Literature DB >> 24718516

The role of the PTEN/PI3K/Akt pathway on prognosis in epithelial ovarian cancer: a meta-analysis.

Jing Cai1, Linjuan Xu, Huijuan Tang, Qiang Yang, Xiaoqing Yi, Yan Fang, Ying Zhu, Zehua Wang.   

Abstract

The PTEN/PI3K/Akt signaling pathway, a key player in mediating apoptosis, metabolism, cell proliferation, and cell growth, is frequently dysregulated in many cancers. However, the pathway's prognostic impact in epithelial ovarian cancer (EOC) is still inconsistent. We performed a meta-analysis based on individual study outcomes to more precisely evaluate its clinical significance in EOC patients. Methods. We searched all potentially relevant studies published between January 1, 1990, and March 1, 2013, that assessed the association between PTEN, PI3K, and Akt status and survival in EOC. Meta-analysis was performed using a fixed-effect or random-effects model as appropriate. We investigated the possibility of publication bias through a funnel plot and identified the heterogeneity by I(2) statistics. Results. Eleven eligible studies were analyzed for PTEN, 5 for PI3K, and 11 for pAkt. High PI3K and pAkt expression was associated with poor overall survival (OS; pooled adjusted hazard ratio [HR] = 1.44, 95% CI, 1.08-1.91 for PI3K; HR = 1.60, 95% CI, 1.26-2.04 for pAkt). In addition, both the meta-analyses of univariate and multivariate estimates showed that only high pAkt expression was significantly associated with poor progression-free survival (PFS; pooled unadjusted HR = 1.24, 95% CI, 1.10-1.39; pooled adjusted HR = 1.65, 95% CI, 1.07-2.55). Conclusion. Published studies suggest that high pAkt expression is significantly associated with poor OS and PFS in EOC patients, but currently available evidence is insufficient to recommend that PTEN, PI3K, or Akt be used as prognostic predictors in EOC in clinical practice.

Entities:  

Keywords:  Epithelial ovarian cancer; Meta-analysis; Overall survival; PTEN/PI3K/Akt; Progression-free survival

Mesh:

Substances:

Year:  2014        PMID: 24718516      PMCID: PMC4012960          DOI: 10.1634/theoncologist.2013-0333

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  46 in total

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Authors:  I K Kolasa; A Rembiszewska; A Janiec-Jankowska; A Dansonka-Mieszkowska; A M Lewandowska; B Konopka; J Kupryjańczyk
Journal:  Gynecol Oncol       Date:  2006-06-21       Impact factor: 5.482

3.  Akt activation by growth factors is a multiple-step process: the role of the PH domain.

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5.  Clinicopathologic and biological analysis of PIK3CA mutation in ovarian clear cell carcinoma.

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Journal:  Hum Pathol       Date:  2012-06-15       Impact factor: 3.466

6.  Expression of PTEN in ovarian epithelial tumors and its relation to tumor behavior and growth.

Authors:  Ji Shin Lee; Yoo Duk Choi; Chan Choi; Min Cheol Lee; Chang Soo Park; Kyung Whan Min
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Authors:  Iwona K Kolasa; Alina Rembiszewska; Anna Felisiak; Izabela Ziolkowska-Seta; Magdalena Murawska; Joanna Moes; Agnieszka Timorek; Agnieszka Dansonka-Mieszkowska; Jolanta Kupryjanczyk
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10.  Microarray-based oncogenic pathway profiling in advanced serous papillary ovarian carcinoma.

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Journal:  PLoS One       Date:  2011-07-25       Impact factor: 3.240

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2.  Integration and bioinformatics analysis of DNA-methylated genes associated with drug resistance in ovarian cancer.

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3.  PTEN genomic deletion defines favorable prognostic biomarkers in localized prostate cancer: a systematic review and meta-analysis.

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4.  BCL2L1 is identified as a target of naringenin in regulating ovarian cancer progression.

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5.  Germline and Somatic Tumor Testing in Epithelial Ovarian Cancer: ASCO Guideline.

Authors:  Panagiotis A Konstantinopoulos; Barbara Norquist; Christina Lacchetti; Deborah Armstrong; Rachel N Grisham; Paul J Goodfellow; Elise C Kohn; Douglas A Levine; Joyce F Liu; Karen H Lu; Dorinda Sparacio; Christina M Annunziata
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6.  LinkedOmics: analyzing multi-omics data within and across 32 cancer types.

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7.  A Bayesian adaptive design for biomarker trials with linked treatments.

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8.  Estimation of Prognostic Marker Genes by Public Microarray Data in Patients with Ovarian Serous Cystadenocarcinoma.

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Review 9.  PTEN expression is a prognostic marker for patients with non-small cell lung cancer: a systematic review and meta-analysis of the literature.

Authors:  Jian Xiao; Cheng-Ping Hu; Bi-Xiu He; Xi Chen; Xiao-Xiao Lu; Ming-Xuan Xie; Wei Li; Shu-Ya He; Shao-Jin You; Qiong Chen
Journal:  Oncotarget       Date:  2016-09-06

10.  PTEN and AKT1 Variations in Childhood T-Cell Acute Lymphoblastic Leukemia

Authors:  Fulya Küçükcankurt; Yücel Erbilgin; Sinem Fırtına; Özden Hatırnaz Ng; Zeynep Karakaş; Tiraje Celkan; Ayşegül Ünüvar; Uğur Özbek; Müge Sayitoğlu
Journal:  Turk J Haematol       Date:  2019-11-20       Impact factor: 1.831

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