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Erschienen in: Abdominal Radiology 9/2019

26.06.2019 | Pancreas

CT radiomics associations with genotype and stromal content in pancreatic ductal adenocarcinoma

verfasst von: Marc A. Attiyeh, Jayasree Chakraborty, Caitlin A. McIntyre, Rajya Kappagantula, Yuting Chou, Gokce Askan, Kenneth Seier, Mithat Gonen, Olca Basturk, Vinod P. Balachandran, T. Peter Kingham, Michael I. D’Angelica, Jeffrey A. Drebin, William R. Jarnagin, Peter J. Allen, Christine A. Iacobuzio-Donahue, Amber L. Simpson, Richard K. Do

Erschienen in: Abdominal Radiology | Ausgabe 9/2019

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Abstract

Purpose

The aim of this study was to investigate the relationship between CT imaging phenotypes and genetic and biological characteristics in pancreatic ductal adenocarcinoma (PDAC).

Methods

In this retrospective study, consecutive patients between April 2015 and June 2016 who underwent PDAC resection were included if previously consented to a targeted sequencing protocol. Mutation status of known PDAC driver genes (KRAS, TP53, CDKN2A, and SMAD4) in the primary tumor was determined by targeted DNA sequencing and results were validated by immunohistochemistry (IHC). Radiomic features of the tumor were extracted from the preoperative CT scan and used to predict genotype and stromal content.

Results

The cohort for analysis consisted of 35 patients. Genomic and IHC analysis revealed alterations in KRAS in 34 (97%) patients, and changes in expression of CDKN2A in 29 (83%), SMAD4 in 16 (46%), and in TP53 in 29 (83%) patients. Models created from radiomic features demonstrated associations with SMAD4 status and the number of genes altered. The number of genes altered was the only significant predictor of overall survival (p = 0.016). By linear regression analysis, a prediction model for stromal content achieved an R2 value of 0.731 with a root mean square error of 19.5.

Conclusions

In this study, we demonstrate that in PDAC SMAD4 status and tumor stromal content can be predicted using radiomic analysis of preoperative CT imaging. These data show an association between resectable PDAC imaging features and underlying tumor biology and their potential for future precision medicine.
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Metadaten
Titel
CT radiomics associations with genotype and stromal content in pancreatic ductal adenocarcinoma
verfasst von
Marc A. Attiyeh
Jayasree Chakraborty
Caitlin A. McIntyre
Rajya Kappagantula
Yuting Chou
Gokce Askan
Kenneth Seier
Mithat Gonen
Olca Basturk
Vinod P. Balachandran
T. Peter Kingham
Michael I. D’Angelica
Jeffrey A. Drebin
William R. Jarnagin
Peter J. Allen
Christine A. Iacobuzio-Donahue
Amber L. Simpson
Richard K. Do
Publikationsdatum
26.06.2019
Verlag
Springer US
Erschienen in
Abdominal Radiology / Ausgabe 9/2019
Print ISSN: 2366-004X
Elektronische ISSN: 2366-0058
DOI
https://doi.org/10.1007/s00261-019-02112-1

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