Citations

711 Background: For patients with stage IVA rectal cancer with liver metastases treated with curative-intent chemotherapy and surgery, the role of adjuvant pelvic radiotherapy (RT) is unclear. The purpose of this study was to evaluate the impact of pelvic RT on oncologic outcomes in this patient population. Methods: We retrospectively reviewed medical records of all patients with stage IVA rectal adenocarcinoma with liver metastases treated with curative-intent resection of the primary tumor and all liver metastases at our institution between 1991 and 2010. Patient and treatment characteristics were compared between patients who did or did not receive pelvic RT using chi-square and unpaired ttests. Survival and recurrence estimates were calculated from date of initial diagnosis using the Kaplan-Meier method. Local recurrence (LR) was defined as recurrence in the pelvis occurring at or before distant recurrence (DR). Cox regression was used to compare rates of freedom from LR (FFLR), freedom from DR (FFDR), and overall survival (OS) between patients who did or did not receive pelvic RT. Results: The analysis included 65 patients. Median patient age at diagnosis was 59 years (range, 27-87). Tumor stage was T2 (n = 4), T3 (n = 53), or T4 (n = 8). The median number of liver metastases was 2 (range, 1-14). Surgery was low anterior resection (n = 54) or abdominoperineal resection (n = 11). All patients received perioperative fluoropyrimidine based chemotherapy. Pelvic RT was administered to 35 patients (54%), either preoperatively (n = 22) or postoperatively (n = 13). Median RT dose was 50.4 Gy (range 25-58). Patient characteristics were similar for those who did or did not receive pelvic RT. Median follow-up was 3.7 years. The 3-year estimates of FFLR, FFDR and OS were 81% vs 58% (p =.056), 35% vs 29% (p =.75), and 66% vs 71% (p =.81) for RT vs no RT, respectively. Conclusions: In this analysis of patients with stage IVA rectal cancer with liver metastases undergoing curative intent therapy, pelvic RT (vs. no pelvic RT) was associated with a trend to lower rates of LR and similar rates of DR and OS.

202 Background: Cabazitaxel and prednisone (Cbz/pred) extend survival in mCRPC patients (pts) following docetaxel and first-line studies comparing Cbz to docetaxel are ongoing. Mito/pred also has anti-tumor activity in mCRPC and a non-overlapping mechanism of action and toxicity profile with Cbz. A multicenter phase 1 trial was initiated to establish the maximally tolerated dose (MTD) and recommended phase 2 dose (RP2D) of the combination of Cbz, Mito, and Pred(CAMP). Methods: Chemotherapy (chemo)-naive pts with mCRPC were enrolled in an accelerated titration design. The primary objective was to determine the MTD and RP2D of CAMP; secondary objectives included PSA response rate and duration of response. Cbz 20 and 25 mg/m2 were evaluated in combination with escalating doses of Mito (starting dose 4 mg/m2), both administered on day 1 of a 21-day cycle. Pred 5 mg BID and pegfilgrastim were given with each cycle. Results: 23 pts were enrolled. The median age was 66 (range 51-78) and the median baseline PSA was 62.5 (range 3-791.2). There were 2 DLTs (sepsis and febrile neutropenia) observed at the dose level of Cbz 25 mg/m2 + Mito 10 mg/m2 (n = 4). There was 1 DLT (febrile neutropenia) observed with Cbz 20 mg/m2 (N = 12), establishing Cbz 20 mg/m2 + Mito 12 mg/m2 as the MTD and RP2D. The most common grade ³ 3 related adverse events were hematologic (neutropenia, n = 9; thrombocytopenia, n = 3; febrile neutropenia, n = 3). The median number of treatment cycles was 7.5 (range 2-16), and 2 pts remain on study. Greater than or equal to 50% maximal PSA declines from baseline were observed in 12 of 19 evaluable pts(63%). The median duration of response has not been reached (range 4.9-10.0+ months). Conclusions: The approved single-agent dose of Mito (12 mg/m2) was safely combined with Cbz 20 mg/m2, a dose with demonstrated activity in mCRPC and potentially less hematologic toxicity than 25 mg/m2. Preliminary efficacy data are encouraging with durable control of disease observed in a subset of pts. Further study of the treatment combination is warranted. Clinical trial information: NCT01594918.

2 Background: Women with atypical hyperplasia (AH) on breast biopsy have an aggregate increased risk of breast cancer (BC), but accurate personalized risk prediction is desirable to facilitate individual clinical management decisions. Currently used models provide poor BC risk prediction for women with AH. Our goal was to develop and validate an improved risk prediction model for women with AH. Methods: From a cohort of 13,538 women with benign breast disease from 1967-2001, pathology review confirmed 699 with AH. Clinical risk factors and histologic features of the tissue biopsy were recorded, and BC events were ascertained from study questionnaires, tumor registry, and review of medical records. Using a lasso approach, 23 variables were assessed for model inclusion. Lasso-identified features were then fit in a Cox regression model to estimate BC risk. Model discrimination was assessed with C-statistics in the model-building set and in a separate external validation set. Calibration was assessed by comparing observed to predicted breast cancer counts. Results: The model-building set comprised 699 women with 142 BC events (median follow-up 8.1 years), and the external validation set comprised 461 women with 114 BC events (median follow-up 11.4 years). The final model included three covariates: age at biopsy, age squared, and number of foci of AH. Model performance was good, with a C-statistic of 0.622 (SE = 0.027) in the model-building set and 0.594 (SE = 0.029) in the external validation set. The model is well-calibrated, with observed to expected numbers of BCs nearly equal across all post-biopsy follow-up years. Conclusions: We propose a new model for predicting BC risk in women with AH based on age at biopsy and number of foci of atypia. This model provides absolute risk estimates for women with AH, has good discriminatory ability, is well-calibrated, and validates in an external cohort.

18 Background: Benign breast disease (BBD) is diagnosed in 1-2 million women/year in the US, and while these patients are known to be at substantially increased risk for subsequent development of breast cancer, existing models for risk assessment perform poorly at the individual level. Here, we describe a DNA-microarray-based transcriptional model for breast cancer risk prediction for patients with sclerosing adenosis (SA), a lesion found in ¼ of all BBD patients that is characterized by epithelial proliferation, disordered acinar architecture, and stromal fibrosis. Methods: A training set was developed from 86 patients diagnosed with sclerosing adenosis (SA), of which 27 subsequently developed cancer within 10 years (cases) and 59 remained cancer-free at 10 years (controls). A diagonal linear discriminate analysis (DLDA)-prediction model for prediction of cancer within 10 years (SA TTC10) was generated from transcriptional profiles of formalin fixed, paraffin-embedded (FFPE) biopsy-derived RNA. This model was tested on a separate validation case-control set composed of 65 SA patients. Results: The SA TTC10 gene signature model, composed of 35 gene features, achieved a clear and significant separation between case and control with receiver operating characteristic area under the curve of 0.913 in the training set and 0.836 in the validation set. Conclusions: Our results provide the first demonstration that benign breast tissue contains transcriptional alterations that indicate risk of breast cancer development, and that essential precursor biomarkers of malignancy are present many years prior to cancer development. Furthermore, the SA TTC10 gene signature model, which can be assessed on FFPE biopsies, constitutes a novel prognostic biomarker for patients with SA.

AbstractObjectivesTo analyze the economic impact of testing for activated protein C resistance (APC-R) due to factor V Leiden (FVL) mutation with APC-R with reflexive FVL genotyping (algorithmic approach) or genotyping alone.MethodsOptumLabs Data Warehouse (OLDW) data were used to assess testing approaches. Insurance claims for APC-R and FVL in 2013 were compared with the Mayo Clinic database. Centers for Medicare & Medicaid Services diagnostic fee schedules were used to assign costs.ResultsOf 19.3 million OLDW-covered individuals, 74,242 (0.385%) received 75,608 tests: APC-R, 2,265 (2.9%); FVL genotyping, 70,619 (90.1%); and both APC-R and FVL, 2,724 (7.0%). In total, 1,317 tests were performed at Mayo Clinic: APC-R with reflex FVL (1,256; 95.4%) and FVL alone (61; 4.6%). Costs per evaluated individual and per total population (person/year) in OLDW and algorithmic approach were $83.77 vs $36.38 and $0.32 vs $0.14, respectively.ConclusionsThe cost-optimized algorithmic approach reduces health care costs.

Abstract Introduction Genetic loci for Alzheimer's disease (AD) have been identified in whites of European ancestry, but the genetic architecture of AD among other populations is less understood. Methods We conducted a transethnic genome‐wide association study (GWAS) for late‐onset AD in Stage 1 sample including whites of European Ancestry, African‐Americans, Japanese, and Israeli‐Arabs assembled by the Alzheimer's Disease Genetics Consortium. Suggestive results from Stage 1 from novel loci were followed up using summarized results in the International Genomics Alzheimer's Project GWAS dataset. Results Genome‐wide significant (GWS) associations in single‐nucleotide polymorphism (SNP)–based tests ( P < 5 × 10 −8 ) were identified for SNPs in PFDN1/HBEGF , USP6NL/ECHDC3 , and BZRAP1‐AS1 and for the interaction of the (apolipoprotein E) APOE ε4 allele with NFIC SNP. We also obtained GWS evidence ( P < 2.7 × 10 −6 ) for gene‐based association in the total sample with a novel locus, TPBG ( P = 1.8 × 10 −6 ). Discussion Our findings highlight the value of transethnic studies for identifying novel AD susceptibility loci.