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Integration of Dose Surface Maps and Genetic Data Identifies the Lower Posterior Rectum as a Key Region for Toxicity
Artemis Bouzaki1, Elliana Vasquez Osorio1,2, Sarah Kerns3
1Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom.
This study links specific gene variants to rectal toxicity after prostate cancer radiation therapy by combining dose maps and genetic data. It identifies high-risk rectal regions, paving the way for personalized radiotherapy planning.
Area of Science:
- Radiation oncology
- Genomics
- Medical physics
Background:
- Genome-wide association studies (GWAS) identify SNPs linked to rectal toxicity post-prostate cancer radiotherapy.
- Traditional GWAS often overlook radiotherapy dose distribution, a critical factor in toxicity.
- Integrating dose distribution with genetic data can refine understanding of toxicity mechanisms.
Purpose of the Study:
- To combine rectal dose surface maps with genetic data to identify specific rectal regions where genetic variants influence radiotherapy dose-toxicity relationships.
- To investigate genotype-specific rectal toxicity patterns in prostate cancer patients undergoing radiotherapy.
Main Methods:
- Analysis of data from 1,293 prostate cancer patients (REQUITE study).
- Standardized 2D dose surface maps generated using deep learning rectum contouring.
- Voxel-wise Cox proportional hazards models with permutation testing to assess dose-toxicity associations for three candidate SNPs (rs1801516, rs17055178, rs17630638).
- Propensity score matching used to control for confounding factors.
Main Results:
- Significant dose-toxicity associations (P < 0.05) found in risk allele carriers for all SNPs concerning bowel urgency, primarily in the lower posterior rectum.
- Carriers of the risk allele for rs17630638 showed increased risk for acute bowel incontinence and late rectal bleeding, but reduced risk for acute rectal bleeding.
- Spatial mapping revealed genotype-driven toxicity patterns and identified consistent high-risk rectal regions.
Conclusions:
- Spatial dose mapping combined with genetic data successfully identified genotype-driven rectal toxicity patterns.
- The findings strengthen the link between genomics and radiotherapy planning, highlighting specific high-risk rectal regions.
- This approach enables personalized radiotherapy by allowing dose reduction in genetically sensitive patients.
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