Target therapy in metastatic pheochromocytoma: current perspectives and controversies

Most of the pheochromocytomas (PCCs) are benign neoplasms, but when they are malignant, they can be difficult to treat. Despite advances in diagnosis and imaging, it remains an untreatable tumor, when metastases develop. A deeper understanding of the alteration of the specific molecular pathways causing malignant PCCs might hopefully lead in the future to the development of multiple molecular-targeted therapies to treat it successfully. Clinical experience and the use of murine models of metastatic PCCs have helped introduce new experimental treatment options which will significantly help the PCCs community explore novel targeted therapies that have already shown promising results in many other types of tumors

The pattern of infection and antibiotics use in terminal cancer patients

AbstractBackgroundAlthough cancer patients are susceptible to infection, there is no evidence-based published guideline on the appropriate use of antimicrobial treatment in this group of patients.MethodsWe retrospectively collected medical records of all terminal cancer patients who died in the oncology department over a 15-month period and were reviewed for the pattern of infection and causes of antimicrobial use during the patients’ last admission of life.ResultsA total of 258 eligible patients were enrolled, there was an equal distribution of males and females (M/F: 129/129), and the mean age was 60.5years. 221 patients admitted with fever (85%), 22 patients (8.5%) got fever after hospitalization and 15 patients (5.8%) did not suffer from fever. Among patients with fever, 46 patients (18.9%) had two infection episodes and 197 patients (81.1%) had only one infection episode. The culture results revealed positive in 98 patients (40%) with gram-negative organisms were the dominant organisms. The major infection sites were the respiratory tract, urinary tract and wound. 114 patients (47%) received one antibiotic and 129 patients (53%) received more than one. The mean duration of hospitalization was significantly longer for infected patients than for uninfected patients (8.00 vs. 18.15days, p=0.0001). Outcome of antibiotic use revealed 42 patients (17.3%) with symptoms improved 71 patients (29.2%) with stationary symptoms and 130 patients (53.5%) revealed symptom deterioration.ConclusionsOur study revealed that antibiotic therapy for terminal cancer patients should be on a clear rationale. We need further study to clarify if there is survival effect with antibiotic use or not

Impact of body mass index on clinico-pathological parameters and outcome in patients with metastatic prostate cancer

Background: This study evaluates the correlation between body mass index (BMI) and clinicopathological parameters of metastatic prostate cancer (MPC) and its impact on survival. Method: During the study period, 71 MPC patients were eligible. Patients with BMI < 25.0 kg/m2 were categorized as level I and patients with BMI ⩾ 25.0 kg/m2 were categorized as level II. Demographic features and survival rates were evaluated by the Kaplan–Meier method and Cox proportional models. Results: 31 patients belonged to level I while the rest belonged to level II with insignificant higher median follow-up duration in level II; p = 0.5. In terms of age, metastasis, serum level of albumin, prostatic specific antigen, alkaline phosphatase (AKP) and Gleason score, there was no significant difference between the two levels. The cumulative survival probability in the 12th, 24th and 36th month in level I vs; level II was; 86.7%, 68.7%, 64.1% vs; 74.4%, 67.7%, 55.1%, respectively with 7 patients dead in level I compared to 14 patients dead in level II denoting a higher PC-specific death rate in the level II group. In univariate and multivariate analysis, poor prognosis was associated with increasing AKP (HR = 1.0005, 95% CI, p = 0.03; HR = 1.001, 95% CI, p = 0.03) respectively, while better prognosis was associated with no visceral metastasis (HR = 0.09, 95% CI, p = 0.000; HR = 0.04, 95% CI, p = 0.000) and increasing albumin levels (HR = 0.17, 95% CI, p = 0.000; HR = 0.15, 95% CI, p = 0.000) respectively. In multivariate analysis only, patients belonging to level I were associated with better prognosis (HR = 0.17, 95% CI, p = 0.02). Conclusion: BMI is dependent on prognostic factors in patients with MPC