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J Oncol Pharm Pract ; 28(2): 326-336, 2022 Mar.
Article in English | MEDLINE | ID: mdl-33470162

ABSTRACT

INTRODUCTION: Capecitabine is an oral anticancer drug which can cause some adverse reactions and the great challenge for its use is to ensure the medication adherence. The aim of this study was to analyze adverse reactions and adherence to capecitabine in patients with gastrointestinal cancer. METHODS: A prospective study was performed in a tertiary teaching hospital in Brazil. Outpatients undergoing capecitabine treatment for colorectal or gastric cancer were followed for three cycles of treatment. Patient demographic and clinical characteristics data were collected. Adverse reactions were analyzed using Common Terminology Criteria for Adverse Events (CTCAE) v.4. Adherence to capecitabine were evaluated using Morisky-Green and MedTake tests. Statistical analysis was conducted using Chi-square, Fisher's exact and McNemer tests. RESULTS: One hundred and four patients were enrolled in this study, with a mean age was 58.5 ± 10.9 years; 51.0% were men and 51.0% Caucasian. Nausea and diarrhea were the most frequently reported adverse reactions (82.7% and 62.5%, respectively), followed by vomiting (54.8%), fatigue (54.8%), and hand-foot syndrome (53.9%). Nausea and diarrhea were also the most severe adverse reactions. Most patients were adherent to capecitabine in all cycles of treatment using the Morisky-Green test. Adherence increased significantly between cycle 1 and cycle 2 by MedTake test (p < 0.001). Some demographic and clinical characteristics were associated with adverse reactions (e.g., age and nausea, gender and nausea and vomiting) and capecitabine adherence (e.g., marital status and educational level) as well as some adverse reactions were associated with capecitabine adherence (hand-foot syndrome and nausea). CONCLUSIONS: Clinical oncology pharmacists must provide patient information on the correct use of capecitabine, manage adverse reactions, and monitor adherence to treatment. Strategies to prevent non-adherence to capecitabine must be adopted to ensure the success of pharmacotherapy.


Subject(s)
Gastrointestinal Neoplasms , Nausea , Aged , Capecitabine/adverse effects , Fluorouracil/adverse effects , Humans , Male , Middle Aged , Prospective Studies , Vomiting
2.
BMC Cancer ; 21(1): 575, 2021 May 19.
Article in English | MEDLINE | ID: mdl-34011306

ABSTRACT

BACKGROUND: No biomarker is available for identifying cancer patients at risk of developing nephrotoxicity when treated with cisplatin. METHODS: We performed microRNA (miRNA) sequencing using plasma collected 5 days after cisplatin treatment (D5) from twelve patients with head and neck cancer with and without nephrotoxicity (grade ≥ 2 increased serum creatinine). The most differentially expressed miRNAs between the two groups were selected for quantification at baseline and D5 in a larger cohort of patients. The association between miRNAs and nephrotoxicity was evaluated by calculating the odds ratio (OR) from univariate logistic regression. Receiver operating characteristic curves (ROC) were used to estimate the area under the curve (AUC), sensitivity, and specificity. RESULTS: MiR-3168 (p = 1.98 × 10- 8), miR-4718 (p = 4.24 × 10- 5), and miR-6125 (p = 6.60 × 10- 5) were the most differentially expressed miRNAs and were further quantified in 43, 48, and 53 patients, respectively. The baseline expression of miR-3168 (p = 0.0456, OR = 1.03, 95% CI: 1.00-1.06) and miR-4718 (p = 0.0388, OR = 1.56, 95% CI: 1.03-2.46) were associated with an increased risk of nephrotoxicity, whereas miR-6125 showed a trend (p = 0.0618, OR = 1.73, 95% CI: 0.98-3.29). MiR-4718 showed the highest AUC (0.77, 95% CI: 0.61-0.93) with sensitivity of 66.76 and specificity of 79.49. CONCLUSIONS: We have provided evidence of baseline plasmatic expression of miR-3168, miR-6125, and miR-4718 as potential predictors of cisplatin-induced nephrotoxicity.


Subject(s)
Acute Kidney Injury/epidemiology , Biomarkers, Tumor/metabolism , Cisplatin/adverse effects , Head and Neck Neoplasms/therapy , MicroRNAs/metabolism , Squamous Cell Carcinoma of Head and Neck/therapy , Acute Kidney Injury/blood , Acute Kidney Injury/chemically induced , Acute Kidney Injury/genetics , Aged , Biomarkers, Tumor/blood , Case-Control Studies , Chemoradiotherapy/adverse effects , Chemoradiotherapy/methods , Creatinine/blood , Female , Gene Expression Profiling , Genetic Predisposition to Disease , Head and Neck Neoplasms/blood , Head and Neck Neoplasms/genetics , Humans , Male , MicroRNAs/blood , Middle Aged , ROC Curve , Risk Assessment/methods , Risk Assessment/statistics & numerical data , Sequence Analysis, RNA , Squamous Cell Carcinoma of Head and Neck/blood , Squamous Cell Carcinoma of Head and Neck/genetics
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