armored-cart-design-agent
Design armored CAR-T cells with cytokine payloads and resistance mechanisms.
Maintainer FreedomIntelligence · Last updated April 1, 2026
Compute TMB and assess its predictive value for immunotherapy response.
Original source
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/tumor-mutational-burden-agent
Skill Snapshot
Source Doc
TMB Calculation: Compute TMB from different sequencing platforms with appropriate normalization.
Platform Harmonization: Standardize TMB across FoundationOne, MSK-IMPACT, WES, and other assays.
TMB-High Classification: Apply FDA-approved and tumor-specific thresholds.
Biomarker Integration: Combine TMB with PD-L1, MSI, and gene signatures.
Response Prediction: ML models predicting ICI response from TMB-inclusive features.
Tumor-Specific Context: Interpret TMB relative to cancer type distributions.
| Platform | Coverage | TMB Formula | Normalization |
|---|---|---|---|
| WES | 30-50 Mb | Nonsynonymous/coding Mb | Per exome size |
| FoundationOne | 1.1 Mb | Syn + nonsyn/panel Mb | FDA validated |
| MSK-IMPACT | 1.0-1.2 Mb | Nonsyn + splice/panel Mb | Panel-specific |
| TSO500 | 1.94 Mb | Coding mutations/Mb | Illumina validated |
| WGS | 3 Gb | Various metrics | Genome-wide |
| Context | Threshold | Evidence |
|---|---|---|
| FDA (pan-tumor) | ≥10 mut/Mb | KEYNOTE-158 |
| Melanoma | ≥10 mut/Mb | Practice standard |
| NSCLC | ≥10 mut/Mb | Multiple trials |
| SCLC | ≥10 mut/Mb | Variable benefit |
| Colorectal (MSS) | Limited utility | MSI more predictive |
| Urothelial | ≥10 mut/Mb | IMvigor trials |
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