Literature DB >> 24627004

Ki-67 as an independent prognostic factor in an unselected cohort of patients with ovarian cancer: results of an explorative, retrospective study.

Marco Johannes Battista1, Nina Mantai1, Isabel Sicking1, Cristina Cotarelo2, Veronika Weyer3, Antje Lebrecht1, Christine Solbach1, Marcus Schmidt1.   

Abstract

The identification of prognostic markers has clinical implications in epithelial ovarian carcinoma (EOC). Here, we studied markers for proliferation (Ki-67), endocrine regulation [progesterone receptor (PR), estrogen receptor (ER)], and invasion [urokinase-type plasminogen activator (uPA) and plasminogen activator inhibitor (PAI-1)]. All patients with available follow-up information and EOC tissue, who were treated at our institution between 1997 and 2004, were enrolled in the present study. Expression of Ki-67, PR and ER was determined by immunohistochemical analyses. uPA and PAI-1 antigen levels were determined using enzyme‑linked immunosorbent assays. One hundred and eight patients entered the present study. The median follow-up time was 43.3 (range 11.4-68.0) months. In multivariable Cox regression analyses, Ki-67 expression showed an independent negative impact on disease-free survival (DFS) and overall survival (OS) [hazard ratio (HR) for DFS, 11.5; 95% confidence interval (CI), 2.64-49.7; p=0.001 and HR for OS, 21.2; 95% CI, 9.9-113.1; p<0.001]. After cut-off optimization, PR expression showed an independent positive impact on prognosis (HR for DFS, 0.15; 95% CI, 0.03-0.68; p=0.014 and HR for OS, 0.13; 95% CI, 0.03‑0.68; p=0.016). Furthermore, postoperative residual tumor burden and completeness of chemotherapy determined the prognosis. ER, uPA and PAI-1 were not associated with survival. PR and ER, and postoperative residual tumor burden and tumor stage showed a strong correlation in an explorative Spearman's rank correlation coefficient (rho=0.759 and rho=0.426, respectively). Ki-67 and cut-off optimized PR are independently associated with the prognosis of EOC. Further prospective studies are warranted to confirm these associations and to elucidate the underlying mechanisms.

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Year:  2014        PMID: 24627004     DOI: 10.3892/or.2014.3079

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  12 in total

1.  Estrogen Receptors alpha and beta in Ovarian Cancer: Expression Level and Prognosis.

Authors:  T A Bogush; A A Basharina; E A Bogush; O M Ryabinina; A S Tjulandina; S A Tjulandin
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2.  c-met is overexpressed in type I ovarian cancer: Results of an investigative analysis in a cohort of consecutive ovarian cancer patients.

Authors:  Marco Johannes Battista; Marcus Schmidt; Sina Jakobi; Cristina Cotarelo; Katrin Almstedt; Anne-Sophie Heimes; Georgios-Marios Makris; Veronika Weyer; Antje Lebrecht; Gerald Hoffmann; Michael Eichbaum
Journal:  Oncol Lett       Date:  2016-07-21       Impact factor: 2.967

3.  Impact of estrogen receptor expression on prognosis of ovarian cancer according to antibody clone used for immunohistochemistry: a meta-analysis.

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Journal:  J Ovarian Res       Date:  2022-05-24       Impact factor: 5.506

4.  The expression and clinical significance of ERβ/ERα in ovarian cancer: can we predict the effectiveness of platinum plus taxane therapy?

Authors:  Tatiana A Bogush; Anna A Basharina; Elena A Bogush; Alexander M Scherbakov; Mikhail M Davydov; Vyacheslav S Kosorukov
Journal:  Ir J Med Sci       Date:  2021-11-06       Impact factor: 2.089

5.  Feasibility of induced metabolic bioluminescence imaging in advanced ovarian cancer patients: first results of a pilot study.

Authors:  Marco Johannes Battista; Kristina Goetze; Marcus Schmidt; Cristina Cotarelo; Veronika Weyer-Elberich; Annette Hasenburg; Wolfgang Mueller-Klieser; Stefan Walenta
Journal:  J Cancer Res Clin Oncol       Date:  2016-06-24       Impact factor: 4.553

6.  Overexpression of epithelial cell adhesion molecule protein is associated with favorable prognosis in an unselected cohort of ovarian cancer patients.

Authors:  Marco Johannes Battista; Cristina Cotarelo; Sina Jakobi; Joscha Steetskamp; Georgios Makris; Isabel Sicking; Veronika Weyer; Marcus Schmidt
Journal:  J Cancer Res Clin Oncol       Date:  2014-04-13       Impact factor: 4.553

7.  Cyclin Y regulates the proliferation, migration, and invasion of ovarian cancer cells via Wnt signaling pathway.

Authors:  Haiyuan Liu; Honghui Shi; Qingbo Fan; Xiangxiu Sun
Journal:  Tumour Biol       Date:  2016-01-29

8.  DNA topoisomerase IIα and Ki67 are prognostic factors in patients with hepatocellular carcinoma.

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Journal:  Oncol Lett       Date:  2017-04-06       Impact factor: 2.967

Review 9.  Prognostic value of progesterone receptor expression in ovarian cancer: a meta-analysis.

Authors:  Hui Luo; Saisai Li; Menghuang Zhao; Bo Sheng; Haiyan Zhu; Xueqiong Zhu
Journal:  Oncotarget       Date:  2017-05-30

10.  Characterization of stem cell and cancer stem cell populations in ovary and ovarian tumors.

Authors:  Seema C Parte; Surinder K Batra; Sham S Kakar
Journal:  J Ovarian Res       Date:  2018-08-18       Impact factor: 4.234

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