MRI radiomics for early prediction of response to vaccine therapy in a transgenic mouse model of pancreatic ductal adenocarcinoma
Abstract Background There is a lack of well-established clinical tools for predicting dendritic cell (DC) vaccination response of pancreatic ductal adenocarcinoma (PDAC). DC vaccine treatment efficiency was demonstrated using histological analysis in pre-clinical studies; however, its usage was limi...
Main Authors: | , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2020-02-01
|
Series: | Journal of Translational Medicine |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12967-020-02246-7 |
id |
doaj-35e37655c1a04489ad02b1f316951dc7 |
---|---|
record_format |
Article |
spelling |
doaj-35e37655c1a04489ad02b1f316951dc72021-02-14T12:10:26ZengBMCJournal of Translational Medicine1479-58762020-02-011811910.1186/s12967-020-02246-7MRI radiomics for early prediction of response to vaccine therapy in a transgenic mouse model of pancreatic ductal adenocarcinomaAydin Eresen0Jia Yang1Junjie Shangguan2Yu Li3Su Hu4Chong Sun5Yury Velichko6Vahid Yaghmai7Al B. Benson8Zhuoli Zhang9Dept. of Radiology, Feinberg School of Medicine, Northwestern UniversityDept. of Radiology, Feinberg School of Medicine, Northwestern UniversityDept. of Radiology, Feinberg School of Medicine, Northwestern UniversityDept. of Radiology, Feinberg School of Medicine, Northwestern UniversityDept. of Radiology, Feinberg School of Medicine, Northwestern UniversityDept. of Radiology, Feinberg School of Medicine, Northwestern UniversityDept. of Radiology, Feinberg School of Medicine, Northwestern UniversityDept. of Radiology, Feinberg School of Medicine, Northwestern UniversityRobert H. Lurie Comprehensive Cancer Center of Northwestern UniversityDept. of Radiology, Feinberg School of Medicine, Northwestern UniversityAbstract Background There is a lack of well-established clinical tools for predicting dendritic cell (DC) vaccination response of pancreatic ductal adenocarcinoma (PDAC). DC vaccine treatment efficiency was demonstrated using histological analysis in pre-clinical studies; however, its usage was limited due to invasiveness. In this study, we aimed to investigate the potential of MRI texture features for detection of early immunotherapeutic response as well as overall survival (OS) of PDAC subjects following dendritic cell (DC) vaccine treatment in LSL-Kras G12D ;LSL-Trp53 R172H ;Pdx-1-Cre (KPC) transgenic mouse model of pancreatic ductal adenocarcinoma (PDAC). Materials and methods KPC mice were treated with DC vaccines, and tumor growth was dynamically monitored. A total of a hundred and fifty-two image features of T2-weighted MRI images were analyzed using a kernel-based support vector machine model to detect treatment effects following the first and third weeks of the treatment. Moreover, univariate analysis was performed to describe the association between MRI texture and survival of KPC mice as well as histological tumor biomarkers. Results OS for mice in the treatment group was 54.8 ± 22.54 days while the control group had 35.39 ± 17.17 days. A subset of three MRI features distinguished treatment effects starting from the first week with increasing accuracy throughout the treatment (75% to 94%). Besides, we observed that short-run emphasis of approximate wavelet coefficients had a positive correlation with the survival of the KPC mice (r = 0.78, p < 0.001). Additionally, tissue-specific MRI texture features showed positive association with fibrosis percentage (r = 0.84, p < 0.002), CK19 positive percentage (r = − 0.97, p < 0.001), and Ki67 positive cells (r = 0.81, p < 0.02) as histological disease biomarkers. Conclusion Our results demonstrate that MRI texture features can be used as imaging biomarkers for early detection of therapeutic response following DC vaccination in the KPC mouse model of PDAC. Besides, MRI texture can be utilized to characterize tumor microenvironment reflected with histology analysis.https://doi.org/10.1186/s12967-020-02246-7Dendritic cell vaccineMachine learningMagnetic resonance imagingPancreatic ductal adenocarcinomaRadiomics |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Aydin Eresen Jia Yang Junjie Shangguan Yu Li Su Hu Chong Sun Yury Velichko Vahid Yaghmai Al B. Benson Zhuoli Zhang |
spellingShingle |
Aydin Eresen Jia Yang Junjie Shangguan Yu Li Su Hu Chong Sun Yury Velichko Vahid Yaghmai Al B. Benson Zhuoli Zhang MRI radiomics for early prediction of response to vaccine therapy in a transgenic mouse model of pancreatic ductal adenocarcinoma Journal of Translational Medicine Dendritic cell vaccine Machine learning Magnetic resonance imaging Pancreatic ductal adenocarcinoma Radiomics |
author_facet |
Aydin Eresen Jia Yang Junjie Shangguan Yu Li Su Hu Chong Sun Yury Velichko Vahid Yaghmai Al B. Benson Zhuoli Zhang |
author_sort |
Aydin Eresen |
title |
MRI radiomics for early prediction of response to vaccine therapy in a transgenic mouse model of pancreatic ductal adenocarcinoma |
title_short |
MRI radiomics for early prediction of response to vaccine therapy in a transgenic mouse model of pancreatic ductal adenocarcinoma |
title_full |
MRI radiomics for early prediction of response to vaccine therapy in a transgenic mouse model of pancreatic ductal adenocarcinoma |
title_fullStr |
MRI radiomics for early prediction of response to vaccine therapy in a transgenic mouse model of pancreatic ductal adenocarcinoma |
title_full_unstemmed |
MRI radiomics for early prediction of response to vaccine therapy in a transgenic mouse model of pancreatic ductal adenocarcinoma |
title_sort |
mri radiomics for early prediction of response to vaccine therapy in a transgenic mouse model of pancreatic ductal adenocarcinoma |
publisher |
BMC |
series |
Journal of Translational Medicine |
issn |
1479-5876 |
publishDate |
2020-02-01 |
description |
Abstract Background There is a lack of well-established clinical tools for predicting dendritic cell (DC) vaccination response of pancreatic ductal adenocarcinoma (PDAC). DC vaccine treatment efficiency was demonstrated using histological analysis in pre-clinical studies; however, its usage was limited due to invasiveness. In this study, we aimed to investigate the potential of MRI texture features for detection of early immunotherapeutic response as well as overall survival (OS) of PDAC subjects following dendritic cell (DC) vaccine treatment in LSL-Kras G12D ;LSL-Trp53 R172H ;Pdx-1-Cre (KPC) transgenic mouse model of pancreatic ductal adenocarcinoma (PDAC). Materials and methods KPC mice were treated with DC vaccines, and tumor growth was dynamically monitored. A total of a hundred and fifty-two image features of T2-weighted MRI images were analyzed using a kernel-based support vector machine model to detect treatment effects following the first and third weeks of the treatment. Moreover, univariate analysis was performed to describe the association between MRI texture and survival of KPC mice as well as histological tumor biomarkers. Results OS for mice in the treatment group was 54.8 ± 22.54 days while the control group had 35.39 ± 17.17 days. A subset of three MRI features distinguished treatment effects starting from the first week with increasing accuracy throughout the treatment (75% to 94%). Besides, we observed that short-run emphasis of approximate wavelet coefficients had a positive correlation with the survival of the KPC mice (r = 0.78, p < 0.001). Additionally, tissue-specific MRI texture features showed positive association with fibrosis percentage (r = 0.84, p < 0.002), CK19 positive percentage (r = − 0.97, p < 0.001), and Ki67 positive cells (r = 0.81, p < 0.02) as histological disease biomarkers. Conclusion Our results demonstrate that MRI texture features can be used as imaging biomarkers for early detection of therapeutic response following DC vaccination in the KPC mouse model of PDAC. Besides, MRI texture can be utilized to characterize tumor microenvironment reflected with histology analysis. |
topic |
Dendritic cell vaccine Machine learning Magnetic resonance imaging Pancreatic ductal adenocarcinoma Radiomics |
url |
https://doi.org/10.1186/s12967-020-02246-7 |
work_keys_str_mv |
AT aydineresen mriradiomicsforearlypredictionofresponsetovaccinetherapyinatransgenicmousemodelofpancreaticductaladenocarcinoma AT jiayang mriradiomicsforearlypredictionofresponsetovaccinetherapyinatransgenicmousemodelofpancreaticductaladenocarcinoma AT junjieshangguan mriradiomicsforearlypredictionofresponsetovaccinetherapyinatransgenicmousemodelofpancreaticductaladenocarcinoma AT yuli mriradiomicsforearlypredictionofresponsetovaccinetherapyinatransgenicmousemodelofpancreaticductaladenocarcinoma AT suhu mriradiomicsforearlypredictionofresponsetovaccinetherapyinatransgenicmousemodelofpancreaticductaladenocarcinoma AT chongsun mriradiomicsforearlypredictionofresponsetovaccinetherapyinatransgenicmousemodelofpancreaticductaladenocarcinoma AT yuryvelichko mriradiomicsforearlypredictionofresponsetovaccinetherapyinatransgenicmousemodelofpancreaticductaladenocarcinoma AT vahidyaghmai mriradiomicsforearlypredictionofresponsetovaccinetherapyinatransgenicmousemodelofpancreaticductaladenocarcinoma AT albbenson mriradiomicsforearlypredictionofresponsetovaccinetherapyinatransgenicmousemodelofpancreaticductaladenocarcinoma AT zhuolizhang mriradiomicsforearlypredictionofresponsetovaccinetherapyinatransgenicmousemodelofpancreaticductaladenocarcinoma |
_version_ |
1724270853223350272 |