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PURPOSE Clinical trial adverse event (AE) data are increasingly complex and high-dimensional, especially for trials evaluating novel targeted agents and immunotherapies. Standard approaches to summarize and analyze AEs remain generally tabular, failing to describe the nature of AEs. Novel dynamic and data visualization methods are needed to enable a more comprehensive assessment of the overall toxicity profile of treatments. METHODS We developed methods for visualizing the numerous categorizations and types of AEs along with a dynamic approach to better reflect its highly dimensional nature without sacrificing the reporting of rare events. Circular plots displaying the proportion of maximal-grade AEs by system organ classes (SOCs) and butterfly plots displaying the proportion of AEs by severity for each AE term were developed to enable comparisons of AE patterns by treatment arm. These approaches were applied to a randomized phase III trial (S1400I; ClinicalTrials.gov identifier: NCT02785952 ) comparing nivolumab with nivolumab plus ipilimumab in patients with stage IV squamous non–small-cell lung cancer. RESULTS Our visualizations revealed that patients randomly assigned to nivolumab and ipilimumab had higher rates of grade 3 or higher AEs compared with nivolumab alone for several SOCs, including musculoskeletal (5.6% v 0.8%), skin (5.6% v 0.8%), vascular (5.6% v 1.6%), and cardiac (4% v 1.6%) toxicities. They also suggested a pattern of higher prevalence of moderate GI and endocrine toxicities and showed that although the rates of cardiac and neurologic toxicities were similar, the types of events were discordant. CONCLUSION The graphical approaches we proposed enable a more comprehensive and intuitive evaluation of toxicity types by treatment groups, which is not apparent in tabular and descriptive reporting methods.

PURPOSE Women have more adverse events (AEs) from chemotherapy than men, but few studies have investigated sex differences in immune or targeted therapies. We examined AEs by sex across different treatment domains. METHODS We analyzed treatment-related AEs by sex in SWOG phase II and III clinical trials conducted between 1980 and 2019, excluding sex-specific cancers. AE codes and grade were categorized using the Common Terminology Criteria for Adverse Events. Symptomatic AEs were defined as those aligned with the National Cancer Institute's Patient-Reported Outcome–Common Terminology Criteria for Adverse Events; laboratory-based or observable/measurable AEs were designated as objective (hematologic v nonhematologic). Multivariable logistic regression was used, adjusting for age, race, and disease prognosis. Thirteen symptomatic and 14 objective AE categories were examined. RESULTS In total, N = 23,296 patients (women, 8,838 [37.9%]; men, 14,458 [62.1%]) from 202 trials experiencing 274,688 AEs were analyzed; 17,417 received chemotherapy, 2,319 received immunotherapy, and 3,560 received targeted therapy. Overall, 64.6% (n = 15,051) experienced one or more severe (grade ≥ 3) AEs. Women had a 34% increased risk of severe AEs compared with men (odds ratio [OR] = 1.34; 95% CI, 1.27 to 1.42; P < .001), including a 49% increased risk among those receiving immunotherapy (OR = 1.49; 95% CI, 1.24 to 1.78; P < .001). Women experienced an increased risk of severe symptomatic AEs among all treatments, especially immunotherapy (OR = 1.66; 95% CI, 1.37 to 2.01; P < .001). Women receiving chemotherapy or immunotherapy experienced increased severe hematologic AE. No statistically significant sex differences in risk of nonhematologic AEs were found. CONCLUSION The greater severity of both symptomatic AEs and hematologic AEs in women across multiple treatment modalities indicates that broad-based sex differences exist. This could be due to differences in AE reported, pharmacogenomics of drug metabolism/disposition, total dose received, and/or adherence to therapy. Particularly large sex differences were observed for patients receiving immunotherapy, suggesting that studying AEs from these agents is a priority.

PURPOSE Simulation studies have shown that novel designs such as the continual reassessment method and the Bayesian optimal interval (BOIN) design outperform the 3 + 3 design by recommending the maximum tolerated dose (MTD) more often, using less patients, and allotting more patients to the MTD. However, it is not clear whether these novel designs would have yielded different results in the context of real-world dose-finding trials. This is a commonly mentioned reason for the continuous use of 3 + 3 designs for oncology trials, with investigators considering simulation studies not sufficiently convincing to warrant the additional design complexity of novel designs. METHODS We randomly sampled 60 published dose-finding trials to obtain 22 that used the 3 + 3 design, identified an MTD, published toxicity data, and had more than two dose levels. We compared the published MTD with the estimated MTD using the continual reassessment method and BOIN using target toxicity rates of 25% and 30% and toxicity data from the trial. Moreover, we compared patient allocation and sample size assuming that these novel designs had been implemented. RESULTS Model-based designs chose dose levels higher than the published MTD in about 40% of the trials, with estimated and observed toxicity rates closer to the target toxicity rates of 25% and 30%. They also assigned less patients to suboptimal doses and permitted faster dose escalation. CONCLUSION This study using published dose-finding trials shows that novel designs would recommend different MTDs and confirms the advantages of these designs compared with the 3 + 3 design, which were demonstrated by simulation studies.

BACKGROUND Chest CT scans are routinely obtained to monitor disease progression in pulmonary fibrosis. However, radiologists do not employ a standardized system for quantitative description of the severity of the disease. Development and validation of a grading system offers potential for enhancing the information that radiologists provide clinicians. STUDY DESIGN AND METHODS Our retrospective review analyzed 100 sequential patients with usual interstitial pneumonitis (UIP) on HRCT scans from 2018 and 2019. A radiologic scoring system evaluated the percent of normal lung on the basis of a 0-5 point scale per lobe (findings for the right middle lobe were included in the right upper lobe score), yielding an overall additive numerical score on a scale of 20 (completely normal lung) to 0 (no normal lung). Two radiologists quantified the percentage of normal lung by consensus agreement. Percent DLCO as well as demographic data were obtained from the medical record. Statistical analysis was performed using Spearman correlation to assess correlation between grade and percent DLCO. RESULTS 96 patients met the inclusion criteria; average age was 71, 68% were male. Score on CT scan ranged from 18 to 4; average 10.9, SD 3.58. The single-breath diffusing capacity (percent DLCO) ranged from 88% to 17%; mean 44.5%, SD 14.3%. Spearman's correlation for CT score and percent DLCO was 0.622, P

Purpose: To evaluate the safety and tolerability in phase I first-in-human combination therapy with pexidartinib, an inhibitor of colony-stimulating factor-1 receptor, and sirolimus, an mTOR inhibitor, to target tumor-associated macrophage (TAM) polarization in soft tissue sarcomas (STS). Patients and Methods: This multicenter phase I study used the time-to-event continual reassessment method (TITE-CRM) to study the combination of sirolimus, doses ranging from 2 to 6 mg, with pexidartinib, doses ranging from 600 to 1,000 mg, both provided continuously on a 28-day cycle, in patients with advanced sarcoma. A total of 24 patients [8 malignant peripheral nerve sheath tumor, 3 tenosynovial giant cell tumor (TGCT), 5 leiomyosarcoma, and 8 with other sarcoma subtypes] were enrolled. The median age was 46 years, 56% were male, and 61% had >2 prior lines of therapy. Results: The recommended phase II dose was 2 mg of sirolimus combined with 1,000 mg of pexidartinib daily. Of the 18 evaluable subjects, 5 experienced dose-limiting toxicities (2 elevated aspartate aminotransferase/alanine aminotransferase, 2 elevated sirolimus trough levels, and 1 grade 5 dehydration). Most common grade 2 or higher treatment-related adverse events included anemia, fatigue, neutropenia, and lymphopenia. Clinical benefit was observed in 12 of 18 (67%) evaluable subjects with 3 partial responses (all in TGCT) and 9 stable disease. Tissue staining indicated a decreased proportion of activated M2 macrophages within tumor samples with treatment. Conclusions: Pexidartinib can be safely administered with sirolimus. These findings support further investigation of this combination to determine clinical efficacy. Clinicaltrials.gov identifier NCT02584647.

Diffuse optical tomography breast imaging system (DOTBIS) non-invasively measures tissue concentration of hemoglobin, which is a potential biomarker of short-term response to neoadjuvant chemotherapy. We evaluated whether DOTBIS-derived measurements are modifiable with targeted therapies, including AKT inhibition and endocrine therapy. We conducted a proof of principle study in seven postmenopausal women with stage I-III breast cancer who were enrolled in pre-surgical studies of the AKT inhibitor MK-2206 (n = 4) or the aromatase inhibitors exemestane (n = 2) and letrozole (n = 1). We performed DOTBIS at baseline (before initiation of therapy) and post-therapy in the affected breast (tumor volume) and contralateral, unaffected breast, and measured tissue concentrations (in μM) of total hemoglobin (ctTHb), oxyhemoglobin (ctO2Hb), and deoxyhemoglobin (ctHHb), as well as water fraction (%). We found consistent decreases in DOTBIS-measured hemoglobin concentrations in tumor volume, with median percent changes for ctTHb, ctHHb, ctO2Hb, and water fraction for the entire cohort of − 27.1% (interquartile range [IQR] 37.5%), − 49.8% (IQR 29.3%), − 33.5% (IQR 47.4%), and − 3.6% (IQR 10.6%), respectively. In the contralateral breast, median percent changes for ctTHb, ctHHb, ctO2Hb, and water fraction were + 1.8% (IQR 26.7%), − 8.6% (IQR 29.3%), + 6.2% (IQR 29.5%), and + 1.9% (IQR 30.7%), respectively. We demonstrated that DOTBIS-derived measurements are modifiable with pre-surgical AKT inhibition and endocrine therapy, supporting further investigation of DOTBIS as a potential imaging assessment of response to neoadjuvant targeted therapies in early stage breast cancer.

The growing interest in new classes of anti-cancer agents, such as molecularly-targeted therapies and immunotherapies with modes of action different from those of cytotoxic chemotherapies, has changed the dose-finding paradigm. In this setting, the observation of late-onset toxicity endpoints may be precluded by treatment and trial discontinuation due to disease progression, defining a competing event to toxicity. Trial designs where dose-finding is modeled in the framework of a survival competing risks model appear particularly well-suited. We aim to provide a phase I/II dose-finding design that allows dose-limiting toxicity (DLT) outcomes to be delayed or unobserved due to competing progression within the possibly long observation window. The proposed design named the Survival-continual reassessment method-12, uses survival models for right-censored DLT and progression endpoints. In this competing risks framework, cause-specific hazards for DLT and progression-free of DLT were considered, with model parameters estimated using Bayesian inference. It aims to identify the optimal dose (OD), by minimizing the cumulative incidence of disease progression, given an acceptable toxicity threshold. In a simulation study, design operating characteristics were evaluated and compared to the TITE-BOIN-ET design and a nonparametric benchmark approach. The performance of the proposed method was consistent with the complexity of scenarios as assessed by the nonparametric benchmark. We found that the proposed design presents satisfying operating characteristics in selecting the OD and safety.

Objective This research aims to evaluate the impact of eligibility criteria on recruitment and observable clinical outcomes of COVID-19 clinical trials using electronic health record (EHR) data. Materials and Methods On June 18, 2020, we identified frequently used eligibility criteria from all the interventional COVID-19 trials in ClinicalTrials.gov (n = 288), including age, pregnancy, oxygen saturation, alanine/aspartate aminotransferase, platelets, and estimated glomerular filtration rate. We applied the frequently used criteria to the EHR data of COVID-19 patients in Columbia University Irving Medical Center (CUIMC) (March 2020–June 2020) and evaluated their impact on patient accrual and the occurrence of a composite endpoint of mechanical ventilation, tracheostomy, and in-hospital death. Results There were 3251 patients diagnosed with COVID-19 from the CUIMC EHR included in the analysis. The median follow-up period was 10 days (interquartile range 4–28 days). The composite events occurred in 18.1% (n = 587) of the COVID-19 cohort during the follow-up. In a hypothetical trial with common eligibility criteria, 33.6% (690/2051) were eligible among patients with evaluable data and 22.2% (153/690) had the composite event. Discussion By adjusting the thresholds of common eligibility criteria based on the characteristics of COVID-19 patients, we could observe more composite events from fewer patients. Conclusions This research demonstrated the potential of using the EHR data of COVID-19 patients to inform the selection of eligibility criteria and their thresholds, supporting data-driven optimization of participant selection towards improved statistical power of COVID-19 trials.

Dose-finding trials aim to determine a safe dose to be tested in larger trials for efficacy. In oncology, designs generally assume conventional monotonic increasing dose-toxicity relationships, mostly with binary outcomes (e.g., dose-limiting toxicity or not), measured in the first cycle of therapy or for a fixed number of cycles. However, with new anti-cancer agents such as molecularly targeted therapies and immunotherapies, late-onset toxicities have become more frequent. Designs with prolonged observation windows and censored endpoints analyzed using survival models, appear particularly suited to these settings. Moreover, in this setting, the observation of the late-onset toxicity endpoint could be precluded by trial discontinuation due to death, progression, patient withdrawal, or physician discretion, defining a competing event to toxicity. We propose extensions of the Continual Reassessment Method (CRM) dose-finding design using survival working models for right-censored endpoints and for handling treatment discontinuation in the toxicity observation window, namely the Survival-CRM (Surv-CRM) and the informative survival-CRM (iSurv-CRM). We also developed a benchmark approach for its evaluation. In a simulation study, we compared the performance of the Surv-CRM and iSurv-CRM, to those of the Time-to-event (TITE)-CRM and the nonparametric benchmark. The performance of the proposed methods was consistent with the complexity of scenarios as assessed by the nonparametric benchmark. Without treatment discontinuations, the Surv-CRM provides proportions of correct dose selection close to those of the TITE-CRM with fewer observed toxicities and patients assigned to overtoxic dose levels. In the presence of treatment discontinuation, the iSurv-CRM outperforms the TITE-CRM in identifying the correct dose level.

Background Epidermal growth factor receptor (EGFR) is frequently overexpressed in metastatic triple-negative breast cancer (mTNBC). One strategy for overcoming resistance to EGFR inhibition is concomitant inhibition of downstream signaling. The antidiabetic drug metformin inhibits both MAPK and PI3K/mTOR pathway signaling. We evaluated the combination of erlotinib and metformin in a phase 1 study of patients with mTNBC. Patients and Methods Patients with mTNBC who had received at least one prior line of therapy for metastatic disease were eligible. Erlotinib dose was fixed at 150 mg daily. Metformin dose escalation was planned according to a 3 + 3 design. Dose-limiting toxicities (DLT) were assessed during the first 5 weeks of therapy. The primary objective was to determine the maximum tolerated dose of metformin with fixed-dose erlotinib. Secondary endpoints were response rate, stable disease rate, and progression-free survival. Results Eight patients were enrolled. The median number of prior therapies for metastatic disease was 2.5 (range, 1-6). No DLT events were reported during the DLT assessment period. Most adverse events were grade 1/2. Grade 3 diarrhea despite maximum supportive care required dose reduction of metformin in one patient. Grade 3 rash led to study withdrawal in one patient. No grade 4 adverse events were reported. The best observed response was stable disease in 2 patients (25%). Median progression-free survival was 60 days (range, 36-61 days). Conclusion Erlotinib and metformin were well tolerated in a population of pretreated mTNBC patients but did not demonstrate efficacy in this population.

Oncology dose-finding clinical trials determine the maximum tolerated dose (MTD) based on toxicity outcomes captured by clinicians. With the availability of more rigorous instruments for measuring toxicity directly from patients, there is a growing interest to incorporate patient-reported outcomes (PRO) in clinical trials to inform patient tolerability. This is particularly important for dose-finding trials to ensure the identification of a well-tolerated dose. In this paper, we propose three extensions of the continual reassessment method (CRM), termed PRO-CRMs, that incorporate both clinician and patient outcomes. The first method is a marginal modeling approach whereby clinician and patient toxicity outcomes are modeled separately. The other two methods impose a constraint using a joint outcome defined based on both clinician and patient toxicities and model them either jointly or marginally. Simulation studies show that while all three PRO-CRMs select well-tolerated doses based on clinician's and patient's perspectives, the methods using a joint outcome perform better and have similar performance. We also show that the proposed PRO-CRMs are consistent under robust model assumptions.

Background Cancer treatments are associated with a multitude of adverse events (AEs). While both nurses and physicians are involved in patient care delivery and AE assessment, very few studies have examined the differences between nurses’ and physicians’ reporting and perception of AEs. An approach was recently proposed to assess treatment burden based on reported AEs from the physician’s perspective. In this paper, we use this approach to evaluate nurses’ perception of burden, and compare nurses’ and physicians’ assessment of the overall and relative burden of AEs. Methods AE records for 334 cancer patients from a randomized clinical trial conducted by the SWOG Cancer Research Network were evaluated by 14 nurses at Columbia University Medical Center. Two nurses were randomly selected to assign a burden score from 0 to 10 based on their impression of the global burden of the captured AEs. These nurses did not interact directly with the patients. Scores were compared to previously obtained physicians scores using paired T-test and Kappa statistic. Severity scores for individual AEs were obtained using mixed-effects models with nurses assessments, and were qualitatively compared to physicians’. Results Given the same AEs, nurses’ and physicians’ perception of the burden of AEs differed. While nurses generally perceived the overall burden of AEs to be only slightly worse compared to physicians (mean average VAS score of 5.44 versus 5.14), there was poor agreement in the perception of AEs that were in mild to severe range. The percent agreement for a moderate or worse AE was 64% with a Kappa of 0.34. Nurses also assigned higher severity scores to symptomatic AEs compared to physicians (p

Diffuse optical tomography breast imaging system (DOTBIS) non-invasively measures tissue concentration of hemoglobin, which is a potential biomarker of short-term response to neoadjuvant chemotherapy. We evaluated whether DOTBIS-derived measurements are modifiable with targeted therapies, including AKT inhibition and endocrine therapy.We conducted a proof of principle study in seven postmenopausal women with stage I-III breast cancer who were enrolled in pre-surgical studies of the AKT inhibitor MK-2206 (n = 4) or the aromatase inhibitors exemestane (n = 2) and letrozole (n = 1). We performed DOTBIS at baseline (before initiation of therapy) and post-therapy in the affected breast (tumor volume) and contralateral, unaffected breast, and measured tissue concentrations (in μM) of total hemoglobin (ctTHb), oxyhemoglobin (ctOWe found consistent decreases in DOTBIS-measured hemoglobin concentrations in tumor volume, with median percent changes for ctTHb, ctHHb, ctOWe demonstrated that DOTBIS-derived measurements are modifiable with pre-surgical AKT inhibition and endocrine therapy, supporting further investigation of DOTBIS as a potential imaging assessment of response to neoadjuvant targeted therapies in early stage breast cancer.

Molecularly targeted agents and immunotherapies have prolonged administration and complicated toxicity and efficacy profiles requiring longer toxicity observation windows and the inclusion of efficacy information to identify the optimal dose. Methods have been proposed to either jointly model toxicity and efficacy, or for prolonged observation windows. However, it is inappropriate to address these issues individually in the setting of dose-finding because longer toxicity windows increase the risk of patients experiencing disease progression and discontinuing the trial, with progression defining a competing event to toxicity, and progression-free survival being a commonly used efficacy endpoint. No method has been proposed to address this issue in a competing risk framework. We propose a seamless phase I/II design, namely the competing risks continual reassessment method (CR-CRM). Given an observation window, the objective is to recommend doses that minimize the progression probability, among a set of tolerable doses in terms of toxicity risk. In toxicity-centered stage of the design, doses are assigned based on toxicity alone, and in optimization stage of the design, doses are assigned integrating both toxicity and progression information. Design operating characteristics were examined in a simulation study compared with benchmark performances, including sensitivity to time-varying hazards and correlated events. The method performs well in selecting doses with acceptable toxicity risk and minimum progression risk across a wide range of scenarios.

In recent years, the landscape in clinical trial development has changed to involve many molecularly targeted agents, immunotherapies, or radiotherapy, as a single agent or in combination. Given their different mechanisms of action and lengths of administration, these agents have different toxicity profiles, which has resulted in numerous challenges when applying traditional designs such as the 3 + 3 design in dose-finding clinical trials. Novel methods have been proposed to address these design challenges such as combinations of therapies or late-onset toxicities. However, their design and implementation require close collaboration between clinicians and statisticians to ensure that the appropriate design is selected to address the aims of the study and that the design assumptions are pertinent to the study drug. The goal of this paper is to provide guidelines for appropriate questions that should be considered early in the design stage to facilitate the interactions between clinical and statistical teams and to improve the design of dose-finding clinical trials for novel anticancer agents.

In traditional dose-finding studies, dose-limiting toxicity (DLT) is determined within a fixed time observation window where DLT is often defined as a binary outcome. In the setting of oncology dose-finding trials, often patients in advanced stage of diseases are enrolled. Therefore, disease progression may occur within the DLT observation window leading to treatment discontinuation and rendering the patient unevaluable for DLT assessment. As a result, additional patients have to be enrolled, increasing the sample size. We propose and compare several practical approaches for handling disease progression which occurs within the DLT observation window, while in the framework of the time-to-event continual reassessment method (TITE-CRM) which allows using partial observations. The approaches differ on the way they define an evaluable patient and in the way incomplete observations are included. The practical approaches, which we call strategies A, B and C, are illustrated and contrasted in the context of a single simulated trial, and compared via simulations under various scenarios of dose-progression relationship, in the setting of advanced soft-tissue sarcoma.

For patients with bacillus Calmette-Guérin unresponsive or recurrent/relapsing nonmuscle invasive bladder cancer, multi-agent intravesical trials have been limited. In this study we investigate the safety of intravesical cabazitaxel, gemcitabine and cisplatin in the salvage setting.This was a dose escalation, drug escalation trial for patients with bacillus Calmette-Guérin unresponsive or recurrent/relapsing nonmuscle invasive bladder cancer who declined or were ineligible for radical cystectomy. All patients underwent a 6-week induction regimen of sequentially administered cabazitaxel, gemcitabine and cisplatin. Complete response was defined as no cancer on post-induction transurethral bladder tumor resection and negative urine cytology, while partial response allowed for positive cytology. Responders continued with maintenance cabazitaxel and gemcitabine monthly for the first year and bimonthly for the second year.A total of 18 patients were enrolled. Mean age was 71 years, median followup was 27.8 months (range 16.3 to 46.9) and mean number of previous rounds of intravesical therapies before trial enrollment was 3.7. Nine patients (50%) had received intravesical chemotherapy after bacillus Calmette-Guérin and 7 (39%) were previously treated in a phase I clinical trial setting. At enrollment 6 (33%) subjects had T1 disease and 13 (72%) had carcinoma in situ. There were no dose limiting toxicities. Initial partial and complete response rates were 94% and 89%, respectively. At 1 year recurrence-free survival was 0.83 (range 0.57 to 0.94) and at 2 years estimated recurrence-free survival was 0.64 (0.32 to 0.84).In this high risk and highly pretreated cohort of bacillus Calmette-Guérin unresponsive or recurrent/relapsing nonmuscle invasive bladder cancer cases combination intravesical cabazitaxel, gemcitabine and cisplatin was a well tolerated and potentially effective regimen.

In traditional dose-finding studies, dose-limiting toxicity (DLT) is determined within a fixed time observation window where DLT is often defined as a binary outcome. In the setting of oncology dose-finding trials, often patients in advanced stage of diseases are enrolled. Therefore, disease progression may occur within the DLT observation window leading to treatment discontinuation and rendering the patient unevaluable for DLT assessment. As a result, additional patients have to be enrolled, increasing the sample size. We propose and compare several practical approaches for handling disease progression which occurs within the DLT observation window, while in the framework of the time-to-event continual reassessment method (TITE-CRM) which allows using partial observations. The approaches differ on the way they define an evaluable patient and in the way incomplete observations are included. The practical approaches, which we call strategies A, B and C, are illustrated and contrasted in the context of a single simulated trial, and compared via simulations under various scenarios of dose-progression relationship, in the setting of advanced soft-tissue sarcoma.

Background A summary measure that reflects the global toxicity burden of a treatment is essential for comparing therapies. Current toxicity summaries are ad hoc and do not distinguish among the severities and types of toxicities. Here a clinically feasible method for estimating the toxicity burden, based on a prospective evaluation of the toxicity profile of a randomized clinical trial of 746 prostate cancer patients conducted by SWOG, is proposed. Methods For 308 patients who experienced severe toxicities, 2 physicians randomly selected from 14 physicians evaluated each toxicity profile and assigned a visual analogue scale score (0-10) based on their impression of the global burden of toxicities. With mixed-effects models, severity scores and a 10-point toxicity burden score (TBS) were derived from 27 predictors accounting for severe (grade 3) and life-threatening (grade 4) toxicities for each organ class of the Common Terminology Criteria for Adverse Events. Results For most organ classes, grade 3 toxicities had a TBS of 4.14 (95% confidence interval [CI], 3.65-4.63), but infections, cardiovascular events, and pulmonary events had a higher TBS with differences of 0.87 (95% CI, 0.53-1.21), 0.88 (95% CI, 0.51-1.25), and 0.73 (95% CI, 0.22-1.24), respectively. Moreover, most grade 4 events had a higher TBS than grade 3 events, except for hemorrhaging, pain, metabolic events, and musculoskeletal events. The intrarater and interrater correlations were 0.91 and 0.59, respectively. Conclusions The burden of toxicity grades differs with toxicity types. A TBS provides a toxicity burden summary that incorporates physicians' perspectives and differentiates between severe and life-threatening toxicities and organ classes. Cancer 2018;124:858-64. © 2017 American Cancer Society.

Purpose The current dose-finding methodology for estimating the maximum tolerated dose of investigational anticancer agents is based on the cytotoxic chemotherapy paradigm. Molecularly targeted agents (MTAs) have different toxicity profiles, which may lead to more long-lasting mild or moderate toxicities as well as to late-onset and cumulative toxicities. Several approved MTAs have been poorly tolerated during long-term administration, leading to postmarketing dose optimization studies to re-evaluate the optimal treatment dose. Using data from completed bortezomib dose-finding trials, we explore its toxicity profile, optimize its dose, and examine the appropriateness of current designs for identifying an optimal dose. Patients and Methods We classified the toxicities captured from 481 patients in 14 bortezomib dose-finding studies conducted through the National Cancer Institute Cancer Therapy Evaluation Program, computed the incidence of late-onset toxicities, and compared the incidence of dose-limiting toxicities (DLTs) among groups of patients receiving different doses of bortezomib. Results A total of 13,008 toxicities were captured: 46% of patients’ first DLTs and 88% of dose reductions or discontinuations of treatment because of toxicity were observed after the first cycle. Moreover, for the approved dose of 1.3 mg/m2, the estimated cumulative incidence of DLT was > 50%, and the estimated cumulative incidence of dose reduction or treatment discontinuation because of toxicity was nearly 40%. Conclusions When considering the entire course of treatment, the approved bortezomib dose exceeds the conventional ceiling DLT rate of 20% to 33%. Retrospective analysis of trial data provides an opportunity for dose optimization of MTAs. Future dose-finding studies of MTAs should take into account late-onset toxicities to ensure that a tolerable dose is identified for future efficacy and comparative trials.

Conventional dose finding methods require the dichotomization of toxicity outcome measures generally collected in an ordinal scale. To improve efficiency and include more information on the gradation of toxicities, a sequential likelihood procedure that accounts for multiple toxicity constraints is proposed to differentiate the tolerance for toxicity of various degrees of severity under a novel class of multiplicative models, and the asymptotic properties of the procedure under certain model misspecification are established.

In advanced stage patients enrolled in dose-finding trials, it is difficult to assess delayed toxicities because frequently patients discontinue after one or two cycles of treatment. Patients enrolled in phase 2 trials are typically followed longer to assess efficacy. Thus, their data may be useful for evaluating long-term tolerability. We illustrate this using as example two phase 2 bortezomib trials (total N = 172) conducted by SWOG. While treatment-related severe toxicity rates based on cycle 1 were acceptable (23% and 31%), they were notably higher over extended administration (37% and 70%). This additional information should be considered when designing subsequent trials.

Obesity may negatively affect survival in breast cancer (BC), but studies are conflicting, and associations may vary by tumor subtypes and race/ethnicity groups.In a retrospective review, we identified 273 women with invasive BC administered Adriamycin/Taxane-based neoadjuvant chemotherapy from 2004 to 2016 with body mass index (BMI) data at diagnosis. Obesity was defined as BMI ≥30. Associations between obesity and event-free survival (EFS), using STEEP events, and overall survival (OS), using all-cause mortality, were assessed overall and stratified by tumor subtype [[Hormone Receptor Positive (HR+)/HER2-, HER2+, and Triple-Negative Breast Cancer (TNBC])] in our diverse population.Median follow-up was 32.6 months (range 5.7-137.8 months). Overall, obesity was associated with worse EFS (HR 1.71, 95% CI 1.03-2.84, p = 0.04) and a trend towards worse OS (p = 0.13). In HR+/HER2- disease (n = 135), there was an interaction between obesity and hormonal therapy with respect to OS but not EFS. In those receiving tamoxifen (n = 33), obesity was associated with worse OS (HR 9.27, 95% CI 0.96-89.3, p = 0.05). In those receiving an aromatase inhibitor (n = 89), there was no association between obesity and OS. In TNBC (n = 44), obesity was associated with worse EFS (HR 2.62, 95% CI 1.03-6.66, p = 0.04) and a trend towards worse OS (p = 0.06). In HER2+ disease (n = 94), obesity was associated with a trend towards worse EFS (HR 3.37, 95% CI 0.97-11.72, p = 0.06) but not OS. Race/ethnicity was not associated with survival in any subtype, and there were no interactions with obesity on survival.Obesity may negatively impact survival, with differences among tumor subtypes.

Background Invasive pleomorphic lobular carcinoma (IPLC) has been associated with a worse prognosis compared with classic invasive lobular carcinoma (cILC); however, studies are small and conflicting. We seek to examine the prognosis of women with IPLC compared with cILC. Methods A retrospective review of women with breast cancer at a single institution from 2003 to 2012 identified 193 women with invasive lobular carcinoma (ILC). IPLC was defined as ILC with a pathological description of primarily pleomorphic features and Nottingham histological grade score of 7, 8, or 9 or overall grade of 3 or mixed classic/pleomorphic features and overall grade of 3. All others were designated cILCs. Clinicopathologic variables, progression-free survival (PFS), per STEEP criteria, and overall survival (OS), using all-cause mortality, were examined in both groups. Results Of the 193 women, 46 (24%) had IPLC and 147 (76%) had cILC. The IPLC group had significantly higher stage at diagnosis and more Hispanic women, but there were no differences in other clinicopathologic features or treatment. Median follow-up was 57 months (0.1-155 months). In univariate analysis, IPLC was associated with worse PFS (log-rank P = .09, Wilcoxon P = .01) but no significant differences in OS (log-rank P = .20, Wilcoxon P = .16). In multivariate models adjusting for stage, IPLC was not significantly associated with PFS (hazard ratio [HR] 1.43; 95% confidence interval [CI], 0.73-2.79; P = .30) or OS (HR 1.52; 95% CI, 0.58-4.01; P = .40). Conclusions IPLC was initially associated with worse PFS, but this was attenuated after adjustment for cancer stage, and there were no differences in OS.

The continual reassessment method (CRM) was proposed in a Bayesian framework whereby the first patient is assigned to the prior guess of the maximum tolerated dose which is usually not the lowest dose level. This assignment may lead to safety concerns in practice because physicians usually prefer not to skip lower dose levels before escalating to the higher dose levels. The two-stage CRM was proposed to address such concern whereby model based dose escalation is preceded by a pre-specified escalating sequence starting from the lowest dose level. While a theoretical framework to build the two-stage CRM has been proposed, the selection of the initial dose escalating sequence, generally referred to as the initial design, remains arbitrary, either by specifing cohorts of three patients or by trial and error through extensive simulations. Motivated by a currently ongoing oncology dose finding study for which physicians stated their desire to start from the lowest dose even though the maximum tolerated dose was thought to be one of the higher dose levels, we proposed a systematic approach for selecting the initial design for the two-stage CRM. The initial design obtained using the proposed algorithm yields better operating characteristics compared to using a cohort of three initial design with a calibrated CRM. The proposed algorithm simplifies and provides a systematic approach for the selection of initial design for the two-stage CRM. Moreover, initial designs to be used as reference for planning a two-stage CRM are provided.

Recently, there has been a surge of early phase trials of molecularly targeted agents (MTAs) and immunotherapies. These new therapies have different toxicity profiles compared to cytotoxic therapies. MTAs can benefit from new trial designs that allow inclusion of low-grade toxicities, late-onset toxicities, addition of an efficacy endpoint, and flexibility in the specification of a target toxicity probability. To study the degree of adoption of these methods, we conducted a Web of Science search of articles published between 2008 and 2014 that describe phase 1 oncology trials. Trials were categorized based on the dose-finding design used and the type of drug studied. Out of 1,712 dose-finding trials that met our criteria, 1,591 (92.9%) utilized a rule-based design, and 92 (5.4%; range 2.3% in 2009 to 9.7% in 2014) utilized a model-based or novel design. Over half of the trials tested an MTA or immunotherapy. Among the MTA and immunotherapy trials, 5.8% used model-based methods, compared to 3.9% and 8.3% of the chemotherapy or radiotherapy trials, respectively. While the percentage of trials using novel dose-finding designs has tripled since 2007, the adoption of these designs continues to remain low.

Purpose: The cutoff values currently used to categorize tumor response to therapy are neither biologically based nor tailored for measurement reproducibility with contemporary imaging modalities. Sources and magnitudes of discordance in response assessment in metastatic colorectal cancer (mCRC) are unknown. Experimental Design: A subset of patients' CT images of chest, abdomen, and pelvis were randomly chosen from a multicenter clinical trial evaluating insulin-like growth factor receptor type 1–targeted therapy in mCRC. Using Response Evaluation Criteria in Solid Tumors (RECIST), three radiologists selected target lesions and measured “uni” (maximal diameter), “bi” (product of maximal diameter and maximal perpendicular diameter), and “vol” (volume) on baseline and 6-week posttherapy scans in the following ways: (i) each radiologist independently selected and measured target lesions and (ii) one radiologist's target lesions were blindly remeasured by the others. Variability in relative change of tumor measurements was analyzed using linear mixed effects models. Results: Three radiologists independently selected 138, 101, and 146 metastatic target lesions in the liver, lungs, lymph nodes, and other organs (e.g., peritoneal cavity) in 29 patients. Of 198 target lesions total, 33% were selected by all three, 28% by two, and 39% by one radiologist. With independent selection, the variability in relative change of tumor measurements was 11% (uni), 19% (bi), and 22% (vol), respectively. When measuring the same lesions, the corresponding numbers were 8%, 14%, and 12%. Conclusions: The relatively low variability in change of mCRC measurements suggests that response criteria could be modified to allow more accurate and sensitive CT assessment of anticancer therapy efficacy. Clin Cancer Res; 20(13); 3560–8. ©2014 AACR.

This paper deals with the design of the likelihood continual reassessment method, which is an increasingly widely used model-based method for dose-finding studies. It is common to implement the method in a two-stage approach, whereby the model-based stage is activated after an initial sequence of patients has been treated. While this two-stage approach is practically appealing, it lacks a theoretical framework, and it is often unclear how the design components should be specified. This paper develops a general framework based on the coherence principle, from which we derive a design calibration process. A real clinical-trial example is used to demonstrate that the proposed process can be implemented in a timely and reproducible manner, while offering competitive operating characteristics. We explore the operating characteristics of different models within this framework and show the performance to be insensitive to the choice of dose-toxicity model.

Various prognostic indicators have been investigated in neoadjuvant chemotherapy (NAC)-treated invasive breast cancer (BC). Our study examines if lymphovascular invasion (LVI) is an independent predictor of survival in women receiving NAC. We performed a retrospective analysis in 166 women with operable invasive BC who underwent adriamycin- and taxane-based NAC between 2000 and 2013. The presence of LVI was noted in breast excisions following NAC. Associations between progression-free and overall survival and LVI and other clinicopathologic variables were assessed. Median follow-up was 31 months (range 1.4-153 months) with a total of 56 events and 24 deaths from any cause. LVI was found in 74 of 166 patients (45 %). In univariate analysis, the presence of LVI was associated with worse progression-free survival (HR 3.37, 95 % CI 1.87-6.06, p

CONTEXT & QUESTION ASKED: Exploring the relationship among adverse events is important because those that arise from a common mechanism are amenable to a common intervention, which can improve symptom management, quality of life, and treatment adherence. To date, symptom cluster studies have used patient-reported data, which are not always available in clinical trials. In this study, we proposed using the National Cancer Institute Common Terminology Criteria for Adverse Events (CTCAE) to identify adverse event clusters because the CTCAE are collected as standard practice and can therefore be used when patient-reported outcomes are unavailable. Hence, is it feasible to identify severe adverse events clusters from data captured using the CTCAE in clinical trials? SUMMARY ANSWER: Six severe adverse events clusters were identified in patients with advanced prostate cancer. Identifying adverse events clusters using CTCAE data from clinical trials is feasible. METHODS: A variable-based hierarchical cluster analysis was conducted using the CTCAE data captured from 323 patients who experienced at least one grade 3 or higher adverse event in an advanced prostate cancer randomized clinical trial conducted by SWOG (S9916). BIAS, CONFOUNDING FACTOR(S), DRAWBACKS: The difficulty of using adverse event data from clinical trials is that often not all adverse events are recorded. In our study, only the highest severity grade for each adverse event type was recorded, and only grade 3 or higher adverse events were captured reliably. Moreover, in contrast to previous publications on symptom cluster that used patient-reported outcomes, the CTCAE is clinician reported and may not accurately reflect the presence of patient symptoms and the severity of these symptoms. REAL-LIFE IMPLICATIONS: Capturing adverse events using the CTCAE, which is standard practice in all clinical trials, can be used to understand the relationships among adverse events and to identify adverse events clusters when patient-reported outcomes are unavailable. [Figure: see text]

The continual reassessment method (CRM) is an adaptive model-based design used to estimate the maximum tolerated dose in phase I clinical trials. Asymptotically, the method has been shown to select the correct dose given that certain conditions are satisfied. When sample size is small, specifying a reasonable model is important. While an algorithm has been proposed for the calibration of the initial guesses of the probabilities of toxicity, the calibration of the prior distribution of the parameter for the Bayesian CRM has not been addressed. In this paper, we introduce the concept of least informative prior variance for a normal prior distribution. We also propose two systematic approaches to jointly calibrate the prior variance and the initial guesses of the probability of toxicity at each dose. The proposed calibration approaches are compared with existing approaches in the context of two examples via simulations. The new approaches and the previously proposed methods yield very similar results since the latter used appropriate vague priors. However, the new approaches yield a smaller interval of toxicity probabilities in which a neighboring dose may be selected.

Purpose The proteasome inhibitor bortezomib may enhance activity of chemoimmunotherapy in lymphoma. We evaluated dose-escalated bortezomib plus standard cyclophosphamide, doxorubicin, vincristine, and prednisone (CHOP) plus rituximab (R) in patients with diffuse large B-cell lymphoma (DLBCL) and mantle cell lymphoma (MCL). Patients and Methods Seventy-six subjects with untreated DLBCL (n = 40) and MCL (n = 36) received standard CHOP every 21 days (CHOP-21) with R plus bortezomib at 0.7 mg/m2 (n = 4), 1.0 mg/m2 (n = 9), or 1.3 mg/m2 (n = 63) on days 1 and 4 for six cycles. Results Median age was 63 years (range, 20 to 87), and International Prognostic Index (IPI) scores were generally unfavorable (39% with IPI of 2, and 49% with IPI of 3 to 5), as were Mantle Cell Lymphoma International Prognostic Index scores in patients with MCL (28% intermediate risk and 39% high risk). Toxicity was manageable, including neuropathy in 49 subjects (8% grade 2 and 4% grade 3) and grade 3/4 anemia (13%), neutropenia (41%), and thrombocytopenia (25%). For DLBCL, the evaluable overall response rate (ORR) was 100% with 86% complete response (CR)/CR unconfirmed (CRu; n = 35). Intent-to-treat (ITT, n = 40) ORR was 88% with 75% CR/CRu, 2-year progression-free survival (PFS) of 64% (95% CI, 47% to 77%) and 2-year overall survival (OS) of 70% (95% CI, 53% to 82%). For MCL, the evaluable ORR was 91% with 72% CR/CRu (n = 32). The ITT (n = 36) ORR was 81% with 64% CR/CRu, 2-year PFS 44% (95% CI, 27% to 60%) and 2-year OS 86% (95% CI, 70% to 94%). IPI and MIPI correlated with survival in DLBCL and MCL, respectively. Unlike in DLBCL treated with R-CHOP alone, nongerminal center B cell (non-GCB) and GCB subtypes had similar outcomes. Conclusion Bortezomib with R-CHOP-21 can be safely administered and may enhance outcomes, particularly in non-GCB DLBCL, justifying randomized studies.

Traumatic brain injury (TBI) is a major cause of death and disability. In the United States alone approximately 1.4 million sustain a TBI each year, of which 50,000 people die, and over 200,000 are hospitalized. Despite numerous prior clinical trials no standard pharmacotherapy for the treatment of TBI has been established. Citicoline, a naturally occurring endogenous compound, offers the potential of neuroprotection, neurorecovery, and neurofacilitation to enhance recovery after TBI. Citicoline has a favorable side-effect profile in humans and several meta-analyses suggest a benefit of citicoline treatment in stroke and dementia. COBRIT is a randomized, double-blind, placebo-controlled, multi-center trial of the effects of 90 days of citicoline on functional outcome in patients with complicated mild, moderate, and severe TBI. In all, 1292 patients will be recruited over an estimated 32 months from eight clinical sites with random assignment to citicoline (1000 mg twice a day) or placebo (twice a day), administered enterally or orally. Functional outcomes are assessed at 30, 90, and 180 days after the day of randomization. The primary outcome consists of a set of measures that will be analyzed as a composite measure using a global test procedure at 90 days. The measures comprise the following core battery: the California Verbal Learning Test II; the Controlled Oral Word Association Test; Digit Span; Extended Glasgow Outcome Scale; the Processing Speed Index; Stroop Test part 1 and Stroop Test part 2; and Trail Making Test parts A and B. Secondary outcomes include survival, toxicity, and rate of recovery.

Six-minute walk testing (6MWT) and cardiopulmonary exercise testing (CPX) are used to evaluate impairment in emphysema. However, the extent of impairment in these tests as well as the correlation of these tests with each other and lung function in advanced emphysema is not well characterized. During screening for the National Emphysema Treatment Trial, maximum ergometer CPX and 6MWT were performed in 1,218 individuals with severe COPD with an average FEV(1) of 26.9 +/- 7.1 % predicted. Predicted values for 6MWT and CPX were calculated from reference equations. Correlation coefficients and multivariable regression models were used to determine the association between lung function, quality of life (QOL) scores, and exercise measures. The two forms of exercise testing were correlated with each other (r = 0.57, p < 0.0001). However, the impairment of performance on CPX was greater than on the 6MWT (27.6 +/- 16.8 vs. 67.9 +/- 18.9 % predicted). Both exercise tests had similar correlation with measures of QOL, but maximum exercise capacity was better correlated with lung function measures than 6-minute walk distance. After adjustment, 6MWD had a slightly greater association with total SGRQ score than maximal exercise (effect size 0.37 +/- 0.04 vs. 0.25 +/- 0.03 %predicted/unit). Despite advanced emphysema, patients are able to maintain 6MWD to a greater degree than maximum exercise capacity. Moreover, the 6MWT may be a better test of functional capacity given its greater association with QOL measures whereas CPX is a better test of physiologic impairment.

Adult T-cell Leukemia/Lymphoma (ATLL) is resistant to chemotherapy and the acute and lymphomatous subtypes of disease have a dismal prognosis. There is no standard therapy for relapsed or refractory disease in Western countries and new agents are being explored. Lenalidomide is an immunomodulatory agent with promising activity in hematologic malignancies, including non-Hodgkin's lymphoma and represents a novel therapeutic option. We investigated the safety and efficacy of lenalidomide (25 mg once daily) on Days 1 to 21 of every 28-day cycle in a phase two study of patients with relapsed or refractory ATLL. The study was closed early due to limited patient accrual. Of 4 patients enrolled, no response was observed in two patients evaluable for response. No grade 3 or 4 toxicity was noted. In this small single institution experience, lenalidomide showed no clinical activity and manageable toxicity in two evaluable patients with relapsed or refractory ATLL. This experience highlights the need for collaborative studies of this rare disease and enrolling patients on clinical trials promptly.

Objective: Our goal is to determine short-term intraindividual biologic and measurement variability in spirometry of patients with a wide range of stable chronic obstructive pulmonary disease severity, using datasets from the National Emphysema Treatment Trial (NETT) and the Lung Health Study (LHS). This may be applied to determine criteria that can be used to assess a clinically meaningful change in spirometry. Methods: A total of 5,886 participants from the LHS and 1,215 participants from the NETT performed prebronchodilator spirometry during two baseline sessions. We analyzed varying criteria for absolute and percent change of FEV1 and FVC to determine which criterion was met by 90% of the participants. Results: The mean ± SD FEV1 for the initial session was 2.64 ± 0.60 L (75.1 ± 8.8% predicted) for the LHS and 0.68 ± 0.22 L (23.7 ± 6.5% predicted) for the NETT. The mean ± SD number of days between test sessions was 24.9 ± 17.1 for the LHS and 85.7 ± 21.7 for the NETT. As the degree of obstruction increased, the intersession percent difference of FEV1 increased. However, the absolute difference between tests remained relatively constant despite the severity of obstruction (0.106 ± 0.10 L). Over 90% of participants had an intersession FEV1 difference of less than 225 ml irrespective of the severity of obstruction. Conclusions: Absolute changes in FEV1 rather than percent change should be used to determine whether patients with chronic obstructive pulmonary disease have improved or worsened between test sessions.

Background and objective The Mid-Atlantic Cancer Genetics Network (MACGN) targets individuals from cancer risk assessment clinics for recruitment into a national hereditary cancer registry. We sought to determine whether different recruitment methods used in a high-risk breast and ovarian cancer clinic yielded differences into enrollment into MACGN. Methods Two methods of recruitment were compared over an 8-month period. A passive recruitment technique, used during the first 4 months of recruitment, involved distribution of a brochure. An active recruitment method, used during the second 4-month period, required a MACGN recruiter to approach patients and initiate a brief discussion of the registry. Results During the first 4-month period, 158 eight patients were seen in the clinic and 142 were seen in the second 4-month period. During passive recruitment, 20% of available patients were approached, compared with 63% during active recruitment. Active recruitment also resulted in fourfold increase over passive recruitment in enrollment (from 15.6% to 67.4%). Conclusion Allocating research staff specifically for recruitment and personal contact with potential participants is effective in achieving increased enrollment into a national hereditary cancer research registry.

The National Emphysema Treatment Trial (NETT) was a multicenter randomized controlled trial comparing medical treatment plus lung-volume-reduction surgery (LVRS) to medical treatment alone for the treatment of severe emphysema. The primary outcomes specified for the trial were mortality from all causes and change in functional status as indicated by the change in maximum exercise capacity measured two years after randomization. A secondary objective of the trial was to define criteria to identify subgroups of patients at risk of harm or benefit from LVRS. Stopping guidelines for safety and efficacy based on 30-day mortality and a combination of overall mortality and functional status at two years were specified at the inception of the trial. Although specific subgroups of patients likely to benefit were not identified in advance, several clinical factors were specified as likely to be important in defining subgroups with differential outcome. In May 2001, with 40% of expected deaths accrued, the Data and Safety Monitoring Board determined that a subgroup of patients was at significantly higher risk of 30-day mortality from LVRS without counterbalancing evidence of functional benefit, and recommended that the protocol be modified to exclude further randomization of such patients. The trial's sponsor, the National Heart, Lung and Blood Institute, accepted the recommendation, which was rapidly communicated to participating clinics. This paper describes the operational aspects of identification of the subgroup and implementation of the recommendation to continue the trial, but to terminate enrollment of new patients in the subgroup. These aspects include notification of the investigators, the institutional review boards, the Research Group, the patients and the medical community. We also describe the repercussions of the publication and the misinterpretations of the results based on media coverage.

Objectives To evaluate the utility of methylation-specific polymerase chain reaction analysis of the pi-class glutathione- S -transferase (GSTP1) gene promoter in prostatic secretions for cancer detection and prognostication. Methods Prostatic secretions were obtained from a total of 100 radical prostatectomy specimens immediately after surgical extirpation. GSTP1 promoter methylation was assessed by methylation-specific polymerase chain reaction analysis using two different primer sets. Correlations between GSTP1 promoter methylation and clinical and pathologic variables were examined. Results The sensitivity for detection of GSTP1 methylation in prostatic secretions from men with clinically localized prostate cancer using two different primer sets was 76% and 54%. Methylation of the GSTP1 promoter was detected by both primer sets in 44% and by at least one primer set in 86% of the prostatic secretion specimens. The degree of methylation detected in the prostatic secretions was associated with the extent of cancer (predominant involvement of one or both sides of the gland; P = 0.02) and increasing age ( P = 0.009). Conclusions Genomic DNA with GSTP1 promoter methylation can be detected in prostatic secretion specimens from the great majority of men with localized prostate cancer. Assays of GSTP1 promoter methylation in prostatic massage fluid or ejaculate may therefore serve as useful adjuncts to existing methods for prostate cancer screening and prognostication.

Objective: The National Emphysema Treatment Trial (NETT) is a randomized, multicenter, clinical trial comparing two different methods of lung volume reduction surgery plus medical therapy to medical treatment alone in patients with advanced emphysema. The purpose of this article was to use the data obtained from the NETT to assess the ability of the single-breath diffusing capacity of the lung for carbon monoxide (DLCO) to predict the need for supplemental oxygen during rest and exercise, as well as overall exercise capacity. Methods: One thousand seventy-one patients with a mean ( SD) FEV1 of 0.76 0.24 L were studied. Results: The mean DLCO was 8.0 3.1 mL/min/mm Hg (28 10% of predicted). The mean resting PaO2 was 64 10 mm Hg. There was a positive association between DLCO and both resting PaO2 and the requirement for oxygen during a walk at 1 mile per hour (mph). The odds of requiring supplemental oxygen while walking at 1 mph was nine times greater in patients with a DLCO of 35% of predicted, after adjusting for age and gender. Eighty four percent of individuals with a DLCO of 35%. Conclusion: Our results demonstrated that patients with reduced DLCO, particularly when < 20% of predicted, are more likely to have reduced PaO2 at rest and are more likely to require supplemental oxygen with low levels of activity. Thus, DLCO is useful in evaluating whether supplemental oxygen is required for exercise. (CHEST 2003; 123:1394 –1400)

Summary. Between January 1987 and January 1997, 69 eligible patients with acute myeloid leukaemia (AML) in either second (CR2) or third (CR3) complete remission (CR2 = 60, CR3 = 9) underwent 4-hydroperoxycyclophosphamide-purged autologous bone marrow transplantation (BMT) at the Johns Hopkins Oncology Center. The patients' median age was 27 years (range 1–62) and all received busulphan and cyclophosphamide as their preparative regimen. The probability of event-free survival (EFS) at 5 years was 30%[95% Confidence Interval (CI): 19–42%] for CR2 patients and 22% (3–51%) for those in CR3, with a median follow up of 8 years in the surviving group. The median time to an absolute neutrophil count of 0·5 × 109/l was 45 d (range 20–185). Relapse was the major cause of failure with a relapse rate of 55% in CR2 and 44% in CR3, while the non-relapse, transplant-related mortality rate was 15% in CR2 and 33% in CR3. In univariate analysis, patient age, cytogenetics, white blood cell count at presentation, CR1 duration and the sensitivity of clonogeneic leukaemia (CFU-L) in the graft to 4HC were all prognostic for EFS. Using each of these significant variables in multivariate modelling, patient age and sensitivity of CFU-L to 4HC were determined to be predictors of EFS. 4HC-purged autologous BMT produced results similar to allogeneic BMT for AML patients beyond first remission.

Alcohol ingestion activates the autonomic nervous system and the hypothalamic-pituitary-adrenal axis. This study examined naltrexone effects on alcohol-induced increases in physiological responses and their association with alcohol liking. Using a within-subjects design, heavy drinking men (N = 19) were maintained on each of three naltrexone doses (0, 50, and 100 mg, p.o.) over an 8-day inpatient stay. Within each naltrexone dose, subjects had three alcohol challenge sessions (none, moderate, high) in random order. Autonomic, subjective and endocrine measurements were collected regularly prior to and following alcohol administration. High-dose alcohol ingestion increased heart rate, diastolic blood pressure, skin temperature, ACTH, cortisol and liking of drink effects; responses following the moderate alcohol dose were less consistent. Naltrexone significantly dampened alcohol-induced increases in heart rate, diastolic blood pressure, hormone levels and subjective liking of drink effects. This dampening of cardiovascular and hormonal responses may contribute to the therapeutic effectiveness of naltrexone for reducing alcohol liking and decreasing relapse in alcohol-dependent persons.