Delivering nanomedicine to solid tumors (original) (raw)

. Author manuscript; available in PMC: 2011 Nov 1.

Published in final edited form as: Nat Rev Clin Oncol. 2010 Sep 14;7(11):653–664. doi: 10.1038/nrclinonc.2010.139

Abstract

Recent advances in nanotechnology have offered new hope for cancer detection, prevention, and treatment. While the enhanced permeability and retention effect has served as a key rationale for using nanoparticles to treat solid tumors, it does not enable uniform delivery of these particles to all regions of tumors in sufficient quantities. This heterogeneous distribution of therapeutics is a result of physiological barriers presented by the abnormal tumor vasculature and interstitial matrix. These barriers are likely to be responsible for the modest survival benefit offered by many FDA-approved nanotherapeutics and must be overcome for the promise of nanomedicine in patients to be realized. Here, we review these barriers to the delivery of cancer therapeutics and summarize strategies that have been developed to overcome these barriers. Finally, we discuss design considerations for optimizing the delivery of nanoparticles to tumors.

Introduction

Rapid advances in nanotechnology have permitted the incorporation of multiple therapeutic, sensing and targeting agents into nanoparticles (for example, liposomes, viruses and quantum dots), with a size range of 1–1,000 nm. These agents have offered new hope for detection, prevention, and treatment in oncology. Nanomedicine for cancer therapy is advantageous over conventional medicine because it has the potential to enable the preferential delivery of drugs to tumors owing to the enhanced permeability and retention (EPR) effect, and the deli very of more than one therapeutic agent for combination therapy. Other advantages of nanomedicine include specific binding of drugs to targets in cancer cells or the tumor microenvironment, simultaneous visualization of tumors using innovative imaging techniques, enhanced drug-circulation times, controlled drug-release kinetics, and superior dose scheduling for improved patient compliance.1–6 Furthermore, many widely used conventional chemotherapeutics, such as taxanes, include synthetic solvents (for example, castor oil and polysorbate 80) that directly contribute to adverse effects.7–9 Finally, many tumor types are inherently resistant to available chemotherapeutics. Nanomedicine has the potential to overcome these problems.10,11

Over 20 nanoparticle therapeutics have been approved by the FDA for clinical use.12,13 Nanoparticle formulations for the treatment of solid tumors (Table 1) include liposomes (such as pegylated liposomal doxorubicin and liposomal daunorubicin), albumin-bound paclitaxel, polymeric particles (such as methoxy-PEG-poly[d,l-lactide]taxol) and many more formulations that are in preclinical and/or clinical trials.12 Although less toxic than conventional therapies, these agents are still associated with adverse effects, such as stomatitis and palmar–plantar erythrodysesthesia for pegylated liposomal doxorubicin14 and sensory neuropathy and nausea for albumin-bound paclitaxel.7 Moreover, these agents are expensive, and the increase in overall survival is modest in many cases (Table 1). Therefore, a better understanding of the barriers that prevent efficacy and uniform delivery of nanoparticles into tumors is needed to develop strategies to improve treatment.

Table 1.

Nanoparticle formulations for the treatment of solid tumors*

Genericname Tradename(s) Indication Benefit
Pegylated liposomal doxorubicin Doxil® and Caelyx® Hiv-related Kaposi’s sarcoma No statistically significant change in overall survival (23 weeks) vs doxorubicin, bleomycin and vincristine treatment (22.3 weeks) for Hiv-related Kaposi’s sarcoma144
Metastatic ovarian cancer Statistically significant overall survival improvement (108 weeks, P = 0.008) vs topotecan treatment (71.1 weeks) for platinum-sensitive patients with ovarian cancer14
Metastatic breast cancer No statistically significant overall survival change (84 weeks) vs conventional doxorubicin (88 weeks) for breast cancer patients receiving first-line therapy145
Liposomal daunorubicin DaunoXome® Hiv-related Kaposi’s sarcoma No statistically significant overall survival change (52.7 weeks) vs doxorubicin, bleomycin and vincristine treatment (48.9 weeks)146
Albumin-bound paclitaxel Abraxane® Metastatic breast cancer Statistically significant overall survival change (56.4 weeks, P = 0.024) vs polyethylated castor oil-based paclitaxel treatment (46.7 weeks) for patients receiving second-line treatment7

Transport of a therapeutic agent from the systemic circulation to cancer cells is a three-step process. First, nanoparticles flow to different regions of tumors via blood vessels. They must then cross the vessel wall, and finally, penetrate through the interstitial space to reach the target cells. Delivery of diagnostic and therapeutic agents differs dramatically between tumor and normal tissues because of differences in their structure. The abnormal organization and structure of the tumor vasculature leads to tortuous and leaky vessels and heterogeneous blood flow.15,16 In addition, the lack of functional lymphatic vessels and the vascular hyper permeability inside tumors results in interstitial hypertension.17 This uniformly elevated interstitial fluid pressure (IFP) reduces convective transport, while the dense extracellular matrix hinders diffusion.18 In this review, we discuss the barriers to nanomedicine delivery and present strategies to overcome them. Finally, we propose design considerations to optimize delivery of nanotherapeutics to solid tumors.

Abnormal blood and lymphatic networks

Blood-flow rate and vascular morphology (that is, the geometric arrangement, diameter, length and number of blood vessels) affect the movement of compounds through the vasculature.19–22 Blood vessels in tumors are highly irregular in their architecture compared with those in normal tissues (Figure 1a). Unlike normal vessels, tumor vessels lack an orderly branching hierarchy from large vessels into successively smaller vessels that feed a regularly spaced capillary bed. Instead, tumor vessels are heterogeneous in their spatial distribution, dilated and tortuous, leaving avascular spaces of various sizes.22,23 In addition, in tumors, vessel-wall structure is abnormal with wide interendothelial junctions, an abnormally thick or thin basement membrane, large numbers of fenestrae and transendothelial channels formed by vesicles,24,25 and maximum pore diameters as large as several hundred nanometers (Figure 1b).26,27 Owing to their irregular structure, vessel walls are leaky and hyperpermeable in some places while not in others. Finally, proliferating tumor cells and/or stromal cells exert solid stress and compress blood vessels, which might cause vessel collapse.28–30

Figure 1.

Figure 1

Vascular structure and function in tumors. a | Longitudinal fluorescence imaging of normal (top) and tumor (bottom) colon tissue in a floxed Apc mouse. Permission obtained from Nature Publishing Group © Kim, P. et al. Nat. Methods 7, 303–305 (2010). b | Tumor vessels are leaky and have large pore sizes, which for some tumor types can be as large as a few micrometers in size. Permission obtained from the National Academy of Sciences, USA © Hobbs, S. K. et al. Proc. Natl Acad. Sci. USA 95, 4607–4612 (1998). c | Blood velocity in normal pial vessels (left) and tumors (right) as a function of vessel diameter. Unlike normal tissue, in tumors blood velocity does not depend on vessel diameter. Permission obtained from the American Association of Cancer Research © Yuan, F. et al. Cancer Res. 54, 4564–4568 (1994). Abbreviation: RBC, red blood cell.

As shown in Box 1, the elevated viscous and geo metrical resistance offered by the vasculature can compromise tumor blood flow.22 Therefore, the average velocity of red blood cells (RBCs) in tumor vessels can be an order of magnitude lower than in normal vessels and the overall perfusion rates (blood flow rate per unit volume) in tumors are reduced compared with many normal tissues (Figure 1c). Furthermore, unlike normal tissue, blood velocity in tumors is independent of vessel diameter and unevenly distributed, leaving poorly perfused or even unperfused regions.31–34 The presence of unperfused regions leads to a hostile tumor micro environment (for example, low partial oxygen pressure, low pH and necrotic tissue), which fuels drug resistance and tumor progression.

Box 1 | Determinants of blood flow

Tumor blood flow, Q, is equal to the pressure difference between arterial and venous ends, Δ_P_, divided by the flow resistance (FR). This is defined in the following equation:22

FR = η_Z_, where η is the apparent viscosity (viscous resistance), and Z is the geometrical resistance. Abnormalities in tumor vasculature increase both the geometric and viscous resistance to blood flow.22,149–151 Geometric resistance is elevated because of the peculiar branching patterns of tumor vessels,152–154 and their deformation due to compression by cancer cells.28,30 viscous resistance is elevated because tumors lose 5–10% of plasma as the blood flows from the arterial to venous side. This results in the increase of red blood cell concentration (hemoconcentration) that in turn increases the apparent viscosity.151,154,155

The normal lymphatic network drains excess fluid from tissue in order to maintain tissue interstitial fluid balance. In tumor tissue, the proliferating cancer cells compress lymphatic vessels, particularly at the center of the tumor, causing their collapse.28 Therefore, functional lymphatic vessels exist only in the tumor periphery.35,36 These peritumor lymphatics carry fluid, growth factors and cancer cells, and mediate tumor metastases via the lymphatic network (Figure 2a).37,38 The inefficient drainage of fluid from the tumor center coupled with fluid leakage from tumor vessels contributes to interstitial hypertension.

Figure 2.

Figure 2

Elevated IFP in tumors. a | The IFP is uniformly elevated in tumors except at the margin. The steep drop of IFP at the margin causes fluid, growth factors and cells to leak out of the tumor into the peritumoral tissue, which in turn might facilitate angiogenesis and metastasis, and inhibit drug delivery. Permission obtained from American Association of Cancer Research © Jain, R. K. et al. Cancer Res. 67, 2729–2735 (2007). b | The IFP and MVP for different tumor types. Permission obtained from the American Association of Cancer Research © Boucher, Y. & Jain, R. K. Cancer Res. 52, 5110–5114 (1992) and © Boucher, Y. et al. Cancer Res. 56, 4264–4266 (1996). c | IFP profile as a function of the distance from the tumor surface. Permission obtained from the American Association of Cancer Research © Boucher, Y. et al. Cancer Res. 50, 4478–4484 (1990). Abbreviations: IFP, interstitial fluid pressure; IFV, interstitial fluid velocity; MVP, microvascular pressure.

Interstitial hypertension and impaired blood supply reduces the efficacy and delivery of therapeutic agents in solid tumors.16 The subsequent hypoxia in tumor cells not only induces resistance to radiotherapy, but also causes resistance to several cytotoxic drugs. Independent of these effects, the genetic instability induced by hypoxia selects for cells with an increased potential for metastatasis. The cytotoxic functions of immune cells that infiltrate a tumor are also compromised by both hypoxia and low pH. The fragile tumor vasculature may also facilitate the shedding of cancer cells into the circulation, which is a pre requisite for metastasis. Unfortunately, this abnormal tumor microenvironment does not impair tumor-cell survival.

In conclusion, the spatial and temporal heterogeneities in blood supply and vessel permeability along with poor lymphatic drainage help to create an abnormal microenvironment that impairs uniform delivery and efficacy of therapeutic agents in tumors.

Abnormal vascular barrier

There are at least five pathways for transport across the vascular endothelium: pathway one is diffusion through endothelial cells, two is lateral membrane diffusion, three is transport through intercellular junctions, four is transport through intracellular fenestrations (~40–60 nm), and, finally, five is vesicular transport (~100 nm).24 Water and lipophilic solutes use pathways one, three and four for transport, and lipophilic solutes also cross the vascular endothelilum by pathway two. Hydrophylic solutes and macromolecules use pathways three and four, but macromolecules may also follow pathway five. Nanoparticles that are larger than albumin (~4 nm) are most likely to follow pathway three because interendothelial junctions in some tumors can be as large as a few micrometers.26,27 The parameters that affect the extravasation of nanoparticles from the blood vessels are presented in Box 2.

Box 2 | Determinants of transvascular transport

Extravasation of materials from the blood vessels can occur by diffusion and convection and is described by the following equation:24

J=PS(Cp−Ci)+LpS(1−σ)[(pv−pi)−σ(πv−πi)]Cp

J is the flux (mass per unit volume) of materials crossing the vessel wall, P is the vascular permeability, S is the vessels’ surface area, _C_p−_C_i is the concentration difference of the material between the plasma and the interstitial space, _L_p is the hydraulic conductivity of the vessel wall, _p_v−_p_i is the difference between microvascular and interstitial fluid pressure, σ is the osmotic reflection coefficient, and πv−πi is the osmotic pressure difference across the wall. The vascular permeability depends on the properties of the particle (size, charge and configuration) and the vessel wall (pore size, charge and arrangement). It decreases as the particle size increases and becomes zero when the particle size is larger than the pore cut-off size. The hydraulic conductivity is a property of the morphology of the wall and depends on the fraction of the wall surface occupied by pores. More comprehensive models for transvascular models exist but they are beyond the scope of this Review.

Since tumor blood vessels have larger pores, the vascular permeability and hydraulic conductivity are significantly higher in tumor than in normal tissues;26,32,39–41 This is the basis for the EPR effect.40,42 Nanoparticles extravasate in tumor tissue from these large pores in tumor vessels. Vascular permeability decreases with the increase in the size of the transported particle.43,44 Furthermore, cationic nanoparticles preferentially target tumor vessels and exhibit higher permeability compared with their anionic or neutral counterparts.45–49 Vascular permeability depends not only on the properties of the particle, but also on the physiological characteristics of the vasculature. While using the EPR effect as a rationale for nanoparticles, it is often overlooked that not all tumor vessels are leaky, which causes a heterogeneous distribution of pore sizes and thus, heterogeneous extravasation and delivery.43,44,50 In addition, the permeability in tumor models depends on the transplantation site and varies with time and in response to treatment.50–52

Another important barrier to transvascular transport is the elevated IFP that reduces pressure gradients across the vessel wall. In normal tissues, IFP is approximately 0 mmHg whereas tumors exhibit interstitial hypertension, 15,38 which is caused by the high permeability of tumor vessels in combination with the lack of functional lymphatic vessels in the tumor interstitial space.15,35 As a result, the IFP is uniformly elevated inside the tumor and becomes almost equal to the microvascular pressure (Figure 2b).17,53–57 However, close to the tumor margin the IFP drops rapidly to normal values causing a steep pressure gradient (Figure 2c).53,58,59 A direct consequence of the elevated IFP levels is that the main mechanism of mass transport across the vessel wall is diffusion, a process that is much slower than convection, particularly for large particles. It is also possible the IFP inside the tumor could transiently exceed the micro vascular fluid pressure and, thus, cause intravasation of materials back to the blood supply.55 Moreover, transmural coupling between microvascular pressure and IFP can abolish the pressure gradient along the length of a tumor vessel causing blood stasis in the absence of physical occlusions.60,61 Finally, because of the steep drop in IFP, interstitial fluid escapes from the tumor periphery into the surrounding healthy tissue, carrying not only therapeutic nanoparticles but also growth factors (for example, VEGF-A, VEGF-C, platelet-derived growth factor [PDGF]-A and PDGF-C) and cells (for example, metastatic cancer cells) that fuel tumor progression.38,62

It is worth noting that the EPR effect (that is, increased vessel leakiness and impaired lymphatic function) is observed even during the early stages of carcinogenesis (for example, dysplasia and hyperplasia).63 Thus, nanoparticles could be used to detect very small lesions for surgical removal.64,65 However, the impairment of blood and lymphatic vessels could also pose a challenge for uniform delivery of nanoparticles throughout these lesions. Thus, the large size of nanoparticles along with the uniformly elevated IFP in tumors hinder transport across the vessel walls and compromise the benefits of the EPR effect.

Abnormal interstitial barrier

The parameters that govern the interstitial transport of nanoparticles in tumors are described in Box 3. The uniformly elevated IFP eliminates pressure gradients not only across the tumor vessel walls, but also inside the tumor. Therefore, the main mechanism of transport within tumors is diffusion. The tumor interstitial matrix consists of a highly interconnected network of collagen fibers that interact with other molecules, such as proteoglycans and glycosaminoglycans.66,67 The movement of a diffusing nanoparticle depends on its size, charge and configuration as well as the physicochemical properties of the interstitial matrix.18 Small therapeutic agents, such as chemo therapeutics, whose size is usually up to a few nanometers, diffuse fairly rapidly in the tumor interstitial matrix. However, the diffusion coefficient of nanoparticles, such as liposomes and viruses, whose size can be up to hundreds of nanometers in diameter, is considerably hindered by interactions with the interstitial matrix. Indeed, the extravascular space available for large therapeutic agents decreases with the size of the agents.68 In addition, in many tumors, particles larger than 60 nm in diameter are not able to effectively diffuse through the collagen matrix.69–72 These particles extravasate from blood vessels, but because they cannot penetrate the tumor interstitial space, are concentrated around the vessels heterogeneously and cause only local effects (Figure 3a,b).43,73 Charged particles develop electrostatic attraction or repulsion with charged components of the interstitial space that further hinders their diffusion, while macromolecules with linear, semi-flexible configuration diffuse more efficiently than do rigid spherical particles of comparable size.70,74

Box 3 | Determinants of interstitial transport

Transport of nanoparticles through the interstitial matrix is governed by diffusion and convection:18

_C_i is the nanoparticle concentration, v the interstitial fluid velocity, D the diffusion coefficient of the nanoparticles and R a term that accounts for binding or degradation of the nanoparticles. The fluid velocity depends on changes in the interstitial fluid pressure and because the latter is uniform in the center of the tumor, it is negligible except at the tumor margin. The diffusion coefficient depends on the properties of the nanoparticles (size, charge and configuration) and the structure of the interstitial matrix.

Figure 3.

Figure 3

Barriers to interstitial transport of nanoparticles. a | The size of therapeutic agents can differ up to four orders of magnitude. b | The distribution of liposomes with a size of 90 nm in a tumor. The nanoparticles (bright red color) extravasate from some tumor blood vessels (black color) but because of their large size they cannot penetrate the tumor interstitial matrix and are concentrated in the perivascular region. Please note there is no extravasation from some vessels. Permission obtained from the American Association of Cancer Research © Yuan, F. et al. Cancer Res. 54, 3352–3356 (1994). c | Diffusion of nanoparticles in the tumor interstitium depends on collagen content. At high collagen regions (red color) the concentration of herpes simplex virus (green color; with a size of 150 nm) is low, while at low collagen regions the concentration of the virus increases. Permission obtained from the American Association of Cancer Research © McKee, T. D. et al. Cancer Res. 66, 2509–2513 (2006). d | Diffusion also depends on the implantation site. The plot depicts the diffusion coefficient of macromolecules in Mu89 melanomas and U87 glioblastomas implanted in the cranium and the dorsal skin. The diffusion coefficients in PBS solution are shown for comparison. Permission obtained from the National Academy of Sciences, USA © Pluen, A. et al. Proc. Natl Acad. Sci. USA 98, 4628–4633 (2001). Abbreviations: CW, cranial window; DC, dorsal chamber; PBS, phosphate buffered saline.

The collagen content is the major determinant of interstitial transport (Figure 3c).75–77 Tumors rich in collagen hinder diffusion to a greater extent than tumors with a low collagen content. Also, the site of tumor growth plays a crucial role in the transport properties of the tumor.69 As shown in Figure 3d, the same tumor type implanted in two different locations in mice (dorsal skin versus cranium) exhibits different diffusion coefficients, presumably because of different collagen levels.69 Furthermore, collagen fibers carry a slightly positive charge at neutral pH, and thus may interact with negatively charged nanoparticles to form aggregates.78

Another determinant of interstitial transport is the sulfated glycosaminoglycan content. These thin and elongated fibers not only significantly increase the viscosity of the interstitial fluid, but they also carry a highly negative charge that—even in small quantities—can inhibit the transport of materials by forming aggregates.75,79–82 For example, electrostatic binding between the diffusing nanoparticle and heparan sulfate can decrease the diffusion coefficient of the particle by three orders of magnitude.80,81 However, this binding is reversible and enzymatic digestion of the heparan sulfate chains can rescue the mobility of the particle.

Finally, the heterogeneous distribution of the components of the interstitial matrix in the tumor separates the matrix in two phases—the viscous and the aqueous. The viscous phase is considered to be in regions of high collagen-fiber concentration and significantly hinders the particle mobility. The aqueous phase is found in low fiber-concentration regions where the diffusivity of the particle is similar to that in water. The two-phase nature of transport in the tumor matrix results in a two-component diffusion.72,83 The fast component is associated with the aqueous phase, while the slow component is associated with the viscous phase. Consequently, the distributions of these phases greatly affect particle distribution in the tumor.

In conclusion, the dense and heterogeneous structure of the extracellular matrix in desmoplastic tumors blocks large nanotherapeutics and results in the heterogeneous distribution of these agents.

Strategies to improve delivery

From the above evidence, we conclude that inefficient transport of diagnostic and therapeutic nanoparticles in tumors is a result of the abnormal structure and function of tumor vessels and the dense matrix associated with the desmoplastic response. Therefore, therapeutic strategies to enhance drug delivery have focused on normalizing the tumor vasculature to increase the efficiency of the vascular network, and normalizing the tumor interstitial matrix so that nanoparticles penetrate faster and deeper inside the tumor.

Normalization of tumor vasculature

New vessel formation in tumors is initiated by an imbalance of proangiogenic and antiangiogenic factors.16,84,85 In normal tissues, the balance between these factors maintains the normal architecture of the vascular network in order to ensure optimal function. In tumors, however, proangiogenic molecules, (for example, VEGF, basic fibroblast growth factor and PDGF) are usually over expressed, which tips the balance towards the pro angiogenic side and causes the formation of chaotic blood vessels (Figure 4a). Therefore, judicious application of anti angiogenic agents can restore the balance and revert the vasculature to a more ‘normal’ phenotype.16,86

Figure 4.

Figure 4

Effect of vascular normalization. a | Tumor angiogenesis results from an imbalance between antiangiogenic and proangiogenic factors. Normalization aims to restore this balance and bring the tumor vasculature to a more normal phenotype. Permission obtained from the American Association for the Advancement of Science © Jain, R. K. Science 307, 58–62 (2005). b | Use of an anti-VEGF antibody, DC101, reduced IFP and had no effect on MVP. Permission obtained from the American Association of Cancer Research © Tong, R. T. et al. Cancer Res. 64, 3731–3736 (2004). c | Frozen sections of murine mammary adenocarcinoma (MCa IV) tumors with perfused biotinylated lectin to indentify functional vessels, and extravasated tetramethyl rhodamine isothiocyanate–BSA to study interstitial penetration. Vessels were identified using the ImageJ software and the average intensity of BSA was quantified as a function of distance from the blood vessel wall. Tumors treated with the antiangiogenic agent DC101 exhibited increased penetration of BSA in the tumor interstitial space. Permission obtained from the American Association of Cancer Research © Tong, R. T. et al. Cancer Res. 64, 3731–3736 (2004). d | Normalization by DC101 decreased hypoxia in brain tumors in mice. Hypoxia reached a minimum at day 5, and a partial relapse occurred at day 8. *P <0.05, compared with untreated control; +P <0.05, compared with rat IgG-treated control (day 2); #P <0.05, compared with day 2 after initiation of DC101 therapy. Permission obtained from Elsevier Ltd. © Winkler, F. et al. Cancer Cell 6, 553–563 (2004). Abbreviations: BSA, bovine serum albumin; IFP, interstitial fluid pressure; MVP, microvascular pressure.

Of all the established proangiogenic molecules, VEGF seems to be the most critical and has been the focus of many studies. Blockade of VEGF causes pruning of immature vessels, decrease in vessel density and diameter, and remodeling of the vasculature to more closely resemble the structure of normal vessels.87,88 More importantly, from the transport point of view, tumor vessels appear less tortuous and better perfused after treatment, and the IFP is significantly reduced, which restores pressure gradients across the vessel wall and leads to a deeper penetration of molecules into tumors and to improved oxygenation (Figure 4b–d).87,89,90

Agents with indirect antiangiogenic effects can also lead to vascular normalization. For example, trastuzumab significantly reduced the diameter, volume and permeability of tumor blood vessels, producing more normal networks by mimicking an antiangiogenic cocktail.91 In another example, haplodeficiency of the oxygen-sensing prolyl hydroxylase domain protein PHD2 normalized the endothelial lining resulting in reduced vessel leakiness and increased tumor perfusion and oxygenation.92,93

Tumor vascular normalization has been documented in rectal cancer patients receiving bevacizumab57 and recurrent glioblastoma patients receiving cediranib.94 IFP decreased by 70% 12 days after a single infusion of bevacizumab and vascular density decreased by 50%, causing a normalization of the tumor micro environment and more efficient delivery of fluorodeoxyglucose (FDG). Patients with recurrent glioblastoma showed a rapid normalization of the tumor microenvironment characterized by significant reduction in vascular permeability and vessel size.94

Vessel normalization might, however, compromise the transvascular transport of very large nanoparticles due to the decrease in the pore size of the vessel walls. The decrease of the pore size decreases the vascular per meability, P, and hydraulic conductivity, Lp, while it increases the reflection coefficient, σ (Box 2). The changes in these parameters decrease the particle flux across the vessel wall (Box 2) and might overwhelm the benefit gained by increasing perfusion and restoring the trans mural pressure difference (Chauhan, V. P. et al. unpublished data). As an additional consideration, vessel normalization is transient, and thus, anticancer agents should be given during the window of normalization.16,88 In addition to normalizing the structure and function of abnormal vessels, compressed vessels in tumors can be opened up and perfused by killing perivascular cancer cells28,30 and stromal cells.95 Unfortunately, these vessels become compressed again if the cancer or stromal cells regrow.

Normalization of tumor matrix

Penetration of molecules and nanoparticles in tumors depends on the volume fraction of the components of the extracellular matrix, particularly the collagen and glycosaminoglycan content. To improve drug penetration we have attempted to degrade these components and thus increase the accessible volume to the diffusing particle.75 Degradation of the collagen matrix with bacterial collagenase treatment in high collagen-content tumors (for example, HSTS26T sarcoma and Mu89 melanoma xenografts) caused a two-fold increase in the diffusion of antibodies, such as IgG (hydrodynamic radius 4.5 nm),72,75,96 while the interstitial distribution of herpes simplex virus (HSV; hydrodynamic radius 75 nm) was increased by a factor of three (Figure 5a).73,97 The distribution of HSV was also significantly increased by the ectopic expression of matrix metalloproteinase (MMP)-1 and MMP-8, which decreased the levels of tumor glycosaminoglycans and improved convection.79 Bacterial collagenase, MMP-1 and MMP-8 considerably improved the antitumor efficacy of oncolytic HSV. The hormone relaxin, which modifies the structure of collagen fibers, can also increase transport by diffusion (Figure 5b).98,99 Relaxin treatment caused a twofold increase in the diffusion of IgG and a threefold increase in the diffusion of dextran-2M (hydrodynamic radius 20 nm) in HSTS26T xenografts.98,99 A recently discovered tumor penetrating peptide, iRGD, also has the potential to improve the delivery of nanotherapeutics in solid tumors by improving interstitial transport.100

Figure 5.

Figure 5

Effect of normalizing collagen matrix. a | Effect of interstitial matrix normalization on oncolytic viral therapy. Mu89 melanomas implanted in the dorsal skin-fold chamber were treated with the oncolytic vector MGH2 in combination with collagenase. Infection of tumor cells was detected by expression of the reporter gene GFP (encoded within the virus). Coinjection of MGH2 with collagenase increased cell infection and resulted in tumor regression (blue line). *P <0.05. Permission obtained from the American Association of Cancer Research © McKee, T. D. et al. Cancer Res. 66, 2509–2513 (2006). b | Effect of relaxin on collagen matrix in tumors. Second harmonic generation images of the collagen structure in a Mu89 melanoma during relaxin treatment. Maximum intensity projections of the same region of collagen fibers at different time points are shown. Relaxin treatment decreased collagen levels (white). Permission obtained from Nature Publishing Group © Brown, E. et al. Nat. Med. 9, 796–800 (2003). Abbreviation: GFP, green fluorescent protein.

Design considerations

For optimal efficacy, a therapeutic agent must reach tumors in amounts sufficient to kill cancer cells but at the same time should not have adverse effects in normal tissues. Obviously, the smaller the particles the better the transport; however, small molecules, such as chemotherapeutics, generally extravasate in most normal tissues potentially causing adverse effects. The combination of the two constraints suggests that increasing the size of the nanoparticle will provide selectivity, but at the cost of limiting extravasation from some pores of tumor vessels and decreasing diffusion through the tumor matrix. Therefore, the size of the particle needs to be optimized for each tumor and its metastases. The challenge is that the tumor microenvironment is not spatially homogeneous and it changes with time and in response to treatment.

Not only the size but also the surface charge and the shape of therapeutic nanoparticles play a crucial role in extravasation and interstitial transport. On the one hand, it has been shown that cationic nanoparticles preferentially target tumor endothelial cells and exhibit a higher vascular permeability compared with their neutral or anionic counterparts.45–47 On the other hand, neutral nanoparticles diffuse faster and distribute more homogeneously inside the tumor interstitial space than cationic and anionic particles, because the latter form aggregates with negatively charged (for example, hyaluronan) or positively charged (for example, collagen) matrix molecules.78,80 As far as the particle shape is concerned, studies have shown that macromolecules with linear, semi-flexible configurations diffuse more efficiently in the interstitial matrix than do comparable sized, rigid spherical particles.70,74

The size of therapeutic particles also affects their circulation time in the blood stream. Provided the therapeutic agent is not toxic to normal tissues, it makes sense to prolong its half-life in the blood. The hydrodynamic diameter is inversely related to renal clearance. Particles with a hydrodynamic diameter smaller than 5–6 nm are rapidly cleared by the kidney (blood half-life <600 min), while increase in particle diameter can significantly increase the half-life of these agents in the blood and body.101,102 As for the effect of nanoparticle shape on the circulation time, it has been shown that filamentous micelles have circulation times about 10 times longer than their spherical counterparts,103 while filamentous nanotubes with very small diameters (<2 nm) have rapid renal clearance and circulation times of less than 3 h.104 In addition to the kidneys, inter action between nanoparticles and the reticuloendothelial system in the liver and the spleen has an important role in nanoparticle clearance. Clearance from the reticuloendothelial system depends not only on particle size but also on surface modification and can vary significantly among the different types of nanoparticles.105,106 As the surface charge becomes larger (either positive or negative), interactions with the reticuloendothelial system increase and lead to greater clearance of the particle. To achieve higher circulation times, modification with polyethylene glycols (PEGylation) is the most common approach. Nanoparticles are sterically stabilized by attaching PEGs to the surface and have surface charges that are slightly negative or positive. Steric stabilization prevents opsonization by serum proteins and phagocytosis by Kuppfer cells or hepatocytes.107–109

Furthermore, if the nanoparticle requires intracellular delivery, cellular internalization would depend on size, configuration and charge. For spherical particles, it has been shown that internalization is faster for smaller particles and might follow a different mechanism than for larger particles.110,111 In addition, researchers have found both experimentally and with the use of mathematical modeling that internalization is maximized for a range of particle sizes.112–114 For example, for gold and silver nanoparticles in the size range of 2–100 nm, particles of sizes 40–50 nm were able to most effectively bind and induce receptor-mediated endocytic processes.115 For non-spherical particles, it has been shown that the local geometry of the particle at the contact point with the cell determines whether it will be internalized or not.116 Specifically, internalization is more effective when rod-like particles align perpendicular to the cellular membrane as opposed to parallel alignment. Also, internalization is faster and more efficient for elongated particles (high aspect ratio), carrying a positive charge.117 It should be noted, however, that many of the particles used in these studies were in the micrometer size range, much larger than the formulations used in nanomedicine. Thus, their relevance to the delivery of nanomedicine in vivo remains to be shown.

The efficacy of nanomedicine might be improved by constructing nanoparticles that respond to properties of the tumor microenvironment (for example, low pH and partial oxygen pressure, and activated MMPs; Figure 6) or to external forces (for example, electric pulses, magnetic field, ultrasound, heat and light).118 Solid tumors have a lower interstitial pH than normal tissues,119 and thus many pH-sensitive nanocarriers have been developed to deliver their drugs to tumors.120–123 In addition, nanoparticle formulations have been developed that are activated by the enzymatic activity of proteinases in tumors.124–126 The targeting of nanoparticles to tumors can also be achieved by the application of external sources, such as electric or magnetic fields,127–129 ultrasound,130 heat,131 and light.132 Furthermore, mesoporous silica particles have been developed that function as vehicles for the controlled release of therapeutic anticancer agents.133–135

Figure 6.

Figure 6

Mean interstitial pH and pO2 as a function of the distance to the nearest blood vessel. Please note the low pH and low pO2 only becomes significantly low beyond 100 µm from a blood vessel wall. Thus, pH sensitive particles need to penetrate beyond 100 µm to take advantage of the low pH. Permission obtained from Nature Publishing Group © Helmlinger, G. et al. Nat. Med. 3, 177–182 (1997). Abbreviation: pO2, partial oxygen pressure.

Nanoparticles with targeting ligands (for example, monoclonal antibodies, their Fab fragments and other moieties) on their surface have been developed to specifically recognize and bind to the tumor vasculature or cancer cells.136 The targeting of the tumor vasculature by nanoparticles armed with targeting peptides suppresses tumor growth and metastasis in mice.137–139 Ligands that target cancer cells can increase the intracellular concentration and cytotoxity of nanoparticles, however, the intratumoral penetration is not improved significantly compared with non-targeted drug delivery particles.140 Tumor penetration is a passive process that requires a long circulating half-life to allow extravasation of the particle across the hyperpermeable tumor vessels and effective diffusion through the tumor interstitial space. The addition of targeting ligands increases the size and biological reactivity of the particles, which exacerbates the problem of transport across these barriers. There are, however, cases where targeted nanoparticles have been proven to increase penetration. Coating of abraxane with the Lyp-1 or iRGD peptide increased drug penetration and, thus, the efficacy of the treatment.139,141 In addition, another nanoparticle formulation has been recently shown to effectively deliver siRNA to humans.10 The challenge now is to deliver the nanoparticle uniformly throughout a tumor and its meta stases given the limitations of spatial and temporal changes in the expression of the target.

Conclusions

With increasing numbers of nanoparticles in preclinical and clinical studies for cancer detection and therapy, it is critical to consider the physiological barriers that hinder their delivery and develop strategies that can overcome these barriers. This coordinated approach will help to determine design criteria that optimize delivery. Given the highly heterogeneous and continuously evolving nature of the tumor microenvironment, the optimal design of nanoparticles is likely to be disease specific. This is a formidable task, especially considering the difference from one tumor to the next, from primary tumor to its metastasis, from one day to the next in the same tumor and the changes induced by treatment. In this review, we proposed some basic guidelines for the construction of nanotherapeutics based on approaches that reduce this heterogeneity.

Review criteria

Information for this Review was compiled by searching the PubMed and Web of Science databases for articles published before 6 June 2010, including early-release publications. Search terms included “barriers drug delivery tumors”, “nanomedicine delivery barriers”, “vessel normalization tumor”, and “nanoparticle clearance cancer”. Full articles were checked for additional material when appropriate, and articles that cite key publications were also checked.

Acknowledgments

We thank L. Munn, Y. Boucher, S. Goel, V. Chahaun and B. Diop-Frimpong for their helpful comments on the manuscript. This work was supported by the National institutes of Health (PO1-CA80124, RO1-CA126642, RO1-CA115767, RO1-CA85140, T32-CA73479), a Federal Share income Grant, and a DoD Breast Cancer Research innovator award (BC095991). T. Stylianopoulos was supported by a post-doctoral research fellowship from the Susan G. Komen Breast Cancer Foundation (KG091281).

Footnotes

Author contributions

R. K. Jain and T. Stylianopoulos both contributed to researching data for the article, discussion of content and writing and editing the manuscript.

Competing interests

R. K. Jain declares associations with the following companies: Alnylam, Astellas, AstraZeneca, Dyax, Enlight Biosciences, Genzyme, Millenium, MorphoSys, Noxxon, Pfizer, Roche and SynDevRx. See the article online for full details of the relationships. T. Stylianopoulos declares no competing interests.

References