Monday, November 09, 2009
Gynecol Oncol. 2009 Oct 29
Current state of biomarker development for clinical application in epithelial ovarian cancer.
Moore RG, Maclaughlan S, Bast RC Jr.
Program in Women's Oncology, Department of Obstetrics and Gynecology, Women and Infants' Hospital, Alpert Medical School, Brown University, Providence, RI, USA.
Each year in the United States over 15,000 women die of epithelial ovarian cancer (EOC) and 22,000 are diagnosed with the disease. The incidence of ovarian cancer has remained stable over the past decade however, survival rates have improved steadily. Increases in survival rates can be attributed to the advances in surgical management, development of effective cytotoxic drugs and the route of administration of chemotherapy. Ovarian cancer survival rates could also be improved through screening and early detection. Disappointingly, effective screening methods have not been established and continue to be elusive. Historically the goal of a screening test was to achieve a positive predictive value (PPV) greater than 10% in order be considered cost effective and have an acceptable risk for the population being screened. Despite the inability of currently available screening algorithms to achieve the desired PPV there may be an advantage in producing a stage migration to lower stages at the time of diagnoses, thereby resulting in improved survival. Equally important recent studies have demonstrated that women who have their initial surgery performed by gynecologic oncologists, and women who have their surgeries at centers experienced in the treatment of ovarian cancer have higher survival rates. For these reasons it is essential that all women at high risk for ovarian cancer receive their initial care by gynecologic oncologists and at centers with multidisciplinary teams experienced in the optimal care of ovarian cancer patients. With this in mind, methods that facilitate the accurate triage of women who will ultimately be diagnosed with ovarian cancer could play a significant role in improving survival rates for these patients. This review article will examine the current state of biomarker use in ovarian cancer screening, risk assessment and for monitoring ovarian cancer patients.
Qualitative exploration of healthcare relationships following delayed diagnosis of ovarian cancer and subsequent participation in supportive-expressiv
Qualitative exploration of healthcare relationships following delayed diagnosis of ovarian cancer and subsequent participation in supportive-expressive group therapy
Body mass index as a prognostic factor in epithelial ovarian cancer and correlation with clinico-pathological factors
Conclusion. Overweight and obese patients did not have worse survival than normal weight and underweight patients. The prognostic impact of BMI on survival was only noted for underweight patients with serous tumors.
QUOTE chemo: A patient-centred instrument to measure quality of communication preceding chemotherapy treatment through the patient’s eyes
QUOTE: Odd how the p in patients' is in small caps ??