Literature DB >> 28093193

HBXIP over expression as an independent biomarker for cervical cancer.

Nan Li1, Yixuan Wang2, Shuanlong Che3, Yang Yang4, Junjie Piao5, Shuangping Liu6, Zhenhua Lin7.   

Abstract

BACKGROUND: Emerging evidence demonstrated that hepatitis B virus X-interacting protein (HBXIP) has broad roles in cancers. However, high-level expression of HBXIP has been correlated with human malignancies, suggesting roles in carcinogenesis and tumor progression. The aim of the study is to investigate the role and mechanism of HBXIP oncogene and the correlation to the clinicopathological status in cervical cancers.
METHODS: A total of 107 cervical cancer patients with strict follow-up, 105 cervical intraepithelial neoplasia (CIN) and 31 normal cervical epithelia samples were selected for immunohistochemical (IHC) staining of HBXIP protein. Additionally, the cervical cancer cell line of SiHa was included in this study. The relationship between HBXIP expression and clinicopathological characteristics were analyzed to verify the clinical value of HBXIP protein expression in patient prognosis, and survival rates were calculated using the Kaplan-Meier method.
RESULTS: HBXIP protein showed a mainly cytoplasmic staining pattern in cervical cancers by using IHC staining in paraffin embedded cervical cancer tissues and IF staining in SiHa cervical cancer cells. The strongly positive rate of HBXIP protein expression was significantly higher in cervical SCCs and CINs than in normal cervical epithelia. HBXIP protein over-expression was significantly correlated with the clinical stage, differentiation, lymph node metastasis, HPV infection, the over-expression of P63 and overall survival rates in cervical cancer. All of these data defined that HBXIP was involved in the progression of the cervical cancer. However, the detailed mechanism need to the further study.
CONCLUSIONS: HBXIP over-expression appears to associate with cervical cancer progression, and may potentially be used as a cervical cancer biomarker for the early diagnosis, prognostic evaluation and therapeutic target for cervical cancer.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cervical cancer; HBXIP; P63; Prognosis

Mesh:

Substances:

Year:  2017        PMID: 28093193     DOI: 10.1016/j.yexmp.2017.01.009

Source DB:  PubMed          Journal:  Exp Mol Pathol        ISSN: 0014-4800            Impact factor:   3.362


  7 in total

1.  Elevated HBXIP expression is associated with aggressive phenotype and poor prognosis in esophageal squamous cell carcinoma.

Authors:  Honggang Xia; Lan Ma; Jing Li; Hongyu Bai; Dongbin Wang
Journal:  Am J Cancer Res       Date:  2017-11-01       Impact factor: 6.166

2.  Paip1 Indicated Poor Prognosis in Cervical Cancer and Promoted Cervical Carcinogenesis.

Authors:  Nan Li; Junjie Piao; Xinyue Wang; Ki-Yeol Kim; Jung Yoon Bae; Xiangshan Ren; Zhenhua Lin
Journal:  Cancer Res Treat       Date:  2019-04-19       Impact factor: 4.679

3.  Oncoprotein HBXIP promotes tumorigenesis through MAPK/ERK pathway activation in non-small cell lung cancer.

Authors:  Jun Zhang; Bei Sun; Xianhui Ruan; Xiukun Hou; Jingtai Zhi; Xiangrui Meng; Xiangqian Zheng; Ming Gao
Journal:  Cancer Biol Med       Date:  2021-02-15       Impact factor: 4.248

4.  Prognostic impact of hepatitis B virus infection in patients with primary cervical cancer.

Authors:  Xiaoyan Feng; Huaiwu Lu; Yuan Wei; Meimei Guan; Junyi Wang; Changhao Liu; Tianran Shen; Qingsong Chen; Qunxian Rao
Journal:  Cancer Med       Date:  2021-10-21       Impact factor: 4.452

5.  LAMTOR5 expression level is a biomarker for colorectal cancer and lncRNA LAMTOR5-AS1 predicting miRNA sponging effect.

Authors:  Najmeh Riahi Zaniani; Andisheh Oroujalian; Ali Valipour; Maryam Peymani
Journal:  Mol Biol Rep       Date:  2021-08-10       Impact factor: 2.316

Review 6.  Cervical cancer metastasis to the brain: A case report and review of literature.

Authors:  Kaleigh Fetcko; Dibson D Gondim; Jose M Bonnin; Mahua Dey
Journal:  Surg Neurol Int       Date:  2017-08-09

7.  Discovery and validation of novel biomarkers for detection of cervical cancer.

Authors:  Zigang Li; Jianhua Chen; Shaobo Zhao; Yajun Li; Jie Zhou; Jianghong Liang; Huifang Tang
Journal:  Cancer Med       Date:  2021-02-23       Impact factor: 4.452

  7 in total

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