Abstract
Nanomedicine has been heralded as the elusive “magic bullet” of cancer chemotherapeutics ever since the description of the Enhanced Permeability and Retention (EPR) effect in 1986. However, decades of research have often shown a great discrepancy between the salient effects seen in preclinical models and the suboptimal effects seen in clinical trials. This indicates that various obstacles exist within human tumors that impede the delivery and penetration of nanomedicine and that the EPR effect itself may be necessary but not sufficient for an efficacious nanomedicine formulation. Furthermore, these obstacles may be absent or much weaker in often used preclinical models, pointing at the importance of developing novel, clinically relevant preclinical models for testing the efficacy of nanomedicine. It is becoming increasingly clear that the various cellular and extracellular matrix components of the tumor stroma that together consist the tumor microenvironment (TME) play an important role in determining the efficiency of nanomedicine penetration into the tumor. We refer to the impediments that these stromal components of the TME pose to nanomedicine as “stromal barriers”. In this chapter, we review the factors affecting nanomedicine delivery with a particular emphasis on the stromal barriers within the TME. We also review the preclinical models available for testing the efficacy of nanomedicine, and how novel models might be developed to further our understanding of the principles governing nanomedicine delivery and penetration into tumors.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Abbreviations
- ABC:
-
accelerated blood clearance
- ADC:
-
antibody-drug conjugate
- CAF:
-
cancer-associated fibroblast
- CAST:
-
cancer stromal targeting
- CDX:
-
cell-line-derived xenograft
- CPP:
-
cell-penetrating peptide
- ECM:
-
extracellular matrix
- EMT:
-
epithelial-to-mesenchymal transition
- EndMT:
-
endothelial-to-mesenchymal transition
- EPR:
-
enhanced permeability and retention
- GEMM:
-
genetically engineered mouse model
- HA:
-
hyaluronic acid
- IFP:
-
interstitial fluid pressure
- LOX:
-
lysyl oxidase
- MSC:
-
mesenchymal stem cell
- PDX:
-
patient-derived xenograft
- PEG:
-
polyethylene glycol
- PFT:
-
pericyte-to-fibroblast transition
- RES:
-
reticuloendothelial system
- TAM:
-
tumor-associated macrophage
- TCGA:
-
The Cancer Genome Atlas
- TEC:
-
tumor endothelial cell
- TEM:
-
tumor endothelial marker
- TGF-β:
-
transforming growth factor-beta
- TME:
-
tumor microenvironment
- VEGF:
-
vascular endothelial growth factor
References
DeVita VT, Chu E (2008) A history of Cancer chemotherapy. Cancer Res 68:8643–8653
Ma WW, Adjei AA (2009) Novel agents on the horizon for Cancer therapy. CA Cancer J Clin 59:111–137
Gotwals P, Cameron S, Cipolletta D et al (2017) Prospects for combining targeted and conventional cancer therapy with immunotherapy. Nat Rev Cancer 17:286–301
Matsumura Y, Maeda H (1986) A new concept for macromolecular therapeutics in cancer chemotherapy: mechanism of tumoritropic accumulation of proteins and the antitumor agent smancs. Cancer Res 46:6387–6392
Hashizume H, Baluk P, Morikawa S, McLean JW, Thurston G, Roberge S, Jain RK, McDonald DM (2000) Openings between defective endothelial cells explain tumor vessel leakiness. Am J Pathol 156:1363–1380
Markman JL, Rekechenetskiy A, Holler E, Ljubimova JY (2013) Nanomedicine therapeutic approaches to overcome cancer drug resistance. Adv Drug Deliv Rev 65:1866–1879
Cabral H, Miyata K, Osada K, Kataoka K (2018) Block copolymer micelles in Nanomedicine applications. Chem Rev 118:6844–6892
Fang J, Nakamura H, Maeda H (2011) The EPR effect: unique features of tumor blood vessels for drug delivery, factors involved, and limitations and augmentation of the effect. Adv Drug Deliv Rev 63:136–151
Maeda H (2015) Toward a full understanding of the EPR effect in primary and metastatic tumors as well as issues related to its heterogeneity. Adv Drug Deliv Rev 91:3–6
Barenholz Y (Chezy) (2012) Doxil® — the first FDA-approved nano-drug: lessons learned. J Control Release 160:117–134
Hawkins MJ, Soon-Shiong P, Desai N (2008) Protein nanoparticles as drug carriers in clinical medicine. Adv Drug Deliv Rev 60:876–885
O’Brien MER, Wigler N, Inbar M et al (2004) Reduced cardiotoxicity and comparable efficacy in a phase III trial of pegylated liposomal doxorubicin HCl (CAELYX/Doxil) versus conventional doxorubicin for first-line treatment of metastatic breast cancer. Ann Oncol Off J Eur Soc Med Oncol 15:440–449
Gradishar WJ, Tjulandin S, Davidson N, Shaw H, Desai N, Bhar P, Hawkins M, O’Shaughnessy J (2005) Phase III trial of nanoparticle albumin-bound paclitaxel compared with Polyethylated Castor oil–based paclitaxel in women with breast Cancer. J Clin Oncol 23:7794–7803
Hosokawa S, Tagawa T, Niki H, Hirakawa Y, Nohga K, Nagaike K (2003) Efficacy of immunoliposomes on cancer models in a cell-surface-antigen-density-dependent manner. Br J Cancer 89:1545–1551
Matsumura Y, Gotoh M, Muro K et al (2004) Phase I and pharmacokinetic study of MCC-465, a doxorubicin (DXR) encapsulated in PEG immunoliposome, in patients with metastatic stomach cancer. Ann Oncol Off J Eur Soc Med Oncol 15:517–525
Blanco E, Shen H, Ferrari M (2015) Principles of nanoparticle design for overcoming biological barriers to drug delivery. Nat Biotechnol 33:941–951
Miao L, Lin CM, Huang L (2015) Stromal barriers and strategies for the delivery of nanomedicine to desmoplastic tumors. J Control Release 219:192–204
Tanaka HY, Kano MR (2018) Stromal barriers to nanomedicine penetration in the pancreatic tumor microenvironment. Cancer Sci 109:2085–2092
Nie S (2010) Understanding and overcoming major barriers in cancer nanomedicine. Nanomedicine (Lond) 5:523–528
Ranganathan R, Madanmohan S, Kesavan A, Baskar G, Krishnamoorthy YR, Santosham R, Ponraju D, Rayala SK, Venkatraman G (2012) Nanomedicine: towards development of patient-friendly drug-delivery systems for oncological applications. Int J Nanomedicine 7:1043–1060
Nichols JW, Bae YH (2012) Odyssey of a cancer nanoparticle: from injection site to site of action. Nano Today 7:606–618
Matsumura Y (2012) Cancer stromal targeting (CAST) therapy. Adv Drug Deliv Rev 64:710–719
Von Hoff DD, Ervin T, Arena FP et al (2013) Increased survival in pancreatic cancer with nab-paclitaxel plus gemcitabine. N Engl J Med 369:1691–1703
Wang-Gillam A, Li C-P, Bodoky G et al (2016) Nanoliposomal irinotecan with fluorouracil and folinic acid in metastatic pancreatic cancer after previous gemcitabine-based therapy (NAPOLI-1): a global, randomised, open-label, phase 3 trial. Lancet 387:545–557
Gentile F, Chiappini C, Fine D, Bhavane RC, Peluccio MS, Cheng MM-C, Liu X, Ferrari M, Decuzzi P (2008) The effect of shape on the margination dynamics of non-neutrally buoyant particles in two-dimensional shear flows. J Biomech 41:2312–2318
Doshi N, Prabhakarpandian B, Rea-Ramsey A, Pant K, Sundaram S, Mitragotri S (2010) Flow and adhesion of drug carriers in blood vessels depend on their shape: a study using model synthetic microvascular networks. J Control Release 146:196–200
Müller K, Fedosov DA, Gompper G (2015) Margination of micro- and nano-particles in blood flow and its effect on drug delivery. Sci Rep 4:4871
Lee S-Y, Ferrari M, Decuzzi P (2009) Design of bio-mimetic particles with enhanced vascular interaction. J Biomech 42:1885–1890
Thompson AJ, Mastria EM, Eniola-Adefeso O (2013) The margination propensity of ellipsoidal micro/nanoparticles to the endothelium in human blood flow. Biomaterials 34:5863–5871
Vahidkhah K, Bagchi P (2015) Microparticle shape effects on margination, near-wall dynamics and adhesion in a three-dimensional simulation of red blood cell suspension. Soft Matter 11:2097–2109
Toy R, Hayden E, Shoup C, Baskaran H, Karathanasis E (2011) The effects of particle size, density and shape on margination of nanoparticles in microcirculation. Nanotechnology 22:115101
Roose T, Netti PA, Munn LL, Boucher Y, Jain RK (2003) Solid stress generated by spheroid growth estimated using a linear poroelasticity model☆. Microvasc Res 66:204–212
Stylianopoulos T, Martin JD, Chauhan VP et al (2012) Causes, consequences, and remedies for growth-induced solid stress in murine and human tumors. Proc Natl Acad Sci 109:15101–15108
Helmlinger G, Netti PA, Lichtenbeld HC, Melder RJ, Jain RK (1997) Solid stress inhibits the growth of multicellular tumor spheroids. Nat Biotechnol 15:778–783
Kano MR (2014) Nanotechnology and tumor microcirculation. Adv Drug Deliv Rev 74:2–11
Jain RK (2005) Normalization of tumor vasculature: an emerging concept in antiangiogenic therapy. Science 307:58–62
Cabral H, Matsumoto Y, Mizuno K et al (2011) Accumulation of sub-100 nm polymeric micelles in poorly permeable tumours depends on size. Nat Nanotechnol 6:815–823
Matsumoto Y, Nichols JW, Toh K et al (2016) Vascular bursts enhance permeability of tumour blood vessels and improve nanoparticle delivery. Nat Nanotechnol 11:533–538
Kano MR, Bae Y, Iwata C et al (2007) Improvement of cancer-targeting therapy, using nanocarriers for intractable solid tumors by inhibition of TGF-beta signaling. Proc Natl Acad Sci 104:3460–3465
Kano MR, Komuta Y, Iwata C, Oka M, Shirai Y, Morishita Y, Ouchi Y, Kataoka K, Miyazono K (2009) Comparison of the effects of the kinase inhibitors imatinib, sorafenib, and transforming growth factor-β receptor inhibitor on extravasation of nanoparticles from neovasculature. Cancer Sci 100:173–180
Townsend DM, Tew KD (2003) The role of glutathione-S-transferase in anti-cancer drug resistance. Oncogene 22:7369–7375
Tukey RH, Strassburg CP (2000) Human UDP-Glucuronosyltransferases: metabolism, expression, and disease. Annu Rev Pharmacol Toxicol 40:581–616
International Transporter Consortium, Giacomini KM, Huang S-M, et al (2010) Membrane transporters in drug development. Nat Rev Drug Discov 9:215–236
Gottesman MM, Fojo T, Bates SE (2002) Multidrug resistance in cancer: role of ATP–dependent transporters. Nat Rev Cancer 2:48–58
Schinkel AH, Jonker JW (2003) Mammalian drug efflux transporters of the ATP binding cassette (ABC) family: an overview. Adv Drug Deliv Rev 55:3–29
Fröhlich E (2012) The role of surface charge in cellular uptake and cytotoxicity of medical nanoparticles. Int J Nanomedicine 7:5577–5591
Caracciolo G, Pozzi D, Candeloro De Sanctis S, Laura Capriotti A, Caruso G, Samperi R, Laganà A (2011) Effect of membrane charge density on the protein corona of cationic liposomes: interplay between cationic charge and surface area. Appl Phys Lett 99:033702
Bewersdorff T, Vonnemann J, Kanik A, Haag R, Haase A (2017) The influence of surface charge on serum protein interaction and cellular uptake: studies with dendritic polyglycerols and dendritic polyglycerol-coated gold nanoparticles. Int J Nanomedicine Volume 12:2001–2019
Sakulkhu U, Mahmoudi M, Maurizi L, Salaklang J, Hofmann H (2015) Protein Corona composition of Superparamagnetic Iron oxide nanoparticles with various Physico-chemical properties and coatings. Sci Rep 4:5020
Chandran P, Riviere JE, Monteiro-Riviere NA (2017) Surface chemistry of gold nanoparticles determines the biocorona composition impacting cellular uptake, toxicity and gene expression profiles in human endothelial cells. Nanotoxicology 11:507–519
Lundqvist M, Stigler J, Elia G, Lynch I, Cedervall T, Dawson KA (2008) Nanoparticle size and surface properties determine the protein corona with possible implications for biological impacts. Proc Natl Acad Sci 105:14265–14270
Tenzer S, Docter D, Kuharev J et al (2013) Rapid formation of plasma protein corona critically affects nanoparticle pathophysiology. Nat Nanotechnol 8:772–781
Salvati A, Pitek AS, Monopoli MP, Prapainop K, Bombelli FB, Hristov DR, Kelly PM, Åberg C, Mahon E, Dawson KA (2013) Transferrin-functionalized nanoparticles lose their targeting capabilities when a biomolecule corona adsorbs on the surface. Nat Nanotechnol 8:137–143
Discher DE (2005) Tissue cells feel and respond to the stiffness of their substrate. Science 310:1139–1143
Huang C, Butler PJ, Tong S, Muddana HS, Bao G, Zhang S (2013) Substrate stiffness regulates cellular uptake of nanoparticles. Nano Lett 13:1611–1615
Guo P, Liu D, Subramanyam K, Wang B, Yang J, Huang J, Auguste DT, Moses MA (2018) Nanoparticle elasticity directs tumor uptake. Nat Commun 9:130
Duan X, Li Y (2013) Physicochemical characteristics of nanoparticles affect circulation, biodistribution, cellular internalization, and trafficking. Small 9:1521–1532
Durymanov MO, Rosenkranz AA, Sobolev AS (2015) Current approaches for improving Intratumoral accumulation and distribution of Nanomedicines. Theranostics 5:1007–1020
Sun Q, Ojha T, Kiessling F, Lammers T, Shi Y (2017) Enhancing tumor penetration of Nanomedicines. Biomacromolecules 18:1449–1459
Albanese A, Tang PS, Chan WCW (2012) The effect of nanoparticle size, shape, and surface chemistry on biological systems. Annu Rev Biomed Eng 14:1–16
Zhao F, Zhao Y, Liu Y, Chang X, Chen C, Zhao Y (2011) Cellular uptake, intracellular trafficking, and cytotoxicity of Nanomaterials. Small 7:1322–1337
Gilbert B, Huang F, Zhang H, Waychunas GA, Banfield JF (2004) Nanoparticles: strained and stiff. Science 305:651–654
Hatakeyama H, Akita H, Harashima H (2013) The polyethyleneglycol dilemma: advantage and disadvantage of PEGylation of liposomes for systemic genes and nucleic acids delivery to tumors. Biol Pharm Bull 36:892–899
Bell D, Berchuck A, Birrer M et al (2011) Integrated genomic analyses of ovarian carcinoma. Nature 474:609–615
Verhaak RGW, Hoadley KA, Purdom E et al (2010) Integrated genomic analysis identifies clinically relevant subtypes of Glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1. Cancer Cell 17:98–110
Network CGA (2012) Comprehensive molecular characterization of human colon and rectal cancer. Nature 487:330–337
Cancer Genome Atlas Research Network (2012) Comprehensive genomic characterization of squamous cell lung cancers. Nature 489:519–525
Network CGA (2012) Comprehensive molecular portraits of human breast tumours. Nature 490:61–70
Swanton C (2012) Intratumor heterogeneity: evolution through space and time. Cancer Res 72:4875–4882
Navin N, Kendall J, Troge J et al (2011) Tumour evolution inferred by single-cell sequencing. Nature 472:90–94
Lambrechts D, Wauters E, Boeckx B et al (2018) Phenotype molding of stromal cells in the lung tumor microenvironment. Nat Med. https://doi.org/10.1038/s41591-018-0096-5
Patel AP, Tirosh I, Trombetta JJ et al (2014) Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma. Science 344:1396–1401
Khoo BL, Chaudhuri PK, Ramalingam N, Tan DSW, Lim CT, Warkiani ME (2016) Single-cell profiling approaches to probing tumor heterogeneity. Int J Cancer 139:243–255
Liotta L, Petricoin E (2000) Molecular profiling of human cancer. Nat Rev Genet 1:48–56
Collisson EA, Sadanandam A, Olson P et al (2011) Subtypes of pancreatic ductal adenocarcinoma and their differing responses to therapy. Nat Med 17:500–503
Moffitt RA, Marayati R, Flate EL et al (2015) Virtual microdissection identifies distinct tumor- and stroma-specific subtypes of pancreatic ductal adenocarcinoma. Nat Genet 47:1168–1178
Bazak R, Houri M, El Achy S, Kamel S, Refaat T (2015) Cancer active targeting by nanoparticles: a comprehensive review of literature. J Cancer Res Clin Oncol 141:769–784
Byrne JD, Betancourt T, Brannon-Peppas L (2008) Active targeting schemes for nanoparticle systems in cancer therapeutics. Adv Drug Deliv Rev 60:1615–1626
Bertrand N, Wu J, Xu X, Kamaly N, Farokhzad OC (2014) Cancer nanotechnology: the impact of passive and active targeting in the era of modern cancer biology. Adv Drug Deliv Rev 66:2–25
Danhier F, Feron O, Préat V (2010) To exploit the tumor microenvironment: passive and active tumor targeting of nanocarriers for anti-cancer drug delivery. J Control Release 148:135–146
Dancey JE, Bedard PL, Onetto N, Hudson TJ (2012) The genetic basis for Cancer treatment decisions. Cell 148:409–420
Hyman DM, Taylor BS, Baselga J (2017) Implementing genome-driven oncology. Cell 168:584–599
Collins FS, Varmus H (2015) A new initiative on precision medicine. N Engl J Med 372:793–795
Heldin C-H, Rubin K, Pietras K, Östman A (2004) High interstitial fluid pressure — an obstacle in cancer therapy. Nat Rev Cancer 4:806–813
Stylianopoulos T (2017) The solid mechanics of Cancer and strategies for improved therapy. J Biomech Eng 139:021004
Lampi MC, Reinhart-King CA (2018) Targeting extracellular matrix stiffness to attenuate disease: from molecular mechanisms to clinical trials. Sci Transl Med 10:eaao0475
Jain RK (1988) Determinants of tumor blood flow: a review. Cancer Res 48:2641–2658
Ruoslahti E (2002) Specialization of tumour vasculature. Nat Rev Cancer 2:83–90
Nia HT, Liu H, Seano G et al (2016) Solid stress and elastic energy as measures of tumour mechanopathology. Nat Biomed Eng 1:0004
Stylianopoulos T, Martin JD, Snuderl M, Mpekris F, Jain SR, Jain RK (2013) Coevolution of solid stress and interstitial fluid pressure in tumors during progression: implications for vascular collapse. Cancer Res 73:3833–3841
Voutouri C, Polydorou C, Papageorgis P, Gkretsi V, Stylianopoulos T (2016) Hyaluronan-derived swelling of solid tumors, the contribution of collagen and Cancer cells, and implications for Cancer therapy. Neoplasia 18:732–741
McGrail DJ, McAndrews KM, Brandenburg CP, Ravikumar N, Kieu QMN, Dawson MR (2015) Osmotic regulation is required for Cancer cell survival under solid stress. Biophys J 109:1334–1337
Tredan O, Galmarini CM, Patel K, Tannock IF (2007) Drug resistance and the solid tumor microenvironment. JNCI J Natl Cancer Inst 99:1441–1454
Ingber DE (1997) Tensegrity: the architectural basis of cellular Mechanotransduction. Annu Rev Physiol 59:575–599
DuFort CC, Paszek MJ, Weaver VM (2011) Balancing forces: architectural control of mechanotransduction. Nat Rev Mol Cell Biol 12:308–319
Calvo F, Ege N, Grande-Garcia A et al (2013) Mechanotransduction and YAP-dependent matrix remodelling is required for the generation and maintenance of cancer-associated fibroblasts. Nat Cell Biol 15:637–646
Goetz JG, Minguet S, Navarro-Lérida I et al (2011) Biomechanical remodeling of the microenvironment by stromal Caveolin-1 favors tumor invasion and metastasis. Cell 146:148–163
Zanconato F, Cordenonsi M, Piccolo S (2016) YAP/TAZ at the roots of Cancer. Cancer Cell 29:783–803
Das T, Safferling K, Rausch S, Grabe N, Boehm H, Spatz JP (2015) A molecular mechanotransduction pathway regulates collective migration of epithelial cells. Nat Cell Biol 17:276–287
Wei SC, Fattet L, Tsai JH et al (2015) Matrix stiffness drives epithelial–mesenchymal transition and tumour metastasis through a TWIST1–G3BP2 mechanotransduction pathway. Nat Cell Biol 17:678–688
Parekh A, Weaver AM (2009) Regulation of cancer invasiveness by the physical extracellular matrix environment. Cell Adhes Migr 3:288–292
Lu P, Weaver VM, Werb Z (2012) The extracellular matrix: a dynamic niche in cancer progression. J Cell Biol 196:395–406
Shieh AC (2011) Biomechanical forces shape the tumor microenvironment. Ann Biomed Eng 39:1379–1389
Paszek MJ, Zahir N, Johnson KR et al (2005) Tensional homeostasis and the malignant phenotype. Cancer Cell 8:241–254
Mohammadi H, Sahai E (2018) Mechanisms and impact of altered tumour mechanics. Nat Cell Biol 20:766–774
Laklai H, Miroshnikova YA, Pickup MW et al (2016) Genotype tunes pancreatic ductal adenocarcinoma tissue tension to induce matricellular fibrosis and tumor progression. Nat Med 22:497–505
Levental KR, Yu H, Kass L et al (2009) Matrix crosslinking forces tumor progression by enhancing integrin signaling. Cell 139:891–906
Provenzano PP, Cuevas C, Chang AE, Goel VK, Von Hoff DD, Hingorani SR (2012) Enzymatic targeting of the Stroma ablates physical barriers to treatment of pancreatic ductal adenocarcinoma. Cancer Cell 21:418–429
Dolor A, Szoka FC (2018) Digesting a path forward: the utility of collagenase tumor treatment for improved drug delivery. Mol Pharm 15:2069–2083
Malandrino A, Mak M, Kamm RD, Moeendarbary E (2018) Complex mechanics of the heterogeneous extracellular matrix in cancer. Extrem Mech Lett 21:25–34
Streitberger K-J, Reiss-Zimmermann M, Freimann FB, Bayerl S, Guo J, Arlt F, Wuerfel J, Braun J, Hoffmann K-T, Sack I (2014) High-resolution mechanical imaging of Glioblastoma by multifrequency magnetic resonance Elastography. PLoS One 9:e110588
Liu T, Babaniyi OA, Hall TJ, Barbone PE, Oberai AA (2015) Noninvasive in-vivo quantification of mechanical heterogeneity of invasive breast carcinomas. PLoS One 10:e0130258
Zhang L, Nishihara H, Kano MR (2012) Pericyte-coverage of human tumor vasculature and nanoparticle permeability. Biol Pharm Bull 35:761–766
Kamei R, Tanaka HY, Kawano T, Morii C, Tanaka S, Nishihara H, Iwata C, Kano MR (2017) Regulation of endothelial Fas expression as a mechanism of promotion of vascular integrity by mural cells in tumors. Cancer Sci 108:1080–1088
Armulik A, Genové G, Betsholtz C (2011) Pericytes: developmental, physiological, and pathological perspectives, problems, and promises. Dev Cell 21:193–215
Smith NR, Baker D, Farren M et al (2013) Tumor stromal architecture can define the intrinsic tumor response to VEGF-targeted therapy. Clin Cancer Res 19:6943–6956
Balkwill FR, Capasso M, Hagemann T (2012) The tumor microenvironment at a glance. J Cell Sci 125:5591–5596
Aird WC (2012) Endothelial cell heterogeneity. Cold Spring Harb Perspect Med 2:a006429–a006429
Dejana E, Hirschi KK, Simons M (2017) The molecular basis of endothelial cell plasticity. Nat Commun 8:14361
Nolan DJ, Ginsberg M, Israely E et al (2013) Molecular signatures of tissue-specific microvascular endothelial cell heterogeneity in organ maintenance and regeneration. Dev Cell 26:204–219
Hida K, Ohga N, Akiyama K, Maishi N, Hida Y (2013) Heterogeneity of tumor endothelial cells. Cancer Sci 104:1391–1395
Dudley AC (2012) Tumor endothelial cells. Cold Spring Harb Perspect Med 2:a006536–a006536
Seaman S, Stevens J, Yang MY, Logsdon D, Graff-Cherry C, St. Croix B (2007) Genes that distinguish physiological and pathological angiogenesis. Cancer Cell 11:539–554
St Croix B, Rago C, Velculescu V et al (2000) Genes expressed in human tumor endothelium. Science 289:1197–1202
Yoshikawa M, Mukai Y, Okada Y et al (2013) Robo4 is an effective tumor endothelial marker for antibody-drug conjugates based on the rapid isolation of the anti-Robo4 cell-internalizing antibody. Blood 121:2804–2813
Zeisberg EM, Potenta S, Xie L, Zeisberg M, Kalluri R (2007) Discovery of endothelial to Mesenchymal transition as a source for carcinoma-associated fibroblasts. Cancer Res 67:10123–10128
Hosaka K, Yang Y, Seki T et al (2016) Pericyte–fibroblast transition promotes tumor growth and metastasis. Proc Natl Acad Sci 113:E5618–E5627
LeBleu VS, Kalluri R (2018) A peek into cancer-associated fibroblasts: origins, functions and translational impact. Dis Model Mech 11:dmm029447
Quante M, Tu SP, Tomita H et al (2011) Bone marrow-derived Myofibroblasts contribute to the Mesenchymal stem cell niche and promote tumor growth. Cancer Cell 19:257–272
Kalluri R, Weinberg RA (2009) The basics of epithelial-mesenchymal transition. J Clin Invest 119:1420–1428
Lamouille S, Xu J, Derynck R (2014) Molecular mechanisms of epithelial–mesenchymal transition. Nat Rev Mol Cell Biol 15:178–196
Nieto MA, Huang RY-J, Jackson RA, Thiery JP (2016) EMT: 2016. Cell 166:21–45
Tarin D (2013) Role of the host stroma in cancer and its therapeutic significance. Cancer Metastasis Rev 32:553–566
Tarin D, Thompson EW, Newgreen DF (2005) The fallacy of epithelial Mesenchymal transition in Neoplasia. Cancer Res 65:5996–6001
Amatangelo MD, Bassi DE, Klein-Szanto AJP, Cukierman E (2005) Stroma-derived three-dimensional matrices are necessary and sufficient to promote Desmoplastic differentiation of Normal fibroblasts. Am J Pathol 167:475–488
Lee H-O, Mullins SR, Franco-Barraza J, Valianou M, Cukierman E, Cheng JD (2011) FAP-overexpressing fibroblasts produce an extracellular matrix that enhances invasive velocity and directionality of pancreatic cancer cells. BMC Cancer 11:245
Tanaka HY, Kitahara K, Sasaki N et al (2019) Pancreatic stellate cells derived from human pancreatic cancer demonstrate aberrant SPARC-dependent ECM remodeling in 3D engineered fibrotic tissue of clinically relevant thickness. Biomaterials 192:355–367
Tomasek JJ, Gabbiani G, Hinz B, Chaponnier C, Brown RA (2002) Myofibroblasts and mechano-regulation of connective tissue remodelling. Nat Rev Mol Cell Biol 3:349–363
Karsdal MA, Nielsen SH, Leeming DJ et al (2017) The good and the bad collagens of fibrosis – their role in signaling and organ function. Adv Drug Deliv Rev 121:43–56
Zhang H, Chang H, Wang L, Ren K, Martins MCL, Barbosa MA, Ji J (2015) Effect of polyelectrolyte film stiffness on endothelial cells during endothelial-to-Mesenchymal transition. Biomacromolecules 16:3584–3593
Pitt JM, Marabelle A, Eggermont A, Soria J-C, Kroemer G, Zitvogel L (2016) Targeting the tumor microenvironment: removing obstruction to anticancer immune responses and immunotherapy. Ann Oncol 27:1482–1492
Wellenstein MD, de Visser KE (2018) Cancer-cell-intrinsic mechanisms shaping the tumor immune landscape. Immunity 48:399–416
Jiménez-Sánchez A, Memon D, Pourpe S et al (2017) Heterogeneous tumor-immune microenvironments among differentially growing metastases in an ovarian Cancer patient. Cell 170:927–938. e20
Lee SS-Y, Bindokas VP, Kron SJ (2017) Multiplex three-dimensional optical mapping of tumor immune microenvironment. Sci Rep 7:17031
Nathan C, Ding A (2010) Nonresolving inflammation. Cell 140:871–882
Hanahan D, Weinberg RA (2011) Hallmarks of cancer: the next generation. Cell 144:646–674
Ho EA, Piquette-Miller M (2006) Regulation of multidrug resistance by pro-inflammatory cytokines. Curr Cancer Drug Targets 6:295–311
Hanahan D, Weinberg RA (2000) The hallmarks of Cancer. Cell 100:57–70
Day C-P, Merlino G, Van Dyke T (2015) Preclinical mouse Cancer models: a maze of opportunities and challenges. Cell 163:39–53
Hwang C-I, Boj SF, Clevers H, Tuveson DA (2016) Preclinical models of pancreatic ductal adenocarcinoma. J Pathol 238:197–204
Sakai S, Iwata C, Tanaka HY, Cabral H, Morishita Y, Miyazono K, Kano MR (2016) Increased fibrosis and impaired intratumoral accumulation of macromolecules in a murine model of pancreatic cancer co-administered with FGF-2. J Control Release 230:109–115
Domcke S, Sinha R, Levine DA, Sander C, Schultz N (2013) Evaluating cell lines as tumour models by comparison of genomic profiles. Nat Commun 4:2126
Daniel VC, Marchionni L, Hierman JS et al (2009) A primary Xenograft model of small-cell lung Cancer reveals irreversible changes in gene expression imposed by culture in vitro. Cancer Res 69:3364–3373
Piaskowski S, Bienkowski M, Stoczynska-Fidelus E et al (2011) Glioma cells showing IDH1 mutation cannot be propagated in standard cell culture conditions. Br J Cancer 104:968–970
Voskoglou-Nomikos T, Pater JL, Seymour L (2003) Clinical predictive value of the in vitro cell line, human xenograft, and mouse allograft preclinical cancer models. Clin Cancer Res 9:4227–4239
Johnson JI, Decker S, Zaharevitz D et al (2001) Relationships between drug activity in NCI preclinical in vitro and in vivo models and early clinical trials. Br J Cancer 84:1424–1431
Sharpless NE, DePinho RA (2006) The mighty mouse: genetically engineered mouse models in cancer drug development. Nat Rev Drug Discov 5:741–754
Becher OJ, Holland EC (2006) Genetically engineered models have advantages over Xenografts for preclinical studies. Cancer Res 66:3355–3359
Izeradjene K, Combs C, Best M et al (2007) KrasG12D and Smad4/Dpc4 Haploinsufficiency cooperate to induce mucinous cystic neoplasms and invasive adenocarcinoma of the pancreas. Cancer Cell 11:229–243
Hingorani SR, Wang L, Multani AS, Combs C, Deramaudt TB, Hruban RH, Rustgi AK, Chang S, Tuveson DA (2005) Trp53R172H and KrasG12D cooperate to promote chromosomal instability and widely metastatic pancreatic ductal adenocarcinoma in mice. Cancer Cell 7:469–483
Hingorani SR, Petricoin EF, Maitra A et al (2003) Preinvasive and invasive ductal pancreatic cancer and its early detection in the mouse. Cancer Cell 4:437–450
Ijichi H, Chytil A, Gorska AE, Aakre ME, Fujitani Y, Fujitani S, Wright CVE, Moses HL (2006) Aggressive pancreatic ductal adenocarcinoma in mice caused by pancreas-specific blockade of transforming growth factor-β signaling in cooperation with active Kras expression. Genes Dev 20:3147–3160
Hsu PD, Lander ES, Zhang F (2014) Development and applications of CRISPR-Cas9 for genome engineering. Cell 157:1262–1278
Joung JK, Sander JD (2013) TALENs: a widely applicable technology for targeted genome editing. Nat Rev Mol Cell Biol 14:49–55
Urnov FD, Rebar EJ, Holmes MC, Zhang HS, Gregory PD (2010) Genome editing with engineered zinc finger nucleases. Nat Rev Genet 11:636–646
Walrath JC, Hawes JJ, Van Dyke T, Reilly KM (2010) Genetically engineered mouse models in cancer research. Adv Cancer Res 106:113–164
Houghton JA, Taylor DM (1978) Growth characteristics of human colorectal tumours during serial passage in immune-deprived mice. Br J Cancer 37:213–223
Tentler JJ, Tan AC, Weekes CD, Jimeno A, Leong S, Pitts TM, Arcaroli JJ, Messersmith WA, Eckhardt SG (2012) Patient-derived tumour xenografts as models for oncology drug development. Nat Rev Clin Oncol 9:338–350
Hidalgo M, Amant F, Biankin AV et al (2014) Patient-derived Xenograft models: an emerging platform for translational Cancer research. Cancer Discov 4:998–1013
Morelli MP, Calvo E, Ordoñez E, Wick MJ, Viqueira B-R, Lopez-Casas PP, Bruckheimer E, Calles-Blanco A, Sidransky D, Hidalgo M (2012) Prioritizing phase I treatment options through preclinical testing on personalized Tumorgraft. J Clin Oncol 30:e45–e48
Hidalgo M, Bruckheimer E, Rajeshkumar NV, Garrido-Laguna I, De Oliveira E, Rubio-Viqueira B, Strawn S, Wick MJ, Martell J, Sidransky D (2011) A pilot clinical study of treatment guided by personalized Tumorgrafts in patients with advanced Cancer. Mol Cancer Ther 10:1311–1316
Gao H, Korn JM, Ferretti S et al (2015) High-throughput screening using patient-derived tumor xenografts to predict clinical trial drug response. Nat Med 21:1318–1325
Nardella C, Lunardi A, Patnaik A, Cantley LC, Pandolfi PP (2011) The APL paradigm and the “co-clinical trial” project. Cancer Discov 1:108–116
Chen Z, Cheng K, Walton Z et al (2012) A murine lung cancer co-clinical trial identifies genetic modifiers of therapeutic response. Nature 483:613–617
Pergolini I, Morales-Oyarvide V, Mino-Kenudson M et al (2017) Tumor engraftment in patient-derived xenografts of pancreatic ductal adenocarcinoma is associated with adverse clinicopathological features and poor survival. PLoS One 12:e0182855
John T, Kohler D, Pintilie M et al (2011) The ability to form primary tumor Xenografts is predictive of increased risk of disease recurrence in early-stage non-small cell lung Cancer. Clin Cancer Res 17:134–141
Lai Y, Wei X, Lin S, Qin L, Cheng L, Li P (2017) Current status and perspectives of patient-derived xenograft models in cancer research. J Hematol Oncol 10:106
Yu J, Seldin MM, Fu K et al (2018) Topological arrangement of cardiac fibroblasts regulates cellular plasticity. Circ Res 123:73–85
Levinger I, Ventura Y, Vago R (2014) Life is three dimensional—as in vitro Cancer cultures should be. pp 383–414
Edmondson R, Broglie JJ, Adcock AF, Yang L (2014) Three-dimensional cell culture systems and their applications in drug discovery and cell-based biosensors. Assay Drug Dev Technol 12:207–218
Davies PF (2009) Hemodynamic shear stress and the endothelium in cardiovascular pathophysiology. Nat Clin Pract Cardiovasc Med 6:16–26
Shyy JY-J, Chien S (2002) Role of integrins in endothelial mechanosensing of shear stress. Circ Res 91:769–775
White CR, Frangos JA (2007) The shear stress of it all: the cell membrane and mechanochemical transduction. Philos Trans R Soc B Biol Sci 362:1459–1467
Yamada KM, Cukierman E (2007) Modeling tissue morphogenesis and Cancer in 3D. Cell 130:601–610
Bin KJ (2005) Three-dimensional tissue culture models in cancer biology. Semin Cancer Biol 15:365–377
Wu M, Swartz MA (2014) Modeling tumor microenvironments in vitro. J Biomech Eng 136:021011
Fong ELS, Harrington DA, Farach-Carson MC, Yu H (2016) Heralding a new paradigm in 3D tumor modeling. Biomaterials 108:197–213
Katt ME, Placone AL, Wong AD, Xu ZS, Searson PC (2016) In vitro tumor models: advantages, disadvantages, variables, and selecting the right platform. Front Bioeng Biotechnol. https://doi.org/10.3389/fbioe.2016.00012
Park KM, Lewis D, Gerecht S (2017) Bioinspired hydrogels to engineer Cancer microenvironments. Annu Rev Biomed Eng 19:109–133
Mehta G, Hsiao AY, Ingram M, Luker GD, Takayama S (2012) Opportunities and challenges for use of tumor spheroids as models to test drug delivery and efficacy. J Control Release 164:192–204
Weeber F, Ooft SN, Dijkstra KK, Voest EE (2017) Tumor Organoids as a pre-clinical Cancer model for drug discovery. Cell Chem Biol 24:1092–1100
Sachs N, Clevers H (2014) Organoid cultures for the analysis of cancer phenotypes. Curr Opin Genet Dev 24:68–73
Aboulkheyr Es H, Montazeri L, Aref AR, Vosough M, Baharvand H (2018) Personalized Cancer medicine: an Organoid approach. Trends Biotechnol 36:358–371
Matsusaki M, Case CP, Akashi M (2014) Three-dimensional cell culture technique and pathophysiology. Adv Drug Deliv Rev 74:95–103
Nishiguchi A, Yoshida H, Matsusaki M, Akashi M (2011) Rapid construction of three-dimensional multilayered tissues with endothelial tube networks by the cell-accumulation technique. Adv Mater 23:3506–3510
van Duinen V, Trietsch SJ, Joore J, Vulto P, Hankemeier T (2015) Microfluidic 3D cell culture: from tools to tissue models. Curr Opin Biotechnol 35:118–126
Huh D, Hamilton GA, Ingber DE (2011) From 3D cell culture to organs-on-chips. Trends Cell Biol 21:745–754
Ahn J, Sei Y, Jeon N, Kim Y (2017) Tumor microenvironment on a Chip: the Progress and future perspective. Bioengineering 4:64
Tsai H-F, Trubelja A, Shen AQ, Bao G (2017) Tumour-on-a-chip: microfluidic models of tumour morphology, growth and microenvironment. J R Soc Interface 14:20170137
Zhang YS, Zhang Y-N, Zhang W (2017) Cancer-on-a-chip systems at the frontier of nanomedicine. Drug Discov Today 22:1392–1399
McWhorter FY, Davis CT, Liu WF (2015) Physical and mechanical regulation of macrophage phenotype and function. Cell Mol Life Sci 72:1303–1316
Sica A, Mantovani A (2012) Macrophage plasticity and polarization: in vivo veritas. J Clin Invest 122:787–795
Noy R, Pollard JW (2014) Tumor-associated macrophages: from mechanisms to therapy. Immunity 41:49–61
Hosoya H, Kadowaki K, Matsusaki M et al (2012) Engineering fibrotic tissue in pancreatic cancer: a novel three-dimensional model to investigate nanoparticle delivery. Biochem Biophys Res Commun 419:32–37
Matsusaki M, Komeda M, Mura S, Tanaka HY, Kano MR, Couvreur P, Akashi M (2017) Desmoplastic reaction in 3D-pancreatic Cancer tissues suppresses molecular permeability. Adv Healthc Mater 6:1700057
Priwitaningrum DL, Blondé J-BG, Sridhar A, van Baarlen J, Hennink WE, Storm G, Le Gac S, Prakash J (2016) Tumor stroma-containing 3D spheroid arrays: a tool to study nanoparticle penetration. J Control Release 244:257–268
Gong X, Lin C, Cheng J, Su J, Zhao H, Liu T, Wen X, Zhao P (2015) Generation of multicellular tumor spheroids with microwell-based Agarose scaffolds for drug testing. PLoS One 10:e0130348
Khawar IA, Park JK, Jung ES, Lee MA, Chang S, Kuh H-J (2018) Three dimensional mixed-cell spheroids mimic Stroma-mediated Chemoresistance and invasive migration in hepatocellular carcinoma. Neoplasia 20:800–812
Nishiguchi A, Matsusaki M, Kano MR, Nishihara H, Okano D, Asano Y, Shimoda H, Kishimoto S, Iwai S, Akashi M (2018) In vitro 3D blood/lymph-vascularized human stromal tissues for preclinical assays of cancer metastasis. Biomaterials 179:144–155
Liu C-Y, Matsusaki M, Akashi M (2016) Three-dimensional tissue models constructed by cells with nanometer- or micrometer-sized films on the surfaces. Chem Rec 16:783–796
Hsu Y-C, Acuña M, Tahara SM, Peng C-A (2003) Reduced phagocytosis of colloidal carriers using soluble CD47. Pharm Res 20:1539–1542
Rodriguez PL, Harada T, Christian DA, Pantano DA, Tsai RK, Discher DE (2013) Minimal “self” peptides that inhibit phagocytic clearance and enhance delivery of nanoparticles. Science 339:971–975
Lynch I, Dawson KA (2008) Protein-nanoparticle interactions. Nano Today 3:40–47
del Pino P, Pelaz B, Zhang Q, Maffre P, Nienhaus GU, Parak WJ (2014) Protein corona formation around nanoparticles – from the past to the future. Mater Horiz 1:301–313
Alexiou C, Arnold W, Klein RJ, Parak FG, Hulin P, Bergemann C, Erhardt W, Wagenpfeil S, Lübbe AS (2000) Locoregional cancer treatment with magnetic drug targeting. Cancer Res 60:6641–6648
Takae S, Akiyama Y, Otsuka H, Nakamura T, Nagasaki Y, Kataoka K (2005) Ligand density effect on biorecognition by PEGylated gold nanoparticles: regulated interaction of RCA 120 Lectin with lactose installed to the distal end of tethered PEG strands on gold surface. Biomacromolecules 6:818–824
Elias DR, Poloukhtine A, Popik V, Tsourkas A (2013) Effect of ligand density, receptor density, and nanoparticle size on cell targeting. Nanomed Nanotechnol Biol Med 9:194–201
Kumagai M, Kano MR, Morishita Y, Ota M, Imai Y, Nishiyama N, Sekino M, Ueno S, Miyazono K, Kataoka K (2009) Enhanced magnetic resonance imaging of experimental pancreatic tumor in vivo by block copolymer-coated magnetite nanoparticles with TGF-β inhibitor. J Control Release 140:306–311
Stirland DL, Matsumoto Y, Toh K, Kataoka K, Bae YH (2016) Analyzing spatiotemporal distribution of uniquely fluorescent nanoparticles in xenograft tumors. J Control Release 227:38–44
Wang T-H, Hsia S-M, Shieh T-M (2016) Lysyl oxidase and the tumor microenvironment. Int J Mol Sci 18:62
Olive KP, Jacobetz MA, Davidson CJ et al (2009) Inhibition of hedgehog signaling enhances delivery of chemotherapy in a mouse model of pancreatic cancer. Science 324:1457–1461
Lee JJ, Perera RM, Wang H et al (2014) Stromal response to hedgehog signaling restrains pancreatic cancer progression. Proc Natl Acad Sci 111:E3091–E3100
Rhim AD, Oberstein PE, Thomas DH et al (2014) Stromal elements act to restrain, rather than support, pancreatic ductal adenocarcinoma. Cancer Cell 25:735–747
Özdemir BC, Pentcheva-Hoang T, Carstens JL et al (2014) Depletion of carcinoma-associated fibroblasts and fibrosis induces immunosuppression and accelerates pancreas cancer with reduced survival. Cancer Cell 25:719–734
Öhlund D, Handly-Santana A, Biffi G et al (2017) Distinct populations of inflammatory fibroblasts and myofibroblasts in pancreatic cancer. J Exp Med 214:579–596
Gascard P, Tlsty TD (2016) Carcinoma-associated fibroblasts: orchestrating the composition of malignancy. Genes Dev 30:1002–1019
Chronopoulos A, Robinson B, Sarper M et al (2016) ATRA mechanically reprograms pancreatic stellate cells to suppress matrix remodelling and inhibit cancer cell invasion. Nat Commun 7:12630
Sherman MH, Yu RT, Engle DD et al (2014) Vitamin D receptor-mediated stromal reprogramming suppresses pancreatitis and enhances pancreatic cancer therapy. Cell 159:80–93
Cox TR, Bird D, Baker A-M, Barker HE, Ho MW-Y, Lang G, Erler JT (2013) LOX-mediated collagen crosslinking is responsible for fibrosis-enhanced metastasis. Cancer Res 73:1721–1732
Thompson CB, Shepard HM, O’Connor PM et al (2010) Enzymatic depletion of tumor hyaluronan induces antitumor responses in preclinical animal models. Mol Cancer Ther 9:3052–3064
Bala V, Rao S, Boyd BJ, Prestidge CA (2013) Prodrug and nanomedicine approaches for the delivery of the camptothecin analogue SN38. J Control Release 172:48–61
Gébleux R, Stringhini M, Casanova R, Soltermann A, Neri D (2017) Non-internalizing antibody-drug conjugates display potent anti-cancer activity upon proteolytic release of monomethyl auristatin E in the subendothelial extracellular matrix. Int J Cancer 140:1670–1679
Rajendran L, Knölker H-J, Simons K (2010) Subcellular targeting strategies for drug design and delivery. Nat Rev Drug Discov 9:29–42
Varkouhi AK, Scholte M, Storm G, Haisma HJ (2011) Endosomal escape pathways for delivery of biologicals. J Control Release 151:220–228
Ma D (2014) Enhancing endosomal escape for nanoparticle mediated siRNA delivery. Nanoscale 6:6415
Dominska M, Dykxhoorn DM (2010) Breaking down the barriers: siRNA delivery and endosome escape. J Cell Sci 123:1183–1189
Mura S, Nicolas J, Couvreur P (2013) Stimuli-responsive nanocarriers for drug delivery. Nat Mater 12:991–1003
Ganta S, Devalapally H, Shahiwala A, Amiji M (2008) A review of stimuli-responsive nanocarriers for drug and gene delivery. J Control Release 126:187–204
Dams ET, Laverman P, Oyen WJ, Storm G, Scherphof GL, van Der Meer JW, Corstens FH, Boerman OC (2000) Accelerated blood clearance and altered biodistribution of repeated injections of sterically stabilized liposomes. J Pharmacol Exp Ther 292:1071–1079
Ishida T, Ichihara M, Wang X, Kiwada H (2006) Spleen plays an important role in the induction of accelerated blood clearance of PEGylated liposomes. J Control Release 115:243–250
Ishida T, Maeda R, Ichihara M, Irimura K, Kiwada H (2003) Accelerated clearance of PEGylated liposomes in rats after repeated injections. J Control Release 88:35–42
Zhang P, Sun F, Liu S, Jiang S (2016) Anti-PEG antibodies in the clinic: current issues and beyond PEGylation. J Control Release 244:184–193
Engler AC, Ke X, Gao S, Chan JMW, Coady DJ, Ono RJ, Lubbers R, Nelson A, Yang YY, Hedrick JL (2015) Hydrophilic polycarbonates: promising degradable alternatives to poly(ethylene glycol)-based stealth materials. Macromolecules 48:1673–1678
Barz M, Luxenhofer R, Zentel R, Vicent MJ (2011) Overcoming the PEG-addiction: well-defined alternatives to PEG, from structure–property relationships to better defined therapeutics. Polym Chem 2:1900
Ilinskaya AN, Dobrovolskaia MA (2016) Understanding the immunogenicity and antigenicity of nanomaterials: past, present and future. Toxicol Appl Pharmacol 299:70–77
Bhabra G, Sood A, Fisher B et al (2009) Nanoparticles can cause DNA damage across a cellular barrier. Nat Nanotechnol 4:876–883
Sood A, Salih S, Roh D et al (2011) Signalling of DNA damage and cytokines across cell barriers exposed to nanoparticles depends on barrier thickness. Nat Nanotechnol 6:824–833
Hawkins SJ, Crompton LA, Sood A et al (2018) Nanoparticle-induced neuronal toxicity across placental barriers is mediated by autophagy and dependent on astrocytes. Nat Nanotechnol 13:427–433
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Japan KK, part of Springer Nature
About this chapter
Cite this chapter
Tanaka, H.Y., Kano, M.R. (2019). Stromal Barriers Within the Tumor Microenvironment and Obstacles to Nanomedicine. In: Matsumura, Y., Tarin, D. (eds) Cancer Drug Delivery Systems Based on the Tumor Microenvironment. Springer, Tokyo. https://doi.org/10.1007/978-4-431-56880-3_4
Download citation
DOI: https://doi.org/10.1007/978-4-431-56880-3_4
Published:
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-56878-0
Online ISBN: 978-4-431-56880-3
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)