Evidence map›Paper›PMID 42909123›Full record

ArticleFrontiers in immunology2026

Integrated analyses identify MAN1B1 as a candidate regulator of chemotherapeutic tolerance and immunosuppression in bladder cancer.

Mingzhe Jiang, Dong Zhao, Liang Zhang, Dantong Zhu, Jia Li, Zhendong Zheng

Abstract read
In one paragraph

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

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mingzhe Jiang *Department of Oncology, General Hospital of Northern Theater Command, Shenyang, China.
Dong Zhao *Department of Oncology, General Hospital of Northern Theater Command, Shenyang, China.
Liang ZhangDepartment of Oncology, General Hospital of Northern Theater Command, Shenyang, China.
Dantong ZhuDepartment of Oncology, General Hospital of Northern Theater Command, Shenyang, China.
Jia LiDepartment of Oncology, General Hospital of Northern Theater Command, Shenyang, China.
Zhendong ZhengDepartment of Oncology, General Hospital of Northern Theater Command, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gemcitabine (GEM) resistance limits treatment efficacy in bladder cancer (BC). This study identified MAN1B1 as a key driving factor for chemotherapy resistance and malignant progression in BC. Methods: Bulk-RNA datasets GSE190636 and single-cell RNA-seq dataset GSE250523 from GEO. Use limma package to identify differentially expressed genes (DEGs) in the process of GEM resistance, and then perform GO and KEGG enrichment analysis. Screening candidate targets through molecular docking with GEM, and further evaluation through molecular dynamics simulation and GEPIA survival analysis. GSEA analysis is used to explore pathways associated with key genes. Perform single-cell analysis using Seurat, SingleR, Monocle 2, CellChat, and scTenifoldKnk, including cell annotation, pseudo time trajectory, intercellular communication, and virtual knockout. Carry out functional experiments in bladder cancer cell lines, including cell viability, wound healing Transwell, Colony formation and Western blot analysis. Results: Through comprehensive transcriptome analysis and single-cell sequencing, we found that elevated levels of MAN1B1 are associated with poorer clinical outcomes. Computational molecular docking and molecular dynamics simulations indicate the potential binding interaction between MAN1B1 and GEM.This enzyme orchestrates a dual microenvironmental reprogramming by hyperactivating metabolic cascades while simultaneously dampening anti-tumor immune surveillance, predominantly originating from the epithelial compartment to modulate intercellular crosstalk. Functional disturbance experiments showed that knockout of MAN1B1 was associated with decreased cell survival, migration, and invasion, as well as increased sensitivity to GEM, while ectopic expression of MAN1B1 increased cell survival and was associated with enhanced PI3K/AKT/mTOR pathway activity. Conclusions: Our findings uncover the multifaceted regulatory network governing MAN1B1, establishing its utility as an innovative prognostic indicator and an actionable therapeutic vulnerability for overcoming GEM insensitivity in urological oncology.

Indexed as

Drug Resistance, NeoplasmImmune ToleranceUrinary Bladder NeoplasmsAntimetabolites, AntineoplasticCell Line, TumorDeoxycytidineGemcitabineGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMolecular Docking SimulationMolecular Dynamics SimulationSignal TransductionAntimetabolites, AntineoplasticDeoxycytidineGemcitabinebladder cancergemcitabine toleranceimmune evasionMAN1B1metabolic rewiringPI3K-AKT-mTOR axissingle-cell transcriptomics

Identifiers

PMID42909123
PMCPMC13683804

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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.