• Correlation of association between common genetic variations, reported by single nucleotide polymorphisms (SNP) in relevant candidate genes, with individual patient variability in normal tissue radiation response and toxicity [ Designated as safety issue: No ]
  

• Comparison of different clinical scoring systems for late normal tissue effects [ Designated as safety issue: Yes ]
  
• Comparison of clinical scoring systems with analytical measures of normal tissue outcome using volume change in the breast measured by laser camera [ Designated as safety issue: Yes ]
  
• Correlation of family history information with SNP analysis to produce a polymorphism risk score (PRS) [ Designated as safety issue: No ]
  
• Comparison of detailed 3D dose-volume analysis with late effects and SNP results [ Designated as safety issue: No ]
  
• Correlation of actuarial analysis of late effects changes over time with PRS [ Designated as safety issue: No ]
  
• PRS analyses against tumor control probability (TCP), using survival as a surrogate for TCP where necessary, and normal tissue complications vs tumor control probability [ Designated as safety issue: No ]
  

OBJECTIVES:

Primary

• To test the hypothesis that an association between common genetic variations, reported by single nucleotide polymorphisms (SNP) in relevant candidate genes, is associated with individual patient variability in normal tissue radiation response and toxicity.

Secondary

• To compare different clinical scoring systems for late normal tissue effects, specifically Late Effect of Normal Tissue Subjective Objective Management Analysis (LENT SOMA), Radiation Therapy Oncology Group (RTOG), quality of life, and in a subset common terminology criteria (CTC) version 3.
• To compare clinical scoring systems with analytical measures of normal tissue outcome in a minority of patients, using volume change in the breast measured by laser camera.
• To correlate family history information with SNP analysis to produce a polymorphism risk score (PRS) for family history.
• To compare a detailed 3D dose-volume analysis in a subset of patients with late effects and SNP results.
• To correlate actuarial analysis of late effects changes over time with PRS.
• To conduct PRS analyses against tumor control probability (TCP), using survival as a surrogate for TCP where necessary, and normal tissue complications vs tumor control probability.

OUTLINE: This is a multicenter study.

Patients are recruited from clinical trials in which their late normal tissue effects have been measured. Blood samples are collected from these patients for analysis of genetic variation by DNA extraction and single nucleotide polymorphism analysis. Sixty different genes, including those involved in cell cycle checkpoint control, DNA damage recognition and repair, induction of apoptosis, and cytokine production (including TGFβ pathways) are assessed.