Project description:Triple negative breast tumours from archived formalin fixed paraffin embeded samples of the National Cancer Institute of Mexico were analyzed for differential gene expressión.
Project description:This dataset contains high throughput sequencing data from Non-functioning pituitary adenomas (NFPAs) together with associated control sections of healthy pituitary which was obtained from formalin-fixed paraffin embeded samples. All of the samles come from patients of Maria Sklodowska-Curie Memorial Cancer Center in Warsaw. All the samples were sequenced using Ion Torrent technology in Maria Sklodwoska-Curie Memorial Cancer Center in Warsaw. They were further processed and used to perform complex analyses using other high-throughput data.
Project description:Adenoid cystic carcinoma (ACC) is an uncommon malignant neoplasm (incidence of 0.35 per 100,000) that occurs in different body sites. It most often arises in salivary glands and other secretory glands in the head and neck region. To find the gene expression signatures of ACC, we performed microarray experiments to compare ACC xenograft tumor models and normal tissue samples. We used microarrays to detail the global program of gene expression underlying adenoid cystic carcinoma and identified distinct classes of up- and down-regulated genes compared to non-neoplastic salivary tissue.
Project description:Background: Adrenal myelolipoma (AML) is a relatively common and invariably benign tumor composed of adipose tissue and hematopoietic elements. Due to the variable proportion of fat and hematopoietic elements, it is sometimes challenging to differentiate AML from adrenocortical carcinoma (ACC). MicroRNAs have been identified as promising biomarkers in many tumors, including adrenocortical neoplasms, but the microRNA expression of adrenal myelolipoma has not been investigated, yet. Aims: To perform a large scale microRNA expression profiling in adrenal myelolipoma, benign and malignant adrenocortical tumors to identify potential microRNA biomarkers. Methods: Next-generation sequencing (NGS) on 30 formalin-fixed paraffin-embedded archived tissue samples (discovery cohort: 10 adrenocortical adenoma (ACA), 10 ACC and 10 myelolipoma) was performed by Illumina MiSeq. Significantly differentially expressed microRNAs were validated by real-time RT-qPCR in an independent validation cohort comprised of 10 ACA, 10 myelolipoma and 9 ACC samples. Results: We have found relative overexpression of miR- 451a, miR-486-5p, miR-363-3p and miR-150-5p in myelolipoma compared to the other two tumor groups by NGS. For ACC, we have found up-regulation of miR-184, miR-483-5p, miR-431-5p and miR-183-5p compared to myelolipoma and ACA. Validation by RT-qPCR, confirmed significant overexpression of miR-451a, miR-486-5p and miR-150-5p in myelolipomas relative to ACA and ACC, whereas significant overexpression of miR-184 and miR-183-5p was confirmed in ACC relative to the other 2 groups. The overexpression of miR-483-5p has not turned out to be significant in ACC relative to myelolipomas in the validation cohort. Conclusions: Overexpressed miR-451a, miR-486-5p and miR-150-5p might be potential tissue markers of adrenal myelolipoma. The lack of significance in the expression of miR-483-5p between ACC and myelolipoma is remarkable, as miR-483-5p has been considered to be the best marker of adrenal malignancy to date.
Project description:Genome wide DNA methylation profiling of formalin-fixed paraffin-embedded (FFPE) melanoma tissue samples from patients prior to treatment with anti-PD1 immune checkpoint inhibitor therapy. The MethylationEPIC v1.0 BeadChip array was used to obtain DNA methylation profiles across approximately 850,000 CpGs in bisulfite treated DNAs extracted from formalin-fixed paraffin embedded melanoma tissues prior to treatment with anti-PD1 immune checkpoint inhibitor therapy.
Project description:Adenoid cystic carcinoma (ACC) is an uncommon malignant neoplasm (incidence of 0.35 per 100,000) that occurs in different body sites. It most often arises in salivary glands and other secretory glands in the head and neck region. To find the gene expression signatures of ACC, we performed microarray experiments to compare ACC xenograft tumor models and normal tissue samples. We used microarrays to detail the global program of gene expression underlying adenoid cystic carcinoma and identified distinct classes of up- and down-regulated genes compared to non-neoplastic salivary tissue. Viable tumor tissue samples from human patients were used to establish xenograft tumor models in nude/nude immunodeficient mice. Tissue from these tumor models were compared to tissue samples of normal human salivary glands. Tissue samples were frozen, examined by cryostat histologic sectioning and macrodissected to obtain samples that represented at least 70% epithelial cells.
Project description:Adrenal cortical carcinoma (ACC) is an extremely rare disease with a variable prognosis. Current prognostic markers have limitations in identifying patients with a poor prognosis. Herein, we aimed to investigate the prognostic protein biomarkers of ACC using mass-spectrometry-based proteomics. We performed liquid chromatography-tandem mass spectrometry (LC-MS/MS) using formalin-fixed paraffin-embedded (FFPE) tissues of 45 adrenal tumors.
Project description:Genome wide DNA methylation profiling of dedifferentiated chondrosarcoma samples. Genomic DNA was extracted from formalin-fixed paraffin-embedded (FFPE) tissue after manual macrodissection to ensure at least 10% tumor content, followed by bisulfite converstion. All samples were processed on the Infinium 850k array and scanned using the Illumina iScan, according to the manufacturer's recommended protocol.
