Early CA-125 fluctuations in patients with recurrent ovarian cancer receiving chemotherapy
ABSTRACT The objective of this study was to analyze retrospective populations with recurrent ovarian cancer to assess differences in CA-125 patterns during chemotherapy. The populations included all patients treated between January 1994 and January 2004, who received liposomal doxorubicin and topotecan, and all patients treated between July 1997 and June 2001, who received carboplatin. Prognostic variables were abstracted from the medical records. Eighty-nine patients received liposomal doxorubicin and topotecan therapy and 21 received carboplatin; of these, 59 (liposomal doxorubicin), 60 (topotecan), and 17 (carboplatin) patients had evaluable CA-125 patterns. Patients given liposomal doxorubicin were more likely to have received only one or two cycles of therapy (37/89 [42%]) than patients receiving either carboplatin (5/21 [24%]) or topotecan (20/89[22%]). In cycle 1, CA-125 increases in patients were carboplatin, 4/17 (24%); liposomal doxorubicin, 41/59 (69%); and topotecan, 11/60 (18%). In cycle 2, CA-125 increases were carboplatin, 2/16 (13%); liposomal doxorubicin, 19/37 (51%); and topotecan, 9/50 (18%). In cycle 3, CA-125 increases were carboplatin, 0/12 (0%); liposomal doxorubicin, 7/23 (30%); and topotecan, 6/38 (16%). Of patients having any CA-125 decrease and given two or more cycles, fewer declines were seen in those given liposomal doxorubicin precycle 2 (18/35[51%]) than in those given carboplatin (13/16[81%]) or topotecan (49/56[88%]). The most prominent delay in CA-125 decline was in patients given liposomal doxorubicin compared with those given topotecan or carboplatin. In the entire population, only 3 of 107 (2.8%) patients demonstrated first CA-125 decline precycle 4. Discontinuation of therapy solely on the basis of early CA-125 increase (precycle 3), particularly with liposomal doxorubicin chemotherapy, may exclude some patients who will benefit from continued therapy.
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ABSTRACT: The aim of the study was to investigate i) the association between the Ca125 based and the RECIST assessed response in recurrent ovarian cancer patients enrolled in a Phase III randomized trial (MITO-3) comparing salvage treatment with pegylated liposomal doxorubicin (PLD) versus gemcitabine (GEM); ii) the correlation between the early modifications of Ca125 levels during treatment and the RECIST assessed response; iii) the prognostic value of response based on Ca125 and the RECIST criteria. Assessment of response was performed by the RECIST and the GCIG criteria. The prognostic impact of the response by the RECIST criteria and the GCIG criteria was analyzed by the landmark method. Overall, of 30 cases defined as responders on the basis of the GCIG criteria, 20 resulted as responders according to the RECIST criteria (NPV=66.7%); conversely, 93.7% of the cases considered not responders based on the GCIG criteria were defined as unresponsive at RECIST evaluation. Early modifications of Ca125 levels were not completely predictive of the ultimate RECIST defined response. Overall survival (OS) was longer in RECIST defined responders versus non responders, although the statistical significance was not reached (p value=0.092); conversely, median OS was significantly longer in GCIG defined responders than in non responding patients (p value=0.0059). In multivariate analysis, the GCIG assessed response maintained its independent association with OS. GCIG criteria for tumor response could replace the conventional assessment of response in the decision making process relative to the discontinuation or prolongation of the salvage treatment in ovarian cancer.Gynecologic Oncology 06/2008; 109(2):187-93. DOI:10.1016/j.ygyno.2008.01.039 · 3.69 Impact Factor
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ABSTRACT: As more effective, less toxic cancer drugs reach patients, the need for accurate and reliable cancer diagnostics and prognostics has become widely appreciated. Nowhere is this need more dire than in ovarian cancer; here most women are diagnosed late in disease progression. The ability to sensitively and specifically predict the presence of early disease and its status, stage, and associated therapeutic efficacy has the potential to revolutionize ovarian cancer detection and treatment. This article reviews current ovarian cancer diagnostics and prognostics and potential biomarkers that are being studied and validated. Some of the most recent molecular approaches being used to identify genes and proteins are presented, which may represent the next generation of ovarian cancer diagnostics and prognostics.Journal of the National Comprehensive Cancer Network: JNCCN 10/2008; 6(8):795-802. · 4.24 Impact Factor