The DOI matches its Crossref record; 36 of the 37 references it cites were found in a registry or an index.
Acid-Mediated Tumor Invasion: a Multidisciplinary Study
Abstract
The acid-mediated tumor invasion hypothesis proposes altered glucose metabolism and increased glucose uptake, observed in the vast majority of clinical cancers by fluorodeoxyglucose-positron emission tomography, are critical for development of the invasive phenotype. In this model, increased acid production due to altered glucose metabolism serves as a key intermediate by producing H+ flow along concentration gradients into adjacent normal tissue. This chronic exposure of peritumoral normal tissue to an acidic microenvironment produces toxicity by: (a) normal cell death caused by the collapse of the transmembrane H+ gradient inducing necrosis or apoptosis and (b) extracellular matrix degradation through the release of cathepsin B and other proteolytic enzymes. Tumor cells evolve resistance to acid-induced toxicity during carcinogenesis, allowing them to survive and proliferate in low pH microenvironments. This permits them to invade the damaged adjacent normal tissue despite the acid gradients. Here, we describe theoretical and empirical evidence for acid-mediated invasion. In silico simulations using mathematical models provide testable predictions concerning the morphology and cellular and extracellular dynamics at the tumor-host interface. In vivo experiments confirm the presence of peritumoral acid gradients as well as cellular toxicity and extracellular matrix degradation in the normal tissue exposed to the acidic microenvironment. The acid-mediated tumor invasion model provides a simple mechanism linking altered glucose metabolism with the ability of tumor cells to form invasive cancers. (Cancer Res 2006; 66(10): 5216-23)
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“This leads to diversion of glucose to lactate thereby creating low pH conditions which modulates TME (Warburg et al., 1927; Gatenby et al., 2006; Salimian Rizi et al., 2015).”
From Tumor microenvironment derived exosomes pleiotropically modulate cancer cell metabolism (2016) · cites this paper as Gatenby et al., 2006
In the citing paper
“The Warburg effect, commonly observed characteristic of many cancer types, is identified as the reliance of cancer cells on aerobic glycolysis even under normoxia.”
From Tumor microenvironment derived exosomes pleiotropically modulate cancer cell metabolism (2016) · cites this paper as Gatenby et al., 2006
Citations
Cites
Why Do Cancers Have High Aerobic Glycolysis?
Gatenby, R. A., & Gillies, R. J. (2004) · Nature reviews. Cancer · doi:10.1038/nrc1478 · Cited by 4,784
Self-citation(1989) · PubMed · Cited by 3,343
Hypoxia-mediated selection of cells with diminished apoptotic potential in solid tumours
Graeber, T. G., Osmanian, C., Jacks, T., Housman, D. E., Koch, C. J., Lowe, S. W., & Giaccia, A. J. (1996) · Nature · doi:10.1038/379088a0 · Cited by 2,300
Molecular imaging of cancer with positron emission tomography
Gambhir, S. S. (2002) · Nature reviews. Cancer · doi:10.1038/nrc882 · Cited by 1,658
Helmlinger, G., Yuan, F., Dellian, M., & Jain, R. K. (1997) · Nature Medicine · doi:10.1038/nm0297-177 · Cited by 1,651
The effects of extracellular pH on immune function
Lardner, A. (2001) · Journal of Leukocyte Biology · doi:10.1189/jlb.69.4.522 · Cited by 864
Clinical Applications of PET in Oncology
ROHREN, E. M., Turkington, T. G., & Coleman, R. E. (2004) · Radiology · doi:10.1148/radiol.2312021185 · Cited by 862
Lu, H., Forbes, R. A., & Verma, A. M. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m202487200 · Cited by 832
WARBURN, O., & Dickens, F. (1931) · The American Journal of the Medical Sciences · doi:10.1097/00000441-193107000-00022 · Cited by 815
A reaction-diffusion model of cancer invasion.
Gatenby, R. A., & Gawlinski, E. T. (1996) · PubMed · Cited by 580
Self-citation
Cited by
Sorted by citations
Items 401–500 of 770
Baskar, R., Yap, S. P., Chua, K. L. M., & Itahana, K. (2012) · Europe PMC (PubMed Central) · Cited by 25
The Malignant Phenotype of Breast Cancer Cells Is Reduced by COX-2 Silencing
Stasinopoulos, I. A., Mori, N., & Bhujwalla, Z. M. (2008) · Neoplasia · doi:10.1593/neo.08568 · Cited by 24
A quantitative theoretical model for the development of malignancy in ductal carcinoma in situ
Silva, A. S., Gatenby, R. A., Gillies, R. J., & Yunes, J. A. (2009) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2009.10.031 · Cited by 24
Self-citationHuman embryo immune escape mechanisms rediscovered by the tumor
Ridolfi, L., Petrini, M., Fiammenghi, L., Riccobon, A., & Ridolfi, R. (2008) · Immunobiology · doi:10.1016/j.imbio.2008.03.003 · Cited by 24
Ma, D., Wang, J., Zhao, Y., Lee, W. P., Xiao, J., Go, V. L. W., Wang, Q., Recker, R. R., & Xiao, G. G. (2011) · Pancreas · doi:10.1097/mpa.0b013e318236f022 · Cited by 24
Role of Oxygen in Cancer: Looking Beyond Hypoxia
López‐Lázaro, M. (2009) · Anti-Cancer Agents in Medicinal Chemistry · doi:10.2174/187152009788451806 · Cited by 24
Qin, L., Li, T., & Liu, Y. (2017) · PLoS ONE · doi:10.1371/journal.pone.0187385 · Cited by 25
Si, H. Y., Cho, M. K., Kang, J. S., Noh, C., Shin, S. J., Lim, C. S., & Kim, H. M. (2018) · Analytical Chemistry · doi:10.1021/acs.analchem.8b01114 · Cited by 24
Prasad, S., Chandra, A., Cavo, M., Parasido, E., Fricke, S., Lee, Y., D’Amone, E., Gigli, G., Albanese, C., Rodriguez, O., et al. (2020) · Nanotechnology · doi:10.1088/1361-6528/abc208 · Cited by 23
3D cellular invasion platforms: how do paper-based cultures stack up?
Kenney, R. M., Lloyd, C. C., Whitman, N. A., & Lockett, M. R. (2017) · Chemical Communications · doi:10.1039/c7cc02357j · Cited by 24
Sritangos, P., Alarcon, E. P., James, A. D., Sultan, A. M., Richardson, D. A., & Bruce, J. I. E. (2020) · Cancers · doi:10.3390/cancers12010218 · Cited by 27
Cycling hypoxia selects for constitutive HIF stabilization
Pressley, M., Gallaher, J. A., Brown, J. S., Tomaszewski, M. R., Borad, P., Damaghi, M., Gillies, R. J., & Whelan, C. J. (2021) · Scientific Reports · doi:10.1038/s41598-021-85184-8 · Cited by 23
Self-citationSodium bicarbonate, an inorganic salt and a potential active agent for cancer therapy
Wang, Y., Zhou, X., Wang, W., Wu, Y., Qian, Z., & Peng, Q. (2021) · Chinese Chemical Letters · doi:10.1016/j.cclet.2021.06.032 · Cited by 22
Diversity of dynamics and morphologies of invasive solid tumors
Jiao, Y., & Salvatore Torquato, A. (2012) · AIP Advances · doi:10.1063/1.3697959 · Cited by 24
Mix and Match: Phenotypic Coexistence as a Key Facilitator of Cancer Invasion
Strobl, M. A. R., Krause, A. L., Damaghi, M., Gillies, R. J., Anderson, A. R. A., & Maini, P. K. (2020) · Bulletin of Mathematical Biology · doi:10.1007/s11538-019-00675-0 · Cited by 22
Self-citationZhang, N., Shi, S., Wang, X., Ni, W., Yuan, X., Duan, J., Jia, T. Z., Yoo, B., Ziegler, A., Russo, J. J., et al. (2020) · ACS Chemical Biology · doi:10.1021/acschembio.0c00119 · Cited by 22
Expression and function of voltage gated proton channels (Hv1) in MDA-MB-231 cells
Bare, D. J., Cherny, V. V., Abukhdeir, A. M., DeCoursey, T. E., & Morgan, D. (2020) · PLoS ONE · doi:10.1371/journal.pone.0227522 · Cited by 23
MCT4 Promotes Tumor Malignancy in F98 Glioma Cells
Reuss, A. M., Groos, D., Ghoochani, A., Buchfelder, M., & Savaskan, N. E. (2021) · Journal of Oncology · doi:10.1155/2021/6655529 · Cited by 22
Wang, Y.-H., Zhang, J., Jiang, P., Li, K., Sun, Y., & Huang, Y. (2021) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2021.174252 · Cited by 22
A low carbohydrate, high protein diet combined with celecoxib markedly reduces metastasis
Ho, V. W., Hamilton, M. J., Dang, N.-H., Hsu, B. E., Adomat, H. H., Guns, E. S. T., Weljie, A. M., Samudio, I. J., Bennewith, K. L., & Krystal, G. (2014) · Carcinogenesis · doi:10.1093/carcin/bgu147 · Cited by 22
Burguete, M. I., Galindo, F., Izquierdo, M. A., O’Connor, J., Herrera, G., Luis, S. V., & Vigara, L. (2010) · European Journal of Organic Chemistry · doi:10.1002/ejoc.201000854 · Cited by 22
Coevolution of Tumor Cells and Their Microenvironment: “Niche Construction in Cancer”
Ibrahim‐Hashim, A., Gillies, R. J., Brown, J. S., & Gatenby, R. A. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-804310-3.00008-9 · Cited by 22
Self-citationHydrogels as a New Platform to Recapitulate the Tumor Microenvironment
Ermis, M., Çalamak, S., Calibasi‐Kocal, G., Güven, S., Durmus, N. G., Rizvi, I., Hasan, T. G., Hasırcı, N., Hasırcı, V., & Demirci, U. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-813339-2.00015-3 · Cited by 28
Mathematical model of tumour cord growth along the source of nutrient
Astanin, S. V., & Tosin, A. (2007) · Mathematical Modelling of Natural Phenomena · doi:10.1051/mmnp:2007007 · Cited by 22
Kazokaitė, J., Aspatwar, A., Kairys, V., Parkkila, S., & Matulis, D. (2016) · Drug and Chemical Toxicology · doi:10.1080/01480545.2016.1223095 · Cited by 21
Tavares‐Valente, D., Sousa, B., Schmitt, F. C., Baltazar, F., & Queirós, O. (2021) · Pharmaceutics · doi:10.3390/pharmaceutics13020242 · Cited by 21
BTF3 promotes proliferation and glycolysis in hepatocellular carcinoma by regulating GLUT1
Wang, P., Sun, J., Sun, C., Zhao, H., Zhang, Y., & Chen, J. (2023) · Cancer Biology & Therapy · doi:10.1080/15384047.2023.2225884 · Cited by 21
Molavian, H. R., Kohandel, M., Milosevic, M., & Sivaloganathan, S. (2009) · Cancer Research · doi:10.1158/0008-5472.can-09-2112 · Cited by 21
Yang, N., Liu, C., Peck, A. R., Girondo, M. A., Yanac, A. F., Tran, T. H., Utama, F. E., Tanaka, T., Freydin, B., Chervoneva, I., et al. (2013) · Breast Cancer Research · doi:10.1186/bcr3467 · Cited by 21
Jones, K. M., Randtke, E. A., Howison, C. M., & Pagel, M. D. (2016) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2216418 · Cited by 21
Akhenblit, P. J., Hanke, N. T., Gill, A., Persky, D. O., Howison, C. M., Pagel, M. D., & Baker, A. F. (2016) · Molecular Imaging · doi:10.1177/1536012116645439 · Cited by 21
Akhenblit, P. J., & Pagel, M. D. (2016) · Journal of Cancer Science & Therapy · doi:10.4172/1948-5956.1000382 · Cited by 21
Carbonic anhydrase 2 is a novel invasion‐associated factor in urinary bladder cancers
Tachibana, H., Gi, M., Kato, M., Yamano, S., Fujioka, M., Kakehashi, A., Hirayama, Y., Koyama, Y., Tamada, S., Nakatani, T., et al. (2016) · Cancer Science · doi:10.1111/cas.13143 · Cited by 21
Hypoxia- and acidosis-driven aberrations of secreted microRNAs in endometrial cancer in vitro
Eismann, J., Hirschfeld, M., Erbes, T., Rücker, G., Jäger, M., Ritter, A., Weiß, D., Gitsch, G., & Mayer, S. (2017) · Oncology Reports · doi:10.3892/or.2017.5717 · Cited by 21
Kang, Y., Jü, X., Wang, L., Ding, L., Liu, G., Zhang, S., & Li, B. (2017) · Polymer Chemistry · doi:10.1039/c7py01644a · Cited by 21
Molecular Assemblies of Biomimetic Microcapsules
Jia, Y., & Li, J. (2019) · Langmuir · doi:10.1021/acs.langmuir.8b04319 · Cited by 21
Synergy Between Low Dose Metronomic Chemotherapy and the pH-Centered Approach Against Cancer
Koltai, T., Cardone, R. A., & Reshkin, S. J. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20215438 · Cited by 22
Revisiting lactate dynamics in cancer—a metabolic expertise or an alternative attempt to survive?
Mendes, C., & Serpa, J. (2020) · Journal of Molecular Medicine · doi:10.1007/s00109-020-01965-0 · Cited by 20
pH-regulated single cell migration
Stock, C. M. (2024) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/s00424-024-02907-2 · Cited by 20
Engineered anti-HER2 drug delivery nanosystems for the treatment of breast cancer
Vanni, S., Caputo, T. M., Cusano, A. M., Vita, A. D., Cusano, A., Cocchi, C., Mulè, C., Principe, S., Liverani, C., Celetti, G., et al. (2025) · Nanoscale · doi:10.1039/d4nr03907f · Cited by 24
Jiao, Y., & Salvatore Torquato, A. (2013) · Physical Review E · doi:10.1103/physreve.87.052707 · Cited by 20
Ye, P., Wang, C., Wen, Y., Fang, K., Li, Q., Zhang, X., Yang, J., Li, R., Chen, M., Tong, X., et al. (2024) · Biomaterials · doi:10.1016/j.biomaterials.2024.122960 · Cited by 20
Tapia, L., Pérez, Y., Bolte, M., Casas, J., Solà, J., Quesada, R., & Alfonso, I. (2019) · Angewandte Chemie · doi:10.1002/ange.201905965 · Cited by 19
Wang, X., Zhang, S., Han, K., Wang, L., & Liu, X. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232415991 · Cited by 19
Quiroga, A., Fernández, D., Torres, G. A., & Turner, C. V. (2015) · Applied Mathematics and Computation · doi:10.1016/j.amc.2015.08.038 · Cited by 19
Caruso, J. P., Koch, B. J., Benson, P. D., Varughese, E., Monterey, M. D., Lee, A. E., Dave, A. M., Kiousis, S., Sloan, A. E., & Mathupala, S. P. (2017) · Neoplasia · doi:10.1016/j.neo.2016.12.011 · Cited by 22
Gu, C.-H., Zhang, J., Gao, W., Wang, J., Mou, K., Zhang, X., & Qi, J. (2025) · International Communications in Heat and Mass Transfer · doi:10.1016/j.icheatmasstransfer.2025.108895 · Cited by 19
Fernandes, J. P., Cristi, F., Eaton, H. E., Chen, P. A., Haeflinger, S., Bernard, I., Hitt, M., & Shmulevitz, M. (2019) · Journal of Virology · doi:10.1128/jvi.01380-19 · Cited by 18
The pH sensitivity of –NH exchange in LnDOTA –tetraamide complexes varies with amide substituent
Opina, A. C. L., Wu, Y., Zhao, P., Kiefer, G. E., & Sherry, A. D. (2011) · Contrast Media & Molecular Imaging · doi:10.1002/cmmi.445 · Cited by 18
pH Imaging Using Chemical Exchange Saturation Transfer (CEST) MRI
Pavuluri, K., & McMahon, M. T. (2017) · Israel Journal of Chemistry · doi:10.1002/ijch.201700075 · Cited by 18
Enhanced nitric oxide signaling amplifies vasorelaxation of human colon cancer feed arteries
Voss, N. C. S., Kold‐Petersen, H., & Boedtkjer, E. (2018) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.00368.2018 · Cited by 18
Pourhasanzade, F., & Sabzpoushan, S. H. (2021) · BioMed Research International · doi:10.1155/2021/8886050 · Cited by 18
Mathematical Modelling of Cancer Invasion: A Review
Sfakianakis, N., & Chaplain, M. A. J. (2021) · Springer proceedings in mathematics & statistics · doi:10.1007/978-981-16-4866-3_10 · Cited by 18
Lactic Acidosis in Patients with Solid Cancer
Heneberg, P. (2022) · Antioxidants and Redox Signaling · doi:10.1089/ars.2021.0267 · Cited by 17
A stochastic multiscale model for acid mediated cancer invasion
Hiremath, S. A., & Surulescu, C. (2014) · Nonlinear Analysis Real World Applications · doi:10.1016/j.nonrwa.2014.08.008 · Cited by 18
Targeting cancer cells using 3-bromopyruvate for selective cancer treatment
Baghdadi, H. (2016) · Saudi Journal of Medicine and Medical Sciences · doi:10.4103/1658-631x.194253 · Cited by 18
Prostate cancer exosomes as modulators of the tumor microenvironment
Shephard, A. P., Yeung, V., Clayton, A., & Webber, J. P. (2017) · Journal of Cancer Metastasis and Treatment · doi:10.20517/2394-4722.2017.32 · Cited by 19
López‐Lázaro, M. (2007) · Cancer Biology & Therapy · doi:10.4161/cbt.6.2.3950 · Cited by 18
Zhao, L., Sun, W., Zhang, P., Gao, W. X., Fang, C., & Zheng, A. (2022) · The Kaohsiung Journal of Medical Sciences · doi:10.1002/kjm2.12546 · Cited by 17
Antitumor Compound Testing in Glioblastoma Organotypic Brain Cultures
Biggs, T. E., Foreman, J., Sundström, L., Regenass, U., & Lehembre, F. (2011) · SLAS DISCOVERY · doi:10.1177/1087057111414895 · Cited by 17
A stochastic model featuring acid-induced gaps during tumor progression
Hiremath, S. A., & Surulescu, C. (2016) · Nonlinearity · doi:10.1088/0951-7715/29/3/851 · Cited by 17
Glycemic Status and Prognosis of Patients with Squamous Cell Carcinoma of the Esophagus
Okamura, A., Watanabe, M., Imamura, Y., Hayami, M., Yamashita, K., Kurogochi, T., & Mine, S. (2017) · World Journal of Surgery · doi:10.1007/s00268-017-4036-1 · Cited by 17
Maritim, S., Coman, D., Huang, Y., Rao, J. U., Walsh, J. J., & Hyder, F. (2017) · Contrast Media & Molecular Imaging · doi:10.1155/2017/3849373 · Cited by 17
Kuznetsov, M. B., & Kolobov, A. (2019) · Journal of Mathematical Biology · doi:10.1007/s00285-019-01434-4 · Cited by 17
Mathematical Modeling of p53 Pathways
Kim, E., Kim, J.-Y., & Lee, J. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20205179 · Cited by 17
Dierge, E., Larondelle, Y., & Féron, O. (2020) · Biochimie · doi:10.1016/j.biochi.2020.08.020 · Cited by 17
Varchi, G., Benfenati, V., Pistone, A., Ballestri, M., Sotgiu, G., Guerrini, A., Dambruoso, P. R., Liscio, A., & Ventura, B. (2013) · Photochemical & Photobiological Sciences · doi:10.1039/c2pp25393c · Cited by 17
Therapeutic Implications of Targeting Energy Metabolism in Breast Cancer
Sakharkar, M. K., Shashni, B., Sharma, K., Dhillon, S. K., Ranjekar, P. R., & Sakharkar, K. R. (2013) · PPAR Research · doi:10.1155/2013/109285 · Cited by 17
Proteases Regulate Cancer Stem Cell Properties and Remodel Their Microenvironment
Habič, A., Novak, M., Majc, B., Turnšek, T. L., & Breznik, B. (2021) · Journal of Histochemistry & Cytochemistry · doi:10.1369/00221554211035192 · Cited by 16
α-Enolase inhibits apoptosis and promotes cell invasion and proliferation of skin cutaneous melanoma
Zhang, K., Tian, R., Zhang, W., Li, Y., Zeng, N., Liang, Y., & Tang, S. (2022) · Molecular Biology Reports · doi:10.1007/s11033-022-07540-9 · Cited by 17
Laurentino, T. D. S., Soares, R. D. S., Marie, S. K. N., & Oba‐Shinjo, S. M. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23179507 · Cited by 16
Clinically Translatable Hyperpolarized 13 C Bicarbonate pH Imaging Method for Use in Prostate Cancer
Mu, C., Liu, X., Kim, Y., Riselli, A. M., Korenchan, D. E., Bok, R., Santos, R. D., Sriram, R., Qin, H., Nguyen, H. G., et al. (2023) · ACS Sensors · doi:10.1021/acssensors.3c00851 · Cited by 16
1H-NMR-based metabolic profiling of a colorectal cancer CT-26 lung metastasis model in mice
Li, Y., Wang, C., Li, D., Deng, P., Shao, X., Hu, J., Liu, C., Jie, H., Lin, Y., Li, Z., et al. (2017) · Oncology Reports · doi:10.3892/or.2017.5954 · Cited by 16
Shikonin, vitamin K3 and vitamin K5 inhibit multiple glycolytic enzymes in MCF-7 cells
Chen, J., Hu, X., & Cui, J. (2018) · Oncology Letters · doi:10.3892/ol.2018.8251 · Cited by 16
An acyclic enediyne with a furyl tethering group for efficient inhibition of tumor cell viability
Song, D., Tian, Y., Huang, S., Li, B., Yuan, Y., & Hu, A. (2015) · Journal of Materials Chemistry B · doi:10.1039/c5tb01867f · Cited by 15
A novel role of proteasomal β1 subunit in tumorigenesis
Yuan, F., Ma, Y., You, P., Lin, W., Lu, H., Yu, Y., Wang, X., Jiang, J., Yang, P., Ma, Q., et al. (2013) · Bioscience Reports · doi:10.1042/bsr20130013 · Cited by 16
Expression of tumor-promoting Cyr61 is regulated by hTRA2- 1 and acidosis
Hirschfeld, M., Jaeger, M., Buratti, E., Stuani, C., Grueneisen, J. S., Gitsch, G., & Stickeler, E. (2011) · Human Molecular Genetics · doi:10.1093/hmg/ddr128 · Cited by 17
A reversible plasmonic nanoprobe for dynamic imaging of intracellular pH during endocytosis
Wang, J., Yu, Q., Li, X., Zhao, X., Chen, H., & Xu, J. (2022) · Chemical Science · doi:10.1039/d2sc01069k · Cited by 15
Tumor Dormancy and Reactivation: The Role of Heat Shock Proteins
Amissah, H. A., Combs, S. E., & Shevtsov, M. A. (2024) · Cells · doi:10.3390/cells13131087 · Cited by 15
Tumor malignancy is engaged to prokaryotic homolog toolbox
Fernandes, J., Guedes, P. G., Lage, C. L. S., Rodrigues, J. C. F., & Lage, C. A. S. (2012) · Medical Hypotheses · doi:10.1016/j.mehy.2011.12.014 · Cited by 16
Mechanics of actin filaments in cancer onset and progress
Tafazzoli‐Shadpour, M., Mohammadi, E., & Torkashvand, E. (2020) · International review of cytology · doi:10.1016/bs.ircmb.2020.05.002 · Cited by 14
Dong, K., Chen, W., Zhao, Z., Zhang, Y., Wang, P., Wang, K., Xing, J., Lu, T., & Dong, Y. (2022) · Biomaterials Advances · doi:10.1016/j.bioadv.2022.212957 · Cited by 15
Zhang, Y., Chen, Y., Fang, H., Wang, Y., Li, S., Yuan, H., Yao, S., Qin, S., He, W., & Guo, Z. (2022) · Journal of Materials Chemistry B · doi:10.1039/d2tb00553k · Cited by 15
Haaga, J. R., & Haaga, R. (2013) · Surgery · doi:10.1016/j.surg.2013.03.007 · Cited by 15
VD3 mitigates breast cancer aggressiveness by targeting V-H+-ATPase
Santos, J. M., & Hussain, F. (2019) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2019.05.005 · Cited by 15
Key indexes and the emerging tool for tumor microenvironment editing.
Dai, X., Luo, Y.-N., Xu, Y., & Zhang, J. (2019) · PubMed Central · Cited by 15
Tafreshi, N. K., Silva, A., Estrella, V. C., McCardle, T. W., Chen, T., Jeune‐Smith, Y., Lloyd, M. C., Enkemann, S. A., Smalley, K. S. M., Sondak, V. K., et al. (2013) · Molecular Pharmaceutics · doi:10.1021/mp400222j · Cited by 15
Fibroblasts and Alectinib switch the evolutionary games played by non-small cell lung cancerPreprint
Kaznatcheev, A., Peacock, J., Basanta, D., Marusyk, A., & Scott, J. G. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/179259 · Cited by 14
Kallens, V., Tobar, N., Molina, J., Bidegain, A., Smith, P. C., Porras, O. H., & Martı́nez, J. (2016) · Journal of Cellular Biochemistry · doi:10.1002/jcb.25650 · Cited by 16
Lobo, R. C., Hubbard, N. E., Damonte, P., Mori, H., Pénzváltó, Z., Pham, C. C., Koehne, A. L., Go, A. C., Anderson, S. E., Cala, P. M., et al. (2016) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2016.00093 · Cited by 14
Tumor Microenvironment Biosensors for Hyperpolarized Carbon-13 Magnetic Resonance Spectroscopy
Mu, C., Korenchan, D. E., Wang, S., Wilson, D. M., & Flavell, R. R. (2021) · Molecular Imaging and Biology · doi:10.1007/s11307-020-01570-0 · Cited by 14
Does Cancer Biology Rely on Parrondo’s Principles?
Capp, J., Nedelcu, A. M., Dujon, A. M., Roche, B., Catania, F., Újvári, B., Alix‐Panabières, C., & Frédéric Thomas, A. (2021) · Cancers · doi:10.3390/cancers13092197 · Cited by 15
West, J., Rentzeperis, F., Adam, C. E., Bravo, R., Luddy, K. A., Robertson‐Tessi, M., & Anderson, A. R. A. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1323319 · Cited by 14
An ecological resilience perspective on cancer: Insights from a toy model
Fassoni, A. C., & Yang, H. M. (2016) · Ecological Complexity · doi:10.1016/j.ecocom.2016.10.003 · Cited by 14
Oxidative stress and cancer pain
Ungard, R. G., Seidlitz, E. P., & Singh, G. (2012) · Canadian Journal of Physiology and Pharmacology · doi:10.1139/cjpp-2012-0298 · Cited by 16
Cancer Cell Metabolism: Implications for X-ray and Particle Radiation Therapy
Sertorio, M. G., Perentesis, J. P., Vatner, R. E., Mascia, A. E., Zheng, Y., & Wells, S. I. (2018) · International Journal of Particle Therapy · doi:10.14338/ijpt-18-00023.1 · Cited by 14
Xu, J., Zhu, S., Xu, L., Liu, X., Ding, W., Wang, Q., Chen, Y., & Deng, H. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21165939 · Cited by 14
PET-Specific Parameters and Radiotracers in Theoretical Tumour Modelling
Jennings, M., Marcu, L. G., & Bezak, E. (2015) · Computational and Mathematical Methods in Medicine · doi:10.1155/2015/415923 · Cited by 13
Influence of hypoxia-dependent factors on the progression of neuroblastoma
Ameis, H. M., Drenckhan, A., Freytag, M., Izbicki, J. R., Supuran, C. T., Reinshagen, K., Holland-Cunz, S. G., & Gros, S. J. (2015) · Pediatric Surgery International · doi:10.1007/s00383-015-3831-8 · Cited by 13
Targeting Tumor Microenvironments for Cancer Prevention and Therapy
Li, V., Reid, D., & Dong, L. (2012) · InTech eBooks · doi:10.5772/28692 · Cited by 14
Metadata
- Authors
- Gatenby, R. A., Gawlinski, E. T., Gmitro, A. F., Kaylor, B., & Gillies, R. J.
- Affiliations
- University of Arizona (US)
- Temple University (US)
- Venue
- Cancer Research
- Published
- 2006-05-15
- Volume
- 66
- Issue
- 10
- Pages
- 5216-5223
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2118604693
- Cited by
- 771
- References
- 37
- Citations by year
- 2026: 19 · 2025: 18 · 2024: 25 · 2023: 31 · 2022: 42 · 2021: 47 · 2020: 54 · 2019: 46 · 2018: 36 · 2017: 48 · 2016: 48 · 2015: 48 · 2014: 41 · 2013: 44 · 2012: 36
- FWCI
- 12.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Cancer Research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Cancer Institute (U56CA113004, R01CA093650)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Physical Sciences › Mathematics › Modeling and Simulation › Mathematical Biology Tumor Growth
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Keywords
- tumor acidosis, extracellular matrix degradation, cathepsin B, normal tissue toxicity, tumor-host interface, carcinogenesis, acid resistance
- MeSH terms
- Acidosis, Animals, Breast Neoplasms, Cell Movement, Glucose, Glycolysis, Humans, Hydrogen-Ion Concentration, Male, Models, Biological, Neoplasm Invasiveness, Neoplasm Metastasis, Prostatic Neoplasms, Mice, SCID, Cell Line, Tumor, Cell Growth Processes, Mice
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