ReviewClinical pharmacokinetics1998
Pharmacokinetic optimisation of the treatment of cancer with high dose zidovudine.
Review in Clinical pharmacokinetics, 1998. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 12 citations in OpenAlex.
- New Variants of Tomato Thymidine Kinase 1 Selected for Increased Sensitivity of E. coli KY895 towards Azidothymidine.Cancers · 2015Article
- Tomato thymidine kinase-based suicide gene therapy for malignant glioma--an alternative for Herpes Simplex virus-1 thymidine kinase.Cancer gene therapy · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The thymidine analogue zidovudine is currently used for the treatment of HIV-infected patients, as the early development of the drug as an anticancer agent yielded modest results. A comprehensive preclinical analysis, however, showed that inhibitors of de novo thymidylate synthesis, including fluorouracil and methotrexate, enhanced the antiproliferative activity of zidovudine in cancer cells. Significant inhibition of tumour growth was obtained in mice bearing human colon cancer xenografts and given intraperitoneal zidovudine 300 to 600 mg/kg weekly in combination with methotrexate 87.5 mg/kg or intraperitoneal fluorouracil 85 mg/kg, and in pharmacokinetic studies high peak drug plasma concentrations (Cmax) of zidovudine were obtained, ranging from 610.3 to 1698.8 mumol/L. In order to exploit the therapeutic activity of zidovudine, phase I and II clinical studies were designed in combination with fluorouracil and the pharmacokinetic-pharmacodynamic profile of zidovudine was investigated. Clinical responses were obtained in patients treated intravenously with bolus fluorouracil 500 mg/m2, leucovorin and short (90 to 120 minutes) infusions of high dose zidovudine (up to 10 g/m2), generating drug Cmax similar to those obtained in preclinical models. However, in chemotherapy-pretreated patients receiving high dose zidovudine by the oral route (1 to 9 g/m2/day) or 48-hourly continuous intravenous infusion (2 to 20 g/m2/day) in combination with fluorouracil and leucovorin, treatment failures were observed despite high systemic exposure, described as the area under the plasma concentration-time curve and the occurrence of DNA strand breaks in peripheral blood mononucleated cells, the biological expression of zidovudine activity. In conclusion, preclinical and clinical evidence suggest that the schedule of administration of zidovudine is a requisite for the expression of its activity, indicating the importance of concentration-monitored trials to optimise chemotherapy dose administration in patients. The likelihood of tumour response appears to be related to the achievement of high peak plasma concentrations of zidovudine, and constant infusions appear less likely to produce clinical results.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.