Literature DB >> 18337559

An analysis of the clinical and biologic significance of TP53 loss and the identification of potential novel transcriptional targets of TP53 in multiple myeloma.

Wei Xiong1, Xiaosong Wu, Sarah Starnes, Sarah K Johnson, Jeff Haessler, Siqing Wang, Lijuan Chen, Bart Barlogie, John D Shaughnessy, Fenghuang Zhan.   

Abstract

TP53 is a tumor suppressor gene that functions as transcriptional regulator influencing cellular responses to DNA damage. Here we explored the clinical and transcriptional effects of TP53 expression in multiple myeloma (MM). We found that low expression of TP53, seen in approximately 10% of newly diagnosed patients, is highly correlated with TP53 deletion, an inferior clinical outcome, and represents an independent risk factor. Analysis of the expression of 122 known TP53 target genes in TP53-high vs -low MM cells from 351 newly diagnosed cases, revealed that only a few were highly correlated with TP53 expression. To elucidate TP53 regulatory networks in MM, we overexpressed TP53 in 4 MM cell lines. Gene expression profiling of these cell lines detected 85 significantly differentially expressed genes, with 50 up-regulated and 35 down-regulated. Unsupervised hierarchical clustering of myeloma samples from 351 newly diagnosed and 90 relapsed patients using the 85 putative TP53 target genes revealed 2 major subgroups showing a strong correlation with TP53 expression and survival. These data suggest that loss of TP53 expression in MM confers high risk and probably results in the deregulation of a novel set of MM-specific TP53-target genes. TP53 target gene specificity may be unique to different cell lineages.

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Year:  2008        PMID: 18337559      PMCID: PMC2581979          DOI: 10.1182/blood-2007-10-119123

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  47 in total

1.  Global gene expression profiling of multiple myeloma, monoclonal gammopathy of undetermined significance, and normal bone marrow plasma cells.

Authors:  Fenghuang Zhan; Johanna Hardin; Bob Kordsmeier; Klaus Bumm; Mingzhong Zheng; Erming Tian; Ralph Sanderson; Yang Yang; Carla Wilson; Maurizio Zangari; Elias Anaissie; Christopher Morris; Firas Muwalla; Frits van Rhee; Athanasios Fassas; John Crowley; Guido Tricot; Bart Barlogie; John Shaughnessy
Journal:  Blood       Date:  2002-03-01       Impact factor: 22.113

2.  A possible role of the P53 gene deletion as a prognostic factor in multiple myeloma.

Authors:  M M Ortega; M B Melo; C A De Souza; I Lorand-Metze; F F Costa; C S P Lima
Journal:  Ann Hematol       Date:  2003-05-29       Impact factor: 3.673

3.  Involvement of Notch-1 signaling in bone marrow stroma-mediated de novo drug resistance of myeloma and other malignant lymphoid cell lines.

Authors:  Yulia Nefedova; Pingyan Cheng; Melissa Alsina; William S Dalton; Dmitry I Gabrilovich
Journal:  Blood       Date:  2003-12-11       Impact factor: 22.113

4.  Continuous absence of metaphase-defined cytogenetic abnormalities, especially of chromosome 13 and hypodiploidy, ensures long-term survival in multiple myeloma treated with Total Therapy I: interpretation in the context of global gene expression.

Authors:  John Shaughnessy; Joth Jacobson; Jeff Sawyer; Jason McCoy; Athanasios Fassas; Fenghuang Zhan; Klaus Bumm; Joshua Epstein; Elias Anaissie; Sundar Jagannath; David Vesole; David Siegel; Raman Desikan; Nikhil Munshi; Ashraf Badros; Erming Tian; Maurizio Zangari; Guido Tricot; John Crowley; Bart Barlogie
Journal:  Blood       Date:  2003-01-16       Impact factor: 22.113

5.  p53-regulated transcriptional program associated with genotoxic stress-induced apoptosis.

Authors:  Patricia S Kho; Zhen Wang; Li Zhuang; Yuqing Li; Joon-Lin Chew; Huck-Hui Ng; Edison T Liu; Qiang Yu
Journal:  J Biol Chem       Date:  2004-03-11       Impact factor: 5.157

6.  Unbiased mapping of transcription factor binding sites along human chromosomes 21 and 22 points to widespread regulation of noncoding RNAs.

Authors:  Simon Cawley; Stefan Bekiranov; Huck H Ng; Philipp Kapranov; Edward A Sekinger; Dione Kampa; Antonio Piccolboni; Victor Sementchenko; Jill Cheng; Alan J Williams; Raymond Wheeler; Brant Wong; Jorg Drenkow; Mark Yamanaka; Sandeep Patel; Shane Brubaker; Hari Tammana; Gregg Helt; Kevin Struhl; Thomas R Gingeras
Journal:  Cell       Date:  2004-02-20       Impact factor: 41.582

7.  RFP2, c13ORF1, and FAM10A4 are the most likely tumor suppressor gene candidates for B-cell chronic lymphocytic leukemia.

Authors:  W J van Everdink; A Baranova; C Lummen; T Tyazhelova; M W G Looman; D Ivanov; E Verlind; A Pestova; H Faber; A Y van der Veen; N Yankovsky; E Vellenga; C H C M Buys
Journal:  Cancer Genet Cytogenet       Date:  2003-10-01

8.  Human wig-1, a p53 target gene that encodes a growth inhibitory zinc finger protein.

Authors:  F Hellborg; W Qian; C Mendez-Vidal; C Asker; M Kost-Alimova; M Wilhelm; S Imreh; K G Wiman
Journal:  Oncogene       Date:  2001-09-06       Impact factor: 9.867

9.  Notch1 signaling inhibits growth of human hepatocellular carcinoma through induction of cell cycle arrest and apoptosis.

Authors:  Runzi Qi; Huazhang An; Yizhi Yu; Minghui Zhang; Shuxun Liu; Hongmei Xu; Zhenghong Guo; Tao Cheng; Xuetao Cao
Journal:  Cancer Res       Date:  2003-12-01       Impact factor: 12.701

10.  The role of the Wnt-signaling antagonist DKK1 in the development of osteolytic lesions in multiple myeloma.

Authors:  Erming Tian; Fenghuang Zhan; Ronald Walker; Erik Rasmussen; Yupo Ma; Bart Barlogie; John D Shaughnessy
Journal:  N Engl J Med       Date:  2003-12-25       Impact factor: 91.245

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  69 in total

1.  Total Therapy 3 for multiple myeloma: prognostic implications of cumulative dosing and premature discontinuation of VTD maintenance components, bortezomib, thalidomide, and dexamethasone, relevant to all phases of therapy.

Authors:  Frits van Rhee; Jackie Szymonifka; Elias Anaissie; Bijay Nair; Sarah Waheed; Yazan Alsayed; Nathan Petty; John D Shaughnessy; Antje Hoering; John Crowley; Bart Barlogie
Journal:  Blood       Date:  2010-05-25       Impact factor: 22.113

2.  Integrating ChIP-sequencing and digital gene expression profiling to identify BRD7 downstream genes and construct their regulating network.

Authors:  Ke Xu; Wei Xiong; Ming Zhou; Heran Wang; Jing Yang; Xiayu Li; Pan Chen; Qianjin Liao; Hao Deng; Xiaoling Li; Guiyuan Li; Zhaoyang Zeng
Journal:  Mol Cell Biochem       Date:  2015-09-25       Impact factor: 3.396

3.  An integrative transcriptomic analysis reveals p53 regulated miRNA, mRNA, and lncRNA networks in nasopharyngeal carcinoma.

Authors:  Zhaojian Gong; Qian Yang; Zhaoyang Zeng; Wenling Zhang; Xiayu Li; Xuyu Zu; Hao Deng; Pan Chen; Qianjin Liao; Bo Xiang; Ming Zhou; Xiaoling Li; Yong Li; Wei Xiong; Guiyuan Li
Journal:  Tumour Biol       Date:  2015-10-13

Review 4.  The use of molecular-based risk stratification and pharmacogenomics for outcome prediction and personalized therapeutic management of multiple myeloma.

Authors:  Sarah K Johnson; Christoph J Heuck; Anthony P Albino; Pingping Qu; Qing Zhang; Bart Barlogie; John D Shaughnessy
Journal:  Int J Hematol       Date:  2011-10-15       Impact factor: 2.490

5.  Gene expression profiling of plasma cells at myeloma relapse from tandem transplantation trial Total Therapy 2 predicts subsequent survival.

Authors:  Bijay Nair; John D Shaughnessy; Yiming Zhou; Marie Astrid-Cartron; Pingping Qu; Frits van Rhee; Elias Anaissie; Yazan Alsayed; Sarah Waheed; Klaus Hollmig; Jackie Szymonifka; Nathan Petty; Antje Hoering; Bart Barlogie
Journal:  Blood       Date:  2009-04-23       Impact factor: 22.113

6.  NEDD8 Inhibition Overcomes CKS1B-Induced Drug Resistance by Upregulation of p21 in Multiple Myeloma.

Authors:  Junwei Huang; Yi Zhou; Gregory S Thomas; Zhimin Gu; Ye Yang; Hongwei Xu; Guido Tricot; Fenghuang Zhan
Journal:  Clin Cancer Res       Date:  2015-07-08       Impact factor: 12.531

7.  NEK2 induces drug resistance mainly through activation of efflux drug pumps and is associated with poor prognosis in myeloma and other cancers.

Authors:  Wen Zhou; Ye Yang; Jiliang Xia; He Wang; Mohamed E Salama; Wei Xiong; Hongwei Xu; Shashirekha Shetty; Tiehua Chen; Zhaoyang Zeng; Lei Shi; Maurizio Zangari; Rodney Miles; David Bearss; Guido Tricot; Fenghuang Zhan
Journal:  Cancer Cell       Date:  2013-01-14       Impact factor: 31.743

8.  Transcriptome analysis reveals molecular profiles associated with evolving steps of monoclonal gammopathies.

Authors:  Lucía López-Corral; Luis Antonio Corchete; María Eugenia Sarasquete; María Victoria Mateos; Ramón García-Sanz; Encarna Fermiñán; Juan-José Lahuerta; Joan Bladé; Albert Oriol; Ana Isabel Teruel; María Luz Martino; José Hernández; Jesús María Hernández-Rivas; Francisco Javier Burguillo; Jesús F San Miguel; Norma C Gutiérrez
Journal:  Haematologica       Date:  2014-05-09       Impact factor: 9.941

9.  Identification of early growth response protein 1 (EGR-1) as a novel target for JUN-induced apoptosis in multiple myeloma.

Authors:  Lijuan Chen; Siqing Wang; Yiming Zhou; Xiaosong Wu; Igor Entin; Joshua Epstein; Shmuel Yaccoby; Wei Xiong; Bart Barlogie; John D Shaughnessy; Fenghuang Zhan
Journal:  Blood       Date:  2009-10-16       Impact factor: 22.113

10.  Over-expression of CKS1B activates both MEK/ERK and JAK/STAT3 signaling pathways and promotes myeloma cell drug-resistance.

Authors:  Lei Shi; Siqing Wang; Maurizio Zangari; Hongwei Xu; Thai M Cao; Chunjiao Xu; Yong Wu; Fang Xiao; Yinghong Liu; Ye Yang; Mohamed Salama; Guiyuan Li; Guido Tricot; Fenghuang Zhan
Journal:  Oncotarget       Date:  2010-05
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