Citations

AbstractBackgroundFluconazole is the most commonly used antifungal treatment for various forms of coccidioidomycosis. Although we had anecdotally observed a high proportion of patients reporting cutaneous adverse effects associated with fluconazole treatment, this observation was not well described in the medical literature, and we were unsure of the additional effect of the arid desert environment of Arizona.MethodsWe performed a one‐time, voluntary survey of patients with coccidioidomycosis and compared the responses of patients treated with fluconazole with those of untreated patients.ResultsFrom January 1, 2015, to August 22, 2017, 62 fluconazole‐treated and 35 untreated patients with coccidioidomycosis provided consent and were enrolled in the study; demographics were similar between the two groups. Among the 62 fluconazole‐treated patients, daily dosages ranged from 200 mg to 800 mg. However, most (44/62, 71%) took 400 mg daily, the typical dose for the treatment of coccidioidomycosis. The median fluconazole treatment duration at the time of study participation was 6 months. When compared with untreated patients, those taking fluconazole had more moderate to severe dry lips (74.2% [46/62] vs. 23.5% [8/34]; P < 0.001), dry skin (45.8% [27/59] vs. 22.9% [8/35]; P = 0.03), and alopecia (31.1% [19/61] vs. 11.4% [4/35]; P = 0.004).ConclusionsFor the treatment of coccidioidomycosis, patients receiving fluconazole reported significantly more severe cutaneous effects, including dry lips, dry skin, and alopecia, than untreated patients. Our findings identify an association but do not prove causality.

In the past, the treatment of autosomal dominant polycystic kidney disease (ADPKD) has been limited to the management of its symptoms and complications. Recently, the US Food and Drug Administration (FDA) approved tolvaptan as the first drug treatment to slow kidney function decline in adults at risk of rapidly progressing ADPKD. Full prescribing information approved by the FDA provides helpful guidelines but does not address practical questions that are being raised by nephrologists, internists, and general practitioners taking care of patients with ADPKD, and by the patients themselves. In this review, we provide practical guidance and discuss steps that require consideration before and after prescribing tolvaptan to patients with ADPKD to ensure that this treatment is implemented safely and effectively. These steps include confirmation of diagnosis; identification of rapidly progressive disease; implementation of basic renal protective measures; counseling of patients on potential benefits and harms; exclusions to use; education of patients on aquaresis and its expected consequences; initiation, titration, and optimization of tolvaptan treatment; prevention of aquaresis-related complications; evaluation and management of liver enzyme elevations; and monitoring of treatment efficacy. Our recommendations are made on the basis of published evidence and our collective experiences during the randomized, clinical trials and open-label extension studies of tolvaptan in ADPKD.

Purpose In April 2017, the American Urological Association, American Society for Radiation Oncology, and Society of Urologic Oncology released a joint evidence-based practice guideline on clinically localized prostate cancer. The American Society of Clinical Oncology (ASCO) has a policy and set of procedures for endorsing clinical practice guidelines that have been developed by other professional organizations. Methods The Clinically Localized Prostate Cancer guideline was reviewed for developmental rigor by methodologists. An ASCO Expert Panel then reviewed the content and the recommendations. Results The ASCO Expert Panel determined that the recommendations from the Clinically Localized Prostate Cancer guideline were clear, thorough, and based upon the most relevant scientific evidence. ASCO endorsed the Clinically Localized Prostate Cancer guideline except for two recommendations on cryosurgery. The two recommendations covering cryosurgery were not endorsed because the panel found that there is insufficient evidence to support the use of cryotherapy in this setting. Recommendations The ASCO Expert Panel endorsed all but two of the original guideline recommendations as written and offered a series of discussion points to guide practice.

Thymidylate synthase (TYMS) is a crucial enzyme for DNA synthesis. TYMS expression is regulated by its antisense mRNA, ENOSF1. Disrupted regulation may promote uncontrolled DNA synthesis and tumor growth. We sought to replicate our previously reported association between rs495139 in the TYMS-ENOSF1 3′ gene region and increased risk of mucinous ovarian carcinoma (MOC) in an independent sample. Genotypes from 24,351 controls to 15,000 women with invasive OC, including 665 MOC, were available. We estimated per-allele odds ratios (OR) and 95% confidence intervals (CI) using unconditional logistic regression, and meta-analysis when combining these data with our previous report. The association between rs495139 and MOC was not significant in the independent sample (OR = 1.09; 95% CI = 0.97–1.22; p = 0.15; N = 665 cases). Meta-analysis suggested a weak association (OR = 1.13; 95% CI = 1.03–1.24; p = 0.01; N = 1019 cases). No significant association with risk of other OC histologic types was observed (p = 0.05 for tumor heterogeneity). In expression quantitative trait locus (eQTL) analysis, the rs495139 allele was positively associated with ENOSF1 mRNA expression in normal tissues of the gastrointestinal system, particularly esophageal mucosa (r = 0.51, p = 1.7 × 10−28), and nonsignificantly in five MOC tumors. The association results, along with inconclusive tumor eQTL findings, suggest that a true effect of rs495139 might be small.

Abstract Background: This is an update of the safety and efficacy of durvalumab monotherapy in pts with locally advanced/metastatic urothelial carcinoma (UC) from an ongoing, phase 1/2 open-label study (NCT01693562). Methods: Pts received 10 mg/kg every 2 weeks up to 12 months or until unacceptable toxicity, progression, or starting another anticancer therapy. Pts were stratified by tumor PD-L1 expression (Ventana PD-L1 [SP263] Assay [PD-L1 cutoff: ≥25% of tumor cells and/or immune cells with membrane staining]) and treatment line. Results: As of the data cutoff (16Oct2017), 201 UC pts with Stage IV disease received treatment, with a median follow-up of 16.9 months (range, 0.4-37.7). Across treatment lines, objective response rate (ORR) by blinded independent central review was 17.4% (95% CI, 12.4, 23.4) in all pts; 27.5% in the PD-L1 ≥25% group vs 5.8% in the PD-L1 &lt;25% group. The responses have been durable regardless of PD-L1 status, with the median duration of response not yet reached in the PD-L1 ≥25% group and 12.2 months in the PD-L1 &lt;25% group. Responses lasted ≥12 mo in 62.9% of responders (max 25.7+ mo). Overall, median OS was 10.5 months (95% CI, 6.9, 15.7); 19.8 months in the PD-L1 ≥25% group vs 4.8 months in the PD-L1 &lt;25% group (Table). Pts previously treated with platinum based chemotherapy also reported similar durable responses. At least one treatment-related AE was reported in 120 pts (59.7%), including fatigue (39 [19.4%]), decreased appetite and rash (18 [9.0%] each), and diarrhea (16 [8.0%]). Grade 3/4 treatment-related AEs occurred in 19 (9.5%) pts; 6 (3.0%) treatment discontinuations and 2 (1.0%) deaths were attributed to treatment-related AEs. Conclusions: With extended follow-up, durvalumab continues to show durable clinical activity in UC pts, especially in the PD-L1 ≥25% group with an acceptable toxicity profile. PD-L1 ≥25%PD-L1 &lt;25%PD-L1 unknownTotalAll UCn=102n=86n=13N=201Confirmed ORR, %27.55.815.417.4(95% CI)(19.1, 37.2)(1.9, 13.0)(1.9, 45.4)(12.4, 23.4)CR, %7.83.57.76.0PR, %19.62.37.711.4Median DoR, monthsNR12.2NRNR(min, max)(2.7, 25.7+)(8.6, 21.7+)(14.5+, 14.6+)(2.7, 25.7+)Median PFS, months (95% CI)1.9 (1.4, 2.7)1.4 (1.3, 1.5)2.8 (1.4, NE)1.5 (1.4, 1.8)6-month PFS rate, %28.68.625.220.412-month PFS rate, %22.37.125.216.2Median OS, months (95% CI)19.8 (9.3, NE)19.8 (9.3, NE)4.8 (3.3, 8.1)NR (4.9, NE)10.5 (6.9, 15.7)6-month OS rate, %67.645.869.258.912-month OS rate, %57.629.561.546.6 Citation Format: Peter O'Donnell, Christophe Massard, Bhumsuk Keam, Sang-We Kim, Terry Friedlander, Myung-Ju Ahn, Michael Ong, Michael Gordon, Marcus Butler, Scott Antonia, Gerardo Colon-Otero, Martin Gutierrez, Sumati Gupta, Alexander Spira, Alexandra Drakaki, Michele Maio, Feng Xiao, Natasha Angra, Shaad Abdullah, Thomas Powles. Updated efficacy and safety profile of durvalumab monotherapy in urothelial carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr CT031.

Objective: To determine whether the association between overall survival (OS) and response to neoadjuvant chemotherapy (NACT) in breast cancer patients varies with tumor subtype and anatomic extent of pathologic complete response (pCR). Background: pCR after NACT predicts improved OS in breast cancer, but it is unclear whether pCR limited to the breast or axilla is also associated with OS. Methods: Women with cT1-3/cN0-1 breast cancer diagnosed in 2010 to 2014 who underwent surgery following NACT were identified in the NCDB and divided into 4 subtypes based on reported hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) status. Kaplan-Meier curves and Cox proportional hazards models were used to estimate OS. Multivariate logistic regression was used to identify factors associated with post-NACT response, defined as upstage (yp stage>clinical stage); no change (clinical stage = yp stage); overall (breast+axilla, ypT0N0), breast-only (ypT0N1/N1mic), or node-only (ypT1-3N0) pCR. Results: Of 33,162 identified patients, 20,265 experienced overall pCR (n = 6370, 19.2%), breast-only pCR (n = 494, 1.5%), node-only pCR (n = 1133, 3.4%), no stage change (n = 9641, 29.1%), or upstage (n = 2627, 7.9%). Compared with no stage change, breast-only pCR was associated with improved OS in triple-negative disease [hazard ratio = 0.58, 95% confidence interval (95% CI) = 0.37–0.89], and node-only pCR was associated with improved OS in both triple-negative (hazard ratio = 0.55,95% CI = 0.39–0.76) and HR+/HER2− disease (hazard ratio = 0.54, 95% CI = 0.33–0.89). For patients achieving overall (breast+axilla) pCR, unadjusted 5-year OS was 0.94 (95% CI = 0.93–0.95), with no difference between patients who were cN0 (hazard ratio = 0.95, 95% CI = 0.93–0.96) or cN1 (hazard ratio = 0.94, 95% CI = 0.92–0.96) at diagnosis. Conclusions: In node-positive patients, pCR limited to either the breast or axilla predicts survival for select receptor subtypes. In patients achieving pCR in both the breast and axilla, survival is driven by response to NACT rather than presenting cN stage.

Background/aims The goal of this article is to illustrate the utility of multi-state models in cancer clinical trials. Our specific aims are to describe multi-state models and how they differ from standard survival methods, to illustrate how multi-state models can facilitate deeper understanding of the treatment effect on multiple paths along the disease process that patients could experience in cancer clinical trials, to explain the differences between multi-state models and time-dependent Cox models, and to briefly describe available software to conduct such analyses. Methods Data from 717 newly diagnosed acute myeloid leukemia patients who enrolled in the CALGB 10603 trial were used as an illustrative example. The current probability-in-state was estimated using the Aalen–Johansen estimator. The restricted mean time in state was calculated as the area under the probability-in-state curves. Cox-type regression was used to evaluate the effect of midostaurin on the various clinical paths. Simulation was conducted using a newly constructed shiny application. All analyses were performed using the R software. Results Multi-state model analyses of CALGB 10603 suggested that the overall improvement in survival with midostaurin seen in the primary analysis possibly resulted from a higher complete remission rate in combination with a lower risk of relapse and of death after complete remission in patients treated with midostaurin. Simulation results, in a three-state illness-death without recovery model, demonstrate that multi-state models and time-dependent Cox models evaluate treatment effects from different frameworks. Conclusion Multi-state models allow detailed evaluation of treatment effects in complex clinical trial settings where patients can experience multiple paths between study enrollment and the final outcome. Multi-state models can be used as a complementary tool to standard survival analyses to provide deeper insights to the effects of treatment in trial settings with complex disease process.