SynthesisDrug design, development and therapy2020
Metabolite Profiling in Anticancer Drug Development: A Systematic Review.
Synthesis in Drug design, development and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Anticancer Potentials of the Lignan Magnolin: A Systematic Review.Molecules (Basel, Switzerland) · 2023Pooled it
- M6 Metabolite Contributes to the Efficacy of the Rac/Cdc42 Inhibitor MBQ-167 in Metastatic Breast Cancer.Molecular cancer therapeutics · 2026Article
- Plant-Derived Modulators of Tumor Metabolism as Novel, Efficacious, and Low-Toxicity Therapeutic Agents for Cancer Treatment.Molecules (Basel, Switzerland) · 2026Review
- The Role of Exosomal Biomarkers in the Monitoring of Bioactivation and Metabolite Clearance of Chemotherapeutics in Cancer Patients.Current drug metabolism · 2026Review
- The Comparative Metabolism of a Novel Hepatocellular Carcinoma Therapeutic Agent, 2,3-Diamino-Metabolites · 2024Article
- Effectiveness of Treatments That Alter Metabolomics in Cancer Patients-A Systematic Review.Cancers · 2023Review
- Metabolism-Guided Optimization of Tryptophanol-Derived Isoindolinone p53 Activators.Pharmaceuticals (Basel, Switzerland) · 2023Article
- Article
- Editorial: Chromatographic analytical methods for quantifying newly marketed targeted antitumor drugs.Frontiers in pharmacology · 2023Article
- Chemotherapeutic and Safety Profile of a Fraction fromJournal of oncology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Drug metabolism is one of the most important pharmacokinetic processes and plays an important role during the stage of drug development. The metabolite profile investigation is important as the metabolites generated could be beneficial for therapy or leading to serious toxicity. This systematic review aims to summarize the research articles relating to the metabolite profile investigation of conventional drugs and herb-derived compounds for cancer chemotherapy, to examine factors influencing metabolite profiling of these drugs/compounds, and to determine the relationship between therapeutic efficacy and toxicity of their metabolites. The literature search was performed through PubMed and ScienceDirect databases up to January 2019. Out of 830 published articles, 78 articles were included in the analysis based on pre-defined inclusion and exclusion criteria. Both phase I and II enzymes metabolize the anticancer agents/herb-derived compounds . The major phase I reactions include oxidation/hydroxylation and hydrolysis, while the major phase II reactions are glucuronidation, methylation, and sulfation. Four main factors were found to influence metabolite formation, including species, gender, and route and dose of drug administration. Some metabolites were identified as active or toxic metabolites. This information is critical for cancer chemotherapy and anticancer drug development.
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Registered trials
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.