The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.
The 35th Anniversary of the Discovery of EPR Effect: A New Wave of Nanomedicines for Tumor-Targeted Drug Delivery—Personal Remarks and Future Prospects
Open accessAbstract
This Special Issue on the enhanced permeability and retention (EPR) effect commemorates the 35th anniversary of its discovery, the original 1986 Matsumura and Maeda finding being published in Cancer Research as a new concept in cancer chemotherapy. My review here describes the history and heterogeneity of the EPR effect, which involves defective tumor blood vessels and blood flow. We reported that restoring obstructed tumor blood flow overcomes impaired drug delivery, leading to improved EPR effects. I also discuss gaps between small animal cancers used in experimental models and large clinical cancers in humans, which usually involve heterogeneous EPR effects, vascular abnormalities in multiple necrotic foci, and tumor emboli. Here, I emphasize arterial infusion of oily formulations of nanodrugs into tumor-feeding arteries, which is the most tumor-selective drug delivery method, with tumor/blood ratios of 100-fold. This method is literally the most personalized medicine because arterial infusions differ for each patient, and drug doses infused depend on tumor size and anatomy in each patient. Future developments in EPR effect-based treatment will range from chemotherapy to photodynamic therapy, boron neutron capture therapy, and therapies for free radical diseases. This review focuses on our own work, which stimulated numerous scientists to perform research in nanotechnology and drug delivery systems, thereby spawning a new cancer treatment era.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures
![Figure 1 The enhanced permeability and retention (EPR) effect in tumor vasculature. The mechanism of this tumor-selective macromolecular drug targeting depends on various effectors affecting vascular tone, as shown here. Aprotinin is an inhibitor of kallikrein; HOE-140 is a peptide antagonist of kinin. SBTI, soybean trypsin inhibitor; NO, nitric oxide; eNOS, endothelial nitric oxide synthase; iNOS, inducible form of nitric oxide synthase; COXs, cyclooxygenases; PGs, prostaglandins; MMP, metalloproteinase; ONOO−, peroxynitrite; O2−, superoxide anion radical; MΦ, macrophage; VEGF, vascular endothelial growth factor; VPF, vascular permeability factor; uPA, urokinase plasminogen activator; IL, interleukin; TNF, tumor necrosis factor; B2 receptor, bradykinin B2 receptor (see also Supplementary Figure S1, adapted from ref [23]).](/paper-figures/10cadbefc80148af81498baa599e0624/the-35th-anniversary-of-the-discovery-of-epr-effect-a-new-wave-of-nanomedicines-figure-1.jpg)
![Figure 2 Comparison of the cellular uptake of P-THP—the poly(hydroxypropylmethaacrylamide [HPMA]) conjugate of pirarubicin (THP)—and P-DOX (HPMA polymer-DOX conjugate) by human pancreatic cancer cells (SUIT-2) in vitro. (A) Polymeric P-THP shows a far greater uptake by tumor cells compared with P-DOX: at 30 min, P-THP had a 33.2-fold higher uptake, and its cytotoxicity had greatly increased (see Table at lower left). (B) Penetration of P-DOX, DOX, P-THP, and THP into spheroidal tumor colon cancer (Adapted with permission from ref. [39,40]. 2016 American Chemical Society, 2019 American Chemical Society). Far greater penetration of P-THP into the tumor spheroid (similar to Figure 2, Table) is seen.](/paper-figures/98ec6820c6f54bab9dc4c12e5eab85c3/the-35th-anniversary-of-the-discovery-of-epr-effect-a-new-wave-of-nanomedicines-figure-2.jpg)

![Figure 4 Fluorescence imaging of breast cancer in a rat and of implanted S180 tumor in a mouse, after intravenous injection of P-ZnPP. (A) DMBA (7,12-dimethylbenz[a]anthracene)-induced breast cancer in a rat. Under fluorescent light (left) and under normal light (right). (B) Fluorescent image of nano-PSs: polymeric HPMA-ZnPP (P-HPMA-ZnPP) and free ZnPP. (C) Rhodamine-conjugated bovine albumin (BSA) vs. free rhodamine. Images show no accumulation of LMW free PSs in tumors (B,C). (A, adapted from [58]; B,C, adapted from ref. [4]).](/paper-figures/3ff11357cc30428ba193e97b3b4fe43f/the-35th-anniversary-of-the-discovery-of-epr-effect-a-new-wave-of-nanomedicines-figure-4.jpg)

![Figure 6 This represents the mode of action of poly(styrene-co-maleic acid) conjugated glucosamine (SGB-complex), which forms complex with boric acid, then forms micelles (~15 nm) and exhibits the EPR effect, about 10 times more boron accumulation in the tumor than other normal tissue [67]. When this SGB-complex is used, it exhibits three different cell killing mechanisms as denoted by “①, ②, and ③” in this figure. By neutron irradiation at right, ③, it elicits the production of α-particles which will kill the tumor cells within 10 micron radius. SGB-complex is rapidly incorporated into the tumor cells and inhibit both glycolysis ① and production of lactic acid; ② it also affects the structural integrity of mitochondria, and its size will shrink and suppress ATP production in the cells (Reprinted with permission from ref. [67]. 2020 Elsevier Ltd.).](/paper-figures/480bbd18bc564d59bc2b9edffaee026b/the-35th-anniversary-of-the-discovery-of-epr-effect-a-new-wave-of-nanomedicines-figure-6.jpg)

Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“However, many clinical cancers such as late-stage tumors and refractory tumors are associated with poor blood flow due to the coagulation and thrombi formation exhibiting poor EPR effect [7,8,9,10,11,12].”
From Approaches to Improve EPR-Based Drug Delivery for Cancer Therapy and Diagnosis (2023) · cites this paper as [7]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The EPR effect can be enhanced by modifying vascular intermediaries such as angiotensin II, nitroglycerin or NO, CO, and enzyme inhibitors [7,8,9,10].”
From Approaches to Improve EPR-Based Drug Delivery for Cancer Therapy and Diagnosis (2023) · cites this paper as [7]
Experimental — accuracy not yet measuredIn the citing paper
“However, because tumor blood flow and vascular permeability are significantly varied from each other, the EPR effect may not be beneficial for all solid tumors.194”
From Smart nanoparticles for cancer therapy (2023) · cites this paper as [194]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Matsumura, Y., & Maeda, H. (1986) · PubMed · Cited by 6,781
Self-citationAnalysis of nanoparticle delivery to tumours
Wilhelm, S., Tavares, A. J., Dai, Q., Ohta, S., Audet, J., Dvorak, H. F., & Chan, W. C. W. (2016) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.14 · Cited by 5,218
Fang, J. Q., Nakamura, H., & Maeda, H. (2010) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2010.04.009 · Cited by 3,573
Self-citationMaeda, H. (2001) · Advances in Enzyme Regulation · doi:10.1016/s0065-2571(00)00013-3 · Cited by 2,495
Self-citationMaeda, H., Nakamura, H., & Fang, J. (2013) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2012.10.002 · Cited by 2,376
Self-citationPrabhakar, U., Maeda, H., Jain, R. K., Sevick-Muraca, E. M., Zamboni, W. C., Farokhzad, O. C., Barry, S. T., Gabizón, A., Grodzinski, P. A., & Blakey, D. C. (2013) · Cancer Research · doi:10.1158/0008-5472.can-12-4561 · Cited by 1,493
Self-citationGabizón, A., Catane, R., Uziely, B., Kaufman, B., Safra, T., Cohen, R., Martin, F., Huang, A., & Barenholz, Y. (1994) · PubMed · Cited by 1,382
Maeda, H. (2015) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2015.01.002 · Cited by 1,179
Self-citationTumor-Selective Delivery of Macromolecular Drugs via the EPR Effect: Background and Future Prospects
Maeda, H. (2010) · Bioconjugate Chemistry · doi:10.1021/bc100070g · Cited by 997
Self-citationMacromolecular therapeutics in cancer treatment: The EPR effect and beyond
Maeda, H. (2012) · Journal of Controlled Release · doi:10.1016/j.jconrel.2012.04.038 · Cited by 815
Self-citation
Research works printed but not linked: 2
- Pasut, G., and Zalipsky, S. (2020). Overcoming barriers for tumor-targeted drug delivery: The power of macromo-lecular anticancer drugs with the EPR effect and the modulation of vascular physiology. Polymer-Protein Conjugation: From PEGylation and Beyond, Elsevier.
- Maeda, 2015, Great expectations for innovative PDT and tumor imaging using fluorescing nanophotosensitizers that utilizes EPR effect, JSMI Rep., 9, 3
Cited by
Sorted by citations
Smart nanoparticles for cancer therapy
Sun, L., Liu, H., Ye, Y., Lei, Y., Islam, R., Tan, S., Tong, R., Miao, Y.-B., & Cai, L. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01642-x · Cited by 1,073
Nanomedicine in cancer therapy
Fan, D., Cao, Y., Cao, M., Wang, Y., Cao, Y., & Gong, T. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01536-y · Cited by 986
Filippov, S. K., Рамисович, Х. Р., Murmiliuk, A., Inam, W., Zakharova, L. Y., Zhang, H., & Khutoryanskiy, V. V. (2023) · Materials Horizons · doi:10.1039/d3mh00717k · Cited by 587
Engineering mesoporous silica nanoparticles for drug delivery: where are we after two decades?
Vallet‐Regí, M., Schüth, F., Lozano, D., Colilla, M., & Manzano, M. (2022) · Chemical Society Reviews · doi:10.1039/d1cs00659b · Cited by 537
The tumor EPR effect for cancer drug delivery: Current status, limitations, and alternatives
Sun, R., Xiang, J., Zhou, Q., Piao, Y., Tang, J., Shao, S., Zhou, Z., Bae, Y. H., & Shen, Y. (2022) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2022.114614 · Cited by 474
Metadata
- Authors
- Maeda, H.
- Affiliations
- Tohoku University (JP)
- Corresponding author
- Maeda, Hiroshi
- ORCID
- Maeda, Hiroshi
- Venue
- Journal of Personalized Medicine
- Publisher
- MDPI AG
- Published
- 2021-03-22
- Volume
- 11
- Issue
- 3
- Pages
- 229
- ISSN
- 2075-4426 (ISSN-L)
- PMC
- PMC8004895
- OpenAlex
- W3138405372
- Cited by
- 167
- References
- 87
- Citations by year
- 2026: 24 · 2025: 23 · 2024: 29 · 2023: 35 · 2022: 40 · 2021: 15
- FWCI
- 2.06
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Personalized Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Japan Society for the Promotion of Science (18H04059, 29400001)
- Topics
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Physical Sciences › Engineering › Biomedical Engineering › Ultrasound and Hyperthermia Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Angiogenesis and VEGF in Cancer
- Keywords
- enhanced permeability and retention effect, anticancer drug delivery, nanomedicine, tumor perfusion, tumor vasculature, arterial infusion, tumor emboli, tumor necrosis, photodynamic therapy, boron neutron capture therapy, cancer chemotherapy, personalized medicine
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