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TUMOR STROMA AND REGULATION OF CANCER DEVELOPMENT
Abstract
In the past 25 years, a majority of cancer studies have focused on examining functional consequences of activating and/or inactivating mutations in critical genes implicated in cell cycle control. These studies have taught us a great deal about the functions of oncogenes and tumor suppressor genes and the signaling pathways regulating cell proliferation and/or cell death. However, such studies have largely ignored the fact that cancers are heterogeneous cellular entities whose growth is dependent upon reciprocal interactions between genetically altered “initiated” cells and the dynamic microenvironment in which they live. This review highlights the aspects of cancer development that, like organogenesis during embryonic development and tissue repair in adult mammals, are regulated by interactions between epithelial cells, activated stromal cells, and soluble and insoluble components of the extracellular matrix.
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Cites
Coussens, L. M., & Werb, Z. (2002) · Nature · doi:10.1038/nature01322 · Cited by 15,111
Self-citationHynes (2002) · doi:10.1016/s0092-8674(02)00971-6 · Cited by 8,606
New functions for the matrix metalloproteinases in cancer progression
Egeblad, M., & Werb, Z. (2002) · Nature Reviews Cancer · doi:10.1038/nrc745 · Cited by 6,108
Normalization of Tumor Vasculature: An Emerging Concept in Antiangiogenic Therapy
Jain, R. K. (2005) · Science · doi:10.1126/science.1104819 · Cited by 5,527
Oncogenic ras provokes premature cell senescence associated with accumulation of p53 and p16INK4a
Serrano, M., Lin, A. W., McCurrach, M. E., Beach, D., & Lowe, S. W. (1997) · Cell · doi:10.1016/s0092-8674(00)81902-9 · Cited by 5,218
Tumors: Wounds That Do Not Heal
Flier, J. S., Underhill, L. H., & Dvorak, H. F. (1986) · New England Journal of Medicine · doi:10.1056/nejm198612253152606 · Cited by 4,391
How Matrix Metalloproteinases Regulate Cell Behavior
Sternlicht, M. D., & Werb, Z. (2001) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev.cellbio.17.1.463 · Cited by 3,959
Tumorigenesis and the angiogenic switch
Bergers, G., & Benjamin, L. E. (2003) · Nature reviews. Cancer · doi:10.1038/nrc1093 · Cited by 3,559
Matrix metalloproteinase-9 triggers the angiogenic switch during carcinogenesis
Bergers, G., Brekken, R., McMahon, G., Vu, T. H., Itoh, T., Tamaki, K., Tanzawa, K., Thorpe, P., Itohara, S., Werb, Z., et al. (2000) · Nature Cell Biology · doi:10.1038/35036374 · Cited by 2,797
IKKβ Links Inflammation and Tumorigenesis in a Mouse Model of Colitis-Associated Cancer
Greten, F. R., Eckmann, L., Greten, T. F., Park, J. M., Li, Z.-W., Egan, L. J., Kagnoff, M. F., & Karin, M. (2004) · Cell · doi:10.1016/j.cell.2004.07.013 · Cited by 2,433
Cited by
Accessories to the Crime: Functions of Cells Recruited to the Tumor Microenvironment
Hanahan, D., & Coussens, L. M. (2012) · Cancer Cell · doi:10.1016/j.ccr.2012.02.022 · Cited by 4,632
Self-citationMicroenvironmental regulation of metastasis
Joyce, J. A., & Pollard, J. W. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2618 · Cited by 3,684
Erez, N., Truitt, M., Olson, P., & Hanahan, D. (2010) · Cancer Cell · doi:10.1016/j.ccr.2009.12.041 · Cited by 1,515
The hallmarks of cancer metabolism: still emerging
Pavlova, N. N., Zhu, J., & Thompson, C. B. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2022.01.007 · Cited by 1,418
Tumor Self-Seeding by Circulating Cancer Cells
Kim, M.-Y., Oskarsson, T., Acharyya, S., Nguyen, D. X., Zhang, X. H.-F., Norton, L., & Massagué, J. (2009) · Cell · doi:10.1016/j.cell.2009.11.025 · Cited by 1,335
Salmon, H., Franciszkiewicz, K., Damotte, D., Dieu-Nosjean, M.-C., Validire, P., Trautmann, A., Mami-Chouaib, F., & Donnadieu, E. (2012) · Journal of Clinical Investigation · doi:10.1172/jci45817 · Cited by 1,138
Environment-mediated drug resistance: A major contributor to minimal residual disease
Meads, M. B., Gatenby, R. A., & Dalton, W. S. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2714 · Cited by 892
Bourboulia, D., & Stetler-Stevenson, W. G. (2010) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2010.05.002 · Cited by 710
LOX-Mediated Collagen Crosslinking Is Responsible for Fibrosis-Enhanced Metastasis
Cox, T. R., Bird, D., Baker, A.-M., Barker, H. E., Ho, M. W.-Y., Lang, G., & Erler, J. T. (2013) · Cancer Research · doi:10.1158/0008-5472.can-12-2233 · Cited by 571
Progesterone action in endometrial cancer, endometriosis, uterine fibroids, and breast cancer
Kim, J. J., Kurita, T., & Bulun, S. E. (2013) · Endocrine Reviews · doi:10.1210/er.2012-1043 · Cited by 520
Interplay between ROS and autophagy in cancer cells, from tumor initiation to cancer therapy
Poillet-Perez, L., Despouy, G., Delage-Mourroux, R., & Boyer-Guittaut, M. (2015) · Redox Biology · doi:10.1016/j.redox.2014.12.003 · Cited by 503
Hoarau-Véchot, J., Rafii, A., Touboul, C., & Pasquier, J. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19010181 · Cited by 489
An interleukin-17-mediated paracrine network promotes tumor resistance to anti-angiogenic therapy
Chung, A. S., Wu, X., Zhuang, G., Ngu, H., Kasman, I., Zhang, J., Vernes, J.-M., Jiang, Z., Meng, Y. G., Peale, F. V., et al. (2013) · Nature Medicine · doi:10.1038/nm.3291 · Cited by 445
Cell-Extracellular Matrix Interactions in Normal and Diseased Skin
Watt, F. M., & Fujiwara, H. (2011) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a005124 · Cited by 384
Oxidative stress promotes myofibroblast differentiation and tumour spreading
Toullec, A., Gerald, D., Despouy, G., Bourachot, B., Cardon, M., Lefort, S., Richardson, M., Rigaill, G., Parrini, M., Lucchesi, C., et al. (2010) · EMBO Molecular Medicine · doi:10.1002/emmm.201000073 · Cited by 339
Stimuli‐responsive nanotherapeutics for precision drug delivery and cancer therapy
Qiao, Y., Wan, J., Zhou, L., Ma, W., Yang, Y., Luo, W., Yu, Z., & Wang, H. (2019) · WIREs Nanomedicine and Nanobiotechnology · doi:10.1002/wnan.1527 · Cited by 332
Jeong, S.-Y., Lee, J.-H., Shin, Y., Chung, S., & Kuh, H.-J. (2016) · PLOS ONE · doi:10.1371/journal.pone.0159013 · Cited by 287
Zhang, Z., Li, X., Sun, W., Yue, S., Yang, J., Li, J., Ma, B., Wang, J., Yang, X., Pu, M., et al. (2017) · Cancer Letters · doi:10.1016/j.canlet.2017.03.004 · Cited by 260
Widespread Immunological Functions of Mast Cells: Fact or Fiction?
Rodewald, H.-R., & Feyerabend, T. B. (2012) · Immunity · doi:10.1016/j.immuni.2012.07.007 · Cited by 240
Combined CSL and p53 downregulation promotes cancer-associated fibroblast activation
Procopio, M.-G., Laszlo, C., Al Labban, D., Kim, D. E., Bordignon, P., Jo, S.-H., Goruppi, S., Menietti, E., Ostano, P., Ala, U., et al. (2015) · Nature Cell Biology · doi:10.1038/ncb3228 · Cited by 223
Deng, X., Ruan, H., Zhang, X., Xu, X., Zhu, Y., Peng, H., Zhang, X., Kong, F., & Guan, M. (2020) · International Journal of Cancer · doi:10.1002/ijc.32608 · Cited by 218
Recent advances in MMP inhibitor design
Fisher, J. F., & Mobashery, S. (2006) · Cancer and Metastasis Reviews · doi:10.1007/s10555-006-7894-9 · Cited by 215
DeFilippis, R. A., Chang, H., Dumont, N., Rabban, J. T., Chen, Y.-Y., Fontenay, G. V., Berman, H. K., Gauthier, M. L., Zhao, J., Hu, D., et al. (2012) · Cancer Discovery · doi:10.1158/2159-8290.cd-12-0107 · Cited by 212
Self-citationDumont, N., Liu, B., DeFilippis, R. A., Chang, H., Rabban, J. T., Karnezis, A. N., Tjoe, J. A., Marx, J., Parvin, B., & Tlsty, T. D. (2013) · Neoplasia · doi:10.1593/neo.121950 · Cited by 192
Self-citationGarayoa, M., Garcia, J. L., Santamaria, C., Garcia-Gomez, A., Blanco, J. F., Pandiella, A., Hernández, J. M., Sanchez-Guijo, F. M., del Cañizo, M.-C., Gutiérrez, N. C., et al. (2009) · Leukemia · doi:10.1038/leu.2009.65 · Cited by 148
Zhao, X., Li, L., Zhao, Y., An, H., Cai, Q., Lang, J., Han, X., Peng, B., Fei, Y., Liu, H., et al. (2019) · Angewandte Chemie International Edition · doi:10.1002/anie.201908185 · Cited by 147
DuFort, C. C., DelGiorno, K. E., & Hingorani, S. R. (2016) · Gastroenterology · doi:10.1053/j.gastro.2016.03.040 · Cited by 144
Cancer-associated fibroblasts promote angiogenesis in gastric cancer through galectin-1 expression
Tang, D., Gao, J., Wang, S., Ye, N., Chong, Y., Huang, Y., Wang, J., Li, B., Yin, W., & Wang, D. (2016) · Tumor Biology · doi:10.1007/s13277-015-3942-9 · Cited by 138
HOXA9 promotes ovarian cancer growth by stimulating cancer-associated fibroblasts
Ko, S. Y., Barengo, N., Ladanyi, A., Lee, J.-S., Marini, F., Lengyel, E., & Naora, H. (2012) · Journal of Clinical Investigation · doi:10.1172/jci62229 · Cited by 132
Correa de Sampaio, P., Auslaender, D., Krubasik, D., Failla, A. V., Skepper, J. N., Murphy, G., & English, W. R. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030753 · Cited by 127
Policastro, L. L., Ibañez, I. L., Notcovich, C., Duran, H. A., & Podhajcer, O. L. (2013) · Antioxidants & Redox Signaling · doi:10.1089/ars.2011.4367 · Cited by 120
Tumor-Secreted LOXL2 Activates Fibroblasts through FAK Signaling
Barker, H. E., Bird, D., Lang, G., & Erler, J. T. (2013) · Molecular Cancer Research · doi:10.1158/1541-7786.mcr-13-0033-t · Cited by 119
In vitro 3d cultures to model the tumor microenvironment
Fontana, F., Marzagalli, M., Sommariva, M., Gagliano, N., & Limonta, P. (2021) · Cancers · doi:10.3390/cancers13122970 · Cited by 103
Impact of Tumor Microenvironment and Epithelial Phenotypes on Metabolism in Breast Cancer
Brauer, H. A., Makowski, L., Hoadley, K. A., Casbas-Hernandez, P., Lang, L. J., Romàn-Pèrez, E., D'Arcy, M., Freemerman, A. J., Perou, C. M., & Troester, M. A. (2013) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-12-2123 · Cited by 96
Silverman, A. M., Nakata, R., Shimada, H., Sposto, R., & DeClerck, Y. A. (2012) · Cancer Research · doi:10.1158/0008-5472.can-11-2165 · Cited by 93
Liquid-based three-dimensional tumor models for cancer research and drug discovery
Ham, S. L., Joshi, R., Thakuri, P. S., & Tavana, H. (2016) · Experimental Biology and Medicine · doi:10.1177/1535370216643772 · Cited by 91
Zhou, J. X., Taramelli, R., Pedrini, E., Knijnenburg, T., & Huang, S. (2017) · Scientific Reports · doi:10.1038/s41598-017-09307-w · Cited by 85
Rojas, A., Añazco, C., González, I., & Araya, P. (2018) · Carcinogenesis · doi:10.1093/carcin/bgy012 · Cited by 82
Alonzo, L. F., Moya, M. L., Shirure, V. S., & George, S. C. (2015) · Lab on a Chip · doi:10.1039/c5lc00507h · Cited by 66
Hypoxia-inducible factors as key regulators of tumor inflammation
Mamlouk, S., & Wielockx, B. (2013) · International Journal of Cancer · doi:10.1002/ijc.27901 · Cited by 61
Cell-extrinsic consequences of epithelial stress: activation of protumorigenic tissue phenotypes
Fordyce, C. A., Patten, K. T., Fessenden, T. B., DeFilippis, R., Hwang, E. S., Zhao, J., & Tlsty, T. D. (2012) · Breast Cancer Research · doi:10.1186/bcr3368 · Cited by 50
Self-citationHsu, T.-H., Kao, Y.-L., Lin, W.-L., Xiao, J.-L., Kuo, P.-L., Wu, C.-W., Liao, W.-Y., & Lee, C.-H. (2012) · Integr. Biol. · doi:10.1039/c2ib00112h · Cited by 47
Drug-releasing mesenchymal cells strongly suppress B16 lung metastasis in a syngeneic murine model
Pessina, A., Leonetti, C., Artuso, S., Benetti, A., Dessy, E., Pascucci, L., Passeri, D., Orlandi, A., Berenzi, A., Bonomi, A., et al. (2015) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-015-0200-3 · Cited by 39
Deep learning in digital pathology for personalized treatment plans of cancer patients
Wen, Z., Wang, S., Yang, D. M., Xie, Y., Chen, M., Bishop, J., & Xiao, G. (2023) · Seminars in Diagnostic Pathology · doi:10.1053/j.semdp.2023.02.003 · Cited by 34
The Patient-Derived Cancer Organoids: Promises and Challenges as Platforms for Cancer Discovery
Bae, J., Choi, Y. S., Cho, G., & Jang, S. J. (2022) · Cancers · doi:10.3390/cancers14092144 · Cited by 27
Nie, D. (2010) · Frontiers in Bioscience · doi:10.2741/s56 · Cited by 19
Jo, S.-H., Kim, D. E., Clocchiatti, A., & Dotto, G. P. (2016) · Oncotarget · doi:10.18632/oncotarget.11227 · Cited by 13
Stromal fibroblasts activated by tumor cells promote angiogenesis in mouse gastric cancer
Guo, X., Oshima, H., Kitmura, T., Taketo, M. M., & Oshima, M. (2008) · Journal of Biological Chemistry · doi:10.1074/jbc.m800798200 · Cited by 1
Metadata
- Authors
- Tlsty, T. D., & Coussens, L. M.
- Venue
- Annual Review of Pathology: Mechanisms of Disease
- Publisher
- Annual Reviews
- Published
- 2006-02-01
- Volume
- 1
- Issue
- 1
- Pages
- 119-150
- ISSN
- 1553-4006 (ISSN-L)
- 1553-4014
- OpenAlex
- W2161744213
- Cited by
- 987
- References
- 25
- FWCI
- 2.58
- Type
- journal article
- Language
- en
- Open access
- closed
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