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Series GSE116294 Query DataSets for GSE116294
Status Public on Jun 18, 2019
Title Deregulated high expression of NEAT1 lncRNA in multiple myeloma is unrelated to molecular features and clinical outcome
Organism Homo sapiens
Experiment type Expression profiling by array
Non-coding RNA profiling by array
Summary Multiple myeloma (MM) is a malignant proliferation of bone marrow plasma cells, whose pathogenesis remains largely unknown. Long ncRNAs (lncRNAs) are a large class of non-protein-coding RNA, involved in many physiological cellular and genomic processes as well as in carcinogenesis, cancer metastasis and invasion. The biological role and therapeutic potential of lncRNAs in MM are still to be explored. Herein, we investigated the nuclear paraspeckle assembly transcript 1 (NEAT1) in the context of plasma cell dyscrasia, in a cohort of 50 MM and 15 plasma cell leukemia samples. Array expression data indicated that NEAT1 was upregulated in tumor samples compared to four healthy controls. Moreover, in MM patients, NEAT1 was globally overexpressed irrespectively of molecular characteristic, as further supported by Q-RT-PCR validation and by RNA sequencing data in a representative subgroup of cases. The functional annotation of genes and the lncRNAs transcriptional signature associated with NEAT1 expression indicated the modulation of DNA repair and metabolism, dynein interaction and unfolded protein response pathways. We tested NEAT1 clinical relevance in a retrospective proprietary dataset including 55 MM and in the large TT2/TT3 trials cohort from the University of Arkansas encompassing more than 550 patients; in both cases, NEAT1 overexpression was not correlated with patient’s prognosis.
 
Overall design Total RNA samples from highly purified plasma cells of 50 MM cases at onset, 15 plasma cell leukemia and 4 normal controls (purchased from Voden, Medical Instruments IT).
30 MM and 4 N samples in common with GSE109116.
 
Contributor(s) Taiana E, Ronchetti D, Favasuli V, Agnelli L, Todoerti K, Manzoni M, Neri A
Citation(s) 30213829, 32218309, 34638381
https://doi.org/10.3390/jcm10061295
Submission date Jun 26, 2018
Last update date Mar 24, 2022
Contact name Luca Agnelli
E-mail(s) luca.agnelli@istitutotumori.mi.it, luca.agnelli@gmail.com
Phone +390223903581
Organization name IRCCS Istituto Nazionale dei Tumori
Department Department of Advanced Diagnostics
Street address Venezian 1
City MILAN
ZIP/Postal code 20133
Country Italy
 
Platforms (1)
GPL25249 [HuGene-2_0-st] Affymetrix Human Gene 2.0 ST Array [Gene2.0st.lncrna.ENSG.v21.cdf]
Samples (69)
GSM3227604 NORM.1: Normal sample 1
GSM3227605 NORM.2: Normal sample 2
GSM3227606 NORM.3: Normal sample 3
Relations
BioProject PRJNA478041

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE116294_RAW.tar 599.6 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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