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RESEARCH PRODUCT
Prognostic factors in advanced ovarian cancer
Andrés Cervantessubject
OncologyPrognostic variablemedicine.medical_specialtyPerformance statusbiologybusiness.industryObstetrics and GynecologyDiseasemedicine.diseaseDebulkingMetastasis Suppressor GeneOncologyInternal medicineImmunologybiology.proteinMedicineEpidermal growth factor receptorStage (cooking)businessOvarian cancerdescription
In this review, different factors with suspected effect on survival of patients with advanced ovarian cancer are analysed. The volume of residual disease after surgical debulking is one of the most important factors predicting outcome. However, the extent of cytoreduction may not be the only ‘responsible’ factor indicating a better prognosis; the underlying biology of those debulkable tumors may also play a role in defining the more favorable outcome. Seven reports have studied different prognostic factors by multivariate analysis: performance status, stage, age, grade, histology, tumor size, residual tumor, type of chemotherapy given, and ploidy status are the most common analysed parameters. A meta-analysis indicated that treatment with cisplatin and disease stage are the only independent prognostic variables. Some investigators have developed prognostic indexes with good predictive power, incorporating objective prognostic variables. This approach may be more useful than applying individual factors to each patient. The absolute titer of carbohydrate antigen 125, its decline after several courses of chemotherapy, or its half-life have been correlated with prognosis in some instances, but low sensitivity may be a problem. Other biologic factors with some prognostic potential in ovarian cancer are the expression of lung-resistance protein and the over-expression of c-erbB-2, both perhaps related to resistance to chemotherapy, the product of the metastasis suppressor gene nm23, the epidermal growth factor receptor, heat shock proteins (HSP-60), and plasma or ascites levels of macrophage colony-stimulating factor. Most of these predictors were explored in selected and often small series of patients, and their roles should be confirmed in well-designed confirmatory trials.
year | journal | country | edition | language |
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1997-05-01 | International Journal of Gynecological Cancer |