Abstract 6475: Characterizing peri-tumoral tertiary lymphoid structures in non-muscle invasive bladder cancer using a spatial whole transcriptomics approach

Abstract Background: Intravesical Bacillus Calmette-Guérin (BCG) immunotherapy is the gold standard for high-risk NMIBC, however over half of patients experience early recurrence or disease progression, highlighting the need for reliable predictive biomarkers. Our previous research identified that B cell dominant peri-tumoral tertiary lymphoid structures (TLSs) evolve during chronic carcinogenesis in a subset of patients who experience early recurrence or progression. TLSs generally correlate with favorable outcomes following treatment with immune checkpoint inhibitors, chemotherapy or oncolytic viruses. In contrast, their abundance in peri-tumoral regions in BCG-naïve NMIBC tumors associates with poor prognosis. This highlights the importance of their in-depth characterization and further exploring their biomarker potential in NMIBC. Methods: Peri-tumoral TLSs and tumor epithelial regions were profiled using the NanoString GeoMx Digital Spatial Profiler based whole transcriptome analysis. Multiplex Immunofluorescence was performed to infer spatial profiles of B, T and myeloid cell functional states as well as immune checkpoint proteins. Results: Spatial whole transcriptome analysis displayed increased expression of genes associated with antigen presentation, complement activation, B cell recruiting chemokines, and immunoglobulins in the TLSs regions. Tumor epithelial regions located adjacent to TLSs showed elevated expression of genes reflective of a luminal subtype. Increased PD-1+ cells in the peri-tumoral regions and enrichment of luminal subtype genes in the epithelial compartment indicated cancer cell intrinsic aggressive features associated with immune exclusion. Conclusion: The novel findings from this study will help establish peri-tumoral TLSs as biomarkers for predicting BCG therapy response, enabling early identification of patients who may benefit from alternative immunomodulatory treatments like oncolytic viruses, gemcitabine-docetaxel chemotherapy, or immune checkpoint inhibitors. Citation Format: Kartik Sachdeva. Characterizing peri-tumoral tertiary lymphoid structures in non-muscle invasive bladder cancer using a spatial whole transcriptomics approach [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 6475.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2025-04-21
DOI
https://doi.org/10.1158/1538-7445.am2025-6475
Primary Topic
Bladder and Urothelial Cancer Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 6475: Characterizing peri-tumoral tertiary lymphoid structures in non-muscle invasive bladder cancer using a spatial whole transcriptomics approach

Kartik Sachdeva
Cancer Research
Bladder and Urothelial Cancer Treatments
article

Abstract 6475: Characterizing peri-tumoral tertiary lymphoid structures in non-muscle invasive bladder cancer using a spatial whole transcriptomics approach

Kartik Sachdeva
article en

Abstract

Abstract Background: Intravesical Bacillus Calmette-Guérin (BCG) immunotherapy is the gold standard for high-risk NMIBC, however over half of patients experience early recurrence or disease progression, highlighting the need for reliable predictive biomarkers. Our previous research identified that B cell dominant peri-tumoral tertiary lymphoid structures (TLSs) evolve during chronic carcinogenesis in a subset of patients who experience early recurrence or progression. TLSs generally correlate with favorable outcomes following treatment with immune checkpoint inhibitors, chemotherapy or oncolytic viruses. In contrast, their abundance in peri-tumoral regions in BCG-naïve NMIBC tumors associates with poor prognosis. This highlights the importance of their in-depth characterization and further exploring their biomarker potential in NMIBC. Methods: Peri-tumoral TLSs and tumor epithelial regions were profiled using the NanoString GeoMx Digital Spatial Profiler based whole transcriptome analysis. Multiplex Immunofluorescence was performed to infer spatial profiles of B, T and myeloid cell functional states as well as immune checkpoint proteins. Results: Spatial whole transcriptome analysis displayed increased expression of genes associated with antigen presentation, complement activation, B cell recruiting chemokines, and immunoglobulins in the TLSs regions. Tumor epithelial regions located adjacent to TLSs showed elevated expression of genes reflective of a luminal subtype. Increased PD-1+ cells in the peri-tumoral regions and enrichment of luminal subtype genes in the epithelial compartment indicated cancer cell intrinsic aggressive features associated with immune exclusion. Conclusion: The novel findings from this study will help establish peri-tumoral TLSs as biomarkers for predicting BCG therapy response, enabling early identification of patients who may benefit from alternative immunomodulatory treatments like oncolytic viruses, gemcitabine-docetaxel chemotherapy, or immune checkpoint inhibitors. Citation Format: Kartik Sachdeva. Characterizing peri-tumoral tertiary lymphoid structures in non-muscle invasive bladder cancer using a spatial whole transcriptomics approach [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 6475.

Cancer ResearchVol. 85(8_Supplement_1)
Queen's University (CA)
Openalex Percentile: Top 86%
Bladder and Urothelial Cancer Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.