scholarly journals Gene expression profiling identifies p63 as a diagnostic marker for giant cell tumor of the bone

2008 ◽  
Vol 21 (5) ◽  
pp. 531-539 ◽  
Author(s):  
Cheng-Han Lee ◽  
Inigo Espinosa ◽  
Kristin C Jensen ◽  
Subbaya Subramanian ◽  
Shirley X Zhu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Giant Cell Tumor ◽  
Giant Cell ◽  
Expression Profiling ◽  
Diagnostic Marker ◽  
Cell Tumor

scholarly journals Gene Expression Profiling in Leiomyosarcomas and Undifferentiated Pleomorphic Sarcomas: SRC as a New Diagnostic Marker

PLoS ONE ◽  
2014 ◽  
Vol 9 (7) ◽  
pp. e102281 ◽  
Author(s):  
Rolando A. R. Villacis ◽  
Sara M. Silveira ◽  
Mateus C. Barros-Filho ◽  
Fabio A. Marchi ◽  
Maria A. C. Domingues ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Diagnostic Marker

scholarly journals Improved diagnosis of idiopathic giant cell myocarditis and cardiac sarcoidosis by myocardial gene expression profiling

2014 ◽  
Vol 35 (32) ◽  
pp. 2186-2195 ◽  
Author(s):  
D. Lassner ◽  
U. Kuhl ◽  
C. S. Siegismund ◽  
M. Rohde ◽  
S. Elezkurtaj ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Giant Cell ◽  
Expression Profiling ◽  
Cardiac Sarcoidosis ◽  
Giant Cell Myocarditis ◽  
Myocardial Gene Expression

Gene expression disparity in giant cell tumor of bone

2009 ◽  
Vol 3 (1) ◽  
pp. 49-56
Author(s):  
Xiaohua Pan ◽  
Shuhua Yang ◽  
Deming Xiao ◽  
Yong Dai ◽  
Lili Ren
Keyword(s):  
Gene Expression ◽  
Giant Cell Tumor ◽  
Giant Cell ◽  
Cell Tumor

Differential gene expression in stromal cells of human giant cell tumor of bone

2004 ◽  
Vol 445 (6) ◽  
pp. 621-630 ◽  
Author(s):  
M. Wuelling ◽  
G. Delling ◽  
E. Kaiser
Keyword(s):  
Gene Expression ◽  
Giant Cell Tumor ◽  
Giant Cell ◽  
Differential Gene Expression ◽  
Stromal Cells ◽  
Cell Tumor ◽  
Differential Gene

scholarly journals Evaluation of Myocardial Gene Expression Profiling for Superior Diagnosis of Idiopathic Giant-Cell Myocarditis and Clinical Feasibility in a Large Cohort of Patients with Acute Cardiac Decompensation

2020 ◽  
Vol 9 (9) ◽  
pp. 2689
Author(s):  
Felicitas Escher ◽  
Heiko Pietsch ◽  
Ganna Aleshcheva ◽  
Philip Wenzel ◽  
Friedrich Fruhwald ◽  
...  
Keyword(s):  
Gene Expression ◽  
Clinical Practice ◽  
Gene Expression Profiling ◽  
Giant Cell ◽  
Expression Profiling ◽  
Sampling Error ◽  
Gene Profiling ◽  
Giant Cell Myocarditis ◽  
Cardiac Decompensation ◽  
Myocardial Gene Expression

Aims: The diagnostic approach to idiopathic giant-cell myocarditis (IGCM) is based on identifying various patterns of inflammatory cell infiltration and multinucleated giant cells (GCs) in histologic sections taken from endomyocardial biopsies (EMBs). The sampling error for detecting focally located GCs by histopathology is high, however. The aim of this study was to demonstrate the feasibility of gene profiling as a new diagnostic method in clinical practice, namely in a large cohort of patients suffering from acute cardiac decompensation. Methods and Results: In this retrospective multicenter study, EMBs taken from n = 427 patients with clinically acute cardiac decompensation and suspected acute myocarditis were screened (mean age: 47.03 ± 15.69 years). In each patient, the EMBs were analyzed on the basis of histology, immunohistology, molecular virology, and gene-expression profiling. Out of the total of n = 427 patient samples examined, GCs could be detected in 26 cases (6.1%) by histology. An established myocardial gene profile consisting of 27 genes was revealed; this was narrowed down to a specified profile of five genes (CPT1, CCL20, CCR5, CCR6, TLR8) which serve to identify histologically proven IGCM with high specificity in 25 of the 26 patients (96.2%). Once this newly established profiling approach was applied to the remaining patient samples, an additional n = 31 patients (7.3%) could be identified as having IGCM without any histologic proof of myocardial GCs. In a subgroup analysis, patients diagnosed with IGCM using this gene profiling respond in a similar fashion to immunosuppressive therapy as patients diagnosed with IGCM by conventional histology alone. Conclusions: Myocardial gene-expression profiling is a promising new method in clinical practice, one which can predict IGCM even in the absence of any direct histologic proof of GCs in EMB sections. Gene profiling is of great clinical relevance in terms of (a) overcoming the sampling error associated with purely histologic examinations and (b) monitoring the effectiveness of therapy.

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