The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
CTGF antagonism with mAb FG-3019 enhances chemotherapy response without increasing drug delivery in murine ductal pancreas cancer
Open accessAbstract
Pancreatic ductal adenocarcinoma (PDA) is characterized by abundant desmoplasia and poor tissue perfusion. These features are proposed to limit the access of therapies to neoplastic cells and blunt treatment efficacy. Indeed, several agents that target the PDA tumor microenvironment promote concomitant chemotherapy delivery and increased antineoplastic response in murine models of PDA. Prior studies could not determine whether chemotherapy delivery or microenvironment modulation per se were the dominant features in treatment response, and such information could guide the optimal translation of these preclinical findings to patients. To distinguish between these possibilities, we used a chemical inhibitor of cytidine deaminase to stabilize and thereby artificially elevate gemcitabine levels in murine PDA tumors without disrupting the tumor microenvironment. Additionally, we used the FG-3019 monoclonal antibody (mAb) that is directed against the pleiotropic matricellular signaling protein connective tissue growth factor (CTGF/CCN2). Inhibition of cytidine deaminase raised the levels of activated gemcitabine within PDA tumors without stimulating neoplastic cell killing or decreasing the growth of tumors, whereas FG-3019 increased PDA cell killing and led to a dramatic tumor response without altering gemcitabine delivery. The response to FG-3019 correlated with the decreased expression of a previously described promoter of PDA chemotherapy resistance, the X-linked inhibitor of apoptosis protein. Therefore, alterations in survival cues following targeting of tumor microenvironmental factors may play an important role in treatment responses in animal models, and by extension in PDA patients.
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Cites
Siegel, R., Naishadham, D., & Jemal, A. (2012) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.20138 · Cited by 10,679
FOLFIRINOX versus Gemcitabine for Metastatic Pancreatic Cancer
Conroy, T., Desseigne, F., Ychou, M., Bouché, O., Guimbaud, R., Bécouarn, Y., Adenis, A., Raoul, J.-L., Gourgou-Bourgade, S., de la Fouchardière, C., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1011923 · Cited by 7,810
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
Tumour micro-environment elicits innate resistance to RAF inhibitors through HGF secretion
Straussman, R., Morikawa, T., Shee, K., Barzily-Rokni, M., Qian, Z. R., Du, J., Davis, A., Mongare, M. M., Gould, J., Frederick, D. T., et al. (2012) · Nature · doi:10.1038/nature11183 · Cited by 1,771
Hyaluronan impairs vascular function and drug delivery in a mouse model of pancreatic cancer
Jacobetz, M. A., Chan, D. S., Neesse, A., Bapiro, T. E., Cook, N., Frese, K. K., Feig, C., Nakagawa, T., Caldwell, M. E., Zecchini, H. I., et al. (2013) · Gut · doi:10.1136/gutjnl-2012-302529 · Cited by 1,120
Self-citationDynamics of the immune reaction to pancreatic cancer from inception to invasion
Clark, C. E., Hingorani, S. R., Mick, R., Combs, C., Tuveson, D. A., & Vonderheide, R. H. (2007) · Cancer Research · doi:10.1158/0008-5472.can-07-0175 · Cited by 990
Self-citationBayne, L. J., Beatty, G. L., Jhala, N., Clark, C. E., Rhim, A. D., Stanger, B. Z., & Vonderheide, R. H. (2012) · Cancer Cell · doi:10.1016/j.ccr.2012.04.025 · Cited by 947
Ijichi, H., Chytil, A., Gorska, A. E., Aakre, M. E., Bierie, B., Tada, M., Mohri, D., Miyabayashi, K., Asaoka, Y., Maeda, S., et al. (2011) · Journal of Clinical Investigation · doi:10.1172/jci42754 · Cited by 256 · cited 2×
“In contrast to the prior finding that inhibition of CXCR2 resulted in reduced CTGF levels and regulated blood vessel density and tumor growth in the related Ptf1a;LSL-Kras;Tgfbr2 mouse model (44), FG-3019 had no effect on mean vessel density over the time course of treatment in KPC mice, and suggests that the relevant…”
BackgroundResultXie, D., Miller, C. W., O'Kelly, J., Nakachi, K., Sakashita, A., Said, J. W., Gornbein, J., & Koeffler, H. P. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m009755200 · Cited by 146
Cited by
Ryan, D. P., Hong, T. S., & Bardeesy, N. (2014) · New England Journal of Medicine · doi:10.1056/nejmra1404198 · Cited by 2,348
Turning foes to friends: targeting cancer-associated fibroblasts
Chen, X., & Song, E. (2019) · Nature Reviews Drug Discovery · doi:10.1038/s41573-018-0004-1 · Cited by 1,879
Diversity and biology of cancer-associated fibroblasts
Biffi, G., & Tuveson, D. A. (2021) · Physiological Reviews · doi:10.1152/physrev.00048.2019 · Cited by 1,265
Self-citationSherman, M. H., Yu, R. T., Engle, D. D., Ding, N., Atkins, A. R., Tiriac, H., Collisson, E. A., Connor, F., Van Dyke, T., Kozlov, S., et al. (2014) · Cell · doi:10.1016/j.cell.2014.08.007 · Cited by 1,158
Self-citationSignaling pathways in cancer-associated fibroblasts and targeted therapy for cancer
Wu, F., Yang, J., Liu, J., Wang, Y., Mu, J., Zeng, Q., Deng, S., & Zhou, H. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00641-0 · Cited by 773
Metadata
- Authors
- Neesse, A., Frese, K. K., Bapiro, T. E., Nakagawa, T., Sternlicht, M. D., Seeley, T. W., Pilarsky, C., Jodrell, D. I., Spong, S. M., & Tuveson, D. A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2013-07-08
- Volume
- 110
- Issue
- 30
- Pages
- 12325-12330
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1965891567
- Cited by
- 246
- References
- 9
- FWCI
- 11.38
- Type
- journal article
- Language
- en
- Open access
- green
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- Neesse, A., Frese, K. K., Bapiro, T. E., Nakagawa, T., Sternlicht, M. D., Seeley, T. W., Pilarsky, C., Jodrell, D. I., Spong, S. M., & Tuveson, D. A. (2013). CTGF antagonism with mAb FG-3019 enhances chemotherapy response without increasing drug delivery in murine ductal pancreas cancer. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1300415110
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