Literature DB >> 34127725

Meta-analysis of gene signatures and key pathways indicates suppression of JNK pathway as a regulator of chemo-resistance in AML.

Parastoo Modarres1, Farzaneh Mohamadi Farsani1,2, Amir Abas Nekouie3, Sadeq Vallian4.   

Abstract

The pathways and robust deregulated gene signatures involved in AML chemo-resistance are not fully understood. Multiple subgroups of AMLs which are under treatment of various regimens seem to have similar regulatory gene(s) or pathway(s) related to their chemo-resistance phenotype. In this study using gene set enrichment approach, deregulated genes and pathways associated with relapse after chemotherapy were investigated in AML samples. Five AML libraries compiled from GEO and ArrayExpress repositories were used to identify significantly differentially expressed genes between chemo-resistance and chemo-sensitive groups. Functional and pathway enrichment analysis of differentially expressed genes was performed to assess molecular mechanisms related to AML chemotherapeutic resistance. A total of 34 genes selected to be differentially expressed in the chemo-resistance compared to the chemo-sensitive group. Among the genes selected, c-Jun, AKT3, ARAP3, GABBR1, PELI2 and SORT1 are involved in neurotrophin, estrogen, cAMP and Toll-like receptor signaling pathways. All these pathways are located upstream and regulate JNK signaling pathway which functions as a key regulator of cellular apoptosis. Our expression data are in favor of suppression of JNK pathway, which could induce pro-apoptotic gene expression as well as down regulation of survival factors, introducing this pathway as a key regulator of drug-resistance development in AML.

Entities:  

Year:  2021        PMID: 34127725     DOI: 10.1038/s41598-021-91864-2

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  45 in total

Review 1.  CD33-directed therapy with gemtuzumab ozogamicin in acute myeloid leukemia: progress in understanding cytotoxicity and potential mechanisms of drug resistance.

Authors:  M L Linenberger
Journal:  Leukemia       Date:  2005-02       Impact factor: 11.528

Review 2.  Trk receptors: mediators of neurotrophin action.

Authors:  A Patapoutian; L F Reichardt
Journal:  Curr Opin Neurobiol       Date:  2001-06       Impact factor: 6.627

3.  A historical perspective on the development of the cytarabine (7days) and daunorubicin (3days) treatment regimen for acute myelogenous leukemia: 2013 the 40th anniversary of 7+3.

Authors:  Marshall A Lichtman
Journal:  Blood Cells Mol Dis       Date:  2012-11-12       Impact factor: 3.039

Review 4.  DNA-damaging agents in cancer chemotherapy: serendipity and chemical biology.

Authors:  Kahlin Cheung-Ong; Guri Giaever; Corey Nislow
Journal:  Chem Biol       Date:  2013-05-23

Review 5.  The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia.

Authors:  Daniel A Arber; Attilio Orazi; Robert Hasserjian; Jürgen Thiele; Michael J Borowitz; Michelle M Le Beau; Clara D Bloomfield; Mario Cazzola; James W Vardiman
Journal:  Blood       Date:  2016-04-11       Impact factor: 22.113

6.  Cytarabine plus idarubicin or daunorubicin as induction and consolidation therapy for previously untreated adult patients with acute myeloid leukemia.

Authors:  P H Wiernik; P L Banks; D C Case; Z A Arlin; P O Periman; M B Todd; P S Ritch; R E Enck; A B Weitberg
Journal:  Blood       Date:  1992-01-15       Impact factor: 22.113

Review 7.  Neurotrophin signaling in cancer stem cells.

Authors:  Valérie Chopin; Chann Lagadec; Robert-Alain Toillon; Xuefen Le Bourhis
Journal:  Cell Mol Life Sci       Date:  2016-02-17       Impact factor: 9.261

8.  Obatoclax potentiates the cytotoxic effect of cytarabine on acute myeloid leukemia cells by enhancing DNA damage.

Authors:  Chengzhi Xie; Holly Edwards; J Timothy Caldwell; Guan Wang; Jeffrey W Taub; Yubin Ge
Journal:  Mol Oncol       Date:  2014-10-02       Impact factor: 6.603

Review 9.  Mechanisms of drug resistance in acute myeloid leukemia.

Authors:  Jing Zhang; Yan Gu; Baoan Chen
Journal:  Onco Targets Ther       Date:  2019-03-11       Impact factor: 4.147

Review 10.  Acute Myeloid Leukemia and the Bone Marrow Niche-Take a Closer Look.

Authors:  Lena Behrmann; Jasmin Wellbrock; Walter Fiedler
Journal:  Front Oncol       Date:  2018-10-12       Impact factor: 6.244

View more
  1 in total

1.  A six-gene prognostic signature for both adult and pediatric acute myeloid leukemia identified with machine learning.

Authors:  Zhenqiu Liu; Irina Elcheva
Journal:  Am J Transl Res       Date:  2022-09-15       Impact factor: 3.940

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.