Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA263674 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Colorectal cancer remains the leading cause of cancer death worldwide. The 5-year annual survival is less than half of the incidence rate that is predominantly due to late diagnosis of the disease striking the very urgent clinical necessity for biomarkers capable of detecting cancer malignancy at an early onset. During neoplastic transformation, cells undergo several behavioral changes that subsequently result in defects in cell division, immune tolerance, inflammation, and cellular death mechanisms. These processes lead to the development of tumor antigens (TA) that evoke an immune response and subsequent generation of antibodies against self-proteins, called autoantibodies (AAbs). This study aims to identify autoantibody biomarkers in patient’s sera for early screening of the cancer. High-density human proteome array having approximately 17,000 full-length recombinant human proteins were used in the study. The generation of an autoimmune response against important cancer-linked pathways could be important in terms of screening for the disease. The process of immune surveillance starts as tumorigenesis begins and hence autoantibodies can be detected in a very early stage of cancer. Moreover, AAbs can be easily extracted from blood serum through the least invasive test for disease screening.
2022-12-07 | E-MTAB-12081 | biostudies-arrayexpress
Project description:Parkinson's Disease (PD) and Non-Demented Control (NDC) human sera were probed onto human protein microarrays in order to identify differentially expressed autoantibody biomarkers that could be used as diagnostic indicators. In the study presented here, 29 PD and 40 NDC human serum samples were probed onto human protein microarrays in order to identify differentially expressed autoantibodies. Microarray data was analyzed using several statistical significance algorithms, and autoantibodies that demonstrated significant group prevelance were selected as biomarkers of disease. Prediction classification analysis tested the diagnostic efficacy of the identified biomarkers; and differentiation of PD samples from other neurodegeneratively-diseased and non-neurodegeneratively-diseased controls (Alzheimer's disease, multiple sclerosis, and breast cancer) confirmed their specificity.
2012-02-27 | E-GEOD-29654 | biostudies-arrayexpress
Project description:Alzheimer's Disease (AD) and Non-Demented Control (NDC) human sera were probed onto human protein microarrays in order to identify differentially expressed autoantibody biomarkers that could be used as diagnostic indicators. In the study presented here, 50 AD and 40 NDC human serum samples were probed onto human protein microarrays in order to identify differentially expressed autoantibodies. Microarray data was analyzed using several statistical significance algorithms, and autoantibodies that demonstrated significant group prevelance were selected as biomarkers of disease. Prediction classification analysis tested the diagnostic efficacy of the identified biomarkers; and differentiation of AD samples from other neurodegeneratively-diseased and non-neurodegeneratively-diseased controls (Parkinson's disease and breast cancer, respectively) confirmed their specificity.
2011-07-12 | E-GEOD-29676 | biostudies-arrayexpress
Project description:Mild cognitive impairment (MCI) is considered an early stage leading to dementia. MCI can be reversed, and early diagnosis at the MCI stage is vital to control the progression to dementia. Dementia is currently diagnosed based on interviews and screening tests. However, novel biomarkers must be identified to enable early detection of MCI. Therefore, this study aimed to discover novel biomarkers in the form of blood microRNAs (miRNAs) for the diagnosis of MCI or early dementia.
2023-12-06 | GSE249248 | GEO
Project description:Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancers. Late presentation of disease at the time of diagnosis is one of the major reasons for dismal prognostic outcomes for PDAC patients. Currently, there is a lack of clinical biomarkers which can be used to diagnose PDAC patients at an early resectable stage. This study performed proteomic mass spectrometry to identify novel blood-based biomarkers for early diagnosis of PDAC.
2024-03-05 | PXD046438 | Pride
Project description:Detection of Alzheimer’s Disease at Mild Cognitive Impairment and Disease Progression Using Autoantibodies as Blood-based Biomarkers
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Project description:Proteomic profiling of plasma extracellular vesicle in Parkinson's disease and multiple system atrophy to discover novel biomarkers for differential diagnosis.
2024-04-27 | PXD051111 | JPOST Repository
Project description:Parkinson's disease (PD) progresses relentlessly and affects five million people worldwide. Laboratory tests for PD are critically needed for developing treatments designed to slow or prevent progression of the disease. We performed a transcriptome-wide scan in 105 individuals to interrogate the molecular processes perturbed in cellular blood of patients with early-stage PD. The molecular marker here identified is strongly associated with risk of PD in 66 samples of the training set (third tertile cross-validated odds ratio of 5.7 {P for trend 0.005}). It is further validated in 39 independent test samples (third tertile odds ratio of 5.1 {P for trend 0.04}). The genes differentially expressed in patients with PD, or Alzheimer's or progressive supranuclear palsy offer unique insights into disease-linked processes detectable in peripheral blood. Combining gene expression scans in blood and linked clinical data will facilitate the rapid characterization of candidate biomarkers as demonstrated here with respect to PD. Experiment Overall Design: Whole blood expression data from 50 patients with Parkinson's disease, 33 with neurodegenerative diseases other than PD, and 23 healthy controls.
2008-11-22 | E-GEOD-6613 | biostudies-arrayexpress
Project description:Human serum samples from early-stage Parkinson's disease and non-diseased controls were probed onto human protein microarrays in order to identify differentially expressed autoantibody biomarkers that could be used as diagnostic indicators. Other neurodegenerative and non-neurodegenerative diseases were also used to help measure the specificity of the selected biomarkers.
2015-09-30 | GSE62283 | GEO
Project description:Hepatocellular carcinoma (HCC) is one of the most common malignancies worldwide, and is the one of the few cancers in which a continued increase in incidence has been observed over several years. HCC associated with chronic liver disease evolves from precancerous lesion and early HCC to overt cancer, and identifying key molecules contributing to early stage HCC is an urgent need. α-Fetoprotein (AFP) is the best serum biomarker for diagnosis of HCC, but sensitivity is low, particularly in detection of early-stage HCC. Therefore, novel and reliable diagnostic biomarkers to complement AFP are needed to improve HCC diagnosis. We aim to determine transcriptome-based molecular signature of multistep hepatocarcinogenesis, and to identify novel serum biomarkers to diagnose early stage HCC patient.
2020-12-31 | GSE114564 | GEO