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1.
BMC cancer ; 21(1): 575-678, May., 2021. ilus, graf, tab
Article in English | Sec. Est. Saúde SP, CONASS, SESSP-IDPCPROD, Sec. Est. Saúde SP | ID: biblio-1224518

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: 1.00­1.06) 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: 0.98­3.29). MiR-4718 showed the highest AUC (0.77, 95% CI: 0.61­0.93) 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)
Cisplatin , MicroRNAs , Kidney Diseases , Neoplasms
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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