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Clinical trials supporting oncology drug approvals frequently underrepresent diverse racial and ethnic populations. Recent policies have focused on ensuring premarket clinical trials are more inclusive and representative of racial and ethnic diversity in the general U.S. population or intended patient population; however, recent U.S. Food and Drug Administration (FDA) guidance on postmarketing approaches to collecting data in underrepresented populations demonstrates that, in certain circumstances, postmarketing requirements and/or commitments (PMR/Cs) may be issued to conduct more representative studies if there are remaining questions about safety or efficacy. This analysis demonstrates that prior to 2020, no drugs had PMR/Cs to further characterize use in a more representative population, and in the last 3 years, more than half of novel oncology approvals have had such a PMR/C (21/40, 53%). In addition, this analysis helps to identify characteristics, such as single-arm pivotal trial design, U.S. enrollment, and results of safety subgroup analyses based on race and ethnicity, that may contribute to decisions to issue a PMR/C to conduct a study that is more representative of the racial and ethnic diversity of the U.S. or intended patient population. These results can inform efforts to improve premarket clinical trials to ensure they are representative and able to characterize use in any patient who may need the drug., (©2024 The Authors; Published by the American Association for Cancer Research.)

Progression-free survival as a primary endpoint for comparative trials does not fully capture the therapeutic risk/benefit ratio. Additionally, summarization of the treatment effect via a hazard ratio is problematic when the proportional hazards assumption is violated. Restricted mean survival time metrics may address these challenges but have other limitations. See related article by Chang et al., p. 3282., (©2024 American Association for Cancer Research.)

Basket, umbrella, and platform trial designs (master protocols) have emerged over the last decade to study precision medicine approaches in oncology. First-generation trials like NCI-MATCH (Molecular Analysis for Therapy Choice) have proven the principle that studying targeted therapies on a large scale is feasible both from the laboratory and clinical perspectives. However, single-agent targeted therapies have shown limited ability to control metastatic disease, despite careful matching of drug to target. As such, newer approaches employing combinations of targeted therapy, or targeted therapy with standard therapies, need to be considered. The NCI has recently embarked on three second-generation precision medicine trials to address this need: ComboMATCH, iMATCH, and myeloMATCH. The design of these trials and necessary infrastructure are discussed in the following perspective., (©2023 The Authors; Published by the American Association for Cancer Research.)

Human intratumoral immunotherapy (HIT-IT) is under rapid development, with promising preliminary results and high expectations for current phase III trials. While outcomes remain paramount for patients and the referring oncologists, the technical aspects of drug injection are critical to the interventional radiologist to ensure optimal and reproducible outcomes. The technical considerations for HIT-IT affect the safety, efficacy, and further development of this treatment option. Image-guided access to the tumor allows the therapeutic index of a treatment to be enhanced by increasing the intratumoral drug concentration while minimizing its systemic exposure and associated on-target off-tumor adverse events. Direct access to the tumor also enables the acquisition of cancer tissue for sequential sampling to better understand the pharmacodynamics of the injected immunotherapy and its efficacy through correlation of immune responses, pathologic responses, and imaging tumor response. The aim of this article is to share the technical insights of HIT-IT, with particular consideration for patient selection, lesion assessment, image guidance, and technical injection options. In addition, the organization of a standard patient workflow is discussed, so as to optimize HIT-IT outcome and the patient experience., (©2021 American Association for Cancer Research.)

Five years ago, the Melanoma Research Foundation (MRF) conducted an assessment of the challenges and opportunities facing the melanoma research community and patients with melanoma. Since then, remarkable progress has been made on both the basic and clinical research fronts. However, the incidence, recurrence, and death rates for melanoma remain unacceptably high and significant challenges remain. Hence, the MRF Scientific Advisory Council and Breakthrough Consortium, a group that includes clinicians and scientists, reconvened to facilitate intensive discussions on thematic areas essential to melanoma researchers and patients alike, prevention, detection, diagnosis, metastatic dormancy and progression, response and resistance to targeted and immune-based therapy, and the clinical consequences of COVID-19 for patients with melanoma and providers. These extensive discussions helped to crystalize our understanding of the challenges and opportunities facing the broader melanoma community today. In this report, we discuss the progress made since the last MRF assessment, comment on what remains to be overcome, and offer recommendations for the best path forward., (©2021 American Association for Cancer Research.)

Purpose: In clinical research, eligibility criteria promote patient safety and optimize the evidence generated from clinical trials. However, overly stringent eligibility criteria, including laboratory requirements, may limit enrollment, resulting in delayed trial completion and potentially limiting applicability of trial results to a general practice population., Experimental Design: Starting in 2018, a working group consisting of experts in direct patient care, the FDA, industry, and patient advocacy developed recommendations to guide the optimal use of laboratory reference ranges and testing intervals in clinical trial eligibility criteria and study procedures. The working group evaluated current eligibility criteria across different clinical trial phases and performed a literature review to evaluate the impact of and justification for laboratory test eligibility requirements and testing intervals in clinical trials. Recommendations were developed on the basis of the goals of promoting safety and optimizing the evidence generated, while also expanding eligibility and applicability, and minimizing excess burden of trial participation., Results: In general, we found little variation over time and trial phase in laboratory test requirements, suggesting that these eligibility criteria are not refined according to ongoing clinical experience. We propose recommendations to optimize the use of laboratory tests when considering eligibility criteria., Conclusions: Tailoring the use of laboratory test requirements and testing intervals may increase the number and diversity of patients in clinical trials and provide clinical data that more closely represent the general practice populations. See related commentary by Giantonio, p. 2369 ., (©2021 American Association for Cancer Research.)

Purpose: Performance status (PS) is one of the most common eligibility criteria. Many trials are limited to patients with high-functioning PS, resulting in important differences between trial participants and patient populations with the disease. In addition, existing PS measures are subjective and susceptible to investigator bias., Experimental Design: A multidisciplinary working group of the American Society of Clinical Oncology and Friends of Cancer Research evaluated how PS eligibility criteria could be more inclusive. The working group recommendations are based on a literature search, review of trials, simulation study, and multistakeholder consensus. The working group prioritized inclusiveness and access to investigational therapies, while balancing patient safety and study integrity., Results: Broadening PS eligibility criteria may increase the number of potentially eligible patients for a given clinical trial, thus shortening accrual time. It may also result in greater participant diversity, potentially reduce trial participant and patient disparities, and enable clinicians to more readily translate trial results to patients with low-functioning PS. Potential impact on outcomes was explored through a simulation trial demonstrating that when the number of Eastern Cooperative Oncology Group PS2 participants was relatively small, the effect on the estimated HR and power was modest, even when PS2 patients did not derive a treatment benefit., Conclusions: Expanding PS eligibility criteria to be more inclusive may be justified in many cases and could result in faster accrual rates and more representative trial populations. See related commentary by Giantonio, p. 2369 ., (©2021 American Association for Cancer Research.)

Utilization of telehealth as part of the cancer care delivery continuum dramatically escalated in response to the COVID-19 pandemic at major cancer centers across the globe. The rapid shift toward telehealth visits for nontreatment cancer care provided immediate benefit through reducing unnecessary risk of exposure, overcoming transportation barriers faced by both patients and caregivers, and fast-tracking care transformation. As such, delineating the impact of telehealth on access, health equity, quality, and outcomes will be essential for refining the use of digital strategies and telehealth toward optimizing cancer care. Herein, experiences to date with telehealth usage for oncology care are reviewed, and priorities are outlined for postpandemic opportunities to improve the lives of patients with cancer through telemedicine., (©2020 American Association for Cancer Research.)

Uveal melanoma is a rare cancer in adults, but its treatment is one of the clinical unmet needs in the melanoma field. Metastatic disease develops in approximately 50% of patients and is associated with poor survival due to the lack of effective treatment options. It provides a paradigm for cancers that show evidence of aberrant G protein-coupled receptor signaling, tumor dormancy, and liver-selective metastatic tropism and are associated with the loss of the BAP1 tumor suppressor. At the Melanoma Research Foundation CURE OM Science Meeting at the Society for Melanoma Research Meeting held in Utah on November 20, 2019, clinicians and researchers presented findings from their studies according to three themes within uveal melanoma: (i) ongoing clinical trials, (ii) molecular determinants, and (iii) novel targets that could be translated into clinical trials. This meeting underscored the high interest in the uveal melanoma research field and the unmet need for effective treatment strategies for late-stage disease. Findings from ongoing clinical trials are promising, and multiple studies show how novel combinatorial strategies increase response rates. Novel targets and tumor vulnerabilities identified bioinformatically or through high-throughput screens also reveal new opportunities to target uveal melanoma. The future directions pursued by the uveal melanoma research field will likely have an impact on other cancer types that harbor similar genetic alterations and/or show similar biological properties., (©2020 American Association for Cancer Research.)

The development of next-generation sequencing technology has dramatically improved our understanding of the genetic landscape of multiple myeloma. Several new drivers and recurrent events have been reported and linked to a potential driver role. This complex landscape is enhanced by intraclonal mutational heterogeneity and variability introduced through the dimensions of time and space. The evolutionary history of multiple myeloma is driven by both the accumulation of different genomic drivers and by the activity of different mutational processes active overtime. In this review, we describe how these new findings and sequencing technologies have been progressively allowed to understand and reshape our knowledge of the complexity of multiple myeloma at each of its developmental stages: premalignant, at diagnosis, and in relapsed/refractory states. We discuss how these evolutionary concepts can be utilized in the clinic to alter evolutionary trajectories providing a framework for therapeutic intervention at early-disease stages., (©2020 American Association for Cancer Research.)

Purpose: Prediction of spatially variant response to cancer therapies can inform risk-adaptive management within precision oncology. We developed the "Voxel Forecast" multiscale regression framework for predicting spatially variant tumor response to chemoradiotherapy on fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) imaging., Experimental Design: Twenty-five patients with locally advanced non-small cell lung cancer, enrolled on the FLARE-RT phase II trial (NCT02773238), underwent FDG PET/CT imaging prior to (PETpre) and during week 3 (PETmid) of concurrent chemoradiotherapy. Voxel Forecast was designed to predict tumor voxel standardized uptake value (SUV) on PETmid from baseline patient-level and voxel-level covariates using a custom generalized least squares (GLS) algorithm. Matérn covariance matrices were fit to patient- specific empirical variograms of distance-dependent intervoxel correlation. Regression coefficients from variogram-based weights and corresponding standard errors were estimated using the jackknife technique. The framework was validated using statistical simulations of known spatially variant tumor response. Mean absolute prediction errors (MAEs) of Voxel Forecast models were calculated under leave-one-patient-out cross-validation., Results: Patient-level forecasts resulted in tumor voxel SUV MAE on PETmid of 1.5 g/mL while combined patient- and voxel-level forecasts achieved lower MAE of 1.0 g/mL ( P < 0.0001). PETpre voxel SUV was the most important predictor of PETmid voxel SUV. Patients with a greater percentage of under-responding tumor voxels were classified as PETmid nonresponders ( P = 0.030) with worse overall survival prognosis ( P < 0.001)., Conclusions: Voxel Forecast multiscale regression provides a statistical framework to predict voxel-wise response patterns during therapy. Voxel Forecast can be extended to predict spatially variant response on multimodal quantitative imaging and may eventually guide optimized spatial-temporal dose distributions for precision cancer therapy., (©2019 American Association for Cancer Research.)

With the increasing availability of genomics, routine analysis of advanced cancers is now feasible. Treatment selection is frequently guided by the molecular characteristics of a patient's tumor, and an increasing number of trials are genomically selected. Furthermore, multiple studies have demonstrated the benefit of therapies that are chosen based upon the molecular profile of a tumor. However, the rapid evolution of genomic testing platforms and emergence of new technologies make interpreting molecular testing reports more challenging. More sophisticated precision oncology decision support services are essential. This review outlines existing tools available for health care providers and precision oncology teams and highlights strategies for optimizing decision support. Specific attention is given to the assays currently available for molecular testing, as well as considerations for interpreting alteration information. This article also discusses strategies for identifying and matching patients to clinical trials, current challenges, and proposals for future development of precision oncology decision support. Clin Cancer Res; 24(12); 2719-31. ©2018 AACR ., (©2018 American Association for Cancer Research.)

Clinical trials investigating immune checkpoint inhibitors have led to the approval of anti-CTLA-4 (cytotoxic T-lymphocyte antigen-4), anti-PD-1 (programmed death-1), and anti-PD-L1 (PD-ligand 1) drugs by the FDA for numerous tumor types. In the treatment of metastatic melanoma, combinations of checkpoint inhibitors are more effective than single-agent inhibitors, but combination immunotherapy is associated with increased frequency and severity of toxicity. There are questions about the use of combination immunotherapy or single-agent anti-PD-1 as initial therapy and the number of doses of either approach required to sustain a response. In this article, we describe a novel use of sequential, multiple assignment, randomized trial (SMART) design to evaluate immune checkpoint inhibitors to find treatment regimens that adapt within an individual based on intermediate response and lead to the longest overall survival. We provide a hypothetical example SMART design for BRAF wild-type metastatic melanoma as a framework for investigating immunotherapy treatment regimens. We compare implementing a SMART design to implementing multiple traditional randomized clinical trials. We illustrate the benefits of a SMART over traditional trial designs and acknowledge the complexity of a SMART. SMART designs may be an optimal way to find treatment strategies that yield durable response, longer survival, and lower toxicity. Clin Cancer Res; 24(4); 730-6. ©2017 AACR ., (©2017 American Association for Cancer Research.)

Survival of children with cancers has dramatically improved over the past several decades. This success has been achieved through improvement of combined modalities in treatment approaches, intensification of cytotoxic chemotherapy for those with high-risk disease, and refinement of risk stratification incorporating novel biologic markers in addition to traditional clinical and histologic features. Advances in cancer genomics have shed important mechanistic insights on disease biology and have identified "driver" genomic alterations, aberrant activation of signaling pathways, and epigenetic modifiers that can be targeted by novel agents. Thus, the recently described genomic and epigenetic landscapes of many childhood cancers have expanded the paradigm of precision medicine in the hopes of improving outcomes while minimizing toxicities. In this review, we will discuss the biologic rationale for molecularly targeted therapies in genomically defined subsets of pediatric leukemias, solid tumors, and brain tumors. Clin Cancer Res; 23(18); 5329-38. ©2017 AACR ., (©2017 American Association for Cancer Research.)

Two major trends that have been affecting the provision of oncology care in the United States are a shift from volume-based to value-based care and a push toward patient-centered healthcare. However, these two trends are not always completely aligned with each other. Value-based payment models, including clinical pathways, are one strategy being implemented by oncology stakeholders to help encourage the uptake of value-based oncology care. If structured with the patient in mind, they can improve quality of care for patients with cancer, decrease inappropriate care while enabling appropriate personalization of care, and constrain rising prices by demanding a stronger link between cost and value. If not structured appropriately, they can limit patient choice, impede access to innovative treatments, and encourage one-size-fits-all oncology care. Clin Cancer Res; 23(16); 4545-9. ©2017 AACR ., (©2017 American Association for Cancer Research.)

Higher plasma concentrations of tyrosine kinase inhibitors (TKI), such as pazopanib, are associated with improved clinical outcomes. However, TKI pharmacokinetics exhibit significant interpatient variability, resulting in inconsistent and unpredictable plasma drug levels. An individualized dosing approach based on patient pharmacokinetics data and toxicity can potentially optimize plasma concentrations of pazopanib. Clin Cancer Res; 22(23); 5626-8. ©2016 AACRSee related article by Verheijen et al., p. 5738., (©2016 American Association for Cancer Research.)

Purpose: There is a growing interest in using circulating tumor DNA (ctDNA) testing in patients with cancer., Experimental Design: A total of 168 patients with diverse cancers were analyzed. Patients had digital next-generation sequencing (54 cancer-related gene panel including amplifications in ERBB2, EGFR, and MET) performed on their plasma. Type of genomic alterations, potential actionability, concordance with tissue testing, and patient outcome were examined., Results: Fifty-eight percent of patients (98/168) had ≥1 ctDNA alteration(s). Of the 98 patients with alterations, 71.4% had ≥ 1 alteration potentially actionable by an FDA-approved drug. The median time interval between the tissue biopsy and the blood draw was 2.7 months for patients with ≥ 1 alteration in common compared with 14.4 months (P = 0.006) for the patients in whom no common alterations were identified in the tissue and plasma. Overall concordance rates for tissue and ctDNA were 70.3% for TP53 and EGFR, 88.1% for PIK3CA, and 93.1% for ERBB2 alterations. There was a significant correlation between the cases with ≥ 1 alteration with ctDNA ≥ 5% and shorter survival (median = 4.03 months vs. not reached at median follow-up of 6.1 months; P < 0.001). Finally, 5 of the 12 evaluable patients (42%) matched to a treatment targeting an alteration(s) detected in their ctDNA test achieved stable disease ≥ 6 months/partial remission compared with 2 of 28 patients (7.1%) for the unmatched patients, P = 0.02., Conclusions: Our initial study demonstrates that ctDNA tests provide information complementary to that in tissue biopsies and may be useful in determining prognosis and treatment. Clin Cancer Res; 22(22); 5497-505. ©2016 AACR., (©2016 American Association for Cancer Research.)

Accrual continues to be a challenge for oncology clinical trials. Interventions to enhance accrual after study activation exist, including corrective action plans for NCI-sponsored trials. Clinical trials would benefit from a proactive approach rather than a reactive approach. Accrual strategy planning early in trial development is suggested. Clin Cancer Res; 22(22); 5397-9. ©2016 AACRSee related article by Massett et al., p. 5408., (©2016 American Association for Cancer Research.)

Accurate detection and characterization of cancers are key for providing timely intervention and effective treatments. Current imaging technologies are particularly limited when it comes to detecting very small tumors in vivo, i.e., very early cancers or metastases, differentiating viable tumor from surrounding dead tumor tissue, and evaluating tumor metabolism within tissue. Optoacoustic imaging offers potential solutions to these imaging problems because of its ability to image optical absorption properties of both intrinsic tissue chromophores and exogenous contrast agents without the involvement of ionizing radiation. Optoacoustic imaging uses pulsed laser to induce localized thermoelastic expansion that generates acoustic waves detectable by an ultrasound transducer. To date, multispectral optoacoustic tomography (MSOT) has primarily been used in preclinical research; however, its use in translational and clinical research is expanding. This review focuses on current and emerging applications of optoacoustic imaging for molecular imaging of cancer using both exogenous and endogenous contrast agents and sheds light on potential future clinical applications. Clin Cancer Res; 22(14); 3432-9. ©2016 AACR., Competing Interests: of Potential Conflicts of Interest No potential conflicts of interest were disclosed., (©2016 American Association for Cancer Research.)

Comparative oncology as a tool in drug development requires a deeper examination of the value of the approach and examples of where this approach can satisfy unmet needs. This review seeks to demonstrate types of drug development questions that are best answered by the comparative oncology approach. We believe common perceived risks of the comparative approach relate to uncertainty of how regulatory bodies will prioritize or react to data generated from these unique studies conducted in diseased animals, and how these new data will affect ongoing human clinical trials. We contend that it is reasonable to consider these data as potentially informative and valuable to cancer drug development, but as supplementary to conventional preclinical studies and human clinical trials particularly as they relate to the identification of drug-associated adverse events. Clin Cancer Res; 22(9); 2133-8. ©2015 AACR., (©2015 American Association for Cancer Research.)

Sponsors of human drug and biologic products subject to an investigational new drug (IND) application are required to distribute expedited safety reports of serious and unexpected suspected adverse reactions to participating investigators and the FDA to assure the protection of human subjects participating in clinical trials. On September 29, 2010, the FDA issued a final rule amending its regulations governing expedited IND safety reporting requirements that revised the definitions used for reporting and clarified when to submit relevant and useful information to reduce the number of uninformative reports distributed by sponsors. From January 1, 2006, to December 31, 2014, the FDA's Office of Hematology and Oncology Products received an average of 17,686 expedited safety reports per year. An analysis of FDA submissions by commercial sponsors covering this time period suggested a slight increase in the number of expedited safety reports per IND per year after publication of the final rule. An audit of 160 randomly selected expedited safety reports submitted to the FDA's Office of Hematology and Oncology Products in 2015 revealed that only 22 (14%) were informative. The submission of uninformative expedited safety reports by commercial sponsors of INDs continues to be a significant problem that can compromise detection of valid safety signals. Clin Cancer Res; 22(9); 2111-3. ©2016 AACR., (©2016 American Association for Cancer Research.)

There is strong evidence that cigarette smoking causes adverse outcomes in people with cancer. However, more research is needed regarding those effects and the effects of alternative tobacco products and of secondhand smoke, the effects of cessation (before diagnosis, during treatment, or during survivorship), the biologic mechanisms, and optimal strategies for tobacco dependence treatment in oncology. Fundamentally, tobacco is an important source of variation in clinical treatment trials. Nevertheless, tobacco use assessment has not been uniform in clinical trials. Progress has been impeded by a lack of consensus regarding tobacco use assessment suitable for cancer patients. The NCI-AACR Cancer Patient Tobacco Use Assessment Task Force identified priority research areas and developed recommendations for assessment items and timing of assessment in cancer research. A cognitive interview study was conducted with 30 cancer patients at the NIH Clinical Center to evaluate and improve the measurement items. The resulting Cancer Patient Tobacco Use Questionnaire (C-TUQ) includes "Core" items for minimal assessment of tobacco use at initial and follow-up time points, and an "Extension" set. Domains include the following: cigarette and other tobacco use status, intensity, and past use; use relative to cancer diagnosis and treatment; cessation approaches and history; and secondhand smoke exposure. The Task Force recommends that assessment occur at study entry and, at a minimum, at the end of protocol therapy in clinical trials. Broad adoption of the recommended measures and timing protocol, and pursuit of the recommended research priorities, will help us to achieve a clearer understanding of the significance of tobacco use and cessation for cancer patients., (©2016 American Association for Cancer Research.)

The research article by Carey and colleagues, published in the April 15, 2007, issue of Clinical Cancer Research, described the relationship between response to neoadjuvant chemotherapy and outcome by tumor subtype. Today neoadjuvant clinical trials are often designed to provide correlative data to help identify predictive biomarkers or to focus on poor-risk patients identified by residual disease after neoadjuvant treatment., (©2015 American Association for Cancer Research.)

Recent advances in nanotechnology have established its importance in several areas including medicine. The myriad of applications in oncology range from detection and diagnosis to drug delivery and treatment. Although nanotechnology has attracted a lot of attention, the practical application of nanotechnology to clinical cancer care is still in its infancy. This review summarizes the role that nanotechnology has played in improving cancer therapy, its potential for affecting all aspects of cancer care, and the challenges that must be overcome to realize its full promise., (©2015 American Association for Cancer Research.)

In an era of high-throughput "omic" technologies, the unprecedented amount of data that can be generated presents a significant opportunity but simultaneously an even greater challenge for oncologists trying to provide personalized treatment. Classically, preclinical testing of new targets and identification of active compounds against those targets have entailed the extensive use of established human cell lines, as well as genetically modified mouse tumor models. Patient-derived xenografts in zebrafish may in the near future provide a platform for selecting an appropriate personalized therapy and together with zebrafish transgenic tumor models represent an alternative vehicle for drug development. The zebrafish is readily genetically modified. The transparency of zebrafish embryos and the recent development of pigment-deficient zebrafish afford researchers the valuable capacity to observe directly cancer formation and progression in a live vertebrate host. The zebrafish is amenable to transplantation assays that test the serial passage of fluorescently labeled tumor cells as well as their capacity to disseminate and/or metastasize. Progress achieved to date in genetic engineering and xenotransplantation will establish the zebrafish as one of the most versatile animal models for cancer research. A model organism that can be used in transgenesis, transplantation assays, single-cell functional assays, and in vivo imaging studies make zebrafish a natural companion for mice in translational oncology research., Competing Interests: The authors declare no conflicting interests., (©2015 American Association for Cancer Research.)

When diagnosed with cancer, patients can immediately make a meaningful positive impact on their health by stopping their tobacco use. Scientific evidence clearly shows that tobacco use in patients with cancer leads to poorer outcomes. The specific biological processes driving tobacco consumption's interference in cancer therapy are the subject of continuing research, but the evidence is clear that tobacco use in patients with cancer leads to decreased treatment efficacy and safety, decreased survival, decreased quality of life, increased treatment-related toxicity, and increased risk of cancer recurrence and second primary tumors. Data suggest that tobacco cessation can improve outcomes and survival in patients with cancer, yet full execution of evidence-based cessation interventions is infrequent in oncology settings. Therefore, both improved provision of cessation assistance to all patients with cancer who use tobacco or have recently quit and further study of the deleterious effects of tobacco use and benefits of tobacco cessation on cancer progression and treatment are needed and recommended by the American Association for Cancer Research. Progress on both fronts begins with universal assessment and documentation of tobacco use as a standard of quality cancer care regardless of treatment setting and will be further facilitated through the development of reliable, valid, and standard measures of tobacco use, incorporation of evidence-based procedures into quality and accreditation procedures, and the development of appropriate training, clinical infrastructure, and incentives for delivery of tobacco cessation interventions.

Purpose: To facilitate development of innovative immunotherapy approaches, especially for treatment concepts exploiting the potential benefits of personalized therapy, there is a need to develop and validate tools to identify patients who can benefit from immunotherapy. Despite substantial effort, we do not yet know which parameters of antitumor immunity to measure and which assays are optimal for those measurements., Experimental Design: The iSBTc-SITC (International Society for Biological Therapy of Cancer-Society for Immunotherapy of Cancer), FDA (Food and Drug Administration), and NCI (National Cancer Institute) partnered to address these issues for immunotherapy of cancer. Here, we review the major challenges, give examples of approaches and solutions, and present our recommendations., Results and Conclusions: Although specific immune parameters and assays are not yet validated, we recommend following standardized (accurate, precise, and reproducible) protocols and use of functional assays for the primary immunologic readouts of a trial; consideration of central laboratories for immune monitoring of large, multi-institutional trials; and standardized testing of several phenotypic and functional potential potency assays specific to any cellular product. When reporting results, the full QA (quality assessment)/QC (quality control) should be conducted and selected examples of truly representative raw data and assay performance characteristics should be included. Finally, to promote broader analysis of multiple aspects of immunity, and gather data on variability, we recommend that in addition to cells and serum, RNA and DNA samples be banked (under standardized conditions) for later testing. We also recommend that sufficient blood be drawn to allow for planned testing of the primary hypothesis being addressed in the trial, and that additional baseline and posttreatment blood is banked for testing novel hypotheses (or generating new hypotheses) that arise in the field., (©2011 AACR.)

Since monoclonal gammopathy of undetermined significance (MGUS) was first described more than 30 years ago, the definition of the entity has evolved. Today, 3 distinct clinical MGUS subtypes have been defined: non-immunoglobulin M (IgM; IgG or IgA) MGUS, IgM MGUS, and light chain MGUS. Each clinical MGUS subtype is characterized by unique intermediate stages and progression events. Although we now have strong evidence that multiple myeloma is consistently preceded by a precursor state at the molecular level, there is urgent need to better understand mechanisms that regulate transformation from precursor to full-blown multiple myeloma. In the future, if such knowledge was available, it would allow clinicians to define high-risk and low-risk precursor patients for a more tailored clinical management. Also, it would provide insights on the individual patient's disease biology, which, in turn, can be used for targeted and more individualized treatment strategies. On the basis of current clinical guidelines, patients diagnosed with MGUS and smoldering myeloma should not be treated outside of clinical trials. In the near future, it seems reasonable to believe that high-risk precursor patients will likely become candidates for early treatment strategies. In this review, we discuss novel insights from recent studies and propose future directions of relevance for clinical management and research studies., (©2011 AACR.)

Treatment options for patients with relapsed myeloma have benefited from the development of new targeted agents. The use of bortezomib, thalidomide, and lenalidomide have dramatically changed outcomes for patients with relapsed myeloma. New agents are also in development, on the basis of preclinical rationale, as well as combinations of conventional and novel agents. Together each of these treatment approaches are being tested in phase I, II, and III clinical trials, with the goal of prolonged duration of remission and, ultimately, improved overall survival., (©2011 AACR.)

Multiple myeloma (MM) is a complex disease that is driven by numerous genetic and epigenetic alterations. Comprehensive oncogenomic analysis indicates the presence of many highly recurrent and highly focal amplifications and/or deletions in the MM genome. Integrated oncogenomic analyses of human MM have identified candidates resident within regions of amplification and/or deletions that are predicted to be involved in MM pathogenesis and progression. The biological behavior and clinical outcome in MM are dependent on these molecular determinants, which are also attractive therapeutic targets. The data obtained from extensive analysis of patient samples, with annotated clinical outcomes, are providing insights into molecular mechanisms of disease behavior, helping to develop sensitive prognostic models, identifying novel therapeutic targets, providing the framework for the development of molecularly based therapies, and, eventually, will help in developing individualized therapy to improve outcomes, with reduced toxicity., (©2011 AACR.)

Neoplastic cells are genetically unstable. Strategies that target pathways affecting genome instability can be exploited to disrupt tumor cell growth, potentially with limited consequences to normal cells. Chromosomal instability (CIN) is one type of genome instability characterized by mitotic defects that increase the rate of chromosome mis-segregation. CIN is frequently caused by extra centrosomes that transiently disrupt normal bipolar spindle geometry needed for accurate chromosome segregation. Tumor cells survive with extra centrosomes because of biochemical pathways that cluster centrosomes and promote chromosome segregation on bipolar spindles. Recent work shows that targeted inhibition of these pathways prevents centrosome clustering and forces chromosomes to segregate to multiple daughter cells, an event triggering apoptosis that we refer to as anaphase catastrophe. Anaphase catastrophe specifically kills tumor cells with more than 2 centrosomes. This death program can occur after genetic or pharmacologic inhibition of cyclin dependent kinase 2 (Cdk2) and is augmented by combined treatment with a microtubule inhibitor. This proapoptotic effect occurs despite the presence of ras mutations in cancer cells. Anaphase catastrophe is a previously unrecognized mechanism that can be pharmacologically induced for apoptotic death of cancer cells and is, therefore, appealing to engage for cancer therapy and prevention., (©2011 AACR.)

High-dose therapy (HDT) with autologous stem cell transplantation (ASCT) is the standard of care for eligible newly diagnosed multiple myeloma (MM) patients. Several randomized studies showed a survival advantage for patients undergoing transplantation, compared with conventional chemotherapy. Introduction of new drugs in this setting has markedly increased survival rates within the last 10 years. Efforts to further improve response rates and survival in those patients are still needed, mainly by increasing the depth of tumor reduction and the duration of response through more effective induction, consolidation, and maintenance therapies. Nevertheless, this approach is currently challenged by the promising results of long-term treatment with novel agents. Recent data suggest that the upfront combination of a proteasome inhibitor plus 1 immunomodulatory compound (IMiD) is highly effective. The combination of bortezomib, thalidomide, and dexamethasone (VTD) has proven to be highly effective as a frontline treatment and is significantly superior to vincristine, doxorubicin, and dexamethasone (VAD) or thalidomide and dexamethasone (Thal-Dex) before and after ASCT with a very manageable toxicity pattern. The most promising 3-drug association might be bortezomib, lenalidomide, and dexamethasone (VRD). Adjunction of a 4th drug has not proven to be more efficient. In patients not eligible for ASCT, the introduction of novel agents has changed the management of multiple myeloma. The combinations of melphalan, prednisone, and thalidomide and of bortezomib, melphalan, and prednisone have shown improved progression-free survival and overall survival in comparison with melphalan and prednisone alone. Melphalan, prednisone, and thalidomide and bortezomib, melphalan, and prednisone are now the new standards of care for elderly patients. Preliminary results also support the role of the combination of melphalan, prednisone, and lenalidomide followed by maintenance therapy with lenalidomide in the treatment of elderly patients. Physicians now have a wider variety of treatment options to tailor the most appropriate and efficacious treatment according to their patients' characteristics., (©2011 AACR.)

Purpose: This study determined the molecular characteristics and clinical significance of amplification of the 13q31 chromosomal region in alveolar rhabdomyosarcoma (ARMS), an aggressive pediatric cancer with frequent PAX3-FOXO1 and PAX7-FOXO1 gene fusions., Experimental Design: The 13q31 amplicon was localized in an initial panel of ARMS cases using oligonucleotide arrays. A fluorescence in situ hybridization assay for this localized region was designed, and applied to more ARMS cases to determine the frequency and distribution of amplification. Quantitative reverse transcription-PCR assays were applied to measure gene expression. The clinical significance of copy number and expression was determined with Kaplan-Meier and Cox proportional hazard models., Results: We localized the 13q31 amplicon to a 0.15 Mb region containing the MIR17HG gene encoding the polycistronic microRNA cluster, miR-17-92. This amplicon is present in 23% of ARMS cases with a marked preference for PAX7-FOXO1-positive cases. In tumors with 13q31 amplification, there is significantly increased expression of 5 of 6 microRNA's within the miR-17-92 cluster (miR-17, miR-19a, miR-19b, miR-20a, and miR-92a). In addition, a subset of nonamplified tumors with copy number-independent overexpression of all 6 microRNA's was identified. In clinical analyses, there was a significantly worse outcome associated with increased expression of the 5 microRNA's described above in 13q31-amplified cases when compared to nonamplified cases. There was also an improved outcome in 13q31-amplified cases with lower expression of these microRNA's., Conclusions: 13q31 amplification and expression of the miR-17-92 cluster provide novel markers for identifying good and poor prognostic subsets of PAX7-FOXO1-positive ARMS., (©2011 AACR.)

Purpose: Even in small-sized (≤ 2 cm in greatest dimension) and/or pathologic stage I lung adenocarcinoma (ADC), a considerable proportion of the patients will relapse within 5 years and show poor prognosis. The purpose of this study was to identify genetic alterations that define prognosis of patients with early-stage lung ADC., Experimental Design: Regions of copy number alterations in 65 small-sized lung ADCs and 40 ADC cell lines were determined by using GeneChip Human Mapping 10-K and 250-K single-nucleotide polymorphism (SNP) arrays, respectively. A copy number assay based on real-time genomic PCR (RT-G-PCR) was done for 60 small-sized lung ADCs and 162 stage I lung ADCs., Results: Several regions on chromosomes 5p, 7p, 8q, and 14q were frequently (>10%) amplified in both small-sized ADCs and lung ADC cell lines. In particular, the MYC gene was mapped in the minimum common region at chromosome 8q24.21, and therefore was indicated to be a target of gene amplification in lung ADCs. MYC amplification correlated with poor prognosis (P = 0.031) of patients with small-sized ADCs. MYC amplification detected by SNP array analysis was well reproduced by RT-G-PCR analysis. Therefore, to investigate the utility of MYC amplification as a prognostic marker for early-stage lung ADCs, 162 stage I lung ADCs were subjected to the analysis. MYC amplification was associated with relapse-free survival in these patients (P = 0.013 by multivariate Cox proportional hazard model analysis)., Conclusions: These results strongly indicate that MYC amplification is a prognostic marker of patients with early-stage lung ADCs., (©2010 AACR.)

Multiple myeloma (MM) is an example of rapid bench-to-bedside translation in new drug development. Bortezomib and lenalidamide target the tumor cell in the bone marrow microenvironment to overcome drug resistance in laboratory and animal models; each is effective to treat relapsed and/or refractory, relapsed, and newly diagnosed MM, and both are now showing promise as maintenance therapy. Major ongoing translational research efforts include improved classification and personalized therapies; identification and validation of next-generation agents targeting the tumor cell in its microenvironment; novel immune therapies; rationally based combination therapies; and use of novel agents to delay or prevent development of active MM. This paradigm of targeting the tumor in its microenvironment has already extended median survival in MM from 3 to 7 to 8 years and has great potential to improve patient outcome in other hematologic malignancies and solid tumors as well., (©2011 AACR.)

Osteolytic bone disease is pathognomonic of multiple myeloma (MM) and affects more than 80% of patients. Bone disease results in skeletal-related events (SRE) such as vertebral compression fractures, which may cause cord compression, hypercalcemia, pathologic fractures that require radiation or surgical fixation, and severe pain. All of these not only result in a negative impact on quality of life but also adversely impact overall survival. Osteolytic disease is a consequence of increased osteoclast (OC) activation along with osteoblast (OB) inhibition, resulting in altered bone remodeling. OC number and activity are increased in MM via cytokine deregulation within the bone marrow (BM) milieu, whereas negative regulators of OB differentiation suppress bone formation. Bisphosphonates are a well-established treatment of myeloma-related skeletal disease and are the current standard of care. However, complications arising from their long-term use have prompted studies of schedule optimization and alternate strategies. Several novel agents are currently under investigation for their positive effect on bone remodeling via OC inhibition. The identification of negative regulators of OB differentiation has prompted the use of anabolic agents. In addition to restoring bone remodeling, these drugs may inhibit tumor growth in vivo. Future studies will look to combine or sequence all of these agents with the goal of not only alleviating morbidity from bone disease but also capitalizing on the resultant antitumor activity., (©2011 AACR.)

Although large panels of genes undergoing aberrant CpG island methylation in colorectal cancer have been identified, reliable predictors for clinical management in this tumor type remain elusive. A new DNA methylation signature affecting the extracellular matrix (ECM) pathway has been identified with potential prognostic value in colon cancer., (©2011 AACR.)

Advances in our knowledge of the molecular mechanisms involved in cancer biology have contributed to an increase in novel target-specific oncology therapeutics. Unfortunately, clinical development of new drugs is an expensive and slow process, and the patient and financial resources needed to study the vast number of potential therapies are limited, requiring novel approaches to clinical trial design and patient recruitment. In addition, traditional efficacy endpoints may not be adequate to fully determine the therapeutic worth of the new classes of targeted agents. In this new era of drug development, it has become increasingly clear that new clinical trial design paradigms that examine nontraditional endpoints have become necessary to assist in prioritizing the development of the most promising agents. It is also vital that individual patient management be considered, and the subpopulations of patients most likely to derive benefit or experience harm from a new therapy be identified as early as possible. Phase I and II clinical trials allow investigators doing clinical research the opportunity to define these critical endpoints and subpopulations early on, before conducting large-scale randomized phase III clinical trials, which require an abundance of financial and patient resources., (©2010 AACR.)

The Patient Protection and Affordable Care Act of 2010 will have a profound influence on health care in the United States, including how we conduct cancer research and cancer care delivery. For this reason, oncologists and researchers must be intimately involved in the implementation and interpretation of this important legislation. A major goal of the Act is to improve access to affordable, quality health care. An important element in achieving this goal will be to learn from patients' experiences and build the foundation for evidence-based personalized medicine. This will require a partnership among researchers, clinicians, policy makers and regulators, and patients to design an integrated information network system that will be the basis for providing the right treatment for the right patient in the right place at the right time. In this review, we will discuss the salient points of the Act that specifically affect cancer research and care, as well as highlight opportunities for oncologists and researchers to play a primary role in developing a health care system that includes personalized medicine approaches that will in turn enhance the likelihood of achieving the goals and objectives of the health care reform act., (©2010 AACR.)

In the era of molecular oncology, patients still define a useful therapy as one that allows them to live longer and helps them to live better. Although patient outcomes have clearly improved as a result of randomized controlled trials (RCT), it is critical that contemporary trials retain the perspective of these fundamental patient-centered outcomes. Trends in study design, results, and interpretation of oncology RCTs from the past provide a useful framework in which to consider how the research community may approach trial design in the future. Although the RCT remains the standard for establishing efficacy, this article also considers how population-based outcome studies can provide insight into effectiveness of new therapies and explores how the results of RCTs translate into benefit in the general population., (©2010 AACR.)

Efforts to unravel the complex biology that is necessary to develop new therapies best suited for an individual with cancer are at a crossroads with a strained health care system and an insufficient clinical trial apparatus. The resulting failures have been described as the "valley of death." Progress into the future will require new considerations and the engagement of a broad band of stakeholders. To identify novel therapeutics that are likely to succeed in late development and to be meaningful for clinical practice, investigators will need to make a paradigm shift in designing clinical trials and endpoints while adhering to scientific rigor when interpreting results and making informed decisions. Large phase III trials that show a modest incremental benefit will continue to diminish in value for patients, clinicians, payers, and industry. Outcomes that are robust in both magnitude and application to the real world will take on increasing importance. Ensuring active participation by patients, lowering barriers to health care access, and protecting patients through health care reform are requirements for the future success of the cancer clinical research enterprise. The challenge today is to develop new approaches to translate scientific discovery into cost-effective and meaningful improvements in cancer outcomes., (©2010 AACR.)