Looking for clinically validated anticancer drugs list

Question

[elb]

Hi guys, I have a list of genes and I would like to know if among my genes there are targets of known or at least clinically validated drugs in the sense that at least the drugs have to be in some phase of clinical validation. No computational predictions, no hypothesis but only clinical validity. Drugs validated in vivo will be ok. Do you have an idea about the available tools to achieve my goal?

Thank you in advance

[GenoMax]

You may have already looked at a search with the terms (anticancer drug database). Several papers/db surface via google. You should list ones you don't like/have looked at so you don't get those same suggestions in answers/comments.

[elb]

Thank you very much for your suggestion. The point is that there are many resources and it is hard to filter out what is not proper for your research. For this reason I was looking for someone already expert in the field. Anyway thank you again.

[GenoMax]

Thanks for that clarification. While you wait for answers there should be enough leads for you to look through via the search I mentioned above.

[elb]

Of course I'm doing it.

Answer 1

[Arnaud Ceol]

You could have a look at the Therapeutic target database: https://db.idrblab.org/ttd/. I've used it in the past without any filter, but I've seen it is possible to search for target AND disease.

[elb]

Thank you very very much! Exactly what I need.

[GenoMax]

If the answer resolved your question you should mark it as accepted.

[elb]

Done! Thank you to all

Answer 2

[Denise CS]

You can use the batch search tool of Open Targets. Input your list of genes (either HGNC, UniProt IDs or Ensembl IDs) and get the drugs targeting those genes. You will get the drug (e.g. CELECOXIB), its clinical phase (e.g. IV), mechanism of action, and links to the original source of the data, i.e. ChEMBL. In addition to the drugs, you will see the diseases these targets are associated with, the pathways they are involved with and the interactions between them at the protein level. There is this quick animation showing how.

If your list of genes is not too long, you can use the Open Targets Platform instead and enter each gene on a one by one case basis. The data is the same as what you get from the batch search, the visualisations are slightly different. These are the drugs in clinical trials used as evidence for ITGAL in psoriosis.