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Citations to this article

Transport properties of pancreatic cancer describe gemcitabine delivery and response
Eugene J. Koay, … , Mauro Ferrari, Jason B. Fleming
Eugene J. Koay, … , Mauro Ferrari, Jason B. Fleming
Published March 10, 2014
Citation Information: J Clin Invest. 2014;124(4):1525-1536. https://doi.org/10.1172/JCI73455.
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Clinical Research and Public Health Article has an altmetric score of 44

Transport properties of pancreatic cancer describe gemcitabine delivery and response

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Abstract

Background. The therapeutic resistance of pancreatic ductal adenocarcinoma (PDAC) is partly ascribed to ineffective delivery of chemotherapy to cancer cells. We hypothesized that physical properties at vascular, extracellular, and cellular scales influence delivery of and response to gemcitabine-based therapy.

Methods. We developed a method to measure mass transport properties during routine contrast-enhanced CT scans of individual human PDAC tumors. Additionally, we evaluated gemcitabine infusion during PDAC resection in 12 patients, measuring gemcitabine incorporation into tumor DNA and correlating its uptake with human equilibrative nucleoside transporter (hENT1) levels, stromal reaction, and CT-derived mass transport properties. We also studied associations between CT-derived transport properties and clinical outcomes in patients who received preoperative gemcitabine-based chemoradiotherapy for resectable PDAC.

Results. Transport modeling of 176 CT scans illustrated striking differences in transport properties between normal pancreas and tumor, with a wide array of enhancement profiles. Reflecting the interpatient differences in contrast enhancement, resected tumors exhibited dramatic differences in gemcitabine DNA incorporation, despite similar intravascular pharmacokinetics. Gemcitabine incorporation into tumor DNA was inversely related to CT-derived transport parameters and PDAC stromal score, after accounting for hENT1 levels. Moreover, stromal score directly correlated with CT-derived parameters. Among 110 patients who received preoperative gemcitabine-based chemoradiotherapy, CT-derived parameters correlated with pathological response and survival.

Conclusion. Gemcitabine incorporation into tumor DNA is highly variable and correlates with multiscale transport properties that can be derived from routine CT scans. Furthermore, pretherapy CT-derived properties correlate with clinically relevant endpoints.

Trial registration. Clinicaltrials.gov NCT01276613.

Funding. Lustgarten Foundation (989161), Department of Defense (W81XWH-09-1-0212), NIH (U54CA151668, KCA088084).

Authors

Eugene J. Koay, Mark J. Truty, Vittorio Cristini, Ryan M. Thomas, Rong Chen, Deyali Chatterjee, Ya’an Kang, Priya R. Bhosale, Eric P. Tamm, Christopher H. Crane, Milind Javle, Matthew H. Katz, Vijaya N. Gottumukkala, Marc A. Rozner, Haifa Shen, Jeffery E. Lee, Huamin Wang, Yuling Chen, William Plunkett, James L. Abbruzzese, Robert A. Wolff, Gauri R. Varadhachary, Mauro Ferrari, Jason B. Fleming

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Total citations by year

Year: 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2009 Total
Citations: 2 6 7 14 15 10 13 20 7 12 3 1 110
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Citations to this article in year 2019 (10)

Title and authors Publication Year
Predicting breast cancer response to neoadjuvant chemotherapy based on tumor vascular features in needle biopsies
Terisse A Brocato, Ursa Brown-Glaberman, Zhihui Wang, Reed Selwyn, Colin Wilson, Edward F Wyckoff, Lesley Lomo, Jennifer Saline, Anupama Hooda-Nehra, Renata Pasqualini, Wadih Arap, Jeffrey Brinker, Vittorio Cristini
JCI Insight 2019

Oridonin overcomes the gemcitabine resistant PANC-1/Gem cells by regulating GST pi and LRP/1 ERK/JNK signalling


B Wang, C Shen, Y Li, T Zhang, H Huang, J Ren, Z Hu, J Xu, B Xu
OncoTargets and therapy 2019
Dynamic Targeting in Cancer Treatment
Z Wang, TS Deisboeck
Frontiers in physiology 2019
Macrophage-Released Pyrimidines Inhibit Gemcitabine Therapy in Pancreatic Cancer
CJ Halbrook, C Pontious, I Kovalenko, L Lapienyte, S Dreyer, HJ Lee, G Thurston, Y Zhang, J Lazarus, P Sajjakulnukit, HS Hong, DM Kremer, BS Nelson, S Kemp, L Zhang, D Chang, A Biankin, J Shi, TL Frankel, HC Crawford, JP Morton, MP di Magliano, CA Lyssiotis
Cell Metabolism 2019
Mathematical modeling in cancer nanomedicine: a review
P Dogra, JD Butner, Y Chuang, S Caserta, S Goel, CJ Brinker, V Cristini, Z Wang
Biomedical Microdevices 2019
Early Detection of Pancreatic Cancer: Opportunities and Challenges
AD Singhi, EJ Koay, ST Chari, A Maitra
Gastroenterology 2019
Computed Tomography–Based Biomarker Outcomes in a Prospective Trial of Preoperative FOLFIRINOX and Chemoradiation for Borderline Resectable Pancreatic Cancer
EJ Koay, MH Katz, H Wang, X Wang, L Prakash, M Javle, R Shroff, D Fogelman, S Avila, M Zaid, D Elganainy, Y Lee, CH Crane, S Krishnan, P Das, JB Fleming, JE Lee, EP Tamm, P Bhosale, JH Lee, B Weston, A Maitra, RA Wolff, GR Varadhachary
JCO Precision Oncology 2019
Enhancement pattern mapping technique for improving contrast‐to‐noise ratios and detectability of hepatobiliary tumors on multiphase computed tomography
PC Park, GW Choi, MM Zaid, D Elganainy, DA Smani, J Tomich, R Samaniego, J Ma, EP Tamm, S Beddar, EJ Koay
Medical Physics 2019
Tumor Site-Dependent Transport Properties Determine Nanotherapeutics Delivery and Its Efficacy
M Kai, A Ziemys, Y ting Liu, M Kojic, M Ferrari, K Yokoi
Translational oncology 2019
Pancreatic cancer detection and characterization—state of the art cross-sectional imaging and imaging data analysis
G Kaissis, R Braren
Translational Gastroenterology and Hepatology 2019

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