Tumor Microenvironment: Insights from Multiparametric MRI in Pancreatic Ductal Adenocarcinoma
Authors:
- Ramesh PaudyalRamesh Paudyal
- James RussellJames Russell
- H. Carl LekayeH. Carl Lekaye
- Joseph O. DeasyJoseph O. Deasy
- John L. HummJohn L. Humm
- Muhammad AwaisMuhammad Awais
- Saad NadeemSaad Nadeem
- Richard K. G. DoRichard K. G. Do
- Eileen M. O’reillyEileen M. O’reilly
- Lawrence H. SchwartzLawrence H. Schwartz
- Amita Shukla-DaveAmita Shukla-Dave
Open Access
Abstract
Background/Objectives: The tumor microenvironment (TME) of pancreatic ductal adenocarcinoma (PDAC) is characterized by an enriched stroma, hampering the effectiveness of therapy. This co-clinical study aimed to (1) provide insight into early post-treatment changes in the TME using multiparametric magnetic resonance imaging (mpMRI)-derived quantitative imaging biomarkers (QIBs) in a preclinical PDAC model treated with radiotherapy and correlate these QIBs with histology; (2) evaluate the feasibility of obtaining these QIBs in patients with PDAC using clinically approved mpMRI data acquisitions. Methods: Athymic mice (n = 12) at pre- and post-treatment as well as patients with PDAC (n = 11) at pre-treatment underwent mpMRI including diffusion-weighted (DW) and dynamic contrast-enhanced (DCE) data acquisition sequences. DW and DCE data were analyzed using monoexponential and extended Tofts models, respectively. DeepLIIF quantified the total percentage (%) of tumor cells in hematoxylin and eosin (H&E)-stained tissues from athymic mice. Spearman correlation and Wilcoxon signed rank tests were performed for statistical analysis. Results: In the preclinical PDAC model, mean pre- and post-treatment ADC and Ktrans values differed significantly (p < 0.01), changing by 20.50% and 20.41%, respectively, and the median total tumor cells quantified by DeepLIIF was 24% (range: 15–53%). Post-treatment ADC values and relative change in ve (rΔve) showed a significant negative correlation with total tumor cells (ρ = −0.77, p < 0.014 for ADC and ρ = −0.77, p = 0.009 for rΔve). In patients with PDAC, pre-treatment mean ADC and Ktrans values were 1.76 × 10−3 (mm2/s) and 0.24 (min−1), respectively. Conclusions: QIBs in both preclinical and clinical settings underscore their potential for future co-clinical research to evaluate emerging drug combinations targeting both tumor and stroma.Keywords
Funding Information
- NCI (P30 CA008748 (MSK))
This publication has 65 references indexed in Scilit:
- Multiparametric MRI to Predict Response to Irreversible Electroporation Plus Anti‐ PD ‐1 Immunotherapy in Pancreatic Ductal AdenocarcinomaMagnetic Resonance in Medicine, 2025
- Pathological validation and prognostic potential of quantitative MRI in the characterization of pancreas cancer: preliminary experienceMolecular Oncology, 2020
- Diffusion-weighted MRI predicts the histologic response for neoadjuvant therapy in patients with pancreatic cancer: a prospective study (DIFFERENT trial)Langenbeck's Archives of Surgery, 2020
- Noninvasive characterization of pancreatic tumor mouse models using magnetic resonance imagingCancer Medicine, 2017
- Correlation of tumor characteristics derived from DCE‐MRI and DW‐MRI with histology in murine models of breast cancerNMR in Biomedicine, 2015
- Model selection in measures of vascular parameters using dynamic contrast‐enhanced MRI: experimental and clinical applicationsNMR in Biomedicine, 2013
- Longitudinal in vivo susceptibility contrast MRI measurements of LS174T colorectal liver metastasis in nude miceJournal of Magnetic Resonance Imaging, 2008
- Apparent diffusion coefficient in pancreatic cancer: Characterization and histopathological correlationsJournal of Magnetic Resonance Imaging, 2008
- Simultaneous measurement of arterial input function and tumor pharmacokinetics in mice by dynamic contrast enhanced imaging: Effects of transcytolemmal water exchangeMagnetic Resonance in Medicine, 2004
- Estimating kinetic parameters from dynamic contrast-enhanced t1-weighted MRI of a diffusable tracer: Standardized quantities and symbolsJournal of Magnetic Resonance Imaging, 1999