Literature DB >> 2654332

Predictability of the survival of patients with advanced ovarian cancer.

J C van Houwelingen1, W W ten Bokkel Huinink, M E van der Burg, A T van Oosterom, J P Neijt.   

Abstract

Based on material from two clinical trials performed by The Netherlands Joint Study Group for Ovarian Cancer, we constructed a prognostic index (PI) with considerable predictive power for long-term survival of patients treated with cytotoxic combination chemotherapy including cisplatin. The pretreatment characteristics needed for the calculation of the PI are the Karnofsky index, the site of metastases expressed as the International Federation of Gynecology and Obstetrics (FIGO) stage, the size of residual tumor, the Broders' grade, and the presence of ascites. In the subgroup comprising the 10% of the patients with the best prognosis, 4-year survival was 75%, whereas all of the patients in the subgroup comprising the 10% with the poorest prognosis died within 4 years, which illustrates the large variability of the prognosis among patients. The PI was found to retain its value after response was achieved. The information provided by the PI can be expected to be useful in treatment planning and for proper stratification of patients in clinical trials.

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Year:  1989        PMID: 2654332     DOI: 10.1200/JCO.1989.7.6.769

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  13 in total

1.  Identification of responders to a therapy: an example of validation of a predictive model.

Authors:  W Li; J P Boissel; M Cucherat; F Gueyffier; F Boutitie
Journal:  Eur J Epidemiol       Date:  1999-07       Impact factor: 8.082

2.  Value of quantitative pathological variables as prognostic factors in advanced ovarian carcinoma.

Authors:  M Brinkhuis; J P Baak; G A Meijer; P J van Diest; O Mogensen; P Bichel; J P Neijt
Journal:  J Clin Pathol       Date:  1996-02       Impact factor: 3.411

Review 3.  Pharmacoeconomic considerations in treating ovarian cancer.

Authors:  D Bodurka-Bevers; C C Sun; D M Gershenson
Journal:  Pharmacoeconomics       Date:  2000-02       Impact factor: 4.981

4.  In vivo spectral fluorescence imaging of submillimeter peritoneal cancer implants using a lectin-targeted optical agent.

Authors:  Yukihiro Hama; Yasuteru Urano; Yoshinori Koyama; Mako Kamiya; Marcelino Bernardo; Ronald S Paik; Murali C Krishna; Peter L Choyke; Hisataka Kobayashi
Journal:  Neoplasia       Date:  2006-07       Impact factor: 5.715

5.  Does Aquaporin-1 expression have clinical significance in serous epithelial ovarian cancer?

Authors:  Mustafa Kemal Takal; Cem Baykal; Eralp Başer; Mustafa Derda Kaya; Polat Dursun; Ozlem Ozen; Asuman Nihan Haberal; Ali Ayhan
Journal:  J Turk Ger Gynecol Assoc       Date:  2013-09-01

6.  Ovarian cancer patients at high risk of BRCA mutation: the constitutional genetic characterization does not change prognosis.

Authors:  Renaud Sabatier; Elise Lavit; Jessica Moretta; Eric Lambaudie; Tetsuro Noguchi; François Eisinger; Elisabeth Cherau; Magali Provansal; Doriane Livon; Laetitia Rabayrol; Cornel Popovici; Emmanuelle Charaffe-Jauffret; Hagay Sobol; Patrice Viens
Journal:  Fam Cancer       Date:  2016-10       Impact factor: 2.375

7.  A prognostic model for ovarian cancer.

Authors:  T G Clark; M E Stewart; D G Altman; H Gabra; J F Smyth
Journal:  Br J Cancer       Date:  2001-09-28       Impact factor: 7.640

8.  Long-term follow-up of patients with advanced ovarian cancer treated in randomised clinical trials.

Authors:  J Warwick; S Kehoe; H Earl; D Luesley; C Redman; K K Chan
Journal:  Br J Cancer       Date:  1995-12       Impact factor: 7.640

9.  Prognostic impact of chromosome aberrations in ovarian cancer.

Authors:  T Pejovic; A Himmelmann; S Heim; N Mandahl; U M Flodérus; S Furgyik; B Elmfors; G Helm; H Willén; F Mitelman
Journal:  Br J Cancer       Date:  1992-02       Impact factor: 7.640

10.  Risk prediction model for epithelial ovarian cancer using molecular markers and clinical characteristics.

Authors:  Meiying Zhang; Guanglei Zhuang; Xiangjun Sun; Yanying Shen; Aimin Zhao; Wen Di
Journal:  J Ovarian Res       Date:  2015-10-21       Impact factor: 4.234

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