Skip to content
DraconiticResearch
Search Sources API
186,541 studies31 sourcesUpdated 41 min ago
Peer-reviewedCC BY 4.0Frontiers in Oncology

Bladder cancer immune microenvironment: immune-cell distribution, disease associations, treatment remodeling, and baseline immune features associated with treatment response and prognosis

  1. 1School of Clinical Medicine, Shandong Second Medical University
  2. 2Linyi People’s Hospital, Shandong Second Medical University

Abstract

Bladder cancer is characterized by substantial heterogeneity in the tumor immune microenvironment (TIME), which influences recurrence, progression, treatment resistance, and responses to Bacillus Calmette–Guérin (BCG), neoadjuvant chemotherapy, immune checkpoint inhibitors, and radiotherapy. This narrative review critically synthesizes evidence on immune-cell distribution, disease-state associations, treatment-associated remodeling, and baseline immune features linked to treatment response and prognosis. Current evidence indicates that the clinical meaning of immune infiltration depends not only on cell abundance but also on localization across histological compartments, functional state, tumor compartment, and therapeutic context. Cytotoxic lymphocyte infiltration may indicate antitumor immune activity when tumor-accessible and functionally active, whereas regulatory T cells, myeloid-derived suppressor cells, and M2-like tumor-associated macrophages often reflect suppressive or treatment-resistant immune states. Treatments can reshape the bladder cancer TIME, but the strength of evidence varies across modalities: BCG has relatively stronger human support for treatment-associated immune changes, whereas evidence for chemotherapy-, immunotherapy-, and radiotherapy-associated remodeling remains more heterogeneous. Baseline or pretreatment immune architecture may provide a more informative basis for biomarker development than single immune-cell markers. Future longitudinal studies with matched pre- and post-treatment specimens are needed to determine whether treatment-induced TIME changes provide additional treatment-response-associated or prognostic information beyond baseline immune features, whereas establishment of predictive utility will require comparative treatment designs with formal biomarker-by-treatment interaction testing.

Related

  1. Integrative single-cell and computational pathology analyses reveal a C11orf24-associated stem-like epithelial population linked to tumor microenvironment remodeling and immune evasion in bladder cancer
    Yingjian Wang, Songxin Zhang, Xi Luo +9
    Translational OncologyPeer-reviewedCC BYFull textSurgery & anaesthesiaDOAJEurope PMCPMC
  2. Tongxinluo is associated with neurovascular changes following rt-PA-treated ischemic stroke: associations with inflammation, vascular remodeling, and neural plasticity
    Meiling Xiao, Wei Ding, Xiaoqu Zuo +1
    Frontiers in NeurologyPeer-reviewedCC BY 4.0Full textEpidemiology & public healthCrossrefEurope PMCPMC
  3. Limosilactobacillus reuteri ameliorates diet-associated metabolic dysfunction in PCOS-like rats: associations with intestinal lipid remodeling and GPR120-related regulation
    Cong Wang, Cong Wang, Shang Li +23
    Frontiers in NutritionPeer-reviewedCC BYFull textNutritionDOAJ
  4. HPV6/11 Persistence and Treatment-Associated Immune Remodeling in Recurrent Respiratory Papillomatosis: A Cross-Cohort Transcriptomic Analysis.
    Natalia Jędruchniewicz, Tomasz Klimek, Hanna Klimza +2
    VirusesPeer-reviewedCC BYFull textEpidemiology & public healthEurope PMC
  5. Neoadjuvant treatment is associated with fibrotic and transcriptional remodeling of tumor-draining lymph nodes in rectal cancer
    Yihang Shi, Zhixun Zhao, Yuegang Li +9
    Frontiers in ImmunologyPeer-reviewedCC BY 4.0Full textImmunologyGeneral medicineFrontiersDOAJCrossref
BibTeX
@article{qin2026bladder,
  title = {{Bladder cancer immune microenvironment: immune-cell distribution, disease associations, treatment remodeling, and baseline immune features associated with treatment response and prognosis}},
  author = {Shaobo Qin and Xu Yu and Shishuai Zuo and Xiangfei He and Jie Liu},
  journal = {Frontiers in Oncology},
  year = {2026},
  month = oct,
  doi = {10.3389/fonc.2026.1985263},
  url = {https://www.frontiersin.org/articles/10.3389/fonc.2026.1985263/full},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Bladder cancer immune microenvironment: immune-cell distribution, disease associations, treatment remodeling, and baseline immune features associated with treatment response and prognosis
AU  - Shaobo Qin
AU  - Xu Yu
AU  - Shishuai Zuo
AU  - Xiangfei He
AU  - Jie Liu
PY  - 2026
DA  - 2026/10/27
JO  - Frontiers in Oncology
DO  - 10.3389/fonc.2026.1985263
UR  - https://www.frontiersin.org/articles/10.3389/fonc.2026.1985263/full
AB  - Bladder cancer is characterized by substantial heterogeneity in the tumor immune microenvironment (TIME), which influences recurrence, progression, treatment resistance, and responses to Bacillus Calmette–Guérin (BCG), neoadjuvant chemotherapy, immune checkpoint inhibitors, and radiotherapy. This narrative review critically synthesizes evidence on immune-cell distribution, disease-state associations, treatment-associated remodeling, and baseline immune features linked to treatment response and prognosis. Current evidence indicates that the clinical meaning of immune infiltration depends not only on cell abundance but also on localization across histological compartments, functional state, tumor compartment, and therapeutic context. Cytotoxic lymphocyte infiltration may indicate antitumor immune activity when tumor-accessible and functionally active, whereas regulatory T cells, myeloid-derived suppressor cells, and M2-like tumor-associated macrophages often reflect suppressive or treatment-resistant immune states. Treatments can reshape the bladder cancer TIME, but the strength of evidence varies across modalities: BCG has relatively stronger human support for treatment-associated immune changes, whereas evidence for chemotherapy-, immunotherapy-, and radiotherapy-associated remodeling remains more heterogeneous. Baseline or pretreatment immune architecture may provide a more informative basis for biomarker development than single immune-cell markers. Future longitudinal studies with matched pre- and post-treatment specimens are needed to determine whether treatment-induced TIME changes provide additional treatment-response-associated or prognostic information beyond baseline immune features, whereas establishment of predictive utility will require comparative treatment designs with formal biomarker-by-treatment interaction testing.
SN  - 2234-943X
ER  -