Abstract | BACKGROUND: OBJECTIVE: The goal of this study was to determine the lipocalin-2 levels in patients with endometrial cancer compared to those with normal endometrium or mild endometrial pathologies. METHODS: Study included 123 patients with BMI > 21 kg/m2 who were admitted due to abnormal bleeding, in which 52 patients with endometrial cancer. The NGAL, CA125, HE4 serum levels were determined for all patients. RESULTS: Significantly lower median NGAL serum levels were found in a group of patients with normal endometrium compared to the endometrial cancer group, p= 0.006. NGAL protein area under ROC curves value as a diagnostic test, differentiating between endometrial cancer and other benign changes endometrium is AUC - 0.81 (p< 0.00001). The NGAL protein had a high sensitivity in all patients included in the analysis: 84% vs. 82% in pre-menopausal patients, and 81% in postmenopausal women with a specificity of 78%, 80% and 87%, respectively. The independent variable for FIGO and model logistic regression proves that NGAL is statistically significant (p= 0.000602), the odds ratio is 3.66. The model for grading shows, that NGAL increase by one ng/ml increases risk chances by 2.32 times in diagnosis with less cancer differentiation. CONCLUSIONS: Our preliminary studies demonstrate that lipocalin-2 may be of value in the diagnostics of uterine body cancers.
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Authors | Aneta Cymbaluk-Płoska, Anita Chudecka-Głaz, Ewa Pius-Sadowska, Bogusław Machaliński, Agnieszka Sompolska-Rzechuła, Sebastian Kwiatkowski, Janusz Menkiszak |
Journal | Cancer biomarkers : section A of Disease markers
(Cancer Biomark)
Vol. 24
Issue 3
Pg. 315-324
( 2019)
ISSN: 1875-8592 [Electronic] Netherlands |
PMID | 30829613
(Publication Type: Journal Article)
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Chemical References |
- Biomarkers
- Biomarkers, Tumor
- LCN2 protein, human
- Lipocalin-2
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Topics |
- Adult
- Aged
- Biomarkers
- Biomarkers, Tumor
- Diagnosis, Differential
- Endometrial Neoplasms
(blood, diagnosis)
- Female
- Humans
- Lipocalin-2
(blood)
- Middle Aged
- Neoplasm Grading
- Neoplasm Staging
- Prognosis
- ROC Curve
- Sensitivity and Specificity
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