the association of low-prevalence gene alterations with toxicity or response in large cohorts.

Biologically targeted cancer therapy and marginal benefits: are we making too much of too little or are we achieving too little by giving too much?

We describe the development and approval of biologically targeted agents in the clinic through examples chosen from the experience with inhibitors of the epidermal growth factor (EGF) and VEGF pathways. Despite extensive biological rationale for the use of these classes of molecules, marginal clinical benefits have been observed in broad patient populations, and the agents have entered into general clinical practice. We discuss why this situation is unsatisfactory because marginal general benefit may often be at the expense of toxicity to nonbenefiting or even harmed patients. Finally, we point out that emerging technologies bring the promise of allowing the identification of patients who might potentially benefit from a therapy. However, development of this technology will not move forward without broader recognition of its need by the range of stakeholders, including patients, advocates, academic and private oncologists, drug sponsors, and those who develop drugs and diagnostic tests.

Single-cell network profiling (SCNP) by flow cytometry in autoimmune disease.

Autoimmune diseases are complex and heterogeneous in nature and show varying responses to therapeutic treatment. A more accurate biological characterization of individual patients would assist in disease classification, prognosis, and treatment decisions. This characterization ideally would incorporate cellular, biochemical, and molecular information that contribute to the inflammatory state. The advent of single-cell network profiling (SCNP) using phospho-flow multiparametric flow cytometry allows insight into the complexity of signaling networks in various cell types. Here, we describe the potential of SCNP to inform on the biological characterization of autoimmune disease, the application in clinical medicine, and the utility in drug development.

Patient-specific classifications of human malignant disease.

The systematic classification of malignant disease creates a common language among the participants involved in cancer diagnosis and treatment. Classifications provide information regarding disease prognosis and the selection of treatment for patients, and may indicate when a novel treatment is required. Thus, systems of classification require revision over time as knowledge accumulates about the effects of therapy. Clinical experience over the last decade with biologically targeted anticancer agents has exposed the increasing inadequacies of many current classifications of malignant disease and the need for greater patient-specific biological characterization of cancer. Recent efforts to characterize the biology of tumors using new technologies and relate this information to clinical oncology practice are discussed in this review. The results to date reveal important biological diversity within classification groups based on histology. In addition, methods to more comprehensively analyze data on the biology of the tumors of individual patients than are currently used may make the development process of anticancer therapeutics more efficient.