Evidence map›Paper›PMID 41800715›Full record

ArticleHuman vaccines & immunotherapeutics2026

Immunotherapy impact of macrophage glycosylation on cholangiocarcinoma and its prognostic and immune microenvironment significance.

Yufen Xu, Xiaofang Xu, Yan Xu, Jianwen Duan

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 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

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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

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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

4 authors.

Yufen XuOncology Department, The Affiliated Hospital of Jiaxing University, Jiaxing, China.
Xiaofang XuOncology Department, The Affiliated Hospital of Jiaxing University, Jiaxing, China.
Yan XuDepartment of Teaching and Training, The Affiliated Hospital of Jiaxing University, Jiaxing, China.
Jianwen DuanDepartment of Hepatobiliary Surgery, Quzhou People's Hospital (Central Hospital of the Four Provinces), Quzhou, China.ORCID 0000-0002-0651-8607

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cholangiocarcinoma (CCA) has a complex tumor microenvironment that critically influences tumor progression and therapeutic resistance. Glycosylation abnormalities have been linked to cancer growth and progression. This work was designed to develop a prognostic model based on glycosylation-related genes (GRGs) for predicting CCA outcomes and immunotherapy responses. Glycosylation patterns in macrophage subsets of CCA were analyzed via scRNA-seq. Key genes were identified by integrating module genes from WGCNA and DEGs. A risk model for CCA was established utilizing LASSO Cox regression. In vitro tests were conducted to validate the function of PGK1. The immune checkpoint blockade group exhibited elevated M1 signature scores and higher glycosylation levels. A risk model incorporating five genes (ANXA3, PGK1, PLAUR, CREB5, SPP1) for CCA was established. The high macrophage glycosylation-related risk score group had a considerable infiltration of M0 macrophages. In vitro experiments confirmed that PGK1 advanced glycation end products accumulation, drove M2 polarization of macrophages, and increased CCA cell proliferation and migration. This work proposes a glycosylation-based risk model for predicting CCA prognosis and directing therapeutic strategies. PGK1 is highlighted as a potential therapeutic target in CCA.

Indexed as

Bile Duct NeoplasmsCholangiocarcinomaImmunotherapyMacrophagesTumor MicroenvironmentCell Line, TumorCell ProliferationGlycosylationHumansPhosphoglycerate KinasePrognosisPGK1 protein, humanPhosphoglycerate KinaseCholangiocarcinomaglycosylationimmunotherapymacrophageprognosis

Identifiers

PMID41800715
PMCPMC12973474

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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.