scholarly journals MicroRNA expression profiling of carcinoma in situ cells of the testis

2012 ◽  
Vol 19 (3) ◽  
pp. 365-379 ◽  
Author(s):  
Guy Wayne Novotny ◽  
Kirstine C Belling ◽  
Jesper Bertram Bramsen ◽  
John E Nielsen ◽  
Jette Bork-Jensen ◽  
...  
Keyword(s):  
Germ Cell ◽  
Mirna Expression ◽  
Expression Profiles ◽  
Mirna Expression Profile ◽  
Human Testis ◽  
Germ Cell Tumours ◽  
Testicular Germ Cell ◽  
Adult Testis ◽  
Mirna Expression Profiles

Testicular germ cell tumours, seminoma (SE) and non-seminoma (NS), of young adult men develop from a precursor cell, carcinomain situ(CIS), which resembles foetal gonocytes and retains embryonic pluripotency. We used microarrays to analyse microRNA (miRNA) expression in 12 human testis samples with CIS cells and compared it with miRNA expression profiles of normal adult testis, testis with Sertoli-cell-only that lacks germ cells, testis tumours (SE and embryonal carcinoma (EC), an undifferentiated component of NS) and foetal male and female gonads. Principal components analysis revealed distinct miRNA expression profiles characteristic for each of the different tissue types. We identified several miRNAs that were unique to testis with CIS cells, foetal gonads and testis tumours. These included miRNAs from the hsa-miR-371–373 and -302–367 clusters that have previously been reported in germ cell tumours and three miRNAs (hsa-miR-96, -141 and -200c) that were also expressed in human epididymis. We found several miRNAs that were upregulated in testis tumours: hsa-miR-9, -105 and -182–183–96 clusters were highly expressed in SE, while the hsa-miR-515–526 cluster was high in EC. We conclude that the miRNA expression profile changes during testis development and that the miRNA profile of adult testis with CIS cells shares characteristic similarities with the expression in foetal gonocytes.

scholarly journals MicroRNA expression patterns associated with hyperfunctioning and non-hyperfunctioning phenotypes in adrenocortical adenomas

2014 ◽  
Vol 170 (4) ◽  
pp. 583-591 ◽  
Author(s):  
David Velázquez-Fernández ◽  
Stefano Caramuta ◽  
Deniz M Özata ◽  
Ming Lu ◽  
Anders Höög ◽  
...  
Keyword(s):  
Mirna Expression ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Gene Mutations ◽  
Mirna Expression Profile ◽  
Differentially Expressed ◽  
Adrenocortical Adenoma ◽  
Tumor Subtypes ◽  
Mirna Expression Profiles ◽  
Differentially Expressed Mirnas

BackgroundThe adrenocortical adenoma (ACA) entity includes aldosterone-producing adenoma (APA), cortisol-producing adenoma (CPA), and non-hyperfunctioning adenoma (NHFA) phenotypes. While gene mutations and mRNA expression profiles have been partly characterized, less is known about the alterations involving microRNA (miRNA) expression.AimTo characterize miRNA expression profile in relation to the subtypes of ACAs.Subjects and methodsmiRNA expression profiles were determined in 26 ACAs (nine APAs, ten CPAs, and seven NHFAs) and four adrenal references using microarray-based screening. Significance analysis of microarrays (SAM) was carried out to identify differentially expressed miRNAs between ACA and adrenal cortices or between tumor subtypes. Selected differentially expressed miRNAs were validated in an extended series of 43 ACAs and ten adrenal references by quantitative RT-PCR.ResultsAn hierarchical clustering revealed separate clusters for APAs and CPAs, while the NHFAs were found spread out within the APA/CPA clusters. When NHFA was excluded, the clustering analysis showed a better separation between APA and CPA. SAM analysis identified 40 over-expressed and three under-expressed miRNAs in the adenomas as compared with adrenal references. Fourteen miRNAs were common among the three ACA subtypes. Furthermore, we found specific miRNAs associated with different tumor phenotypes.ConclusionThe results suggest that miRNA expression profiles can distinguish different subtypes of ACA, which may contribute to a deeper understanding of ACA development and potential therapeutics.

scholarly journals Carcinoma in situ testis, the progenitor of testicular germ cell tumours: a clinical review

2005 ◽  
Vol 16 (6) ◽  
pp. 863-868 ◽  
Author(s):  
C.E. Hoei-Hansen ◽  
E. Rajpert-De Meyts ◽  
G. Daugaard ◽  
N.E. Skakkebaek
Keyword(s):  
Germ Cell ◽  
Clinical Review ◽  
Carcinoma In Situ ◽  
Germ Cell Tumours ◽  
Testicular Germ Cell ◽  
Testicular Germ Cell Tumours

scholarly journals Profiling 25 Bone Marrow microRNAs in Acute Leukemias and Secondary Nonleukemic Hematopoietic Conditions

Biomedicines ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 607
Author(s):  
Igor B. Kovynev ◽  
Sergei E. Titov ◽  
Pavel S. Ruzankin ◽  
Mechti M. Agakishiev ◽  
Yuliya A. Veryaskina ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Mirna Expression ◽  
Expression Profiles ◽  
Lymphoblastic Leukemia ◽  
Molecular Genetic ◽  
Mirna Expression Profile ◽  
Classification Systems ◽  
Acute Leukemias ◽  
Mirna Expression Profiles ◽  
Genetic Features

Introduction: The standard treatment of acute leukemias (AL) is becoming more efficacious and more selective toward the mechanisms via which to suppress hematologic cancers. This tendency in hematology imposes additional requirements on the identification of molecular-genetic features of tumor clones. MicroRNA (miRNA, miR) expression levels correlate with cytogenetic and molecular subtypes of acute leukemias recognized by classification systems. The aim of this work is analyzing the miRNA expression profiles in acute myeloblastic leukemia (AML) and acute lymphoblastic leukemia (ALL) and hematopoietic conditions induced by non-tumor pathologies (NTP). Methods: A total of 114 cytological samples obtained by sternal puncture and aspiration biopsy of bone marrow (22 ALLs, 44 AMLs, and 48 NTPs) were analyzed by real-time PCR regarding preselected 25 miRNAs. For the classification of the samples, logistic regression was used with balancing of comparison group weights. Results: Our results indicated potential feasibility of (i) differentiating ALL+AML from a nontumor hematopoietic pathology with 93% sensitivity and 92% specificity using miR-150:miR-21, miR-20a:miR-221, and miR-24:nf3 (where nf3 is a normalization factor calculated from threshold cycle values of miR-103a, miR-191, and miR-378); (ii) diagnosing ALL with 81% sensitivity and 81% specificity using miR-181b:miR-100, miR-223:miR-124, and miR-24:nf3; and (iii) diagnosing AML with 81% sensitivity and 84% specificity using miR-150:miR-221, miR-100:miR-24, and miR-181a:miR-191. Conclusion: The results presented herein allow the miRNA expression profile to de used for differentiation between AL and NTP, no matter what AL subtype.

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