Literature DB >> 20716618

ST14 gene variant and decreased matriptase protein expression predict poor breast cancer survival.

Jaana M Kauppinen1, Veli-Matti Kosma, Ylermi Soini, Reijo Sironen, Minna Nissinen, Timo K Nykopp, Vesa Kärjä, Matti Eskelinen, Vesa Kataja, Arto Mannermaa.   

Abstract

BACKGROUND: Matriptase plays a role in carcinogenesis, but the role of its genetic variation or that of the hepatocyte growth factor activator inhibitor-1 (HAI-1) has not been evaluated. This study aimed to examine the genetic variation of matriptase (ST14 gene) and HAI-1 (SPINT1 gene) in breast cancer risk and prognosis, to assess matriptase and HAI-1 gene and protein expression in breast tumors, and to identify their clinicopathologic correlations and prognostic significance.
METHODS: Five single nucleotide polymorphisms in ST14 and three in SPINT1 were genotyped in 470 invasive breast cancer cases and 446 healthy controls. Gene expression analysis was done for 40 breast cancer samples. Protein expression was assessed by immunohistochemical analyses in 377 invasive breast tumors. The statistical significance of the associations among genotypes, clinicopathologic variables, and prognosis was assessed.
RESULTS: The ST14 single nucleotide polymorphism rs704624 independently predicted breast cancer survival, a poor outcome associated with the minor allele (P = 0.001; risk ratio, 2.221; 95% confidence interval, 1.382-3.568). Moreover, ST14 gene expression levels were lower among the minor allele carriers (P = 0.009), and negative/low matriptase protein expression was independently predictive of poorer survival (P = 0.046; risk ratio, 1.554; 95% confidence interval, 1.008-2.396).
CONCLUSIONS: The ST14 variant rs704624 and protein expression of matriptase have prognostic significance in breast cancer. This study adds to the evidence for the role of matriptase in breast cancer and has found new evidence for the genotypes having an impact in breast cancer. IMPACT: This is the first study showing that genetic variation in matriptase has clinical importance. The results encourage further study on the genetic variation affecting protein levels and function in type II transmembrane serine proteases. (c) 2010 AACR.

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Year:  2010        PMID: 20716618     DOI: 10.1158/1055-9965.EPI-10-0418

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  14 in total

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Journal:  Cancer Med       Date:  2021-05-07       Impact factor: 4.452

2.  Histone demethylase GASC1--a potential prognostic and predictive marker in invasive breast cancer.

Authors:  Bozena Berdel; Kaisa Nieminen; Ylermi Soini; Maria Tengström; Marjo Malinen; Veli-Matti Kosma; Jorma J Palvimo; Arto Mannermaa
Journal:  BMC Cancer       Date:  2012-11-14       Impact factor: 4.430

3.  Diversity of matriptase expression level and function in breast cancer.

Authors:  Arkadiusz Welman; Duncan Sproul; Peter Mullen; Morwenna Muir; Andrew R Kinnaird; David J Harrison; Dana Faratian; Valerie G Brunton; Margaret C Frame
Journal:  PLoS One       Date:  2012-04-13       Impact factor: 3.240

4.  Low expression levels of hepsin and TMPRSS3 are associated with poor breast cancer survival.

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

5.  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

6.  Proteolytic cleavages in the extracellular domain of receptor tyrosine kinases by membrane-associated serine proteases.

Authors:  Li-Mei Chen; Karl X Chai
Journal:  Oncotarget       Date:  2017-04-10

7.  FANCM mutation c.5791C>T is a risk factor for triple-negative breast cancer in the Finnish population.

Authors:  Johanna I Kiiski; Anna Tervasmäki; Liisa M Pelttari; Sofia Khan; Tuomo Mantere; Katri Pylkäs; Arto Mannermaa; Maria Tengström; Anders Kvist; Åke Borg; Veli-Matti Kosma; Anne Kallioniemi; Johanna Schleutker; Ralf Bützow; Carl Blomqvist; Kristiina Aittomäki; Robert Winqvist; Heli Nevanlinna
Journal:  Breast Cancer Res Treat       Date:  2017-07-12       Impact factor: 4.872

8.  High mutation burden of circulating cell-free DNA in early-stage breast cancer patients is associated with a poor relapse-free survival.

Authors:  Jouni Kujala; Jaana M Hartikainen; Maria Tengström; Reijo Sironen; Veli-Matti Kosma; Arto Mannermaa
Journal:  Cancer Med       Date:  2020-06-29       Impact factor: 4.452

9.  Loss of hepatocyte growth factor activator inhibitor type 1 participates in metastatic spreading of human pancreatic cancer cells in a mouse orthotopic transplantation model.

Authors:  Jingjia Ye; Makiko Kawaguchi; Yukihiro Haruyama; Ai Kanemaru; Tsuyoshi Fukushima; Koji Yamamoto; Chen-Yong Lin; Hiroaki Kataoka
Journal:  Cancer Sci       Date:  2013-11-25       Impact factor: 6.716

10.  FANCM c.5101C>T mutation associates with breast cancer survival and treatment outcome.

Authors:  Johanna I Kiiski; Rainer Fagerholm; Anna Tervasmäki; Liisa M Pelttari; Sofia Khan; Maral Jamshidi; Tuomo Mantere; Katri Pylkäs; Jiri Bartek; Jirina Bartkova; Arto Mannermaa; Maria Tengström; Veli-Matti Kosma; Robert Winqvist; Anne Kallioniemi; Kristiina Aittomäki; Carl Blomqvist; Heli Nevanlinna
Journal:  Int J Cancer       Date:  2016-09-19       Impact factor: 7.396

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