Details

Autor(en) / Beteiligte

• Köbel, Martin
• Kalloger, Steve E
• Santos, Jennifer L
• Huntsman, David G
• Gilks, C. Blake
• Swenerton, Kenneth D

Titel

Tumor type and substage predict survival in stage I and II ovarian carcinoma: Insights and implications

Ist Teil von

• Gynecologic oncology, 2010-01, Vol.116 (1), p.50-56

Ort / Verlag

United States: Elsevier Inc

Erscheinungsjahr

2010

Quelle

MEDLINE

Beschreibungen/Notizen

• Abstract Objective An ability to predict survival is of crucial importance in determining the need for cancer therapy. Recent advances in tumor typing of ovarian carcinomas lead to a classification which is more reproducible and reflects underlying biology more accurately than grade. We tested whether updated tumor type predicts outcome for patients with low-stage ovarian carcinoma. Methods From a population-based cohort of 1326 women diagnosed with stage I–II ovarian carcinoma between 1984 and 2003, 652 cases were available for central pathological slide review using contemporary criteria. Six hundred thirty cases were confirmed as ovarian carcinoma. Twenty-five ovarian carcinomas of rare types were excluded leaving 605 cases for this study. Recursive partitioning analysis and univariate models were used to identify subsets with an excellent outcome, i.e., disease-specific survival at 10 years (DSS10y) ≥ 95%. Results Seventy-seven ovarian carcinomas of endometrioid and mucinous type, stage Ia or Ib, were associated with an excellent outcome [DSS10y = 95%]. No subset of the high-grade serous type with an excellent outcome could be identified. Clear cell carcinomas of stage Ia or Ib had a favorable outcome [DSS10y = 87%] compared to stage Ic–II [DSS10y = 66%]. Conclusions A subset of ovarian carcinoma patients with an excellent outcome can be identified based on tumor type (endometrioid or mucinous) and stage (Ia or Ib). Type is more reproducibly assigned than grade and identifies a larger cohort of women with stage I/II ovarian carcinoma with favorable outcomes (12.2% vs. 6.5%), and therefore is superior to grade in estimating risk of death from ovarian carcinoma.