Estudio de marcadores moleculares en neoplasias mieloproliferativas

Las neoplasias mieloproliferativas (NM) son un grupo de enfermedades clonales de la célula hematopoyética madre. Entre las NM clásicas se encuentran la policitemia vera (PV), la trombocitemia esencial (TE) y la mielofibrosis primaria (MFP). Durante muchos años el diagnóstico de estas patologías se hacía por exclusión utilizando biomarcadores de clonalidad poco específicos. En el año 2005, la descripción de la mutación JAK2V617F supuso un avance importante en el diagnóstico de estas patologías. Posteriormente, se han descrito mutaciones en otros genes como mutaciones en MPL, TET2, ASXL1, IDH1, IDH2, c-CBL, EZH2, IKZF1 y LNK, en distintas neoplasias mieloides y en porcentaje variable. Aun así, ninguno de estos genes son marcadores específicos de ninguna NM y todavía existe un porcentaje elevado de pacientes con TE y MFP sin un marcador de clonalidad conocido. Además, todos estos genes se han descrito como eventos genéticos implicados en la transformación de una NM a leucemia mieloide aguda. El objetivo de este proyecto fue estudiar varios marcadores moleculares en neoplasias mieloproliferativas Philadelphia negativas. En primer lugar, se estudió la modulación de la carga alélica JAK2V617F en pacientes con PV o TE que recibieron tratamiento citoreductor y a su vez se analizó la dinámica natural de la carga alélica en pacientes que no recibieron tratamiento. Posteriormente, se analizaron la presencia de alteraciones en los genes previamente mencionados, en distintos grupos de pacientes. En primer lugar, se analizó la presencia de mutaciones en TET2, ASXL1, IDH1, IDH2 y CBL en un grupo de pacientes JAK2 y MPL negativos, para determinar la frecuencia de alteraciones de estos genes en este grupo de pacientes y determinar su valor en el diagnóstico de estas patologías. En segundo lugar, se estudió la presencia de mutaciones en estos genes incluyendo EZH2, IKZF1 y LNK para estudiar la incidencia y el valor pronóstico de estas alteraciones en las NM que progresan a mielofibrosis.

Phenotypic plasticity in the Caribbean sponge Callyspongia vaginalis (Porifera: Haplosclerida)

Sponge morphological plasticity has been a long-standing source of taxonomic difficulty. In the Caribbean, several morphotypes of the sponge Callyspongia vaginalis have been observed. To determine the taxonomic status of three of these morphotypes and their relationship with the congeneric species C. plicifera and C. fallax, we compared the spicule composition, spongin fiber skeleton and sequenced fragments of the mitochondrial genes 16S and COI and nuclear genes 28S and 18S ribosomal RNA. Phylogenetic analyses with ribosomal markers 18S and 28S rRNA confirmed the position of our sequences within the Callyspongiidae. None of the genetic markers provided evidence for consistent differentiation among the three morphotypes of C. vaginalis and C. fallax, and only C. plicifera stood as a distinct species. The 16S mtDNA gene was the most variable molecular marker for this group, presenting a nucleotide variability (π = 0.024) higher than that reported for COI. Unlike recent studies for other sponge genera, our results indicate that species in the genus Callyspongia maintain a high degree of phenotypic plasticity, and that morphological characteristics may not reflect reproductive boundaries in C. vaginalis.

PCR detection of the pKM.19/ScrfI RFLP (D7S23), a marker closely linked to the cystic fibrosis mutation

Source: Description: pKM-19 is a 1.0 kb EcoRI human genomic fragment inserted in pUC13, that detects a Scrfl (CC/NGG) RFLP (1, 2). We report here the primer sequences suitable for the detection of this RFLP by PCR...

Identification of molecular subtypes and gene expression patterns of breast cancer analysing RNA-seq data

Breast cancer is the most common diagnosed cancer and the leading cause of cancer death among females worldwide. It is considered a highly heterogeneous disease and it must be classified into more homogeneous groups. Hence, the purpose of this study was to classify breast tumors based on variations in gene expression patterns derived from RNA sequencing by using different class discovery methods. 42 breast tumors paired-samples were sequenced by Illumine Genome Analyzer and the data was analyzed and prepared by TopHat2 and htseq-count. As reported previously, breast cancer could be grouped into five main groups known as basal epithelial-like group, HER2 group, normal breast-like group and two Luminal groups with a distinctive expression profile. Classifying breast tumor samples by using PAM50 method, the most common subtype was Luminal B and was significantly associated with ESR1 and ERBB2 high expression. Luminal A subtype had ESR1 and SLC39A6 significant high expression, whereas HER2 subtype had a high expression of ERBB2 and CNNE1 genes and low luminal epithelial gene expression. Basal-like and normal-like subtypes were associated with low expression of ESR1, PgR and HER2, and had significant high expression of cytokeratins 5 and 17. Our results were similar compared with TGCA breast cancer data results and with known studies related with breast cancer classification. Classifying breast tumors could add significant prognostic and predictive information to standard parameters, and moreover, identify marker genes for each subtype to find a better therapy for patients with breast cancer.