PSM
Sefali Patel, DO
Research Fellow
Allegheny Health Network
pittsburgh, Pennsylvania, United States
Sefali Patel, DO
Research Fellow
Allegheny Health Network
pittsburgh, Pennsylvania, United States
Sefali Patel, DO
Research Fellow
Allegheny Health Network
pittsburgh, Pennsylvania, United States
Rose Blodgett, n/a
Research Associate
Allegheny Health Network, United States
Ashten Omstead, n/a
Manager Medical Technology & Research
Allegheny Health Network, United States
patricia Petrosko, n/a
Molecular Biologist
Allegheny Health Network, United States
Hyun Park, n/a
Research Associate Senior
Allegheny Singer Research Institute, United States
louis Gil, n/a
Genomics Bioinformatics Analyst
Allegheny Health Network, United States
phillip Gallo, n/a
Scientist
Allegheny Health Network, United States
Casey J. Allen, n/a
Physician
AHN, United States
Ali Zaidi, n/a
Medical Director Research
Allegheny Health Network, United States
David L. Bartlett, MD
Faculty
AHN
Pittsburgh, Pennsylvania, United States
william Laframboise, n/a
Chief Genomics Technology Officer
Allegheny Health Network, United States
Patrick L. Wagner
Director, Complex General Surgical Oncology
Allegheny Health Network Cancer Institute
Pittsburgh, Pennsylvania, United States
Circulating tumor DNA (ctDNA) has shown promise as a biomarker in appendiceal cancer (AC) and other peritoneal surface malignancies (PSM), in which conventional radiographic and serologic indicators of disease status are unreliable. ctDNA assays rely heavily on the concordant identification of patient-specific genomic variants in solid tumor and blood. In this study, we utilized a comprehensive genomic profiling pipeline to identify concordant variants in paired tumor and blood samples from patients undergoing treatment for AC.
Methods:
AC patients (n=37) who consented to a pan-cancer circulating biomarker study at Allegheny Health Network Cancer Institute provided solid tumor and blood samples. Blood was collected in a membrane stabilizer, courier transported within 72 hours, separated via differential centrifugation, extracted with magnetic beads, and next-generation sequencing (NGS) was performed using the ct-TSO500 assay. NGS results from the solid tumor were compared to ctDNA. Clinical actionability of variants was determined using the OncoKB database at levels 1, 2, and R1. Variant yield and concordance were then assessed for correlation with clinical and pathologic factors.
Results:
Of 1,894,528 positions interrogated, 1,132.1 +/- 90.7 variants per case were found, with 97.4% concordance between ctDNA and tumor. Coding oncogenic variants were 163.8 +/- 15.6 (95.5% concordance), and 6.6 +/- 1.8 were clinically actionable (79.1% concordance). Every patient had at least one oncogenic mutation; 18 (48.6%) had potential for pharmacotherapy. Correlation was noted between overall variants detected and disease volume (peritoneal carcinomatosis index/PCI, r2=0.22, p=0.013 on linear regression); while coding variant counts were correlated with low vs. high grade (mean, 173.25 vs 159.94, p=0.035) and intra-tumoral CD8 lymphocyte density (r2=0.18, p=0.024). Overall, the assay demonstrated 95.9% sensitivity and 99.9% specificity of detecting coding oncogenic variants.
Conclusions:
In this study, we demonstrate the feasibility of an in-house NGS pathway to yield patient-specific ctDNA variants with high fidelity between solid and ctDNA for patients undergoing AC treatment at a high-volume center. We identified predictors of ctDNA variant yield in AC based on disease volume (PCI), tumor grade, and CD8+ lymphocyte infiltration. Future studies are underway to explore the utility of this pathway to inform patient-specific ctDNA assays as biomarkers of response to therapy, minimal residual disease, and disease recurrence in AC patients.