Cytotoxic Chemotherapy Drug Education - Basic Concepts

Basic Concepts

Exposure optimization of cytotoxic chemotherapy drugs during chemotherapy treatment requires knowledge of the pharmacokinetic parameters describing the processes of absorption, distribution, metabolism and excretion (ADME).

  • Absorption: Absorption of drugs from the administration site into the bloodstream is the first major barrier to consider in determining the amount of drug that enters systemic circulation. For instance, orally administered drugs must pass through the intestine and liver before they are available in the blood. As a result, orally administered drugs typically demonstrate more pharmacokinetic variability than intravenously administered drugs.
  • Distribution: Once a drug is absorbed, it is distributed to tissues throughout the body in the extravascular space. Distribution of drugs from the blood into organs depends on the characteristics of a drug, physiologic conditions of the tissue and the amount of drug bound to plasma proteins.
  • Metabolism: The liver is the major site of metabolism, which is mediated by numerous classes of phase I and II metabolizing enzymes. Because of the large number of enzymes involved, metabolism is a major source of inter-individual variability.
  • Excretion: Drug transporters in the biliary tract and kidney facilitate the excretion of unchanged drug and metabolites from the body.

Pharmacokinetic Parameters

Following multiple dosing, the maximum and minimum concentrations of a drug are reached after achieving “steady-state.” A representative concentration versus time curve describes some pharmacokinetic parameters (Figure 1).

Figure 1. Pharmacokinetic Profile of a Plasma Concentration-Time Curve

 

AUC: Area Under the Curve

  • AUC is the measure of total plasma exposure of a drug over a given time period and is determined by the administered dose and clearance of the drug. AUC is derived from the area under the plasma drug concentration versus time curve and is estimated by taking multiple concentration measurements at various time points to predict AUC.
  • The AUC of antineoplastics can be estimated using limited sampling schemes, which have fewer measurements of the plasma concentrations. In comparison to more extensive pharmacokinetic sampling, limited sampling decreases cost and patient inconvenience but must be prospectively validated to ensure the AUC is accurately determined.

Steady State

  • During constant infusion or multiple dosing of a drug, drug levels rise until they reach a plateau level, or steady state level, in the blood and in the tissues.

Cmin: Minimum Plasma Concentration

  • Cmin is the lowest plasma drug concentration observed, also referred to as “trough” concentration.

Cmax: Maximum Plasma Concentration

  • Cmax is the highest plasma drug concentration observed.

Tmax: Time to Reach Cmax

  • Tmax is the time at which the highest drug concentration (Cmax) occurs following administration of an extravascular dose.

T1/2: half-life

  • T1/2 is the time required for a given drug concentration to decrease by 50%. T1/2 is determined by the clearance and the volume of distribution.

Cl: Clearance

  • Cl is a measure of the efficiency of drug removal from the blood or plasma. Removal of drug from the body is mediated by metabolism and excretion. Clearance is the ratio of the dose administered to AUC.

Vd: Volume of Distribution

  • Vd is the apparent volume of body fluids into which a drug distributes at equilibrium. Each drug has a different volume of distribution reflecting the extent of partitioning in the tissues relative to plasma.

Therapeutic Window

  • The range of plasma concentrations between the minimally effective concentration and the concentration associated with toxicity is called the therapeutic window, or therapeutic index (Figure 2). In cancer chemotherapy, drug concentrations falling below the minimally effective concentration are sub-therapeutic and may lead to cancer progression and multi-drug resistance. Most antineoplastics are associated with severe adverse reactions; therefore drug concentrations above the therapeutic index may lead to life-threatening toxicity.

Figure 2. The Therapeutic Window

 

There are many factors that may impact inter-individual pharmacokinetic variability, some of which are outlined in Table 1.1-3 As a result of the high degree of variability within and among patients, equal doses of the same drug in two different individuals can result in dramatically different clinical outcomes (Figure 3).

Table 1. Sources of Pharmacokinetc Variability

Undevia SD, Gomez-Abuin G, Ratain MJ. Pharmacokinetic variability of anticancer agents. Nat Rev Cancer. 2005;5(6):447-458. 

 Figure 3. Equal Doses Result in Different Clinical Outcomes2

 

 

References

  1. de Jonge ME, Huitema ADR, Schellens JHM, et al. Individualized cancer chemotherapy: strategies and performance of prospective studies on therapeutic drug monitoring with dose adaptation. Clin Pharmacokinet. 2005;44(2):147-173. [PubMed]
  2. Hon YY, Evans WE. Making TDM work to optimize cancer chemotherapy: a multidisciplinary team approach. Clin Chem. 1998;44:388-400. [Publisher PDF]
  3. Undevia SD, Gomez-Abuin G, Ratain MJ. Pharmacokinetic variability of anticancer agents. Nat Rev Cancer. 2005;5(6):447-458. [PubMed]

Bibliography

Baker DS, Verweil J, Rowinsky EK, et al. Role of body surface area in dosing of investigational anticancer agents in adults, 1991-2001. J Natl Cancer Inst. 2002 Dec. 18;94(24):1883-8. [Publisher PDF]

Krynetski EY, Evans WE. Pharmacogenetics of cancer therapy: getting personal. Am J Hum Genet.1998;63(1):11-16. [PubMed]

Lyman GH, Dale DC, Tomita D, et al. A retrospective evaluation of chemotherapy dose intensity and supportive care for early-stage breast cancer in a curative setting. J ClinOncol. 2003;21(24):4524-4531. [Publisher PDF]

McDonald GB, Slattery JT, Bouvier ME, et al. Cyclophosphamide metabolism, liver toxicity, and mortality following hematopoietic stem cell transplantation. Blood. 2003;101:2043-2048. [Publisher PDF]

Partridge AH, Avorn J, Wang PS, Winer EP. Adherence to therapy with oral antineoplastic agents. J Natl Cancer Inst. 2002;94(9):652-661. [Publisher PDF]

- See more at: http://www.mycaretests.com/health-care-professionals/mycare-learning-center/pharmacology/#sthash.Xz2DAan2.dpuf