Bioinformatic gene expression analysis demonstrates a limited number of multiple myeloma specific therapeutic targets

2021 ◽  
pp. 1-6
Author(s):  
Murari Ramesh ◽  
James Favaloro ◽  
Christian Bryant ◽  
Phoebe Joy Ho ◽  
Edward Abadir
Neoplasma ◽  
2015 ◽  
Vol 62 (05) ◽  
pp. 733-739 ◽  
Author(s):  
L. QUAN ◽  
J. SHI ◽  
Y. TIAN ◽  
Q. ZHANG ◽  
Y. ZHANG ◽  
...  

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 395-395 ◽  
Author(s):  
Matthew W. Jenner ◽  
Gonzalez David ◽  
Paola E. Leone ◽  
Brian A. Walker ◽  
David C. Johnson ◽  
...  

Abstract We have previously shown that integration of gene expression and SNP based mapping arrays can identify genes dysregulated as a result of copy number loss and gain in multiple myeloma. Using FISH, it has been possible to identify that gain and loss frequently occurs in association with primary IgH translocations, such as loss of FGFR3 and gain of CCND1 in a proportion of t(4;14) and t(11;14) cases. The aim of this study was to determine the frequency and size of such copy number change associated with IgH translocations and to identify the genes dysregulated as a consequence of these. FISH was performed on CD138 selected plasma cells from 80 newly diagnosed myeloma cases to identify cases with primary IgH translocations. Affymetrix 500K mapping arrays were used to determine copy number change using paired tumor and constitutional DNA and Affymetrix U133 plus 2.0 expression arrays were used to determine global gene expression. Samples were analyzed in dChip and CNAG. Thirty eight of 80 cases (47.5%) had primary IgH translocations: 7 t(4;14), 1 t(6;14), 16 t(11;14), 3 t(14;16), 2 t(14;20) and 9 with an unknown translocation partner. Of 29 cases with a known translocation partner, 11 had gain or loss of all or part of the derivative chromosome. Three of 7 t(4;14) cases had loss of FGFR3 by FISH, confirmed by mapping array as being due to deletion of the derivative 14, with loss of 4p16.3-pter and the remainder of chromosome 14 excluding IgH. The region on 4p commenced at FGFR3 and extended to the telomere. Gene expression analysis showed that there was underexpression of FGFR3 and 4 other genes in the deleted region in the 4p16 deleted cases. In 6 of 16 t(11;14) cases, the translocation was associated with an additional copy of CCND1 by FISH. Mapping arrays revealed in all cases the gain commenced at the presumed translocation breakpoint: in 4 cases there was gain of 11q13.3-qter and in 2 there was gain of a small region of 11q13 only. In most cases there was isolated gain of a variable sized region of 14q32 suggesting a sequence whereby translocation was followed by gain then by deletion of a portion of the derivative chromosome. Gene expression analysis identified 4 genes overexpressed on 11q in t(11;14) cases with 11q gain. In a single t(6;14) case there was a complex rearrangement involving gain of 6p21.1-pter and IgH with loss of the derivative 6, again suggesting translocation followed by gain then loss. In one t(14;16) case there was UPD of 16q except for 16q23-qter with associated gain of IgH alone. This complex pattern suggests a sequence whereby deletion is followed by IgH translocation then by duplication of the untranslocated 16q. This study has shown that loss and gain of translocated regions is a frequent occurrence, present in 11/29 cases with known IgH translocations. Using mapping arrays it is possible to demonstrate that in the majority of cases, the translocation is the initial event, followed by subsequent gain or loss as a later event. We have shown the variable size of these regions and have identified genes dysregulated as a result of the deletions of 4p in t(4;14) cases and gains of 11q in t(11;14) cases. These findings provide evidence of collaborating mechanisms that may be responsible for disease progression in these cases.


2021 ◽  
Author(s):  
Hisao Higo ◽  
Kadoaki Ohashi ◽  
Shuta Tomida ◽  
Sachi Okawa ◽  
Hiromasa Yamamoto ◽  
...  

Abstract Background: Tyrosine kinase activation plays an important role in the progression of pulmonary fibrosis. In this study, we analyzed the expression of 612 kinase-coding and cancer-related genes using next-generation sequencing to identify potential therapeutic targets for idiopathic pulmonary fibrosis (IPF).Methods: Thirteen samples from five patients with IPF (Cases 1-5) and eight samples from four patients without IPF (control) were included in this study. Six of the thirteen samples were obtained from different lung segments of a single patient who underwent bilateral pneumonectomy. Gene expression analysis of IPF lung tissue samples (n=13) and control samples (n=8) was performed using SureSelect RNA Human Kinome Kit. The expression of the selected genes was further confirmed at the protein level by immunohistochemistry (IHC).Results: Gene expression analysis revealed a correlation between the gene expression signatures and the degree of fibrosis, as assessed by Ashcroft score. In addition, the expression analysis indicated a stronger heterogeneity among the IPF lung samples than among the control lung samples. In the integrated analysis of the 21 samples, DCLK1 and STK33 were found to be upregulated in IPF lung samples compared to control lung samples. However, the top most upregulated genes were distinct in individual cases. DCLK1, PDK4, and ERBB4 were upregulated in IPF case 1, whereas STK33, PIM2, and SYK were upregulated in IPF case 2. IHC revealed that these proteins were expressed in the epithelial layer of the fibrotic lesions.Conclusions: We performed a comprehensive kinase expression analysis to explore the potential therapeutic targets for IPF. DCLK1 and STK33 can serve as potential candidate targets for molecular targeted therapy of IPF. In addition, PDK4, ERBB4, PIM2, and SYK may serve as personalized therapeutic targets of IPF.


2012 ◽  
Author(s):  
Carolina Terragna ◽  
Marina Martello ◽  
Giovanni Martinelli ◽  
Sandra Durante ◽  
Lucia Pantani ◽  
...  

2009 ◽  
Vol 174 (3) ◽  
pp. 762-770 ◽  
Author(s):  
Solange Romagnoli ◽  
Ester Fasoli ◽  
Valentina Vaira ◽  
Monica Falleni ◽  
Caterina Pellegrini ◽  
...  

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