Sloan, Jeff A.

9001 Background: Ginseng is popularly used as a treatment for fatigue, one of the most common and disabling symptoms in people diagnosed with cancer. It is termed an “adaptogen”, thought to help the body combat negative effects of stress. This trial was to evaluate 2,000 mg American Ginseng versus placebo for cancer-related fatigue (CRF). Methods: Patients with cancer undergoing or having completed curative intent treatment and experiencing fatigue, rated at least 4 on a numeric analogue fatigue scale (1-10) for ≥1 month, were eligible. Exclusion criteria included CNS lymphoma, brain malignancies, or prior use of ginseng or chronic systemic steroids. Other etiologies for fatigue, such as pain and sleep, were also excluded. Patients were randomized to receive, in a double blind manner, 2,000 mg/d of American Ginseng or placebo in BID dosing for 8 weeks. The primary endpoint was change from baseline in the general subscale of the Multidimensional Fatigue Symptom Inventory (MFSI) at 4 weeks. Other MFSI subscales and the fatigue-inertia subscale of the Profile of Mood States (POMS) were also analyzed. Data were transformed to a 0-100 scale. Results: 364 patients were enrolled from 10/2008 to 07/2011. Data at 4 and 8 weeks are provided for several fatigue endpoints in the table below; higher numbers are better. Mental, emotional and vigor subscales of the MFSI were not significantly different between arms. There were no statistically significant differences in any grade of toxicity or self reported side effects between ginseng and placebo. Conclusions: This trial provides data to support that American Ginseng reduces general and physical CRF over 8 weeks without side effects. The treatment did not provide significant reductions in fatigue at 4 weeks and did not impact mental, emotional, and vigor dimensions of fatigue. [Table: see text]

6133 Background: Patient (pt) trial experience may give insight to quality of life (QOL) factors affecting accrual, retention and outcome. While pts are vital to clinical trial success, we know little about their post-trial opinions. This trial examined pt opinion of their trial and treatment decision making (TDM). Methods: Pts enrolled on designated North Central Cancer Treatment Group (NCCTG) phase II or III treatment trials completed the TDM Control Preferences Scale at baseline and the Was It Worth It (WIWI) satisfaction assessment at the ends of cycle 1 and active protocol treatment. The primary endpoint was the proportion of pts reporting worthwhile participation. Fisher Exact tests compared pt opinion across subgroups. Results: As of 01/15/2012, 264 pts were enrolled on 25 protocols and treated at 79 sites. 86% of pts were in phase II studies and 89% had stage IV disease. At the end of cycle 1, pts felt the trial was worthwhile (74%), would do it again (85%), and would recommend it to others (82%). 85% of pts reported undiminished QOL and only 7% rated the trial worse than expected. End of treatment responses were similar. Satisfaction rates varied by tumor site (p=0.04). 11% of pts having tumor response rated the trial as not worthwhile, and 66% of pts with progressive disease rated it worthwhile (see table). Pts with concordant preferred and actual TDM roles rated participation higher than pts with discordant TDM roles (see table). Conclusions: Most pts endorsed their clinical trial experience. Contrary to popular beliefs, treatment outcome did not have an overwhelming impact on pt satisfaction, and was just one of many factors such as TDM role discordance. Assessing pt satisfaction will inform future study design that can potentially improve pt accrual and retention. [Table: see text]

6108 Background: This pilot study evaluated whether providing clinicians with patient(pt) QOL results and symptom management pathways linked to QOL domains at the time of clinical appointment would result in improvement in QOL and treatment (tx) satisfaction. The objective was to obtain preliminary effect size estimates and logistical evidence for design of a larger, definitive trial. Methods: Oncology pts receiving 5-7 weeks of radiotherapy (RT) electronically completed QOL assessments (LASA) at baseline and biweekly prior to seeing clinicians. Was It Worth It (WIWI) and Interpersonal Patient-Provider Relationship (IPPRS) were measured at tx end. Pt endpoints (pro-rated primary endpoint LASA area under the curve (AUC), LASA changes from baseline, and WIWI responses) and clinician endpoints (IPPRS) were compared between the control group (Phase 1: no QOL feedback) and the intervention group (Phase 2: QOL feedback) via Wilcoxon, Chi-square and Fisher Exact tests. There was 80% power to detect a 10 point difference in average AUC. Results: 148 pts enrolled (79 Phase 1, 69 Phase 2) from 11/28/2008 to 09/20/2011 (sites GI (27%), Lung (22%) and Head and Neck (52%)). 68% received RT and chemo. There were consistently moderate effect sizes observed but no statistically significant differences in any AUC nor end of tx change from baseline scores. 20% fewer pts in phase 2 reported clinical deficits in overall QOL (pain). In pts receiving 7 weeks of RT, end of tx average overall QOL, mental well-being (WB), physical WB and pain severity were significantly better in Phase 2 pts. WIWI results showed 76% found participation worthwhile, 95% would participate again, and 92% would recommend the study to others. No differences between groups were found in communication between clinicians and pts (IPPRS). Conclusions: Preliminary estimates indicate potentially clinically significant improvements of moderate effect size in mental and physical WB and pain severity when clinicians received QOL real time with symptom management pathways. Further study is warranted in larger trial setting.

3617 Background: In metastatic colorectal cancer (CRC), previous studies suggested potential relationships between certain drug metabolizing (DM) genes (DPYD, ERCC2, GSTP1 and TYMS) and QOL prior to receipt of chemotherapy (Sloan, Plenary Session ASCO 2004). The current study is the first to examine relationships between similar DM genes and QOL in stage III CC pts. Methods: 1,583 CC pts on a randomized adjuvant stage III, phase III trial received FOLFOX, FOLFIRI, or either +/- Cetuximab. Genomic DNA and baseline QOL data via linear analogue self assessment (LASA) scales with 4 QOL variables were obtained. 53 DM SNPs were selected for known functional effect within potential regulatory sites. Two-sample t-tests assessed differences in QOL between pts with variants and wild-type status. Differences of at least 10 points on a 0-100 point QOL score were considered clinically significant. Results: 14 relationships between DM genes and QOL were detected at the nominal p < 0.05 level; six of these were related to DPYD, ERCC2, GSTP1 and TYMS. Relationships were also observed at the 0.05 level with polymorphisms of genes DPYS, ERCC1, MGMT, MTHFR, OPRT and UGT1A1 based on unadjusted and adjusted association tests. GSTP1 I105V and OPRT 5’UTR 28 A>G markers differed on fatigue scores (p=0.04, 0.005, respectively). Variants on MTHFR R594Q were associated with higher mental acuity scores (p=0.02). These relationships remained after adjusting for age, gender, race, T stage, PS, disease site, lymph nodes involved, and grade. The robustness of the observed associations varied with the multiple comparison adjustment method. Conclusions: Similar to the earlier study of stage IV CRC, we observed a possible relationship in pts with Stage III CC with regard to DM genes and QOL, although these relationships were more modest than observed in Stage IV pts. These DM genes may be in linkage disequilibrium with other genetic variants that more directly affect behavior and QOL. Further genome wide association studies are needed to clarify these relationships.

1557 Background: Peripheral neuropathy (PN), a common and intrusive side effect of chemotherapy in clinical trials, has been assessed via the clinician-rated common terminology criteria for adverse events (CTCAE) and/or patient-reported outcome (PRO) measures (Morton, ASCO, 2005). We assessed the relative sensitivity of CTCAE and PRO measures for evaluating interventions for preventing and ameliorating CIPN. Methods: Data from285 patients in two prevention trials (N05C3, N04C7) and 432 patients from three intervention trials (N00C3, N01C3, N06CA) were analyzed separately. CTCAE version 3.0 item for neuropathy was compared to 2 NCCTG numerical analogue CIPN items, 6 EORTC CIPN20 individual items, 2 McGill Pain Questionnaire items, and one Brief Pain Inventory item. The sample size provided over 80% power to detect a true Spearman rank correlation of 0.15 assessed the relationship between CTCAE and PRO measures. Results: Results from both the prevention and treatment trials were similar in terms of the relationship between the CTCAE and PRO measures. No correlation coefficients between the CTCAE and any of the PRO items at baseline were above 0.35, with the majority around 0.2. Higher scores for the numbness items were observed than for the CTCAE in 47% of the patients at baseline and 39% during treatment in the treatment trials. Many patients had severe numbness PRO scores but mild CTCAE scores (12%) at baseline and (8%) during treatment in the treatment trials. Results for the numbness and tingling PRO measures were redundant. The correlations of the CTCAE with pain were weak, all below 0.35 at baseline with differences as much as 29 points on average on a 0-100 transformed scale. Conclusions: The CTCAE and PRO measures of PN measure different constructs. The CTCAE includes both functional and ADL/motor aspects which may or may not be related to the singular constructs of pain, numbness, tingling, or adjectival characteristics of pain assessed by the PRO measures. The two measures cannot be used in place of each other.

e11051 Background: Limited data exist on patient (pt) experience and work productivity (WP) in MBC. VIRGO is a prospective OCS following >1200 pts with locally advanced or MBC receiving 1st-line hormonal therapy (HT) or chemotherapy (CT) in a real-world setting. We report baseline characteristics of 277 pts from the VIRGO PRO substudy and correlations between health-related quality of life (HRQoL), symptoms, activities of daily living, and WP. Methods: Symptom severity and interference (MD Anderson Symptom Inventory [MDASI]), functional status (Activity Level Scale [ALS] from the Rotterdam Symptom Checklist) and WP (Work Productivity and Activity Impairment Questionnaire) were assessed. Pts rated their HRQoL during the past week on a scale of 0–10. Results: See table. The five most severe symptoms at baseline were fatigue, decreased sexual interest, disturbed sleep, drowsiness, and emotional distress; these were reported with less severity in the HT cohort (24%-37% vs 42%-59%). Overall MDASI severity and interference correlated with WP measures in the CT (R = 0.46 to 0.78) and HT cohorts (0.36 to 0.94). Mean of the five most severe symptoms also significantly correlated with WP indices (R = 0.47 to 0.66). HRQoL correlated (p < 0.05) with all WP measures (R = -0.46 to -0.56) in the CT cohort and with % impairment while working (R = -0.65) and % overall work impairment (R = -0.71) in the HT cohort. In univariate regression analysis, MDASI symptom interference score was the best predictor of reduced WP (R2 = 0.52 while working; R2 = 0.48 for nonwork activities). Conclusions: MBC pts receiving CT and HT report significant work impairment. Results indicate moderate correlations between WP indices, HRQoL and symptom burden. [Table: see text]

9513 Background: The need for more research in N/V control is exemplified by agents that are costly, interfere with cytochrome P450 metabolism, and inadequately address delayed N/V. Based on pilot data, there was justification for evaluating whether gabapentin could improve the prevention of delayed N/V from highly emetogenic chemotherapy (HEC). Methods: Patients (pts) about to receive HEC were randomized to prophylactic treatment with 20 mg of dexamethasone (dex) and a 5HT3 receptor antagonist (RA) on the day of chemotherapy, followed by either gabapentin (gaba) 300 mg BID and dex or placebo (plac) and dex. Gaba/plac was started the evening of the day of chemotherapy and continued through day 5 of the first chemotherapy cycle. Dex was given at 8 mg BID days 2-3, then 4 mg BID for day 4, in both arms. The primary endpoint was complete response (CR), defined as no emesis and no rescue medications day 2-6, using a nausea and vomiting diary. The percent of CR were compared in each group by Fisher’s exact test. Secondary outcomes included the Functional Living Index-Emesis (FLIE), satisfaction, and a side effect questionnaire. Results: 430 pts were enrolled in this study between 5/2009 and 2/2011. 47% of pts in the gaba arm and 41% in the plac arm had a CR (p=.23). At some time during days 2-6, 30% in the gaba and plac arms experienced emesis, and 45% and 53% in the gaba and plac arms, respectively, took rescue medication. Mean diary nausea scores over days 2-6 ranged from 0.9 – 1.2 (gaba arm) and 1.0-1.3 (plac arm)(7 = the worst); mean number of diary emetic episodes ranged from 0.1 -0.3 (gaba arm) and 0.1-0.2 (plac arm). The FLIE was not significantly different between arms. Mean vomiting satisfaction was 9.1 in both arms and for nausea was 8.3 for gaba, 8.1 for plac (10= totally satisfied). There were no significant differences in toxicities by CTCAE provider grading or by self-report. Conclusions: In this study, gaba did not improve delayed N/V. Overall, there was little emesis and nausea severity was low. Patients were satisfied with the control of their N/V, irrespective of arm. The use of standard prophylactic guidelines that include a 5HT3RA and dex provided good control of N/V for most patients. Clinical trial information: NCT00880191.

1610 Background: Low dose computed tomography (LDCT) scans have reduced lung cancer deaths by 20.3% in high risk populations, although there is an unknown balance between the benefits and harms of LDCT scans as a screening tool. Our purpose was to compare health-related QOL issues among lung cancer patients who were initially detected by LDCT scans; 4 comparison groups included: lung cancer diagnosed by a screening chest X-ray, as an incidental finding from procedures taken for other medical reasons, or based on symptoms indicative for lung cancer and routinely diagnosed, and individuals who were LDCT screened but found no lung cancer (controls who participated in Mayo’s lung cancer CT screening trial). Methods: A total of 1,658 lung cancer patients (cared at Mayo Clinic) in the 4 groups (37, 151, 389, and 1081 respectively) and 488 controls were compared on following patient-reported outcomes (collected via validated tools): overall QOL, four symptoms (cough, pain, dyspnea, fatigue), mental/ physical/ emotional/ social/ spiritual QOL, and other concerns (e.g., family/ friends/ financial/ legal). A clinically significant deficit was defined as at least 10-points in difference (or <50 points) on a 0-100 scale. The rates of deficits were compared via Fisher’s exact tests and average QOL values via Kruskal-Wallis tests. Results: Overall QOL and individual symptoms were significantly worse (p<0.05) in all lung cancer groups than in controls, except for pain. LDCT-screened patients reported the greatest deficit among the 4 lung cancer groups in physical (41%), emotional (24%), social (38%), and spiritual QOL (24%); whereas chest X-ray detected patients had the least deficit in overall QOL (22%) and pain (32%). All 4 lung cancer groups experienced much worse fatigue (52-64%) than the controls (32%). Conclusions: Our preliminary results suggest that LDCT-screening detected lung cancer patients reported a different QOL profile from other lung cancer patients and non-lung cancer controls. The clinical course, smoking behavior, and QOL related health issues associated with LDCT screening for lung cancer warrant thorough investigation.

17511 Background: There is no published data regarding BMI changes in survivors of adult lymphoma. Methods: In October of 2004, we mailed a 23-page survey to 95 randomly selected patients from a population of 2,485 of patients from the Mayo Tumor Registry who had survived lymphoma from 5 to 20 years. 56 completed the survey for a 68% participation rate. Body mass index (BMI) was calculated using clinical height and weight in the medical record at the time of diagnosis and self-reported weight in the survey response. Physical activity was self-reported. Based on their pattern of response, patients were categorized into a stage of change of current exercise (precontemplation, contemplation, preparation, action, or maintenance). Mood disturbance (depression, anxiety, and distress) and quality of life (QOL) were self-reported using the CES-D, POMS, STAI, FACT-G, and LASA questionnaires. Scores were transformed to a scale of 0–100 (higher score meaning higher functioning) to allow comparisons with a difference of 10 points considered significant. Results: The median age at completion of the questionnaire was 62 years (range: 25–85). The median time since diagnosis was 11 years (range: 6–20). Regular fitness, defined as a stage of change for exercise of action or maintenance, was reported by 48% of the respondents. The median BMI at diagnosis was 25.6 and the median at time of questionnaire was 27.0, which is a statistically significant change. Change in BMI, BMI at diagnosis, and BMI at time of questionnaire had no correlation with level of physical activity. Obese patients had a mean score of 72 points on the LASA, which was significantly lower than normal and underweight patients (mean 86) and overweight patients (mean 84). Conclusions: A small, but significant increase in body mass index was noted in long-term lymphoma survivors from the time of diagnosis to long-term follow-up. Patients who were obese at time of diagnosis may have lower quality of life down-the-road, as measured by the LASA years following treatment. This data represents the first information about body mass index in survivors of adult lymphoma. Further larger studies are needed to confirm these preliminary data and to evaluate other aspects of health behavior in long-term survivors of lymphoma. No significant financial relationships to disclose.

6116 Background: Analyses of patient-reported outcomes rely on the dependability of patients to complete and submit assessments in a timely manner – not all data is obtained. In recent work focusing on quality of life (QOL) data and imputation, it has been found that most methods do not alter study results. But how much data can be missing before study results are affected? Methods: Missing data was investigated using a 2-arm study (109 patients) who completed Linear Analogue Self Assessments at 4 intervals. Patients (11%) had missing data at the second interval. Existing data was analysed for differences in scores between arms, then cases were randomly deleted to create increasing percentages (12%-20%) of missing data. Ten simulations were conducted per percent. Imputation methods applied were carrying forward the last value (LVCF), average value (AVCF), and maximum value (MVCF). Student’s t-tests were performed between arms for each simulation. Results: Imputation did not alter results of our study data which was statistically significant (SS) between arms for overall QOL (p=0.036) and spiritual well-being (SWB) (p=0.006), and not statistically significant (NS) for mental well-being (MWB) (p=0.174). After data deletion and t-test calculations, AVCF did not impact results. For overall QOL, data deletion changed the p-value to NS in 1 of 10 simulations starting at 12% missing data and 5 of 10 simulations starting at 16% missing data. No matter what percentage of missing data, imputation produced a SS p-value over 80% of the time. Data deletion and subsequent imputation did not affect the study decision for SWB. For MWB, all differences between arms were NS prior to imputation. After imputation, there was at most a 7% disagreement in conclusions. LVCF and MVCF performed equally in all simulations. Conclusions: For this particular study, when p-values are close to the study-defined alpha, the increase in missing data can change the study results and imputation methods are more likely to determine SS differences. The further the p-values are from the study alpha, there is little effect from increasing missing data or applying imputation. These results are for one particular study and further research is needed. No significant financial relationships to disclose.