Integrative immune-genomic profiling for identification of treatment-relevant phenotypes association with predicted sensitivity to neoadjuvant chemo-immunotherapy in muscle-invasive bladder cancer.

O Onyekachi Anya (Legacy Salmon Creek Medical Center, Vancouver, WA) O Ogbonna Chikere (Legacy Salmon Creek Medical Center, Vancouver, WA) O Oluchi Idenyi (Wellstar Health System, Griffin, GA) R Ronald Ng (Oregon Health and Science University, Portland, OR)

Abstract

183 Background: Neoadjuvant chemo-immunotherapy is an emerging strategy for muscle-invasive bladder cancer (MIBC), yet responses remain heterogeneous and predictive pretreatment biomarkers are lacking. We performed an integrative immune-genomic analysis of The Cancer Genome Atlas bladder cancer cohort (TCGA-BLCA) to identify biologic phenotypes associated with predicted sensitivity to neoadjuvant chemo-immunotherapy. Methods: Transcriptomic and somatic mutation data were analyzed to evaluate immune infiltration signatures, tumor mutational burden, and DNA damage response (DDR) gene alterations. Immune enrichment metrics were derived from gene expression profiles. In the absence of direct treatment outcomes, tumors were classified into biologically defined immune response phenotypes representing predicted treatment susceptibility. Associations were assessed using descriptive analyses and multivariable Firth penalized logistic regression. Results: Predicted sensitive tumors demonstrated higher global immune infiltration, including elevated ImmuneScore and enrichment of cytotoxic and innate immune signatures. DDR alterations were more frequent in immune-inflamed phenotypes. On multivariable analysis, ImmuneScore remained independently associated with predicted treatment sensitivity (p = 0.003), while other genomic variables showed context-dependent associations. Conclusions: Integrative immune-genomic profiling identifies biologically plausible phenotypes associated with predicted sensitivity to neoadjuvant chemo-immunotherapy in MIBC. Global immune infiltration emerged as a dominant feature of treatment-relevant tumor biology and supports immune-based stratification frameworks requiring prospective validation. Variable  Non-likely responder (n = 251)  Likely responder (n = 260)  p-value  Statistical test  Age, years, Mean (SD)  67.80 (11.06)  68.15 (9.68)  0.707  t = -0.38  Sex, n(%)  -  -  0.002  χ² = 9.43    Female  56 (22.3%)  91 (35.0%)  -  -    Male  195 (77.7%)  169 (65.0%)  -  -  Pathologic tumor stage, n(%)  -  -  0.355  χ² = 0.85    I-II  153 (61.0%)  147 (56.5%)  -  -    III-IV  98 (39.0%)  113 (43.5%)  -  -  DDR status, n(%)  -  -  0.339  χ² = 0.91    DDR-mutated  105 (41.8%)  97 (37.3%)  -  -    DDR-wildtype  146 (58.2%)  163 (62.7%)  -  -  TMB group, n(%)  -  -  0.073  χ² = 3.23    TMB-high  98 (41.7%)  116 (50.4%)  -  -    TMB-low  137 (58.3%)  114 (49.6%)  -  -  ImmuneScore, Mean (SD)  0.04 (0.02)  0.23 (0.18)  <0.001  t = -17.22  StromaScore, Mean (SD)  0.05 (0.08)  0.08 (0.10)  <0.001  t = -4.70  CD8+ T cells, Mean (SD)  -0.41 (0.36)  0.40 (1.23)  <0.001  t = -10.07  NK cells, Mean (SD)  -0.26 (0.02)  0.25 (1.36)  <0.001  t = -5.97  Macrophages, Mean (SD)  0.01 (0.01)  0.06 (0.05)  <0.001  t = -14.90 

Article Details

Volume / Issue Vol. 44, Issue 19_suppl
Published July 01, 2026
Pages 183-183
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (4)

O

Onyekachi Anya

Legacy Salmon Creek Medical Center, Vancouver, WA

O

Ogbonna Chikere

Legacy Salmon Creek Medical Center, Vancouver, WA

O

Oluchi Idenyi

Wellstar Health System, Griffin, GA

R

Ronald Ng

Oregon Health and Science University, Portland, OR