Evidence map›Paper›PMID 41493646›Full record

ArticleGlycoconjugate journal2026

Integrating plasma protein-centric multi-omics to evaluate the causal effect of glycosylation on the risk of cancer.

Zhi Geng, Kangwei Qi, Long Yu, Yuanyuan Ruan, Jianxin Gu, Shushu Song

Abstract read
PubMed Publisher
In one paragraph

Article in Glycoconjugate journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Zhi Geng *NHC Key Laboratory of Glycoconjugates Research & Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, P.R. China.
Kangwei Qi *NHC Key Laboratory of Glycoconjugates Research & Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, P.R. China.
Long YuNHC Key Laboratory of Glycoconjugates Research & Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, P.R. China.
Yuanyuan RuanNHC Key Laboratory of Glycoconjugates Research & Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, P.R. China.
Jianxin GuNHC Key Laboratory of Glycoconjugates Research & Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, P.R. China.
Shushu SongNHC Key Laboratory of Glycoconjugates Research & Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, P.R. China. shushusong@fudan.edu.cn.

Funding

National Natural Science Fund 82273385Shanghai Health Commission Fund 20224Y0119
6 · The paper itself

Abstract

Glycosylation is a crucial post-translational modification, and numerous studies have reported its significant role in cancer progression. Nevertheless, no study has comprehensively analyzed the causal effect of glycosylation on the risk of cancer till now. Herein, we identified 32 SNPs of glycosylation-related genes (GRGs) that correlated with the risk of 8 kinds of cancer by summary-statistics-based mendelian randomization (SMR) analysis for genome-wide association study (GWAS) data. Next, the heterogeneity in dependent instrument (HEIDI) test and colocalisation analysis were utilized to verify the heterogeneity and consistency of SMR results. Further fine-mapping of causal gene set (FOCUS) analysis based on transcriptome-wide association study (TWAS) data showed that rs9810189 of ST6GAL1 and rs223489 of MANBA were negatively correlated with the risk of breast cancer and squamous cell carcinoma, respectively. Moreover, the MANBA protein in blood plasma also exhibited a probably negative causal effect on squamous cell carcinoma according to two-sample MR analyses for protein quantitative trait locus (pQTLs). In addition, single-cell RNA sequencing analysis and Kaplan-Meier plot analysis were performed to evaluate the potential role of GRGs in corresponding cancer prioritized by the above MR analysis. Finally, we attempted to illustrate the function of glycosyltransferases and investigate the druggable status of GRGs. Together, our study comprehensively analyzed the causal effect of glycosylation on cancer risk and identified potential strategies for cancer treatment.

Indexed as

Blood ProteinsNeoplasmsAntigens, CDbeta-D-Galactoside alpha 2-6-SialyltransferaseFemaleGenome-Wide Association StudyGlycosylationHumansMendelian Randomization AnalysisMultiomicsPolymorphism, Single NucleotideQuantitative Trait LociRisk FactorsSialyltransferasesAntigens, CDbeta-D-Galactoside alpha 2-6-SialyltransferaseBlood ProteinsSialyltransferasesST6GAL1 protein, humanCancerGlycosylationMendelian randomization analysisMulti-omics

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.