Literature DB >> 3521923

Extravascular transport in normal and tumor tissues.

R K Jain, L E Gerlowski.   

Abstract

The transport characteristics of the normal and tumor tissue extravascular space provide the basis for the determination of the optimal dosage and schedule regimes of various pharmacological agents in detection and treatment of cancer. In order for the drug to reach the cellular space where most therapeutic action takes place, several transport steps must first occur: (1) tissue perfusion; (2) permeation across the capillary wall; (3) transport through interstitial space; and (4) transport across the cell membrane. Any of these steps including intracellular events such as metabolism can be the rate-limiting step to uptake of the drug, and these rate-limiting steps may be different in normal and tumor tissues. This review examines these transport limitations, first from an experimental point of view and then from a modeling point of view. Various types of experimental tumor models which have been used in animals to represent human tumors are discussed. Then, mathematical models of extravascular transport are discussed from the prespective of two approaches: compartmental and distributed. Compartmental models lump one or more sections of a tissue or body into a "compartment" to describe the time course of disposition of a substance. These models contain "effective" parameters which represent the entire compartment. Distributed models consider the structural and morphological aspects of the tissue to determine the transport properties of that tissue. These distributed models describe both the temporal and spatial distribution of a substance in tissues. Each of these modeling techniques is described in detail with applications for cancer detection and treatment in mind.

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Year:  1986        PMID: 3521923     DOI: 10.1016/s1040-8428(86)80023-3

Source DB:  PubMed          Journal:  Crit Rev Oncol Hematol        ISSN: 1040-8428            Impact factor:   6.312


  20 in total

1.  Sterically stabilized liposomes: improvements in pharmacokinetics and antitumor therapeutic efficacy.

Authors:  D Papahadjopoulos; T M Allen; A Gabizon; E Mayhew; K Matthay; S K Huang; K D Lee; M C Woodle; D D Lasic; C Redemann
Journal:  Proc Natl Acad Sci U S A       Date:  1991-12-15       Impact factor: 11.205

2.  Dynamic, contrast-enhanced CT of human brain tumors: quantitative assessment of blood volume, blood flow, and microvascular permeability: report of two cases.

Authors:  Heidi C Roberts; Timothy P L Roberts; Ting-Yim Lee; William P Dillon
Journal:  AJNR Am J Neuroradiol       Date:  2002-05       Impact factor: 3.825

3.  Targeted nanoparticle enhanced proapoptotic peptide as potential therapy for glioblastoma.

Authors:  Lilach Agemy; Dinorah Friedmann-Morvinski; Venkata Ramana Kotamraju; Lise Roth; Kazuki N Sugahara; Olivier M Girard; Robert F Mattrey; Inder M Verma; Erkki Ruoslahti
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-03       Impact factor: 11.205

Review 4.  Transport of molecules across tumor vasculature.

Authors:  R K Jain
Journal:  Cancer Metastasis Rev       Date:  1987       Impact factor: 9.264

5.  Perfusion computed tomography assessments of peri-enhancing brain tissue in high-grade gliomas.

Authors:  A Stecco; F Fabbiano; P Amatuzzo; E Cignini; M Brambilla; L Masini; M Krengli; A Carriero
Journal:  Radiol Med       Date:  2012-08-08       Impact factor: 3.469

6.  Liposomes bearing polyethyleneglycol-coupled transferrin with intracellular targeting property to the solid tumors in vivo.

Authors:  O Ishida; K Maruyama; H Tanahashi; M Iwatsuru; K Sasaki; M Eriguchi; H Yanagie
Journal:  Pharm Res       Date:  2001-07       Impact factor: 4.200

Review 7.  Biodistribution mechanisms of therapeutic monoclonal antibodies in health and disease.

Authors:  Mohammad Tabrizi; Gadi Gazit Bornstein; Hamza Suria
Journal:  AAPS J       Date:  2009-11-19       Impact factor: 4.009

8.  Role of perfusion CT in glioma grading and comparison with conventional MR imaging features.

Authors:  S K Ellika; R Jain; S C Patel; L Scarpace; L R Schultz; J P Rock; T Mikkelsen
Journal:  AJNR Am J Neuroradiol       Date:  2007-09-24       Impact factor: 3.825

Review 9.  Lipid-Based Drug Delivery Systems in Cancer Therapy: What Is Available and What Is Yet to Come.

Authors:  Phatsapong Yingchoncharoen; Danuta S Kalinowski; Des R Richardson
Journal:  Pharmacol Rev       Date:  2016-07       Impact factor: 25.468

10.  Liposome formulations with prolonged circulation time in blood and enhanced uptake by tumors.

Authors:  A Gabizon; D Papahadjopoulos
Journal:  Proc Natl Acad Sci U S A       Date:  1988-09       Impact factor: 11.205

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