Thirty-Day Mortality Following Systemic Anticancer Therapy: Evaluating Risk Factors Without Selection Bias in a Real-World, Population-Based Cohort From 2009 to 2019.

AIMS: Risk factors for systemic anticancer therapies (SACTs) administered close to death derived from existing quality indicators are not directly applicable in the clinic, because they condition on future events, which leads to selection bias. This study aimed to adapt a previously suggested indicator for its use in a clinical context and to evaluate it in a real-world, population-based cohort of cancer patients. MATERIALS AND METHODS: An improved version of the '30-day mortality after SACT' indicator suggested by Wallington et al. (Lancet Oncol 2016; 17:1203-16) was defined. All SACTs (n = 16 622) for all patients (n = 10 213) treated for common malignancies between 2009 and 2019 in the North Denmark Region were included. The results for the improved and Wallington's indicators were calculated and compared. RESULTS: Overall, the association between clinical variables and 30-day mortality following SACT was similar for both indicators, except for the 75+ years age group. However, Wallington's indicator showed varying absolute risk when comparing values for quarterly and yearly observation intervals. The improved and Wallington's indicators showed large differences between curative (1.0% and 1.1%, respectively) and palliative SACTs (9.1% and 11.7%, respectively). For palliative SACTs, different types of malignancy presented with large variations for the improved indicator, ranging from above 10% for gastroesophageal, pancreatic and lung cancers to below 4% for prostate cancers. The value of the improved indicator was significantly lower in the last years of the study period compared with the 2009-2011 period. The type of malignancy was also associated with significant differences. CONCLUSIONS: We defined an indicator adapted to the clinical context evaluating 30-day mortality following SACT. This indicator can be used to identify risk factors to help with clinical decision-making. A significant downward trend was observed in the 30-day mortality following palliative SACT over an 11-year period.

Adjuvant platinum-based chemotherapy in non-small cell lung cancer: The role of relative dose-intensity and treatment delay.

BACKGROUND: The study investigated the association of the relative dose-intensity (RDI) of cisplatin and timing of adjuvant platinum-based chemotherapy (APC) with survival for stage I-III non-small cell lung cancer (NSCLC) patients. MATERIAL AND METHODS: Real-life data of patients treated with APC (four cycles of cisplatin and vinorelbine) between 2007 and 2014 was included to analyse the association between disease-free survival (DFS) and overall survival (OS) with RDI (ratio of received to planned dose-intensity). High RDI was defined as cisplatin RDI of > 75% and low RDI ≤ 75%. RESULTS: Out of 198 patients, 166 were eligible. Low RDI was administered to 72 (43%) patients. In multivariate analysis, those patients had a significantly higher risk of recurrence (HR: 1.87, 95%CI 1.13-3.09, p = 0.01) and death (HR: 1.91, 95%CI 1.32-3.23, p = 0.01) versus patients in the high RDI group. The risk of death was significantly higher in patients with PS 1 treated with low versus high RDI (HR: 2.72, 95%CI: 1.22-6.09, p = 0.014). The risk of recurrence was higher for patients with squamous cell carcinoma of low versus high RDI (HR: 3.82, 95%CI: 1.01-14.4, p = 0.048). No impact of delayed APC beyond six weeks from surgery on neither DFS (HR: 0.78, 95%CI: 0.46-1.33, p = 0.36) nor OS (HR 0.67, 95%CI: 0.40-1.15, p = 0.15) was observed. CONCLUSION: Low cisplatin RDI ≤ 75% of APC, but not extended time from surgery to APC onset > six weeks, was associated with significantly shorter survival in NSCLC patients.

Fractional exhaled nitric oxide as a potential biomarker for radiation pneumonitis in patients with non-small cell lung cancer: A pilot study.

INTRODUCTION: The aim of the study was to investigate repetitive fractional exhaled nitric oxide (FeNO) measurements during high-dose radiation therapy (HDRT) and to evaluate the use of FeNO to predict symptomatic radiation pneumonitis (RP) in patients being treated for non-small cell lung cancer (NSCLC). MATERIALS AND METHODS: A total of 50 patients with NSCLC referred for HDRT were enrolled. FeNO was measured at baseline, weekly during HDRT, one month- and every third month after HDRT for a one-year follow-up period. The mean FeNO(visit 0-6) was calculated using the arithmetic mean of the baseline and weekly measurements during HDRT. Patients with grade ≥ 2 of RP according to the Common Terminology Criteria for Adverse Events (CTCAE) were considered symptomatic. RESULTS: A total of 42 patients completed HDRT and weekly FeNO measurements. Grade ≥ 2 of RP was diagnosed in 24 (57%) patients. The mean FeNO(visit 0-6) ±â€¯standard deviation in patients with and without RP was 15.0 ±â€¯7.1 ppb (95%CI: 12.0-18.0) and 10.3 ±â€¯3.4 ppb (95%CI: 8.6-11.9) respectively with significant differences between the groups (p = 0.0169, 95%CI: 2.3-2.6). The leave-one-out cross-validated cut-off value of the mean FeNO(visit 0-6) ≥ 14.8 ppb was predictive of grade ≥ 2 RP with a specificity of 71% and a positive predictive value of 78%. CONCLUSIONS: The mean FeNO(visit 0-6) in patients with symptomatic RP after HDRT for NSCLC was significantly higher than in patients without RP and may serve as a potential biomarker for RP.

Performance comparison of Affymetrix SNP6.0 and cytogenetic 2.7M whole-genome microarrays in complex cancer samples.

The Affymetrix cytogenetic 2.7M whole-genome microarray (Cyto2.7M) detects genomic aberrations. The Cyto2.7M array has increased coverage in regions with cancer-related genes, ~4-fold reduced processing time, and 5-fold reduced input requirements (100 ng) compared to the commonly used Affymetrix SNP6.0 genome-wide microarray (SNP6.0). We set out to compare the performance of these microarrays on cancer samples containing complex genomic changes. We analyzed genomic DNA from 8 lymphoma samples and 1 blood sample using both SNP6.0 and Cyto2.7M microarrays. We compared the arrays with respect to 4 parameters, including detection of copy number variations (CNV), CNV boundaries, the actual copy number (CN) assigned to the aberrations, and loss of heterozygosity. The CN state of selected regions was validated by quantitative PCR. Very high consistency between arrays on all parameters tested was observed, hence only 30 of 224 aberrations disagreed on the CN state, corresponding to a total of ~12 Mb or 0.06% of the analyzed base pairs. Thus, the SNP6.0 and Cyto2.7M arrays are equally well suited to detect genomic aberrations in complex samples such as cancer samples. With reduced processing time and lower input requirements, the Cyto2.7M array enables genomic analysis of samples where only limited DNA is available.