Literature DB >> 18172255

Identification of matrix metalloproteinase 11 as a predictive tumor marker in serum based on gene expression profiling.

Yan-Hong Yang1, Hua Deng, Wen-Mei Li, Qing-Yun Zhang, Xiao-Ting Hu, Bai Xiao, Hai-Hong Zhu, Pai-Li Geng, You-Yong Lu.   

Abstract

PURPOSE: Prognostic markers discovery is a strategy for early diagnosis and individualization therapy for human cancer. In this study, we focus to integrate different methods to identify specific biomarker and elucidate its clinical significance. EXPERIMENTAL
DESIGN: A powerful tool named Digital Gene Expression Display online was applied to isolate differentially expressed genes correlated with gastric cancer. Matrix metalloproteinase 11 (MMP11) was selected and confirmed at both mRNA and protein level in 10 cell lines, 123 cases of tumor tissues, and 305 cases of gastric cancer serum specimen by semiquantitative PCR, immunohistochemistry staining, and ELISA techniques, respectively.
RESULTS: Our data showed that overexpression of MMP11 at mRNA and protein level was consistently detected in cell lines and primary tumors compared with matched normal tissues. Importantly, serum MMP11 levels were also significantly elevated in gastric cancer patients compared with those of the control subjects (P < 0.001), and the positive expression was well correlated with metastasis in gastric cancer patients (P = 0.009). Furthermore, we have shown that overexpression of MMP11 was associated with the malignant proliferation of AGS cells.
CONCLUSIONS: Combination of gene expression profiling and specific clinical resource is a promising approach to validate gene expression patterns associated with malignant phenotype. As a secreted protein, MMP11 may play an important role in carcinogenesis and has potential implication as a biomarker for the diagnosis and prognosis of human cancers including gastric cancer.

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Year:  2008        PMID: 18172255     DOI: 10.1158/1078-0432.CCR-07-1179

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  8 in total

1.  Co-expression of metalloproteinases 11 and 12 in cervical scrapes cells from cervical precursor lesions.

Authors:  Alejandra Valdivia; Raúl Peralta; Manuel Matute-González; Juan Manuel García Cebada; Ivonne Casasola; Cristina Jiménez-Medrano; Rogelio Aguado-Pérez; Vanessa Villegas; Cesar González-Bonilla; Leticia Manuel-Apolinar; Miguel Ibáñez; Mauricio Salcedo
Journal:  Int J Clin Exp Pathol       Date:  2011-10-12

2.  Overexpression of the matrix metalloproteinase 11 gene is a potential biomarker for type 1 endometrial cancer.

Authors:  Gabriela Sofía Gómez-Macías; María Lourdes Garza-Rodríguez; Raquel Garza-Guajardo; Daniela Monsiváis-Ovalle; Jesús Ancer-Rodríguez; Hugo Alberto Barrera-Saldaña; Oralia Barboza-Quintana
Journal:  Oncol Lett       Date:  2018-05-16       Impact factor: 2.967

3.  BioXpress: an integrated RNA-seq-derived gene expression database for pan-cancer analysis.

Authors:  Quan Wan; Hayley Dingerdissen; Yu Fan; Naila Gulzar; Yang Pan; Tsung-Jung Wu; Cheng Yan; Haichen Zhang; Raja Mazumder
Journal:  Database (Oxford)       Date:  2015-03-28       Impact factor: 3.451

4.  A Point Mutation in DNA Polymerase β (POLB) Gene Is Associated with Increased Progesterone Receptor (PR) Expression and Intraperitoneal Metastasis in Gastric Cancer.

Authors:  Xiaohui Tan; Xiaoling Wu; Shuyang Ren; Hongyi Wang; Zhongwu Li; Weaam Alshenawy; Wenmei Li; Jiantao Cui; Guangbin Luo; Robert S Siegel; Sidney W Fu; Youyong Lu
Journal:  J Cancer       Date:  2016-07-05       Impact factor: 4.207

Review 5.  Molecular alterations of cancer cell and tumour microenvironment in metastatic gastric cancer.

Authors:  Weilin Li; Jennifer Mun-Kar Ng; Chi Chun Wong; Enders Kwok Wai Ng; Jun Yu
Journal:  Oncogene       Date:  2018-05-23       Impact factor: 9.867

6.  Integrative analysis with expanded DNA methylation data reveals common key regulators and pathways in cancers.

Authors:  Shicai Fan; Jianxiong Tang; Nan Li; Ying Zhao; Rizi Ai; Kai Zhang; Mengchi Wang; Wei Du; Wei Wang
Journal:  NPJ Genom Med       Date:  2019-02-01       Impact factor: 8.617

7.  Distinct and atypical intrinsic and extrinsic cell death pathways between photoreceptor cell types upon specific ablation of Ranbp2 in cone photoreceptors.

Authors:  Kyoung-In Cho; Mdemdadul Haque; Jessica Wang; Minzhong Yu; Ying Hao; Sunny Qiu; Indulekha C L Pillai; Neal S Peachey; Paulo A Ferreira
Journal:  PLoS Genet       Date:  2013-06-20       Impact factor: 5.917

8.  Up-regulation of CLDN1 in gastric cancer is correlated with reduced survival.

Authors:  Lars L Eftang; Ying Esbensen; Tone M Tannæs; Gustav P Blom; Ida R K Bukholm; Geir Bukholm
Journal:  BMC Cancer       Date:  2013-12-10       Impact factor: 4.430

  8 in total

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