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Study of the usefulness of novel pit structure associated with type IVv pit pattern for colorectal tumor :Pilot study

ABSTRACT: Interventions: Magnified endoscopy Primary outcome(s): Diagnostic ability (sensitivity, specificity, accuracy, positive predictive value, and negative predictive value) for colorectal lesion pathology in adenoma component. Study Design: Single arm Non-randomized

DISEASE(S): Colorectal Lesions

PROVIDER: 2629733 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

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Endocytoscopy observation of novel pit structure associated with type IVv pit pattern for colorectal tumor :Pilot study

Project description:Interventions: Endocytoscopy observation Primary outcome(s): Diagnostic ability (sensitivity, specificity, accuracy, positive predictive value, and negative predictive value) for colorectal lesion pathology in adenoma component. Study Design: Single arm Non-randomized

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A Study on Improvement of Accuracy of Assistive Artificial Intelligence for Colonoscopy CADe: Study on Improvement of Accuracy of EndoBRAIN-EYE

Project description:Primary outcome(s): Colorectal lesion detection rate and accuracy (positive diagnosis rate, sensitivity, specificity, positive predictive value, negative predictive value)

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Primovist enhanced MRI for the detection and evaluation of focal liver lesions

Project description:Primary objectives: To determine the diagnostic value of MR-Primovist and Respiratory Triggered DWI MRI for the detection and characterization of focal liver lesions . Primary endpoints: Main study parameter/endpoint:- Negative predictive value and positive predictive value for the detection and characterization of focal liver lesions on a per patient basis. Secondary study parameters/endpoints:- Secondary parameters: Accuracy and agreement between MR-Gadovist and MR-Primovist for lesion detection and characterization on a per lesion basis - Change in surgical strategy

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Genomic profiling of human Leishmania braziliensis lesions identifies transcriptional modules associated with cutaneous immunopathology

Project description:The host immune response plays a critical role not only in protection from human leishmaniasis, but also in promoting disease severity. Although candidate gene approaches in mouse models of leishmaniasis have been extremely informative, a global understanding of the immune pathways active in lesions from human patients is lacking. To address this issue, genome-wide transcriptional profiling of Leishmania braziliensis-infected cutaneous lesions and normal skin controls was carried out. A signature of the L. braziliensis skin lesion was defined that includes over 2,000 differentially regulated genes. Pathway-level analysis of this transcriptional response revealed key biological pathways, as well as specific genes, associated with cutaneous pathology, generating a testable 'metapathway' model of immune-driven lesion pathology, and providing new insights for treatment of human leishmaniasis. Thirty-five skin biopsies were analyzed, including 10 normal skin biopsies (2 from North America and 8 from non-endemic area in Brazil), and 25 skin lesion biopsies (8 early cutaneous lesions, 17 late cutaneous lesions) obtained from Leishmania brazilensis-infected patients presenting at the Corte de Pedra Health Post in Corte de Pedra, Bahia, Brazil.

2014-03-07 | E-GEOD-55664 | biostudies-arrayexpress

Single cell RNA analysis reveals the complex heterogeneity of CD4+ T cells in chronic neuroinflammation

Project description:Multiple sclerosis (MS) is a severe chronic inflammatory disease of the central nervous system (CNS) that leads to disability in young adults. T lymphocytes are a key component of lesion pathology throughout the disease course. Here we used the animal model experimental autoimmune encephalomyelitis (EAE) to conduct an unbiased characterization of CD4+ T cells in acute and chronic EAE.

2023-09-09 | GSE156196 | GEO

Genomic profiling of human Leishmania braziliensis lesions identifies transcriptional modules associated with cutaneous immunopathology

2014-03-07 | GSE55664 | GEO

Small RNAome profiling from human skeletal muscle: Novel miRNAs and their targets associated with cancer cachexia

Project description:Background: MicroRNAs (miRs) are small non-coding RNAs that regulate gene (mRNA) expression. Although pathological role of miRs have been studied in muscle wasting conditions such as age, obesity, starvation and muscular dystrophy, their roles in Cancer Cachexia CC are still emerging. Objectives: (i) to profile human skeletal muscle expressed miRs; (ii) to identify differentially expressed (DE) miRs between cachectic and non-cachectic cancer patients; (iii) to identify mRNA targets for the DE miRs to gain mechanistic insights and (iv) to investigate if miRs show potential prognostic and predictive value. Methods: 43 cancer patients were included, of which 19 were cachectic cases exhibiting pre-illness weight loss ≥ 5% and 24 non-cachectic cancer controls who were weight stable in the preceding 6 months. Total RNA isolated from muscle biopsies were subjected to next generation sequencing (NGS). Results: 781 miRs were profiled and 82 miRs with read counts of ≥ 5 in 80% of samples were retained for analysis. We identified 7 DE miRs (up-regulated, fold change of ≥1.4 at p< 0.05). Potential mRNA targets for the DE miRs were identified using previously described human skeletal muscle mRNA expression data (n=90) and identified 212 potential mRNA targets. Ingenuity Pathway Analysis identified 41 pathways (p<0.05) including pathways of myogenesis and inflammation. qRT-PCR analysis of representative miRs, showed similar direction of effect (p<0.05) as in NGS. And lastly, we evaluated the identified miRs for prognostic and predictive value. Conclusions: We identified seven novel miRs associated with CC and pathways that are regulated in CC.

2017-01-09 | GSE75473 | GEO

Prospective Assessment of CONECCT’s Classification for Colorectal Lesions.

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Project description:Predictive Value of MicroRNAs in the Progression of Oral Leukoplakias

| PRJNA265196 | ENA

Homo sapiens

Project description:Molecular markers of predictive value associated with low birth weight

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