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Data from Harmonic Motion Imaging of Pancreatic Tumor Stiffness Indicates Disease State and Treatment Response

Authors :
Kenneth P. Olive
Elisa E. Konofagou
Alina C. Iuga
John A. Chabot
Beth A. Schrope
Michael D. Kluger
Helen Remotti
Deborah Desrouilleres
Vilma Rosario
Barbara Orelli
Irina R. Sagalovskiy
Alireza Nabavizadeh
Yang Han
Stephen A. Sastra
Carmine F. Palermo
Niloufar Saharkhiz
Paul E. Oberstein
Thomas Payen
Publication Year :
2023
Publisher :
American Association for Cancer Research (AACR), 2023.

Abstract

Purpose:Pancreatic ductal adenocarcinoma (PDA) is a common, deadly cancer that is challenging both to diagnose and to manage. Its hallmark is an expansive, desmoplastic stroma characterized by high mechanical stiffness. In this study, we sought to leverage this feature of PDA for two purposes: differential diagnosis and monitoring of response to treatment.Experimental Design:Harmonic motion imaging (HMI) is a functional ultrasound technique that yields a quantitative relative measurement of stiffness suitable for comparisons between individuals and over time. We used HMI to quantify pancreatic stiffness in mouse models of pancreatitis and PDA as well as in a series of freshly resected human pancreatic cancer specimens.Results:In mice, we learned that stiffness increased during progression from preneoplasia to adenocarcinoma and also effectively distinguished PDA from several forms of pancreatitis. In human specimens, the distinction of tumors versus adjacent pancreatitis or normal pancreas tissue was even more stark. Moreover, in both mice and humans, stiffness increased in proportion to tumor size, indicating that tuning of mechanical stiffness is an ongoing process during tumor progression. Finally, using a brca2–mutant mouse model of PDA that is sensitive to cisplatin, we found that tissue stiffness decreases when tumors respond successfully to chemotherapy. Consistent with this observation, we found that tumor tissues from patients who had undergone neoadjuvant therapy were less stiff than those of untreated patients.Conclusions:These findings support further development of HMI for clinical applications in disease staging and treatment response assessment in PDA.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....70683558e03a4830077affd2b5460317
Full Text :
https://doi.org/10.1158/1078-0432.c.6528752