New Platform PanDrugs Curating Anticancer Treatments According to Individual Needs
) program analyses alterations in tumor genes, relates them to existing available drugs, and reports on the most suitable ones. It handles data on more than 4,600 genes and 14,600 chemical compounds. It generates information on around 74,000 associations between drugs and genes.
‘Precision’ medicine seeks to adapt treatments to the characteristics of each patient. Genome studies are providing more and more data to achieve this, but this very abundance of information is hampering the task.
Doctors must interpret numerous genetic alterations, and only a few will be relevant to diagnose the type and stage of each cancer and decide how to treat it. To facilitate this task, the PanDrugs2 software program has been generating reports to facilitate clinical decisions.
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PanDrugs2 analyses the genomic data of each patient in search of so-called ‘molecular targets’, in other words, molecules on which existing drugs act (2✔ ✔Trusted Source
Integrative omics for health and disease
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). The platform calculates one scoring system for the relevant genes and another for drugs that could act on them.The highest scores are received by drugs with the greatest scientific evidence as being effective against the therapeutic targets detected in patients. From these scores, the tool generates a ranking of treatments.
Researchers have sought a clear display format that is very easy for professionals to interpret, but still exhaustive. They want all the knowledge available so far to be useful in medical consultations.
PanDrugs2 improves on the previous PanDrugs platform, published five years ago. For example, it is the first platform that considers inherited (or germinal) mutations, in addition to those that originated after conception (or somatic) (3✔ ✔Trusted Source
The use of PanDrugs to prioritize anticancer drug treatments in a case of T-ALL based on individual genomic data
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This is essential information for precision medicine because inherited genetic changes are responsible for variations between individuals in terms of the required dosage of medicine. Or for one substance being more effective than another.
As for information regarding drugs, PanDrugs2 classifies them according to the type of disease for which they are indicated, the resistance they may generate; or the clinical phase in which they are: In the trial, US-approved, EU approved, experimental treatments, etc.
The program is free and open source. Given its tremendous utility in research, it offers two modes of consultation: clinical, aimed at medical professionals, which includes in its results approved and/or clinical trial drugs; and discovery mode.
References :
- PanDrugs2: prioritizing cancer therapies using integrated individual multi-omics data – (https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkad412/7173696)
- Integrative omics for health and disease – (https://www.nature.com/articles/nrg.2018.4)
- The use of PanDrugs to prioritize anticancer drug treatments in a case of T-ALL based on individual genomic data – (https://bmccancer.biomedcentral.com/articles/10.1186/s12885-019-6209-9)
Source: Eurekalert
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