Literature DB >> 33952464

PARP1 Is Overexpressed in Hematological Malignant Cell Lines: A Framework for Experimental Oncology.

Caio Bezerra Machado1, Emerson Lucena DA Silva1, Beatriz Maria Dias Nogueira1, Manoel Odorico DE Moraes Filho1, Raquel Carvalho Montenegro1, Maria Elisabete Amaral DE Moraes1, Caroline Aquino Moreira-Nunes1.   

Abstract

BACKGROUND/AIM: Experimental oncology commonly uses cells as oncological models, providing a framework for the testing of drugs, and investigation of cytotoxicity, mutagenesis and carcinogenesis. Investigations into poly-ADP-ribose polymerase 1 (PARP1) inhibition have become ever more relevant due to its approval as a therapeutic option for tumors with BRCA1/2 DNA repair-associated mutation and the seemingly high PARP expression levels in some tumor subtypes. In this study, we aimed to determine PARP1 gene expression of different hematological cancer-derived cell lineages and compare them to that of normal cell lines.
MATERIALS AND METHODS: PARP1 gene expression in seven different neoplastic lineages, representing three different hematological disorders (chronic myeloid leukemia, Burkitt lymphoma and acute lymphoblastic leukemia), was quantified by quantitative real-time polymerase chain reaction.
RESULTS: All hematological malignant lineages in this study overexpressed PARP1 when compared to the normal cell line MRC-5, with Burkitt's lymphoma cells having the highest expression values (fold change: 93).
CONCLUSION: Overexpression of PARP1 in hematological malignant lineages is a finding of crucial importance to future studies exploring possible cellular oncogenic pathways and supports investigations into the effectiveness of PARP1 inhibitors against hematological disorders.
Copyright © 2021 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

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Keywords:  Cultured cells; PARP polymerase; hematological malignancies

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Year:  2021        PMID: 33952464     DOI: 10.21873/anticanres.15014

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  1 in total

1.  Pan-cancer analysis of LncRNA XIST and its potential mechanisms in human cancers.

Authors:  Wei Han; Chun-Tao Shi; Jun Ma; Hua Chen; Qi-Xiang Shao; Xiao-Jiao Gao; Ying Zhou; Jing-Feng Gu; Hao-Nan Wang
Journal:  Heliyon       Date:  2022-09-28
  1 in total

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