New Candidate Genes for Lack of Sensitivity to Therapy in Pediatric Leukemias

Author(s): Weronika Bereza, Joanna Szczepanek*, Joanna Laskowska, Andrzej Tretyn.

Journal Name: Current Cancer Drug Targets

Volume 17 , Issue 4 , 2017

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Abstract:

In the recent years, significant development of molecular genetics has contributed to the better understanding of leukemogenesis and classification of the different leukemia subtypes. Patients diagnosed with acute leukemia usually undergo chemotherapy, which involves the induction of remission, consolidation of remission and maintenance therapy. Patients are still vulnerable to relapse due to differences in the sensitivity of leukemia cells to the chemotherapeutic agent, because of the active drugs removal from the cells, improving the repair of DNA damage or abnormalities in the apoptotic pathway. Cell adhesion and miRNA expression level also affect the drug resistance. New candidate genes and genes correlated with the disease have been sought to increase the survival of patients with leukemia. Candidate gene is usually a loci located in a certain chromosomal region suspected of involvement to the disease course or its expression product regulates disease progression. There are classic and digital methods of finding candidate genes. These techniques are inexpensive, quick and easy to carry out. Unfortunately, due to insufficient knowledge of the disease etiology and low accuracy, researchers cannot detect all genes, involved in leukemogenesis and cell resistance. Currently, scientists have many tools used for selecting genes, such as expression microarrays, comparative genomic hybridization and next generation sequencing. Among the validation techniques for candidate genes, the mostly used ones are fluorescent in situ hybridization and real-time PCR. In our review we present 18 candidate genes of resistance to therapy in childhood leukemia.

Keywords: Quantative trait loci (QTL), multidrug resistance, genome-wide association studies (GWAS), linkage mapping approach, genetic profiling, biomarkers.

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Article Details

VOLUME: 17
ISSUE: 4
Year: 2017
Page: [333 - 343]
Pages: 11
DOI: 10.2174/1568009616666161208150148
Price: $65

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