PLoS MedicineGenomicsPeer-reviewed journal article
Contribution of systemic and somatic factors to clinical response and resistance in urothelial cancer: an exploratory multi-omic analysis
Alexandra SnyderiD, Tavi NathansoniD, Samuel Aaron FuntiD, Arun AhujaiD, Jacqueline L. BurosiD, Matthew David HellmanniD, Eliza ChangiD, Bülent Arman AksoyiD, Hikmat A Al‐AhmadieiD, Erik C. Yusko, Marissa VignaliiD, Sharon BenzenoiD, Mariel Elena Boyd, Meredith Maisie Moran, Gopa IyeriD, Harlan S. RobinsiD, Elaine R. MardisiD, Taha MerghoubiD, Jeff HammerbacheriD, Jonathan E. RosenbergiD, Dean F. BajoriniD
Abstract
BackgroundInhibition of programmed death-ligand one (PD-L1) with atezolizumab can induce durable clinical benefit (DCB) in patients with metastatic urothelial cancers, including complete remissions in patients with chemotherapy refractory disease. Although mutation load and PD-L1 immune cell (IC) staining have been associated with response, they lack sufficient sensitivity and specificity for clinical use. Thus, there is a need to evaluate the peripheral blood immune environment and to conduct detailed analyses of mutation load, predicted neoantigens and immune cellular infiltration in tumors to enhance our understanding of the biologic underpinnings of response and resistance.\n\nMethods and FindingsThe goals of this study were to (1) evaluate the association of mutation load and predicted neoantigen load with therapeutic benefit, and (2) determine whether intratumoral and peripheral blood T cell receptor (TCR) clonality inform clinical outcomes in urothelial carcinoma treated with atezolizumab. We hypothesized that an elevated mutation load in combination with T cell clonal dominance among intratumoral lymphocytes prior to treatment or among peripheral T cells after treatment would be associated with effective tumor control upon treatment with anti-PD-L1 therapy. We performed whole exome sequencing (WES), RNA sequencing (RNA-seq), and T cell receptor sequencing (TCR-seq) of pre-treatment tumor samples as well as TCR sequencing of matched, serially collected peripheral blood collected before and after treatment with atezolizumab. These parameters were assessed for correlation with DCB (defined as progression free survival (PFS) > 6 months), PFS, and overall survival (OS), both alone and in the context of clinical and intratumoral parameters known to be predictive of survival in this disease state.\n\nPatients with DCB displayed a higher proportion of tumor infiltrating T lymphocytes (TIL) (n=24, Mann-Whitney p=0.047). Pre-treatment peripheral blood TCR clonality below the median was associated with improved PFS (n=29, log-rank p=0.048) and OS (n=29, log-rank p=0.011). Patients with DCB also demonstrated more substantial expansion of tumor-associated TCR clones in the peripheral blood 3 weeks after starting treatment (n=22, Mann-Whitney p=0.022). The combination of high pre-treatment peripheral blood TCR clonality with elevated PD-L1 IC staining in tumor tissue was strongly associated with poor clinical outcomes (n=10, HR (mean)=89.88, HR (median)=23.41, 95% CI (2.43, 506.94), p(HR>1)=0.0014). Marked variations in mutation loads were seen with different somatic variant calling methodologies, which in turn impacted associations with clinical outcomes. Missense mutation load, predicted neoantigen load and expressed neoantigen load did not demonstrate significant association with DCB (n=25, Mann-Whitney p=0.22, n=25, Mann-Whitney p=0.55, and n=25, Mann-Whitney p=0.29 respectively). Instead, we found evidence of time-varying effects of somatic mutation load on progression-free survival in this cohort (n=25, p=0.044). A limitation of our study is its small sample size (n=29), a subset of the patients treated on IMvigor 210 (NCT02108652). Given the number of exploratory analyses performed, we intend for these results to be hypothesis-generating.\n\nConclusionsThese results demonstrate the complex nature of immune response to checkpoint blockade and the compelling need for greater interrogation and data integration of both host and tumor factors. Incorporating these variables in prospective studies will facilitate identification and treatment of resistant patients.
- organism: human
- assay: whole-exome sequencing
- assay: long-read sequencing
- assay: proteomics
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 342
- FWCI
- 15.79
- Field percentile
- top 1%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Myeloid cell-associated resistance to PD-1/PD-L1 blockade in urothelial cancer revealed through bulk and single-cell RNA sequencing
Li Wang, John P. Sfakianos, … Matthew D. Galsky·Clinical Cancer ResearchPeer-reviewed·Apr 9, 2021
- Tumor B cell infiltration in platinum-treated advanced urothelial carcinoma
Konrad Stawiski, Júlia Perera‐Bel, … Joaquim Bellmunt B·bioRxiv·Feb 27, 2025
- Single-cell trajectories in metastatic urothelial carcinoma reveal tumor-immune reprogramming and macrophage-driven resistance to PD-(L)1 blockade
Ronan Flippot, Amélie Roehrig, … Yohann Loriot·bioRxiv·Apr 2, 2026
- Induction of a CD8 T cell intrinsic DNA damage and repair response is associated with clinical response to PD-1 blockade in uterine cancer.
Y. Muroyama, S. Manne, … E. J. Wherry·bioRxiv·Apr 16, 2022
- T Cell-to-Stroma Enrichment (TSE) score: a gene expression metric that predicts response to immune checkpoint inhibitors in patients with urothelial cancer
M. M. Rijnders, J. A. Nakauma-Gonzalez, … M. P. Lolkema·bioRxiv·May 30, 2022
- Antibody Targeting of B7-H4 Enhances the Immune Response in Urothelial Carcinoma
J. R. Podojil, A. P. Glaser, … J. J. Meeks·bioRxiv·Aug 10, 2019