Sleep disturbance in patients with cancer: a feasibility study of multimodal therapy.

BACKGROUND: Our aim was to determine feasibility and effect sizes of bright light therapy (BLT), melatonin (MLT), methylphenidate (MP) and eight combinations (BLT+MLT+MP, BLT+MLT, BLT+MP, BLT alone, MLT+MP, MLT alone, MP alone, placebo for BLT, MLT and MP) defined as multimodal therapy (MMT), to improve sleep quality (SQ) (Pittsburgh Sleep Quality Index (PSQI)) from baseline to day 15. We also examined the effects of MMT on insomnia, fatigue, depression, quality of life and actigraphy. METHODS: Patients with advanced cancer with poor SQ (PSQI ≥5) were eligible. Using a double-blind randomised factorial study design, patients were randomised into 1 of the 8 arms for 2 weeks. Feasibility and effect sizes were assessed. RESULTS: 81% (54/67) of randomised patients completed the study. There were no differences in the demographics and SQ between groups. The adherence rates for BLT, MLT and MP were 93%, 100% and 100%, respectively. BLT+MLT+placebo of MP; BLT+placebo of MLT+placebo of MP; BLT+MLT+MP showed an effect size (Cohen's d) for change in PSQI scores of 0.64, 0.57 and 0.63, respectively. PSQI change using linear regression showed BLT (n=29) has effect size of 0.46, p=0.017; MLT (n=26), 0.24, p=0.20; MP (n=26), 0.06, p=0.46. No significant differences were observed in scores for insomnia, fatigue, depression, quality of life and actigraphy. There were no differences in adverse events by groups(p=0.80). CONCLUSIONS: The use of MMT to treat SQ disturbance was feasible. BLT+MLT showed the most promising effect size in improvement in SQ, and additional larger studies are needed. TRIAL REGISTRATION NUMBER: NCT01628029.

Incorporation of clinical and biological factors improves prognostication and reflects contemporary clinical practice.

We developed prognostic models for breast cancer-specific survival (BCSS) that consider anatomic stage and other important determinants of prognosis and survival in breast cancer, such as age, grade, and receptor-based subtypes with the intention to demonstrate that these factors, conditional on stage, improve prediction of BCSS. A total of 20,928 patients with stage I-III invasive primary breast cancer treated at The University of Texas MD Anderson Cancer Center between 1990 and 2016, who received surgery as an initial treatment were identified to generate prognostic models by Fine-Gray competing risk regression model. Model predictive accuracy was assessed using Harrell's C-index. The Aalen-Johansen estimator and a selected Fine-Gray model were used to estimate the 5-year and 10-year BCSS probabilities. The performance of the selected model was evaluated by assessing discrimination and prediction calibration in an external validation dataset of 29,727 patients from the National Comprehensive Cancer Network (NCCN). The inclusion of age, grade, and receptor-based subtype in addition to stage significantly improved the model predictive accuracy (C-index: 0.774 (95% CI 0.755-0.794) vs. 0.692 for stage alone, p < 0.0001). Young age (<40), higher grade, and TNBC subtype were significantly associated with worse BCSS. The selected model showed good discriminative ability but poor calibration when applied to the validation data. After recalibration, the predictions showed good calibration in the training and validation data. More refined BCSS prediction is possible through a model that has been externally validated and includes clinical and biological factors.

A Double-Blind, Randomized, Placebo-Controlled Trial of Panax Ginseng for Cancer-Related Fatigue in Patients With Advanced Cancer.

Background: Despite the high frequency, severity, and effects of cancer-related fatigue (CRF) on the quality of life (QoL) of patients with cancer, limited treatment options are available. The primary objective of this study was to compare the effects of oral Panax ginseng extract (PG) and placebo on CRF. Secondary objectives were to determine the effects of PG on QoL, mood, and function. Methods: In this randomized, double-blind, placebo-controlled study, patients with CRF ≥4/10 on the Edmonton Symptom Assessment System (ESAS) were eligible. Based on a pilot study, we randomized patients to receive either 400 mg of standardized PG twice daily or a matching placebo for 28 days. The primary end point was change in the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) subscale from baseline to day 29. Results: Of 127 patients, 112 (88.2%) were evaluable. The mean (SD) FACIT-F subscale scores at baseline, day 15, and day 29 were 22.4 (10.1), 29.9 (10.6), and 30.1 (11.6) for PG (P<.001), and 24.0 (9.4), 30.0 (10.1), and 30.4 (11.5) for placebo (P<.001). Mean (SD) improvement in the FACIT-F subscale at day 29 was not significantly different in the PG than in the placebo group (7.5 [12.7] vs 6.5 [9.9]; P=.67). QoL, anxiety, depression, symptoms, and functional scores were not significantly different between the PG and placebo groups. Improvement in the FACIT-F subscale correlated with baseline scores (P=.0005), Hospital Anxiety and Depression Scale results (P=.032), and sex (P=.023). There were fewer any-grade toxicities in the PG versus placebo group (28/63 vs 33/64; P=.024). Conclusions: Both PG and placebo result in significant improvement in CRF. PG was not significantly superior to placebo after 4 weeks of treatment. There is no justification to recommend the use of PG for CRF. Further studies are needed. Trial Registration: ClinicalTrials.gov identifier: NCT01375114.

Prognostic Scoring System to Risk Stratify Parathyroid Carcinoma.

BACKGROUND: Parathyroid carcinoma is a rare endocrine malignancy that lacks an established system for risk categorization. This study evaluated a prognostic scoring system for recurrence-free survival (RFS) of patients with parathyroid carcinoma. STUDY DESIGN: Patients diagnosed and confirmed to have parathyroid carcinoma and who were treated between 1980 and 2016 at The University of Texas MD Anderson Cancer Center were studied retrospectively. Univariate and multivariate Cox proportional hazards regression analyses of RFS were conducted. A prognostic scoring system was created based on multivariate analysis. RESULTS: Sixty-eight patients were evaluated. After a median follow-up of 4.6 years, 26 patients experienced a recurrence. The Kaplan-Meier RFS rates were 85% at 1 year (95% CI 77% to 95%), 67% at 2 years (95% CI 55% to 81%), and 51% at 10 years (95% CI 36% to 72%) after initial operation. Multivariate analysis demonstrated that age older than 65 years, serum calcium level >15 mg/dL, and vascular invasion were negatively correlated with RFS rate. Combining these adverse variables into a prognostic scoring system, we stratified patients into 3 risk groups: low (0 variable; 2-year RFS rate, 93%), moderate (1 variable; 2-year RFS rate, 72%), and high (2 variables; 2-year RFS rate, 27%) (p = 0.001 [log-rank test]; concordance index, 0.70; 95% CI 0.47 to 0.92). CONCLUSIONS: A prognostic scoring system using vascular invasion, age, and serum calcium level at initial parathyroidectomy can be used to predict RFS. This categorization might be helpful for clinical decisions relative to the timing and use of adjuvant therapy. Comprehensive validation using multiple cohorts will be needed to confirm applicability.

Intratumoral heterogeneity: Role of differentiation in a potentially lethal phenotype of testicular cancer.

BACKGROUND: Intratumoral heterogeneity presents a major obstacle to the widespread implementation of precision medicine. The authors assessed the origin of intratumoral heterogeneity in nonseminomatous germ cell tumor of the testis (NSGCT) and identified distinct tumor subtypes and a potentially lethal phenotype. METHODS: In this retrospective study, all consecutive patients who had been diagnosed with an NSGCT between January 2000 and December 2010 were evaluated. The histologic makeup of primary tumors and the clinical course of disease were determined for each patient. A Fine and Gray proportional hazards regression analysis was used to determine the prognostic risk factors, and the Gray test was used to detect differences in the cumulative incidence of cancer death. In a separate prospective study, next-generation sequencing was performed on tumor samples from 9 patients to identify any actionable mutations. RESULTS: Six hundred fifteen patients were included in this study. Multivariate analysis revealed that the presence of yolk sac tumor in the primary tumor (P = .0003) was associated with an unfavorable prognosis. NSGCT could be divided into 5 subgroups. Patients in the yolk sac-seminoma subgroup had the poorest clinical outcome (P = .0015). These tumors tended to undergo somatic transformation (P < .0001). Among the 9 NSGCTs that had a yolk sac tumor phenotype, no consistent gene mutation was detected. CONCLUSIONS: The current data suggest that intratumoral heterogeneity is caused in part by differentiation of pluripotent progenitor cells. Integrated or multimodal therapy may be effective at addressing intratumoral heterogeneity and treating distinct subtypes as well as a potentially lethal phenotype of NSGCT. Cancer 2016;122:1836-43. © 2016 The Authors. Cancer published by Wiley Periodicals, Inc. on behalf of American Cancer Society. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

Randomized phase II adjuvant factorial study of dose-dense temozolomide alone and in combination with isotretinoin, celecoxib, and/or thalidomide for glioblastoma.

BACKGROUND: Chemoradiation, followed by adjuvant temozolomide, is the standard treatment for newly diagnosed glioblastoma. Adding other active agents may enhance treatment efficacy. METHODS: The primary objective of this factorial phase II study was to determine if one of 3 potential chemotherapy agents added to dose-dense temozolomide (ddTMZ) improves progression-free survival (PFS) for patients with newly diagnosed glioblastoma. A prior phase I trial established the safety of combining ddTMZ with isotretinoin, celecoxib, and/or thalidomide. Adults with good performance status and no evidence of progression post chemoradiation were randomized into 8 arms: ddTMZ alone (7 days on/7 days off) or doublet, triplet, and quadruplet combinations with isotretinoin, celecoxib, and thalidomide. RESULTS: The study enrolled 155 participants with a median age of 53 years (range, 18-84 y). None of the agents demonstrated improved PFS when compared with arms not containing that specific agent. There was no difference in PFS for triplet compared with doublet regimens, although a trend for improved overall survival (OS) was seen (20.1 vs 17.0 months, P = .15). Compared with ddTMZ, the ddTMZ + isotretinoin doublet had worse PFS (10.5 vs 6.5 months, P = .043) and OS (21.2 vs 11.7 months, P = .037). Trends were also seen for worse outcomes with isotretinoin-containing regimens, but there was no impact with celecoxib or thalidomide combinations. Treatment was well tolerated with expected high rates of lymphopenia. CONCLUSIONS: The results do not establish a benefit for these combinations but indicate that adding isotretinoin to ddTMZ may be detrimental. This study demonstrated the feasibility and utility of the factorial design in efficiently testing drug combinations in newly diagnosed glioblastoma. CLINICALTRIALSGOV IDENTIFIER: NCT00112502.

Complementary and alternative medicine use and quality of life in patients with primary brain tumors.

This study explored the use of complementary and alternative medicine (CAM) approaches and their relationship with demographic and disease characteristics and quality of life (QOL) in the primary brain tumor (PBT) population. One hundred one PBT patients were enrolled in this study. The results showed that 34% of patients reported using CAM. Forty-one percent reported using more than one type of CAM. The average cost of each CAM used per month was 69 dollars, with 20% of patients spending more than 100 dollars per month. The majority (74%) reported that their physicians were unaware of their use of CAM. Data analysis found a higher performance status to be the only factor significantly related to use of CAM therapy (P < 0.005). There was no difference in patient report of QOL between users and nonusers of CAM therapies. The high number of patients who do not report CAM use has potential implications for evaluation of symptoms and response to therapy in this population. This may be especially relevant in those patients with higher functional status participating in clinical trials.

Automated quantification of apoptosis after neoadjuvant chemotherapy for breast cancer: early assessment predicts clinical response.

PURPOSE: A large body of evidence implicates apoptosis in the effects of cancer chemotherapeutic agents on tumor cells in vitro and tumor xenografts in vivo, but the predictive value of apoptosis as an early marker for clinical response in cancer patients remains unclear. EXPERIMENTAL DESIGN: We developed an automated, laser scanning cytometer-based method to quantify the percentage of tumor cells containing DNA fragmentation characteristic of apoptosis in tumor sections. We measured levels of apoptosis in a panel of 15 matched, 18-gauge core breast cancer biopsies obtained before and 48 h after neoadjuvant therapy with docetaxel plus doxorubicin or paclitaxel as part of two prospective clinical trials. RESULTS: The results revealed a strongly significant (P = 0.0023) association between chemotherapy-induced apoptosis and pathological response. CONCLUSIONS: If the results can be validated in a larger patient cohort, the method could be used to "tailor" therapy to optimize benefit in a patient-specific fashion.