5 research outputs found

    Cyclo-oxygenase-2 (Cox-2) expression and resistance to platinum versus platinum/paclitaxel containing chemotherapy in advanced ovarian cancer

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    BACKGROUND: Cyclo-oxygenase-2 (COX-2), the key enzyme in the conversion of arachidonic acid to prostaglandins, is involved in critical steps of tumor onset and progression, and is a strong predictor of chemotherapy resistance and poor outcome in advanced ovarian cancer. To our knowledge, no data has been reported until now about the association between COX-2 status and response to different chemotherapy regimens. METHODS: A retrospective study was performed to investigate the association of COX-2 with outcome and response to platinum versus platinum/paclitaxel in 68 primary ovarian cancer. COX-2 immunoreaction was performed on paraffin-embedded sections by using rabbit polyclonal antiserum against COX-2. RESULTS: In the overall series, COX-2 positivity was found in a statistically significant higher percentage of not responding cases than in patients responding to chemotherapy (n = 15/21; 71.4% versus n = 17/47; 36.1%; p value = 0.0072). A higher percentage of COX-2 positivity was found in patients unresponsive (n = 11/13; 84.6%) versus patients responsive to platinum-based chemotherapy (n = 9/26; 34.6%). In cases administered platinum/paclitaxel, COX-2 positivity was found in 4 out of 8 (50%) of un responsive versus 8 out of 21 (38.1%) of responsive cases. Logistic regression analysis of parameters likely to affect response to treatment resulted in a p value = 0.17 for the interaction COX-2/type of treatment. CONCLUSION: Although these findings need to be confirmed in a larger series, our study suggests a possible indication that there is a difference in the influence of COX-2 on response depending on treatment regimen

    Role of comorbidities in locally advanced cervical cancer patients administered preoperative chemoradiation: Impact on outcome and treatment-related complications.

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    AIMS: The study aimed at describing the prevalence, and pattern of comorbidities, as well as their clinical role in a large series of locally advanced cervical cancer (LACC) patients triaged to preoperative chemoradiation. METHODS: The Charlson index (CCI), and the ACE27 index were used to retrospectively evaluate comorbidities in 258 LACC patients: life tables were computed by the Kaplan-Meier method; multivariate analysis was performed by Cox's regression model. RESULTS: A CCI score = 0 was documented in 225 patients (87.2%), while 24 patients (9.3%) had a CCI score = 1, and only 9 patients (3.5%) had a CCI score 65 2. An ACE27 score = 0 was documented in 170 patients (65.9%), and was 1 in 59 patients (22.8%), 2 in 24 patients (9.3%) and 3 in 5 patients (2%). There was no association between the presence of comorbidities and clinico-pathological variables with the exception of a direct association with older age. There was no difference in the distribution of comorbid cases according to the extent of hysterectomy and lymphadenectomy. DFS or OS curves did not differ in patients with or without comorbidities according to both indexes. No difference in the distribution of patients with comorbidities according to presence of complications was documented. CONCLUSIONS: The role of comorbidities in the decision-making process relative to the enrollment of LACC patients into this trimodal therapeutic strategy needs to be established in specifically designed prospective trial

    Should laparoscopy be included in the work-up of advanced ovarian cancer patients attempting interval debulking surgery?

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    Primary: To investigate whether S-LPS could contribute to a better identification of patients to submit to IDS. Secondary: To identify the most appropriate level of laparoscopic index value (PIV) to identify inoperable patients in this subset of patients

    Role of CT scan-based and clinical evaluation in the preoperative prediction of optimal cytoreduction in advanced ovarian cancer: a prospective trial

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    In advanced ovarian cancer, maximal efforts have to be attemptedto achieve optimal cytoreduction, as this represents the keystone in the therapeutic management. This large, prospective study aims at investigating the role of computed tomography (CT) scan in predicting the feasibility of optimal cytoreduction in ovarian cancer
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