Chromosomal Instability Agent

Chromosomal Instability Agent

The Chromosomal Instability Agent analyzes CIN signatures to predict cancer prognosis, immunotherapy response, and therapeutic vulnerabilities. It integrates copy number alterations, aneuploidy scores, and CIN-related gene expression for comprehensive genomic instability assessment.

When to Use This Skill

• When assessing tumor aneuploidy and chromosomal instability levels.
• To predict prognosis based on CIN signatures.
• For identifying tumors vulnerable to CIN-targeted therapies (PARP, ATR, WEE1).
• When analyzing immune evasion mechanisms related to CIN.
• To stratify patients for immunotherapy based on CIN status.

Core Capabilities

1. CIN Scoring: Calculate comprehensive CIN scores from copy number data.

2. Aneuploidy Quantification: Measure arm-level and focal copy number alterations.

3. CIN Gene Expression: Analyze CIN70 and other transcriptional signatures.

4. Immune Correlation: Assess CIN-immune microenvironment relationships.

5. Therapeutic Vulnerability: Identify CIN-targeted treatment options.

6. Prognostic Modeling: Predict outcomes based on CIN signatures.

CIN Metrics

CIN70 Signature Genes

Core genes reflecting CIN phenotype:

• Mitotic checkpoint: BUB1, BUBR1, MAD2L1
• Kinetochore: CENPA, CENPF, NDC80
• DNA replication: MCM2-7, ORC1
• Cell cycle: CCNB1, CCNB2, CDK1, PLK1
• Chromosome segregation: AURKB, KIF2C, KIF11

Workflow

1. Input: Copy number data (segments), gene expression, mutation data.

2. CNV Analysis: Calculate arm-level and focal alterations.

3. Signature Scoring: Compute CIN70 and other transcriptional signatures.

4. Integration: Combine DNA and RNA-based CIN metrics.

5. Immune Analysis: Correlate CIN with TME composition.

6. Vulnerability Assessment: Identify targetable dependencies.

7. Output: CIN scores, prognosis, treatment recommendations.

Example Usage

User: "Analyze chromosomal instability in this breast cancer sample and identify treatment vulnerabilities."

Agent Action:

python3 Skills/Oncology/Chromosomal_Instability_Agent/cin_analyzer.py \
    --cnv_segments tumor_cnv.tsv \
    --expression rnaseq_tpm.tsv \
    --mutations somatic.maf \
    --tumor_type breast_cancer \
    --signatures cin70,cin25 \
    --output cin_report/

CIN and Immune Evasion

High CIN Associates With:

• Reduced immune infiltration
• Lower checkpoint inhibitor response
• Increased immune evasion
• cGAS-STING activation (paradoxical)

Mechanisms:

1. Loss of tumor suppressors on chromosome arms
2. Chronic inflammatory signaling
3. Aneuploidy-induced stress responses
4. Subclonal diversification

Therapeutic Vulnerabilities

CIN-Based Patient Stratification

AI/ML Components

CIN Score Prediction:

• Random forest on CNV features
• Expression-based CIN inference
• Multi-modal integration

Prognosis Modeling:

• Cox regression with CIN features
• Cancer-type specific models
• Integration with clinical variables

Therapeutic Matching:

• GDSC/CCLE drug sensitivity
• CIN-drug response correlations
• Combination predictions

Pan-Cancer CIN Patterns

Prerequisites

• Python 3.10+
• GISTIC2 or similar for CNV analysis
• Gene signature databases
• Survival analysis packages

Related Skills

• HRD_Analysis_Agent - For HR-specific instability
• Pan_Cancer_MultiOmics_Agent - For pan-cancer context
• Tumor_Clonal_Evolution_Agent - For evolutionary dynamics

Research Applications

1. Biomarker Development: CIN as predictive marker
2. Drug Development: CIN-targeted therapy trials
3. Evolution Studies: Track CIN changes over time
4. Resistance Mechanisms: CIN and drug resistance

Author

AI Group - Biomedical AI Platform