scholarly journals Gene Expression Signature–Based Prognostic Risk Score in Patients with Primary Central Nervous System Lymphoma

2014 ◽  
Vol 25 ◽  
pp. v58
Author(s):  
Ryuya Yamanaka ◽  
Atsushi Kawaguchi ◽  
Yasuo Iwadate ◽  
Yoshihiro Komohara ◽  
Koji Kajiwara ◽  
...  
2012 ◽  
Vol 18 (20) ◽  
pp. 5672-5681 ◽  
Author(s):  
Atsushi Kawaguchi ◽  
Yasuo Iwadate ◽  
Yoshihiro Komohara ◽  
Masakazu Sano ◽  
Koji Kajiwara ◽  
...  

Blood ◽  
2008 ◽  
Vol 111 (6) ◽  
pp. 3200-3210 ◽  
Author(s):  
Han W. Tun ◽  
David Personett ◽  
Karen A. Baskerville ◽  
David M. Menke ◽  
Kurt A. Jaeckle ◽  
...  

Abstract Primary central nervous system (CNS) lymphoma (PCNSL) is a diffuse large B-cell lymphoma (DLBCL) confined to the CNS. A genome-wide gene expression comparison between PCNSL and non-CNS DLBCL was performed, the latter consisting of both nodal and extranodal DLBCL (nDLBCL and enDLBCL), to identify a “CNS signature.” Pathway analysis with the program SigPathway revealed that PCNSL is characterized notably by significant differential expression of multiple extracellular matrix (ECM) and adhesion-related pathways. The most significantly up-regulated gene is the ECM-related osteopontin (SPP1). Expression at the protein level of ECM-related SPP1 and CHI3L1 in PCNSL cells was demonstrated by immunohistochemistry. The alterations in gene expression can be interpreted within several biologic contexts with implications for PCNSL, including CNS tropism (ECM and adhesion-related pathways, SPP1, DDR1), B-cell migration (CXCL13, SPP1), activated B-cell subtype (MUM1), lymphoproliferation (SPP1, TCL1A, CHI3L1), aggressive clinical behavior (SPP1, CHI3L1, MUM1), and aggressive metastatic cancer phenotype (SPP1, CHI3L1). The gene expression signature discovered in our study may represent a true “CNS signature” because we contrasted PCNSL with wide-spectrum non-CNS DLBCL on a genomic scale and performed an in-depth bioinformatic analysis.


Molecules ◽  
2020 ◽  
Vol 25 (12) ◽  
pp. 2776
Author(s):  
Xiguang Qi ◽  
Mingzhe Shen ◽  
Peihao Fan ◽  
Xiaojiang Guo ◽  
Tianqi Wang ◽  
...  

A gene expression signature (GES) is a group of genes that shows a unique expression profile as a result of perturbations by drugs, genetic modification or diseases on the transcriptional machinery. The comparisons between GES profiles have been used to investigate the relationships between drugs, their targets and diseases with quite a few successful cases reported. Especially in the study of GES-guided drugs–disease associations, researchers believe that if a GES induced by a drug is opposite to a GES induced by a disease, the drug may have potential as a treatment of that disease. In this study, we data-mined the crowd extracted expression of differential signatures (CREEDS) database to evaluate the similarity between GES profiles from drugs and their indicated diseases. Our study aims to explore the application domains of GES-guided drug–disease associations through the analysis of the similarity of GES profiles on known pairs of drug–disease associations, thereby identifying subgroups of drugs/diseases that are suitable for GES-guided drug repositioning approaches. Our results supported our hypothesis that the GES-guided drug–disease association method is better suited for some subgroups or pathways such as drugs and diseases associated with the immune system, diseases of the nervous system, non-chemotherapy drugs or the mTOR signaling pathway.


2013 ◽  
Vol 104 (9) ◽  
pp. 1205-1210 ◽  
Author(s):  
Atsushi Kawaguchi ◽  
Naoki Yajima ◽  
Naoto Tsuchiya ◽  
Jumpei Homma ◽  
Masakazu Sano ◽  
...  

2011 ◽  
Vol 17 (7) ◽  
pp. 1850-1857 ◽  
Author(s):  
Jae Yong Cho ◽  
Jae Yun Lim ◽  
Jae Ho Cheong ◽  
Yun-Yong Park ◽  
Se-Lyun Yoon ◽  
...  

Blood ◽  
2009 ◽  
Vol 113 (1) ◽  
pp. 266-267 ◽  
Author(s):  
James L. Rubenstein ◽  
Arthur Shen ◽  
Tracy T. Batchelor ◽  
Cigall Kadoch ◽  
Patrick Treseler ◽  
...  

Author(s):  
W.C. Chen ◽  
H. Vasudevan ◽  
A. Choudhury ◽  
C.H. Lucas ◽  
S. Magill ◽  
...  

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 2847-2847
Author(s):  
Alanna Maguire ◽  
Talal Hilal ◽  
Xianfeng Chen ◽  
Allison C. Rosenthal ◽  
Lisa M. Rimsza

Abstract Introduction: Primary central nervous system lymphoma (PCNSL) is a rare intracranial lymphoma that accounts for less than 1% of all non-Hodgkins lymphomas and 3% of all brain tumors. Histopathologically, approximately 90% of PCNSL cases are categorized as a diffuse large B-Cell lymphoma (DLBCL). DLBCL malignancies are subdivided by Cell of Origin (COO), with the vast majority of PCNSL categorized as non-germinal center B cell (non-GCB) by immunohistochemistry. Gene expression profiling (GEP), however, has shown that immunohistochemically defined non-GCB resolves into two distinct subtypes, namely activated B-cell (ABC) and unclassified (UNC) subtypes. Using the Lymph2Cx molecular COO subtyping assay, we have found that 91% of PCNSL are ABC (unpublished data). Unlike systemic-DLBCL, PCNSL is largely confined to and rarely metastasizes outside of the immune privileged central nervous system. Despite this, PCNSL is one of the most aggressive forms of DLBCL. Given the immune privileged milieu in which PCNSL arises, we hypothesized that this milieu elicits a transcriptional profile that contributes to the enhanced aggressive nature of PCNSL compared to systemic-DLBCL. To investigate this hypothesis, this study assessed the gene expression differences between ABC-PCNSL and ABC-systemic-DLBCL, in order to identify novel players in the pathogenesis of ABC-PCNSL. Methods: A total of 35 HIV negative samples, with proven ABC-subtype COO as per the GEP Lymph2Cx assay, were employed; including 10 ABC systemic-DLBCL and 25 primary ABC PCNSL cases with no concurrent or prior history of systemic DLBCL. Samples were reviewed by a hematopathologist to confirm diagnoses and determine tumor content. Samples with <60% tumor content were macro-dissected before nucleic acid extraction, which was performed using the Qiagen AllPrep DNA/RNA FFPE Kit. Extracted DNA and RNA were quantified using the Qubit HS-kit and NanoDrop respectively. Digital gene expression technology was used to perform the PanCancer Pathways panel (NanoString, Seattle, WA). Differential gene expression analysis was performed using the NanoString specific statistical method NanoStringDiff. Identified gene sets were analyzed using the online Gene Set Enrichment Analysis (GSEA) Molecular Signatures Database (MSigDB). Results: Of the 739 cancer related genes targeted by the PanCancer panel, 256 were found to be significantly differentially expressed in the ABC-PCNSL cohort compared to the ABC-DLBCL cohort (p<0.05). Fifty six genes were upregulated and 200 were downregulated. With a 4.9 fold change, the most significantly overexpressed gene was FGF1 (p=4.7E-11). FGF1 encodes a primary ligand for the fibroblast growth factor receptors (FGFR) -1, -2, -3 and -4; of which, FGFR2 (p=1.0E-7) and FGFR3 (p=0.003) were also significantly overexpressed. Moreover, MSigDB identified the FGF signaling pathway as enriched in the upregulated gene set (5 genes, p=7.4E-9, FDR=6.6E-7). FGFRs are a family of receptors that activate known mitogenic signaling pathways including MAPK signaling, which MSigDB identified as the most enriched pathway in the upregulated gene set (14 genes, p=1.65E-19, FDR=2.2E-16). MSigDB analysis of the 200 down regulated genes revealed that 5 of the top 20 enriched signaling pathways were immune related and included Signaling by interleukins (26 genes, p=2.9E-38, FDR=3.2E-36), Immune cytokine signaling (31 genes, p=1.1 E-34, FDR=1.1E-32), chemokine signaling (28 genes, p=1.5E-34, FDR=1.4E-32), T-cell receptor signaling (24 genes, p=2.4E-34, FDR=1.9E-32) and Toll-like receptor signaling (23 genes, p=4.1E-33, FDR=3.0E-31). Conclusions: We show, for the first time, that ABC-PCNSL and ABC-systemic-DLBCL possess significantly different transcriptional profiles despite identical, molecularly determined, COO status. A principle difference between these DLBCL malignancies is their anatomical location related immune privilege status which is reflected as reduced immune related signaling in the CNS-DLBCL cohort and may have important mitogenic signaling implications. Indeed, the results suggest that the enhanced aggressive nature of PCNSL compared to systemic-DLBCL is mediated, at least in part, by enhanced FGF signaling; a pathway with known roles in cell survival and proliferation. Disclosures Rimsza: NanoString: Other: Inventor on the patent for the Lymph2Cx assay.


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