Literature DB >> 24816239

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

Lucía López-Corral1, Luis Antonio Corchete2, María Eugenia Sarasquete2, María Victoria Mateos2, Ramón García-Sanz2, Encarna Fermiñán3, Juan-José Lahuerta4, Joan Bladé5, Albert Oriol6, Ana Isabel Teruel7, María Luz Martino8, José Hernández9, Jesús María Hernández-Rivas2, Francisco Javier Burguillo10, Jesús F San Miguel2, Norma C Gutiérrez2.   

Abstract

A multistep model has been proposed of disease progression starting in monoclonal gammopathy of undetermined significance continuing through multiple myeloma, sometimes with an intermediate entity called smoldering myeloma, and ending in extramedullary disease. To gain further insights into the role of the transcriptome deregulation in the transition from a normal plasma cell to a clonal plasma cell, and from an indolent clonal plasma cell to a malignant plasma cell, we performed gene expression profiling in 20 patients with monoclonal gammopathy of undetermined significance, 33 with high-risk smoldering myeloma and 41 with multiple myeloma. The analysis showed that 126 genes were differentially expressed in monoclonal gammopathy of undetermined significance, smoldering myeloma and multiple myeloma as compared to normal plasma cell. Interestingly, 17 and 9 out of the 126 significant differentially expressed genes were small nucleolar RNA molecules and zinc finger proteins. Several proapoptotic genes (AKT1 and AKT2) were down-regulated and antiapoptotic genes (APAF1 and BCL2L1) were up-regulated in multiple myeloma, both symptomatic and asymptomatic, compared to monoclonal gammopathy of undetermined significance. When we looked for those genes progressively modulated through the evolving stages of monoclonal gammopathies, eight snoRNA showed a progressive increase while APAF1, VCAN and MEGF9 exhibited a progressive downregulation. In conclusion, our data show that although monoclonal gammopathy of undetermined significance, smoldering myeloma and multiple myeloma are not clearly distinguishable groups according to their gene expression profiling, several signaling pathways and genes were significantly deregulated at different steps of the transformation process. Copyright© Ferrata Storti Foundation.

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Year:  2014        PMID: 24816239      PMCID: PMC4116836          DOI: 10.3324/haematol.2013.087809

Source DB:  PubMed          Journal:  Haematologica        ISSN: 0390-6078            Impact factor:   9.941


  56 in total

Review 1.  Role of telomeres and telomerase in the pathogenesis of human cancer.

Authors:  William C Hahn
Journal:  J Clin Oncol       Date:  2003-05-15       Impact factor: 44.544

2.  Identification of a functionally impaired positive regulatory domain I binding factor 1 transcription repressor in myeloma cell lines.

Authors:  Ildikó Györy; György Fejér; Nilanjan Ghosh; Ed Seto; Kenneth L Wright
Journal:  J Immunol       Date:  2003-03-15       Impact factor: 5.422

3.  Ribosomal protein L7a gene is up-regulated but not fused to the tyrosine kinase receptor as chimeric trk oncogene in human colorectal carcinoma.

Authors:  Y Wang; D Cheong; S Chan; S C Hooi
Journal:  Int J Oncol       Date:  2000-04       Impact factor: 5.650

4.  Specific small nucleolar RNA expression profiles in acute leukemia.

Authors:  W Valleron; E Laprevotte; E-F Gautier; C Quelen; C Demur; E Delabesse; X Agirre; F Prósper; T Kiss; P Brousset
Journal:  Leukemia       Date:  2012-04-23       Impact factor: 11.528

5.  Monoclonal gammopathy of undetermined significance (MGUS) consistently precedes multiple myeloma: a prospective study.

Authors:  Ola Landgren; Robert A Kyle; Ruth M Pfeiffer; Jerry A Katzmann; Neil E Caporaso; Richard B Hayes; Angela Dispenzieri; Shaji Kumar; Raynell J Clark; Dalsu Baris; Robert Hoover; S Vincent Rajkumar
Journal:  Blood       Date:  2009-01-29       Impact factor: 22.113

6.  Criteria for the classification of monoclonal gammopathies, multiple myeloma and related disorders: a report of the International Myeloma Working Group.

Authors: 
Journal:  Br J Haematol       Date:  2003-06       Impact factor: 6.998

7.  Implication of snoRNA U50 in human breast cancer.

Authors:  Xue-Yuan Dong; Peng Guo; Jeff Boyd; Xiaodong Sun; Qunna Li; Wei Zhou; Jin-Tang Dong
Journal:  J Genet Genomics       Date:  2009-08       Impact factor: 4.275

8.  Progression in smoldering myeloma is independently determined by the chromosomal abnormalities del(17p), t(4;14), gain 1q, hyperdiploidy, and tumor load.

Authors:  Kai Neben; Anna Jauch; Thomas Hielscher; Jens Hillengass; Nicola Lehners; Anja Seckinger; Martin Granzow; Marc S Raab; Anthony D Ho; Hartmut Goldschmidt; Dirk Hose
Journal:  J Clin Oncol       Date:  2013-10-21       Impact factor: 44.544

9.  SNP-based mapping arrays reveal high genomic complexity in monoclonal gammopathies, from MGUS to myeloma status.

Authors:  L López-Corral; M E Sarasquete; S Beà; R García-Sanz; M V Mateos; L A Corchete; J M Sayagués; E M García; J Bladé; A Oriol; M T Hernández-García; P Giraldo; J Hernández; M González; J M Hernández-Rivas; J F San Miguel; N C Gutiérrez
Journal:  Leukemia       Date:  2012-05-08       Impact factor: 11.528

10.  Thymosin beta-10 is aberrantly expressed in pancreatic cancer and induces JNK activation.

Authors:  Min Li; Yuqing Zhang; Qihui Zhai; Louis W Feurino; William E Fisher; Changyi Chen; Qizhi Yao
Journal:  Cancer Invest       Date:  2009-03       Impact factor: 2.176

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  29 in total

Review 1.  Gene Expression Profiles in Myeloma: Ready for the Real World?

Authors:  Raphael Szalat; Herve Avet-Loiseau; Nikhil C Munshi
Journal:  Clin Cancer Res       Date:  2016-11-15       Impact factor: 12.531

2.  The transcriptomic profile of CD138+ cells from patients with early progression from smoldering to active multiple myeloma remains substantially unchanged.

Authors:  Paola Storti; Luca Agnelli; Benedetta Dalla Palma; Katia Todoerti; Valentina Marchica; Fabrizio Accardi; Gabriella Sammarelli; Federica Deluca; Denise Toscani; Federica Costa; Emanuela Vicario; Giannalisa Todaro; Eugenia Martella; Antonino Neri; Nicola Giuliani
Journal:  Haematologica       Date:  2019-03-07       Impact factor: 9.941

Review 3.  MGUS to myeloma: a mysterious gammopathy of underexplored significance.

Authors:  Madhav V Dhodapkar
Journal:  Blood       Date:  2016-10-13       Impact factor: 22.113

4.  Targeting of stromal versican by miR-144/199 inhibits multiple myeloma by downregulating FAK/STAT3 signalling.

Authors:  Nidhi Gupta; Raman Kumar; Tulika Seth; Bhavuk Garg; Alpana Sharma
Journal:  RNA Biol       Date:  2019-09-29       Impact factor: 4.652

Review 5.  Multiple Myeloma and Bone: The Fatal Interaction.

Authors:  Silvia Marino; G David Roodman
Journal:  Cold Spring Harb Perspect Med       Date:  2018-08-01       Impact factor: 6.915

6.  Class IIa HDAC inhibition enhances ER stress-mediated cell death in multiple myeloma.

Authors:  S Kikuchi; R Suzuki; H Ohguchi; Y Yoshida; D Lu; F Cottini; J Jakubikova; G Bianchi; T Harada; G Gorgun; Y-T Tai; P G Richardson; T Hideshima; K C Anderson
Journal:  Leukemia       Date:  2015-03-24       Impact factor: 11.528

7.  In silico analysis identifies CRISP3 as a potential peripheral blood biomarker for multiple myeloma: From data modeling to validation with RT-PCR.

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Journal:  Oncol Lett       Date:  2018-02-06       Impact factor: 2.967

8.  Germline Lysine-Specific Demethylase 1 (LSD1/KDM1A) Mutations Confer Susceptibility to Multiple Myeloma.

Authors:  Xiaomu Wei; M Nieves Calvo-Vidal; Siwei Chen; Gang Wu; Maria V Revuelta; Jian Sun; Jinghui Zhang; Michael F Walsh; Kim E Nichols; Vijai Joseph; Carrie Snyder; Celine M Vachon; James D McKay; Shu-Ping Wang; David S Jayabalan; Lauren M Jacobs; Dina Becirovic; Rosalie G Waller; Mykyta Artomov; Agnes Viale; Jayeshkumar Patel; Jude Phillip; Selina Chen-Kiang; Karen Curtin; Mohamed Salama; Djordje Atanackovic; Ruben Niesvizky; Ola Landgren; Susan L Slager; Lucy A Godley; Jane Churpek; Judy E Garber; Kenneth C Anderson; Mark J Daly; Robert G Roeder; Charles Dumontet; Henry T Lynch; Charles G Mullighan; Nicola J Camp; Kenneth Offit; Robert J Klein; Haiyuan Yu; Leandro Cerchietti; Steven M Lipkin
Journal:  Cancer Res       Date:  2018-03-20       Impact factor: 12.701

9.  Amino acid depletion triggered by ʟ-asparaginase sensitizes MM cells to carfilzomib by inducing mitochondria ROS-mediated cell death.

Authors:  Debora Soncini; Paola Minetto; Claudia Martinuzzi; Pamela Becherini; Valeria Fenu; Fabio Guolo; Katia Todoerti; Giovanni Calice; Paola Contini; Maurizio Miglino; Giulia Rivoli; Sara Aquino; Alida Dominietto; Antonia Cagnetta; Mario Passalacqua; Santina Bruzzone; Alessio Nencioni; Massimo Zucchetti; Tommaso Ceruti; Antonino Neri; Roberto M Lemoli; Michele Cea
Journal:  Blood Adv       Date:  2020-09-22

10.  A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosis.

Authors:  Julie Støve Bødker; Rasmus Froberg Brøndum; Alexander Schmitz; Anna Amanda Schönherz; Ditte Starberg Jespersen; Mads Sønderkær; Charles Vesteghem; Hanne Due; Caroline Holm Nørgaard; Martin Perez-Andres; Mehmet Kemal Samur; Faith Davies; Brian Walker; Charlotte Pawlyn; Martin Kaiser; David Johnson; Uta Bertsch; Annemiek Broyl; Mark van Duin; Rajen Shah; Preben Johansen; Martin Agge Nørgaard; Richard J Samworth; Pieter Sonneveld; Hartmut Goldschmidt; Gareth J Morgan; Alberto Orfao; Nikhil Munshi; Hans Erik Johnson; Tarec El-Galaly; Karen Dybkær; Martin Bøgsted
Journal:  Blood Adv       Date:  2018-09-25
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