Dataset Information

Biomarkers as key contributors in treating malignant melanoma metastases.

ABSTRACT: Melanoma is a human neurocristopathy associated with developmental defects in the neural crest-derived epidermal melanocytes. At the present time, at least three hypotheses were identified that may explain melanoma aetiology, as follows: (1) a model of linear progression from differentiated melanocytes to metastatic cancer cells (2) a model involving the appearance of melanoma stem-like cells, and (3) an epigenetic progenitor model of cancer. Treating metastatic melanoma is one of the most serious challenges in the 21st century. This is justified because of a subpopulation of cells presenting a remarkable molecular heterogeneity, which is able to explain the drug resistance and the growing mortality rates worldwide. Fortunately, there are now evidences sustaining the importance of genetic, epigenetic, and metabolomic alterations as biomarkers for classification, staging, and better management of melanoma patients. To illustrate some fascinating insights in this field, the genes BRAF(V600E) and CTLA4 have been recognized as bona fide targets to benefit melanoma patients. Our research attempts to carefully evaluate data from the literature in order to highlight the link between a molecular disease model and the key contribution of biomarkers in treating malignant melanoma metastases.

SUBMITTER: de Souza CF

PROVIDER: S-EPMC3216378 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Biomarkers as key contributors in treating malignant melanoma metastases.

de Souza Camila Ferreira CF Morais Alice Santana AS Jasiulionis Miriam Galvonas MG

Dermatology research and practice 20111031

Melanoma is a human neurocristopathy associated with developmental defects in the neural crest-derived epidermal melanocytes. At the present time, at least three hypotheses were identified that may explain melanoma aetiology, as follows: (1) a model of linear progression from differentiated melanocytes to metastatic cancer cells (2) a model involving the appearance of melanoma stem-like cells, and (3) an epigenetic progenitor model of cancer. Treating metastatic melanoma is one of the most serio ...[more]

PMID: 22110486

Similar Datasets

Project description:Perturbations in microRNA (miRNA) expression profiles has been reported for cutaneous malignant melanoma (CMM). With regards to a rapidly growing number of newly discovered miRNA sequences, the availability of up-to-date miRNA expression profiles for primary cutaneous malignant melanoma (PCMM), cutaneous malignant melanoma metastases (CMMM) and benign melanocytic naevi (BMN) is limited. Patients with PCMM (n=9), CMMM (n=4) and BMN (n=8) were included in the study. Specimens were obtained during surgery from the center of the tumors (lesional). An exploratory microarray analysis was performed by miRNA expression profiling based on miRBase V.16. Additionally, the expression levels of selected miRNA candidates were confirmed by TaqMan real-time quantitative polymerase chain reaction (RT-PCR). New miRNA candidates previously not described to be associated with CMM were found to be potentially dysregulated in CMM. Nine patients with PCMM (PCMM1-PCMM9), four patients with CMMM (CMMM1-CMMM4) and eight patients with BMN (BMN1-BMN8) were enrolled in the present study. All cutaneous specimens were harvested in the operating room, immediately stored in RNAlater (Quiagen, Hilden, Germany) and kept at - 80 M-BM-0C until RNA isolation. Total RNA including miRNAs was isolated using the miRNeasy Mini Kit (Quiagen, Hilden, Germany) according to the manufacturerM-bM-^@M-^Ys protocol. RNA concentration and purity was determined by NanoDrop ND-1000 spectral photometer (Peqlab, Erlangen, Germany). RNA integrity control (RIN) was determined by means of capillary electrophoresis with the 2100 Bioanalyzer and the RNA 6000 NanoLabCHip Kits (both Agilent Technologies, Santa Clara, USA). To be further considered for Microarray analysis a RIN M-bM-^IM-% 7.0 indicating medium to good RNA quality was defined as inclusion criteria. For assessment of labeling and hybridization efficiencies total RNA samples were spiked with in-vitro synthesized oligonucleotides by using the MicroRNA Spike-In Kit (Agilent Technologies, Santa Clara, USA). A total of 100 ng total RNA per sample were introduced into a labeling reaction. The spiked total RNA was treated with alkaline calf intestine phosphatase (CIP). The dephosphorylated RNA was labeled with the miRNA Complete Labeling and Hyb Kit (Agilent Technologies, Santa Clara, USA) according to the manufacturerM-BM-4s instructions using T4 RNA ligase, incorporating Cyanine 3-Cytidine biphosphate (pCp). The Cyanine-3-labeled miRNA samples were prepared for One-Color based hybridization with Complete miRNA Labeling and Hyb Kit (Agilent Technologies, Santa Clara, USA) according to the manufacturerM-BM-4s instructions. Labeled miRNA samples were hybridized at 55M-BM-0C for 20 hrs on separate Human miRNA Microarrays Release 16.0 (8x60K format, (Agilent Technologies, Santa Clara, USA). Afterwards, microarrays were washed with increasing stringency using Gene Expression Wash Buffers (Agilent Technologies, Santa Clara, USA) followed by drying with acetonitrile (Sigma-Aldich, St.Louis, USA). Fluorescent signal intensities were detected with Scan Control A.8.4.1 Software (Agilent Technologies, Santa Clara, USA) on the Agilent DNA Microarray Scanner and extracted from the images using Feature Extraction 10.7.3.1 Software (Agilent Technologies, Santa Clara, USA). All the steps described were carried out according to the manufacturerM-BM-4s instructions.

Dataset Information

Biomarkers as key contributors in treating malignant melanoma metastases.

Publications

Biomarkers as key contributors in treating malignant melanoma metastases.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure