BIOMARKER POTENTIAL OF IQ-DOMAIN GTPASE-ACTIVATING PROTEINS FAMILY PROTEIN IN PANCREATIC CANCER: A MINI REVIEW


Anton Sumarpo, Agnes Anania Triavika Sahamastuti, Gisella Edny Tjugianto, Kenny Yonathan, David Agustriawan

Abstract


Objectives: Our present study was done to understand molecular regulatory mechanisms of IQGAP proteins and their potentials as biomarker in pancreatic cancer.

Methods: In this review, relevant studies were obtained by assessing the PubMed database using the combination of words that included “IQGAP” and “pancreatic cancer”.

Results: There is an increasing evidence showing that the expression of IQGAP1 and IQGAP3 is positively correlated with tumorigenesis; however, IQGAP2 might play a role to suppress tumor progression.

Conclusion: IQGAP proteins might have potentials as predictive and prognostic biomarker for human pancreatic cancer.


Keywords


Pancreatic cancer, IQ-domain GTPase-activating proteins, Tumor biomarker, Early detection, Prognostic value.

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About this article

Title

BIOMARKER POTENTIAL OF IQ-DOMAIN GTPASE-ACTIVATING PROTEINS FAMILY PROTEIN IN PANCREATIC CANCER: A MINI REVIEW

Keywords

Pancreatic cancer, IQ-domain GTPase-activating proteins, Tumor biomarker, Early detection, Prognostic value.

DOI

10.22159/ajpcr.2018.v11s3.30021

Date

06-10-2018

Additional Links

Manuscript Submission

Journal

Asian Journal of Pharmaceutical and Clinical Research
Vol 11 Special issue 3 2018 Page: 24-27

Print ISSN

0974-2441

Online ISSN

2455-3891

Authors & Affiliations

Anton Sumarpo
Department of Biochemistry, Faculty of Medicine, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia.
Indonesia

Agnes Anania Triavika Sahamastuti
Department of Pharmacy, Indonesia International Institute for Life Sciences, Jakarta, Indonesia.
Indonesia

Gisella Edny Tjugianto
Department of Pharmacy, Indonesia International Institute for Life Sciences, Jakarta, Indonesia.
Indonesia

Kenny Yonathan
Department of Biomedicine, Indonesia International Institute for Life Sciences, Jakarta, Indonesia.
Indonesia

David Agustriawan
Department of Bioinformatics, Indonesia International Institute for Life Sciences, Jakarta, Indonesia.
Indonesia


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