Citations

AbstractThis analysis was performed to create a scoring system to estimate the survival of patients with non‐small cell lung cancer (NSCLC). Data from 1274NSCLCpatients were analyzed to create and validate a scoring system. Univariate (UV) and multivariate (MV) Cox models were used to evaluate the prognostic importance of each baseline factor. Prognostic factors that were significant on bothUVandMVanalyses were used to develop the score. These included quality of life, age, performance status, primary tumor diameter, nodal status, distant metastases, and smoking cessation. The score for each factor was determined by dividing the 5‐year survival rate (%) by 10 and summing these scores to form a total score.MVmodels and the score were validated using bootstrapping with 1000 iterations from the original samples. The score for each prognostic factor ranged from 1 to 7 points with higher scores reflective of better survival. Total scores (sum of the scores from each independent prognostic factor) of 32–37 correlated with a 5‐year survival of 8.3% (95%CI = 0–17.1%), 38–43 correlated with a 5‐year survival of 20% (95%CI = 13–27%), 44–47 correlated with a 5‐year survival of 48.3% (95%CI = 41.5–55.2%), 48–49 correlated to a 5‐year survival of 72.1% (95%CI = 65.6–78.6%), and 50–52 correlated to a 5‐year survival of 84.7% (95%CI = 79.6–89.8%). The bootstrap method confirmed the reliability of the score. Prognostic factors significantly associated with survival on bothUVandMVanalyses were used to construct a valid scoring system that can be used to predict survival ofNSCLCpatients. Optimally, this score could be used when counseling patients, and designing future trials.

Background: The burden associated with caregiving has been well documented. Caregivers have multiple responsibilities, and technology may be accessible as a potential burden-alleviating resource. Materials and Methods: We surveyed cancer caregivers regarding current technology use and willingness to use technology for easing burden or distress. Because age has been associated with technology use, responses were compared between geriatric (≥65 years old) and nongeriatric (18–64 years old) caregivers. Results: We had 112 respondents. Based on nonmissing responses, 66% ( n =71) were women, 95% ( n =106) were white, and 84% ( n =91) had post–high school education. Almost all caregivers reported having Internet (105 [94%]) and e-mail (102 [91%]) access. Nongeriatric caregivers indicated more willingness to access Internet-based tools that help caregivers (54 [93%] versus 41 [76%]; p =0.04) and were more frequent users of social media (37 [64%] versus 16 [30%]; p =0.01), smartphones (33 [57%] versus 16 [30%]; p =0.01), and other mobile wireless devices (42 [72%] versus 19 [35%]; p <0.001) than geriatric caregivers. They also more frequently expected technologies to improve their own quality of life ( p =0.009), increase their feelings of being effective as a caregiver ( p =0.02), and save time ( p =0.003). Regardless of age, a majority of caregivers (67 [62%]) endorsed the potential benefit of caregiving technologies in preventing burnout. Conclusions: Most caregivers have high access to and use of technology. Geriatric and nongeriatric caregivers were receptive to technology-based tools to help with their caregiving roles. Although nongeriatric caregivers expected to derive more benefit from such tools, both groups believed that caregiving technologies could reduce burden.

BACKGROUNDInaccurate or incomplete information in the written portion of the patient handoff, or sign‐out, may be associated with adverse events in hospitalized patients. Little is known about what information providers actually include in written sign‐out documents and how sign‐outs change over time.OBJECTIVES(1) Provide a descriptive analysis of initial and subsequent hospital day‐written sign‐out content, and (2) evaluate the relationship between team workload and sign‐out composition.DESIGNRetrospective review of sign‐out documents from a larger observational study of general medicine patients admitted to housestaff and hospitalist teams at 3 hospitals.MAIN MEASURESThe presence of 13 components of a high‐quality sign‐out. We performed descriptive analyses and compared initial and subsequent day sign‐outs for content.KEY RESULTSWe reviewed 200 patient hospitalizations (200 initial handoffs, 580 subsequent day handoffs). Initial sign‐out entries contained a mean of 7.54 (standard deviation: 2.27) key sign‐out components. Subsequent day sign‐outs contained a higher percentage of certain key elements but had more vague language. The number of elements present in the sign‐out was reduced as patient census increased (r = −0.295, P < 0.01).CONCLUSIONSSign‐out composition changes over time, and is associated with workload. Future interventions to improve quality should take these factors into consideration. Journal of Hospital Medicine 2015;10:534–536. © 2015 Society of Hospital Medicine.

Abstract Background: Treatment options for women with ovarian cancer remain very limited and acquired resistance to current therapies is very common. Altered DNA repair capability in epithelial ovarian cancer (EOC) may underlie response to both standard therapy and novel treatments, such as PARP inhibitors. Molecular sub-classification of high-grade serous ovarian cancer (HG-SOC) may uncover potential drug targets and possible mechanisms of drug resistance. Understanding the contribution of DNA repair and other driver mutations to drug response and resistance requires the development of molecularly annotated preclinical models reflective of the clinic. Methods: A patient derived xenograft (PDX) cohort has been generated from consecutive, chemotherapy-naïve human HG-SOC and stratified according to in vivo response to standard chemotherapy, DNA repair capability and molecular characteristics, including next generation sequencing by Foundation Medicine. Resistance to therapy is driven by re-treating relapsed PDX in vivo providing invaluable “paired samples” (pre and post drug treatment), which are difficult to obtain from patients, to allow clonal evolution analysis of mechanisms of drug response and resistance. Results: The xenograft success rate was 83%. Of ten HG-SOC PDX, all exhibited mutations in TP53, five in BRCA1/2 (two of which were germline) and two were methylated for BRCA1. In vivo cisplatin response, determined as platinum sensitive (progression-free interval (PFI) ≥100 d, n=4), platinum resistant (PFI &lt;100 d, n=3) or platinum refractory (n=3), was largely consistent with patient outcome. Three of four platinum sensitive HG-SOC PDX contained DNA repair gene mutations, and the fourth was methylated for BRCA1. In contrast, all three platinum refractory PDX overexpressed dominant oncogenes (CCNE1, LIN28B and/or BCL2). Molecular analysis of this cohort has revealed actionable targets for novel therapeutic strategies. In vivo studies, including with PARP inhibitors, are underway. Conclusion: PDX with histologic, molecular and therapeutic annotation, as well as clinical outcome data allow interrogation of molecular aberrations and drug resistance in vivo. This will inform targeting of novel therapies and the design of clinical trials for women. Citation Format: Monique D. Topp, Lynne Hartley, Michele Cook, Valerie Heong, Emma Boehm, Lauren McShane, Jan Pyman, Orla McNally, Sumi Ananda, Maria I. Harell, Dariush Etemadmoghadam, Laura Galletta, Kathryn Alsop, Gillian Mitchell, Stephen B. Fox, Jeff B. Kerr, Karla J. Hutt, Scott H. Kaufmann, Australian Ovarian Cancer Study (AOCS), Elizabeth M. Swisher, David D. Bowtell, Matthew M. Wakefield, Clare L. Scott. Using molecularly characterized patient-derived models to delineate underlying drivers and vulnerabilities of epithelial ovarian cancer. [abstract]. In: Proceedings of the AACR Special Conference: Cancer Susceptibility and Cancer Susceptibility Syndromes; Jan 29-Feb 1, 2014; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(23 Suppl):Abstract nr 38. doi:10.1158/1538-7445.CANSUSC14-38

BACKGROUNDPostmenopausal women with breast cancer receiving aromatase inhibitors are at an increased risk of bone loss. The current study was undertaken to determine whether upfront versus delayed treatment with zoledronic acid (ZA) impacted bone loss. This report described the 5‐year follow‐up results.METHODSA total of 551 postmenopausal women with breast cancer who completed tamoxifen treatment and were undergoing daily letrozole treatment were randomized to either upfront (274 patients) or delayed (277 patients) ZA at a dose of 4 mg intravenously every 6 months. In the patients on the delayed treatment arm, ZA was initiated for a postbaseline bone mineral density T‐score of <‐2.0 or fracture.RESULTSThe incidence of a 5% decrease in the total lumbar spine bone mineral density at 5 years was 10.2% in the upfront treatment arm versus 41.2% in the delayed treatment arm (P<.0001). A total of 41 patients in the delayed treatment arm were eventually started on ZA. With the exception of increased NCI Common Toxicity Criteria (CTC) grade 1/2 elevated creatinine and fever in the patients treated on the upfront arm and cerebrovascular ischemia among those in the delayed treatment arm, there were no significant differences observed between arms with respect to the most common adverse events of arthralgia and back pain. Osteoporosis occurred less frequently in the upfront treatment arm (2 vs 8 cumulative cases), although this difference was not found to be statistically significant. Bone fractures occurred in 24 patients in the upfront treatment arm versus 25 patients in the delayed treatment arm.CONCLUSIONSImmediate treatment with ZA prevented bone loss compared with delayed treatment in postmenopausal women receiving letrozole and these differences were maintained at 5 years. The incidence of osteoporosis or fractures was not found to be significantly different between treatment arms. Cancer 2015;121:2537–2543. © 2015 American Cancer Society.