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Multiomics in cancer biomarker discovery and cancer subtyping.
Adv Clin Chem
January 2025
School of Biosystem and Biomedical Science, College of Health Science, Korea University, Seoul, Republic of Korea; Department of Integrated Biomedical and Life Science, Korea University, Seoul, Republic of Korea; BK21FOUR R&E Center for Learning Health Systems, Korea University, Seoul, Republic of Korea; L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, Republic of Korea. Electronic address:
The advent of multiomics has ushered in a new era of cancer research characterized by integrated genomic, transcriptomic and proteomic analysis to unravel the complexities of cancer biology and facilitate the discovery of novel biomarkers. This chapter provides a comprehensive overview of the concept of multiomics, detailing the significant advances in the underlying technologies and their contributions to our understanding of cancer. It delves into the evolution of genomics and transcriptomics, breakthroughs in proteomics, and overarching progress in multiomic methodologies, highlighting their collective impact on cancer biomarker discovery.
View Article and Find Full Text PDFProtein molecular structures of USP53, NPY2R, and DCTN1-AS1 and impact on tumors: Analysis of prognostic biomarkers for diffuse large B-cell lymphoma.
Int J Biol Macromol
January 2025
Department of Radiotherapy, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang 150081, China. Electronic address:
In the past few years, three protein molecules-USP53, NPY2R, and DCTN1-AS1-have garnered significant attention in scientific research due to their potential implications in tumor development. Mass spectrometry and proteomics techniques were used to analyze the three-dimensional structure of these protein molecules and predict their active sites and functional domains. The effects of USP53, NPY2R and DCTN1-AS1 on biological behavior of tumor cells were studied by constructing gene knockout and overexpression cell models.
View Article and Find Full Text PDFChapter 13: 2022 WHO CLASSIFICATION OF PARATHYROID TUMORS.
Ann Endocrinol (Paris)
January 2025
Institute of Pathology CHU Lille, University of Lille, 59000 Lille cedex, France. Electronic address:
The latest 2022 WHO classification of the parathyroid tumors incorporates recent data on parathyroid pathophysiology, in particular from genetic sequencing. It highlights histological features potentially indicative of underlying genetic abnormalities, because of their implications for patient management. Immunohistochemical markers can help characterize parathyroid lesions and molecular screening.
View Article and Find Full Text PDFHigh expression of ARPC1B promotes the proliferation and Apoptosis of clear cell renal cell carcinoma cells, leading to a poor prognosis.
Mol Cell Probes
January 2025
Department of Urology Surgery, Lanzhou University Second Hospital, Lanzhou, 730030, China; Department of Microbiome Laboratory, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450003, China. Electronic address:
Background: ARPC1B has been identified as a key regulator of malignant biological behavior in various tumors. However, its specific role in clear cell renal cell carcinoma (ccRCC) remains poorly understood. This study aims to evaluate the influence of ARPC1B on the prognosis and disease progression in ccRCC patients.
View Article and Find Full Text PDFSpatial profiling of endoplasmic reticulum stress markers in tumor associated cells predicts patient outcomes in pancreatic cancer.
Neoplasia
January 2025
Children's Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW 2031, Australia; School of Clinical Medicine, Faculty of Medicine & Health, University of New South Wales, Kensington, New South Wales 2031, Australia; UNSW Centre for Childhood Cancer Research, Faculty of Medicine &Health, University of New South Wales, Kensington, New South Wales 2031, Australia; Australian Centre for NanoMedicine, University of New South Wales, Sydney, NSW 2031, Australia. Electronic address:
Introduction: The impact of endoplasmic reticulum (ER) stress in tumor-associated cells, such as cancer associated fibroblasts (CAFs), immune cells and endothelial cells, on patient outcomes in clinical specimens have not been examined. For the first time, we characterized the expression and spatial locations of ER stress markers, BiP and CHOP, in tumor-associated cells and assessed their prognostic significance in a panel of pancreatic ductal adenocarcinoma (PDAC) patient samples.
Methods: Multiplex immunofluorescence was performed on tumor microarrays and images were analyzed using HALO AI software.
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