4.6 Article

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

期刊

GYNECOLOGIC ONCOLOGY
卷 116, 期 1, 页码 50-56

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ygyno.2009.09.029

关键词

Ovary; Cancer; Prognosis; Stage; Type; Low risk

资金

  1. Eli Lilly Canada
  2. National Cancer Institute of Canada [017051]
  3. sanofi aventis
  4. Michael Smith Foundation for Health Research [INRUA005045]

向作者/读者索取更多资源

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 la 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. (C) 2009 Elsevier Inc, All rights reserved.

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