Citations

The burden and predictors of hospitalization over time in community-based patients with peripheral artery disease (PAD) have not been established. This study evaluates the frequency, reasons and predictors of hospitalization over time in community-based patients with PAD. We assembled an inception cohort of 1798 PAD cases from Olmsted County, MN, USA (mean age 71.2 years, 44% female) from 1 January 1998 through 31 December 2011 who were followed until 2014. Two age- and sex-matched controls ( n = 3596) were identified for each case. ICD-9 codes were used to ascertain the primary reasons for hospitalization. Patients were censored at death or last follow-up. The most frequent reasons for hospitalization were non-cardiovascular: 68% of 8706 hospitalizations in cases and 78% of 8005 hospitalizations in controls. A total of 1533 (85%) cases and 2286 (64%) controls ( p < 0.001) were hospitalized at least once; 1262 (70%) cases and 1588 (44%) controls ( p < 0.001) ≥ two times. In adjusted models, age, prior hospitalization and comorbid conditions were independently associated with increased risk of recurrent hospitalizations in both groups. In cases, severe PAD (ankle–brachial index < 0.5) (HR: 1.25; 95% CI: 1.15, 1.36) and poorly compressible arteries (HR: 1.26; 95% CI: 1.16, 1.38) were each associated with increased risk for recurrent hospitalization. We demonstrate an increased rate of hospitalization in community-based patients with PAD and identify predictors of recurrent hospitalizations. These observations may inform strategies to reduce the burden of hospitalization of PAD patients.

AbstractBackgroundTube thoracostomy (TT) is a commonly performed procedure which is associated with significant complication rates. Currently, there is no validated taxonomy to classify and compare TT complications across different populations. This study aims to validate such TT complication taxonomy in a cohort of South African trauma patients.MethodsPost hoc analysis of a prospectively collected trauma database from Pietermaritzburg Metropolitan Trauma Service (PMTS) in South Africa was performed for the period January 2010 to December 2013. Baseline demographics, mechanism of injury and complications were collected and categorized according to published classification protocols. All patients requiring bedside TT were included in the study. Patients who necessitated operatively placed or image‐guided TT insertion were excluded. Summary and univariate analyses were performed.ResultsA total of 1010 patients underwent TT. The mean age was (±SD) of 26 ± 8 years. Unilateral TTs were inserted in n = 966 (96%) and bilateral in n = 44 (4%). Complications developed in 162 (16%) patients. Penetrating injury was associated with lower complication rate (11%) than blunt injury (26%), p = 0.0001. Higher complication rate was seen in TT placed by interns (17%) compared to TT placed by residents (7%), p = 0.0001. Complications were classified as: insertional (38%), positional (44%), removal (9%), infective/immunologic (9%), and instructional, educational or equipment related (0%).ConclusionsDespite being developed in the USA, this classification system is robust and was able to comprehensively assign and categorize all the complications of TT in this South African trauma cohort. A universal standardized definition and classification system permits equitable comparisons of complication rates. The use of this classification taxonomy may help develop strategies to improve TT placement techniques and reduce the complications associated with the procedure.Level of evidenceV.Study typeSingle Institution Retrospective review.

Abstract Purpose: Hyperactivation of AKT is common and associated with endocrine resistance in estrogen receptor–positive (ER+) breast cancer. The allosteric pan-AKT inhibitor MK-2206 induced apoptosis in PIK3CA-mutant ER+ breast cancer under estrogen-deprived condition in preclinical studies. This neoadjuvant phase II trial was therefore conducted to test the hypothesis that adding MK-2206 to anastrozole induces pathologic complete response (pCR) in PIK3CA mutant ER+ breast cancer. Experimental Design: Potential eligible patients with clinical stage II/III ER+/HER2− breast cancer were preregistered and received anastrozole (goserelin if premenopausal) for 28 days in cycle 0 pending tumor PIK3CA sequencing. Patients positive for PIK3CA mutation in the tumor were eligible to start MK-2206 (150 mg orally weekly, with prophylactic prednisone) on cycle 1 day 2 (C1D2) and to receive a maximum of four 28-day cycles of combination therapy before surgery. Serial biopsies were collected at preregistration, C1D1 and C1D17. Results: Fifty-one patients preregistered and 16 of 22 with PIK3CA-mutant tumors received study drug. Three patients went off study due to C1D17 Ki67 &gt;10% (n = 2) and toxicity (n = 1). Thirteen patients completed neoadjuvant therapy followed by surgery. No pCRs were observed. Rash was common. MK-2206 did not further suppress cell proliferation and did not induce apoptosis on C1D17 biopsies. Although AKT phosphorylation was reduced, PRAS40 phosphorylation at C1D17 after MK-2206 persisted. One patient acquired an ESR1 mutation at surgery. Conclusions: MK-2206 is unlikely to add to the efficacy of anastrozole alone in PIK3CA-mutant ER+ breast cancer and should not be studied further in the target patient population. Clin Cancer Res; 23(22); 6823–32. ©2017 AACR.

Purpose Endoxifen is a tamoxifen metabolite with potent antiestrogenic activity. Patients and Methods We performed a phase I study of oral Z-endoxifen to determine its toxicities, maximum tolerated dose (MTD), pharmacokinetics, and clinical activity. Eligibility included endocrine-refractory, estrogen receptor–positive metastatic breast cancer. An accelerated titration schedule was applied until moderate or dose-limiting toxicity occurred, followed by a 3+3 design and expansion at 40, 80, and 100 mg per day. Tumor DNA from serum (circulating cell free [cf); all patients] and biopsies [160 mg/day and expansion]) was sequenced. Results Of 41 enrolled patients, 38 were evaluable for MTD determination. Prior endocrine regimens during which progression occurred included aromatase inhibitor (n = 36), fulvestrant (n = 21), and tamoxifen (n = 15). Patients received endoxifen once daily at seven dose levels (20 to 160 mg). Dose escalation ceased at 160 mg per day given lack of MTD and endoxifen concentrations > 1,900 ng/mL. Endoxifen clearance was unaffected by CYP2D6 genotype. One patient (60 mg) had cycle 1 dose-limiting toxicity (pulmonary embolus). Overall clinical benefit rate (stable > 6 months [n = 7] or partial response by RECIST criteria [n = 3]) was 26.3% (95% CI, 13.4% to 43.1%) including prior tamoxifen progression (n = 3). cfDNA mutations were observed in 13 patients ( PIK3CA [n = 8], ESR1 [n = 5], TP53 [n = 4], and AKT [n = 1]) with shorter progression-free survival ( v those without cfDNA mutations; median, 61 v 132 days; log-rank P = .046). Clinical benefit was observed in those with ESR1 amplification (tumor; 80 mg/day) and ESR1 mutation (cfDNA; 160 mg/day). Comparing tumor biopsies and cfDNA, some mutations ( PIK3CA, TP53, and AKT) were undetected by cfDNA, whereas cfDNA mutations ( ESR1, TP53, and AKT) were undetected by biopsy. Conclusion In endocrine-refractory metastatic breast cancer, Z-endoxifen provides substantial drug exposure unaffected by CYP2D6 metabolism, acceptable toxicity, and promising antitumor activity.

Abstract Background: NOTCH oncogenic signaling induces epithelial-to-mesenchymal transition (EMT) and tumor stemness that play a critical role in driving tumor progression. Following interaction of NOTCH receptors (NOTCH 1, 2, 3, and 4) with their ligands (DELTA-LIKE 1, 3, 4 and JAGGED 1, 2), γ- secretase complex performs an intra-membrane cleavage releasing the NOTCH intracellular domain (NNICD). NNICD translocates to the nucleus and induces the expression of HEY1 and HES1 transcription factors that in turn orchestrate NOTCH-mediated EMT and stemness reprogramming. Materials and Methods: Parental MCF-7 and unique metastatic MCF-7RAF-1 xenografts with constitutively active MAPK signaling (D’Assoro et al., Oncogene 2014: 33:599-610) were used to define the extent to which increased expression of NOTCH signaling was linked to distant metastases. SKY analysis was performed to assess the grade of chromosomal instability (CIN) in tumor xenografts. Stemness activity was assessed by culturing breast cancer cells under non-adherent conditions to generate mammospheres. Expression of CD24 luminal marker was characterized by FACS analysis and immunofluorescence. Global transcriptome analysis was performed using Affymetrix® microarray. Highly invasive MDA-MB 231 breast cancer cells were used to perform a tail vein cancer cell-seeding assay. The LY411575 γ-secretase inhibitor (Pan-NOTCH inhibitor) was used to block NOTCH signaling in MDA-MB 231 cells. Results: Metastasis Initiating Cells (MICs) isolated from the lungs of nude mice carrying MCF-7RAF-1 xenografts exhibited a higher degree of genomic stability than primary tumor xenografts that was characterized by the absence of centrosome amplification and non-clonal chromosomal abnormalities. MICs also showed higher mammosphere forming capacity that was linked to lower expression of luminal marker CD24. Significantly, global transcriptome analysis showed that expression of NOTCH3 and HES1 stemness genes was increased in MICs. To corroborate the role of NOTCH signaling in inducing metastatic seeding, MDA-MB 231 breast cancer cells were pre-treated with 1 µM of LY411575 After 72 hours viable cells were injected into the tail vein of immune-compromised mice to develop lung metastases. While animals injected with untreated MDA-MB 231 cells developed lung metastases, those injected with the LY411575-treated MDA-MB 231 cells failed to develop lung metastatic lesions. Conclusions: These preliminary findings demonstrate the role of NOTCH stemness signaling in promoting metastatic seeding of breast cancer cells. Since NOTCH signaling is a “druggable target”, these results also provide the rationale to develop novel NOTCH-targeted therapies to inhibit tumor stemness and early onset of distant metastases. Citation Format: Alexey Leontovich, Jeffrey Salisbury, Candace L. Haddox, Lisa Mills, Tufia Haddad, James McCubrey, Matthew Goetz, James Ingle, Evanthia Galanis, Antonino B. D'Assoro. NOTCH signaling promotes metastatic seeding and growth of human breast cancer cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4851. doi:10.1158/1538-7445.AM2017-4851

133 Background: The genomic classifier, Decipher, has been validated to predict risk of metastasis after radical prostatectomy (RP). However, the cohort size and event rate in the previous studies did not allow for a thorough investigation into performance within individual clinicopathologic or treatment subgroups. In this study, we present the first meta-analysis of the performance of the 22-marker genomic classifier in men with prostate cancer (PCa) post-RP. Methods: MEDLINE, EMBASE, and the Decipher genomic resource information database were searched for published reports of men with PCa treated by RP between 2010 and 2016 where the benefit of the Decipher genomic classifier test was assessed. The primary end point was the ability of Decipher to independently improve prognostication of regional or distant metastasis over routine clinicopathologic factors. Meta-analysis was performed with random-effects modeling, and extent of heterogeneity between studies was determined with the I2 test. Results: Five studies (975 total patients, and 855 with individual patient genomic and clinicopathologic data) were eligible for analysis. The median follow-up was 8 years. All patients had clinical high-risk disease, yet 60.9%, 22.6%, and 16.5% of patients were classified as low, intermediate, and high-risk, respectively by Decipher and had 10-year cumulative incidence rates of metastases of 5.5%, 15.0% and 26.7% (p < 0.001), respectively. Adjusting for standard clinicopathologic variables, on multivariable analysis Decipher remained a statistically significant predictor of metastasis (hazard ratio [HR] 1.30 per 0.1 unit, 95% confidence interval [CI] 1.14-1.47, p < 0.001), and the summary HR for metastasis of Decipher across the 5 studies was 1.52 (95% CI 1.39-1.67) per 0.1 unit. Conclusions: The genomic classifier test, Decipher, has the ability to independently improve prognostication of men post-RP, as well as within nearly all clinicopathologic and treatment subgroups. Strong consideration should be given to incorporating the use of genomic testing in clinical decision making and clinical trials to better individualize treatment.

Objective To evaluate the association between renal tumour complexity and outcomes in a large cohort of patients undergoing percutaneous cryoablation ( PCA ). Patients and Methods Patients with renal tumours treated with PCA were identified using our prospectively maintained ablation registry (2003–2015). Salvage procedures and inherited tumour syndromes were excluded. The associations between R.E.N.A.L. nephrometry score ( NS ) and risk of complications, renal function impairment, local failure and cancer‐specific mortality ( CSM ) were evaluated using univariate and multivariable logistic, linear and Cox regression models. Results The cohort included 618 tumours treated during 580 procedures in 565 patients. The median (interquartile range [ IQR ]) follow‐up was 34 (14.66) months. Complications (any grade) during a procedure ( n [total] = 87, 15%) were more frequent with higher NS ( NS 4–6: 10%; NS 7–9: 14%; NS 10–12: 36%; P < 0.001). Higher NS was independently associated with risk of complications (odds ratio [ OR ; per 1 point] = 1.3; 95% confidence interval [ CI ] 1.2–1.5; P < 0.001). Of all the NS components, tumour size was the most strongly associated with complication risk ( OR 3.4; 95% CI 2.2–5.2; P < 0.001). The median ( IQR ) decline in glomerular filtration rate ( GFR ) from baseline was 9% (0, 22) at last follow‐up. Each additional point in NS was associated with a 1.3% (95% CI 0.4–2.1; P = 0.005) greater GFR decline from baseline. NS was not significantly associated with local failure ( n [total] = 14, 2%; NS 4–6: 2%; NS 7–9: 3%; NS 10–12: 5%; P = 0.32) or CSM ( n [total] = 8, 2%; NS 4–6: 2%; NS 7–9: 3%; NS 10–12: 2%; P = 0.88). Conclusion In high‐complexity tumours PCA was associated with a tumour size‐driven increased risk of post‐procedural complications. Higher NS was associated with a small, clinically minor additional decline in renal function. Risks for local failure and CSM were low, regardless of tumour complexity.

90 Background: Biochemical recurrence (BCR) may be an indicator of metastatic prostate cancer; however, it isn't specific enough to differentiate patients who will experience rapid onset of metastases from those who do not. Such lack of specificity leads to overtreatment of men who will likely never experience metastatic disease in their lifetime. We hypothesize that genomic biomarkers, detectable in primary tumor tissue, may better identify rapidly progressing metastatic prostate cancer. Methods: FFPE prostatectomy specimens (n = 309) from the Mayo Clinic tumor registry were profiled using a high-density expression array. Patients were retrospectively classified into three outcome groups: NED (no evidence of disease recurrence); BCR-only (patients that experienced BCR but no metastatic progression); and MET (metastatic disease confirmed by positive CT or bone scans) and were matched on several criteria for analysis . Uni- and multi-variable analyses between outcome groups were used to analyze clinical and genomic variables (adjusting for adjuvant hormone therapy as a confounding factor). Results: Median follow-up was 16.8 years and MET patients were diagnosed a mean of 3.1 years following BCR. Univariable and multivariable analysis of clinical variables failed to show statistically significant differences between NED and BCR-only outcome groups. Differential expression analysis between NED and BCR-only groups showed no significant differences after false discovery correction. Conversely, 6,277 and 52,020 biomarkers were differentially expressed between MET and the BCR-only and NED groups, respectively. Conclusions: Considering the clinical and genomic results together, patients who experienced rapid metastatic disease were significantly different from both the NED and BCR-only groups. However, no significant differences were identified between the BCR-only and NED outcome groups. These results imply that BCR is not a good surrogate for men who are likely to experience rapid onset of metastatic disease and lethal prostate cancer.

40 Background: Gleason score (GS) is the most widely used grading system of cell differentiation in prostate cancer and one of the best pathological predictors of disease progression. Patients with high GS (> 7) are the most likely to experience metastasis, whereas patients with low GS (< 7) are expected to have favorable long-term outcomes. In addition to the subjective nature of GS assessment, patients with GS 7 represent a heterogeneous group in terms of patient outcomes. In this study a biomarker signature is developed and validated which could improve the prediction of high risk disease among GS 7 radical prostatectomy (RP) patients. Methods: Patient specimens from the Mayo Clinic RP Registry (n = 764) were used for feature selection and training of a 392-feature K-nearest neighbor (KNN, k = 11) classifier. These 392 genomic features were identified by assessing differential expression between patients with GS < 7 and those with GS > 7, using a Bonferroni adjusted T-Test with a p-value threshold of 0.05. The classifier was subsequently validated in two independent patient cohorts (Memorial Sloan Kettering [MSKCC] and German Cancer Research Center [DKFZ]) and compared to a state of the art biomarker signature (Penney et al. 2011). Results: In the MSKCC dataset (GSE21034) our model segregated GS < 7 from GS > 7 patients (n = 56) with an area under the receiver operating characteristic curve (AUC) of 0.97, comparable to the AUC of 0.94 obtained by Penney et al. in their independent validation set (n = 45). Strong performance was observed by our model when discriminating between primary Gleason grade (pGG) 3 and pGG 4 & 5 patients in the MSKCC (n = 130) and DKFZ prostate cancer (GSE29079, n = 47) datasets, achieving AUCs of 0.75 and 0.87, respectively. In the challenging GS 7 subset, our model segregated GS 3 + 4 and 4 + 3 patients in the DKFZ dataset (n = 64) with an AUC of 0.81 outperforming the Penney et al. signature (AUC = 0.60). Conclusions: A biomarker signature was developed which discriminates between low and high GS patients, outperforming a previously reported signature. Further validation of this biomarker signature in additional post RP patients, as well as, pretreatment biopsy specimens is warranted.