Histology-Specific MicroRNA Alterations in Melanoma

Slides:



Advertisements
Similar presentations
Stefanie Krenzer, Heike Peterziel, Cornelia Mauch, Sachiko I
Advertisements

An Autoimmune Phenotype in Vulvar Lichen Sclerosus and Lichen Planus: A Th1 Response and High Levels of MicroRNA-155  Annelinde Terlou, Lindy A.M. Santegoets,
Decreased Expression of the Chromatin Remodeler ATRX Associates with Melanoma Progression  Zulekha A. Qadeer, Sara Harcharik, David Valle-Garcia, Chen.
Volume 10, Issue 6, Pages (December 2006)
Methods to Improve Adoptive T-Cell Therapy for Melanoma: IFN-γ Enhances Anticancer Responses of Cell Products for Infusion  Marco Donia, Morten Hansen,
Array-CGH Reveals Recurrent Genomic Changes in Merkel Cell Carcinoma Including Amplification of L-Myc  Kelly G. Paulson, Bianca D. Lemos, Bin Feng, Natalia.
Alterations of the Cell-Cycle Inhibitors p27KIP1 and p16INK4a Are Frequent in Blastic Plasmacytoid Dendritic Cell Neoplasms  Thomas Wiesner, Anna C. Obenauf,
Primary Melanoma Tumors from CDKN2A Mutation Carriers Do Not Belong to a Distinct Molecular Subclass  Johan Staaf, Katja Harbst, Martin Lauss, Markus.
Microarray Technique, Analysis, and Applications in Dermatology
Notch1 Pathway Activation Results from the Epigenetic Abrogation of Notch-Related MicroRNAs in Mycosis Fungoides  Fernando Gallardo, Juan Sandoval, Angel.
MicroRNA Expression Profiling and DNA Methylation Signature for Deregulated MicroRNA in Cutaneous T-Cell Lymphoma  Juan Sandoval, Angel Díaz-Lagares,
William M. Lin, Julia M. Lewis, Renata B. Filler, Badri G
Microarray Techniques to Analyze Copy-Number Alterations in Genomic DNA: Array Comparative Genomic Hybridization and Single-Nucleotide Polymorphism Array 
Clinical Snippets Journal of Investigative Dermatology
Identification of BRAF 3′UTR Isoforms in Melanoma
The High Expression of the microRNA 17–92 Cluster and its Paralogs, and the Downregulation of the Target Gene PTEN, Is Associated with Primary Cutaneous.
Cyclin E1 Is Amplified and Overexpressed in Osteosarcoma
Longitudinal Study of Recurrent Metastatic Melanoma Cell Lines Underscores the Individuality of Cancer Biology  Zoltan Pos, Tara L. Spivey, Hui Liu, Michele.
Kavitha K. Reddy  Journal of Investigative Dermatology 
Yuchun Luo, Lixia Z. Ellis, Katiuscia Dallaglio, Moe Takeda, William A
Activin A Is Anti-Lymphangiogenic in a Melanoma Mouse Model
Klaus Hoffmann, Markus Stücker, Peter Altmeyer 
Circulating Tumor Cells and Melanoma Progression
MiR-125b, a MicroRNA Downregulated in Psoriasis, Modulates Keratinocyte Proliferation by Targeting FGFR2  Ning Xu, Petter Brodin, Tianling Wei, Florian.
Elisa Penna, Francesca Orso, Daniela Taverna 
Michael P. O'Connell, Ashani T. Weeraratna 
Deletion of PTENP1 Pseudogene in Human Melanoma
Association of MicroRNA Expression with Microsatellite Instability Status in Colorectal Adenocarcinoma  Jonathan S.L. Earle, Rajyalakshmi Luthra, Angela.
Mapping Cancer Origins
Cutaneous Anaplastic Large Cell Lymphoma and Peripheral T-Cell Lymphoma NOS Show Distinct Chromosomal Alterations and Differential Expression of Chemokine.
Clinical Snippets Journal of Investigative Dermatology
Minutes of the Board of Directors Meeting
Keratinocyte Growth Regulation TRP-ed Up Over Downregulated TRPV4?
Volume 10, Issue 6, Pages (December 2006)
Unraveling the Mysteries of IGF-1 Signaling in Melanoma
Star Trek Publishing Journal of Investigative Dermatology
KIT in Melanoma: Many Shades of Gray
RT-PCR for Tyrosinase-mRNA-Positive Cells in Peripheral Blood: Evaluation Strategy and Correlation with Known Prognostic Markers in 123 Melanoma Patients 
Journal of Investigative Dermatology
Journal of Investigative Dermatology 
David Quigley  Journal of Investigative Dermatology 
Roland Houben, Claudia S. Vetter-Kauczok, Sonja Ortmann, Ulf R
Selective Expression of FLIP in Malignant Melanocytic Skin Lesions
MiRNA Expression Profiling in Melanocytes and Melanoma Cell Lines Reveals miRNAs Associated with Formation and Progression of Malignant Melanoma  Daniel.
Transcriptional Profiling of Psoriasis Using RNA-seq Reveals Previously Unidentified Differentially Expressed Genes  Ali Jabbari, Mayte Suárez-Fariñas,
Society for Investigative Dermatology 2010 Meeting Minutes
Journal of Investigative Dermatology
BJD Editor's Choice Journal of Investigative Dermatology
Tomoo Ohashi  Journal of Investigative Dermatology 
Cells of Origin in Skin Cancer
Research Snippets Journal of Investigative Dermatology
Clinical Snippets Journal of Investigative Dermatology
Journal of Investigative Dermatology
How Much Sun Protection Is Needed
Anna Flammiger, Robert Besch, Anthony L. Cook, Tanja Maier, Richard A
Transcriptional Repression of miR-34 Family Contributes to p63-Mediated Cell Cycle Progression in Epidermal Cells  Dario Antonini, Monia T. Russo, Laura.
Metabolic Vulnerability in Melanoma: A ME2 (Me Too) Story
Madhuri Bhandaru, Magdalena Martinka, Gang Li, Anand Rotte 
25 Years of Epidermal Stem Cell Research
Journal of Investigative Dermatology
Epidemiologic Support for Melanoma Heterogeneity Using the Surveillance, Epidemiology, and End Results Program  Anne M. Lachiewicz, Marianne Berwick,
Jeffrey P. North, Toshiro Kageshita, Daniel Pinkel, Philip E
Journal of Investigative Dermatology
Protein Kinase C-Dependent Upregulation of miR-203 Induces the Differentiation of Human Keratinocytes  Enikö Sonkoly, Tianling Wei, Elizabeth Pavez Loriè,
Consequences of Psychological Distress in Adolescents with Acne
Journal of Investigative Dermatology
Activation of B-raf in Non-Malignant Nevi Predicts a Novel Tumor Suppressor Gene in Melanoma (MAP Kinase Phosphatase)  Jack L. Arbiser  Journal of Investigative.
Journal of Investigative Dermatology
Gene Profiling of Keloid Fibroblasts Shows Altered Expression in Multiple Fibrosis- Associated Pathways  Joan C. Smith, Braden E. Boone, Susan R. Opalenik,
Katharina Steinmann, Lan Kluwe, Reinhard E
Presentation transcript:

Histology-Specific MicroRNA Alterations in Melanoma Laura Poliseno, Adele Haimovic, Miguel F. Segura, Douglas Hanniford, Paul J. Christos, Farbod Darvishian, Jinhua Wang, Richard L. Shapiro, Anna C. Pavlick, Russell S. Berman, Eva Hernando, Jiri Zavadil, Iman Osman  Journal of Investigative Dermatology  Volume 132, Issue 7, Pages 1860-1868 (July 2012) DOI: 10.1038/jid.2011.451 Copyright © 2012 The Society for Investigative Dermatology, Inc Terms and Conditions

Figure 1 Expression profiling reveals 134 microRNAs that are differentially expressed between superficial spreading melanoma (SSM) and nodular melanoma (NM). Heat map representing the differentially expressed microRNAs according to T-test, P<0.05 (left), and SAM, false discovery rate (FDR) <10% (right). T-test and SAM identify 160 and 165 differentially expressed microRNAs, respectively. In all, 134 microRNAs overlap between the two analyses. For 126 of the 134 microRNAs, the differences between SSM and NM could not be accounted for by thickness. Journal of Investigative Dermatology 2012 132, 1860-1868DOI: (10.1038/jid.2011.451) Copyright © 2012 The Society for Investigative Dermatology, Inc Terms and Conditions

Figure 2 MicroRNAs that are specifically downregulated in superficial spreading melanoma (SSM) compared with both congenital nevi (CN) and nodular melanoma (NM). In all, 31 microRNAs belong to this category according to T-test and/or Mann–Whitney test (P<0.05), and they are all listed on the left. On the right, miR-15a is shown as an example in the upper panel, whereas a cartoon summarizing the relationship among CN, SSM, and NM is reported in the lower panel. The black arrow on the side indicates increasing expression levels. *P<0.05. Journal of Investigative Dermatology 2012 132, 1860-1868DOI: (10.1038/jid.2011.451) Copyright © 2012 The Society for Investigative Dermatology, Inc Terms and Conditions

Figure 3 Thirteen microRNA loci are deleted in radial growth phase (RGP)/superficial spreading melanoma (SSM)–like cell lines and not in vertical growth phase (VGP)/nodular melanoma (NM)–like cell lines. The genomic loci corresponding to the 31 microRNAs listed in Figure 2 were analyzed by real-time PCR in 10 primary melanoma cell lines. The second column indicates whether each microRNA was identified using T-test (T) or Mann–Whitney test (MW). The cluster to which each microRNA belongs and its genomic location are reported in the third and fourth column, respectively. RGP/SSM-like cell lines are in blue and VGP/NM-like cell lines are in red. The 13 loci that were subjected to further analyses are highlighted in gray. Journal of Investigative Dermatology 2012 132, 1860-1868DOI: (10.1038/jid.2011.451) Copyright © 2012 The Society for Investigative Dermatology, Inc Terms and Conditions

Figure 4 Validation of the genomic loss of let-7g, miR-15a, miR-16, miR-138, miR-181a, miR-191, and miR-933 in melanoma specimens. Copy number of the microRNA loci corresponding to the seven microRNAs in congenital nevi (CN) (black), superficial spreading melanoma (SSM) (blue), and nodular melanoma (NM) (red) primary tumor specimens. The bicistronic miR-15a∼16-1 expresses both miR-15a and miR-16. *P<0.05; **P<0.01; ***P<0.001. Journal of Investigative Dermatology 2012 132, 1860-1868DOI: (10.1038/jid.2011.451) Copyright © 2012 The Society for Investigative Dermatology, Inc Terms and Conditions

Figure 5 Expression level of let-7g, miR-15a, miR-16, miR-138, miR-181a, and miR-191 in the melanoma specimens belonging to the validation cohort. The difference in expression level of the indicated microRNAs between the 38 superficial spreading melanoma (SSM) and the 59 nodular melanoma (NM) samples belonging to the validation cohort is reported. *P<0.05; **P<0.01. Journal of Investigative Dermatology 2012 132, 1860-1868DOI: (10.1038/jid.2011.451) Copyright © 2012 The Society for Investigative Dermatology, Inc Terms and Conditions