Literature DB >> 23649491

Matriptase-2 gene (TMPRSS6) variants associate with breast cancer survival, and reduced expression is related to triple-negative breast cancer.

Hanna Tuhkanen1, Jaana M Hartikainen, Ylermi Soini, Gloria Velasco, Reijo Sironen, Timo K Nykopp, Vesa Kataja, Matti Eskelinen, Veli-Matti Kosma, Arto Mannermaa.   

Abstract

Matriptase-2 (TMPRSS6) has been identified as a breast cancer risk factor. Here, we examined relationships between TMPRSS6 genetic variations and breast cancer risk and survival, and determined the gene and protein expressions in breast tumors and assessed their clinical importance. Thirteen TMPRSS6 polymorphisms were genotyped in 462 invasive breast cancer cases and 458 controls. Gene expression was analyzed from 83 tumors and protein expression from 370 tumors. We then assessed the statistical significance of associations among genotypes, clinicopathological characteristics and survival. The TMPRSS6 variant rs2543519 was associated with breast cancer risk (p = 0.032). Multivariate analysis showed that four variants had effects on survival-rs2543519 (p = 0.017), rs2235324 (p = 0.038), rs14213212 (p = 0.044) and rs733655 (p = 0.021)-which were used to create a group variable that was associated with poorer prognosis correlating with more alleles related to reduced survival (p = 0.006; risk ratio, 2.375; 95% confidence interval, 1.287-4.382). Low gene expression was related to triple-negative breast cancer (p = 0.0001), and lower protein expression was detected in undifferentiated (p = 0.019), large (p = 0.014) and ductal or lobular tumors (p = 0.036). These results confirm the association of TMRRSS6 variants with breast cancer risk and survival. Matriptase-2 levels decrease with tumor progression, and lower gene expression is seen in poor-prognosis-related triple-negative breast cancers. Our study is the first to show that matriptase-2 gene variants are related to breast cancer prognosis, supporting matriptase-2 involvement in tumor development.
Copyright © 2013 UICC.

Entities:  

Keywords:  breast cancer; expression; genetic variation; matriptase-2; survival

Mesh:

Substances:

Year:  2013        PMID: 23649491     DOI: 10.1002/ijc.28254

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  13 in total

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Journal:  Oncogene       Date:  2022-04-13       Impact factor: 9.867

Review 3.  Cell surface-anchored serine proteases in cancer progression and metastasis.

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Journal:  Cancer Metastasis Rev       Date:  2019-09       Impact factor: 9.264

4.  An investigation of the relationship between TMPRSS6 gene expression, genetic variants and clinical findings in breast cancer.

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Authors:  Mikko Pelkonen; Kaisa Luostari; Maria Tengström; Hermanni Ahonen; Bozena Berdel; Vesa Kataja; Ylermi Soini; Veli-Matti Kosma; Arto Mannermaa
Journal:  BMC Cancer       Date:  2015-05-27       Impact factor: 4.430

6.  Type II transmembrane serine protease gene variants associate with breast cancer.

Authors:  Kaisa Luostari; Jaana M Hartikainen; Maria Tengström; Jorma J Palvimo; Vesa Kataja; Arto Mannermaa; Veli-Matti Kosma
Journal:  PLoS One       Date:  2014-07-16       Impact factor: 3.240

7.  Functional diversity of TMPRSS6 isoforms and variants expressed in hepatocellular carcinoma cell lines.

Authors:  Sébastien P Dion; François Béliveau; Louis-Philippe Morency; Antoine Désilets; Rafaël Najmanovich; Richard Leduc
Journal:  Sci Rep       Date:  2018-08-22       Impact factor: 4.379

Review 8.  The role of TMPRSS6/matriptase-2 in iron regulation and anemia.

Authors:  Chia-Yu Wang; Delphine Meynard; Herbert Y Lin
Journal:  Front Pharmacol       Date:  2014-05-19       Impact factor: 5.810

Review 9.  Differential regulation of hepcidin in cancer and non-cancer tissues and its clinical implications.

Authors:  Driton Vela; Zana Vela-Gaxha
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10.  Identification of Immune-Related Prognostic Genes and LncRNAs Biomarkers Associated With Osteosarcoma Microenvironment.

Authors:  Tao Zhang; Yingli Nie; Haifa Xia; Yanbin Zhang; Kailin Cai; Xiangdong Chen; Huili Li; Jiliang Wang
Journal:  Front Oncol       Date:  2020-07-24       Impact factor: 6.244

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