Accounting for B-cell Behavior and Sampling Bias Predicts Anti-PD-L1 Response in Bladder Cancer
Ilya A Dyugay1,2, Daniil K Lukyanov1,2, Maria A Turchaninova2,3
1Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia.
The IgG1/IgA ratio in bladder cancer predicts immunotherapy response and patient outcomes. Integrating B-cell, T-cell, and NK cell signatures improves treatment prediction, leading to a new tool called PRIMUS.
Area of Science:
- Immunology
- Oncology
- Genomics
Background:
- Cancer immunotherapy primarily focuses on T cells.
- B cells and their products, like immunoglobulins, also play a role in anti-tumor immunity.
- Understanding B cell involvement is crucial for improving cancer treatments.
Purpose of the Study:
- To investigate the role of infiltrating B cells in bladder cancer.
- To identify prognostic indicators for bladder cancer patients.
- To develop a predictive model for anti-PD-L1 therapy response.
Main Methods:
- Analysis of intratumoral immunoglobulin repertoires in bladder cancer patients.
- Dataset analysis of the IMVigor210 anti-PD-L1 immunotherapy cohort.
- Development and validation of the PRIMUS predictor.
Main Results:
- The IgG1/IgA ratio serves as a prognostic indicator for bladder cancer subtypes and anti-PD-L1 response.
- High IgG1/IgA ratios correlate with cytotoxic signatures and T-cell receptor signaling.
- Effector B-cell function, not just antibodies, contributes to anti-tumor responses.
- A combined signature of B cells, NK cells, and T cells most accurately predicts anti-PD-L1 response.
- The PRIMUS predictor outperforms existing methods for identifying responders.
Conclusions:
- The IgG1/IgA ratio is a key prognostic factor in bladder cancer immunotherapy.
- Integrating multiple immune cell signatures enhances prediction of treatment efficacy.
- PRIMUS offers a reliable method for identifying responders in muscle-invasive urothelial carcinoma, including difficult-to-treat tumors.
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