Literature DB >> 26122655

FoxQ1 is a Novel Molecular Target for Pancreatic Cancer and is Associated with Poor Prognosis.

H-X Zhan, J-W Xu, L Wang, D Wu, G-Y Zhang, S-Y Hu1.   

Abstract

FOXQ1 is an oncogene for a variety of tumors and encodes the forkhead boxrelated transcription factor FoxQ1. However, little is known about the role of FoxQ1 in pancreatic cancer (PC). In this study, we examined FoxQ1 expression in PC cell lines and human PC tissues by quantitative PCR and tissue microarray based immunohistochemical staining (IHC), and investigated the clinical correlation between FoxQ1 tissue levels and the clinicopathological characteristics of PC patients. We found that FoxQ1 mRNA expression was up-regulated both in PC cell lines and tumor tissues. IHC results revealed that FoxQ1 was mainly expressed in the cytoplasm, and to a lesser extent in the nucleus of PC cells. FoxQ1 protein levels were significantly higher in PC tissues when compared with matched non-cancerous tissues, and associated positively with the degree of tumor differentiation. Univariate and multivariate survival analysis revealed that patients with high FoxQ1 expression and advanced TNM stage had poor prognosis (HR=1.856, 95%CI 1.065- 3.234, P=0.029; HR=2.091, 95%CI 1.181-3.705, P=0.01). These data indicate that FoxQ1 expression is negatively associated with the overall survival of PC patients, and that this protein may therefore represent a novel molecular target and new prognostic biomarker for PC.

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Year:  2015        PMID: 26122655     DOI: 10.2174/1566524015666150630125247

Source DB:  PubMed          Journal:  Curr Mol Med        ISSN: 1566-5240            Impact factor:   2.222


  11 in total

1.  Genetic analysis of zebrafish homologs of human FOXQ1, foxq1a and foxq1b, in innate immune cell development and bacterial host response.

Authors:  Alison M Earley; Cameron T Dixon; Celia E Shiau
Journal:  PLoS One       Date:  2018-03-13       Impact factor: 3.240

2.  Prognostic value of FOXQ1 in patients with malignant solid tumors: a meta-analysis.

Authors:  Xiaohai Cui; Jing Zhang; Jiajun Lv; Yan Yan; Xu Liu; Jizhao Wang; Yi Lv; Jia Zhang
Journal:  Onco Targets Ther       Date:  2017-03-23       Impact factor: 4.147

3.  FOXC1 promotes melanoma by activating MST1R/PI3K/AKT.

Authors:  Jinhua Wang; Li Li; Shiwei Liu; Ying Zhao; Lin Wang; Guanhua Du
Journal:  Oncotarget       Date:  2016-12-20

4.  A six-mRNA prognostic model to predict survival in head and neck squamous cell carcinoma.

Authors:  Saisai Tian; Guofeng Meng; Weidong Zhang
Journal:  Cancer Manag Res       Date:  2018-12-20       Impact factor: 3.989

5.  Microarray Analysis of Gene Expression Involved in Butyrate-Resistant Colorectal Carcinoma HCT116 Cells.

Authors:  Chakkraphong Khonthun; Nongluk Saikachain; Siam Popluechai; Kongkiat Kespechara; Art Hiranyakas; Metawee Srikummool; Damratsamon Surangkul
Journal:  Asian Pac J Cancer Prev       Date:  2020-06-01

6.  FOXQ1 is Differentially Expressed Across Breast Cancer Subtypes with Low Expression Associated with Poor Overall Survival.

Authors:  Fahed A Elian; Ubah Are; Sunita Ghosh; Paulo Nuin; Tim Footz; Todd P W McMullen; David N Brindley; Michael A Walter
Journal:  Breast Cancer (Dove Med Press)       Date:  2021-03-01

7.  A six-mRNA signature model for the prognosis of head and neck squamous cell carcinoma.

Authors:  Wenna Guo; Xijia Chen; Liucun Zhu; Qiang Wang
Journal:  Oncotarget       Date:  2017-10-10

Review 8.  The Dominant Role of Forkhead Box Proteins in Cancer.

Authors:  Duc-Hiep Bach; Nguyen Phuoc Long; Thi-Thu-Trang Luu; Nguyen Hoang Anh; Sung Won Kwon; Sang Kook Lee
Journal:  Int J Mol Sci       Date:  2018-10-22       Impact factor: 5.923

9.  Potentiality of forkhead box Q1 as a biomarker for monitoring tumor features and predicting prognosis in non-small cell lung cancer.

Authors:  Lan Li; Bin Xu; Huibo Zhang; Jie Wu; Qibin Song; Jinming Yu
Journal:  J Clin Lab Anal       Date:  2019-11-12       Impact factor: 2.352

10.  miR-140-3p inhibits bladder cancer cell proliferation and invasion by targeting FOXQ1.

Authors:  Yuan Wang; Junwen Chen; Xia Wang; Kefeng Wang
Journal:  Aging (Albany NY)       Date:  2020-10-24       Impact factor: 5.682

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