Literature DB >> 22783446

Changes in leukocyte gene expression profiles induced by antineoplastic chemotherapy.

Rebeca González-Fernández1, Manuel Morales, Julio Avila, Pablo Martín-Vasallo.   

Abstract

In the present study, we studied changes in gene expression induced by chemotherapy (CT) on normal peripheral blood leukocytes (PBLs), at baseline and following three CT cycles, in order to identify which genes were specifically affected and were potentially useful as biomarkers for a personalised prognosis and follow-up. A PBL subtraction cDNA library was constructed from four patients undergoing CT with paclitaxel and carboplatin (PC). mRNA from the PBLs was isolated prior to the patients receiving the first cycle and following the completion of the third cycle. The library was screened and the expression of the identified genes was studied in PBLs obtained from patients suffering from cancer prior to and following three cycles of PC and a reference group of patients undergoing treatment with Adriamycin-cyclophosphamide (AC). From the 1,200 screened colonies, 65 positive clones showed varied expression intensity and were sequenced; 27 of these were mitochondrial DNA and 38 clones (27 different) were coded for cytosolic and nuclear proteins. The genes that were studied in patients undergoing CT were ATM (ataxia-telangiectasia mutated gene), eIF4B (translation initiation factor 4B), MATR3 (Matrin 3), MORC3 (microrchidia 3), PCMTD2 (protein-L-isoaspartate O-methyltransferase), PDCD10 (programmed cell death gene 10), PSMB1 (proteasome subunit type β), RMND5A (required for meiotic nuclear division 5 homologue A), RUNX2 (runt-related transcription factor 2), SACM1L (suppressor of actin mutations 1-like), TMEM66 (transmembrane protein 66) and ZNF644 (zinc finger protein 644). Certain variations were observed in the expression of the genes that are involved in drug resistance mechanisms, some of which may be secondary to non-desirable effects and others of which may cause the undesired effects of CT. The expression of genes with a dynamic cellular role showed a marked positive correlation, indicating that their upregulation may be involved in a specific pattern of cell survival versus apoptosis in response to the cell damage induced by CT. Whether these CT-induced changes are random or directed in a specific selection-evolution manner needs to be elucidated.

Entities:  

Year:  2012        PMID: 22783446      PMCID: PMC3392589          DOI: 10.3892/ol.2012.669

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


  36 in total

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Authors:  M Kavallaris; D Y Kuo; C A Burkhart; D L Regl; M D Norris; M Haber; S B Horwitz
Journal:  J Clin Invest       Date:  1997-09-01       Impact factor: 14.808

2.  Functional screening for proapoptotic genes by reverse transfection cell array technology.

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Journal:  Genomics       Date:  2006-02-28       Impact factor: 5.736

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4.  The analysis of doxorubicin resistance in human breast cancer cells using antibody microarrays.

Authors:  Laura Smith; Mark B Watson; Sara L O'Kane; Philip J Drew; Michael J Lind; Lynn Cawkwell
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5.  Dynamic regulation of p53 subnuclear localization and senescence by MORC3.

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6.  High-resolution characterization of the pancreatic adenocarcinoma genome.

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7.  Formation, localization, and repair of L-isoaspartyl sites in histones H2A and H2B in nucleosomes from rat liver and chicken erythrocytes.

Authors:  Wayne G Carter; Dana W Aswad
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Authors:  Corine Ekhart; Valerie D Doodeman; Sjoerd Rodenhuis; Paul H M Smits; Jos H Beijnen; Alwin D R Huitema
Journal:  Pharmacogenet Genomics       Date:  2008-06       Impact factor: 2.089

9.  Matrin 3 is a Ca2+/calmodulin-binding protein cleaved by caspases.

Authors:  C Alexander Valencia; Wujian Ju; Rihe Liu
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Journal:  Leuk Res       Date:  2010-10       Impact factor: 3.156

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  10 in total

1.  The MORC family: new epigenetic regulators of transcription and DNA damage response.

Authors:  Da-Qiang Li; Sujit S Nair; Rakesh Kumar
Journal:  Epigenetics       Date:  2013-05-17       Impact factor: 4.528

2.  Mechanism for autoinhibition and activation of the MORC3 ATPase.

Authors:  Yi Zhang; Brianna J Klein; Khan L Cox; Bianca Bertulat; Adam H Tencer; Michael R Holden; Gregory M Wright; Joshua Black; M Cristina Cardoso; Michael G Poirier; Tatiana G Kutateladze
Journal:  Proc Natl Acad Sci U S A       Date:  2019-03-08       Impact factor: 11.205

3.  Loss of endothelial programmed cell death 10 activates glioblastoma cells and promotes tumor growth.

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Journal:  Neuro Oncol       Date:  2015-08-08       Impact factor: 12.300

4.  Multivalent Chromatin Engagement and Inter-domain Crosstalk Regulate MORC3 ATPase.

Authors:  Forest H Andrews; Qiong Tong; Kelly D Sullivan; Evan M Cornett; Yi Zhang; Muzaffar Ali; JaeWoo Ahn; Ahway Pandey; Angela H Guo; Brian D Strahl; James C Costello; Joaquin M Espinosa; Scott B Rothbart; Tatiana G Kutateladze
Journal:  Cell Rep       Date:  2016-09-20       Impact factor: 9.423

5.  Gene expression of peripheral blood cells reveals pathways downstream of glucocorticoid receptor antagonism and nab-paclitaxel treatment.

Authors:  Joseph C Maranville; Rita Nanda; Gini F Fleming; Maxwell N Skor; Anna Di Rienzo; Suzanne D Conzen
Journal:  Pharmacogenet Genomics       Date:  2014-09       Impact factor: 2.089

6.  MORC3 Forms Nuclear Condensates through Phase Separation.

Authors:  Yi Zhang; Bianca Bertulat; Adam H Tencer; Xiaojun Ren; Gregory M Wright; Joshua Black; M Cristina Cardoso; Tatiana G Kutateladze
Journal:  iScience       Date:  2019-06-25

7.  Diagnostic Significance of Downregulated circMORC3 as a Molecular Biomarker of Hypopharyngeal Squamous Cell Carcinoma: A Pilot Study.

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Review 8.  MORC protein family-related signature within human disease and cancer.

Authors:  Huan Wang; Ling Zhang; Qiuhua Luo; Jia Liu; Guiling Wang
Journal:  Cell Death Dis       Date:  2021-11-27       Impact factor: 8.469

9.  Downregulation of programmed cell death 10 is associated with tumor cell proliferation, hyperangiogenesis and peritumoral edema in human glioblastoma.

Authors:  Nicole Lambertz; Nicolai El Hindy; Ilonka Kreitschmann-Andermahr; Klaus Peter Stein; Philipp Dammann; Neriman Oezkan; Oliver Mueller; Ulrich Sure; Yuan Zhu
Journal:  BMC Cancer       Date:  2015-10-21       Impact factor: 4.430

10.  DNA methylation profiling to predict overall survival risk in gastric cancer: development and validation of a nomogram to optimize clinical management.

Authors:  Xianxiong Ma; Hengyu Chen; Guobin Wang; Lei Li; Kaixiong Tao
Journal:  J Cancer       Date:  2020-04-27       Impact factor: 4.207

  10 in total

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