Despite advances in proteomic technologies, clinical translation of plasma biomarkers remains low, partly due to a major bottleneck between the discovery of candidate biomarkers and costly clinical validation studies. Due to a dearth of multiplexable assays, generally only a few candidate biomarkers are tested, and the validation success rate is accordingly low. Previously, mass spectrometry-based approaches have been used to fill this gap but feature poor quantitative performance and were generally limited to hundreds of proteins. Here, we demonstrate the capability of an internal standard triggered-parallel reaction monitoring (IS-PRM) assay to greatly expand the numbers of candidates that can be tested with improved quantitative performance. The assay couples immunodepletion and fractionation with IS-PRM and was developed and implemented in human plasma to quantify 5176 peptides representing 1314 breast cancer biomarker candidates. Characterization of the IS-PRM assay demonstrated the precision (median % CV of 7.7%), linearity (median > 0.999 over 4 orders of magnitude), and sensitivity (median LLOQ < 1 fmol, approximately) to enable rank-ordering of candidate biomarkers for validation studies. Using three plasma pools from breast cancer patients and three control pools, 893 proteins were quantified, of which 162 candidate biomarkers were verified in at least one of the cancer pools and 22 were verified in all three cancer pools. The assay greatly expands capabilities for quantification of large numbers of proteins and is well suited for prioritization of viable candidate biomarkers.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9280723 | PMC |
http://dx.doi.org/10.1021/acs.analchem.1c04382 | DOI Listing |
Discov Oncol
December 2024
School of Clinical Medicine, Dali University, Dali, 671000, Yunnan, People's Republic of China.
Objective: Searching for potential biomarkers and therapeutic targets for early diagnosis of gynecological tumors to improve patient survival.
Methods: Microarray datasets of cervical cancer (CC) and ovarian cancer (OC) were downloaded from the Gene Expression Omnibus (GEO) database, then, differential gene expression between cancerous and normal tissues in the datasets was analyzed. Weighted gene co-expression network analysis (WGCNA) was performed to screen for co-expression modules associated with CC and OC.
Am J Gastroenterol
December 2024
University of Texas Medical Branch, Galveston Texas, USA.
Background And Aim: Data are limited regarding etiology-specific trends for delisting and re-compensation for liver disease improvement among liver transplant (LT) listed candidates in the US.
Methods And Results: A retrospective cohort (2002-2022) using UNOS database examined etiology-specific trends for delisting and re-compensation due to liver disease improvement among candidates listed for LT. Of 120,451 listings in adults, 34,444 (2002-08), 38,296 (2009-2015), 47,711 (2016-2022) were analyzed.
Alzheimers Dement
December 2024
Department of Neurology, Zhongshan Hospital and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Introduction: Increasing evidence has highlighted rare variants in Alzheimer's disease (AD). However, insufficient sample sizes, especially in underrepresented ethnic groups, hinder their investigation. Additionally, their impact on endophenotypes remains largely unexplored.
View Article and Find Full Text PDFFront Neuroimaging
December 2024
First Department of Neurology, Aiginition Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
Introduction: Adjustable lifestyle factors, such as diet, are associated with cognitive functions, structural and functional brain measures, but the association between the functional connectivity (FC) and the Mediterranean Diet (Medicine) in population without dementia is yet to be explored.
Methods: The association between MeDi and brain FC in 105 individuals without dementia aged 63 (SD ± 8.72) years old who underwent brain MRI including resting-state (rs) functional MRI (fMRI) was examined.
J Inflamm Res
December 2024
School of Basic Medical Sciences, Guangdong Pharmaceutical University, Guangzhou, People's Republic of China.
Background: Hyperuricemia (HUA), a common metabolic disorder associated with gout, renal dysfunction, and systemic inflammation, necessitates safer and more comprehensive therapeutic approaches. Traditional Tibetan medicine has a rich history of treating HUA. This study aimed to identify novel anti-hyperuricemic herb derived from traditional Tibetan medicine.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!