The prognostic significance of left ventricular ejection fraction in patients with advanced cancer treated in phase I clinical trials

Nonlinear heart rate variability biomarkers for gastric cancer severity: A pilot study

Identifying prognostic factors by affordable tools is crucial for guiding gastric cancer (GC) treatments especially at earlier stages for timing interventions. The autonomic function that is clinically assessed by heart rate variability (HRV) is involved in tumorigenesis. This pilot study was aimed to examine whether nonlinear indices of HRV can be biomarkers of GC severity. Sixty-one newly-diagnosed GC patients were enrolled. Presurgical serum fibrinogen (FIB), carcinoembryonic antigen (CEA), and carbohydrate antigen 19-9 (CA199) were examined. Resting electrocardiogram (ECG) of 5-min was collected prior to surgical treatments to enable the HRV analysis. Twelve nonlinear HRV indices covering the irregularity, complexity, asymmetry, and temporal correlation of heartbeat fluctuations were obtained. Increased short-range temporal correlations, decreased asymmetry, and increased irregularity of heartbeat fluctuations were associated with higher FIB level. Increased irregularity and decreased complexity were also associated with higher CEA level. These associations were independent of age, sex, BMI, alcohol consumption, history of diabetes, left ventricular ejection fraction, and anemia. The results support the hypothesis that perturbations in nonlinear dynamical patterns of HRV predict increased GC severity. Replication in larger samples as well as the examination of longitudinal associations of HRV nonlinear features with cancer prognosis/survival are warranted.

Trastuzumab in Female Breast Cancer Patients With Reduced Left Ventricular Ejection Fraction

Background Trastuzumab is life-extending therapy for breast cancer patients overexpressing the human epidermal growth factor receptor 2 ( HER 2+), but has known cardiotoxic risk. We sought to determine if trastuzumab can be administered to patients with reduced baseline cardiac function at no higher cardiotoxicity risk than in those with normal cardiac function at baseline. Methods and Results We performed a retrospective study of women treated with trastuzumab for human epidermal growth factor receptor 2 breast cancer at Mayo Clinic Rochester between January 1, 2000 and August 31, 2015 with pre- and on-therapy echocardiograms available for review. A left ventricular ejection fraction (LVEF) <53% was considered abnormal, and a ≥10% decline in LVEF as evidence of cardiotoxicity based on the criteria of the American Society of Echocardiography. A total of 428 women were identified; 408 had a normal cardiac function ( LVEF 63.4±5%) and 20 had an impaired cardiac function ( LVEF 45.4±7%) before trastuzumab. Seven women (35%) with reduced LVEF at baseline had a ≥10% reduction in LVEF , compared with 179 (43.9%) of those with normal LVEF before trastuzumab initiation ( P= NS ). Symptomatic heart failure developed more often in patients with reduced versus normal baseline LVEF (25% versus 4.2%, P<0.05). After adjusting for patient age and breast cancer disease stage, survival rates over 5 years from time of diagnosis were found to be lower for patients with reduced baseline LVEF compared with patients with normal baseline LVEF ( P<0.001); the adjusted proportion of patients surviving at 5 years for those with low LVEF at baseline was 79% and for those with normal LVEF was 93%. Conclusions Women undergoing trastuzumab therapy for breast cancer with impaired baseline cardiac function experience no higher risk of LVEF decline, but more frequently develop symptomatic heart failure. While trastuzumab could be considered, these patients should be co-managed by a cardiologist.

Academic Cancer Center Phase I Program Development

This commentary assesses the factors necessary for the effectiveness of academic phase I cancer programs. The metrics presented here may be useful as a rubric for new and established programs.

Multiple factors critical to the effectiveness of academic phase I cancer programs were assessed among 16 academic centers in the U.S. Successful cancer centers were defined as having broad phase I and I/II clinical trial portfolios, multiple investigator‐initiated studies, and correlative science. The most significant elements were institutional philanthropic support, experienced clinical research managers, robust institutional basic research, institutional administrative efforts to reduce bureaucratic regulatory delays, phase I navigators to inform patients and physicians of new studies, and a large cancer center patient base. New programs may benefit from a separate stand‐alone operation, but mature phase I programs work well when many of the activities are transferred to disease‐oriented teams. The metrics may be useful as a rubric for new and established academic phase I programs.

Evaluation of bone scan index change over time on automated calculation in bone scintigraphy

OBJECTIVE

Bone scintigraphy (bone scan) is useful in detecting metastatic bone lesions through visual assessment of hot spots. A semi-quantitative analysis method that evaluates bone scan images has been eagerly anticipated. BONENAVI is software that enables automatic assessment of bone scan index (BSI). BSI is useful for stratifying cancer patients and monitoring their therapeutic response. The purpose of this study was to evaluate the BONENAVI reading in determining BSI and hot spots at different time intervals after radioisotope injection.

METHODS

We evaluated 32 patients, including 22 males and 10 females. Ten patients had breast cancer, 20 patients had prostate cancer, and 2 had malignant pheochromocytoma. Patients were injected with 740 MBq of (99m)Tc-methylene diphosphonate and bone scintigraphy was performed at 2, 4, and 6 h after injection on each patient. The BSI and the number of hot spots were obtained from BONENAVI software. Bone scan images were also visually assessed to exclude false positives due to artifacts. Analyses were performed in all lesions, selected true lesions, segment based and cancer type based. Non-parametric statistical analyses for pairwise multiple group comparison were performed using Friedman test followed with post hoc analysis.

RESULTS

The BSIs and the number of hot spots were significantly increased with time, with significant differences between each of time points (P < 0.001). Analysis of regional BSI (rBSI) and hot spot number changes of selected 15 true lesions also showed similar increase (P < 0.001). In general, the pelvic segment was the most prone to rBSI changes and the chest segment was the most prone to hot spot number changes. Visual assessment showed that BONENAVI diagnosed some typical artifacts as metastases (hot spots).

CONCLUSION

BONENAVI reading of BSIs and hot spot numbers was highly affected by acquisition time. In serial or follow-up examinations (in particular, for monitoring therapeutic efficacy), acquisition time should be fixed for each patient. Cautious interpretation should be made on segments with high physiological uptake. BONENAVI reading was prone to misinterpretation of artifacts. Visual assessment is necessary to rule out this possibility.