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PTTG1-interacting protein (PTTG1IP/PBF) predicts breast cancer survival

Overview of attention for article published in BMC Cancer, October 2017
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Title
PTTG1-interacting protein (PTTG1IP/PBF) predicts breast cancer survival
Published in
BMC Cancer, October 2017
DOI 10.1186/s12885-017-3694-6
Pubmed ID
Authors

Heli Repo, Natalia Gurvits, Eliisa Löyttyniemi, Marjukka Nykänen, Minnamaija Lintunen, Henna Karra, Samu Kurki, Teijo Kuopio, Kati Talvinen, Mirva Söderström, Pauliina Kronqvist

Abstract

PTTG1-interacting protein (PTTG1IP) is an oncogenic protein, which participates in metaphase-anaphase transition of the cell cycle through activation of securin (PTTG1). PTTG1IP promotes the shift of securin from the cell cytoplasm to the nucleus, allowing the interaction between separase and securin. PTTG1IP overexpression has been previously observed in malignant disease, e.g. in breast carcinoma. However, the prognostic value of PTTG1IP in breast carcinoma patients has not previously been revealed. A total of 497 breast carcinoma patients with up to 22-year follow-up were analysed for PTTG1IP and securin immunoexpression. The results were evaluated for correlations with the clinical prognosticators and patient survival. In our material, negative PTTG1IP immunoexpression predicted a 1.5-fold risk of breast cancer death (p = 0.02). However, adding securin immunoexpression to the analysis indicated an even stronger and independent prognostic power in the patient material (HR = 2.5, p < 0.0001). The subcellular location of securin was found with potential prognostic value also among the triple-negative breast carcinomas (n = 96, p = 0.052). PTTG1IP-negativity alone and in combination with high securin immunoexpression indicates a high risk of breast cancer death, resulting in up to 14-year survival difference in our material.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 22%
Other 4 17%
Student > Ph. D. Student 4 17%
Librarian 1 4%
Lecturer > Senior Lecturer 1 4%
Other 3 13%
Unknown 5 22%
Readers by discipline Count As %
Medicine and Dentistry 7 30%
Biochemistry, Genetics and Molecular Biology 6 26%
Arts and Humanities 1 4%
Computer Science 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 2 9%
Unknown 5 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 October 2017.
All research outputs
#18,575,277
of 23,007,053 outputs
Outputs from BMC Cancer
#5,461
of 8,358 outputs
Outputs of similar age
#251,532
of 328,360 outputs
Outputs of similar age from BMC Cancer
#73
of 112 outputs
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