The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Transport properties of pancreatic cancer describe gemcitabine delivery and response
Open accessAbstract
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).
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Other applications of radiomics and quantitative imaging approaches have shown that the enhancement and morphology of the primary tumours have biological underpinnings and clinical relevance,113–115”
From Early detection of pancreatic cancer (2020) · cites this paper as [115]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Spencer, P. M., Cameron, J. L., & Lin, L. (2000) · Cited by 7,202
Olive, K. P., Jacobetz, M. A., Davidson, C. J., Gopinathan, A., McIntyre, D., Honess, D., Madhu, B., Goldgraben, M. A., Caldwell, M. E., Allard, D., et al. (2009) · Science · doi:10.1126/science.1171362 · Cited by 3,170
Provenzano, P. P., Cuevas, C., Chang, A. E., Goel, V. K., Von Hoff, D. D., & Hingorani, S. R. (2012) · Cancer Cell · doi:10.1016/j.ccr.2012.01.007 · Cited by 2,195
Li, D., Xie, K., Wolff, R. A., & Abbruzzese, J. L. (2004) · The Lancet · doi:10.1016/s0140-6736(04)15841-8 · Cited by 1,731
CD40 Agonists Alter Tumor Stroma and Show Efficacy Against Pancreatic Carcinoma in Mice and Humans
Beatty, G. L., Chiorean, E. G., Fishman, M. P., Saboury, B., Teitelbaum, U. R., Sun, W., Huhn, R. D., Song, W., Li, D., Sharp, L. L., et al. (2011) · Science · doi:10.1126/science.1198443 · Cited by 1,706
Intravenous Contrast Medium Administration and Scan Timing at CT: Considerations and Approaches
Bae, K. T. (2010) · Radiology · doi:10.1148/radiol.10090908 · Cited by 1,068
Causes, consequences, and remedies for growth-induced solid stress in murine and human tumors
Stylianopoulos, T., Martin, J. D., Chauhan, V. P., Jain, S. R., Diop-Frimpong, B., Bardeesy, N., Smith, B. L., Ferrone, C. R., Hornicek, F. J., Boucher, Y., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1213353109 · Cited by 943
Borderline Resectable Pancreatic Cancer: Definitions, Management, and Role of Preoperative Therapy
Varadhachary, G. R., Tamm, E. P., Abbruzzese, J. L., Xiong, H. Q., Crane, C. H., Wang, H., Lee, J. E., Pisters, P. W. T., Evans, D. B., & Wolff, R. A. (2006) · Annals of Surgical Oncology · doi:10.1245/aso.2006.08.011 · Cited by 876
Transport of molecules across tumor vasculature
Jain, R. K. (1987) · Cancer and Metastasis Reviews · doi:10.1007/bf00047468 · Cited by 869
Stromal biology and therapy in pancreatic cancer
Neeße, A., Michl, P., Frese, K. K., Feig, C., Cook, N., Jacobetz, M. A., Lolkema, M. P., Buchholz, M., Olive, K. P., Gress, T. M., et al. (2010) · Gut · doi:10.1136/gut.2010.226092 · Cited by 780
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–184 of 184
PanIN or IPMN? Redefining Lesion Size in 3 Dimensions
Kiemen, A. L., Dequiedt, L., Shen, Y., Zhu, Y., Matos-Romero, V., Forjaz, A., Campbell, K., Dhana, W., Cornish, T. C., Braxton, A. M., et al. (2024) · The American Journal of Surgical Pathology · doi:10.1097/pas.0000000000002245 · Cited by 18
Butner, J. D., Martin, G. V., Wang, Z., Corradetti, B., Mauro Ferrari, B., Esnaola, N., Chung, C., Hong, D. S., Welsh, J., Hasegawa, N., et al. (2021) · eLife · doi:10.7554/elife.70130 · Cited by 18
Stock, K., Steinestel, K., Wiesch, R., Mikesch, J., Hansmeier, A., Trautmann, M., Beller, N., Rehkämper, J., Wardelmann, E., Heitkötter, B., et al. (2017) · BioMed Research International · doi:10.1155/2017/2847303 · Cited by 18
Fibrosis-related miRNAs as serum biomarkers for pancreatic ductal adenocarcinoma
Suzuki, R., Asama, H., Waragai, Y., Takagi, T. J., Hikichi, T., Sugimoto, M., Konno, N., Watanabe, K., Nakamura, J., Kikuchi, H., et al. (2017) · Oncotarget · doi:10.18632/oncotarget.23377 · Cited by 18
McCarthy, G. A., Niro, R. D., Finan, J. M., Jain, A., Guo, Y., Wyatt, C. R., Guimarães, A. R., Waugh, T., Keith, D., Morgan, T. K., et al. (2023) · NAR Cancer · doi:10.1093/narcan/zcad016 · Cited by 17
Kang, J. H., Lee, S. S., Kim, J. H., Byun, J. H., Kim, H. J., Yoo, C., Kim, K., Ryoo, B., & Kim, S. C. (2020) · European Radiology · doi:10.1007/s00330-020-07134-8 · Cited by 17
Park, P. C., Choi, G. W., Zaid, M., Elganainy, D., Smani, D. A., Tomich, J., Samaniego, R., Ma, J., Tamm, E. P., Beddar, S. A., et al. (2019) · Medical Physics · doi:10.1002/mp.13769 · Cited by 16
Zaid, M., Elganainy, D., Dogra, P., Dai, A., Widmann, L., Fernandes, P., Wang, Z., Peláez, M. J., Ruiz-Ramírez, J., Singhi, A. D., et al. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.596931 · Cited by 16
Zhang, Y.-J., Wen, C., Qin, Y., Tang, X.-M., Shi, M.-M., Shen, B., & Fang, Y. (2017) · Oncology Reports · doi:10.3892/or.2017.6026 · Cited by 15
Cancer and Cardiovascular Disease: The Conjoined Twins
Zmaili, M. A., Alzubi, J. M., Alkhayyat, M. M., Albakri, A. A., Alkhalaileh, F., Longinow, J., & Moudgil, R. (2024) · Cancers · doi:10.3390/cancers16081450 · Cited by 18
Vos, L. J., Yusuf, D., Lui, A. G. A., Abdelaziz, Z., Ghosh, S., Spratlin, J. L., & Mackey, J. R. (2019) · JCO Precision Oncology · doi:10.1200/po.18.00240 · Cited by 14
Prediction of Tumor Cellularity in Resectable PDAC from Preoperative Computed Tomography Imaging
Jungmann, F., Kaissis, G. A., Ziegelmayer, S., Harder, F., von Schilling, C., Yen, H.-Y., Steiger, K., Weichert, W., Schirren, R., Demir, I. E., et al. (2021) · Cancers · doi:10.3390/cancers13092069 · Cited by 14
Editorial Special Section on Multiscale Cancer Modeling
Wang, Z., & Maini, P. K. (2017) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2017.2655439 · Cited by 15
Kojić, M., Milošević, M., Kojić, N., Koay, E. J., Fleming, J. B., Mauro Ferrari, B., & Žiemys, A. (2016) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2016.06.026 · Cited by 13
Dietary approach to attenuate human pancreatic cancer growth and migration with innoxiousness
Lee, J., Lee, J., Kim, M., & Kim, J. H. (2017) · Journal of Functional Foods · doi:10.1016/j.jff.2016.12.032 · Cited by 13
Molecular tests for prediction of tumor sensitivity to cytotoxic drugs
Имянитов, Е. Н., & Iyevleva, A. G. (2021) · Cancer Letters · doi:10.1016/j.canlet.2021.11.021 · Cited by 12
Elsherif, S. B., Javadi, S., Le, O., Lamba, N., Katz, M. H. G., Tamm, E. P., & Bhosale, P. (2022) · Radiology Imaging Cancer · doi:10.1148/rycan.210068 · Cited by 12
Endothelin-axis antagonism enhances tumor perfusion in pancreatic cancer
Gautam, S. K., Dalal, V., Sajja, B. R., Gupta, S., Gulati, M., Dwivedi, N. V., Aithal, A., Cox, J. L., Rachagani, S., Liu, Y., et al. (2022) · Cancer Letters · doi:10.1016/j.canlet.2022.215801 · Cited by 12
Transport Oncophysics in silico, in vitro, and in vivo
Koay, E. J., & Mauro Ferrari, B. (2014) · Physical Biology · doi:10.1088/1478-3975/11/6/060201 · Cited by 12
Wei, Y., Wang, G., Wang, C., Zhou, Y., Zhang, J., & Xu, K. L. (2020) · Cancer Management and Research · doi:10.2147/cmar.s240040 · Cited by 12
Wei, D., Zaid, M., Katz, M. H. G., Prakash, L. R., Kim, M. P., Tzeng, C.-W. D., Lee, J. E., Agrawal, A., Rashid, A., Wang, H., et al. (2020) · Pancreatology · doi:10.1016/j.pan.2020.11.003 · Cited by 12
Li, J., Wu, X. F., Ni, X., Li, Y.-X., Xu, L., Hao, X., Zhao, W., Zhu, X., & Yin, X. (2023) · Clinical and Translational Medicine · doi:10.1002/ctm2.1213 · Cited by 11
Synergy Between VEGF/VEGFR Inhibitors and Chemotherapy Agents in the Phase I Clinic
Tang, C. Z., Hess, K. R., Jardim, D. L. F., Gagliato, D. D. M., Tsimberidou, A. M., Falchook, G. S., Fu, S., Jankú, F., Naing, A., Piha-Paul, S. A., et al. (2014) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-14-1582 · Cited by 11
Affram, K., Udofot, O., Cat, A., & Agyare, E. (2015) · PubMed · Cited by 11
Emori, T., Ashida, R., Tamura, T., Kawaji, Y., Hatamaru, K., Itonaga, M., Yamashita, Y., Shimokawa, T., Higashino, N., Ikoma, A., et al. (2022) · Pancreatology · doi:10.1016/j.pan.2022.04.005 · Cited by 11
Cytotoxicity of gemcitabine-loaded thermosensitive liposomes in pancreatic cancer cell lines.
Affram, K., Udofot, O., & Agyare, E. (2015) · PubMed · Cited by 11
Holyoake, D., Robinson, M., Grose, D. B., McIntosh, D., Sebag‐Montefiore, D., Radhakrishna, G., Patel, N., Partridge, M., Mukherjee, S., & Hawkins, M. (2016) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2016.08.001 · Cited by 10
Rosemurgy, A. S., Ross, S. B., Vitulli, P. L., Malek, R., Li, J., & Agah, R. (2017) · Journal of Pancreatic Cancer · doi:10.1089/pancan.2017.0011 · Cited by 10
Tumor Site-Dependent Transport Properties Determine Nanotherapeutics Delivery and Its Efficacy
Kai, M., Žiemys, A., Liu, Y. T., Kojić, M., Mauro Ferrari, B., & Yokoi, K. (2019) · Translational Oncology · doi:10.1016/j.tranon.2019.05.011 · Cited by 9
Douglas, J. E., Liu, S., Ma, J., Wolff, R. A., Pant, S., Maitra, A., Tamm, E. P., Bhosale, P., Katz, M. H. G., Varadhachary, G. R., et al. (2022) · BMC Cancer · doi:10.1186/s12885-021-09095-7 · Cited by 9
Lin, H., Hu, C., Zheng, S., Zhang, X., Chen, R., & Zhou, Q. (2021) · Aging · doi:10.18632/aging.202922 · Cited by 9
Sustained degradation of hyaluronic acid using an in situ forming implant
Hopkins, K., Buno, K., Romick, N., dos Santos, A., Tinsley, S. L., Wakelin, E., Kennedy, J., Ladisch, M. R., Allen-Petersen, B. L., & Solorio, L. (2022) · PNAS Nexus · doi:10.1093/pnasnexus/pgac193 · Cited by 8
Pressure-enabled delivery of gemcitabine in an orthotopic pancreatic cancer mouse model
Narayanan, J. S. S., Vicente, D. A., Ray, P., Chai, L. F., Erdem, S., Carr, M. J., Capacio, B. A., Cox, B. F., Jaroch, D., Katz, S. C., et al. (2020) · Surgery · doi:10.1016/j.surg.2020.04.059 · Cited by 7
Amer, A. M., Li, Y., Summerlin, D. S., Burgan, C. M., McNamara, M. M., Smith, A. D., & Morgan, D. E. (2020) · Radiology Imaging Cancer · doi:10.1148/rycan.2020190074 · Cited by 7
A Novel Tumor Progression Prediction Method for Multimode Ablation Treatment
Wang, X., Li, W., Zhang, K., Sun, J., Yang, J., Zhang, A., & Xu, L. X. (2021) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2021.3116607 · Cited by 7
Oncology and mechanics: Landmark studies and promising clinical applications
Urcun, S., Lorenzo, G., Baroli, D., Rohan, P., Sciumè, G., Skalli, W., Lubrano, V., & Bordas, S. (2022) · Advances in applied mechanics · doi:10.1016/bs.aams.2022.05.003 · Cited by 8
Farsad, K., Novelli, P. M., Laing, C., Gandhi, R. T., Cynamon, J., López, C. S., Stempinski, E., Strasser, R., & Agah, R. (2024) · Journal of Vascular and Interventional Radiology · doi:10.1016/j.jvir.2024.03.016 · Cited by 6
Rong, Z., Yang, J., Liu, J., Meng, Q., Hua, J., Tan, Z., Zhang, B., Liu, Y., Du, Q., Wang, W., et al. (2025) · International Journal of Surgery · doi:10.1097/js9.0000000000002242 · Cited by 6
Emerging Challenges to Cellular Therapy of Cancer
Lulla, P., & Brenner, M. K. (2023) · The Cancer Journal · doi:10.1097/ppo.0000000000000637 · Cited by 6
Zhong, J., Zheng, Q., Gao, E., Dong, Z., Zhao, J., An, T., Wu, M., Zhuo, M., Wang, Y., Li, J., et al. (2018) · Thoracic Cancer · doi:10.1111/1759-7714.12581 · Cited by 6
Imaging and Endoscopic Approaches to Pancreatic Cancer
Rosenthal, M. H., Lee, A., & Jajoo, K. (2015) · Hematology/Oncology Clinics of North America · doi:10.1016/j.hoc.2015.04.008 · Cited by 6
Heid, I., Trajkovic‐Arsic, M., Lohöfer, F. K., Kaissis, G. A., Harder, F. N., Mayer, M., Topping, G. J., Jungmann, F., Crone, B., Wildgruber, M., et al. (2022) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-022-05930-6 · Cited by 5
The influence of soluble fragments of extracellular matrix (ECM) on tumor growth and morphology
Nargis, N. N., Aldredge, R. C., & Guy, R. D. (2017) · Mathematical Biosciences · doi:10.1016/j.mbs.2017.11.014 · Cited by 5
Li, Y., Wang, H., Chen, L., Gong, Y., Zheng, D., Li, F., Wu, C., He, Z., & Yu, C. (2025) · Cell Death and Disease · doi:10.1038/s41419-025-08061-6 · Cited by 6
Huang, C., Dai, C., Liu, Q., Chen, S., Guo, Y., Wang, J., Zheng, A., Huang, X., Wu, J., & Yin, X. (2025) · Advanced Healthcare Materials · doi:10.1002/adhm.202503694 · Cited by 4
Lapathoside A Isolated fromFagopyrum esculentumInduces Apoptosis in Human Pancreatic Cancer Cells
Kang, M. S., Ham, Y., Oh, D.-J., Jung, Y., Han, S.-I., & Kim, J. H. (2021) · Anticancer Research · doi:10.21873/anticanres.14826 · Cited by 4
Liu, Y. T., Goel, S., Kai, M., Moran-Guerrero, J. A., Nguyen, T. U., Mai, J., Shen, H., Žiemys, A., & Yokoi, K. (2021) · Pharmaceutics · doi:10.3390/pharmaceutics13040530 · Cited by 4
Reshaping the critical role of surgeons in oncology research
Jones, R. P., Are, C., Hugh, T. J., Grünhagen, D. J., Xu, J., Balch, C. M., & Poston, G. J. (2019) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-018-0149-1 · Cited by 4
Goto, S., Yoshizawa, T., Ishido, K., Seino, H., Morohashi, S., Ogasawara, H., Kubota, S., Ogasawara, K., Nakamura, A., Hakamada, K., et al. (2023) · Oncology Reports · doi:10.3892/or.2023.8498 · Cited by 3
Neoadjuvant Chemotherapy in Pancreatic Cancer
Hank, T. P., Büchler, M. W., & Neoptolemos, J. P. (2021) · JAMA Surgery · doi:10.1001/jamasurg.2020.6273 · Cited by 3
Wang, C. X., Elganainy, D., Zaid, M., Butner, J. D., Agrawal, A., Nizzero, S., Minsky, B. D., Holliday, E. B., Taniguchi, C. M., Smith, G. L., et al. (2022) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2022.04.044 · Cited by 3
Castellanos-Moreno, A., Castellanos-Jaramillo, A., Corella-Madueño, A., Gutiérrez-López, S., & Rosas-Burgos, R. A. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1410.3768 · Cited by 3
Li, X., Liu, Y., Zhou, F., Guo, W., Chen, G., Tao, J., Huang, J., Qiu, J., Chen, H., Ren, B. X., et al. (2025) · Cancer Letters · doi:10.1016/j.canlet.2025.217751 · Cited by 4
Mattioli, S. L., Dogra, P., Longobardi, F., Casiello, G., Apparente, L., Detta, N., Novelli, R., Aramini, A., Cattani, F., Antonangeli, M. I., et al. (2025) · PNAS Nexus · doi:10.1093/pnasnexus/pgaf250 · Cited by 2
Surgical intervention strategies for tumor microenvironment (TME) associated therapeutic resistance
Chen, D., Wang, H., & Che, X. (2025) · Discover Oncology · doi:10.1007/s12672-025-04092-9 · Cited by 2
Liu, Q., Li, R., Liu, B., Liu, H., Shi, X., Yin, X., Ju, X., Zhang, S. W., Wang, J., Zhang, Y., et al. (2026) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-026-03650-5 · Cited by 2
Personalized Therapy of Cancer
Jain, K. K. (2015) · Springer eBooks · doi:10.1007/978-1-4939-2553-7_10 · Cited by 2
Personalized Management of Cancers of Various Organs/Systems
Jain, K. K. (2020) · Springer eBooks · doi:10.1007/978-3-030-62080-6_21 · Cited by 2
Arepally, A., Chomas, J. E., Katz, S. C., Jaroch, D., Kolli, K. P., Prince, E. A., & Liddell, R. P. (2020) · CardioVascular and Interventional Radiology · doi:10.1007/s00270-020-02625-z · Cited by 2
Würfel, L., Niehaus, P., Topping, G. J., Semina, M., Mittelhäuser, M., Kossatz, S., Lesina, M., Lohöfer, F. K., Schilling, F., Kärst, U., et al. (2026) · Scientific Reports · doi:10.1038/s41598-026-56008-4 · Cited by 1
Rosemurgy, A. S., Ross, S. B., Vitulli, P. L., Malek, R., Li, J., & Agah, R. (2017) · Journal of Pancreatic Cancer · doi:10.1089/crpc.2017.0011 · Cited by 1
Emerging Technologies for the Diagnosis and Treatment of Pancreatic Cancer
Swierczewska, M., Козлов, С. В., & Adiseshaiah, P. P. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-811785-9.00022-3 · Cited by 1
Li, T., Tong, H., Yin, H., Luo, Y., Zhu, J., Qin, Z., Yin, S., & He, W. (2021) · Research Square · doi:10.21203/rs.3.rs-795270/v1 · Cited by 1
Adjuvant Chemotherapy in Pancreatic Cancer
Jones, R. P., Ghaneh, P., & Neoptolemos, J. P. (2018) · doi:10.1002/9781119188421.ch113 · Cited by 1
Adjuvant Chemotherapy in Pancreatic Cancer
Mann, K., Jones, R. P., Ghaneh, P., & Neoptolemos, J. P. (2023) · doi:10.1002/9781119876007.ch148 · Cited by 1
Computational Approaches for Multiscale Modeling
Wang, Z., Vittorio Cristini, C., & Deisboeck, T. S. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-394447-4.40013-1
Effects of vascularization on cancer nanochemotherapy outcomes
Paiva, L. R., Ferreira, S. C., & Martins, M. L. (2016) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2016.02.065
Development of a diffusion-based mathematical model for predicting chemotherapy effects
Wang, Z., Kerketta, R., Chuang, Y.-L., & Vittorio Cristini, C. (2014) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2014.6944125
Gemcitabine Resistance Elicits a Calcium Dependent Epigenetic Reprogramming in Pancreatic Cancer
Kutschat, A. P. (2021) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-8475
Multiscale hierarchical models for diffusion in composite media and tissue
Kojić, M., Milošević, M., & Žiemys, A. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-88472-3.00005-0
Kojić, M., Milošević, M., & Žiemys, A. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-88472-3.00008-6
Imaging-Based Biomarkers for Pancreatic Cancer
Thomas, J., Douglas, J. E., & Koay, E. J. (2022) · Springer eBooks · doi:10.1007/978-3-031-05724-3_19
Data from Synergy Between VEGF/VEGFR Inhibitors and Chemotherapy Agents in the Phase I Clinic
Tang, C. Z., Hess, K. R., Jardim, D. L. F., Gagliato, D. D. M., Tsimberidou, A. M., Falchook, G. S., Fu, S., Jankú, F., Naing, A., Piha-Paul, S. A., et al. (2023) · doi:10.1158/1078-0432.c.6523040
Data from Synergy Between VEGF/VEGFR Inhibitors and Chemotherapy Agents in the Phase I Clinic
Tang, C. Z., Hess, K. R., Jardim, D. L. F., Gagliato, D. D. M., Tsimberidou, A. M., Falchook, G. S., Fu, S., Jankú, F., Naing, A., Piha-Paul, S. A., et al. (2023) · doi:10.1158/1078-0432.c.6523040.v1
Stromal Activation Induces the Switch of Metabolic Subtype in Pancreatic CancerPreprint
Rong, Z., Yang, J., Liu, J., Meng, Q., Hua, J., Tan, Z., Zhang, B., Liu, Y., Du, Q., Wang, W., et al. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4810683
Oikawa, S., Mitomi, H., Murai, S., Nakayama, A., Chiba, S., Nishihara, S., Ishii, Y., Yamochi, T., & Yoshida, H. (2025) · Current Oncology · doi:10.3390/curroncol32100578
Douglas, J. E., Liu, S., Ma, J., Wolff, R. A., Pant, S., Maitra, A., Tamm, E. P., Bhosale, P., Katz, M. H. G., Varadhachary, G. R., et al. (2022) · Figshare · doi:10.6084/m9.figshare.17799618
Li, T., Tong, H., Yin, H., Luo, Y., Zhu, J., Qin, Z., Yin, S., & He, W. (2021) · Figshare · doi:10.6084/m9.figshare.16946377
Pan, Y., Wang, X.-J., Zhou, J.-P., Yu, J., & Yu, R.-S. (2026) · BMC Medical Imaging · doi:10.1186/s12880-026-02301-7
Etude et inhibition de l'activation endothéliale au cours de l'angiogenèse
Cossutta, M. (2017) · theses.fr (ABES) · doi:10.70675/b2ab1c80zb5caz47c4za53bz83c66b494fda
Li, L., Gao, X., Zhang, S., Wang, X., Chen, X., Miao, Y., Zhang, T., Yang, M., Liu, C., Liang, T., et al. (2026) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2026.05.012
Ding, Y., Wang, Y., Lin, Y., Zhu, C., Li, K., & Feng, W. (2026) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2026.105566
Metadata
- Authors
- Koay, E. J., Truty, M. J., Cristini, V., Thomas, R. M., Chen, R., Chatterjee, D., Kang, Y., Bhosale, P. R., Tamm, E. P., Crane, C. H., Javle, M., Katz, M. H., Gottumukkala, V. N., Rozner, M. A., Shen, H., Lee, J. E., Wang, H., Chen, Y., Plunkett, W., Abbruzzese, J. L., Wolff, R. A., Varadhachary, G. R., Ferrari, M., & Fleming, J. B.
- Affiliations
- Houston Methodist (US)
- University of Florida (US)
- The University of Texas MD Anderson Cancer Center (US)
- Duke University (US)
- Corresponding author
- Fleming, Jason B.
- ORCID
- Venue
- Journal of Clinical Investigation
- Published
- 2014-03-10
- Volume
- 124
- Issue
- 4
- Pages
- 1525-1536
- ISSN
- 0021-9738 (ISSN-L)
- PMC
- PMC3973100
- OpenAlex
- W2070252009
- Cited by
- 184
- References
- 42
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 4 · 2023: 10 · 2022: 13 · 2021: 22 · 2020: 17 · 2019: 15 · 2018: 17 · 2017: 26 · 2016: 17 · 2015: 21 · 2014: 8
- FWCI
- 11.57
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Clinical Investigation (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation (1263742)
- U.S. Department of Defense (W81XWH, W81XWH0910212)
- Lustgarten Foundation (989161)
- National Institutes of Health (W81XWH)
- U.S. Public Health Service (K12 KCA088084)
- National Cancer Institute (U54CA151668, U54CA149196, U54CA143837, P30CA016672, K12CA088084)
- Topics
- Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › MRI in cancer diagnosis
- Physical Sciences › Mathematics › Modeling and Simulation › Mathematical Biology Tumor Growth
- Keywords
- pancreatic ductal adenocarcinoma, gemcitabine, mass transport properties, contrast-enhanced CT, tumor stroma, hENT1, chemotherapy delivery, chemoradiotherapy, neoadjuvant chemoradiotherapy, pathological response, treatment response prediction
- MeSH terms
- Gemcitabine, Aged, Antimetabolites, Antineoplastic, Biological Transport, Active, Deoxycytidine, DNA, Neoplasm, Female, Humans, Male, Middle Aged, Models, Biological, Pancreatic Neoplasms, Prognosis, Prospective Studies, Tomography, X-Ray Computed, DNA Adducts, Carcinoma, Pancreatic Ductal, Equilibrative Nucleoside Transporter 1, Kaplan-Meier Estimate
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review