Title

A review on PIM kinases in tumors

 

Authors

Housna Arrouchi, Wiame Lakhlili*, Azeddine Ibrahimi

 

Affiliation

Laboratory of Biotechnology (MedBiotech), Rabat Medical and Pharmacy School, Mohammed V University in Rabat, Rabat, Morocco

 

Email

Wiame Lakhlili E-mail: wiame.lakhlili@um5s.net.ma; *Corresponding author

 

Article Type

Received December 23, 2018; Accepted January 16, 2019; Published February 3, 2019

 

Date

Review

 

Abstract

The Proviral Integration site for Moloney murine leukemia virus (PIM) kinases are serine/threonine kinases that promote growth and survival in multiple cell types, implicated in the pathogenesis of various diseases. Over expression of Pim-1 experimentally leads to tumor formation in mice, whereas there is no observable phenotype concerning the complete knockout of the protein. When it is over expressed it may lead to cancer development by three major ways; by inhibiting apoptosis, by promoting cell proliferation and also through promoting genomic instability. Expression in normal tissues is nearly undetectable. Recent improvements in the development of novel inhibitors of PIMs have been reviewed. Significant progress in the design of PIMs inhibitors, in which it displays selectivity versus other kinases, has been achieved within the last years. However, the development of isoform-selective PIM inhibitors is still an open task. As Pim-1 possesses oncogenic functions and is over expressed in various kinds of cancer diseases, its inhibition provides a new option in cancer therapy. A PubMed literature search was performed to review the currently available data on Pim-1 expression, regulation, and targets; its implication in different types of cancer and its impact on prognosis is described. Consequently, designing new inhibitors of PIMs is now a very active
area of research in academic and industrial laboratories.

 

Keywords

Tumor, Pim-1 kinase, Small molecule inhibitors.

 

Citation

Arrouchi et al. Bioinformation 15(1): 40-45 (2019)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.