Evidence map›Paper›PMID 40285620›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Deciphering the Metabolic Impact and Clinical Relevance of N-Glycosylation in Colorectal Cancer through Comprehensive Glycoproteomic Profiling.

Guobin Liu, Lu Chen, Jingxiang Zhao, Yue Jiang, Yarong Guo, Xiang Mao, Xuelian Ren, Kun Liu, Qi Mei, Qunyi Li and 1 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Guobin LiuState Key Laboratory of Chemical Biology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Lu ChenDepartment of Pharmacy, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Jingxiang ZhaoState Key Laboratory of Chemical Biology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Yue JiangSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang, 110819, China.
Yarong GuoDepartment of Digestive System Oncology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China.
Xiang MaoDepartment of Surgery, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Xuelian RenState Key Laboratory of Chemical Biology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Kun LiuSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang, 110819, China.
Qi MeiDepartment of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Qunyi LiDepartment of Pharmacy, Huashan Hospital, Fudan University, Shanghai, 200040, China.
He HuangState Key Laboratory of Chemical Biology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.ORCID https://orcid.org/0000-0001-6998-8131

Funding

National Natural Science Foundation of China 22277125National Natural Science Foundation of China 92253306Natural Science Foundation of Shanghai 23ZR1474600Shandong Laboratory Program SYS202205Shanghai Municipal Science and Technology Major ProjectStrategic Priority Research Program of the Chinese Academy of Sciences XDB1060000
6 · The paper itself

Abstract

Colorectal cancer (CRC) progression is driven by complex metabolic alterations, including aberrant N-glycosylation patterns that critically influence tumor development. However, the metabolic and functional roles of N-glycosylation in CRC remain poorly understood. Herein, comprehensive proteomic and N-linked intact glycoproteomics analyses are performed on 45 CRC tumors, and normal adjacent tissues (NATs) are matched, identifying 7125 intact N-glycopeptides from 704 glycoproteins. Through analysis of glycoform expression profiles and structural characteristics, a glycosylation site-protein function association network is constructed to uncover metabolic dysregulation driven by N-glycosylation in CRC. Moreover, an arithmetic model is developed that integrates N-glycan expression patterns, which effectively distinguishes tumors from NATs, reflecting metabolic reprogramming in cancer. These findings identify Chloride Channel Accessory 1 (CLCA1) and Olfactomedin 4 (OLFM4) as potential metabolic biomarkers for CRC diagnosis. Immunohistochemistry and Cox regression analyses validated the prognostic power of these markers. Notably, the critical role of specific N-glycosylation at N196 of Adipocyte plasma membrane-associated protein (APMAP) is highlighted, a key player in tumor metabolism and CRC progression, providing a potential target for therapeutic intervention. These findings offer valuable insights into the metabolic roles of N-glycosylation in CRC, advancing biomarker discovery, enhancing metabolic-based diagnostic precision, and improving personalized treatment strategies targeting cancer metabolism.

Indexed as

Colorectal NeoplasmsGlycoproteinsProteomicsAgedBiomarkers, TumorClinical RelevanceFemaleGlycosylationGranulocyte Colony-Stimulating FactorHumansMaleMiddle AgedBiomarkers, TumorGlycoproteinsGranulocyte Colony-Stimulating FactorOLFM4 protein, humanclinical relevancecolorectal cancerfunctionsglycoproteomicsintact N‐glycopeptides

Identifiers

PMID40285620
PMCPMC12140321

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.