Literature DB >> 18283637

Decreased expression of p16 in ovarian cancers represents an unfavourable prognostic factor.

Pawel Surowiak1, Verena Materna, Adam Maciejczyk, Marek Pudelko, Slawomir Suchocki, Witold Kedzia, Ewa Nowak-Markwitz, Malgorzata Dumanska, Marek Spaczynski, Maciej Zabel, Manfred Dietel, Hermann Lage.   

Abstract

Decreased expression of p16 may result from hypermethylation of the promoter or from deletion of the gene. It can lead to intensified proliferation of neoplastic cells and to cytostatic drug resistance. The study was aimed at the examination of prognostic value of p16 expression in relation to Ki67 and caspase-3 in ovarian cancers using immunohistochemistry. The immunohistochemical studies were performed on 73 paraffin-embedded samples of ovarian cancers from 43 patients and samples from 6 healthy ovaries. We have used monoclonal antibodies against p16. ABC method and DAB were used for antigens visualisation. The intensity of the immunohistochemical reactions was appraised using the semi-quantitative IRS scale. In healthy ovaries we have shown strong reaction in the nuclei of surface epithelium. In the case of studied ovarian cancers, the reaction of a nuclear and cytoplasmic localization was obtained. The mean overall immunoreactivity score of nuclear p16 expression amounted to 5.30+/-3.44 SD in primary laparotomy material and 6.61+/-4.34 SD in secondary cytoreduction material. Statistical analysis demonstrated that lower p16 expression was typical of the younger patients and the patients who died. Kaplan-Meier's analysis proved that lower expression of p16 was characteristic of cases with shorter overall survival. In the present study we have demonstrated that lowered p16 expression represented an unfavourable prognostic index in ovarian cancer. Lowered p16 expression was also typical for chemotherapy-resistant ceases (cases of lower caspase-3 and higher Ki67 at secondary cytoreduction expression).

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Year:  2008        PMID: 18283637     DOI: 10.14670/HH-23.531

Source DB:  PubMed          Journal:  Histol Histopathol        ISSN: 0213-3911            Impact factor:   2.303


  7 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.  Methylation status of WWOX gene promoter CpG islands in epithelial ovarian cancer and its clinical significance.

Authors:  Hongchao Yan; Jieyun Sun
Journal:  Biomed Rep       Date:  2013-03-22

3.  Expression of the tumor suppressor gene p16, and lymph node metastasis in patients with ovarian cancer.

Authors:  Hongyan Wang; Jingfang Zheng; Qiang Li; Min Zhou; Dongmei Ai; Hui Zhang
Journal:  Oncol Lett       Date:  2017-08-08       Impact factor: 2.967

4.  Prognostic impact of p16 and p53 gene expressions in stage 1a epithelial ovarian cancer.

Authors:  Emre Günakan; Yusuf Aytaç Tohma; Latife Atasoy Karakaş; Hüseyin Akıllı; Asuman Nihan Haberal; Ali Ayhan
Journal:  Obstet Gynecol Sci       Date:  2020-06-19

5.  The CO-Regulation Database (CORD): a tool to identify coordinately expressed genes.

Authors:  John P Fahrenbach; Jorge Andrade; Elizabeth M McNally
Journal:  PLoS One       Date:  2014-03-05       Impact factor: 3.240

6.  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

7.  Knockdown of platinum-induced growth differentiation factor 15 abrogates p27-mediated tumor growth delay in the chemoresistant ovarian cancer model A2780cis.

Authors:  Julia C Meier; Bernard Haendler; Henrik Seidel; Philip Groth; Robert Adams; Karl Ziegelbauer; Bertolt Kreft; Georg Beckmann; Anette Sommer; Charlotte Kopitz
Journal:  Cancer Med       Date:  2014-12-10       Impact factor: 4.452

  7 in total

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