Multiplex Immunofluorescence-defined CXCL13-associated TLS-like Niches Predict Outcome in Bladder Cancer
PURPOSE: Spatially organized tertiary lymphoid structure (TLS)-like niches may provide prognostic and therapeutic information beyond individual immune mediators such as CXCL13 in bladder cancer (BC). We evaluated the clinical and translational significance of multiplex immunofluorescence-defined TLS-like structures (mTLS) in BC. EXPERIMENTAL DESIGN: We analyzed 469 clinically annotated BC tumors using 41-plex multiplex immunofluorescence with the PhenoCycler platform. Bulk RNA sequencing, CIBERSORTx deconvolution, Cox modeling with CXCL13 as a continuous variable, and spatial neighborhood analysis were used to define mTLS-associated immune programs. Orthotopic BC mouse models treated with cisplatin and/or recombinant Cxcl13 followed by anti-PD-L1 blockade were analyzed by flow cytometry. RESULTS: mTLS were identified in 22.2% of tumors and were not apparent on routine histopathology. mTLS positivity was associated with immune activation, improved survival, and favorable response patterns in a small PD-L1 blockade-treated subset. In Cox models, mTLS remained independently associated with outcome, whereas continuous CXCL13 expression was not significant. Spatial profiling showed CXCL13/CXCR5-enriched B- and T-cell neighborhoods, including CXCL13-expressing and CXCR5-positive CD8+ T-cell subsets. In mouse models, cisplatin plus exogenous Cxcl13 was associated with lymphocyte infiltration, enrichment of CD8+ PD-1+ and CD8+ Cxcr5+ Cxcl13+ T-cell states, and sustained tumor control after PD-L1 blockade. CONCLUSIONS: mIF-defined mTLS identify a clinically relevant spatial immune architecture linked to favorable outcome and therapeutic responsiveness in BC. These findings support prospective evaluation of mTLS as a spatial biomarker for risk stratification and treatment sequencing, with CXCL13/CXCR5 features interpreted as contextual companion markers rather than standalone determinants.
Authors
- Tomohisa Matsunaga (ORCID: https://orcid.org/0000-0001-5238-2598)
- Junko Zenkoh (ORCID: https://orcid.org/0009-0004-2371-3641)
- Takuya Tsujino (ORCID: https://orcid.org/0000-0003-1559-1889)
- Yutaka Suzuki (ORCID: https://orcid.org/0000-0002-7559-5139)
- Kensuke Hirosuna (ORCID: https://orcid.org/0000-0002-9263-4929)
- Marimu Sakumoto
- Ryoichi Maenosono (ORCID: https://orcid.org/0000-0002-9045-5484)
- Yuki Yoshikawa (ORCID: https://orcid.org/0000-0001-8834-5051)
- Haruhito Azuma (ORCID: https://orcid.org/0000-0001-5497-1679)
- Mitsuaki Ishida (ORCID: https://orcid.org/0000-0002-9585-4118)
- Kazuki Nishimura (ORCID: https://orcid.org/0000-0002-2878-7664)
- Asuka Kawachi (ORCID: https://orcid.org/0000-0002-9199-8149)
- Takuya Izumi (ORCID: https://orcid.org/0000-0002-7067-1278)
- Maiko Seki
- Akihide Yoshimi (ORCID: https://orcid.org/0000-0002-0664-7281)
- Kazumasa Komura (ORCID: https://orcid.org/0000-0003-4157-1929)
- Junko Mukohyama (ORCID: https://orcid.org/0009-0002-9478-3853)
- Masahiko Ajiro (ORCID: https://orcid.org/0000-0002-7079-4788)
- Moritoshi Sakamoto
- Natsuko Shinohara
- Mayumi Hanzawa
Institutions
- Memorial Sloan Kettering Cancer Center (US)
- Kawasaki Medical School (JP)
- Tokyo Kasei University (JP)
- Kyoto University (JP)
- Hoshi University (JP)
- National Cancer Centre Japan (JP)
- Kavli Institute for the Physics and Mathematics of the Universe (JP)
- Jikei University Kashiwa hospital (JP)
- Osaka University of Pharmaceutical Sciences (JP)
Publication Details
- Journal
- Clinical Cancer Research
- Published
- 2026-09-29
- DOI
- https://doi.org/10.1158/1078-0432.ccr-26-1878
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 0.00