Title of article :
A systematic review of proteomic biomarkers associated with risk stratification in pediatric acute lymphoblastic leukemia
Author/Authors :
Dehghan-Nayeri, Nasrin School of Medicine - Shahid Beheshti University of Medical Sciences, Tehran , Eshghi, Peyman School of Medicine - Shahid Beheshti University of Medical Sciences, Tehran , Goudarzi Pour, Kourosh School of Medicine - Shahid Beheshti University of Medical Sciences, Tehran , Gharehbaghian, Ahmad School of Medicine - Shahid Beheshti University of Medical Sciences, Tehran
Abstract :
Risk-based therapy protocols have dramatically improved survival rates in more than 80% of
childhood acute lymphoblastic leukemia (chALL). Prognostic biomarkers could be valuable for predicting
the relapsed ALL patients and may therefore contribute to improving ALL outcome. Presently, there are
little data on the role of prognostic biomarkers in the risk stratification of ALL. The aim of the present
systematic review is to survey the identified prognostic biomarkers of chALL. In this study, proteinprotein
interaction of identified biomarkers was evaluated to reveal the biological pathways related to
high risk chALL. To pursue this goal, firstly all relevant studies were collected through the PubMed and
Google Scholar databases with no restrictions. Then, the biomarkers of high risk patients were recorded
and finally protein-protein interaction of biomarkers was analyzed through using the STRING database.
After screening 82 abstracts, three studies were included with 36 high risk and 33 low risk B-ALL
participants. Totally, 142 biomarkers were investigated in this study. Protein interaction network analysis
of biomarkers revealed two main pathways, namely ribosome and spliceosome. Dysregulation of two key
pathways, ribosome and spliceosome can be associated with the high risk phenotype of childhood acute
lymphoblastic leukemia.
Keywords :
Acute lymphoblastic leukemia , Prognostic biomarker , Ribosome pathway , Spliceosome pathway
Journal title :
Astroparticle Physics