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Decoding the glycoproteome: a new frontier for biomarker discovery in cancer.
He, Kai; Baniasad, Maryam; Kwon, Hyunwoo; Caval, Tomislav; Xu, Gege; Lebrilla, Carlito; Hommes, Daniel W; Bertozzi, Carolyn.
Affiliation
  • He K; James Comprehensive Cancer Center, The Ohio State University, Columbus, USA. kai.he@osumc.edu.
  • Baniasad M; InterVenn Biosciences, South San Francisco, USA.
  • Kwon H; James Comprehensive Cancer Center, The Ohio State University, Columbus, USA.
  • Caval T; InterVenn Biosciences, South San Francisco, USA.
  • Xu G; InterVenn Biosciences, South San Francisco, USA.
  • Lebrilla C; Department of Biochemistry and Molecular Medicine, UC Davis Health, Sacramento, USA.
  • Hommes DW; InterVenn Biosciences, South San Francisco, USA.
  • Bertozzi C; Department of Chemistry, Stanford University, Stanford, USA.
J Hematol Oncol ; 17(1): 12, 2024 03 22.
Article in En | MEDLINE | ID: mdl-38515194
ABSTRACT
Cancer early detection and treatment response prediction continue to pose significant challenges. Cancer liquid biopsies focusing on detecting circulating tumor cells (CTCs) and DNA (ctDNA) have shown enormous potential due to their non-invasive nature and the implications in precision cancer management. Recently, liquid biopsy has been further expanded to profile glycoproteins, which are the products of post-translational modifications of proteins and play key roles in both normal and pathological processes, including cancers. The advancements in chemical and mass spectrometry-based technologies and artificial intelligence-based platforms have enabled extensive studies of cancer and organ-specific changes in glycans and glycoproteins through glycomics and glycoproteomics. Glycoproteomic analysis has emerged as a promising tool for biomarker discovery and development in early detection of cancers and prediction of treatment efficacy including response to immunotherapies. These biomarkers could play a crucial role in aiding in early intervention and personalized therapy decisions. In this review, we summarize the significant advance in cancer glycoproteomic biomarker studies and the promise and challenges in integration into clinical practice to improve cancer patient care.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Neoplasms Limits: Humans Language: En Journal: J Hematol Oncol Journal subject: HEMATOLOGIA / NEOPLASIAS Year: 2024 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Neoplasms Limits: Humans Language: En Journal: J Hematol Oncol Journal subject: HEMATOLOGIA / NEOPLASIAS Year: 2024 Document type: Article Affiliation country: United States