Analysis of gene expression signatures for primary vitreo retinal lymphoma
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE127761 | GEO | 2020/04/22
REPOSITORIES: GEO
Similar Datasets
Project description:Vitreoretinal lymphoma is a rare subtype of diffuse large B-cell lymphoma considered a variant of primary central nervous system lymphoma. Its diagnosis requires examination of vitreous fluid, but cytologic differentiation from uveitis remains difficult. Due to its rarity and difficulty in obtaining diagnostic material, little is known about the genetic profile of the disease.
2022-07-19 | GSE164910 | GEO
Project description:Classical Hodgkin lymphoma (cHL) is a highly curable disease, with about 80% of patients cured using standard first-line chemotherapy. However, outcomes for relapsed/refractory patients re-main unfavorable and there is a critical lack of predictive biomarkers for early identification of these patients who may benefit from new therapeutic strategies. Here we evaluated the dynamic expression of 571 immune-related genes in a cohort of 42 cHL using NanoString technology. We identified a 19-genes immune signature predictive of relapse at the time of diagnosis, which was found to be strongly dependent on histological subtype. Moreover, comparative analyses be-tween paired diagnostic/relapsed biopsies of nodular sclerosis cHL showed 134 differentially expressed genes, highlighting an immune contexture shift at relapse not found in the mixed-cellularity subtype. Overall, these results strongly suggest that the predictive value of immune signature in cHL is influenced by histological subtype, a criterion that should be con-sidered when assessing new immunotherapy strategies.
2022-10-10 | GSE212902 | GEO
Project description:Purpose: To study the proteome of the subretinal fluid (SRF) from rhegmatogenous retinal detachment (RRD) in search for novel markers for improved diagnosis and prognosis of RRD. Methods: Human undiluted SRF obtained during vitrectomy for primary RRD using a 41G needle (n = 24) was analyzed and compared to vitreous humor from 2-days post-mortem eyes (n = 20). Sample preparation underwent nanoflow liquid chromatography-tandem mass spectrometry (LC-MS/MS). Label-free quantification (LFQ) using MaxQuant was used to determine differential expressed proteins between SRF and vitreous humor. The intensity-based absolute quantification (iBAQ) was used to rank proteins according to their molar fractions within groups. Identification of proteins beyond the quantitative level was performed using the Mascot search engine. Results: The protein concentration of the control vitreous humor was lower and more consistent (1.2 ± 0.4 mg) than that of the SRF (17.9 ± 22 mg). The iBAQ analysis showed high resemblance between SRF and vitreous humor, except for crystallins solely identified in vitreous humor. The LFQ analysis found 37 protein misregulations between SRF and vitreous humor of which the blood coagulation pathway was found to be enriched using the PANTHER Classification System. Combined, the iBAQ, LFQ and Mascot analysis found an overlap only in chitinase-3-like protein 1 and galectin-3-binding protein unique to the SRF. Conclusions: The proteome of the SRF was highly represented by proteins involved in proteolysis. Such proteins can possibly serve as targets in modulating the effects of SRF in RD.
2020-10-20 | PXD019159 | Pride
Project description:PURPOSE: To investigate the circulatory microRNA (miRNA) profiles of aqueous, vitreous, and plasma in order to identify biomarkers in aqueous humor or plasma that are reflecting changes in vitreous of patients with diabetes. METHODS: Aqueous, vitreous and plasma samples were collected from a total of 27 patients - 11 controls (macular pucker or macular hole patients) and 16 patients with diabetes mellitus (DM) undergoing vitreoretinal surgery: DM-Type I with proliferative diabetic retinopathy (PDR) (DMI-PDR), DM Type II with PDR (DMII-PDR) and DM Type II with nonproliferative DR (DMII-NPDR). MiRNAs were isolated using Qiagen microRNeasy kit, quantified on BioAnalyzer, labeled with FlashTag kit, and profiled on Affymetrix GeneChip miRNA 3.0 microarrays. Data analysis was done using Expression Console (EC), Transcriptome Analysis Console (TAC), and Ingenuity Pathway Analysis (IPA) software. RESULTS: Our comparison of circulatory miRNA population of aqueous and vitreous humor and plasma showed that out of total of 847 human miRNA probes on the Affymetrix GeneChip miRNA 3.0 we found common miRNAs for both aqueous and vitreous samples, as well as larger number of unique miRNA, dependent on the DM type and presence of retinopathy. Most of the dysregulated miRNAs in aqueous and vitreous of DM patients were upregulated, while in plasma, most of the DM-specific miRNAs were downregulated. Dysregulation of miRNAs in aqueous generally do not appear to be a good representative of the miRNA abundance in vitreous, or plasma, although we did identify a few candidates for common biomarkers: let-7b, miR-320b, miR-762 and miR-4488. Additionally, each of the DR subtypes showed a set of miRNA that is uniquely dysregulated in each fluid, for example in aqueous samples for DMII-NPDR it was miR-455-3p, for DMII-PDR was miR-296, and for DMI-PDR it was miR-3202. Pathway analysis identified TGF-beta and VEGF pathways as the common targets for miRNAs dysregulated in DR aqueous and vitreous. CONCLUSIONS: The comparative profiling of circulatory miRNAs in aqueous, vitreous, and plasma showed that a small number of circulatory miRNAs displayed differential presence in controls vs. diabetic retinopathy. A pattern is emerging of sets of miRNA that are common or uniquely dysregulated in the blood plasma or ocular fluids of DR subtypes, offering promise for the use of ocular fluids and plasma for identifying diagnostic and therapeutic targets.
2020-06-27 | GSE140959 | GEO
Project description:Breast cancer (BC) recovery has considerably increased thanks to the advances achieved from research in this field. However, despite the important results obtained, BC remains a complex multifactorial disease with distinct subtypes associated with different outcomes.So, many efforts from radiobiological research are needed to help clinicians in understanding molecular features of a specific tumor subtype, in order to better define the most successful treatment plan, including the choice of the best Radiation Teraphy (RT) modality and schedule in clinical practice. The aim of the present study was to analyze the GEPs in primary breast cancer cells following irradiation with doses of 9 Gy and 23 Gy electron beam delivered by IOERT treatment, in order to define gene signatures of response to high doses of IR.
2021-02-19 | GSE110933 | GEO
Project description:Analysis of gene expression signatures for primary vitreo retinal lymphoma
| PRJNA525342 | ENA
Project description:We surveyed the DNA methylation levels of 435,941 CpG sites in samples from 764 children at diagnosis of ALL and from 27 children at relapse. This survey uncovered four characteristic methylation signatures. First, compared with control blood cells, the methylomes of ALL cells shared 9,406 predominantly hypermethylated CpG sites, independent of cytogenetic background. Second, each cytogenetic subtype of ALL displayed a unique set of hyper- and hypomethylated CpG sites. The CpG sites that constituted these two signatures differed in their functional genomic enrichment to regions with marks of active or repressed chromatin. Third, we identified subtype-specific differential methylation in promoter and enhancer regions that were strongly correlated with gene expression. Fourth, a set of 6,612 CpG sites was predominantly hypermethylated in ALL cells at relapse, compared with matched samples at diagnosis. Analysis of relapse-free survival identified CpG sites with subtype-specific differential methylation that divided the patients into different risk groups, depending on their methylation status. The DNA methylation levels of primary pediatric ALL samples taken at diagnosis (n= 764), remission(n=86), first relapse (n=27), second relapse (n=5), fractionated blood cells from healthy blood donors (n=51), and methylation +/- controls (n=11) were analyzed with the Illumina Infinium HumanMethylation 450k BeadChips. One ALL sample was run in duplicate (technical replicate).
2013-09-18 | E-GEOD-49031 | biostudies-arrayexpress
Project description:Molecular signatures to improve diagnosis in PTCL and prognostication in angioimmunoblastic T-cell lymphoma (AITL). Gene expression profiling of PTCL patient samples was performed to investigate whether molecular signatures can be used to identify distinct entities of PTCL.
2010-02-08 | GSE19069 | GEO
Project description:Military service members often return from deployment with a multiplicity of injuries, including mild traumatic brain injury, depression, and sleep disorders, which obsures diagnosis of PTSD symptoms and complicates treatment of PTSD. In order to understand the biological mechanisms underlying PTSD, gene expression profiles of military service members with and without PTSD were compared. Additionally, gene expression was examined based on intrusion symptoms, a distinct subtype of PTSD symptoms, and on improvement of PTSD symptoms at a three month follow up. RNA was extracted from blood samples and hybridized to the HG-U133_Plus_2 Affymetrix chip.
2019-09-25 | GSE81761 | GEO
Project description:Here, we performed molecular pathology analysis of the vitreous proteomes collected from 127 patients with RRD using SWATH-mass spectrometry. For comparison, samples of neurodegenerative vitreoretinal interface eyes (MH, Pucker) and proliferative diabetic retinopathy eyes with tractional-retinal detachment (PDR-TRD) were used as a control.
2020-11-05 | MSV000086412 | MassIVE