Literature DB >> 22412199

LAPTM4B polymorphisms is associated with ovarian cancer susceptibility and its prognosis.

Ye Xu1, Yunduo Liu, Rouli Zhou, Fanling Meng, Ying Gao, Shanshan Yang, Xueting Li, Meng Yang, Ge Lou.   

Abstract

OBJECTIVE: Lysosome-associated protein transmembrane 4 beta (LAPTM4B) is an important novel gene associated with the proliferation and differentiation of cells. Recent studies have shown that it was overexpressed in many cancer tissues. This study investigated the association between different LAPTM4B polymorphisms and the susceptibility and prognosis of ovarian cancer.
METHODS: A case-control study was performed in 282 patients with ovarian cancer and 365 control subjects. Genomic DNA was extracted from peripheral blood lymphocytes in all participants. LAPTM4B genotypes were determined using polymerase chain reaction.
RESULTS: There was a significantly higher LAPTM4B 2 allele frequency in ovarian cancer cases than controls (P < 0.05). Using the LAPTM4B 1/1 genotype as the reference, we found that the LAPTM4B 1/2 and LAPTM4B 2/2 genotypes were positively associated with ovarian cancer. Additionally, we found a negative correlation between the tumor grade and LAPTM4B allele genotype, which indicates strongly that LAPTM4B 2 could affect the survival of patients.
CONCLUSIONS: These findings indicate that the LAPTM4B 2 allele may be a risk factor for ovarian cancer and may play an important role in genetic susceptibility to ovarian cancer.

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Year:  2012        PMID: 22412199     DOI: 10.1093/jjco/hys026

Source DB:  PubMed          Journal:  Jpn J Clin Oncol        ISSN: 0368-2811            Impact factor:   3.019


  16 in total

1.  Association between LAPTM4B gene polymorphism and prostate cancer susceptibility in an Iranian population.

Authors:  Mohammad Hashemi; Maryam Rezaei; Behzad Narouie; Nasser Simforoosh; Abbas Basiri; Sayed Amir Mohsen Ziaee; Gholamreza Bahari; Mohsen Taheri
Journal:  Mol Cell Oncol       Date:  2016-04-15

Review 2.  Role and mechanism of action of LAPTM4B in EGFR-mediated autophagy.

Authors:  Xiaokun Ji; Hua Ma; Yun Du
Journal:  Oncol Lett       Date:  2022-02-07       Impact factor: 2.967

3.  Association of LAPTM4B gene polymorphism with nasopharyngeal carcinoma susceptibility in a Chinese population.

Authors:  Bing Wang; Jianjun Xu; Rouli Zhou; Qingyun Zhang
Journal:  Med Oncol       Date:  2013-01-24       Impact factor: 3.064

4.  Association between LAPTM4B gene polymorphism and breast cancer susceptibility in an Iranian population.

Authors:  Mohammad Hashemi; Sahadi Amininia; Mahboubeh Ebrahimi; Seyed Mehdi Hashemi; Javad Yousefi; Ebrahim Eskandari-Nasab; Mohsen Taheri; Saeid Ghavami
Journal:  Med Oncol       Date:  2014-07-08       Impact factor: 3.064

5.  LAPTM4B-35 protein as a potential therapeutic target in gastric cancer.

Authors:  Hongying Zhang; Buxian Tian; Hongyu Yu; Hongyue Yao; Zhian Gao
Journal:  Tumour Biol       Date:  2014-11-22

6.  The relationship between LAPTM4B polymorphisms and cancer risk in Chinese Han population: a meta-analysis.

Authors:  Ling-Zi Xia; Zhi-Hua Yin; Yang-Wu Ren; Li Shen; Wei Wu; Xue-Lian Li; Peng Guan; Bao-Sen Zhou
Journal:  Springerplus       Date:  2015-04-15

7.  LAPTM4B-35 protein is a weak tumor-associated antigen candidate.

Authors:  Guilan Shi; Chunxia Zhou; Dongmei Wang; Wenbo Ma; Shuren Zhang
Journal:  Exp Ther Med       Date:  2013-11-26       Impact factor: 2.447

8.  Relationship between LAPTM4B Gene Polymorphism and Prognosis of Patients following Tumor Resection for Colorectal and Esophageal Cancers.

Authors:  Xiaojing Cheng; Xiuyun Tian; Xiaojiang Wu; Xiaofang Xing; Hong Du; Chunlian Zhou; Qingyun Zhang; Chunyi Hao; Xianzi Wen; Jiafu Ji
Journal:  PLoS One       Date:  2016-07-08       Impact factor: 3.240

9.  LAPTM4B allele *2 is associated with breast cancer susceptibility and prognosis.

Authors:  Xiaoyan Li; Xiangnan Kong; Xi Chen; Ning Zhang; Liyu Jiang; Tingting Ma; Qifeng Yang
Journal:  PLoS One       Date:  2012-09-12       Impact factor: 3.240

10.  LAPTM4B polymorphism increases susceptibility to multiple cancers in Chinese populations: a meta-analysis.

Authors:  Cuiju Mo; Yu Lu; Yan Deng; Jian Wang; Li Xie; Taijie Li; Yu He; Qiliu Peng; Xue Qin; Shan Li
Journal:  BMC Genet       Date:  2014-04-18       Impact factor: 2.797

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