ArticleThe AAPS journal2016
Therapeutic Application of Pharmacogenomics in Oncology.
Article in The AAPS journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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
7 citing papers in PubMed, 12 citations in OpenAlex.
- Structural pharmacogenomics of drug-associated SNPs in oral squamous cell carcinoma.Frontiers in genetics · 2026Article
- A Comparison of Molecular Techniques for Improving the Methodology in the Laboratory of Pharmacogenetics.International journal of molecular sciences · 2024Article
- Clinical pharmacists' knowledge, attitude, perception, and beliefs about the role of pharmacogenetic testing for genes polymorphisms when prescribing mercaptopurine.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024Article
- Molecular Modeling and In Vitro Evaluation of Piplartine Analogs against Oral Squamous Cell Carcinoma.Molecules (Basel, Switzerland) · 2023Article
- Application of pharmacogenetics in oncology.Biomarker research · 2020Review
- Feasibility of Integrating Panel-Based Pharmacogenomics Testing for Chemotherapy and Supportive Care in Patients With Colorectal Cancer.Technology in cancer research & treatment · 2019Article
- Potential Benefits of Pre-emptive PGx Testing in Male Breast Cancer Patients.Innovations in pharmacy · 2019Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Personalizing cancer treatment has been proved to be difficult for healthcare providers due to the nature of chemotherapies which includes narrow therapeutic indices, severe and potential life-threatening toxicities, and variable response rates and efficacies. Studies in pharmacogenomics (PGx) may help guide clinicians to personalize treatment for cancer patients. Implementing PGx in cancer treatment may offer choices to anticipate differences in drug response, resistance, efficacy, and toxicity within chemotherapeutic agents and targeted immune biologic agents. This can be used to achieve optimization of treatment regimens based on patients' variability. Many of the cancer treatment agents are biologics targeting specific antigens expressed on cancer cells, or blocking stimulators and signal transduction pathways of tumor growth, or enhance anticancer immune responses. It is now crucial for clinicians to understand the important association of clinically important biomarker polymorphisms with the clinical benefits of cancer therapies. By identifying specific PGx biomarker polymorphisms present in cancer cells, physicians can select and tailor a patient's treatment based on his or her genetic profile. PGx-guided cancer treatment may have the ability to improve the survival of patients while avoiding the unnecessary cost due to unresponsive treatment and toxicities of that patients experience.
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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.