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Updated: Aug 2, 2026

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
Clinical, Imaging, and Technical Factors Associated with Successful Genomic Profiling of Bone Biopsy Tissue in
Fourat Ridouani1, H Alberto Vargas2, Daniel J Holzwanger3
1Department of Radiology, Interventional Radiology Division, Memorial Sloan Kettering Cancer, New York, NY, USA.
Background And Objective:
The source of tissue for genomic profiling of metastatic castration-resistant prostate cancer (mCRPC) is often limited to osseous metastases. To guide patient management, metastatic site selection and the technique for targeted bone biopsies are critical for identifying deleterious gene mutations. Our objective was to identify key parameters associated with successful large-panel DNA sequencing.
Methods:
We analyzed parameters for 243 men with progressing mCRPC who underwent 269 bone biopsies for genomic profiling between 2014 and 2018. Univariate and multivariate analyses were performed for clinical, imaging (bone scan; fluorodeoxyglucose [FDG] positron emission tomography [PET]; computed tomography [CT]; magnetic resonance imaging), and technical (biopsy site, number of samples, needle gauge) features associated with successful genomic profiling.
Key Findings And Limitations:
Overall, 159 of 269 biopsies (59%) generated sufficient tumor material for a genomic profile. Seventy (26%) of the failures were histopathologically negative for mCRPC and 40 (15%) had insufficient tumor for genomic profiling. Of 199 mCRPC samples submitted for molecular testing, 159 (80%) yielded a genomic profile. On univariate analysis, PSA, serum acid phosphatase, number of biopsy samples, FDG PET positivity, CT attenuation, and CT morphology were significantly associated with genomic profiling success. On multivariate analysis, higher FDG maximum standardized uptake value (odds ratio [OR] 7.51, 95% confidence interval [CI] 3.01-18.78; p < 0.001), higher number of biopsy samples (OR 4.73, 95% CI 1.49-15.02; p = 0.008), and lower mean CT attenuation (OR 0.4, 95% CI 0.18-0.89; p = 0.025) were significantly associated with sequencing success.
Conclusions And Clinical Implications:
In patients with mCRPC, bone biopsies from sites with metabolic activity and lower CT attenuation are associated with higher success rates for genomic profiling via a large-panel DNA sequencing platform.
Patient Summary:
We identified factors associated with successful genetic testing of bone tissue for patients with metastatic prostate cancer. Our findings may help in guiding the right scan technique and biopsy site for personalized treatment planning.
Insights
Successful genomic profiling of metastatic castration-resistant prostate cancer (mCRPC) bone biopsies depends on selecting sites with high metabolic activity and lower CT attenuation. This improves the chances of obtaining sufficient tumor material for large-panel DNA sequencing and personalized treatment.
Area of Science:
- Oncology
- Genomics
- Medical Imaging
Background:
- Genomic profiling of metastatic castration-resistant prostate cancer (mCRPC) often relies on osseous metastases.
- Tissue acquisition for genomic analysis from bone lesions presents challenges.
- Optimizing biopsy site selection and technique is crucial for identifying actionable mutations.
Purpose of the Study:
- To identify key parameters influencing successful large-panel DNA sequencing from bone biopsies in mCRPC patients.
- To guide clinical decision-making for metastatic site selection and biopsy techniques.
Main Methods:
- Analysis of 269 bone biopsies from 243 men with mCRPC between 2014 and 2018.
- Evaluation of clinical, imaging (bone scan, FDG-PET, CT, MRI), and technical biopsy parameters.
- Univariate and multivariate statistical analyses to determine associations with successful genomic profiling.
Main Results:
- 59% of biopsies yielded sufficient tumor material for genomic profiling.
- Multivariate analysis identified higher FDG maximum standardized uptake value (OR 7.51), more biopsy samples (OR 4.73), and lower mean CT attenuation (OR 0.4) as significant predictors of sequencing success.
- FDG-PET positivity, CT attenuation, and CT morphology were significant on univariate analysis.
Conclusions:
- Bone biopsies from sites with high metabolic activity (FDG-PET positive) and lower CT attenuation are associated with higher success rates for genomic profiling.
- Increasing the number of biopsy samples also improves the likelihood of successful sequencing.
- These findings aid in selecting optimal biopsy sites and techniques for personalized mCRPC treatment planning.
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