Chen, Yuhchyau

Abstract Background NRG/RTOG 1010 evaluated trastuzumab added to trimodality therapy for HER2+ localized esophageal adenocarcinoma (EAC) management. Secondary PRO objectives assessed improvement in the FACT‐Esophageal Cancer Subscale (ECS), version 4, with trastuzumab, and if improved ECS correlated with pathologic complete response (pCR). Methods Patients were randomized to weekly paclitaxel/carboplatin/radiation (chemoradiation, CRT) followed by surgery ± trastuzumab (CRT + Tras). Disease‐free survival (DFS) was the primary end point. The projected PRO sample size of 158 patients, based on an 80% participation rate of the DFS primary endpoint sample size of 197 HER2+ patients, would provide ≥ 89% power to detect ≥25% increase in the proportion of CRT + Tras patients with ECS improvement from baseline to 6–8 weeks post‐CRT; one‐sided α = 0.05, using a χ 2 test. Improvement in ECS and its swallowing index (SI) and eating index (EI) was defined as 5‐, 2‐, and 2‐point increases, respectively, from baseline to 6–8 weeks post‐CRT. Univariate logistic regression was assessed if pCR was associated with improved ECS. Results From 2010 to 2015, 203 HER2+ patients were randomized and 194 were eligible. Of 171 PRO consenting patients, the ECS was completed by 162 (95%) at baseline, 108 (64%) 6–8 weeks, 82 (49%) 1 year, and 55 (33%) at 2 years. The proportion of patients with an improvement in 6–8 weeks ECS was higher on the CRT + Tras arm (46% vs. 38%), although not significantly different ( p = .39). There was no correlation between pCR and ECS scores at 1 year, with 39% and 37% of pCR and non‐pCR patients, respectively, having improved 1‐year ECS scores. Conclusions The addition of trastuzumab to CRT for localized HER2+ EAC did not improve PROs.

Clinical trials frequently include multiple end points that mature at different times. The initial report, typically based on the primary end point, may be published when key planned co-primary or secondary analyses are not yet available. Clinical Trial Updates provide an opportunity to disseminate additional results from studies, published in JCO or elsewhere, for which the primary end point has already been reported. NRG Oncology RTOG 0415 is a randomized phase III noninferiority (NI) clinical trial comparing conventional fractionation (73.8 Gy in 41 fractions) radiotherapy (C-RT) with hypofractionation (H-RT; 70 Gy in 28) in patients with low-risk prostate cancer. The study included 1,092 protocol-eligible patients initially reported in 2016 with a median follow-up of 5.8 years. Updated results with median follow-up of 12.8 years are now presented. The estimated 12-year disease-free survival (DFS) is 56.1% (95% CI, 51.5 to 60.5) for C-RT and 61.8% (95% CI, 57.2 to 66.0) for H-RT. The DFS hazard ratio (H-RT/C-RT) is 0.85 (95% CI, 0.71 to 1.03), confirming NI ( P < .001). Twelve-year cumulative incidence of biochemical failure (BF) was 17.0% (95% CI, 13.8 to 20.5) for C-RT and 9.9% (95% CI, 7.5 to 12.6) for H-RT. The HR (H-RT/C-RT) comparing biochemical recurrence between the two arms was 0.55 (95% CI, 0.39 to 0.78). Late grade ≥3 GI adverse event (AE) incidence is 3.2% (C-RT) versus 4.4% (H-RT), with relative risk (RR) for H-RT versus C-RT 1.39 (95% CI, 0.75 to 2.55). Late grade ≥3 genitourinary (GU) AE incidence is 3.4% (C-RT) versus 4.2% (H-RT), RR 1.26 (95% CI, 0.69 to 2.30). Long-term DFS is noninferior with H-RT compared with C-RT. BF is less with H-RT. No significant differences in late grade ≥3 GI/GU AEs were observed between assignments (ClinicalTrials.gov identifier: NCT00331773 ).

PURPOSE To compare the predictive ability of mapping algorithms derived using cross-sectional and longitudinal data. METHODS This methodological assessment used data from a randomized controlled noninferiority trial of patients with low-risk prostate cancer, conducted by NRG Oncology (ClinicalTrials.gov identifier: NCT00331773 ), which examined the efficacy of conventional schedule versus hypofractionated radiation therapy (three-dimensional conformal external beam radiation therapy/IMRT). Health-related quality-of-life data were collected using the Expanded Prostate Cancer Index Composite (EPIC), and health utilities were obtained using EuroQOL-5D-3L (EQ-5D) at baseline and 6, 12, 24, and 60 months postintervention. Mapping algorithms were estimated using ordinary least squares regression models through five-fold cross-validation in baseline cross-sectional data and combined longitudinal data from all assessment periods; random effects specifications were also estimated in longitudinal data. Predictive performance was compared using root mean square error. Longitudinal predictive ability of models obtained using baseline data was examined using mean absolute differences in the reported and predicted utilities. RESULTS A total of 267 (and 199) patients in the estimation sample had complete EQ-5D and EPIC domain (and subdomain) data at baseline and at all subsequent assessments. Ordinary least squares models using combined data showed better predictive ability (lowest root mean square error) in the validation phase for algorithms with EPIC domain/subdomain data alone, whereas models using baseline data outperformed other specifications in the validation phase when patient covariates were also modeled. The mean absolute differences were lower for models using EPIC subdomain data compared with EPIC domain data and generally decreased as the time of assessment increased. CONCLUSION Overall, mapping algorithms obtained using baseline cross-sectional data showed the best predictive performance. Furthermore, these models demonstrated satisfactory longitudinal predictive ability.

60 Background: Mapping algorithms informing economic evaluations are often derived using baseline data from clinical trials. It is unclear if these algorithms can predict health utilities accurately in post-intervention data. Thus, this study examines the longitudinal predictive ability of mapping algorithms derived from baseline trial data and explores the factors associated with prediction errors. Methods: This methodological study utilized data from an international, multicenter, randomized controlled trial of patients with low-risk prostate cancer (PC), conducted by NRG Oncology (NCT00331773). In addition to patient demographic and clinical data, this study utilized PRO data collected at baseline and 6, 12 and 24 months post-intervention. The Expanded Prostate Cancer Index Composite (EPIC) questionnaire measures health-related quality-of-life (HRQoL) and has four domains (urinary, sexual, hormonal, and bowel) and two subdomains per domain (function and bother); EuroQOL-5D-3L (EQ5D) captures health utilities. Ordinary Least Squares (OLS) regression models were used to map EPIC scores to EQ5D utilities in the baseline data through 5-fold cross-validation. Predictive performance was tested in the post-intervention data; predicted and reported utilities were compared using t-tests, and the absolute prediction error was modeled using fixed effects, as a function of baseline demographic and clinical covariates, as well as observed and predicted EQ5D utilities. Results: A total of 267 (199) patients had complete EQ5D and EPIC domain (or subdomain) data at baseline and all subsequent assessments. In the EPIC domain sample, mean ± standard deviation observed EQ5D utility was 0.90±0.13 at baseline, 0.92±0.11 at 6 months, 0.90±0.13 at 12 months and 0.89±0.14 at 24 months. Mean absolute differences (MDs) between reported and predicted were lower for models using EPIC subdomain data compared to EPIC domain data, and generally decreased as the time of assessment increased. The mapping functions over-predicted utilities for patients in perfect health while the prediction errors were increasingly negative for lower reported EQ5D scores. According to the fixed effects model for EPIC domain data, lower observed and predicted baseline EQ5D scores, and time of assessment were significant predictors of the absolute prediction error; for EPIC subdomain data, lower observed and predicted baseline EQ5D scores, hormonal bother and function, and bowel function significantly predicted the absolute prediction error. Conclusions: This study is the first to demonstrate the longitudinal validity of EPIC questionnaire, and builds upon existing research on longitudinal validity of mapping functions. The low MDs in prediction errors in post-intervention data indicate that the mapping functions are sensitive to treatment effect, thereby increasing confidence in their use in economic evaluations in PC.

55 Background: To compare the predictive ability of health utility mapping algorithms derived using cross-sectional and longitudinal data specific to the Expanded Prostate Cancer Index Composite (EPIC). Methods: This mapping study utilized data from an international, multicenter, randomized controlled trial of patients with low-risk prostate cancer conducted by NRG Oncology (NCT00331773). Health-related quality-of-life (HRQoL) data were collected using EPIC, and health utilities were obtained using EuroQOL-5D (EQ5D) at baseline and 6, 12 and 24 months post-intervention. Data were split into an estimation sample (70%) and a validation sample (30%). Ordinary Least Squares (OLS) regression models were estimated using baseline cross-sectional data as well as pooled data from all assessment periods. Random effects (RE) specifications that explicitly model the longitudinal nature of the data were also estimated. Candidate models were selected based on root mean square error (RMSE). Results: A total of 196 (147) patients in the estimation sample had complete EQ5D and EPIC domain (subdomain) data at all time points. OLS models using combined data outperformed the counter-part RE models as well as OLS models using baseline data in the five-fold cross-validation. Addition of covariates to the models resulted in improved predictive ability. In the external validation, when only EPIC domain/ subdomain data are available, the OLS model using combined data predicted EQ5D utilities better than the counterpart RE model and OLS model using baseline data (RMSE=0.121108 & 0.111345). OLS model using baseline data outperformed other model types for algorithms with EPIC domains and demographics (RMSE=0.121757), while RE models outperformed the other two model types for algorithms with EPIC subdomains and demographic data, (0.112782) and for algorithms with EPIC domains/ subdomains, demographics, and clinical covariates (RMSE=0.123589 & 0.163093). Conclusions: While algorithms using pooled data outperformed other model types in internal validation, RE models showed better predictive ability in external validation for algorithms with covariates. Clinical trial information: NCT00331773.

AbstractBackgroundSeveral registry-based analyses suggested a survival advantage for married versus single patients with pancreatic cancer. The mechanisms underlying the association of marital status and survival are likely multiple and complex and, therefore, may be obscured in analyses generated from large population-based databases. The goal of this research was to characterize this potential association of marital status with outcomes in patients with resected pancreatic cancer who underwent combined modality adjuvant therapy on a prospective clinical trial.Materials and MethodsThis is an ancillary analysis of 367 patients with known marital status treated on NRG Oncology/RTOG 97-04. Survival analysis was performed using the Kaplan-Meier method and compared using the log-rank test. Multivariate analysis was performed using the Cox proportional hazards regression model.ResultsOf 367 patients, 271 (74%) were married or partnered and 96 (26%) were single. Married or partnered patients were more likely to be male. There was no association between marital status and overall survival (OS) or disease-free survival (DFS) on univariate (hazard ratio [HR], 1.09 and 1.01, respectively) or multivariate analyses (HR, 1.05 and 0.98, respectively). Married or partnered male patients did not have improved survival compared with female or single patients.ConclusionAncillary analysis of data from NRG Oncology/RTOG 97-04 demonstrated no association between marital and/or partner status and OS or DFS in patients with resected pancreatic cancer who received adjuvant postoperative chemotherapy followed by concurrent external beam radiation therapy and chemotherapy. Clinical trial identification number. NCT00003216.

347 Background: 9,704 was the first phase 3 pancreatic cancer trial to validate the prognostic value of postresection CA19-9 for overall survival (OS), with values > 90/180 associated with worse OS. All pts received adjuvant gemcitabine or 5-FU and chemo-radiotherapy (RT). This analysis evaluates patterns of disease failure. Methods: SMS was negative, positive, or unknown. CA19-9 was analyzed at cut points 90, 180 and continuously. LRF and DF were estimated by cumulative incidence and Gray’s test compared. Cox hazard models were used for multivariate analyses (MVA) and included treatment, tumor site, size and nodal status. To adjust for multiple comparisons a p-value < 0.01 is statistically significant and 0.01 to < 0.05 a trend. Results: 538 pts accrued, with 451 eligible and analyzable for SMS and 385 for CA19-9. For CA19-9, 132 (34%) were Lewis Antigen negative (no CA19-9 expression), 200 (52%) < 90 and 220 (57%) < 180. 188 (42%) had negative margins, 152 (34%) positive and 111 (25%) unknown (i.e., no margin comment in path report; shown to have outcomes similar to negative margin pts). Pts with CA19-9 ≥ 180 were more likely to have tumors ≥ 3 cm and pts with positive SMS more likely to have KPS 60 - 80, T3/T4, or N1 disease. On univariate analysis (UVA) CA19-9 cut at 90 was associated with significant increases in both LRF (trend) and DF; in the gemcitabine arm this was seen in DF, not in LRF; in the 5-FU arm it was seen in both. Results were similar at the 180 cut point and continuously. SMS on UVA was not associated with increase in LRF/DF; see Table. On MVA, CA19-9 > 90 was significantly associated with LRF and DF; positive SMS showed only a trend for DF. Conclusions: Postresection CA19-9 has significant association with both LRF and DF not seen with SMS. These findings support continued use of RT in trials and consideration of dose intensification among pts with elevated postresection CA19-9. Grants: NCI U10, CA21661, CA37422, CA180868, CA180822. Clinical trial information: 0000000. [Table: see text]