Chemotherapy substantially deteriorates the neurologic condition of the patients and the quality of life. Paclitaxel and carboplatin treated patients may benefit from gabapentin therapy in chemotherapy-induced peripheral neuropathy.
Objectives: High grade serous ovarian cancer (HGSC) is the most common type of ovarian cancer and is responsible for about 90% of ovarian cancer deaths. The diagnostic tests currently used do not increase the detection rates for ovarian cancer. There is a great necessity to develop new and non-invasive diagnostic tests for ovarian cancer (OC). Cervico-vaginal fluid (CVF) seems to be a potential and valuable source of biomarkers for genital tract diseases including ovarian cancer. The aim of our pilot study was to undertake a preliminary proteomic analysis of CVF derived from ovarian cancer patients and to compare these with results from a control group. Material and methods: We analysed and compared samples from a group of ovarian cancer patients and a control group of healthy patients. The study used MALDI-TOF coupled with nanoLC and ClinProTools software for MS, MS/MS spectra collection and proteomic analysis. results: We identified 404 different proteins in the OC group and 417 proteins in the control group. 239 of the proteins were found to be common to both study groups, 165 proteins were unique to the OC subjects, and 178 proteins were unique to the control subjects. We selected three proteins as the OC markers with the greatest potential: cysteine-rich secretory protein 3, fibronectin and Ly6/PLAUR domain-containing protein 3. Conclusions: The proteins we selected seem to possess great potential as markers for the screening and early detection of OC, especially in non-invasive and low-cost diagnostic tests. However, our findings require more advanced and validated proteomic analysis to confirm the suitability of the selected proteins in everyday medical diagnoses.
Introduction: Ovarian cancer (OC) diagnosis remains a clinical challenge due to lack of early symptoms and insufficient accuracy of the available diagnostic methods. The purpose of this study was to determine whether osteopontin could be useful in differential diagnosis of ovarian tumors. Material and methods: Serum samples from 92 patients qualified for surgical treatment due to ovarian mass were divided into 2 groups according to the histopathological result: OC including borderline ovarian tumors (n = 39) and benign ovarian tumors (BOTs) (n = 53). CA125, HE4 and osteopontin concentrations were measured in all patients. Areas under the receiver operating characteristic curves (AUC of ROC) were used to compare the discriminative ability of the univariate and multivariate diagnostic models. Results: The addition of osteopontin to ROMA significantly improved the diagnostic performance of the test in 3 of the 5 analyses: 1) in the OC vs BOT group (from AUC of 0.955 to 0.975), 2) in premenopausal women OC vs BOT (from AUC of 0.828 to 0.892) and 3) in the FIGO I-II stage OC vs BOT (from AUC of 0.865 to 0.895). It did not alter the diagnostic performance of multifactor tests in the group of postmenopausal women nor in OC FIGO III-IV stage group. Osteopontin was also the best single marker to differentiate between early stage OC and BOTs (AUC of 0.863). Conclusions: Osteopontin improves the diagnostic performance of a multimarker OC diagnostic test and could be useful in differential diagnosis of ovarian tumors, especially in pre-menopausal women and for early stage OC.
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