Literature DB >> 15968197

The impact of c-kit and ki-67 expression on patients prognosis in advanced ovarian serous carcinoma.

Ibrahim Khalifeh1, Adnan R Munkarah, Veronica Schimp, Robert Morris, W Dwayne Lawrence, Rouba Ali-Fehmi.   

Abstract

The transmembrane-tyrosine-kinase receptor, c-kit, is involved in cell differentiation and has been found to be expressed in normal human cell types and solid tumors. This study was designed to investigate the effects of c-kit expression on: 1) tumor proliferation and apoptosis, and 2) survival in patients with high-grade advanced stage ovarian serous carcinoma (OSC). We identified 118 patients with high-grade advanced stage OSC from our files. Clinical data, including demographics and overall survival, were collected. Immunohistochemical panel consisting of c-kit, ki-67, p53, and bcl-2 was performed. C-kit was categorized as positive if any cytoplasmic or membranous staining pattern was identified. Correlation between c-kit expression and the other markers was performed. Survival analysis was performed using COX proportional hazards regression and Kaplan-Meier test. Of 118 cases, 25 (21.2%) expressed c-kit. Of 93 c-kit-negative tumors, 87.1% had a high proliferation index. High p53 and bcl-2 expression was identified in 96 (81.4%) and 59 (50%) cases respectively. No significant statistical correlation was identified between c-kit and apoptosis markers. Tumors lacking c-kit expression showed a trend toward having high proliferation index, but this did not achieve statistical significance (p = 0.07). Of the seven variables included in the multivariate survival analysis, only c-kit (odds ratio, 2.12; 95% confidence interval, 08-4.17; p = 0.02) and ki-67 (odds ratio, 1.9; 95% confidence interval, 1.1-3.1; p = 0.03) showed an independent statistically significant impact on survival. High-grade advanced stage OSC lacking c-kit expression correlates with poor outcome. Interestingly, cases lacking c-kit expression also showed a trend to have high proliferation index.

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Year:  2005        PMID: 15968197     DOI: 10.1097/01.pgp.0000164599.26969.8a

Source DB:  PubMed          Journal:  Int J Gynecol Pathol        ISSN: 0277-1691            Impact factor:   2.762


  4 in total

Review 1.  Prognostic significance of several biomarkers in epithelial ovarian cancer: a meta-analysis of published studies.

Authors:  Linjuan Xu; Jing Cai; Qiang Yang; Hui Ding; Liying Wu; Tao Li; Zehua Wang
Journal:  J Cancer Res Clin Oncol       Date:  2013-04-18       Impact factor: 4.553

2.  A hybrid machine learning-based method for classifying the Cushing's Syndrome with comorbid adrenocortical lesions.

Authors:  Jack Y Yang; Mary Qu Yang; Zuojie Luo; Yan Ma; Jianling Li; Youping Deng; Xudong Huang
Journal:  BMC Genomics       Date:  2008       Impact factor: 3.969

3.  Overexpression of the cancer stem cell marker CD117 predicts poor prognosis in epithelial ovarian cancer patients: evidence from meta-analysis.

Authors:  Bikang Yang; Xuebing Yan; Liguo Liu; Chunyu Jiang; Shuping Hou
Journal:  Onco Targets Ther       Date:  2017-06-13       Impact factor: 4.147

4.  Predictive and prognostic protein biomarkers in epithelial ovarian cancer: recommendation for future studies.

Authors:  Cécile Le Page; David G Huntsman; Diane M Provencher; Anne-Marie Mes-Masson
Journal:  Cancers (Basel)       Date:  2010-05-26       Impact factor: 6.639

  4 in total

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