The total serum N-glycome landscape of hematological malignancies

A holistic and dynamic view of the glycomic landscape in hematological malignancies (HMs) remains poorly characterized, hindering clinical the application of glycomics in HMs. We launched a large-scale analysis of multicenter cohorts, combining retrospective (n=1,370) and prospective longitudinal (n=130) data across major HM types. We defined distinct total serum N‑glycome (TSNG) profiles for multiple myeloma, lymphoma, and acute leukemia at diagnosis, revealing shared and disease-specific signatures that support their diagnostic and subtyping potential. TSNG features changed with disease status. Key glycans decreased significantly upon complete remission and increased again at relapse. Receiver operating characteristic curve analyses demonstrated that TSNG could distinguish disease states, supporting its utility for assessing treatment response. We systematically mapped the TSNG landscape of HMs, established its clinical relevance across diagnosis, subtyping, and treatment monitoring, providing a framework for advancing the glycomics-based understanding and management of these malignancies.

Authors

Institutions

Publication Details

Journal
Blood Advances
Published
2026-10-06
DOI
https://doi.org/10.1182/bloodadvances.2026020546
Primary Topic
Glycosylation and Glycoproteins Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The total serum N-glycome landscape of hematological malignancies

Yuwen Zhou, 朱学骏, Cuiying Chitty Chen, Hua Bai et al.
Blood Advances
Glycosylation and Glycoproteins Research
article

The total serum N-glycome landscape of hematological malignancies

Yuwen Zhou, 朱学骏, Cuiying Chitty Chen, Hua Bai, 张君丽, Jian Ouyang, Di Zhou, Xiaoyan Shao, Jing Wang, Jue Wang, Lei Xu, Xiaofeng Shi, Xuezhong Zhang, Yan Xu, Dongming Zhou, Cuiling Zhang, Chao Zhang, Yueyi Xu, Peipei Xu, Yonggong Yang, Xiaoqing Dong, Bing Chen, Hongming Huang, Yong Xu
article en

Abstract

A holistic and dynamic view of the glycomic landscape in hematological malignancies (HMs) remains poorly characterized, hindering clinical the application of glycomics in HMs. We launched a large-scale analysis of multicenter cohorts, combining retrospective (n=1,370) and prospective longitudinal (n=130) data across major HM types. We defined distinct total serum N‑glycome (TSNG) profiles for multiple myeloma, lymphoma, and acute leukemia at diagnosis, revealing shared and disease-specific signatures that support their diagnostic and subtyping potential. TSNG features changed with disease status. Key glycans decreased significantly upon complete remission and increased again at relapse. Receiver operating characteristic curve analyses demonstrated that TSNG could distinguish disease states, supporting its utility for assessing treatment response. We systematically mapped the TSNG landscape of HMs, established its clinical relevance across diagnosis, subtyping, and treatment monitoring, providing a framework for advancing the glycomics-based understanding and management of these malignancies.

Blood Advances
Nanjing University of Chinese Medicine (CN), Nantong University (CN), Affiliated Hospital of Nantong University (CN), Nanjing Drum Tower Hospital (CN), Affiliated Hospital of Jiangsu University (CN), Jiangsu Provincial Hospital of Traditional Chinese Medicine (CN), Nanjing First Hospital (CN), Nanjing Medical University (CN), Nanjing University (CN)
Openalex Percentile: Top 22%
Glycosylation and Glycoproteins Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.