Literature DB >> 26193797

Upregulation of Abelson interactor protein 1 predicts tumor progression and poor outcome in epithelial ovarian cancer.

Jing Zhang1, Liangdan Tang2, Yanlin Chen3, Zhaoning Duan2, Lin Xiao2, Wenwen Li3, Xiaohan Liu2, Liyuan Shen2.   

Abstract

Abelson interactor protein 1 (Abi1) is a key regulator of actin reorganization and lamellipodia formation. Because of its role in cell migration, Abi1 has been implicated in tumor progression. In the present study, we investigated the role of Abi1 in epithelial ovarian cancer (EOC) by analyzing its expression and correlation with clinicopathological and survival data. We evaluated the expression of Abi1 in 223 paraffin-embedded EOC specimens by immunohistochemistry and 46 frozen EOC samples by Western blot and real-time reverse transcription polymerase chain reaction analysis. Results showed that Abi1 protein and mRNA expression was significantly higher in EOC tissue compared with noncancerous tumors and normal ovaries (P < .05). Moreover, high level of Abi1 expression was significantly correlated with advanced stage, high grade, elevated Ca-125 level, and suboptimal surgical debulking (P < .05). By Western blot analysis, Abi1 was expressed in highly invasive cells compared with weakly invasive cells (P < .05). Immunofluorescence was performed to demonstrate Abi1 expression in SKOV3 cells. Additionally, upregulation of Abi1 significantly correlated with shorter survival (P < .05). Most importantly, multivariate analysis showed that Abi1 overexpression is an independent prognostic factor, complementary to clinical stage and residual tumor size. In conclusion, our findings suggest that Abi1 acts as a tumor-promoting gene in EOC progression, which may lead to unfavorable prognosis. Abi1 may serve as a potential effective prognostic marker for EOC.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Abelson interactor protein 1; Invasion; Ovarian cancer; Prognosis; Progression

Mesh:

Substances:

Year:  2015        PMID: 26193797     DOI: 10.1016/j.humpath.2015.05.015

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  6 in total

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Journal:  Sci Rep       Date:  2021-05-24       Impact factor: 4.379

2.  ABI1-based expression signature predicts breast cancer metastasis and survival.

Authors:  Angelina Regua; Csaba Papp; Andre Grageda; Baylee A Porter; Tiffany Caza; Isabelle Bichindaritz; Mira Krendel; Abirami Sivapiragasam; Gennady Bratslavsky; Vladimir A Kuznetsov; Leszek Kotula
Journal:  Mol Oncol       Date:  2022-01-26       Impact factor: 7.449

3.  SNCG promotes the progression and metastasis of high-grade serous ovarian cancer via targeting the PI3K/AKT signaling pathway.

Authors:  Jing Zhang; Xiao-Han Liu; Cong Li; Xiao-Xing Wu; Yan-Lin Chen; Wen-Wen Li; Xian Li; Fan Gong; Qin Tang; Dan Jiang
Journal:  J Exp Clin Cancer Res       Date:  2020-05-07

4.  Construction of Two Alternative Polyadenylation Signatures to Predict the Prognosis of Sarcoma Patients.

Authors:  Chuan Hu; Chuan Liu; Jianyi Li; Tengbo Yu; Jun Dong; Bo Chen; Yukun Du; Xiaojie Tang; Yongming Xi
Journal:  Front Cell Dev Biol       Date:  2021-06-14

5.  A high-density genetic map and growth related QTL mapping in bighead carp (Hypophthalmichthys nobilis).

Authors:  Beide Fu; Haiyang Liu; Xiaomu Yu; Jingou Tong
Journal:  Sci Rep       Date:  2016-06-27       Impact factor: 4.379

6.  MechRNA: prediction of lncRNA mechanisms from RNA-RNA and RNA-protein interactions.

Authors:  Alexander R Gawronski; Michael Uhl; Yajia Zhang; Yen-Yi Lin; Yashar S Niknafs; Varune R Ramnarine; Rohit Malik; Felix Feng; Arul M Chinnaiyan; Colin C Collins; S Cenk Sahinalp; Rolf Backofen
Journal:  Bioinformatics       Date:  2018-09-15       Impact factor: 6.937

  6 in total

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